KR102162588B1 - The necklace apparatus for decresing pet's noise - Google Patents

Abstract

The present invention relates to a necklace mechanism for pet noise reduction. The mechanism includes: a harness attached to a pet; a sensor disposed on the harness and detecting an input source including a noise source; a microprocessor connected to the sensor and including a generation unit generating a damped wave corresponding to the noise source; and a speaker connected to the microprocessor and canceling out the noise source by outputting an anti-noise source based on the damped wave. As a result, noise attributable to pet barking or the like can be reduced actively and effectively.

Description

Necklace equipment for pet noise reduction {THE NECKLACE APPARATUS FOR DECRESING PET'S NOISE}

The present invention relates to a pet noise reduction collar mechanism, and more particularly, to a pet noise reduction collar mechanism capable of actively canceling the noise caused by barking of the pet.

Pets have the meaning of being cute and giving people pleasure. However, people gradually keep animals at home to rely on emotionally. Such animals are called companion animals. In modern society, more and more nuclear families are increasing, and more and more people are living alone. Meanwhile, people came to think of animals such as dogs and cats living together as if they were family. As people raise animals in their homes as companions, social problems have arisen, such as noise from animals damaging neighbors.

As a prior art, there is a technique of giving an electric shock to a barking animal. This has not been utilized in an inhumane way. Another technique is gas injection. This method detects the dog's sound and injects gas that the dog dislikes with his face. This has concerns about the harmfulness of gas and inconvenience of gas filling. Finally, there is an ultrasonic output method. In this method, when the dog's sound is detected, ultrasonic waves that the dog dislikes are output from the speaker. This technology has a problem that is not effective when the dog adapts to ultrasound.

Republic of Korea Patent Publication No. 10-2016-0014438

An object of the present invention for solving the above problems is to effectively reduce noise generated by pets without an inhumane method or harmful problem.

The technical problem to be achieved by the present invention is not limited to the technical problems mentioned above, and other technical problems that are not mentioned can be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description. There will be.

The configuration of the present invention for achieving the above object is a harness attached to a pet, a sensor disposed in the harness, and a sensor that detects an input source including a noise source, and is connected to the sensor, and an attenuated wave corresponding to the noise source It characterized in that it comprises a microprocessor including a generating unit for generating a, and a speaker connected to the microprocessor and outputting an anti-noise source based on the attenuated wave to cancel the noise source.

In addition, the generator includes an adaptive filter that generates an attenuated wave based on a noise source, a low pass filter and a power amplifier that processes the attenuation wave and provides it to the speaker, a low pass filter, a power amplifier, and a first error component due to the speaker, The first filter that removes the second error component input to the sensor by the anti-noise source output from the speaker, an error microphone that detects the residual noise signal generated by interference between the noise source and the anti-noise source, and filters the residual noise signal. , A second filter for matching dimensions of the residual noise signal and the attenuated wave, and a third filter for compensating for a time delay caused by the second filter by filtering the noise source.

In addition, the error microphone is disposed in a space separated from the sensor, the microprocessor, and the speaker, and further comprises a wireless communication device for wirelessly providing the residual noise signal sensed by the error microphone to the second filter.

In addition, the microprocessor is characterized in that it further comprises an analysis unit for analyzing frequency characteristics of the input source, and a noise extraction unit for extracting a noise source from the input source based on the frequency characteristics.

In addition, the noise extracting unit is characterized in that it extracts an input source included in a preset frequency characteristic range as a noise source.

Further, the frequency characteristic is characterized by including at least an amplitude and a frequency.

In addition, the microprocessor further includes a hearing correction circuit for calculating a noise level dBA obtained by adding a weight to the input source, and the noise extracting unit extracts an input source included in a preset noise level dBA range as a noise source. It features.

In addition, the preset noise level (dBA) range is characterized in that 60 dBA or more and 90 dBA or less.

In addition, the microprocessor is characterized in that it further comprises a setting unit for setting a frequency characteristic range or a noise level (dBA).

In addition, the sensor is characterized in that it comprises at least one of a microphone and a vibration sensor.

The effect of the present invention according to the configuration as described above can effectively reduce animal noise by effectively extracting and actively canceling noise sources generated by barking and howling of animals.

In addition, the generation unit 310 may increase an effect of canceling a noise source by removing error signals according to a physical system and an electric system.

In addition, the noise level Dba may be calculated by adding a weight to the frequency characteristic of the input source I, and the noise source N may be extracted based on this. As a result, it is possible to selectively extract and offset noise causing stress and pain by reflecting a person's hearing sensation that varies depending on the frequency.

In addition, the setting unit sets the frequency characteristic range (value) and the noise level (dBA) range (value) of the noise source (N) to be canceled in advance, and adjusts the noise source (N) to be canceled according to the animal type and living situation. I can.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

1 is a view schematically showing a pet noise reduction collar mechanism according to an embodiment of the present invention.
FIG. 2 is a circuit diagram schematically showing the configuration of the generator shown in FIG. 1.
3 is a block diagram showing another embodiment of the pet noise reduction collar mechanism and microprocessor shown in FIG. 1.
4 is a block diagram showing a configuration of another embodiment of the microprocessor shown in FIG. 3.
5 is a graph for explaining the auditory sensation correction circuit shown in FIG. 4.
6 is a flowchart illustrating an operation of the noise extracting unit shown in FIG. 3 according to the first embodiment.
7 is a flowchart illustrating an operation of the noise extraction unit shown in FIG. 3 according to the second embodiment.
FIG. 8 is a flow chart for explaining an operation of the noise extraction unit shown in FIG. 3 according to the third embodiment.

Hereinafter, the present invention will be described with reference to the accompanying drawings. However, the present invention may be implemented in a number of different forms, and therefore is not limited to the exemplary embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected (connected, contacted, bonded)" with another part, it is not only "directly connected", but also "indirectly connected" with another member in the middle. "Including the case. In addition, when a part "includes" a certain component, it means that other components may be further provided, rather than excluding other components unless specifically stated to the contrary.

The terms used in this specification are used only to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a view schematically showing a pet noise reduction collar device 10 according to an embodiment of the present invention.

Referring to FIG. 1, a pet noise reduction necklace 10 according to an embodiment of the present invention includes a harness 100 attached to the pet 11 in order to actively reduce the noise of the pet 11 , A sensor 200, a microprocessor 300, and a speaker 400. The harness 100 may be disposed to surround the neck of the pet 11. The sensor 200 is disposed on the harness 100. The sensor 200 detects an input source I including a noise source N. The microprocessor 300 is connected to the sensor 200 and includes a generator 310 that generates an attenuated wave corresponding to the noise source N. The speaker 400 is connected to the microprocessor 300 and cancels the noise source N by outputting the anti-noise source AN based on the attenuated wave.

As an example, the harness 100 may have a strip shape extending to a predetermined length. The harness 100 may be disposed to surround the neck of the pet 11. That is, the harness 100 may have a necklace shape. In another embodiment, the harness 100 may be disposed to surround the upper body including the chest of the pet 11.

The sensor 200 may include at least one of the microphone 210 and the vibration sensor 230. The microphone 210 converts sound waves of sound into electrical signals. The microphone 210 largely includes a dynamic microphone and a condenser microphone. The vibration sensor 230 may detect vibration caused by movement of the vocal cords.

The sensor 200 detects the input source I generated by barking, howling, gasping, and growling of an animal. The input source (I) may be a sound source generated by the animal itself or generated around the animal. That is, the input source I may include sound sources I1, I2, I3, …, IN of various frequency components. The noise source N refers to a sound source of a frequency component that is an object of cancellation (reduction) recognized as noise by humans by the barking of an animal among the input sources I.

The vibration sensor 230 may detect the input source I at least prior to detection of the microphone 210 due to barking of an animal. In addition, the vibration sensor 230 can confirm that the pet 11 directly generates sound (barking, etc.). Therefore, when the vibration sensor 230 and the microphone 210 are disposed together, the noise source N, which is a target of offset due to the barking of the pet 11, can be more accurately extracted. That is, accuracy may be improved by utilizing the input sources I of the vibration sensor 230 and the microphone 210, respectively.

FIG. 2 is a circuit diagram schematically showing the configuration of the generation unit 310 shown in FIG. 1.

1 and 2, the generator 310 generates an attenuated wave Y, an adaptive filter 311, a low pass filter 312, a power amplifier 313, and a first filter 314, An error microphone 315, a second filter 316, and a third filter 317 may be included. The adaptive filter 311 generates an attenuated wave Y based on the noise source N. To this end, the adaptive filter 311 has a specific transfer function (W).

The low pass filter 312 and the power amplifier 313 process the attenuated wave Y and provide it to the speaker 400. The low pass filter 312 removes a high frequency component included in the attenuated wave Y that is an output signal of the adaptive filter 311. Further, the power amplifier 313 amplifies the attenuated wave Y. The error microphone 315 detects the residual noise signal En generated by interference between the noise source N and the anti-noise source AN. The error microphone 315 will be described in more detail later.

The low pass filter 312 and the power amplifier 313 generate first error components A and L in the attenuated wave Y. In addition, the anti-noise source AN output from the speaker 400 may flow into the sensor 200 to generate a second error component F. The first error components (A, L) and the second error component (F) are transfer functions calculated through modeling. Specifically, through modeling, the low pass filter 312 may have a specific transfer function “L”, and the power amplifier 313 may have a specific transfer function “A”. In addition, the acoustic feedback input from the speaker 400 to the sensor 200 may be modeled as a specific transfer function “F”. Meanwhile, “P” in FIG. 2 is a transfer function modeling a physical state in which the noise source N generated from the sound source reaches the speaker 400. In one embodiment, since the speaker 400 is disposed on the neck of the pet, “P” may be ignored. However, the present invention is not limited thereto, and “P” may have a specific transfer function through modeling.

The first filter 314 removes the first error components (A, L) and the second error component (F). Specifically, in order to remove the first error component (A, L) and the second error component (F), the first filter 314 is used to remove the first error component (A, L) and the second error component (F). The value calculated by convolutional integration can be used as a modeled transfer function. That is, the first filter 314 may have a modeled transfer function B of L*A*S*F (“*” is a convolutional integral symbol).

The second filter 316 filters the residual noise signal En in order to match the dimensions of the residual noise signal En and the attenuated wave Y. The second filter 316 includes a first error component (A, L) and a second error component (F), and a third error component (E) according to acoustic feedback from the speaker 400 to the error microphone 310 The inverse model ([L*A*S*E]^(-1)) of the model (L*A*S*E) considering these can be used (C is the modeled transfer function of the second filter 316, C^(-1) is the modeled transfer function of the third filter 317).

The third filter 317 filters the noise source N to compensate for the time delay caused by the second filter 316. The third filter 316 includes a first error component (A, L) and a second error component (F), and a third error component (E) according to acoustic feedback from the speaker 400 to the error microphone 310 A model (L*A*S*E) considering these can be used.

The speaker 400 receives an attenuated wave Y, which is an output signal of the adaptive filter 311, and outputs an anti-noise source AN. The noise source N is canceled and reduced by the anti-noise source AN.

3 is a block diagram showing another embodiment of the pet noise reduction collar mechanism 10 and the microprocessor 300 shown in FIG. 1.

Referring to FIG. 3, the pet noise reduction collar device 10 of the present invention may further include a wireless communication device 500. The error microphone 315 may be disposed in a separate space spaced apart from the sensor 200 and the microprocessor 300. For example, the harness 100 on which the sensor 200 or the like is disposed may be filled around the neck of the pet. Separately, the error microphone 315 may be spaced apart from the pet and disposed in a separate space. In this case, the wireless communication device 500 mediates communication between the error microphone 315 and the microprocessor 300. When the error microphones 315 are separately disposed, the third error component (E) can be minimized. In addition, it is possible to accurately measure the canceling effect of the noise source (N) and the anti-noise source (AN).

Meanwhile, the microprocessor 300 may further include an analysis unit 330 and a noise extraction unit 350. The analysis unit 330 analyzes the frequency characteristics of the input source I. The noise extracting unit 350 extracts the noise source N from the input source I based on the frequency characteristic. The input source (I) may be a sound source generated by the animal itself or generated around the animal. That is, the input source I may include sound sources I1, I2, I3, and IN of various frequency components. The noise source N refers to a sound source of a frequency component that is an object of cancellation (reduction) recognized as noise by humans by the barking of an animal among the input sources I.

The noise source (N) may be caused by barking or howling of animals. That is, the noise source N may have a frequency characteristic corresponding to the barking of an animal. Also, the noise source N may have a frequency characteristic corresponding to howling. Accordingly, the noise source N may be set in advance to have frequency characteristics corresponding to barking and howling of animals. For example, when an animal barks, the noise source N may be set to have at least a specific range of frequencies and a specific range of amplitudes. Of course, the noise source N may be set to have a frequency of a specific value and an amplitude of a specific value.

On the other hand, the noise source (N) may be set in advance to have a number of frequency characteristics (range) according to the type of animal, size (small, medium, large), gender, and sound occurrence situation (bark, howling, etc.) . To this end, the pet noise reduction collar device 10 of the present invention may further include a storage unit (not shown) for storing a plurality of preset frequency characteristic data. Here, the frequency characteristic includes at least amplitude and frequency. In addition, the frequency characteristic may include a phase, a starting point and an ending point of the noise, and the like.

The noise extracting unit 350 extracts the noise source N from the input source I based on the frequency characteristic. As an example, the noise extraction unit 350 may extract an input source I included in a preset frequency characteristic range as a noise source N. Specifically, the input source (I) may have a plurality of frequency components, and a frequency component included in a preset frequency characteristic range (a specific range frequency, a specific range amplitude, etc.) among the plurality of frequency components is used as the noise source (N). Is extracted. Of course, a specific value of the frequency characteristic may be used instead of the frequency characteristic range.

FIG. 4 is a block diagram showing the configuration of another embodiment of the microprocessor 300 shown in FIG. 3, and FIG. 5 is a graph for explaining the auditory sensation correction circuit unit 370 shown in FIG. 4.

4 and 5, the pet noise reduction necklace device 10 of the present invention may further include a hearing correction circuit unit 370.

The animal noise reduction apparatus 10 according to an embodiment of the present invention may further include a hearing correction circuit part 600. The hearing correction circuit unit 370 calculates a noise level dBA by adding a weight to the input source I analyzed by the analysis unit 330. The noise level can be classified into A correction (dBA, blue), B correction (dBB, yellow) and C correction (dBC, red) according to the weight. That is, the noise level dBA here is according to the A correction.

The sensor 200 mechanically measures the sound pressure. That is, the sensor 200 may measure sound having a specific frequency and amplitude. The loudness of the sound increases as the frequency increases. However, humans are more sensitive at a frequency of 1000 Hz, and become dull as the frequency decreases. In other words, the sensitivity that a person can hear varies depending on the frequency. Reflecting this, a noise level (dBA) obtained by adding a weight to the value measured by the sensor 200 for each frequency is calculated. Therefore, by using the noise level dBA, it is possible to extract the noise source N, which is substantially felt to a person as noise.

The noise extracting unit 350 may extract the noise source N using the noise level dBA as another embodiment. That is, the noise extraction unit 350 may extract the input source I included in the preset noise level dBA range as the noise source N. For a description of the setting of the noise level (dBA), refer to the description of the above frequency characteristic setting. For example, in the case of a dog's barking or howling, the noise level (dBA) is measured to be 60 dBA or more and 90 dBA or less. Therefore, in order to extract the noise source (N), the noise level (dBA) may be previously set to 60 dBA or more and 90 dBA or less. The gastric noise level (dBA) is the level of discomfort and pain in a person.

Meanwhile, the pet noise reduction necklace device 10 according to an embodiment of the present invention may further include a setting unit 390. The setting unit 390 may set at least one of a frequency characteristic range (value) and a noise level dBA. For example, the setting unit 390 may set one or more frequency characteristic ranges (values) in advance. In addition, the setting unit 390 may set one or more noise levels dBA in advance. The noise extracting unit 350 may extract the noise source N according to the setting of the setting unit 390.

6 is a flowchart illustrating an operation of the noise extracting unit 350 shown in FIG. 3 according to the first embodiment.

The noise extracting unit 350 may receive frequency characteristics from the analysis unit 330 (S110). The noise extracting unit 350 compares the provided (input) frequency characteristic with a preset frequency characteristic range (value) to determine (S120). In this case, the input sources I included in the preset frequency characteristic range (value) are extracted as the noise source N (S130). The preset frequency characteristic range (input sources I not included in the value are not extracted as noise sources N).

FIG. 7 is a flowchart illustrating an operation of the noise extracting unit 350 shown in FIG. 3 according to the second embodiment.

Referring to FIG. 7, the auditory correction circuit unit 370 may receive frequency characteristics from the analysis unit 330 (S210 ). However, the auditory correction circuit unit 370 may receive frequency characteristics from the analysis unit 330 or the generation unit 310. The hearing correction circuit unit 370 calculates a noise level dBA by adding a weight to the frequency characteristic (S220). The noise extraction unit 350 compares the provided (input) received noise level dBA with a preset noise level dBA range (value) to determine (S230). In this case, the input sources I included in the preset noise level dBA range (value) are extracted as the noise source N (S240). Input sources (I) not included in the preset frequency characteristic range (value) are not extracted as noise sources (N).

8 is a flowchart illustrating an operation of the noise extracting unit 350 shown in FIG. 3 according to the third embodiment.

Referring to FIG. 8, the noise extracting unit 350 and the hearing correction circuit unit 370 may receive frequency characteristics from the analysis unit 330 (S310). The noise extracting unit 350 compares the input frequency characteristic with a preset frequency characteristic range (value) to determine (S320). In addition, the hearing correction circuit unit 370 calculates a noise level dBA by adding a weight to the received frequency characteristic (S330). The noise extracting unit 350 determines the noise level dBA by comparing it with a preset noise level dBA range (value) (S340). The noise extracting unit 350 converts the input sources (I) whose frequency characteristics are included in a preset frequency characteristic range (value) and the noise level (dBA) is included in the preset noise level (dBA) as a noise source (N). Extract. As a result, it is possible to accurately and effectively extract the noise source N, which is the target of cancellation, from the input source I including various frequency components.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that other specific forms can be easily modified without changing the technical spirit or essential features of the present invention will be. Therefore, it should be understood that the embodiments described above are illustrative and non-limiting in all respects. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention.

10: pet noise reduction collar device
11: pet
100: harness
200: sensor
300: microprocessor
310: generation unit
330: analysis unit
350: noise extraction unit
370: hearing correction circuit part
390: setting unit
400: speaker
500: wireless communication unit

Claims (10)

Harness to attach to pets;
A sensor disposed on the harness and detecting an input source including a noise source;
A microprocessor connected to the sensor and including a generator configured to generate an attenuated wave corresponding to the noise source; And
A speaker connected to the microprocessor and outputting an anti-noise source based on the attenuated wave to cancel the noise source,
The generation unit,
An adaptive filter generating the attenuated wave based on the noise source;
A low pass filter and a power amplifier to process the attenuated wave and provide it to the speaker;
A first filter for removing a first error component due to the low pass filter, the power amplifier, and the speaker, and a second error component input to the sensor by the anti-noise source output from the speaker;
An error microphone for detecting a residual noise signal generated by interference between the noise source and the anti-noise source;
A second filter that filters the residual noise signal to match the dimensions of the residual noise signal and the attenuated wave; And
A third filter for filtering the noise source to compensate for a time delay caused by the second filter,
The second filter filters the residual noise signal to match the dimensions of the residual noise signal and the attenuated wave, and the acoustic feedback from the first error component and the second order component and the speaker to the error microphone Using the inverse model of the model taking into account the corresponding third error components,
The third filter uses a model in consideration of the first error component, the second error component, and a third error component according to acoustic feedback from the speaker to the error microphone,
The error microphone is disposed in a space spaced apart from the pet, the sensor, the microprocessor, and the speaker,
Further comprising a wireless communication device for wirelessly providing the residual noise signal sensed by the error microphone to the second filter,
The wireless communication unit mediates communication between the error microphone and the microprocessor,
The error microphone minimizes the third error component and measures a canceling effect between the noise source and the anti-noise source. delete delete The method according to claim 1,
The microprocessor,
An analysis unit for analyzing frequency characteristics of the input source; And
Pet noise reduction collar mechanism further comprising a noise extraction unit for extracting a noise source from the input source based on the frequency characteristics. The method of claim 4,
The noise extraction unit extracts an input source included in a preset frequency characteristic range as a noise source, a pet noise reduction necklace. The method of claim 5,
The frequency characteristic includes at least the amplitude and the frequency of the pet noise reduction collar mechanism. The method of claim 4,
The microprocessor,
Further comprising a hearing correction circuit for calculating a noise level (dBA) obtained by adding a weight to the input source,
The noise extracting unit extracts an input source included in a preset noise level (dBA) range as a noise source, a pet noise reduction collar. The method of claim 7,
A collar device for pet noise reduction with a preset noise level (dBA) of 60 dBA or more and 90 dBA or less. The method according to claim 5 or 7,
The microprocessor,
Pet noise reduction collar mechanism further comprising a setting unit for setting a frequency characteristic range or a noise level (dBA). The method of claim 1,
The sensor is a pet noise reduction necklace device comprising at least one of a microphone and a vibration sensor.

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