Method and sensor device for acoustically monitoring measurement point on fitting through which fluid flows, and corresponding sensor device
By detecting the spectrum of environmental noise and structural sound at the condensation drainage site, forming a characteristic mode to judge the operating state, the problem of contactless measurement in the prior art is solved, and safe and accurate monitoring is achieved in high-temperature environments.
Patent Information
- Application Number
- CN202380063098.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2022-09-02
- Filing Date
- 2023-09-01
- Publication Date
- 2025-04-15
AI Technical Summary
In the prior art, when monitoring the operating state of condensation drainage, it is difficult to achieve contactless accurate measurements in complex steam conveying equipment, especially in high temperature environments at the condensation drainage.
By detecting the ambient noise and structural sound around the measurement points, the spectrum in different frequency ranges is determined, and characteristic modes are formed based on these spectrums to determine the operating state of the condensation and drainage. This method does not require direct contact with condensation drainage, and can be measured at a longer distance, improving user safety and flexibility.
It realizes condensation drainage in difficult to access or high temperature environments, safely and accurately monitoring its operating status, reducing user health risks and improving measurement flexibility and accuracy.
Smart Images
Figure CN119836539A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a method for acoustically monitoring measuring points at a fitting through which a fluid flows, in particular at a condensate drain. The invention also relates to a sensor device for acoustically monitoring measuring points at a fitting through which a fluid flows, a computer program and a computer-readable medium. Background Art
[0002] Methods for acoustically monitoring measuring points at fittings through which a fluid flows, in particular at condensate drains, are known in the prior art. For this purpose, measuring devices are known which are placed directly on the condensate drain by means of a measuring tip. Such measuring devices measure the intensity of the structure-borne sound generated by the condensate drain, in particular in the ultrasonic frequency range, and derive therefrom the set operating state of the analyzed condensate drain. In the case of condensate drains, it is therefore very important to detect operating errors at an early stage. For example, undesired steam losses associated with specific acoustic features, which are detected in particular on the basis of the emitted structure-borne sound, are such operating errors. Although the contact measuring instruments known from the prior art have proven themselves, there is still room for improvement.
[0003] Since condensate drains are often installed in complex steam transport installations, the challenge sometimes arises of establishing indirect contact with the condensate drain and attaching measuring instruments known from the prior art to the condensate drain for measuring purposes. In this case, there can be potential risks for the respective user, who has to be in close proximity to the possibly very hot condensate drain. Summary of the invention
[0004] In view of the above, the invention is based on the object of further developing a method for acoustically monitoring a measuring point at a fitting through which a fluid flows or at a corresponding sensor device in order to eliminate the disadvantages existing in the prior art as much as possible. In particular, a method and a sensor device are to be specified which increase the reading comfort for the user and which can also be used safely in difficult-to-access locations and at very hot condensation drains.
[0005] In the case of a method of the type described above, this object is achieved according to the invention by the following steps: detecting ambient noise acoustic emissions in the area surrounding the measuring point, detecting structure-borne sound emissions emitted by the measuring point, determining a first spectrum of the ambient noise acoustic emissions in a first frequency range, determining at least one other spectrum of the ambient noise acoustic emissions in at least one other frequency range, determining a first spectrum of the structure-borne sound emissions in the first frequency range, determining at least one other spectrum of the structure-borne sound emissions in at least one other frequency range, determining a first characteristic number based on the spectrum in the first frequency range, determining further characteristic numbers based on further spectra in further frequency ranges, wherein the characteristic numbers form a characteristic pattern, and determining the operating state of the condensation drainage based on the characteristic pattern.
[0006] The present invention makes use of the knowledge that, based on the method steps mentioned, the operating state of a fitting or a condensation drain can be determined independently of the need for contact-based structure-borne sound measurements. This is possible in particular because the ambient noise of the usually relatively weak structure-borne sound useful signal of the condensation drain is detected and taken into account during the corresponding evaluation. In this way, a characteristic pattern can be determined which serves as an indicator of a set operating state of the condensation drain.
[0007] Here, a characteristic pattern is understood to be a curve formed by individual characteristic numbers, which are derived from the corresponding frequency spectrum, wherein the characteristic pattern allows inferences about the operating state of the accessory. The frequency ranges preferably have no overlap with the selected frequencies and are optionally arranged adjacent to each other. The frequency ranges preferably lie in the overall frequency range of 0 kHz to 100 kHz. The frequency range preferably has a range width of 1 kHz to 30 kHz, in particular 10 kHz to 25 kHz.
[0008] According to a preferred embodiment, the detection of ambient noise acoustic emissions and the detection of structure-borne acoustic emissions take place in a contactless manner. Contactless measurement is to be understood as a measurement in which there is no or no direct contact between the measuring device, for example the measuring tip, and the fitting or the condensation drain, respectively, during the measurement. By carrying out contactless measurement, on the one hand, the flexibility of the user in acquiring the measurement data is increased, while at the same time it is avoided that the user has to step into the immediate vicinity of the condensation drain, which is preferred with regard to health protection due to high temperatures and accessibility.
[0009] According to a preferred embodiment, the ambient noise acoustic emission is detected at a first distance from the measuring point, and the structure-borne sound emission is detected at a second distance from the measuring point, wherein the second distance is smaller than the first distance. The first distance from the measuring point is preferably 10 cm to 30 cm, in particular 20 cm. The second distance from the measuring point is 1 cm to 10 cm, in particular 5 cm. Therefore, in other words, preferably, the measurement of the ambient noise acoustic emission for detecting the ambient noise, also referred to as the distribution measurement, is carried out at a distance of 20 cm from the fitting or the condensation drain, in particular. Subsequently, preferably in a second step, at a distance of 5 cm from the condensation drain, in particular, an actual useful signal measurement in the form of structure-borne sound emission is carried out. The spectrum is then determined from the detected measurement signal, and a pattern is thereby determined as a characteristic of the operating state of the fitting.
[0010] According to a preferred embodiment, the method further comprises the following steps: determining a first difference function from a first spectrum of ambient noise acoustic emission and a first spectrum of structure-borne sound emission, determining at least one other difference function from another spectrum of ambient noise acoustic emission and another spectrum of structure-borne sound emission, determining a first characteristic number based on the first difference function, and determining another characteristic number based on another difference function.
[0011] A further development of the invention is that the method has the following steps: determining a first integer of a first difference function, determining at least one further integer of a further difference function, determining a first characteristic number based on the first integer, determining a further characteristic number based on the further integer. In particular, the area formed by the difference function of the frequency spectrum is used in this way for the frequency range. This has proven to be particularly suitable for determining characteristic patterns in order to identify the operating state of a fitting or a condensate drain, respectively.
[0012] Determining the operating state of the condensate drain device based on the characteristic pattern preferably includes at least one of the following operating states: the condensate drain operates normally, and the condensate drain is defective.
[0013] The method is further improved by the following steps: the derived steam loss and / or the amount of condensed water is quantitatively determined based on the characteristic pattern. The operating state of the condensate drainage is determined in this way based on the characteristic pattern, and / or the derived steam loss and / or the amount of condensed water is estimated based on the characteristic pattern. The determination of the amount of condensed water is preferably carried out in a frequency range of 0 kHz to 20 kHz. The determination of the steam loss is preferably carried out in a frequency range of 40 kHz to 70 kHz.
[0014] The method is further improved by providing or detecting the temperature of the condensate drain, in particular the temperature at the measuring point, wherein the operating state and / or the derived steam loss and / or the amount of condensate are determined based on the characteristic pattern and the temperature. When determining the operating state or the steam loss and / or the amount of condensate, the additional consideration of the temperature has proven suitable for increasing the accuracy when determining the operating state or the derived steam loss and / or the amount of condensate.
[0015] A further improvement of the method is that the determination of the operating state and the derived steam loss and / or condensate amount from the characteristic pattern is performed based on machine learning, in particular using pattern recognition. Preferably, a neural network is trained with training data that associates the characteristic pattern with the operating state or the derived steam loss and / or the condensate amount of a condensate drain of a certain type. After the neural network has been trained, the neural network can be used to determine the corresponding operating state or the derived steam loss and / or condensate amount for the corresponding condensate drain type or a group of condensate drains from the characteristic pattern, respectively.
[0016] The invention has been described above with reference to a method. On the other hand, the invention relates to a sensor device for acoustically monitoring a measuring point at a fitting through which a fluid flows, in particular at a condensate drain. With regard to the sensor device, the invention solves the above-mentioned task, wherein the sensor device has a sound sensor, which is configured to sense ambient noise acoustic emissions and structure-borne acoustic emissions emitted by the measuring point in a contactless manner, and a control device, which is connected to the sound sensor to execute data, wherein the control device is configured to execute a method according to one of the above-mentioned exemplary embodiments. The sensor device utilizes the same advantages and preferred embodiments as the method according to the invention. In this respect, reference is made to the above statements, the content of which is included here.
[0017] According to a preferred embodiment, the sound sensor is formed as a broadband microphone, in particular an ultrasonic microphone. Due to the fact that characteristic sound frequencies that allow conclusions to be drawn about the operating state of the condensation drainage are in particular in the ultrasonic range, the sound sensor is preferably formed as an ultrasonic microphone. According to a preferred embodiment, the sensor device is formed as a mobile device. The device can be carried particularly well by the user in this way and can also be used in situations where space is limited.
[0018] According to a preferred embodiment, the sensor device has a display device, in particular a display, which is configured to display the operating state of the fitting and / or the steam loss and / or the amount of condensate. In this way, the operator obtains the desired information about the state of the fitting or the condensate drain directly at the location.
[0019] A further development of the invention is that the sensor device has a light source for illuminating the measuring point or the condensation drain, respectively. The detection capability or the correct positioning of the sensor device at the measuring point of the condensation drain is simplified in this way, respectively, in difficult-to-access and dark locations. According to a preferred embodiment, the sensor device has a distance meter, in particular a laser distance meter. This simplifies and monitors the correct distance of the sensor device to the measuring point for carrying out ambient noise acoustic emission or structure-borne acoustic emission.
[0020] According to a preferred embodiment, the condensation drain or the measuring point, respectively, has a marking, which simplifies the correct execution of the measurement. The marking is preferably formed as a QR code or a barcode, whereby the sensor device has a respective corresponding scanner. For example, the type of condensation drain can be directly associated with the collected measurement values in this way. In addition, the determination of a characteristic pattern or an operating state can be matched directly to the type of condensation drain detected. According to an alternative embodiment, near field communication (NFC) is used to identify the condensation drain device.
[0021] A further development of the sensor device consists in that it has a temperature sensor, in particular an infrared thermometer, wherein the temperature sensor is configured to sense the temperature of the condensate drain, in particular in a contactless manner, and wherein the temperature sensor is connected to the control device to carry data. As mentioned above, in order to increase the measurement accuracy or the determination accuracy of the operating state of the fitting and the steam loss and / or the amount of condensate, respectively, the use of a temperature sensor which also provides contactless measurement has proven to be preferred.
[0022] The control device is preferably connected to a communication interface to carry data. The communication interface is in particular configured to communicate wirelessly with the cloud, the mobile device, or an external network or a computer, respectively, via a wireless network. The measurement data can be transmitted to the corresponding system in real time or with a time delay in this way and in this way are available and visible, for example, in a central device control and monitoring system.
[0023] In a further aspect, the invention relates to a computer program comprising commands which have the effect that a sensor device formed according to one of the above exemplary embodiments performs a method according to one of the above exemplary embodiments. In a further aspect, the invention relates to a computer-readable medium on which a computer program according to the above exemplary embodiments is stored. The computer program and the computer-readable medium utilize the same advantages and preferred embodiments as the method according to the invention and the sensor device according to the invention, and vice versa. In this regard, reference is made to the above statements, the content of which is included here. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] The present invention will be described in more detail below based on preferred exemplary embodiments with reference to the accompanying drawings, in which:
[0025] Figure 1 A block diagram of a method according to the present invention is shown;
[0026] Figure 2 A schematic diagram shows a schematic diagram of a sensor device according to the present invention;
[0027] Figure 3a shows exemplary spectra of ambient noise acoustic emissions and structure-borne acoustic emissions;
[0028] Figure 3b Shown by Figure 3a The difference function formed by the spectrum of and the characteristic mode of the difference function;
[0029] Figure 4 An exemplary embodiment of a computer program according to the invention is schematically shown; and
[0030] Figure 5 A schematic diagram of a computer readable medium according to the present invention is shown. DETAILED DESCRIPTION
[0031] Figure 1 A method for acoustically monitoring a fluid flowing through a fitting 2, in particular Figure 2 4 is a block diagram of a method 100 for measuring a point 6 at a condensate drain 4. The method 100 has the following steps: Figure 2 The ambient noise acoustic emission S is detected 102 in the surrounding area of the measuring point 6 shown in FIG. U , detecting 104 the structure-borne sound emission S emitted by the measuring point 6 K , determine 106a environmental noise acoustic emission S U A first spectrum 16a for a first frequency range 26a, which is Figure 3a The method 100 further comprises the following step: determining 106b the ambient noise acoustic emission S of at least one further frequency range 26b U of at least one further spectrum 16b, determining 108a the structure-borne sound emission S in the first frequency range 26a K of the first spectrum 18a, and determining 108b at least one further frequency range 26b of the structure-borne sound emission S K at least one further spectrum 18b.
[0032] In method step 110a, the ambient noise acoustic emission S U The first spectrum 16a and the structure-borne sound emission S K The first frequency spectrum 18a of the first difference function 22a is determined. In addition, the ambient noise acoustic emission S U Another spectrum 16b and structure-borne sound emission S KAt least one further difference function 22b is determined 110b from the further spectrum 18b of the first differential function 22a. In method step 112a, a first integer I1 is then determined from the first differential function 22a, and in method step 112b, at least one further integer I2 of the further differential function 22b is determined.
[0033] In method steps 114a and 114b, a first characteristic number K1 is then determined based on the first integer I1, and a further characteristic number K2 is determined based on the further integer I2. In method step 116, an operating state B of the condensate drain 4 is determined based on a characteristic pattern 20 formed by the characteristic numbers K1 and K2. In method step 118, the derived steam loss and / or condensate quantity is finally determined quantitatively based on the characteristic pattern 20.
[0034] The operating state B and the derived steam loss and / or condensate volume are preferably determined based on the characteristic pattern 20 and the condensate drain temperature T. In particular, the operating state B and the steam loss and / or condensate volume derived from the characteristic pattern 20 are determined 116 , 118 based on machine learning.
[0035] Figure 2 An exemplary embodiment of a sensor device 1 for acoustically monitoring a measuring point 6 at a fitting 2 through which a fluid flows, in particular at a condensate drain 4, is shown. The sensor device 1 has a sound sensor 8. The sound sensor 8 is configured to sense ambient noise acoustic emissions S in a contactless manner. U The sensor device 1 is also configured to sense structure-borne sound emissions S emitted from the point 6 in a contactless manner. K Furthermore, the sensor device 1 has a control device 12 which is connected to the sound sensor 8 for data transmission, wherein the control device 12 is configured to execute a control according to Figure 1 Method 100.
[0036] The sound sensor 8 is formed as a broadband microphone 10, in particular as an ultrasonic microphone 10. The sensor device 1 is formed as a mobile device. The sensor device 1 also has a display device 14, which is formed as a display 14. The display device 14 is configured to display the operating state B of the accessory 2 and / or the steam loss and / or the amount of condensate. The sensor device 1 also has a temperature sensor 28. The temperature sensor 28 is formed as an infrared thermometer 30. The temperature sensor 28 is configured to sense the temperature T of the condensate drain 4, in particular in a contactless manner. The temperature sensor 28 is connected to the control device 12 for transmitting data. Here, at a first distance d from the measuring point 6 U Environmental noise acoustic emission S U At a second distance d from the measuring point 6 K Structural acoustic emission K The second distance d KLess than the first distance d U The first distance d from the measuring point U Preferably 20 cm. Then at a second distance d from the measuring point 6 K Take a second measurement at a certain position, especially at 5 cm.
[0037] As from Figure 2 As can be seen in FIG, the sound sensor 8 or the ultrasonic microphone 10 is respectively connected to a filter and amplifier 32 in order to carry data. The amplification and filtering of the sound signal determined by the sound sensor is carried out by the filter and amplifier 32. The filter and amplifier 32 are in turn connected to an analog-to-digital converter 34. The conversion of the analog signal into a digital signal, which is then provided to the control device 12, occurs via the analog-to-digital converter 34. The control device 12 is connected to a communication interface 36 in order to transmit data. The communication interface 36 is configured to communicate with a cloud 38, a mobile device 40 and / or a computer 42 via a data network 44.
[0038] Figure 3a An exemplary ambient noise acoustic emission S is shown U Spectrum 16 and structure-borne sound emission S K The spectrum 18 of the ambient noise can be determined for the first frequency range 26A. U The first spectrum 16A and structure-borne sound emission S K The same operation can be performed for another frequency range 26b with spectra 16b and 18b, which are drawn here in an exemplary manner. Figure 3b As shown, a difference function 22a is then formed for the spectra 16a and 18a, whose integer I1 in turn forms the first characteristic number K1. Similarly, a difference function 22b is formed for another frequency range 26b, which is shown in an exemplary manner, whose integer I2 forms another characteristic number K2. The characteristic numbers K1 and K2 form the characteristic pattern 20. Figure 3b , further characteristic numbers Kn are also shown which are formed from integers In and which can have an influence on the characteristic pattern 20 .
[0039] Figure 4 A computer program 200 is shown. The computer program 200 includes commands having the effect of Figure 2 The sensor device 1 is formed to perform according to Figure 1 Method 100. Figure 5 A computer readable medium 300 is shown. Figure 4 The computer program 200 is stored on a computer readable medium 300 .
[0040] Reference numerals list
[0041] 1Sensor device
[0042] 2 Accessories
[0043] 4 Condensate drainage
[0044] 6 measuring points
[0045] 8 Sound Sensor
[0046] 10 Ultrasonic microphone
[0047] 12 Control Devices
[0048] 14Display device / monitor
[0049] 16a The first spectrum of environmental noise acoustic emission
[0050] 16b Another spectrum of environmental noise acoustic emission
[0051] 18a The first spectrum of structure-borne acoustic emission
[0052] 18b Another spectrum of structure-borne acoustic emission
[0053] 20 characteristic modes
[0054] 22 First difference function
[0055] 22 Another difference function
[0056] 26a First frequency range
[0057] 26b Another frequency range
[0058] 28 Temperature Sensor
[0059] 30 Infrared Thermometer
[0060] 32 Filters and Amplifiers
[0061] 34A / D converter
[0062] 36 communication interfaces
[0063] 38 Cloud
[0064] 40Mobile devices
[0065] 42 Computer
[0066] 44Data Network
[0067] 100 Plans
[0068] 102 Detection of environmental noise and acoustic emission
[0069] 104 Detection of structure-borne acoustic emission
[0070] 106a Determine a first spectrum of ambient noise acoustic emission
[0071] 106b Determine another spectrum of environmental noise acoustic emission
[0072] 108a Determine a first spectrum of structure-borne sound emission
[0073] 108b Determine another spectrum of structure-borne sound emission
[0074] 110a Determine the first difference function
[0075] 110b Determine another difference function
[0076] 112a Determine the first integer
[0077] 112a Determine another integer
[0078] 114a Determine the first characteristic number
[0079] 114b Determine another characteristic number
[0080] 116 Determine the operation status
[0081] 118 Determine the amount of exported steam loss and / or condensate
[0082] 200 Computer Programs
[0083] 300 Computer readable medium
[0084] B Accessories working status
[0085] d U Distance from the measurement point for measuring ambient noise acoustic emissions
[0086] d K Distance from the measuring point for measuring structure-borne sound emission
[0087] K1 first characteristic number
[0088] K2 Another characteristic number
[0089] Kn characteristic number
[0090] I1 first integer
[0091] I2 another integer
[0092] ln characteristic integer
[0093] S U Environmental noise acoustic emission
[0094] S K Structure-borne Acoustic Emission
[0095] TCondensation drain temperature
Claims
1. A method (100) for acoustically monitoring a measuring point (6) at a fitting (2) through which a fluid flows, in particular at a condensate drain (4), comprising the following steps: - detecting (102) ambient noise acoustic emissions (S) in the surrounding area of the measuring point (6) U ); - detecting (104) structure-borne sound emissions (S) emitted by the measuring point (6) K ); - determining (106a) a first frequency spectrum (16a) of said ambient noise acoustic emission (SU) for a first frequency range (26a); - determining (106b) said ambient noise acoustic emission (S) for at least one further frequency range (26b) U ) of at least one other spectrum (16b); - determining (108a) the structure-borne sound emission (S) for the first frequency range (26a) K )'s first spectrum (18a); - determining (108b) the structure-borne sound emission (S) for the at least one further frequency range (26b) K ) of at least one other spectrum (18b); - determining (114a) a first characteristic number (K1) from the frequency spectrum (16a, 18a) in the first frequency range (26a); - determining (114b) a further characteristic number (K2) from the further frequency spectrum (16b, 18b) in the further frequency range (26b), wherein the characteristic numbers (K1, K2) form a characteristic pattern (20), - determining (116) an operating state (B) of the condensate drain (4) based on the characteristic pattern (20).
2. The method (100) according to claim 1, in, Detect (102) the environmental noise acoustic emission (S U ) and detecting (104) the structure-borne acoustic emission (S K ) is carried out in a contactless manner.
3. The method (100) according to claim 2, in, At a first distance (d U ) to detect the ambient noise acoustic emission (S U ), and wherein, at a second distance (d K ) to detect the structure-borne acoustic emission (S K ), wherein the second distance (d K ) is less than the first distance (d U ).
4. The method (100) according to claim 3, in, A first distance (d) from the measuring point (6) U ) is 10 cm to 30 cm, especially 20 cm.
5. The method (100) according to claim 3 or 4, in, The second distance (d K ) is 1 cm to 10 cm, especially 5 cm.
6. The method (100) according to one of the preceding claims, The following steps are also included: -According to the environmental noise acoustic emission (S U ) of the first spectrum (16a) and the structure-borne sound emission (S K ), determining (110a) a first difference function (22a) of said first spectrum (18a), -According to the environmental noise acoustic emission (S U ) and the structure-borne sound emission (S K ), determining (110b) at least one further difference function (22b) from said further spectrum (18b), - determining the first characteristic number (K1) based on the first difference function (22a) and determining the further characteristic number (K2) based on the further difference function (22b).
7. The method (100) according to claim 6, The following steps are also included: - determining (112a) a first integer (I1) of said first difference function (22a), - determining (112b) at least one further integer (I2) of said further difference function (22b), - determining the first characteristic number (K1) based on the first integer (I1) and determining the further characteristic number (K2) based on the further integer (I2).
8. The method (100) according to one of the preceding claims, in, An operating state (B) of the condensate drain (4) is determined (116) based on the characteristic pattern (20) to include at least one of the following operating states (B): the condensate drain is operating normally, and the condensate drain is defective.
9. The method (100) according to one of the preceding claims, The following steps are also included: - quantitatively determining (118) the derived steam loss and / or condensate amount based on the characteristic pattern (20).
10. The method (100) according to claim 9, The following steps are also included: - providing or detecting the temperature (T) of the condensate drain (4), in particular the temperature (T) at the measuring point (6), wherein the operating state (B) and / or the derived steam loss and / or the condensate amount are determined based on the characteristic pattern (20) and the temperature (T).
11. The method (100) according to claim 9 or 10, in, Determining (116, 118) the operating state (B) and the derived steam loss and / or condensate amount based on the characteristic pattern (20) is performed based on machine learning.
12. A sensor device (1) for acoustically monitoring a measuring point (6) at a fitting (2) through which a fluid flows, in particular at a condensate drain (4), comprising The acoustic sensor (8) is configured to sense ambient noise acoustic emissions (S U ) and the structure-borne sound emission (S K ), A control device (12) connected to the sound sensor (8) to carry data, wherein the control device (12) is configured to perform the method (100) according to one of claims 1 to 10.
13. The sensor device (1) according to claim 12, in, The sound sensor (8) is designed as a broadband microphone, in particular an ultrasonic microphone (10).
14. The sensor device (1) according to claim 12 or 13, in, The sensor device (1) is designed as a mobile device (28).
15. The sensor device (1) according to one of claims 12 to 14, in, The sensor device (1) has a display device (14), in particular a display (14), which is configured to display an operating state (B) of the accessory (2) and / or the steam loss and / or the amount of condensed water.
16. Sensor device (1) according to one of claims 12 to 15, A temperature sensor (28), in particular an infrared temperature sensor (30), is also provided, wherein: The temperature sensor (28) is configured to sense the temperature (T) of the condensate drain (4), in particular to sense the temperature in a contactless manner, and wherein the temperature sensor (28) is connected to the control device (12) to carry data.
17. A computer program (200) comprising commands having the effect that a sensor device (1) formed according to one of claims 12 to 16 executes a method (100) according to one of claims 1 to 11.
18. A computer readable medium (300) on which is stored the computer program (200) according to claim 17.