WO2023048494A1 - 음향 신호를 이용한 공간 감시 장치의 노이즈 회피 방법 - Google Patents
음향 신호를 이용한 공간 감시 장치의 노이즈 회피 방법 Download PDFInfo
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- 230000005236 sound signal Effects 0.000 title claims abstract description 189
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
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- G01S7/536—Extracting wanted echo signals
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H3/00—Measuring characteristics of vibrations by using a detector in a fluid
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
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- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
- G01S7/539—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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- G08B13/16—Actuation by interference with mechanical vibrations in air or other fluid
- G08B13/1609—Actuation by interference with mechanical vibrations in air or other fluid using active vibration detection systems
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- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
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- G10K15/00—Acoustics not otherwise provided for
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- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
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- G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
- G01S15/02—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems using reflection of acoustic waves
- G01S15/50—Systems of measurement, based on relative movement of the target
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- G01S15/523—Discriminating between fixed and moving objects or between objects moving at different speeds for presence detection
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- G08B13/1654—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems
- G08B13/1672—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems using sonic detecting means, e.g. a microphone operating in the audio frequency range
Definitions
- the present invention relates to a technique for accurately grasping a spatial situation while avoiding noise in a space to be monitored in a space monitoring apparatus that monitors a spatial situation using an acoustic signal.
- CCTVs, IR cameras, vibration detection sensors, gas detection sensors, etc. are applied to detect intrusion of outsiders into the indoor space, occurrence of fire, gas leakage, and the like.
- individual sensing devices are required for each situation such as intrusion, fire, gas, etc., so many sensing devices are required to monitor various indoor space conditions, and accordingly, a lot of cost is consumed to build facilities and power Consumption is also a significant problem.
- a sound field sensor can be used as one of the technologies for grasping a spatial situation based on sound signals.
- the sound field sensor (SOFIS) emits sounds (sound signals) of various frequencies and analyzes changes in the sound field formed in a certain space. It is a device that measures the movement of objects, the flow of air, and the change in temperature within a certain space.
- noise may cause an error in misdetermining that a specific situation that has not actually occurred has occurred in the corresponding space, or an error in not recognizing it may be caused even in an emergency situation.
- Such a recognition error may completely reduce the reliability of the spatial monitoring operation of the sound field sensor. Therefore, in order to detect spatial situations more accurately and with higher reliability, a method for processing noise is required.
- the present invention has been made to solve the problems of the prior art as described above, and solves the problem of an error in grasping the space situation when noise generated temporarily or continuously in the space to be monitored is mixed with the sound signal and received. want to do
- An embodiment of a noise avoidance method of a space monitoring apparatus includes a sound signal emitting step of emitting a sound signal to a target space; a sound signal reception step of receiving a sound signal of the target space; A noise evaluation step of determining a noise section of the received acoustic signal; and a context determination section extraction step of extracting a section excluding the noise section from the received sound signal as a context determination section.
- an acoustic signal corresponding to a frequency of a specific section may be selectively received using an appropriate frequency filter, or acoustic signals having different frequency bands may be discriminated and received.
- the received acoustic signal is divided into a plurality of previously set determination sections to evaluate noise, and in the situation determination section extraction step, there is no noise or relatively little noise among the plurality of determination sections. It is possible to extract a section determined as a situation determination section.
- noise of the received acoustic signal may be evaluated by comparing the received acoustic signal with a specific reference signal.
- noise may be evaluated by comparing the envelope of the received acoustic signal with the envelope of the reference signal.
- the received acoustic signal received on the time domain is converted into a spectrum on the frequency domain through Fourier transform or fast Fourier transform, and noise may be evaluated based on the spectrum of the received acoustic signal.
- noise of the received sound signal may be evaluated by determining reception strength of frequency components other than the frequency of the emitted sound signal among the received sound signals.
- the sound signal emitting step may periodically emit a sound signal
- the sound signal receiving step may include an active time period in which the sound signal is emitted and an idle time period in which the sound signal is not emitted.
- a sound signal of the target space is received in a section
- the noise evaluation step may evaluate the noise of the received sound signal of the activation time section based on the received sound signal received in the idle time section before and after the activation time section.
- the spatial situation of the target space may be determined using the sound signal received in the extracted situation determination section.
- all of the sound signals received in the extracted situation determination section may be used, or some of them may be used.
- a new context determination section may be created by combining a plurality of extracted context determination sections, and the spatial situation of the target space may be determined using a sound signal of the newly created context determination section.
- the accuracy and reliability of the space monitoring device can be further improved.
- FIG. 1 shows a configuration diagram of an embodiment of a space monitoring device to which the present invention is applied.
- FIG. 2 shows a configuration diagram of an embodiment of a noise avoidance unit in a space monitoring device to which the present invention is applied.
- FIG. 3 shows a flowchart of an embodiment of a method for monitoring a target space through noise avoidance of a space monitoring apparatus according to the present invention.
- Figure 4 shows a flow chart of one embodiment of the process of avoiding noise-containing acoustic signals in the present invention.
- 5 to 9 show an example of dividing a complex sound received acoustic signal into a plurality of judgment sections in the noise avoidance method according to the present invention.
- 10 to 12 show an example of dividing a received acoustic signal of a single sound whose frequency changes with time in a noise avoidance method according to the present invention into a plurality of judgment intervals.
- FIG 13 and 14 show examples of reference signals in the noise avoidance method according to the present invention.
- 15 to 17 show an example of avoiding noise for a received acoustic signal having continuous noise in the noise avoiding method according to the present invention.
- 21 to 23 show an example of avoiding noise by dividing a received sound signal having an activation time section and an idle time section in the noise avoidance method according to the present invention.
- 24 to 26 show an example of generating a situation judgment interval by synthesizing a plurality of judgment intervals extracted through noise evaluation in the noise avoidance method according to the present invention.
- the present invention proposes a method for monitoring a target space of a space monitoring apparatus capable of accurately grasping a spatial situation by avoiding noise in a target space to be monitored.
- a space monitoring apparatus to which the present invention is applied may emit an acoustic signal to a space to be monitored and receive an acoustic signal of the space to be monitored, and determine a spatial situation based on a measured frequency response of the space.
- the frequency response of space referred to in the present invention can be explained as follows.
- an acoustic signal is emitted as an input signal, and then an acoustic signal is received as an output signal. It can be defined as 'frequency response'.
- the frequency response of such a space may be graphically displayed with frequency as the horizontal axis and the sound pressure of the received sound as the vertical axis, and a phase component may be displayed on the vertical axis instead of the sound pressure component.
- the physical situation of the space can be inferred using the frequency response of the space, and furthermore, the change in the physical characteristics of the space can be grasped using the changing pattern of the frequency response of the space. can It is possible to determine the spatial situation occurring in the target space by grasping the change in the physical characteristics of the space.
- the space monitoring device to which the present invention is applied can determine the spatial situation based on the frequency response of the space described above.
- the space monitoring device detects noise in the space to be monitored. Reliability may deteriorate.
- acoustic signals emitted from other space monitoring devices may act as noise to a specific space monitoring device. In this way, a plurality of space sensing devices arranged to closely monitor a space to be monitored may cause deterioration in monitoring performance.
- the present invention intends to further increase the accuracy and reliability of the space monitoring device by suggesting a method for grasping the spatial situation of the space to be monitored by avoiding noise in the space to be monitored.
- FIG. 1 shows a configuration diagram of an embodiment of a space monitoring device to which the present invention is applied.
- the space monitoring device 100 to which the present invention is applied includes a sound signal emitting unit 110, a sound signal receiving unit 130, a sound signal processing unit 150, a situation determination unit 170, a noise avoiding unit 200, and the like. can include
- the sound signal emitter 110 may include a speaker 111 and the like to emit a sound signal to a target space.
- the sound signal emitter 110 may emit a single sound signal whose frequency changes with time, a compound sound signal having a plurality of frequency components, or a plurality of sound signals whose frequency changes with time.
- An acoustic signal of a compound sound having a frequency component may be emitted, or an acoustic signal in which a single sound and a compound sound are alternated may be emitted.
- the sound signal emitter 110 may emit sound signals through one speaker or through a plurality of speakers. When sound signals are emitted through a plurality of speakers, the same sound signal or different sound signals may be emitted.
- the sound signal receiving unit 130 may receive a sound signal on the target space by including a microphone 131 or the like.
- the sound signal receiving unit 130 may receive sound signals through one microphone or through a plurality of microphones.
- the sound signal receiver 130 may be disposed at the same location as the sound signal emitter 110 as a single device or may be disposed at a different location apart from the sound signal emitter 110 .
- the sound signal processor 150 may provide the sound signal to be emitted to the target space to the sound signal emitter 110 . Also, the sound signal processor 150 may measure a frequency response of a space based on the sound signal received by the sound signal receiver 130 . As an example, the sound signal processor 150 may measure a frequency response of a space by transforming the received sound signal into a frequency domain through a Fourier transform (FT) or fast Fourier transform (FFT).
- FT Fourier transform
- FFT fast Fourier transform
- the context determination unit 170 may determine the context of the target space based on the frequency response of the space.
- the received acoustic signal is also changed accordingly, and the frequency response of the space measured based on the received acoustic signal is also changed. Therefore, by analyzing the pattern in which the frequency response of the space changes over time, it is possible to grasp what kind of situation changes have occurred in the target space.
- the situation determination unit 170 may determine a situation change in the space to be monitored by determining whether the frequency response of the space has changed, the degree of change, and the change pattern.
- the noise avoidance unit 200 may receive the received sound signal from the sound signal receiver 130, determine a noise section, and extract a noise-free section or a relatively low-noise section from the received sound signal as a situation determination section.
- the noise avoidance unit 200 may determine a noise section in the received acoustic signal by comparing the received acoustic signal with a specific reference signal.
- the reference signal may be set to, for example, a sound signal received in a noise-free state.
- the noise avoidance unit 200 may provide the sound signal processing unit 150 with a situation determination section extracted by avoiding noise in the received sound signal.
- noise-free sections or relatively noise-less sections are extracted from the received acoustic signal through the noise avoidance unit 200 and the spatial situation of the target space is determined based on the extracted sections, so that the accuracy and reliability of the space monitoring device is improved. can be improved
- FIG. 2 shows a configuration diagram of an embodiment of the noise avoidance unit of the space monitoring device to which the present invention is applied.
- the noise avoidance unit 200 may include a sound signal pre-processing unit 210, a noise evaluation unit 230, a situation determination section extraction unit 250, and the like.
- the sound signal preprocessor 210 may receive the received sound signal from the sound signal receiver 130 and process the received sound signal to determine a noise section.
- the sound signal pre-processing unit 210 may divide the received sound signal into a plurality of determination sections in order to determine a noise section in the received sound signal.
- the sound signal pre-processing unit 210 may divide the received sound signal into a plurality of determination sections based on the period of the received sound signal. Alternatively, the sound signal pre-processing unit 210 may divide the received sound signal into a plurality of determination sections based on a preset time unit.
- the sound signal emitter 110 periodically emits a sound signal and the sound signal receiver 130 has an active time period in which the sound signal is emitted and an idle time period in which the sound signal is not emitted.
- the sound signal pre-processing unit 210 may divide a plurality of judgment sections by dividing an active time section in which the sound signal is emitted and an idle time section in which the sound signal is not emitted. there is.
- the sound signal pre-processing unit 210 divides and divides the received sound signal received in the time domain into a plurality of decision sections, and transforms each decision section into a spectrum in the frequency domain through Fourier transform or fast Fourier transform. can do.
- the noise evaluator 230 may evaluate the noise level of the received sound signal.
- the noise evaluator 230 may evaluate the noise level of an arbitrary section while scanning the entire received sound signal, or the sound signal pre-processor 210 may evaluate the noise level for a plurality of judgment sections obtained by dividing the received sound signal.
- the noise evaluator 230 may evaluate the noise of the received acoustic signal based on the reference signal for each of a plurality of determination intervals.
- the reference signal may be set to a sound signal received by the sound signal receiver 130 after the sound signal emitter 110 emits a sound signal in a noise-free state, and by comparing the received sound signal with the reference signal A section in which noise is included in the received acoustic signal may be evaluated.
- noise may be evaluated through envelope analysis of the received acoustic signal. For example, noise may be evaluated by detecting an envelope for each of a plurality of determination sections and comparing the shape and size of the detected envelope with the envelope of the reference signal.
- a frequency component other than the frequency component of the emitted acoustic signal appears as a sound pressure of a certain level or higher on the spectrum of the received acoustic signal, it can be evaluated that noise is present.
- the noise can be evaluated by comparing the reference spectrum obtained by converting the reference signal in the frequency domain with the spectrum of the received acoustic signal.
- the noise may be evaluated by measuring reception strength of frequency components other than the frequency of the emitted sound signal using a frequency filter. For example, in a situation where there is no noise at all, sound should not be received in a frequency domain other than the frequency band of the emitted sound signal. If so, it can be regarded as noise.
- the noise when noise of a frequency component different from the frequency of the emitted acoustic signal is measured, the noise includes noise of the same frequency component as the frequency of the emitted acoustic signal, or even if not, We start with the assumption that there is a high probability of causing an error in the process of grasping the situation.
- an appropriate frequency filter is used to separate and receive the emitted frequency and other frequencies, and receive the separated latter frequency component sound.
- a sound signal received in the time domain may be converted into a frequency domain signal through Fourier transform or fast Fourier transform, and then reception strength of a frequency other than the emission frequency may be determined.
- the noise evaluator 230 evaluates noise
- the noise evaluator 230 determines the specific activation time period. Noise for a previous and subsequent idle time interval may be evaluated, and based on this, noise for a specific activation time interval may be evaluated. For example, if noise is evaluated by calculating a noise level for a idle time section before or after a specific activation time section, and the idle time section is evaluated as a noise section, the specific activation time section may be determined as a noise section.
- the noise evaluation process has been described based on the case where the noise evaluation step starts only after the sound signal reception step is completed.
- the noise evaluation step does not necessarily have to be started after the acoustic signal receiving step is completed.
- the noise evaluation step of that section should begin.
- the step of comparing the envelope begins after the reception of the acoustic signal in the specific section is completed.
- the step of receiving a sound signal of a specific section starts at t1 and ends at t2
- the step of evaluating the noise of the specific section starts at t3 and ends at t4.
- the noise evaluation completion time t4 of the specific section must be later than the acoustic signal reception completion time t2 of the specific section.
- the noise evaluation start time t3 of the specific section does not have to be later than the time t2 when the reception of the sound signal is completed. Rather, t3 is an earlier time than t2, and it may be more preferable to be the time right after t1.
- the acoustic signal receiving step and the noise evaluation step may substantially overlap in time. That is, it is natural that the step of receiving the sound signal logically precedes the step of evaluating the noise, but physically, the step of receiving the sound signal and the step of evaluating the noise may be performed almost simultaneously in time. This is logically equivalent to the fact that the sound signal emitting step precedes the sound signal receiving step, but physically the sound signal emitting step and the sound signal receiving step overlap in time.
- the situation determination section extractor 250 may extract a noise-free section or a relatively noise-less section from the received sound signal as a situation determination section based on the noise evaluation result of the noise evaluator 230. .
- the situation determination interval extractor 250 may extract a determination interval having a noise level less than or equal to a reference value as a situation determination interval. there is. Alternatively, the situation determination interval extractor 250 may extract a determination interval having a relatively lowest noise level as a situation determination interval.
- the situation judgment section extracted in this way is qualified to be used as data for determining the situation of the target space. Therefore, in the next step of the situation determination section extraction step, when the spatial situation for the target space is determined using the sound signal received in the extracted situation determination section, all of the acoustic signals received in the extracted situation determination section may be used. may be used, or only some of them may be used.
- the situation determination unit 170 can determine the change in the situation of the space to be monitored based on the situation determination period obtained by excluding the noise period from the received sound signal through the noise avoidance unit 200, the accuracy and Reliability can be improved.
- the present invention a method for monitoring a target space by avoiding a noise section in the space monitoring apparatus 100 described above is proposed.
- the present invention described above is applied to the method for monitoring a target space through noise avoidance according to the present invention Let's take a look at with reference to the embodiment of the space monitoring device 100 together.
- FIG. 3 shows a flowchart of an embodiment of a method for monitoring a target space through noise avoidance of a space monitoring apparatus according to the present invention.
- the space monitoring device 100 may emit a sound signal to the space to be monitored (S110).
- the space monitoring device 100 may emit an acoustic signal of a single sound whose frequency changes with time to the space to be monitored, or may emit an acoustic signal of a complex sound having a plurality of frequency components, and the frequency changes with time.
- An acoustic signal of a complex sound having a plurality of changing frequency components may be emitted, or an acoustic signal of alternating single sounds and complex sounds may be emitted.
- the space monitoring device 100 may receive a sound signal of the space to be monitored (S130).
- the noise avoidance unit 200 of the space monitoring device 100 evaluates the noise of the received acoustic signal (S150) and extracts a noise-free section or a relatively low-noise section from the received acoustic signal as a situation determination section (170).
- the space monitoring apparatus 100 may determine the situation of the space to be monitored based on the situation determination section with less noise (S190).
- the situation determination unit 170 of the space monitoring apparatus 100 may measure a frequency response of the space based on the sound signal in the situation determination section to determine a change in the situation of the space to be monitored.
- FIGS. 3 and 4 illustrate an embodiment in which the noise evaluation step of the section is started only after the sound signal receiving step of the specific section is completed.
- the sound signal preprocessor 210 of the noise avoidance unit 200 may receive and process the received sound signal from the sound signal receiver 130 .
- the sound signal pre-processing unit 210 may classify the received sound signal by section and divide it into a plurality of determination sections (S151).
- the received sound signal in the noise avoidance method according to the present invention shown in FIGS. 5 to 12 Let's look at with reference to an example of dividing into a plurality of judgment intervals.
- the received sound signal 310 as shown in FIG. 5 is received by emitting a sound signal of a complex sound composed of 17 frequencies with a center frequency of 4 KHz and a frequency interval of 4 Hz.
- the sound signal pre-processing unit 210 may divide each section into a plurality of determination sections based on the period of the received sound signal. For example, as shown in FIG. 6, four sections S11 (311), S12 (312), S13 (313), and S14 (314) are determined by dividing them into 0.25 second time units based on the period of the received sound signal 310. It can be divided into segments. The division of the received acoustic signal can be appropriately set to a multiple of the period.
- the sound signal pre-processing unit 210 may divide each section of the received sound signal into a plurality of determination sections by a predetermined time unit. For example, as shown in FIG. 7, the received sound signal 310 may be divided into 0.5 second time units, and two sections S21 (311, 312) and S22 (313, 314) may be divided into determination sections.
- the sound signal pre-processing unit 210 may divide a plurality of judgment sections by dividing them into sections in which a part of the sound signal overlaps. For example, as shown in FIG. 8, the received sound signal 310 is divided into 0.5 second time units, but some sections overlap, so that three sections S23 (311, 312), S24 (312, 313), S25 (313, 314) ) may be divided into judgment intervals. In addition, as shown in FIG. 9, the received sound signal 310 is divided into 0.75 second time units, but some of the sections are overlapped, so that two sections S26 (311, 312, 313) and S27 (312, 313, 314) are used as the judgment section. can also be split.
- the total length of the received acoustic signal and the length of the individual judgment section may be appropriately set as needed.
- the total length of the received acoustic signal may be 5 minutes or 24 hours.
- the sound signal pre-processing unit 210 may classify and divide the received acoustic signal into a plurality of decision sections, and transform each decision section into a spectrum in the frequency domain through Fourier transform or fast Fourier transform.
- the sound signal pre-processing unit 210 divides three sections S31 (411), S32 (412), and S33 (413) into determination sections by dividing them into 0.5 second time units based on the period of the sound signal.
- the sound signal pre-processing unit 210 divides six sections S34 (414), S35 (415), S36 (416), and S37 (417) by 0.25 second time units regardless of the period of the sound signal. , S38 (418), and S39 (419) can be divided into judgment intervals.
- the noise evaluator 230 of the noise avoidance unit 200 In a state in which the sound signal pre-processing unit 210 processes the received acoustic signal as necessary and divides it into a plurality of judgment intervals, the noise evaluator 230 of the noise avoidance unit 200 generates noise for each judgment interval of the received acoustic signal.
- the noise level may be calculated by evaluating the degree (S153).
- the noise evaluator 230 may calculate a noise level by comparing the determination period with the reference signal.
- the reference signal may be set based on the received sound signal received by the sound signal receiver 130 from the sound signal emitted by the sound signal emitter 110 in the absence of noise.
- FIG. 13 shows an example of a reference signal in the noise avoidance method according to the present invention.
- the noise evaluator 230 may compare the reference signal 320 with each determination section to evaluate noise for each determination section.
- the envelope of the reference signal as shown in FIG. 14 may be extracted and set as the reference envelope 325.
- the noise evaluator 230 may compare the reference envelope 325 with the envelope of each determination section to evaluate noise for each determination section.
- the noise evaluator 230 may compare each determination interval with the reference signal 320 or compare the envelope for each determination interval with the reference envelope 325 and calculate the noise level according to the degree of difference. .
- the noise evaluator 230 determines that the frequency components other than the frequency components of the sound signal emitted on the spectrum of the received sound signal are constant.
- the noise level may be calculated by determining whether the sound pressure is higher than the level or not, or the noise level may be calculated by comparing the spectrum of the received sound signal with the reference spectrum obtained by converting the reference signal in the frequency domain.
- the situation determination interval extractor 250 of the noise avoidance unit 200 selects a noise-free interval or a relatively noise-less interval as a situation determination interval in the received sound signal based on the evaluation result of the noise evaluation unit 230. (S155) can be extracted (S170).
- 15 and 16 show an example of avoiding noise for a received acoustic signal having continuous noise in the noise avoiding method according to the present invention.
- the sound signal pre-processing unit 210 converts the received sound signal 330 received for 1 second into a plurality of judgment sections S41 (331), S42 (332), S43 (333) based on a period of 0.25 seconds, It can be divided into S44 (334).
- the noise evaluation unit 230 evaluates the noise based on the reference signal for each of the determination intervals S41 (331), S42 (332), S43 (333), and S44 (334), the determination interval S41 as shown in FIG. 16 It can be evaluated that continuous noise 335 exists in 331, and continuous noise 336 exists throughout the determination period S43 333 and S44 334.
- the noise evaluation for each of the determination intervals S41 (331), S42 (332), S43 (333), and S44 (334) is received in a frequency domain other than the frequency band of the emitted sound signal using a frequency filter. By measuring the intensity of the sound, it is possible to evaluate the noise for each judgment section S41 (331), S42 (332), S43 (333), and S44 (334).
- each determination interval S41 (331), S42 (332) by comparing the reference envelope obtained by extracting the envelope for the reference signal and the envelope of each determination interval S41 (331), S42 (332), S43 (333), and S44 (334) , S43 (333), and S44 (334) noise can be evaluated.
- the received acoustic signal is expressed as a spectrum in the frequency domain by performing a Fourier transform or a fast Fourier transform, and the frequency components other than the frequency components of the sound signal emitted on the spectrum of each determination period Sound pressure of a certain level or more Noise may be evaluated by determining whether it appears as .
- the noise may be evaluated by comparing the reference spectrum obtained by converting the reference signal in the frequency domain with the spectrum of each determination section.
- noise may be evaluated by selectively overlapping and applying the plurality of evaluation methods described above to each determination section.
- the situation determination section extractor 250 may select the determination section S42 (332) having no noise or relatively least noise as the situation determination section.
- the situation determination section extractor 250 may extract S42 (332) from the received acoustic signal 330 as a situation determination section.
- FIGS. 18 to 20 show an example of avoiding noise with respect to a received acoustic signal having temporary noise in the noise avoiding method according to the present invention.
- the sound signal pre-processing unit 210 converts the received sound signal 340 received for 1 second into a plurality of judgment sections S51 (341), S52 (342), S53 (343) based on a period of 0.25 seconds, It can be divided into S54 (344).
- the noise evaluator 230 evaluates the noise for each of the judgment intervals S51 (341), S52 (342), S53 (343), and S54 (344), the judgment interval S51 (341) is temporary as shown in FIG. Noise 345 exists, and it can be evaluated that temporary noise 346 exists in the judgment section S54 343 .
- the method described above with reference to FIG. 8 may be applied to the noise evaluation for each of the determination intervals S51 (341), S52 (342), S53 (343), and S54 (344).
- the situation determination section extractor 250 may select determination sections S52 (342) and S53 (343) having no noise or relatively least noise as the situation determination section. .
- the situation determination section extractor 250 may extract one or both of S52 (342) and S53 (343) from the received acoustic signal 330 as a situation determination section.
- FIGS. 21 to 23 show an example of avoiding noise by dividing a received sound signal having an activation time section and an idle time section in the noise avoidance method according to the present invention.
- the sound signal preprocessor 210 considers the period of the received sound signal and activates the time period S62 ( 352), S64 (354), and S66 (356) and idle time intervals S61 (351), S63 (353), and S65 (355) may be divided into judgment intervals.
- the noise evaluator 230 may extract the idle time intervals, i.e., judgment intervals S61 (351), S63 (353), and S65 (355), and evaluate the noise for them.
- the sound signal emitting unit 110 is a resting time period in which the sound signal is not emitted, the sound signal is not received in this period, or even if the sound signal is received, the size is sufficiently small, or the frequency of the sound signal is If the degree of influencing the spatial situation determination due to the difference in frequency of the emitted acoustic signal is smaller than the standard, it may be evaluated that there is no or small noise as a whole.
- the context determination interval extractor 250 may extract a context determination interval based on the evaluation result of the noise evaluation unit 230.
- the activation time interval is evaluated as a noise interval.
- a time interval can be evaluated as a noise interval. That is, when noise exists in the idle time section before or after the activation time section, it is highly likely that noise exists in the corresponding activation time section, so the corresponding activation time section can be regarded as a noise section.
- the idle time intervals S61 (351) and S63 (353) can be evaluated as having no noise or noise below a certain level, but the idle time interval S65 (355) has noise (357). can be evaluated as present.
- the previous activation time interval S64 (354) of the idle time interval S65 (355) can be regarded as a noise interval, and also the subsequent activation of the idle time interval S65 (355).
- Time interval S66 356 may also be considered a noise time interval.
- the activation time interval S62 (352) can be evaluated as having no noise or noise below a certain level in both the previous idle time interval S61 (351) and the subsequent idle time interval S63 (353). (250) may select the activation time interval S62 (352) as the situation determination interval.
- the situation determination section extractor 250 may extract S62 (352) from the received acoustic signal 350 as a situation determination section.
- FIGS. 15 to 23 The embodiments examined through FIGS. 15 to 23 have been described for the case where the emitted sound signal is a complex sound, and the sound signal emitter 110 emits a sound signal of a single sound whose frequency changes with time. Even in this case, the noise section can be evaluated by applying the noise evaluation method of FIGS. 15 to 23 above.
- Noise can be evaluated by introducing the noise evaluation method described above.
- a judgment period having no or relatively little noise may be extracted as a situation judgment period.
- a plurality of decision intervals having no or relatively little noise are extracted through noise evaluation for a plurality of judgment intervals, and a situation judgment interval synthesized into a new received sound signal can be generated by combining the extracted plurality of determination intervals. In relation to this, it will be described with reference to FIGS. 24 to 26 .
- the received acoustic signal 420 is passed through a plurality of judgment intervals S71 (421) to S76 (426) as described above. It can be separated and divided.
- condition judgment intervals S77 (431, 432) can be generated as the received sound signal 430 as shown in FIG. 26.
- a noise-avoiding sound signal can be obtained by extracting and synthesizing a decision section having no noise or relatively little noise to generate a new situation decision section.
- the total length of the received acoustic signal, the interval of individual judgment intervals, and the number of situation determination intervals extracted from all received acoustic signals may be adjusted as necessary.
- the received sound signal may be scanned as a whole to extract a noise-free interval at an arbitrary interval, and may be set as a situation determination interval.
- the spatial situation of the space to be monitored can be determined by avoiding the noise section in the received acoustic signal, the accuracy and reliability of the space monitoring device can be further increased.
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Abstract
Description
Claims (9)
- 대상 공간으로 음향 신호를 방출하는 음향 신호 방출 단계;상기 대상 공간의 음향 신호를 수신하는 음향 신호 수신 단계;수신 음향 신호의 노이즈 구간을 판단하는 노이즈 평가 단계; 및상기 수신 음향 신호에서 상기 노이즈 구간을 제외한 구간을 상황 판단 구간으로 추출하는 상황 판단 구간 추출 단계를 포함하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 1 항에 있어서,상기 노이즈 평가 단계는,상기 수신 음향 신호를 사전에 설정된 복수의 판단 구간별로 구분하여 노이즈를 평가하며,상기 상황 판단 구간 추출 단계는,복수의 판단 구간 중 노이즈가 없거나 상대적으로 노이즈가 적다고 판단되는 구간을 상황 판단 구간으로 추출하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 1 항에 있어서,상기 노이즈 평가 단계는,수신 음향 신호를 특정한 기준 신호와의 비교를 통하여 상기 수신 음향 신호의 노이즈를 평가하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 1 항에 있어서,상기 노이즈 평가 단계는,방출되는 음향 신호 주파수 이외의 다른 주파수 성분의 수신 강도를 파악하여 상기 수신 음향 신호의 노이즈를 평가하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 1 항에 있어서,상기 음향 신호 방출 단계는,주기적으로 음향 신호를 방출하며,상기 음향 신호 수신 단계는,음향 신호가 방출되는 활성화 시간 구간과 음향 신호가 방출되지 않는 휴지 시간 구간을 포함하는 시간 구간에서 상기 대상 공간의 음향 신호를 수신하며,상기 노이즈 평가 단계는,활성화 시간 구간의 전후 휴지 시간 구간에서 수신된 수신 음향 신호를 기초로 상기 활성화 시간 구간의 수신 음향 신호에 대한 노이즈를 평가하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 1 항에 있어서,상기 노이즈 평가 단계는,상기 수신 음향 신호를 주파수 도메인 상에서의 스펙트럼으로 변환하고 상기 수신 음향 신호의 스펙트럼을 기초로 노이즈를 평가하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 3 항에 있어서,상기 노이즈 평가 단계는,상기 수신 음향 신호에 대한 포락선과 상기 기준 신호에 대한 포락선을 대비하여 노이즈를 평가하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 1 항에 있어서,추출된 상황 판단 구간에서 수신된 음향 신호를 이용하여 상기 대상 공간에 대한 공간 상황을 판단하는 상황 판단 단계를 더 포함하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
- 제 2 항에 있어서,추출된 복수의 상황 판단 구간을 조합하는 상황 판단 구간 조합 단계; 및조합된 상황 판단 구간의 음향 신호를 이용하여 상기 대상 공간에 대한 공간 상황을 판단하는 상황 판단 단계를 더 포함하는 것을 특징으로 하는 공간 감시 장치의 노이즈 회피 방법.
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EP22873198.0A EP4407343A1 (en) | 2021-09-23 | 2022-09-23 | Noise avoidance method of apparatus for spatial monitoring using sound signals |
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