CN111076804A - Deep sea optical fiber sensor - Google Patents
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- CN111076804A CN111076804A CN202010001018.9A CN202010001018A CN111076804A CN 111076804 A CN111076804 A CN 111076804A CN 202010001018 A CN202010001018 A CN 202010001018A CN 111076804 A CN111076804 A CN 111076804A
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- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
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Abstract
The invention belongs to the technical field of optical fiber sensing, in particular to a deep sea optical fiber sensor; the deep sea optical fiber sensor comprises an upper cabin body and a lower cabin body, and the upper cabin body and the lower cabin body are fixedly connected through a connecting assembly; the deep sea optical fiber sensor is characterized in that an outer pressure shell and an inner pressure shell are sequentially arranged from outside to inside, a containing cavity is arranged inside the inner pressure shell, a data processing and storing device and a storage battery are arranged inside the containing cavity, an optical fiber sensing unit is arranged on the outer side of the outer pressure shell, and the optical fiber sensing unit is electrically connected with the data processing and storing device inside the containing cavity through a lead; the deep sea optical fiber sensor has the following advantages: the upper cabin body and the lower cabin body are assembled into a spherical deep sea optical fiber sensor through a connecting assembly, and the spherical shape enables the deep sea optical fiber sensor to be stressed in all directions of a deep sea bottom in a balanced manner, so that a good compression-resistant effect is achieved; and the connecting assembly enables the upper cabin body and the lower cabin body to be firmly connected and not easy to loosen.
Description
Technical Field
The invention relates to the technical field of sensing, in particular to a deep sea optical fiber sensor.
Background
With the increasing maturity of optical fiber sensing technology and optoelectronic technology, optical fiber hydrophones have been developed from laboratory research to engineering applications. At present, the optical fiber hydrophone plays an important role in the detection of military targets such as surface ships, submarines, torpedoes and the like, and the application aspects of underwater physical research, oil exploration, marine fishery and the like, and becomes one of important development directions of modern optical fiber sensing technology and underwater acoustic detection technology.
The optical fiber sensing adopts the basic sensing principle that phase parameters and wavelength parameters of light waves transmitted in a sound wave modulation sensing optical fiber system are utilized, then phase information or wavelength information is demodulated by adopting a corresponding signal processing technology, and then underwater acoustic signals to be measured are obtained. The wavelength parameter information can be converted into a phase parameter through an interferometer for signal demodulation.
In order to make the optical fiber sensor suitable for the ocean environment with larger pressure, the invention provides a deep sea optical fiber sensor.
Disclosure of Invention
The present invention is directed to an optical fiber sensing unit, a deep sea optical fiber sensor and a signal processing method thereof, so as to solve the problems of the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a fiber optic sensing unit, comprising: the laser device comprises a laser device and a photoelectric detector, wherein one end of the laser device is connected with an optical isolator used for light isolation effect, one end of the optical isolator and one end of the photoelectric detector are both optically connected with a coupler, optical power input by the laser device is integrated by the coupler and then divided into two paths according to a ratio, one path of optical power is transmitted to a reference unit, the other path of optical power is transmitted to a sensing unit, and the photoelectric detector receives interference signals of the reference unit and the sensing unit.
A deep sea fiber optic sensor comprising the fiber optic sensing unit, comprising: the upper cabin body and the lower cabin body are fixedly connected and assembled into a complete deep sea optical fiber sensor through a connecting assembly; the deep sea optical fiber sensor is characterized in that an outer pressure shell and an inner pressure shell are sequentially arranged from outside to inside, a buffer cavity is arranged between the outer pressure shell and the inner pressure shell, and an expanding agent is filled in the buffer cavity; the inner pressure shell is internally provided with a containing cavity, a data processing and storing device and storage batteries are arranged in the containing cavity, the storage batteries are arranged on the left side and the right side of the data processing and storing device, and the storage batteries are electrically connected with the data processing and storing device; the communication connector is arranged at the lower end of the deep sea optical fiber sensor using the deep learning algorithm and is electrically connected with the data processing and storing device;
and the outer side of the outer pressure shell is provided with an optical fiber sensing unit which is electrically connected with the data processing and storing device in the accommodating cavity through a lead.
The signal processing method of the deep sea optical fiber sensor is characterized by comprising the following steps: designing a neural network and training the neural network;
the step of designing the neural network comprises the following steps: the number of the input layers is the number of the sensing units, the number of the output layers is three, the three input layers respectively represent sound source coordinates X, Y and Z, and the origin of the coordinates is the center of a sphere;
the step of training the neural network is as follows:
continuously moving the sound source at each position and each distance around the sensor, collecting the corresponding coordinate position of each point of the sound source and signals obtained by all the sensing units, namely outputting a signal N (N1, N2 …. NN) passing through the photoelectric detector by the optical fiber interferometer;
the acquired signal N (N1, N2 …. NN) is used as the input of a training set, the corresponding coordinate positions of all points of the acquired sound source are used as the output of the training set, and the neural network is trained by a method in the prior art, such as a gradient descent method. And stopping until the training error is smaller than the threshold value P. The training error formula is the square of the difference between the neural network output layer X and the position X of the collected sound source at the moment, the square of the difference between the neural network output layer y and the position y of the collected sound source at the moment, and the square of the difference between the neural network output layer z and the position z of the collected sound source at the moment. When the error is less than P, the training is stopped, and P is generally 1.
The other signal processing method of the deep sea optical fiber sensor is characterized by comprising the following steps of:
let the spherical coordinate of the Kth sensing unit be K (X, Y, Z), another Ka equal to the sum of X square, Y square and Z square, and another Kb be 1/Ka. Multiplying the connecting layer of the Kth sensor and the neural network by the weight Kb, and inputting the connecting layer;
continuously moving the sound source at each position and each distance around the sensor, collecting the corresponding coordinate position of each point of the sound source and signals obtained by all the sensing units, namely outputting a signal N (N1, N2 …. NN) passing through the photoelectric detector by the optical fiber interferometer;
the acquired signal N (N1, N2 …. NN) is used as the input of a training set, the corresponding coordinate positions of all points of the acquired sound source are used as the output of the training set, and the neural network is trained by a method in the prior art, such as a gradient descent method. And stopping until the training error is smaller than the threshold value P. The training error formula is the square of the difference between the neural network output layer X and the position X of the sound source at the moment, the square of the difference between the neural network output layer y and the position y of the sound source at the moment and the square of the difference between the neural network output layer z and the position z of the sound source at the moment, when the error is smaller than P, the training is stopped, and P is generally 1.
As a further scheme of the invention: an arc-shaped glass cover plate is arranged at the periphery of the optical fiber sensing unit on the outer side of the outer pressure shell, two ends of the arc-shaped glass cover plate are fixedly installed on the outer pressure shell through bolts, a sealing window mirror is arranged at the position connection position of the optical fiber sensing unit and the outer pressure shell, and one end of a lead penetrates through the sealing window mirror and is electrically connected with the optical fiber sensing unit; the arc-shaped glass cover plate plays a role in protecting the optical fiber sensing unit.
As a further scheme of the invention: the connecting assembly comprises a pin shaft and a slip sheet, the pin shaft penetrates through the upper cabin body and the lower cabin body and then is fixed through a pin cap, the slip sheet is movably mounted on the pin shaft, and compression springs are mounted on the parts of the pin shaft between the slip sheet and the upper cabin body and between the slip sheet and the lower cabin body; the sliding sheet is extruded by the elasticity generated by the deformation of the compression spring to press the two sides of the pin shaft, so that the upper cabin body and the lower cabin body are firmly connected and fixed all the time.
As a further scheme of the invention: the lower end of the upper cabin body is provided with occlusion teeth, the upper end of the lower cabin body is provided with occlusion teeth at a position corresponding to the upper cabin body, and the occlusion teeth at the lower end of the upper cabin body are mutually attached to the occlusion teeth at the upper end of the lower cabin body; the lower end of the upper cabin body is provided with a limiting groove, and the lower cabin body is provided with a limiting column at a position corresponding to the upper cabin body; when the upper cabin body is assembled with the lower cabin body, the occlusion teeth at the lower end of the upper cabin body are matched with the occlusion teeth at the upper end of the lower cabin body, and the limiting column at the upper end of the lower cabin body is limited in the limiting groove at the lower end of the upper cabin body, so that a gap is not easy to exist in the connection between the upper cabin body and the lower cabin body.
Compared with the prior art, the invention has the beneficial effects that:
the deep sea optical fiber sensor has the following advantages:
the upper cabin body and the lower cabin body are assembled into a spherical deep sea optical fiber sensor through a connecting assembly, and the spherical shape enables the deep sea optical fiber sensor to be stressed in all directions of a deep sea bottom in a balanced manner, so that a good compression-resistant effect is achieved; the connecting assembly enables the upper cabin body and the lower cabin body to be firmly connected and not easy to loosen;
secondly, the optical fiber sensing units are arranged on the deep sea optical fiber sensor in a spherical multi-point mode, so that the range of monitoring the deep sea dark environment is enlarged; when the outer pressure shell is broken to cause leakage, the expanding agent in the buffer cavity expands when encountering water to immediately squeeze and block the broken part to form a water seepage prevention barrier;
and thirdly, the artificial intelligence technology is adopted, and two different signal processing methods are adopted, so that the efficiency and the quality of signal processing are greatly improved.
Drawings
Fig. 1 is a schematic structural diagram of a deep sea optical fiber sensor according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a connection assembly of a deep-sea optical fiber sensor according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a deep sea optical fiber sensor according to an embodiment of the present invention at a position a.
Fig. 4 is a schematic structural diagram of an optical fiber sensing unit according to an embodiment of the present invention.
In the figure: 1-upper cabin body, 2-lower cabin body, 3-outer pressure shell, 4-buffer cavity, 5-inner pressure shell, 6-containing cavity, 7-lead, 8-storage battery, 9-connecting assembly, 10-data processing and storing device, 11-communication connector, 12-occlusion tooth, 13-limit groove, 14-limit column, 15-pin shaft, 16-sliding sheet, 17-compression spring, 18-arc glass cover plate, 19-optical fiber sensing unit, 20-sealed window mirror, 21-coupler, 22-sensing unit, 23-reference unit, 24-photoelectric detector, 25-optical isolator and 26-laser.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to specific embodiments.
Example 1
Referring to fig. 4, in embodiment 1 of the present invention, an optical fiber sensing unit includes: the optical power input by the laser 26 is integrated by the coupler 21 and then divided into two paths according to a ratio, one path is transmitted to the reference unit 23, the other path is transmitted to the sensing unit 22, and the photoelectric detector 24 receives interference signals of the reference unit 23 and the sensing unit 22.
Example 2
Referring to fig. 1, in embodiment 1 of the present invention, a deep sea optical fiber sensor includes: the deep sea fiber sensor comprises an upper cabin body 1 and a lower cabin body 2, wherein the upper cabin body 1 and the lower cabin body 2 are fixedly connected and assembled into a complete deep sea fiber sensor through a connecting assembly 9; the deep sea optical fiber sensor is characterized in that an outer pressure shell 3 and an inner pressure shell 5 are arranged from outside to inside in sequence, a buffer cavity 4 is arranged between the outer pressure shell 3 and the inner pressure shell 5, and an expanding agent is filled in the buffer cavity 4; the inner pressure shell 5 is internally provided with a containing cavity 6, the containing cavity 6 is internally provided with a data processing and storing device 10 and a storage battery 8, the storage battery 8 is arranged on the left side and the right side of the data processing and storing device 10, and the storage battery 8 is electrically connected with the data processing and storing device 10; the communication connector 11 is arranged at the lower end of the deep sea optical fiber sensor using the deep learning algorithm, and the communication connector 11 is electrically connected with the data processing and storing device 10;
referring to fig. 3, further, at a position a, an optical fiber sensing unit 19 is disposed outside the outer pressure shell 3, and the optical fiber sensing unit 19 is electrically connected to the data processing and storing device 10 inside the cavity 6 through a wire 7;
the upper cabin body 1 and the lower cabin body 2 are assembled into a spherical deep sea optical fiber sensor through a connecting assembly 9, and the spherical shape enables the deep sea optical fiber sensor to be stressed in all directions of the deep sea bottom in a balanced manner, so that a good compression-resistant effect is achieved; the connecting assembly 9 enables the upper cabin body 1 and the lower cabin body 2 to be firmly connected and not easy to loosen; in addition, the optical fiber sensing unit 19 is in a spherical multi-point layout on the deep sea optical fiber sensor, so that the range of monitoring the deep sea dark environment is expanded; when the outer pressure shell 3 is broken to cause leakage, the expanding agent in the buffer cavity 4 expands when meeting water to immediately squeeze and block the broken part to form an anti-seepage barrier.
Furthermore, an arc-shaped glass cover plate 18 is arranged at the periphery of the optical fiber sensing unit 19 on the outer side of the outer pressure shell 3, two ends of the arc-shaped glass cover plate 18 are fixedly mounted on the outer pressure shell 3 through bolts, a sealing window mirror 20 is arranged at the position connection position of the optical fiber sensing unit 19 and the outer pressure shell 3, and one end of the lead 7 penetrates through the sealing window mirror 20 and then is electrically connected with the optical fiber sensing unit 19; the arc-shaped glass cover plate 18 plays a role in protecting the optical fiber sensing unit 19 and prevents the optical fiber sensing unit 19 from being damaged by large deep sea pressure; the sealed window mirror 20 is convenient for a user to observe the internal condition of the buffer chamber 4 and know whether the surface of the outer pressure shell 3 is cracked or not, so that damage is caused.
Further, the connecting assembly 9 comprises a pin shaft 15 and a sliding sheet 16, the pin shaft 15 penetrates through the upper cabin body 1 and the lower cabin body 2 and is fixed through a pin cap, the sliding sheet 16 is movably mounted on the pin shaft 15, and compression springs 17 are mounted on the parts of the pin shaft 15 between the sliding sheet 16 and the upper cabin body 1 and the parts of the pin shaft 15 between the sliding sheet 16 and the lower cabin body 2; the sliding sheet 16 is extruded by the elastic force generated by the deformation of the compression spring 17 to press the two sides of the pin shaft 15, so that the upper cabin body 1 and the lower cabin body 2 are firmly connected and fixed all the time.
Specifically, the lower end of the upper cabin body 1 is provided with occlusion teeth 12, the upper end of the lower cabin body 2 is provided with occlusion teeth 12 at the corresponding position of the upper cabin body 1, and the occlusion teeth 12 at the lower end of the upper cabin body 1 are mutually attached to the occlusion teeth 12 at the upper end of the lower cabin body 2; the lower end of the upper cabin body 1 is provided with a limit groove 13, and the lower cabin body 2 is provided with a limit column 14 at the corresponding position of the upper cabin body 1; when the upper cabin body 1 and the lower cabin body 2 are assembled, the occluding teeth 12 at the lower end of the upper cabin body 1 are engaged with the occluding teeth 12 at the upper end of the lower cabin body 2, and the limiting column 14 at the upper end of the lower cabin body 2 is limited in the limiting groove 13 at the lower end of the upper cabin body 1, so that a gap is not easy to exist in the connection between the upper cabin body 1 and the lower cabin body 2;
the signal processing algorithm adopted in embodiment 2 of the present invention is:
designing a neural network, wherein the number of input layer connections is the number of sensing units, the number of output layer connections is 3, and the input layer connections represent sound source coordinates X, Y and Z respectively, wherein the origin of the coordinates is the center of a sphere;
training a neural network:
continuously moving the sound source at each position and each distance around the sensor, collecting the corresponding coordinate position of each point of the sound source and signals obtained by all the sensing units, namely outputting a signal N (N1, N2 …. NN) passing through the photoelectric detector by the optical fiber interferometer;
the acquired signal N (N1, N2 …. NN) is used as the input of a training set, the corresponding coordinate positions of all points of the acquired sound source are used as the output of the training set, and the neural network is trained by a method in the prior art, such as a gradient descent method. And stopping until the training error is smaller than the threshold value P. The training error formula is the square of the difference between the neural network output layer X and the position X of the collected sound source at the moment, the square of the difference between the neural network output layer y and the position y of the collected sound source at the moment, and the square of the difference between the neural network output layer z and the position z of the collected sound source at the moment. When the error is less than P, the training is stopped, and P is generally 1.
Example 3
Referring to fig. 1, in embodiment 2 of the present invention, a deep sea optical fiber sensor includes: the deep sea fiber sensor comprises an upper cabin body 1 and a lower cabin body 2, wherein the upper cabin body 1 and the lower cabin body 2 are fixedly connected and assembled into a complete deep sea fiber sensor through a connecting assembly 9; the deep sea optical fiber sensor is characterized in that an outer pressure shell 3 and an inner pressure shell 5 are arranged from outside to inside in sequence, a buffer cavity 4 is arranged between the outer pressure shell 3 and the inner pressure shell 5, and an expanding agent is filled in the buffer cavity 4; the inner pressure shell 5 is internally provided with a containing cavity 6, the containing cavity 6 is internally provided with a data processing and storing device 10 and a storage battery 8, the storage battery 8 is arranged on the left side and the right side of the data processing and storing device 10, and the storage battery 8 is electrically connected with the data processing and storing device 10; the communication connector 11 is arranged at the lower end of the deep sea optical fiber sensor using the deep learning algorithm, and the communication connector 11 is electrically connected with the data processing and storing device 10;
referring to fig. 3, further, at a position a, an optical fiber sensing unit 19 is disposed outside the outer pressure shell 3, and the optical fiber sensing unit 19 is electrically connected to the data processing and storing device 10 inside the cavity 6 through a wire 7;
the upper cabin body 1 and the lower cabin body 2 are assembled into a spherical deep sea optical fiber sensor through a connecting assembly 9, and the spherical shape enables the deep sea optical fiber sensor to be stressed in all directions of the deep sea bottom in a balanced manner, so that a good compression-resistant effect is achieved; the connecting assembly 9 enables the upper cabin body 1 and the lower cabin body 2 to be firmly connected and not easy to loosen; in addition, the optical fiber sensing unit 19 is in a spherical multi-point layout on the deep sea optical fiber sensor, so that the range of monitoring the deep sea dark environment is expanded; when the outer pressure shell 3 is broken to cause leakage, the expanding agent in the buffer cavity 4 expands when meeting water to immediately squeeze and block the broken part to form an anti-seepage barrier.
Furthermore, an arc-shaped glass cover plate 18 is arranged at the periphery of the optical fiber sensing unit 19 on the outer side of the outer pressure shell 3, two ends of the arc-shaped glass cover plate 18 are fixedly mounted on the outer pressure shell 3 through bolts, a sealing window mirror 20 is arranged at the position connection position of the optical fiber sensing unit 19 and the outer pressure shell 3, and one end of the lead 7 penetrates through the sealing window mirror 20 and then is electrically connected with the optical fiber sensing unit 19; the arc-shaped glass cover plate 18 plays a role in protecting the optical fiber sensing unit 19 and prevents the optical fiber sensing unit 19 from being damaged by large deep sea pressure; the sealed window mirror 20 is convenient for a user to observe the internal condition of the buffer chamber 4 and know whether the surface of the outer pressure shell 3 is cracked or not, so that damage is caused.
Further, the connecting assembly 9 comprises a pin shaft 15 and a sliding sheet 16, the pin shaft 15 penetrates through the upper cabin body 1 and the lower cabin body 2 and is fixed through a pin cap, the sliding sheet 16 is movably mounted on the pin shaft 15, and compression springs 17 are mounted on the parts of the pin shaft 15 between the sliding sheet 16 and the upper cabin body 1 and the parts of the pin shaft 15 between the sliding sheet 16 and the lower cabin body 2; the sliding sheet 16 is extruded by the elastic force generated by the deformation of the compression spring 17 to press the two sides of the pin shaft 15, so that the upper cabin body 1 and the lower cabin body 2 are firmly connected and fixed all the time.
Specifically, the lower end of the upper cabin body 1 is provided with occlusion teeth 12, the upper end of the lower cabin body 2 is provided with occlusion teeth 12 at the corresponding position of the upper cabin body 1, and the occlusion teeth 12 at the lower end of the upper cabin body 1 are mutually attached to the occlusion teeth 12 at the upper end of the lower cabin body 2; the lower end of the upper cabin body 1 is provided with a limit groove 13, and the lower cabin body 2 is provided with a limit column 14 at the corresponding position of the upper cabin body 1; when the upper cabin body 1 and the lower cabin body 2 are assembled, the occluding teeth 12 at the lower end of the upper cabin body 1 are engaged with the occluding teeth 12 at the upper end of the lower cabin body 2, and the limiting column 14 at the upper end of the lower cabin body 2 is limited in the limiting groove 13 at the lower end of the upper cabin body 1, so that a gap is not easy to exist in the connection between the upper cabin body 1 and the lower cabin body 2;
the signal processing algorithm adopted in embodiment 3 of the present invention is:
let the spherical coordinate of the Kth sensing unit be K (X, Y, Z), another Ka equal to the sum of X square, Y square and Z square, and another Kb be 1/Ka. And multiplying the K-th sensor and the connection layer of the neural network by the weight Kb, and inputting the result into the connection layer.
Continuously moving the sound source at each position and each distance around the sensor, collecting the corresponding coordinate position of each point of the sound source and signals obtained by all the sensing units, namely outputting a signal N (N1, N2 …. NN) passing through the photoelectric detector by the optical fiber interferometer;
the acquired signal N (N1, N2 …. NN) is used as the input of a training set, the corresponding coordinate positions of all points of the acquired sound source are used as the output of the training set, and the neural network is trained by a method in the prior art, such as a gradient descent method. And stopping until the training error is smaller than the threshold value P. The training error formula is the square of the difference between the neural network output layer X and the position X of the sound source at the moment, the square of the difference between the neural network output layer y and the position y of the sound source at the moment and the square of the difference between the neural network output layer z and the position z of the sound source at the moment, when the error is smaller than P, the training is stopped, and P is generally 1.
While the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (6)
1. A deep sea fiber optic sensor comprising: go up cabin body (1) and lower cabin body (2), its characterized in that:
the upper cabin body (1) and the lower cabin body (2) are fixedly connected and assembled into a complete deep sea optical fiber sensor through a connecting assembly (9); the deep sea optical fiber sensor is characterized in that an outer pressure shell (3) and an inner pressure shell (5) are sequentially arranged from outside to inside, a buffer cavity (4) is arranged between the outer pressure shell (3) and the inner pressure shell (5), and an expanding agent is filled in the buffer cavity (4);
the inner pressure shell (5) is internally provided with a containing cavity (6), a data processing and storing device (10) and a storage battery (8) are arranged in the containing cavity (6), the storage battery (8) is arranged on the left side and the right side of the data processing and storing device (10), and the storage battery (8) is electrically connected with the data processing and storing device (10); the deep sea optical fiber sensor is characterized in that a communication connector (11) is arranged at the lower end of the deep sea optical fiber sensor, and the communication connector (11) is electrically connected with a data processing and storing device (10).
2. The deep-sea fiber optic sensor of claim 1, wherein: the optical fiber sensor is characterized in that an arc-shaped glass cover plate (18) is arranged on the outer side of the outer pressure shell (3) at the periphery of the optical fiber sensing unit (19), two ends of the arc-shaped glass cover plate (18) are fixedly mounted on the outer pressure shell (3) through bolts, a sealing window mirror (20) is arranged at the position connection position of the optical fiber sensing unit (19) and the outer pressure shell (3), and one end of a lead (7) penetrates through the sealing window mirror (20) and then is electrically connected with the optical fiber sensing unit (19).
3. The deep-sea fiber optic sensor of claim 1, wherein: coupling assembling (9) are including round pin axle (15) and gleitbretter (16), and it is fixed through the round pin cap after last cabin body (1) and lower cabin body (2) are passed in round pin axle (15), and movable mounting has gleitbretter (16) on round pin axle (15), and compression spring (17) are all installed on the part of round pin axle (15) between gleitbretter (16) and last cabin body (1), the part of round pin axle (15) between gleitbretter (16) and lower cabin body (2).
4. The deep sea fiber optic sensor according to claim 3, wherein: the lower end of the upper cabin body (1) is provided with occlusion teeth (12), the upper end of the lower cabin body (2) is provided with occlusion teeth (12) at the corresponding position of the upper cabin body (1), and the occlusion teeth (12) at the lower end of the upper cabin body (1) are attached to the occlusion teeth (12) at the upper end of the lower cabin body (2); the lower end of the upper cabin body (1) is provided with a limiting groove (13), and the lower cabin body (2) is provided with a limiting column (14) at the corresponding position of the upper cabin body (1).
5. A signal processing method of the deep sea optical fiber sensor according to any one of claims 1 to 4, characterized by comprising: designing a neural network and training the neural network;
the step of designing the neural network comprises the following steps: the number of the input layers is the number of the sensing units, the number of the output layers is three, the three input layers respectively represent sound source coordinates X, Y and Z, and the origin of the coordinates is the center of a sphere;
the step of training the neural network is that the sound source continuously moves at each position and each distance around the sensor, and the corresponding coordinate positions of the sound source and signals obtained by all the sensing units are collected, namely the optical fiber interferometer outputs a signal N (N1, N2 …. NN) passing through the photoelectric detector; using the acquired signal N (N1, N2 …. NN) as the input of a training set, using the corresponding coordinate positions of all points of the acquired sound source as the output of the training set, training the neural network by using a gradient descent method until the training error is less than a threshold value P, and stopping; the training error formula is the square of the difference between the neural network output layer X and the position X of the sound source at the moment, the square of the difference between the neural network output layer y and the position y of the sound source at the moment and the square of the difference between the neural network output layer z and the position z of the sound source at the moment, when the error is smaller than P, the training is stopped, and P is generally 1.
6. A signal processing method of the deep sea optical fiber sensor according to any one of claims 1 to 4, characterized by comprising the steps of:
let the spherical coordinate of the Kth sensing unit be K (X, Y, Z), another Ka equal to the sum of X square, Y square and Z square, and another Kb be 1/Ka.
Multiplying the connecting layer of the Kth sensor and the neural network by the weight Kb, and inputting the connecting layer; continuously moving the sound source at each position and each distance around the sensor, collecting the corresponding coordinate position of each point of the sound source and signals obtained by all the sensing units, namely outputting a signal N (N1, N2 …. NN) passing through the photoelectric detector by the optical fiber interferometer; and (3) taking the acquired signal N (N1, N2 …. NN) as the input of a training set, taking the corresponding coordinate positions of all points of the acquired sound source as the output of the training set, training the neural network by using a gradient descent method until the training error is less than a threshold value P, and stopping. The training error formula is the square of the difference between the neural network output layer X and the position X of the sound source at the moment, the square of the difference between the neural network output layer y and the position y of the sound source at the moment and the square of the difference between the neural network output layer z and the position z of the sound source at the moment, when the error is smaller than P, the training is stopped, and P is generally 1.
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Application publication date: 20200428 |