CN109556829B - Line spectrum identification-based real-time detection method for ocean internal wave acoustics - Google Patents
Line spectrum identification-based real-time detection method for ocean internal wave acoustics Download PDFInfo
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- CN109556829B CN109556829B CN201910091683.9A CN201910091683A CN109556829B CN 109556829 B CN109556829 B CN 109556829B CN 201910091683 A CN201910091683 A CN 201910091683A CN 109556829 B CN109556829 B CN 109556829B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M10/00—Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C13/00—Surveying specially adapted to open water, e.g. sea, lake, river or canal
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H3/00—Measuring characteristics of vibrations by using a detector in a fluid
- G01H3/04—Frequency
Abstract
The invention discloses a line spectrum recognition-based real-time detection method for marine internal wave acoustics, which uses a propeller with set rotating speed as a sound source, uses a standard hydrophone 8301 to passively collect propeller noise, and combines the physical characteristics of marine acoustics based on a propeller line spectrum recognition algorithm to realize real-time detection of marine internal waves. The method comprises the steps of sending propeller noise to a standard hydrophone fixed on the seabed through a propeller with a set rotating speed, carrying out band-pass and low-pass filtering on collected signals to obtain an envelope value, extracting a demon spectrum, completing line spectrum identification, comparing the extracted demon spectrum with the set rotating speed of the propeller, continuously tracking, once abnormal jumping is found, turning to secondary identification, completing real-time detection of internal waves and giving an alarm. The method has simple steps, uses the propeller to replace a sound source, has low cost, is suitable for any water area, and has wide application value.
Description
Technical Field
The invention belongs to the technical field of ocean internal wave monitoring, and particularly relates to a method for realizing ocean internal wave detection and alarm by tracking a known line spectrum in real time in a monitored sea area by using a propeller noise line spectrum identification algorithm.
Background
As an extremely common marine natural phenomenon, the ocean internal wave has extremely serious destructiveness to the utilization and development of marine military activities and marine resources, and is a research hotspot in the marine field at home and abroad at present. In the aspect of military affairs, the changes of ocean isothermal surface and isopycnic surface caused by ocean internal waves can affect the strength, propagation distance and direction of the acoustic signals in the ocean, and the difficulty of underwater communication and target detection is increased. The large-amplitude internal solitary wave can enable the isopycnic surface to rapidly fluctuate, increase the navigation resistance of the submarine, make the elevator difficult to operate, and even cause destructive disasters such as cliff breaking. In the aspect of civil engineering, ocean internal waves can have great influence on offshore oil drilling, exploitation and the like, and the direction of an operation ship can be changed by force in a short time due to the generated strong reciprocating flow. Therefore, it is very urgent and necessary to realize the full autonomous real-time detection of the ocean internal wave in important and sensitive sea areas.
At present, a common ocean internal wave non-acoustic detection instrument at home and abroad mainly comprises an anchor system instrument array, a navigation towing instrument, a neutral floater detection and satellite remote sensing, and the functions of discovering internal waves in advance and early warning cannot be achieved. The linju et al patent (application No. 201110168519.7) uses a method of acoustic signal transceiving separation to realize internal wave detection, but is limited to nonlinear internal waves only and is not suitable for practical application. The scholar et al patent (application No. 201110312123.5) uses phased array sonar for analysis of marine slice acoustic reflection intensity and flow velocity. All the methods have the defects of expensive equipment, complex arrangement, large calculation amount of a processing method and incapability of automatically identifying internal waves in real time.
The Demon spectral line spectrum recognition is used as a classical underwater target detection method, the target recognition is completed through underwater regular mechanical vibration and spectral lines with linear characteristics generated on a spectrogram by a propeller, and the method is widely applied. An expert system for analyzing ship radiation noise INTERSENSOR is developed on the basis of on-line spectrum recognition by J.N.Maksy et al in Canada, a passive sonar classification expert system is developed by Shepard and Gent in England by using a neural network technology, and an expert system for 'EXPLORE' target recognition is developed by Lisover et al in China.
Disclosure of Invention
In view of the above, the invention provides a line spectrum identification-based real-time detection method for ocean internal wave acoustics, which adopts a propeller as a characteristic signal for detecting internal waves, uses a standard hydrophone to receive acoustic signals through a set propeller rotating speed, completes real-time tracking detection of the internal waves according to line spectrum identification, and has the advantages of simple equipment structure, low cost and good detection effect.
The mechanism of the invention is as follows: the propeller is used as a signal source, a constant rotating speed is set, a standard hydrophone 8301 is used for passively collecting sound signals of a monitored sea area in real time, demon spectral line spectrum identification is carried out, the propeller shaft frequency is tracked in real time, when ocean internal waves are generated, the monitored sea area sound channel is abnormal, the propeller shaft frequency is abnormally jumped, and internal wave attack alarm is completed after tracking judgment is carried out.
The detection indexes of the invention are as follows: the distance range of the detectable internal wave is 5 km; the amplitude of the detectable internal wave is greater than 25 m.
The invention relates to a line spectrum identification-based real-time detection method for ocean internal wave acoustics, which comprises the following steps:
(1) the propeller is placed on the ocean platform, and the standard hydrophone 8301 is placed on the sea floor;
(2) the propeller rotates at a constant speed according to a program set rotating speed to generate noise, and the standard hydrophone 8301 passively acquires and monitors sound signals of the sea area in real time to generate
A sequence signal;
(3) using pre-designed bandpass filters respectively
Filtering to obtain data groups data1, data2 and data3, uniformly finishing low-pass filter filtering and envelope taking processing, and performing weighted superposition to obtain a demon spectrum;
(4) respectively carrying out line spectrum extraction on demon spectra through line spectrum separation and line spectrum purification, extracting line spectrum axial frequency by using a greatest common divisor extraction method to obtain axial frequency generated by a propeller, and displaying the result at an upper computer software interface according to time to complete monitoring of the internal wave of the sea area in real time;
(5) if the monitoring sea area has internal waves, the ocean sound channel is changed, the strength and the occurrence time of the shaft frequency generated by the propeller are changed, the shaft frequency is also deviated, and the internal waves are tracked according to a certain time and judged to be the same internal waves, so that the internal wave attack alarm is completed.
Drawings
FIG. 1 is a connection diagram of an ocean internal wave real-time monitoring system based on line spectrum identification;
FIG. 2 is a flow chart of a method for detecting marine wavelet spectra based on line spectra identification;
in the figure, 1 is an antenna, 2 is a water surface buoy, 3 is a bearing composite cable, 4 is a standard hydrophone 8301, 5 is an anchor seat, and 6 is a propeller.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The invention adopts the propeller as a characteristic signal for detecting the internal waves, uses the standard hydrophone to receive the acoustic signal through the set propeller rotating speed, and completes the real-time tracking detection of the internal waves according to line spectrum identification.
The method for detecting the ocean internal waves in real time based on line spectrum identification specifically comprises the following steps:
(1) the propeller 6 is placed on an ocean platform, and the standard hydrophone 83014 is placed on the sea bottom;
(2) the propeller 6 rotates at a constant speed according to the set rotating speed of a program to generate noise, and the standard hydrophone 83014 passively collects and monitors acoustic signals of a sea area in real time to generate sound signals
A sequence signal;
(3) using pre-designed bandpass filters respectively
Filtering to obtain data groups data1, data2 and data3, uniformly finishing low-pass filter filtering and envelope taking processing, and performing weighted superposition to obtain a demon spectrum;
(4) respectively carrying out line spectrum extraction on demon spectra through line spectrum separation and line spectrum purification, extracting line spectrum axial frequency by using a greatest common divisor extraction method to obtain axial frequency generated by the propeller 6, displaying the result at an upper computer software interface according to time, and finishing monitoring sea area internal waves in real time;
(5) if the monitoring sea area has internal waves, the ocean sound channel is changed, the strength and the occurrence time of the shaft frequency generated by the propeller 6 are changed, the shaft frequency is also deviated, and the internal wave attack alarm is completed after the same internal wave is judged according to certain time tracking.
The line spectrum separation, line spectrum purification and greatest common divisor extraction method adopts the existing digital signal processing algorithm.
As shown in fig. 1, the length of the bearing composite cable 3 is determined before the laying, a standard hydrophone 83014 is fixed on the seabed, the propeller 6 is attached to the offshore platform, and the system works as follows:
1. acoustic signals are regularly transmitted to the submerged buoy by the propeller 6 in accordance with the programmed convention, and the standard hydrophones 83014 perform acoustic signal data pick-up by resonating with seawater.
2. Data are transmitted to the water surface buoy 2 through the bearing composite cable 3, the water surface buoy 2 returns the data to the monitoring platform through the iridium communication module and the antenna 1, and the platform performs data processing and analysis.
3. If the internal wave occurs, the platform finishes the early warning of the attack of the internal wave through the method.
Claims (3)
1. A real-time detection method of ocean internal wave acoustics based on line spectrum identification is characterized by comprising the following steps:
(1) the propeller (6) is placed on an ocean platform, and the standard hydrophones 8103 (4) are placed on the sea bottom;
(2) the propeller (6) rotates at a constant speed according to a program set rotating speed to generate noise, and the standard hydrophone 8103 (4) passively collects and monitors acoustic signals of a sea area in real time to generate sound signals
A sequence signal;
(3) using pre-designed bandpass filters respectively
Filtering to obtain data groups data1, data2 and data3, uniformly finishing low-pass filter filtering and envelope taking processing, and performing weighted superposition to obtain a demon spectrum;
(4) respectively carrying out line spectrum extraction on demon spectra through line spectrum separation and line spectrum purification, extracting line spectrum axial frequency by using a greatest common divisor extraction method to obtain axial frequency generated by a propeller (6), displaying the result at an upper computer software interface according to time, and finishing monitoring sea area internal waves in real time;
(5) if the monitoring sea area has internal waves, the ocean sound channel is changed, the strength and the occurrence time of the shaft frequency generated by the propeller (6) are changed, the shaft frequency is also deviated, and the internal wave attack alarm is completed after the same internal wave is judged according to certain time tracking.
2. The method for detecting the marine internal wave acoustics based on line spectrum recognition in real time according to claim 1, wherein the method comprises the following steps: the range of detectable internal wave distances is 5 km.
3. The method for detecting the marine internal wave acoustics based on line spectrum recognition in real time according to claim 1, wherein the method comprises the following steps: the amplitude of the detectable internal wave is greater than 25 m.
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| CN112083428B (en) * | 2020-09-02 | 2023-12-01 | 杭州电子科技大学 | Ocean internal wave early warning and monitoring method based on acoustic vector field processing |
| CN113406006B (en) * | 2021-06-11 | 2022-07-01 | 中国海洋大学 | Method for detecting amplitude of second-mode convex-type internal isolated wave |
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Effective date of registration: 20210112 Address after: Room 7-603a, China artificial intelligence Town, 1818-2 Wenyi West Road, Yuhang street, Yuhang District, Hangzhou, Zhejiang 311100 Patentee after: HANGZHOU HAIXUN TECHNOLOGY Co.,Ltd. Address before: 310018 No. 2 street, Xiasha Higher Education Zone, Hangzhou, Zhejiang Patentee before: HANGZHOU DIANZI University |