Combined system automatic frequency division method and combined system

Through the automatic frequency division method, the combined system is tested, collected and modeled, and the optimal frequency division point is calculated, which solves the problem of manual frequency division taking time and not necessarily optimal, and realizes fast and accurate frequency division processing, which improves system performance.

CN119787985APending Publication Date: 2025-04-08JUDI (SHANGHAI) TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411951284.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

The existing combined systems have problems that manual frequency division takes a long time and is not necessarily optimal during signal frequency division, which affects system performance.

Method used

The automatic frequency division method is adopted to test, collect and model each subsystem in the combined system, establish an impact response model, perform Fourier transform to obtain the frequency response model, calculate the optimal frequency division point, and perform frequency division filtering through a filter with consistent phase to determine the optimal frequency division point.

Benefits of technology

It realizes fast and accurate frequency division of the combined system, saves manpower and time costs, and improves frequency division efficiency and system performance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to a method for automatic frequency division of a combined system and a combined system, wherein the method uses a software frequency division method to establish a frequency division point, establishes a response model by actually collecting test signals of each subsystem in the combined system, performs simulated frequency division processing on each frequency response model after modeling through different frequency division points, compares the obtained test frequency response corresponding to the subsystem with the ideal frequency response in the process of frequency division processing, selects the frequency division point closest to the ideal frequency response after comparison and uses it as the optimal frequency division point, realizes automatic acquisition of the optimal frequency division point, and the combined system performs frequency division processing with the obtained optimal frequency division point. The present application can effectively save labor costs and time costs, and the frequency division efficiency is higher. Based on the optimal frequency division point obtained by the frequency division method of the present application, the combined system can present a better working effect.
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Description

Technical Field

[0001] The present invention relates to the technical field of sound signal equipment, in particular to the technical field of combined systems and processing thereof, and specifically to an automatic frequency division method for combined systems and a combined system. Background Art

[0002] A combined system refers to a system composed of multiple independent components or subsystems that work together to achieve more complex or comprehensive functions, such as a combined radar system, a combined medical detection device, a combined sound system, a combined control system, a combined monitoring system, etc. In order to achieve certain functions during operation, the above combined systems need to perform frequency division and reprocessing on the collected signals or control signals, and the accuracy and reliability of the frequency division processing will greatly affect the working performance of the combined system.

[0003] The defects of the prior art are illustrated by taking the combination speaker in the combination sound system as an example. A speaker is an electroacoustic conversion device, and the speaker can be divided into a full-range speaker and a combination speaker. A full-range speaker generally covers the sound in the low-frequency, medium-frequency and high-frequency ranges through one speaker, but due to the physical characteristics of the speaker, it is often difficult to respond to the components of all frequency ranges, so the effect of the output full-frequency sound is not ideal. The combination speaker can overcome the above defects. The combination speaker generally has two or more speaker units, and each speaker unit is only responsible for one or two frequency bands among the low frequency, medium frequency and high frequency. In this way, through the mutual cooperation of two or more speaker units, the combination speaker can output full-frequency sound, and the sound quality is improved compared to the full-frequency speaker. However, the combination speaker usually needs to accurately divide the frequency of each speaker unit so that the speaker units can cooperate with each other and integrate into one, and the traditional frequency division method is through manual continuous trial, which consumes a lot of manpower and is not necessarily the optimal frequency division scheme.

[0004] Therefore, how to achieve accurate and reliable signal frequency division for use in a combined system is a technical problem that this application aims to solve. Summary of the invention

[0005] A main purpose of the present invention is to overcome at least one of the above-mentioned defects, and to provide a method for automatic frequency division of a combined system, which can realize automatic calculation of the optimal frequency division point of the combined system, save manpower and measurement time, and improve the efficiency of determining the frequency division point.

[0006] Another main purpose of the present invention is to overcome at least one of the above-mentioned defects, and to provide a combined system that performs frequency division based on an accurately calculated optimal frequency division point, so as to achieve better working effect.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is: The present invention provides a combined system automatic frequency division method, which comprises the following working steps: Conduct test collection and modeling on each subsystem in the combined system to obtain the impact response model corresponding to each subsystem; Performing Fourier transformation on each of the impulse response models to obtain a frequency response model; The ideal frequency response of the combined system is calculated by the ideal identity system ; The obtained frequency response models are subjected to frequency division filtering processing. During the frequency division filtering processing, the frequency division point range between two adjacent frequency response models is set, and each frequency division point is traversed at a preset frequency interval to perform frequency division filtering processing on the two adjacent frequency response models to obtain a test frequency response. and , determine the test frequency response , and the ideal frequency response The difference between the two adjacent subsystems is determined, and the frequency division point corresponding to the smallest difference is selected as the optimal frequency division point, and the two adjacent subsystems are divided at the optimal frequency division point.

[0008] According to one of the embodiments of the present invention, in the process of testing, collecting and modeling each subsystem in the combined system, the same measurement signal is sent to each subsystem in the combined system, and then the acoustic signals emitted by each subsystem are collected respectively, and then the impulse response of the electroacoustic conversion of each subsystem is calculated by convolution to construct an impulse response model corresponding to each subsystem.

[0009] According to one embodiment of the present invention, the measurement signal is a full-frequency signal, and the full-frequency signal includes a pulse signal, a noise signal or a swept frequency signal.

[0010] According to one embodiment of the present invention, obtaining the frequency response model from the impulse response model is performed by fast Fourier transform.

[0011] According to one embodiment of the present invention, the two adjacent frequency response models are frequency response models corresponding to two adjacent subsystems, and there is a partial overlap between the frequencies.

[0012] According to one embodiment of the present invention, by calculating the test frequency responses corresponding to two adjacent subsystems , and the ideal frequency response The standard deviation between them is taken, and the frequency division point corresponding to the minimum value of the standard deviation is taken as the optimal frequency division point.

[0013] According to one embodiment of the present invention, the test frequency responses corresponding to two adjacent subsystems are calculated. , and the ideal frequency response The standard deviation between The formula is as follows: in, is the preset frequency interval, is the sampling rate.

[0014] According to one embodiment of the present invention, the two adjacent frequency response models are processed by using filters with consistent phases when performing frequency division filtering.

[0015] In particular, the present invention also provides a combined system, comprising at least two subsystems with similar operating frequencies, wherein the optimal division frequency point between two adjacent subsystems is determined by the method as described above, and the combined system performs frequency division and operates according to the optimal division frequency point.

[0016] According to one embodiment of the present invention, the combined system is one of a combined radar system, a combined medical detection device, a combined sound system, a combined control system, and a combined monitoring system.

[0017] Compared with the prior art, the advantages and beneficial effects of the combined system automatic frequency division method and the combined system of the patent application of the present invention are: The automatic frequency division method of the combined system of the present application uses software frequency division to establish the frequency division point. The test signals of each subsystem in the combined system are collected by actual measurement, so as to establish a response model and realize accurate modeling. Then, each frequency response model after modeling is subjected to several simulation frequency division processes through different frequency division points. In the process of frequency division processing, the test frequency response corresponding to the obtained subsystem is compared with the ideal frequency response. After comparison, the test frequency response closest to the ideal frequency response is selected and the corresponding frequency division point is recorded as the optimal frequency division point, so as to realize automatic acquisition of the optimal frequency division point. Finally, the combined system can perform frequency division processing at the obtained optimal frequency division point. The present application realizes the determination of the optimal frequency division point of the combined system through an automated process, realizes fast and accurate automatic frequency division processing, effectively saves manpower cost and time cost, and has higher frequency division efficiency.

[0018] Furthermore, based on the optimal frequency division point obtained by the frequency division method of the present application, the combined system can present a better working effect, which can effectively improve the user experience, or improve the working stability and reliability of the system or equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings: Figure 1 is a schematic diagram of a processing flow of a combined system automatic frequency division method according to an embodiment of the present invention; Figure 2 is a waveform diagram of a pulse signal used as a full-frequency signal according to an embodiment of the present invention; Figure 3 is a schematic diagram of a frequency response waveform of an identical system according to an embodiment of the present invention; Figure 4 According to one embodiment of the present invention, the frequency response is tested at a frequency division point. , Schematic diagram of frequency response waveform; Figure 5 According to one embodiment of the present invention, the frequency response is tested at the optimal crossover point. , Schematic diagram of the frequency response waveform. DETAILED DESCRIPTION

[0020] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0022] The combined system involved in this application may generally include a combined radar system, a combined medical detection device, a combined sound system, a combined control system, a combined monitoring system, and other system types. Different types of combined systems are introduced as follows: 1. Combined radar system: Definition: The radar system itself is a device that obtains the presence and spatial position of a target by means of radio / electromagnetic waves. A combined radar system may refer to a system that integrates multiple radar technologies (such as pulse radar, phased array radar, etc.) or multiple sensors (such as radar, infrared, optical, etc.).

[0023] Working characteristics: It can provide more comprehensive and accurate target detection and tracking information, and is suitable for complex surveillance and reconnaissance missions. Radar systems usually need to perform frequency analysis on the received signal to identify the existence and location of the target. In some cases, it may be necessary to perform frequency division processing on the received signal in order to extract specific frequency components or perform further signal processing. For example, in a pulse radar, it may be necessary to perform frequency division processing on the received echo signal to separate the reflected signals of targets at different distances.

[0024] 2. Combined medical testing equipment: Definition: Combined medical testing equipment refers to equipment that integrates multiple medical testing functions, such as medical equipment that has multiple testing functions such as electrocardiogram, blood pressure, and blood oxygen saturation.

[0025] Working characteristics: It can reduce the number of examinations and discomfort for patients, and improve the efficiency and accuracy of medical diagnosis. The frequency signal division processing in medical testing equipment depends on the specific testing equipment and application scenarios. For example, an electrocardiogram (ECG) device may need to filter and divide the received bioelectric signal to extract specific frequency components related to heart activity.

[0026] 3. Combined sound system: Definition: In the context of sound systems, modular may refer to a system that integrates multiple sound-producing components or technologies, such as an audio system that includes speakers, microphones, and an audio processing unit.

[0027] Working characteristics: It can provide higher quality sound output and input, and is suitable for occasions that require complex sound processing. In the sound system, frequency division processing is usually used to divide and distribute audio signals. For example, in the speaker system, a two-way or four-way network divides the audio signal into different frequency bands (such as low frequency, medium frequency and high frequency) and sends these frequency bands to the corresponding speaker units. Such frequency division processing helps to improve the sound quality and ensure that the sound of different frequency bands is played by the most suitable speaker.

[0028] 4. Combined control system: Definition: A combined control system may refer to a system that integrates multiple control strategies or methods, such as a system that combines automatic control and manual control, or a control system that integrates multiple sensors and actuators.

[0029] Working characteristics: It can provide a more flexible and reliable control method, suitable for complex industrial or automation systems. Frequency signal division processing in the control system may be used to implement specific control strategies or algorithms. For example, in an automatic control system, it may be necessary to divide the input signal so that different control algorithms or gains can be applied on different frequency bands.

[0030] 5. Combined monitoring system: Definition: A combined monitoring system refers to a system that integrates multiple monitoring methods or technologies, such as a monitoring system that simultaneously monitors multiple parameters such as temperature, humidity, pressure, flow, etc.

[0031] Working characteristics: It can provide more comprehensive and real-time monitoring information, help to find and solve problems in time, and improve the stability and security of the system. Frequency signal division processing in the monitoring system may be used to extract specific monitoring parameters or perform signal processing. For example, in an environmental monitoring system, it may be necessary to divide the received temperature, humidity and other signals to extract specific environmental parameters in different frequency bands.

[0032] In summary, whether the frequency signal in the combined system needs to be processed by frequency division depends on the specific needs and design of the system. In some cases, frequency division is necessary to improve the performance of the system or to achieve specific functions, and accurate, reliable and efficient frequency division is an effective support for the operation of the combined system.

[0033] The embodiment of the present application will take the combined speaker in the combined sound system as an example to illustrate the frequency division process. As for other types of combined systems, the collected signal or control signal can be divided according to this principle and then used for functional work. Please be aware that this will not be further elaborated here.

[0034] Embodiment 1: In this embodiment, the operation of the automatic frequency division method is described in detail by taking a combination speaker, one type of combination system, as an example. The automatic frequency division processing of other combination systems such as headphones, hearing aids, etc. can be deduced by analogy based on the automatic frequency division method in this embodiment.

[0035] A combination speaker (a combination speaker is a type of combination system) generally has two or more speaker units (a speaker unit is a subsystem in a combination system), and each speaker unit is only responsible for one or two frequency bands among low frequency, medium frequency and high frequency. A crossover is usually set in a combination speaker. For a two-way combination speaker, the crossover divides the input signal into a high frequency signal and a low frequency signal (corresponding to the high and low frequencies of the two-way division) according to the set crossover point, so that the divided high frequency signal is sent to the high frequency speaker unit, and the low frequency signal is sent to the low frequency speaker unit; for a three-way combination speaker, the crossover divides the input signal into a high frequency signal, a medium frequency signal and a low frequency signal (corresponding to the high, medium and low frequencies of the two-way division) according to the set crossover point, so that the divided high frequency signal is sent to the high frequency speaker unit, the medium frequency signal is sent to the medium frequency speaker unit, and the low frequency signal is sent to the low frequency speaker unit. Therefore, by setting a reasonable crossover point, it can be ensured that each speaker unit works within its optimal frequency range, thereby obtaining a better sound quality effect. It can be seen that it is particularly important to accurately divide each speaker unit in the combination speaker.

[0036] The crossover point of a combination speaker refers to the intersection of the frequency response curves of two adjacent speaker units (such as a two-way tweeter and bass, or a three-way tweeter, midrange and mid-bass) at a certain frequency. When selecting the crossover point, multiple factors need to be considered, including the nominal impedance of each speaker unit, the power distribution of each speaker unit at the crossover point, and the phase difference of each speaker unit at the crossover frequency. Usually, the crossover point of a two-way combination speaker is selected between 1k~3kHz, while the crossover point of a three-way combination speaker varies depending on the specific design.

[0037] This embodiment describes a method for automatic frequency division of a combined loudspeaker, which includes the following steps: Testing and collecting data of each speaker unit in the combined speaker and modeling the data to obtain an impulse response model corresponding to each speaker unit; Performing Fourier transformation on each of the impulse response models to obtain a frequency response model; The ideal frequency response of the combined loudspeaker is calculated by an ideal identity system ; The obtained frequency response models are subjected to frequency division filtering processing. During the frequency division filtering processing, the frequency division point range between two adjacent frequency response models is set, and each frequency division point is traversed according to a preset frequency interval (fixed step length) to perform frequency division filtering processing on the two adjacent frequency response models to obtain a test frequency response. and , determine the test frequency response , and the ideal frequency response The frequency response model of the two adjacent speaker units is a frequency response model corresponding to the two adjacent speaker units, and there is a partial overlap between the frequencies.

[0038] In one embodiment, in the process of testing, collecting and modeling each speaker unit in the combination speaker, the same measurement signal is sent to each speaker unit in the combination speaker, and then the sound signals emitted by each speaker unit are collected respectively, and then the impulse response of the electroacoustic conversion of each speaker unit is calculated by convolution, and the impulse response model corresponding to each speaker unit is constructed, and then each of the impulse response models is fast Fourier transformed to obtain a frequency response model.

[0039] The measurement signal is a full-frequency signal, which refers to the Nyquist sampling theorem ( ) contains all frequency components under the full-frequency signal. The full-frequency signal is used to better calculate the impulse response of each speaker unit so as to more accurately establish the frequency response model corresponding to each speaker unit. The full-frequency signal can be one of the signals such as impulse signal, noise signal and sweep signal.

[0040] In this embodiment, a pulse signal is taken as an example, and its waveform is as follows: Figure 2 The pulse signal is input to the combined speaker for playback, and then the sound signal of each speaker unit is collected respectively. According to the convolution theorem The result of the convolution of the impulse signal with any system response is the system response itself, so the collected acoustic signal of the impulse signal is the impulse response model of each speaker unit itself. By performing a fast Fourier transform on each impulse response model, the frequency response model of each speaker unit can be obtained.

[0041] After the frequency response model of each speaker unit is established, a crossover filter, that is, a crossover, is applied to the frequency response model of each speaker unit by simulating the processing of the pre-stage crossover. The crossover is implemented using a phase-consistent filter (for example, a Crossover Filter) to ensure that the phases of the low-frequency part, the mid-frequency part, and even the high-frequency part obtained by the crossover are consistent. Therefore, only one crossover point needs to be confirmed between every two adjacent speaker units (for example, for a three-way combination speaker, between the low-frequency speaker unit and the mid-frequency speaker unit, and between the mid-frequency speaker unit and the high-frequency speaker unit) to confirm the crossover work of the crossover.

[0042] Before starting to traverse and calculate the optimal crossover point, you need to design the ideal frequency response as an ideal reference . Ideal frequency response The frequency response waveform of the ideally designed constant system is as follows: Figure 3 As shown in the figure, the identity system is also called an ideal system or a distortion-free system. In signal processing, it is configured as a system that can completely restore the input signal. Such a system does not introduce any new frequency components when processing the signal, nor does it change the amplitude and phase of the original frequency components. Therefore, the identity system is often used as a benchmark or target system in the fields of audio processing and communication to measure the performance of other systems.

[0043] After designing the ideal frequency response Finally, set the crossover point range between two adjacent frequency response models. This crossover point range can be determined according to the operating frequency of the two adjacent speaker units, or according to the crossover point setting range of previous products. For example, the crossover point of a two-way combination speaker is usually selected between 1k~3kHz, so the crossover point range between adjacent frequency response models in this application can be set between 1k~3kHz. Then, according to the preset frequency interval Cycle through each frequency division point to perform frequency division filtering on the two adjacent frequency response models to obtain two test frequency responses corresponding to the two frequency response models, denoted as and Then, by calculating the test frequency response corresponding to two adjacent speaker units , and the ideal frequency response The standard deviation between them is taken, and the frequency division point corresponding to the minimum value of the standard deviation is taken as the optimal frequency division point.

[0044] The preset frequency interval is determined according to the range of the crossover point between two adjacent speaker units. Specifically: The crossover frequency range between two adjacent speaker units is below 1kHz, so the frequency interval Set it to 1‰~1% of the crossover frequency extreme value (1kHz), that is, the frequency interval can be Set between 1Hz~10Hz; The crossover frequency range between two adjacent speaker units is 1kHz~4kHz, so the frequency interval Set it to 1%~5% of the crossover span value (3kHz), that is, the frequency interval can be Set between 30Hz~150Hz; The crossover frequency range between two adjacent speaker units is above 4kHz, so the frequency interval Set it to 1%~5% of the crossover frequency extreme value (4kHz), that is, the frequency interval can be Set between 40Hz~200Hz.

[0045] Calculate the test frequency response of two adjacent speaker units , and the ideal frequency response The standard deviation between The formula is as follows: in, is the preset frequency interval, is the sampling rate.

[0046] In this embodiment, the test frequency response at a frequency division point , The frequency response waveform is as follows Figure 4 As shown, the test frequency response at the optimal crossover point is , The frequency response waveform is as follows Figure 5 As shown. It is not difficult to find that using the automatically calculated optimal crossover point as the parameter of the crossover in the combination speaker to divide the combination speaker can make the speaker unit in the combination speaker have the optimal frequency response and produce the best sound. In addition, automatic crossover can greatly improve efficiency and save labor costs. For example, the time consumption of manual adjustment of the crossover of a three-way combination speaker and the automatic crossover of this application is compared in the following table: In summary, the automatic frequency division method of the combination loudspeaker of this embodiment uses software frequency division to establish the frequency division point, collects the test sound signals of each loudspeaker unit in the combination loudspeaker by actual measurement, thereby establishing a response model and achieving accurate modeling, and then performs several simulation frequency division processes on each frequency response model after modeling through different frequency division points, and obtains the test frequency response corresponding to the loudspeaker unit in the frequency division process. and With ideal frequency response Compare and select the frequency response that is closest to the ideal one. The test frequency response is recorded and the corresponding crossover point is used as the optimal crossover point, so that the optimal crossover point can be automatically obtained. Finally, the combined loudspeaker can perform crossover processing at the obtained optimal crossover point. This application uses an automated process to measure the optimal crossover point of the combined loudspeaker, achieves fast and accurate automatic crossover processing, effectively saves labor costs and time costs, and has higher crossover efficiency.

[0047] Embodiment 2: This embodiment describes a combination speaker, including at least two speaker units with similar operating frequencies, wherein the optimal crossover point between two adjacent speaker units is determined by the method described above, and the combination speaker performs frequency division and operates according to the optimal crossover point.

[0048] Based on the optimal crossover point obtained by the frequency crossover method described in Example 1, the combined speaker can present a better sound effect and effectively improve the user experience.

[0049] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with this technology to understand the contents of the present invention and implement them accordingly. They cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for automatic frequency division of a combined system, characterized in that: The following steps are included: Conduct test collection and modeling on each subsystem in the combined system to obtain the impact response model corresponding to each subsystem; Performing Fourier transformation on each of the impulse response models to obtain a frequency response model; The ideal frequency response of the combined system is calculated by the ideal identity system ; The obtained frequency response models are subjected to frequency division filtering processing. During the frequency division filtering processing, the frequency division point range between two adjacent frequency response models is set, and each frequency division point is traversed at a preset frequency interval to perform frequency division filtering processing on the two adjacent frequency response models to obtain a test frequency response. and , determine the test frequency response , and the ideal frequency response The difference between the two adjacent subsystems is determined, and the frequency division point corresponding to the smallest difference is selected as the optimal frequency division point, and the two adjacent subsystems are divided at the optimal frequency division point.

2. The automatic frequency division method of the combined system according to claim 1, characterized in that: In the process of testing, collecting and modeling each subsystem in the combined system, The method sends the same measurement signal to each subsystem in the combined system, collects the acoustic signals emitted by each subsystem respectively, calculates the impulse response of the electroacoustic conversion of each subsystem by convolution, and constructs an impulse response model corresponding to each subsystem.

3. The automatic frequency division method of the combined system according to claim 2, characterized in that: The measurement signal is a full-frequency signal, and the full-frequency signal includes a pulse signal, a noise signal or a swept frequency signal.

4. The automatic frequency division method of a combined system according to claim 1, characterized in that: Obtaining the frequency response model from the impulse response model is performed by fast Fourier transform.

5. The automatic frequency division method of a combined system according to claim 1, characterized in that: The two adjacent frequency response models are frequency response models corresponding to two adjacent subsystems, and there is a partial overlap between the frequencies.

6. The automatic frequency division method of the combined system according to claim 5, characterized in that: By calculating the test frequency response corresponding to two adjacent subsystems , and the ideal frequency response The standard deviation between them is taken, and the frequency division point corresponding to the minimum value of the standard deviation is taken as the optimal frequency division point.

7. The automatic frequency division method of the combined system according to claim 6, characterized in that: Calculate the test frequency response corresponding to two adjacent subsystems , and the ideal frequency response The standard deviation between The formula is as follows: in, is the preset frequency interval, is the sampling rate.

8. The combined system automatic frequency division method according to claim 1, characterized in that: The two adjacent frequency response models are processed by using filters with consistent phases when performing frequency division filtering.

9. A combined system comprising at least two subsystems with similar operating frequencies, characterized in that: The optimal frequency division point between two adjacent subsystems is determined by the method according to any one of claims 1 to 8, and the combined system performs frequency division and operates according to the optimal frequency division point.

10. The combined system according to claim 9, characterized in that: The combined system is one of a combined radar system, a combined medical detection device, a combined sound system, a combined control system, and a combined monitoring system.