CN109186752B - Underwater acoustic signal acquisition, transmission and detection system based on graphic processor - Google Patents
Underwater acoustic signal acquisition, transmission and detection system based on graphic processor Download PDFInfo
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Abstract
The invention relates to an underwater acoustic signal acquisition, transmission and detection system based on a graphic processor, which comprises single or a plurality of underwater acoustic acquisition devices, a signal conditioning module and an AD acquisition module, wherein the transmission module receives the AD acquisition module and an upper computer; a receiving cache in the upper computer receives the data transmitted by the transmission module, sends an interruption request message to the data disassembling and data reassembling module after caching to a certain depth, takes out the received data from the cache after the data disassembling and data reassembling module receives the interruption message, disassembles the data according to a transmission protocol, and then reassembles the data according to the channel sequence of the underwater acoustic acquisition equipment; the underwater acoustic signal data are stored in the disk array after being recombined, and the recombined data are respectively transmitted to corresponding graphic processors according to the channel numbers of the underwater acoustic acquisition equipment; and a filtering and denoising module in the graphic processor respectively performs band-pass filter filtering and spectral subtraction denoising on the received underwater sound data.
Description
Technical Field
The invention relates to the field of underwater acoustic signal processing, in particular to an underwater acoustic signal acquisition, transmission and detection system based on a graphic processor.
Background
The underwater acoustic signal acquisition, transmission and storage device is used for acquiring, transmitting and storing underwater acoustic signals (including underwater natural environment sound, underwater animal sound, underwater machine sound and the like), and extracting and detecting characteristics of target sound in the acoustic signals, and has very important significance for underwater acoustic research. When the underwater acoustic acquisition network is complex, for example, under the conditions of more hydrophones, wider acquisition range and higher acquisition density, large-scale acoustic data can be generated, and huge challenges are brought to acquisition, transmission and storage of underwater acoustic signals. Meanwhile, it is difficult to ensure real-time performance and accuracy when feature extraction and detection are performed on the acoustic signals.
Most of the existing methods for acquiring and processing underwater acoustic signals are to acquire underwater acoustic signals by using an acquisition card or a recorder, then upload the acquired underwater acoustic signals to an upper computer, and then process, detect and analyze the underwater acoustic signals by using a high-performance Central Processing Unit (CPU) in the upper computer. Although this processing method is simple, the central processing unit has a large computational burden. And the high-performance central processing unit is expensive, so that the cost of the detection system is increased. Meanwhile, even if the high-performance central processing unit is used, the computing capacity and computing resources of the high-performance central processing unit are very limited, so that the hydrophone data of a plurality of channels cannot be acquired and transmitted by one upper computer at the same time.
Disclosure of Invention
The invention aims to provide a square detection system which is small in size, high in integration level and strong in expansion capability and can simultaneously complete acquisition, transmission and processing of underwater acoustic signal data of a plurality of channels. The technical scheme is as follows:
an underwater acoustic signal acquisition, transmission and detection system based on a graphic processor comprises
The method comprises the following steps that a single or a plurality of underwater acoustic acquisition devices acquire underwater acoustic signals, convert the underwater acoustic signals into electric signals and transmit the electric signals to a signal conditioning module;
the signal conditioning module receives a signal output by the underwater acoustic acquisition equipment, performs band-pass filtering on the signal, amplifies the signal by using an instrument amplifier, and transmits the conditioned signal to the AD acquisition module;
the AD acquisition module performs A/D conversion on the analog signal output by the conditioning module, converts the analog signal into a corresponding digital signal and then transmits the digital signal to the data transmission module;
the transmission module receives the data information output by the AD acquisition module, frames and packs the acquired underwater acoustic signal data according to a certain transmission protocol, and transmits the framed and packed underwater acoustic signal data to the upper computer;
the receiving buffer memory in the upper computer receives the data transmitted by the transmission module, and sends an interrupt request message to the data disassembling and data reassembling module after the data is buffered to a certain depth,
after the data disassembling and data recombining module receives the interrupt message, the received data is taken out from the buffer, disassembled according to a transmission protocol, and then recombined according to the channel sequence of the underwater acoustic acquisition equipment; the underwater acoustic signal data are stored in the first disk array after being recombined, and simultaneously, the recombined data are respectively transmitted to corresponding graphic processors according to the channel numbers of the underwater acoustic acquisition equipment;
a filtering and denoising module in the graphic processor respectively performs band-pass filter filtering and spectral subtraction denoising on the received underwater sound data, and then transmits the data to an endpoint detection module;
the end point detection module carries out end point detection on the filtered and de-noised data by using a double-threshold end point detection method combining short-time energy and a short-time zero-crossing rate, estimates the starting point and the ending point of a signal, extracts detected effective underwater sound signal data, records detection results such as signal duration, signal starting position and signal ending position and transmits the underwater sound signal data and the corresponding detection results to the underwater sound signal analysis module;
the underwater sound signal time-frequency feature calculation module is used for solving time-frequency feature parameters in the underwater sound signal according to the detection result of the endpoint detection module, wherein the time-frequency feature parameters comprise a Mel frequency cepstrum coefficient, a short-time Fourier transform coefficient, a center frequency and a frequency band range, and transmitting the calculated underwater sound signal time-frequency feature and the endpoint detection result to an underwater sound signal category judgment module in the central processing unit;
an underwater sound signal category judgment module in the central processing unit receives the time-frequency characteristics of the underwater sound signals, performs dimension reduction, normalization and standardization on the underwater sound signals, sends processed time-frequency characteristic data serving as input into a pre-trained back propagation neural network and a support vector machine, and classifies the time-frequency characteristics of the underwater sound signals respectively; sending the time-frequency characteristics of the underwater acoustic signals and the corresponding classification results to the underwater acoustic signal integral sensing module;
the underwater acoustic signal integral sensing module establishes a corresponding mapping relation according to the channel number of the underwater acoustic acquisition equipment and the corresponding time-frequency characteristic parameter, senses the integral information of the characteristics of the underwater acoustic signal and transmits the result to the underwater acoustic signal integral parameter storage and calculation module;
and the underwater acoustic signal integral parameter storage and calculation module is used for solving parameters concerned by the user according to the corresponding mapping relation, including sound types and sound duration, storing the parameters into the second disk array, and sending the calculation result to the display control module.
The invention has the following advantages: (1) through the structure of combining the central processing unit and the graphic processing unit of the computer, the calculation tasks are reasonably distributed, the parallel calculation advantage of the graphic processing unit and the serial processing advantage of the central processing unit are fully exerted, and the calculation capacity of the system is enhanced. (2) By combining the central processing unit and the graphic processor of the computer, a single computer can complete complex calculation tasks without combining and processing a plurality of computers, thereby reducing the system volume and the system cost. (3) By reasonably distributing calculation tasks, a single central processing unit with general performance and a plurality of graphics processors with general performance can work cooperatively to finish the task of extracting the characteristics of the complex underwater sound signal, a high-performance and high-cost central processing unit is not needed, and the defect of high cost of the traditional method is overcome. (4) The system meets the requirement of simultaneous monitoring of multiple users, simplifies a hardware system, reduces the complexity of the hardware system, further effectively reduces the development cost, and improves the integration level and the reliability of the system. The beneficial effects are as follows:
(1) through the combined structure of the central processing unit and the graphic processing unit, the calculation tasks are reasonably distributed, the parallel calculation advantage of the graphic processing unit and the serial processing advantage of the central processing unit are fully exerted, and the calculation capacity of the system is enhanced;
(2) by combining the central processing unit and the graphic processor, a single computer can complete complex calculation tasks, the combined processing of a plurality of computers is not needed, the system volume is reduced, and the system cost is reduced;
(3) by reasonably distributing calculation tasks, a single central processing unit with general performance and a plurality of shape processors with general performance can complete complex tasks by cooperative work, a high-performance and high-cost central processing unit is not needed, and the defect of high cost of the traditional method is overcome;
(4) the system meets the requirement of simultaneous monitoring of multiple users, simplifies a hardware system, reduces the complexity of the hardware system, further effectively reduces the development cost, and improves the integration level and the reliability of the system.
Drawings
FIG. 1 shows the main functional block diagram of the graphics processor based underwater acoustic signal acquisition, transmission and detection system of the present invention.
In fig. 1: 1 is underwater acoustic signal acquisition equipment; 2, an underwater acoustic signal conditioning module; 3, an underwater acoustic signal AD acquisition module; 4, an underwater acoustic signal data transmission module; 5 is a system upper computer; 6, receiving and caching by an upper computer; 7 is a disk array 1; 8 is a central processing unit; 9 is a disk array 2; 10, an integral parameter storage and calculation module of the underwater acoustic signal; 11 is an integral underwater sound signal sensing module; 12 is an underwater sound signal category judgment module; 13 is a data disassembling and data reassembling module; 14 is a graphics processor; 15 is an underwater sound signal time-frequency characteristic calculation module; 16 is an endpoint detection module; 17 is a filtering and denoising module; 18 is a display control module; 19 is a display; 20 is the user terminal.
Detailed Description
The invention mainly solves the technical problems that: (1) the method and the system for controlling a plurality of image processors to rapidly process underwater acoustic signals through a single computer are provided, and the defects that the software system is large in size and high in system cost due to the fact that a central processing unit of the computer in the prior art is insufficient in computing capacity and a plurality of computers need to work simultaneously are overcome; (2) the underwater acoustic signal processing system overcomes the defects of complex hardware system and high system cost in the prior art, and is simple in hardware system and low in system cost; (3) the underwater acoustic signal analysis system overcomes the defects of poor man-machine interaction, poor real-time performance and single system function of the prior art, and has the advantages of good man-machine interaction, strong real-time performance and rich system functions.
The invention is further illustrated with reference to the following figures and examples.
The first step is as follows: and the underwater sound signal time-frequency characteristic calculation module is used for setting related underwater sound signal characteristic calculation parameters and parameter calculation forms by a user through the display and the reality control module according to the self requirements and sending the parameters and the parameter calculation forms to each graphic processor according to a certain command format.
The second step is that: the underwater acoustic acquisition equipment 1 acquires underwater acoustic signals, converts the underwater acoustic signals into electric signals and transmits the electric signals to the signal conditioning module 2.
The third step: the signal conditioning module 2 receives signals output by the underwater acoustic acquisition equipment, performs band-pass filtering on the signals, amplifies the signals by using an instrument amplifier, and transmits the conditioned signals to the AD acquisition module 3.
The fourth step: the AD acquisition module 3 performs A/D conversion on the analog signals output by the conditioning module 2, converts the analog signals into corresponding digital signals and transmits the digital signals to the data transmission module 4.
The fifth step: the transmission module 4 receives the data information output by the AD acquisition module 3, frames and packs the acquired underwater acoustic signal data according to a certain transmission protocol, and transmits the framed and packed underwater acoustic signal data to the upper computer 5.
And a sixth step: the receiving cache 6 in the upper computer 5 receives the data transmitted by the transmission module, and sends an interrupt request message to the data disassembling and data reassembling module 13 after caching to a certain depth.
The seventh step: after receiving the interrupt message, the data disassembly and data reassembly module 13 takes out the received data from the buffer 6, disassembles the data according to the transmission protocol, and then reassembles the data according to the channel sequence of the underwater acoustic acquisition equipment; the underwater acoustic signal data are stored in the disk array 9 after being recombined, and the recombined data are respectively transmitted to the corresponding graphic processors 14 according to the channel numbers of the underwater acoustic acquisition equipment.
Eighth step: a filtering and denoising module 17 in the graphics processor performs band-pass filter filtering and Spectral Subtraction (Spectral Subtraction) denoising on the received underwater acoustic data, and then transmits the data to an endpoint detection module 16.
The ninth step: the endpoint detection module 16 performs endpoint detection on the filtered and denoised data by using a double-threshold endpoint detection method combining short-time energy and a short-time zero-crossing rate, estimates the starting point and the ending point of the signal, extracts the detected effective underwater acoustic signal data, records the detection results of the signal duration, the signal starting position, the signal ending position and the like, and transmits the underwater acoustic signal data and the corresponding detection results to the underwater acoustic signal time-frequency characteristic calculation module 15.
The tenth step: the underwater acoustic signal time-Frequency feature calculation module 15 solves time-Frequency feature parameters in the underwater acoustic signal, including Mel-Frequency cepstral coefficients (MFCCs), short-time fourier transform coefficients, center Frequency and Frequency band ranges, according to the detection result of the endpoint detection module, and transmits the calculated underwater acoustic signal time-Frequency features and the endpoint detection result to the underwater acoustic signal type judgment module 12 in the central processing unit.
The eleventh step: an underwater sound signal type judgment module 12 in the central processing unit receives the time-frequency characteristics of the underwater sound signals, performs dimension reduction, normalization and standardization processing on the underwater sound signals, sends processed time-frequency characteristic data serving as input into a Back Propagation Neural Network (Back Propagation Neural Network) and a support vector Machine (support vector Machine) which are trained in advance, and classifies the time-frequency characteristics of the underwater sound signals respectively; and sends the time-frequency characteristics of the underwater acoustic signals and the corresponding classification results to the integral underwater acoustic signal perception module 11.
The twelfth step: the integral underwater acoustic signal sensing module 11 establishes a corresponding mapping relation according to the channel number of the underwater acoustic acquisition device and the corresponding time-frequency characteristic parameter, senses integral underwater acoustic signal characteristic information and transmits the result to the integral underwater acoustic signal parameter storage and calculation module 10.
The thirteenth step: the underwater acoustic signal overall parameter storage and calculation module 10 finds out the parameters concerned by the user, such as sound type, sound duration and the like, according to the corresponding mapping relation, stores the parameters in the disk array # 1, and sends the calculation result to the display control module 18.
The fourteenth step is that: the display control module 18 will receive the calculation results and present them on the corresponding display 19 in different forms of representation according to the user's needs.
Claims (1)
1. An underwater acoustic signal acquisition, transmission and detection system based on a graphic processor comprises
The method comprises the following steps that a single or a plurality of underwater acoustic acquisition devices acquire underwater acoustic signals, convert the underwater acoustic signals into electric signals and transmit the electric signals to a signal conditioning module;
the signal conditioning module receives a signal output by the underwater acoustic acquisition equipment, performs band-pass filtering on the signal, amplifies the signal by using an instrument amplifier, and transmits the conditioned signal to the AD acquisition module;
the AD acquisition module performs A/D conversion on the analog signal output by the signal conditioning module, converts the analog signal into a corresponding digital signal and then transmits the digital signal to the data transmission module;
the data transmission module receives data information output by the AD acquisition module, frames and packs the acquired underwater acoustic signal data according to a certain transmission protocol, and transmits the data information to the upper computer;
a receiving cache in the upper computer receives the data transmitted by the data transmission module, and sends an interrupt request message to the data disassembling and data reassembling module after the data is cached to a certain depth,
after the data disassembling and data recombining module receives the interrupt message, the received data is taken out from the buffer, disassembled according to a transmission protocol, and then recombined according to the channel sequence of the underwater acoustic acquisition equipment; the underwater acoustic signal data are stored in the first disk array after being recombined, and simultaneously, the recombined data are respectively transmitted to corresponding graphic processors according to the channel numbers of the underwater acoustic acquisition equipment;
a filtering and denoising module in the graphic processor respectively performs band-pass filter filtering and spectral subtraction denoising on the received underwater sound data, and then transmits the data to an endpoint detection module;
the end point detection module carries out end point detection on the filtered and de-noised data by using a double-threshold end point detection method combining short-time energy and a short-time zero-crossing rate, estimates the starting point and the ending point of a signal, extracts detected effective underwater sound signal data, records the detection results of the signal duration, the signal starting position and the signal ending position, and transmits the underwater sound signal data and the corresponding detection results to the underwater sound signal analysis module;
the underwater sound signal time-frequency feature calculation module is used for solving time-frequency feature parameters in the underwater sound signal according to the detection result of the endpoint detection module, wherein the time-frequency feature parameters comprise a Mel frequency cepstrum coefficient, a short-time Fourier transform coefficient, a center frequency and a frequency band range, and transmitting the calculated underwater sound signal time-frequency feature and the endpoint detection result to an underwater sound signal category judgment module in the central processing unit;
an underwater sound signal category judgment module in the central processing unit receives the time-frequency characteristics of the underwater sound signals, performs dimension reduction, normalization and standardization on the underwater sound signals, sends processed time-frequency characteristic data serving as input into a pre-trained back propagation neural network and a support vector machine, and classifies the time-frequency characteristics of the underwater sound signals respectively; sending the time-frequency characteristics of the underwater acoustic signals and the corresponding classification results to the underwater acoustic signal integral sensing module;
the underwater acoustic signal integral sensing module establishes a corresponding mapping relation according to the channel number of the underwater acoustic acquisition equipment and the corresponding time-frequency characteristic parameter, senses the integral information of the characteristics of the underwater acoustic signal and transmits the result to the underwater acoustic signal integral parameter storage and calculation module;
and the underwater acoustic signal integral parameter storage and calculation module is used for solving parameters concerned by the user according to the corresponding mapping relation, including sound types and sound duration, storing the parameters into the second disk array, and sending the calculation result to the display control module.
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| CN113567969B (en) * | 2021-09-23 | 2021-12-17 | 江苏禹治流域管理技术研究院有限公司 | Illegal sand dredger automatic monitoring method and system based on underwater acoustic signals |
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| US4815047A (en) * | 1986-06-20 | 1989-03-21 | Hewlett-Packard Company | Synthetic focus annular array transducer |
| JP3395072B2 (en) * | 1997-02-04 | 2003-04-07 | 沖電気工業株式会社 | Ocean acoustic tomography data analyzer |
| US7133326B2 (en) * | 2004-11-24 | 2006-11-07 | Raytheon Company | Method and system for synthetic aperture sonar |
| CN101388732B (en) * | 2008-10-21 | 2012-09-19 | 北京科技大学 | In-situ test system and method oriented to water sound sensor network |
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