CN112929808A - Method, module and system for detecting whether campus broadcasting equipment can work normally - Google Patents
Method, module and system for detecting whether campus broadcasting equipment can work normally Download PDFInfo
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Abstract
The invention discloses a method, a module and a system for detecting whether campus broadcasting equipment can work normally, wherein the method comprises the following steps: acquiring a mixed audio signal picked up and played by an MIC (microphone) of broadcasting equipment in a network broadcasting system as an input signal; step 2: performing AD conversion on the obtained mixed audio signal to obtain a corresponding digital signal; and step 3: performing corresponding low-pass filtering, band-pass filtering and high-pass filtering on the digital signal in a digital filtering mode, and averaging after multiple measurements to obtain low-frequency signal, intermediate-frequency signal and high-frequency signal data of the input signal; and 4, step 4: and comparing the data of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal with preset values respectively, and judging whether the broadcasting equipment is normal or failed. The system comprises a network broadcast active sound box and inspection software, wherein the network broadcast active sound box is interacted with the inspection software through a network; the network broadcast active sound box comprises a power amplifier module, a loudspeaker, a microphone MIC, a detection module and a network module.
Description
Technical Field
The invention relates to the technical field of campus broadcast equipment, in particular to a method, a module and a system for detecting whether the campus broadcast equipment can normally work.
Background
In campus broadcasting, broadcast equipment is scattered in many. The broadcasting equipment generally consists of three parts of sound source input, power amplifier and loudspeaker. Because the broadcasting equipment works continuously for 7x24 hours, the failure rate of the equipment is high. When the number of broadcasting devices in a campus is large and the devices are distributed, it is difficult to ensure that each broadcasting device works normally. The existing conventional detection methods comprise two methods:
one detection method is to detect whether the power amplifier output is normal. The power amplifier outputs current, drives the loudspeaker to vibrate and make a sound, detects whether the power amplifier outputs the current or not, and can judge whether the broadcasting equipment works normally or not. But when the loudspeaker is damaged, the situation that no sound exists but the power amplifier has output can occur.
Another method of detection is to capture the sound emitted by the broadcast equipment by a Microphone (MIC) placed near the loudspeaker. And inputting high, medium and low frequency audio signals to the broadcasting equipment, then performing Discrete Fourier Transform (DFT) calculation on sound captured by a Microphone (MIC), and judging whether the input audio signals are consistent with the detected signals. Because the crystal oscillator of the detection equipment has certain error, the single frequency point can drift during detection, the error between the calculated value and the theoretical value is larger, and whether the equipment is normal or not is not easy to judge.
Disclosure of Invention
The invention aims to provide a method, a module and a system for detecting whether broadcasting equipment can normally work in campus broadcasting, wherein the method, the module and the system are used for detecting whether the broadcasting equipment can normally work in campus broadcasting. Therefore, the invention considers the detection of different frequencies such as high frequency, intermediate frequency, low frequency and the like of the equipment. Because the single frequency point signal is inaccurately detected by DFT operation in the detection method in the prior art, the invention provides a reliable method for detecting MIC output signals.
The method comprises the steps of adjusting the output of a power amplifier of broadcasting equipment to 100%, inputting high-frequency, low-frequency and intermediate-frequency mixed audio signals into the broadcasting equipment, and then carrying out high-pass, low-pass and band-pass filtering on the audio signals captured by a microphone MIC; averaging after multiple measurements; then the detected signal is compared with a preset value, and whether the broadcasting equipment is normal or not can be judged.
The invention is realized by the following technical scheme:
in a first aspect, the present invention provides a method for detecting whether a campus broadcasting device can work normally, the method includes the following steps:
step 1: acquiring a mixed audio signal picked up and played by an MIC (microphone) of broadcasting equipment in a network broadcasting system as an input signal;
step 2: performing AD conversion on the obtained mixed audio signal to obtain a corresponding digital signal;
and step 3: performing corresponding low-pass filtering, band-pass filtering and high-pass filtering on the digital signal in a digital filtering mode, and averaging after multiple measurements to obtain low-frequency signal, intermediate-frequency signal and high-frequency signal data of the input signal;
and 4, step 4: comparing the obtained low-frequency signal, intermediate-frequency signal and high-frequency signal data with preset values (namely reference values) respectively, and judging whether the values of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal data are normal or reduced, wherein if the values of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal data are normal, the broadcasting equipment is normal; and if at least one value of the data of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal is reduced, the broadcasting equipment is abnormal.
The working principle is as follows: the existing method for detecting whether broadcasting equipment works normally in campus broadcasting has two methods: one detection method is to detect whether the power amplifier output is normal. The power amplifier outputs current, drives the loudspeaker to vibrate and make a sound, detects whether the power amplifier outputs the current or not, and can judge whether the broadcasting equipment works normally or not. But when the loudspeaker is damaged, the situation that no sound exists but the power amplifier has output can occur. Another method of detection is to capture the sound emitted by the broadcast equipment by a Microphone (MIC) placed near the loudspeaker. And inputting high, medium and low frequency audio signals to the broadcasting equipment, then performing Discrete Fourier Transform (DFT) calculation on sound captured by a Microphone (MIC), and judging whether the input audio signals are consistent with the detected signals. Because the crystal oscillator of the detection equipment has certain error, the single frequency point can drift during detection, the error between the calculated value and the theoretical value is larger, and whether the equipment is normal or not is not easy to judge.
The invention detects whether the broadcasting equipment is normal or not through the microphone MIC and completely detects the power amplifier and the loudspeaker part of the broadcasting equipment, and the loudspeaker is divided into full frequency, low frequency, high frequency and the like, so that the responses to audio signals with different frequencies are different. Therefore, the invention considers the detection of different frequencies such as high frequency, intermediate frequency, low frequency and the like of the equipment. Because the single frequency point signal is inaccurately detected by DFT operation in the detection method in the prior art, the invention provides a reliable method for detecting MIC output signals. The method comprises the steps of adjusting the output of a power amplifier of broadcasting equipment to 100%, inputting high-frequency, low-frequency and intermediate-frequency mixed audio signals into the broadcasting equipment, and then carrying out high-pass, low-pass and band-pass filtering on the audio signals captured by a microphone MIC; averaging after multiple measurements; then the detected signal is compared with a preset value, and whether the broadcasting equipment is normal or not can be judged.
The method has reasonable flow, can output sound through MIC detection broadcasting equipment output, and can detect whether the broadcasting equipment works normally or not by judging high-frequency, medium-frequency and low-frequency sounds detected by MIC through a filtering method.
Further, the MIC of the broadcasting equipment in the network broadcasting system is obtained in step 1 to pick up the played mixed audio signal, and the output of the power amplifier of the broadcasting equipment is adjusted to 100% as an input signal.
Further, the digital filtering mode in step 3 is 6-order butterworth filtering.
Further, the broadcasting equipment comprises a full-range loudspeaker and a high pitch loudspeaker.
Furthermore, the detection method is applied to the campus network broadcasting environment.
In a second aspect, the present invention also provides an equipment module, including:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to perform the method of detecting whether the campus broadcast broadcaster is operating properly.
In a third aspect, the present invention further provides a campus broadcasting device system, including: the system comprises a network broadcast active sound box and patrol software, wherein the network broadcast active sound box is arranged in a campus and interacts with the patrol software through a network, the patrol software sends detection audio data to the network broadcast active sound box, and the network broadcast active sound box returns a detection result to the patrol software;
the network broadcast active sound box comprises a power amplifier module, a loudspeaker, a microphone MIC, a detection module and a network module, wherein the detection module adopts the equipment module; the power amplification module is connected with a loudspeaker, the loudspeaker is connected with a microphone MIC, the microphone MIC is connected with a detection module, and the detection module is connected with routing inspection software through a network module; the inspection software is connected with the power amplification module through the network module;
the network broadcast active sound box is used for decoding the transmitted audio signal and sending the decoded audio signal to the power amplifier module;
the power amplification module is used for receiving detection audio data sent by the routing inspection software and carrying out power amplification on the audio data to obtain a power amplification signal;
the loudspeaker is used for converting the power amplification signal (namely an electric signal) into sound for playing;
the microphone MIC is used for MIC pickup and returning picked sound signals to the retrieval module;
the detection module is used for carrying out normal/abnormal detection on the time-varying sound signals picked up from the microphone MIC and returning detection results to the routing inspection software through the network module;
the routing inspection software is used for playing mixed audio signals of high, low, medium and low frequencies by broadcasting equipment (such as a sound box) to be played and sending detected audio signal data to the power amplification module; and the detection result is stored, and the detection values of the two times are compared when the detection is carried out next time, so that whether the sound box equipment works normally or not is judged.
Further, the network module adopts a local area network transmission technology or an internet transmission technology.
Further, low-frequency, intermediate-frequency and high-frequency signals are respectively input to the same broadcasting equipment, and the data of the high-frequency, intermediate-frequency and low-frequency signals detected and output are basically consistent with the detection results of the mixed audio signals of the input high-frequency, low-frequency and intermediate-frequency signals; the same signal is input to different broadcasting equipment, and the error of the detection result is within 10 percent.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the method comprises the steps of adjusting the output of a power amplifier of broadcasting equipment to 100%, inputting high-frequency, low-frequency and intermediate-frequency mixed audio signals into the broadcasting equipment, and then carrying out high-pass, low-pass and band-pass filtering on the audio signals captured by a microphone MIC; averaging after multiple measurements; then the detected signal is compared with a preset value, and whether the broadcasting equipment is normal or not can be judged.
2. After the network broadcast active sound box is installed, the sound box to be played is played with high, medium and low frequency mixed audio signals through polling software, and the network broadcast active sound box decodes the transmitted audio signals and then sends the decoded audio signals to the power amplification module for playing; the microphone MIC captures an audio signal played by the loudspeaker, and then the audio signal is sent to the detection module for detection; after calculation, the detection result is sent to an audio decoding module, and then the decoding module sends the detection result to routing inspection software of a server; and the inspection software stores the detection result. And when the detection is needed next time, comparing the detection values twice to judge whether the sound box equipment works normally.
3. The method has reasonable flow, the output of the broadcasting equipment can output sound through MIC detection, and the method detects whether the broadcasting equipment works normally or not by judging high-frequency, medium-frequency and low-frequency sounds of the MIC detection through a filtering method; the detection method is suitable for the campus network broadcasting environment, and solves the problems that the error between a calculated value and a theoretical value is large and whether equipment is normal or not is difficult to judge in the existing detection method.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a schematic diagram illustrating a detection flow of a method for detecting whether a campus broadcasting device can work normally according to the present invention.
Fig. 2 is a schematic structural diagram of a campus broadcasting device system according to the present invention.
Fig. 3 is a graph of the amplitude-frequency response of the low-pass filter of the present invention.
Fig. 4 is a graph of the amplitude-frequency response of the bandpass filter of the present invention.
Fig. 5 is a graph of the amplitude-frequency response of the high pass filter of the present invention.
Detailed Description
Hereinafter, the term "comprising" or "may include" used in various embodiments of the present invention indicates the presence of the invented function, operation or element, and does not limit the addition of one or more functions, operations or elements. Furthermore, as used in various embodiments of the present invention, the terms "comprises," "comprising," "includes," "including," "has," "having" and their derivatives are intended to mean that the specified features, numbers, steps, operations, elements, components, or combinations of the foregoing, are only meant to indicate that a particular feature, number, step, operation, element, component, or combination of the foregoing, and should not be construed as first excluding the existence of, or adding to the possibility of, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
In various embodiments of the invention, the expression "or" at least one of a or/and B "includes any or all combinations of the words listed simultaneously. For example, the expression "a or B" or "at least one of a or/and B" may include a, may include B, or may include both a and B.
Expressions (such as "first", "second", and the like) used in various embodiments of the present invention may modify various constituent elements in various embodiments, but may not limit the respective constituent elements. For example, the above description does not limit the order and/or importance of the elements described. The foregoing description is for the purpose of distinguishing one element from another. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of various embodiments of the present invention.
It should be noted that: if it is described that one constituent element is "connected" to another constituent element, the first constituent element may be directly connected to the second constituent element, and a third constituent element may be "connected" between the first constituent element and the second constituent element. In contrast, when one constituent element is "directly connected" to another constituent element, it is understood that there is no third constituent element between the first constituent element and the second constituent element.
The terminology used in the various embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the invention. As used herein, the singular forms are intended to include the plural forms as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
As shown in fig. 1 to 5, a method for detecting whether a campus broadcasting device can work normally according to the present invention, as shown in fig. 1, includes the following steps:
step 1: acquiring a mixed audio signal picked up and played by an MIC (microphone) of broadcasting equipment in a network broadcasting system as an input signal;
step 2: performing AD conversion on the obtained mixed audio signal to obtain a corresponding digital signal;
and step 3: performing corresponding low-pass filtering, band-pass filtering and high-pass filtering on the digital signal in a digital filtering mode, and averaging after multiple measurements to obtain low-frequency signal, intermediate-frequency signal and high-frequency signal data of the input signal; wherein, the low-pass filtering adopts a low-pass filter, the band-pass filtering adopts a band-pass filter, and the high-pass filtering adopts a high-pass filter;
and 4, step 4: comparing the obtained low-frequency signal, intermediate-frequency signal and high-frequency signal data with preset values (namely reference values) respectively, and judging whether the values of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal data are normal or reduced, wherein if the values of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal data are normal, the broadcasting equipment is normal; and if at least one value of the data of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal is reduced, the broadcasting equipment is abnormal.
In this embodiment, the MIC of the broadcasting equipment in the network broadcasting system is obtained in step 1 to pick up the played mixed audio signal, and the output of the power amplifier of the broadcasting equipment is adjusted to 100% to be used as the input signal.
When in implementation: the invention detects whether the broadcasting equipment is normal or not through the microphone MIC and completely detects the power amplifier and the loudspeaker part of the broadcasting equipment, and the loudspeaker is divided into full frequency, low frequency, high frequency and the like, so that the responses to audio signals with different frequencies are different. Therefore, the invention considers the detection of different frequencies such as high frequency, intermediate frequency, low frequency and the like of the equipment. Because the single frequency point signal is inaccurately detected by DFT operation in the detection method in the prior art, the invention provides a reliable method for detecting MIC output signals. The method comprises the steps of adjusting the output of a power amplifier of broadcasting equipment to 100%, inputting high-frequency, low-frequency and intermediate-frequency mixed audio signals into the broadcasting equipment, and then carrying out high-pass, low-pass and band-pass filtering on the audio signals captured by a microphone MIC; averaging after multiple measurements; then the detected signal is compared with a preset value, and whether the broadcasting equipment is normal or not can be judged.
The hardware filtering generally adopts 2-order filtering at most, the non-detection frequency band can be attenuated by-24 dB, and the sound of other frequencies can not be completely filtered, so the invention adopts a digital filtering mode, the digital filtering adopts 6-order butterworth filtering, the non-test frequency band can be attenuated by-60 dB, and the filtering effect is better. And AD sampling is carried out on the audio signal captured by the MIC, then, the butterworth filtering is adopted, the low-pass, band-pass and high-pass filtering is carried out, and then, the average value is obtained after multiple measurements are carried out. Thus, high frequency, intermediate frequency and low frequency signals of the input signal can be obtained.
Fig. 3 is a graph of amplitude-frequency response of the low-pass filter of the present invention, fig. 4 is a graph of amplitude-frequency response of the band-pass filter of the present invention, and fig. 5 is a graph of amplitude-frequency response of the high-pass filter of the present invention. In fig. 3 to 5, Frequency is a signal Frequency, and Magnitude is a signal attenuation amplitude.
The amplitude-frequency response curve of the low-pass filter is shown in fig. 3, and when the signal frequency is more than 0.357KHz, the signal attenuation amplitude is more than-60 dB. At this time, the low frequency signal remains and the medium and high frequency signals are attenuated.
The amplitude-frequency response curve of the high-pass filter is shown in figure 5, and when the signal frequency is less than 4.368KHz, the signal attenuation amplitude is greater than-60 dB. At this time, the high frequency signal remains and the medium and low frequency signals are attenuated.
The amplitude-frequency response curve of the band-pass filter is shown in fig. 4, and when the signal frequency is less than 0.436KHz, or the signal frequency is greater than 2.434KHz, the signal attenuation amplitude is greater than-60 dB. At this time, the intermediate frequency signal remains and the low and high frequency signals are attenuated.
After testing, low-frequency, intermediate-frequency and high-frequency signals are respectively input to the same broadcasting equipment, and the data of the high-frequency, intermediate-frequency and low-frequency signals detected and output are basically consistent with the detection result of the mixed audio signals of the input high-frequency, low-frequency and intermediate-frequency signals.
The same signal is input to different broadcasting devices, and the error of the detection result is within 10% due to MIC device difference or MIC installation difference and the like.
When the broadcasting equipment is composed of a full-range loudspeaker and a high pitch loudspeaker, the high pitch loudspeaker is closed, and the detection result shows that the high-frequency sound is 20% of the normal value, the medium-frequency sound is 70% of the normal value, and the low-frequency sound is 100%. The problem of the tweeter of the equipment can be obviously judged.
The output power of the power amplifier is adjusted to 50%, and the detection output result is 50%. The power amplifier of the equipment can be obviously judged to have problems.
The method has reasonable flow, can output sound through MIC detection broadcasting equipment output, and can detect whether the broadcasting equipment works normally or not by judging high-frequency, medium-frequency and low-frequency sounds detected by MIC through a filtering method. The detection method is suitable for the campus network broadcasting environment, and solves the problems that the error between a calculated value and a theoretical value is large and whether equipment is normal or not is difficult to judge in the existing detection method.
Example 2
As shown in fig. 1 to 5, the present embodiment is different from embodiment 1 in that the present embodiment provides an equipment module including:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, the one or more programs cause the one or more processors to perform a method of detecting whether campus broadcast broadcasting equipment is functioning properly as described in embodiment 1.
The method for detecting whether the campus broadcasting equipment can work normally is executed according to the steps of the method in the embodiment 1. And will not be described in detail herein.
Example 3
As shown in fig. 1 to 5, the present embodiment is different from embodiment 1 in that, the present embodiment provides a campus broadcast broadcasting equipment system, as shown in fig. 2, the system includes: the system comprises a network broadcast active sound box and patrol software, wherein the network broadcast active sound box is arranged in a campus and interacts with the patrol software through a network, the patrol software sends detection audio data to the network broadcast active sound box, and the network broadcast active sound box returns a detection result to the patrol software;
the network broadcast active sound box comprises a power amplifier module, a loudspeaker, a microphone MIC, a detection module and a network module, wherein the detection module adopts the equipment module in the embodiment 2; the power amplification module is connected with a loudspeaker, the loudspeaker is connected with a microphone MIC, the microphone MIC is connected with a detection module, and the detection module is connected with routing inspection software through a network module; the inspection software is connected with the power amplification module through the network module;
the network broadcast active sound box is used for decoding the transmitted audio signal and sending the decoded audio signal to the power amplifier module;
the power amplification module is used for receiving detection audio data sent by the routing inspection software and carrying out power amplification on the audio data to obtain a power amplification signal;
the loudspeaker is used for converting the power amplification signal (namely an electric signal) into sound for playing;
the microphone MIC is used for MIC pickup and returning picked sound signals to the retrieval module;
the detection module is used for carrying out normal/abnormal detection on the time-varying sound signals picked up from the microphone MIC and returning detection results to the routing inspection software through the network module;
the routing inspection software is used for playing mixed audio signals of high, low, medium and low frequencies by broadcasting equipment (such as a sound box) to be played and sending detected audio signal data to the power amplification module; and the detection result is stored, and the detection values of the two times are compared when the detection is carried out next time, so that whether the sound box equipment works normally or not is judged.
Specifically, the network module employs a local area network transmission technology or an internet transmission technology.
Specifically, low-frequency, intermediate-frequency and high-frequency signals are respectively input to the same broadcasting equipment, and the data of the high-frequency, intermediate-frequency and low-frequency signals detected and output are basically consistent with the detection result of the input high-frequency, low-frequency and intermediate-frequency mixed audio signals; the same signal is input to different broadcasting equipment, and the error of the detection result is within 10 percent.
When in implementation: the campus broadcasting equipment system is characterized in that network broadcasting is adopted, namely, sound is transmitted to a network broadcasting active loudspeaker box through a network and is played. The transmission distance is long, and the distribution of the equipment is dispersed. The active speaker is far from the broadcast manager. The broadcast administrator cannot judge whether the remote device can work normally.
A detection module is added in the network broadcast active sound box, so that whether the equipment can work normally or not can be detected at any time. The equipment maintenance is convenient.
After the network broadcast active sound box is installed, the sound box to be played is played with high, medium and low frequency mixed audio signals through polling software, and the network broadcast active sound box decodes the transmitted audio signals and sends the decoded audio signals to the power amplifier module for playing. The microphone MIC captures an audio signal played by the loudspeaker, and then sends the audio signal to the detection module, and the detection module detects the audio signal. And after calculation, the detection result is sent to the audio decoding module, and then the decoding module sends the detection result to the routing inspection software of the server.
And the inspection software stores the detection result. And when the detection is needed next time, comparing the detection values twice to judge whether the sound box equipment works normally.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A method for detecting whether campus broadcasting equipment can work normally is characterized by comprising the following steps:
step 1: acquiring a mixed audio signal picked up and played by an MIC (microphone) of broadcasting equipment in a network broadcasting system as an input signal;
step 2: performing AD conversion on the obtained mixed audio signal to obtain a corresponding digital signal;
and step 3: performing corresponding low-pass filtering, band-pass filtering and high-pass filtering on the digital signal in a digital filtering mode, and averaging after multiple measurements to obtain low-frequency signal, intermediate-frequency signal and high-frequency signal data of the input signal;
and 4, step 4: comparing the obtained low-frequency signal, intermediate-frequency signal and high-frequency signal data with preset values respectively, and judging whether the values of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal data are normal or reduced, wherein if the values of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal data are normal, the broadcasting equipment is normal; and if at least one value of the data of the low-frequency signal, the intermediate-frequency signal and the high-frequency signal is reduced, the broadcasting equipment is abnormal.
2. The method for detecting whether the broadcasting equipment on campus is working normally according to claim 1, wherein the MIC of the broadcasting equipment in the network broadcasting system is obtained in step 1 to pick up the played mixed audio signal, and the output of the power amplifier of the broadcasting equipment is adjusted to 100% as the input signal.
3. The method for detecting whether the campus broadcasting equipment can work normally according to claim 1, wherein the digital filtering manner in step 3 is 6-order butterworth filtering.
4. The method as claimed in claim 1, wherein the broadcasting device includes a full-range speaker and a tweeter.
5. The method as claimed in claim 1, wherein the method is applied to a campus network broadcasting environment.
6. An equipment module, characterized in that the equipment module comprises:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform a method for detecting whether campus broadcast broadcasting equipment is operating properly as recited in any of claims 1-5.
7. A campus broadcast equipment system, comprising: the system comprises a network broadcast active sound box and patrol software, wherein the network broadcast active sound box is arranged in a campus and interacts with the patrol software through a network, the patrol software sends detection audio data to the network broadcast active sound box, and the network broadcast active sound box returns a detection result to the patrol software;
the network broadcast active sound box comprises a power amplifier module, a loudspeaker, a microphone MIC, a detection module and a network module, wherein the detection module adopts the equipment module as claimed in claim 6; the power amplification module is connected with a loudspeaker, the loudspeaker is connected with a microphone MIC, the microphone MIC is connected with a detection module, and the detection module is connected with routing inspection software through a network module; the inspection software is connected with the power amplification module through the network module;
the network broadcast active sound box is used for decoding the transmitted audio signal and sending the decoded audio signal to the power amplifier module;
the power amplification module is used for receiving detection audio data sent by the routing inspection software and carrying out power amplification on the audio data to obtain a power amplification signal;
the loudspeaker is used for converting the power amplification signal into sound to be played;
the microphone MIC is used for MIC pickup and returning picked sound signals to the retrieval module;
the detection module is used for carrying out normal/abnormal detection on the time-varying sound signals picked up from the microphone MIC and returning detection results to the routing inspection software through the network module;
the polling software is used for broadcasting the audio signal mixed by high-low, medium-low and low-frequency to the broadcasting equipment to be broadcasted and sending the detected audio signal data to the power amplification module; and the detection result is stored, and the detection values of the two times are compared when the detection is carried out next time, so that whether the sound box equipment works normally or not is judged.
8. The campus broadcasting equipment system as claimed in claim 7, wherein the network module employs a local area network transmission technology or an internet transmission technology.
9. The campus broadcasting equipment system of claim 7, wherein low frequency, intermediate frequency, and high frequency signals are input to the same broadcasting equipment, respectively, and the data of the high frequency, intermediate frequency, and low frequency signals detected and output are consistent with the detection result of the input high frequency, low frequency, and intermediate frequency mixed audio signals; the same signal is input to different broadcasting equipment, and the error of the detection result is within 10 percent.
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| CN202110167180.2A CN112929808A (en) | 2021-02-05 | 2021-02-05 | Method, module and system for detecting whether campus broadcasting equipment can work normally |
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| CN117792547A (en) * | 2024-02-23 | 2024-03-29 | 杭州图南电子股份有限公司 | Emergency broadcast terminal installation judging method, device, equipment and medium |
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