CN114414529B - Salinity detection method, computer device and computer readable storage medium - Google Patents
Salinity detection method, computer device and computer readable storage medium Download PDFInfo
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Abstract
The invention provides a multiband double-optical fiber end face interference salinity detection method, a computer device and a computer readable storage medium, wherein the method comprises the steps of obtaining a plurality of wireless signals, wherein the plurality of wireless signals have different frequency bands, carrying out electro-optical modulation on each wireless signal, and outputting the wireless signals to a salinity detection sensor, wherein at least one part of the salinity detection sensor is soaked in seawater to be detected; performing photoelectric conversion on the returned light signals output by the salinity detection sensor, performing spectrum analysis to obtain the initial salinity value of the seawater to be detected after each wireless signal spectrum analysis; calculating the average value of the initial salinity values corresponding to the wireless signals, and using the average value as the final salinity value of the seawater to be detected. The invention also provides a computer device for realizing the method. The invention can improve the accuracy of seawater salinity detection.
Description
Technical Field
The invention relates to the field of salinity detection of seawater, in particular to a multiband double-optical-fiber end face interference salinity detection method, a computer device for realizing the method and a computer readable storage medium.
Background
Seawater salinity in different areas is often different, and changes in seawater salinity often have a great influence on marine ecology, so that the seawater salinity needs to be monitored, for example, the seawater salinity of specific areas needs to be periodically detected. Existing systems (SDS) for detecting seawater salinity are often provided with a device for detecting seawater salinity.
Referring to fig. 1, the existing seawater salinity detection apparatus includes an erbium-doped fiber amplifier 11, an electro-optical modulator 12, a salinity sensor 13, an optical circulator 14, a photoelectric converter 15, and an electronic spectrum analyzer 16. The erbium-doped fiber amplifier 11 outputs an optical signal to the electro-optic modulator 12. The electro-optic modulator 12 also receives a wireless radio frequency signal, for example, connected to a Radio Frequency (RF) signal source and receives a radio frequency signal. It can be seen that the existing seawater salinity detection apparatus uses Amplified Spontaneous Emission (ASE) signals emitted by the erbium-doped fiber amplifier 11 and then electro-optically modulated by the electro-optical modulator 12 using an electrical signal generated by a radio frequency signal source, and the modulated optical signals are then sent to the first port 141 of the optical circulator 14 and enter the salinity sensor 13 through the second port 142. During detection, a part of the salinity sensor 13 is soaked in seawater to be detected, and as the frequency of the optical signals changes after the optical signals pass through seawater with different salinity, the changed optical signals are transmitted to the third port 143 from the second port 142 of the optical circulator 14 and are incident to the photoelectric converter 15 after passing through the third port 143.
The photoelectric converter 15 photoelectrically converts the optical signal passing through the salinity sensor 13, converts the optical signal into an electrical signal, and outputs the obtained electrical signal to the electronic spectrum analyzer 16, which performs spectrum analysis on the photoelectrically converted signal to calculate the salinity of the sea water.
However, since the existing seawater salinity detection method only uses a signal in a single frequency band to detect, for example, the frequency of an optical signal obtained by an electro-optical modulator is often fixed, and the frequency of the optical signal is often related to a radio frequency signal modulated by an electro-optical modulator, if the radio frequency signal is disturbed, for example, when the radio frequency signal is subjected to electromagnetic interference, the stability of the optical signal modulated by the electro-optical modulator is affected, and thus the detection of the seawater salinity is affected, which may possibly result in inaccurate detection of the seawater salinity.
Disclosure of Invention
A first object of the present invention is to provide a multiband dual-fiber end face interference salinity detection method capable of improving the accuracy of seawater salinity detection.
The second object of the invention is to provide a computer device for realizing the multiband double-optical-fiber end-face interference salinity detection method.
A third object of the present invention is to provide a computer readable storage medium implementing the above-mentioned multiband dual-fiber end-face interference salinity detection method.
In order to achieve the first object, the present invention provides a multiband dual-fiber end face interference salinity detection method, comprising obtaining a plurality of wireless signals, wherein the plurality of wireless signals have different frequency bands, performing electro-optical modulation on each wireless signal, and outputting the wireless signals to a salinity detection sensor, wherein at least a part of the salinity detection sensor is immersed in seawater to be detected; performing photoelectric conversion on the returned light signals output by the salinity detection sensor, performing spectrum analysis to obtain the initial salinity value of the seawater to be detected after each wireless signal spectrum analysis; calculating the average value of the initial salinity values corresponding to the wireless signals, and using the average value as the final salinity value of the seawater to be detected.
According to the scheme, the obtained optical signals with different frequencies respectively pass through the salinity sensor and respectively obtain the corresponding initial salinity values by acquiring the wireless signals with different frequency bands and performing electro-optic modulation, and then the final salinity value of the seawater to be detected is determined by calculating the average value of the initial salinity values. Therefore, the final salinity value obtained by calculation is obtained by calculating the initial salinity value corresponding to the wireless signals of a plurality of different frequency bands, even if the wireless signal of one frequency band is interfered, the initial salinity value corresponding to other frequency bands can be used for compensation, the final salinity value is not seriously deviated from the actual situation, and the accuracy of seawater salinity detection is improved.
In a preferred embodiment, acquiring the plurality of wireless signals includes: a plurality of wireless signals are acquired from the air using a wireless signal transceiver module having a plurality of bandpass filters, each bandpass filter corresponding to a frequency band.
Further, the wireless signal obtained by the wireless signal transceiver module is a mobile communication wireless signal.
Therefore, the wireless radio frequency signals, especially the wireless signals of mobile communication, are acquired from the air, so that the acquisition of a plurality of wireless signals is very simple and convenient, and the cost for acquiring a plurality of wireless signals with different frequency bands is reduced.
Further, calculating an average value of initial salinity values corresponding to the plurality of wireless signals includes: a weighted average of the initial salinity values corresponding to the plurality of wireless signals is calculated.
Still further, before calculating the weighted average, the method further comprises: setting a weighting coefficient corresponding to the initial salinity value corresponding to each wireless signal, wherein the weighting coefficient of at least one initial salinity value is different from the weighting coefficient of the other initial salinity value.
Therefore, the weighting coefficients of the initial salinity values corresponding to the unused wireless signals are different, so that the corresponding weighting coefficients can be flexibly adjusted according to the actual conditions of different wireless signals, and the salinity value of the seawater can be accurately calculated.
In a further scheme, after a plurality of wireless signals are acquired, the power of each wireless signal is calculated, and a weighting coefficient corresponding to an initial salinity value corresponding to the wireless signal is positively correlated with the power of the wireless signal.
Therefore, the initial salinity value corresponding to the wireless signal with higher power has a higher weighting coefficient, so that the calculation of the salinity value of the seawater can take the wireless signal with higher power as a reference, and the accuracy of the calculation of the salinity value of the seawater can be improved.
In a further aspect, if the power of the wireless signal is less than the preset power threshold, the weighting coefficient of the initial salinity value corresponding to the wireless signal is set to zero.
Therefore, if the power of a certain wireless signal is too low, the initial salinity value corresponding to the wireless signal is directly abandoned, namely the initial salinity value corresponding to the wireless signal is not needed to be used as a factor for calculating the final salinity value, and the calculated final salinity value is prevented from being influenced by the initial salinity value corresponding to the wireless signal with lower power.
Alternatively, the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is a preset fixed value.
In order to achieve the second objective, the present invention provides a computer device including a processor and a memory, where the memory stores a computer program, and the computer program when executed by the processor implements the steps of the multiband dual-fiber end face interference salinity detection method.
In order to achieve the third object, the present invention provides a computer program stored on a computer readable storage medium, wherein the computer program realizes each step of the multiband dual-optical fiber end face interference salinity detection method when being executed by a processor.
Drawings
Fig. 1 is a block diagram of a conventional device for detecting salinity of seawater.
FIG. 2 is a block diagram of a seawater salinity detection device used in an embodiment of the multiband dual-fiber end-face interference salinity detection method of the invention.
FIG. 3 is a block diagram of a salinity sensor in a seawater salinity detection device used in an embodiment of the multiband dual-fiber end-face interference salinity detection method of the invention.
FIG. 4 is a flow chart of an embodiment of the multiband dual-fiber end-face interferometry salinity detection method of the present invention.
FIG. 5 is a flow chart of calculating the final salinity value according to an embodiment of the multiband dual-fiber endface interferometry salinity detection method of the present invention.
FIG. 6 is a flow chart of determining the initial salinity value weighting coefficients in an embodiment of the multi-band dual-fiber endface interferometry salinity test method of the present invention.
The invention is further described below with reference to the drawings and examples.
Detailed Description
The multiband double-optical fiber end face interference salinity detection method is used for detecting the salinity of the seawater, particularly, a plurality of wireless signals with different frequency bands are obtained from the air to serve as radio frequency signals for electro-optic modulation, a plurality of optical signals with different frequencies are formed, the optical signals with different frequencies are incident into a salinity sensor to obtain a plurality of different initial salinity values, and finally, the final salinity value is calculated according to the plurality of initial salinity values.
The method of the present embodiment employs a seawater salinity detection device as shown in fig. 2, which includes a wireless signal transceiver module 20, a salinity sensor 23, an optical circulator 24, a photoelectric converter 25, and an electronic spectrum analyzer 26, to detect the seawater salinity. The wireless signal transceiver module 20 includes a plurality of band-pass filters 21, 22, and further includes a signal amplifier 27 and an optoelectronic direct regulator 28, preferably, the frequencies of the wireless signals filtered by each band-pass filter are different, for example, the wireless signals filtered by the band-pass filter 21 are wireless signals in the 5G communication frequency band, and the wireless signals filtered by the band-pass filter 22 are wireless signals in the 4G communication frequency band. Of course, the wireless signal transceiver module 20 may further be provided with more band-pass filters, and other band-pass filters may filter wireless signals in the 3G communication frequency band or wireless signals in the 2G communication frequency band. Further, the signals output from the plurality of band pass filters are received by the signal amplifier 27.
The signal amplifier 27 amplifies the wireless signals obtained by the band pass filters 21, 22, and outputs the amplified signals to the photo-electric direct regulator 28. Preferably, a power detection module is disposed in the wireless signal transceiver module 20, and is configured to detect the power of the wireless signals acquired by the band-pass filters 21 and 22, and record the power of each wireless signal.
The optoelectric direct 28 receives the amplified wireless signal and a light source, such as a light emitting diode or a laser, is disposed within the optoelectric direct 28 to generate an optical signal. In addition, the photoelectric direct modulator 28 directly modulates the voltage or current of the light source by using the amplified wireless signal, and since the wireless signal received by the band-pass filter 21 from the air is a wireless radio frequency signal, the voltage or current of the light source can be directly modulated by the wireless radio frequency signal to change the frequency of the output light signal, so that the difficulty of electro-optic modulation can be reduced by adopting a photoelectric direct modulation mode. In addition, since the optical signal is modulated by the optoelectric direct modulation, an erbium-doped fiber amplifier is not required.
Preferably, the wireless signal transceiver module 20 may be implemented using a mobile communication wireless signal transceiver module, for example, using a 5G signal transceiver module. For example, the 5G signal transceiver module may be a 5G base station, so that the volume of the wireless signal transceiver module 20 may be small and the production cost is low, compared with the erbium-doped fiber amplifier, the present embodiment can greatly reduce the production cost of the seawater salinity detection device and reduce the volume of the seawater salinity detection device. In addition, since the 5G signal transceiver module can generally accommodate a severe environment, the wireless signal transceiver module 20 can be installed near the sea and can be maintained for a long period of use.
The optical circulator 24 has three ports, namely, a first port 241, a second port 242, and a third port 243, and an optical signal is incident on the optical circulator 24 from the first port 241, and then can only be emitted from the second port 242, and an optical signal incident on the optical circulator 24 from the second port 242 can only be emitted from the third port 243, and cannot be reversely transmitted.
The optical-to-electrical direct modulator 28 modulates the optical signal with the wireless radio frequency signal to obtain an input optical signal, and an output end of the optical-to-electrical direct modulator 28 is connected to the first port 241 of the optical circulator 24, so that the input optical signal is incident from the first port 241 and then exits from the second port 242. The salinity sensor 23 is connected to the second port 242 of the light circulator 24, and thus, an input optical signal is incident to the salinity sensor 23 from the second port 242.
Referring to fig. 3, an optical fiber 231, an APC connector 232, a first length of physical contact fiber 235, a single-mode optical fiber 236, and a second length of physical contact fiber 237 are disposed within the salinity sensor 23, wherein a first end of the optical fiber 231 is connected to a second port 242 of the optical circulator 24 and the APC connector 232 is disposed at a second end of the optical fiber 23. Wherein the outer end surface of APC connector 232 forms an inclined surface of 8 °, i.e. the angle between the outer end surface of APC connector and the axis is 8 °. The first end face 234 of the first length of physical contact fiber 235 is a conventional PC splice, i.e., a polished to a micro-sphere, so that the first end face 234 will form a first reflective surface. The second end of the first segment of physical contact fiber 235 is an APC splice and is connected to a single mode fiber 236. The second segment of physical contact fiber 237 has a second end face 239, the second end face 239 being the free end of the second segment of physical contact fiber 237, the second end face 239 also being a conventional PC splice, i.e., a micro-spherical polished end face, so that the second end face 239 will form a second reflective surface. The other end of the second segment of physical contact fiber 237 is provided with an APC splice that is connected to single mode fiber 236. In addition, the second end surface 239 of the second segment of physical contact fiber 237 extends into the receiving cavity 238, and the receiving cavity 238 is filled with seawater to be detected, preferably, the second end surface 239 is completely immersed in the seawater to be detected.
In addition, a receiving cavity 233 is provided between the APC connector 232 and the first end surface 234 of the first section of the physical contact fiber 231, and the receiving cavity 233 is filled with a reference solution of a predetermined salinity, such as sea water of a known salinity. The input optical signal passes through the optical fiber 231, exits the APC connector 232, and penetrates through the reference solution, and a part of the optical signal is reflected on the first end surface 234 and enters the optical fiber 231, so as to form a first reflected signal. Another portion of the input optical signal will pass through the first end face 234 and impinge on the first length of physical contact fiber 235, then pass through the single mode fiber 236 to the second length of physical contact fiber 237, and reflect off the second end face 239 to form a second reflected signal that passes through the second length of physical contact fiber 237, the single mode fiber 236, the first length of physical contact fiber 235, and impinge on the fiber 231, and then impinge on the second port 242 of the optical circulator 24. Thus, the first reflected signal and the second reflected signal actually pass through the optical circulator 24 sequentially, and there is a time difference in that the first reflected signal and the second reflected signal pass through the third port 243 of the optical circulator 24. Thus, a microwave photon filter is formed at the third port 243 of the optical circulator 24.
In this embodiment, the length of single mode fiber 236 is between 1.5 km and 2.5 km, preferably, the length of single mode fiber 236 is 2 km, and the lengths of first and second lengths of physical contact fiber 235, 237 are equal and no more than 5 meters, preferably, the lengths of first and second lengths of physical contact fiber 235, 237 are each between 2 meters and 3 meters. It can be seen that the length of single mode fiber 236 is much greater than the lengths of first and second lengths of physical contact fiber 235, 237.
Thus, within the salinity sensor 23, the second end 239 of the second segment of physical contact fiber 237 is fully immersed in the seawater to be tested, having a known salinity between the first end 234 and the APC connector 232, such that the first reflected signal and the second reflected signal form a microwave interference at the third port 243 of the optical circulator 24. According to the microwave interference principle, only an optical signal of a specific wavelength can pass through the microwave interferometer, and therefore, of interference signals formed by the first reflected signal and the second reflected signal, only an optical signal of a specific wavelength is output from the third port 243 of the optical circulator 24, the output optical signal is received by the photoelectric converter 25, and the photoelectric converter 25 photoelectrically converts the received optical signal to an electrical signal to form a measurement electrical signal. The photoelectric converter 25 outputs the measurement electric signal to the electronic spectrum analyzer 26, and the electronic spectrum analyzer 26 performs spectrum analysis on the photoelectric-converted measurement electric signal to calculate the salinity of the seawater to be detected.
Specifically, the electronic spectrum P (2pi.f) corresponding to the optical signal at the third port 243 of the optical circulator 24 analyzed by the electronic spectrum analyzer 26 m ) The following formula is satisfied:
in formula 1, f m Is the microwave frequency, R 1 The reflectance at the first end face 234 after the light signal passes through the sea water of known salinity between the first end face 234 and the APC connector 232, which reflectance R is known because the salinity of the reference solution is known 1 Is also a known coefficient. R is R 2 Is an optical signal at the second end of the second segment of physical contact fiber 237And a reflection coefficient at 239, which is related to the salinity of the seawater to be detected. And A (lambda) represents the output spectrum after passing through the optoelectric direct 28, thus R 1 A (λ) is the spectrum reflected on the first end face 234, a (λ (1-R) 1 )α 2 R 2 Is the spectrum after passing through the first end face 234 and transmitted and then reflected by the second end face 239, α is the transmission loss of optical power in the fiber, and k is a constant related to the photon-to-electron conversion efficiency of the photoelectric converter 25. τ (λ) is the time delay between the first reflected signal and the second reflected signal, i.e., the difference between the time the first reflected signal arrives at the third port 234 of the optical circulator 24 and the time the second reflected signal arrives at the third port 234 of the optical circulator 24. Specifically, τ (λ) can be expressed by the following formula:
τ(λ)＝n g (lambda) 2L/c (2)
Wherein n is g (lambda) is the spectral range [ lambda 1, lambda 2]The group velocity profile in L is the length of the fiber between the first end 234 and the second end 239 and c is the speed of light in vacuum. According to the mean theorem of integration, at [ lambda 1, lambda 2]The second term of equation 1 can be reduced to the following equation:
where λ0 is the median of the spectral range [ λ1, λ2 ].
Due to the first term of equation 1 and the microwave frequency f m Irrelevant, therefore at microwave frequency f mr Where if 2 pi f is satisfied mr τ(λ 0 ) Under the condition of = (2 n-1) pi, then the electron spectrum P (2 pi f) can be obtained m ) Wherein n is an integer. In combination with formulas 1 to 3, the electron spectrum P (2pi.f m ) The minimum value of (2) may be expressed as follows:
due to the reflection coefficient R 2 Is a coefficient related to the salinity of the seawater to be detected, according to phenanthreneThe law of fresnel reflection can be expressed as the following equation:
R 2 (S)＝(n silica -n water (S)) 2 /(n silica +n water (S)) 2 (5)
Wherein n is silica And n water Refractive index of light beam transmitted in optical fiber and sea water, respectively, refractive index n of light beam transmitted in optical fiber silica The relationship with salinity S can be expressed as:
n water (S)＝n water0 +k 2 s (6)
Wherein k is 2 Is a preset constant, for example, the value can be 1.779 multiplied by 10 -4 ，n water0 Is the refractive index of the light beam transmitted in pure water. Thus, by combining equations 4 through 6, the frequency of the microwave f can be deduced mr Minimum R at f The power is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
when the salinity of the seawater to be detected changes, the reflection coefficient R 2 Corresponding changes can also occur, thereby changing the electronic spectrumIs a value of (2). Therefore, the microwave frequency f can be measured mr Minimum power R at f To detect changes in seawater salinity. According to the above-described formulas 7 to 10,the change of the salinity value of the seawater along with the microwave frequency is not linear in theory, and the key index is the sensing sensitivity Q 1 And second order nonlinear term Q 1 The measurement results of the original data after adding noise in the experiment can be fitted. In order to evaluate the linearity of the salinity detection device, the parameter |Q can be calculated theoretically 2 /Q 1 |：
|Q 2 /Q 1 |＝k 2 /(2(n silica -n water0 ) (11)
It can be seen that for seawater of different salinity to be detected, the electron spectrum P (2pi.f m ) The values of (2) are different, so that the salinity of the seawater to be detected can be calculated from the values of the electronic spectrum obtained by the electronic spectrum analyzer 26.
In practical application, the resolution of the electronic spectrum analyzer is preset, and if the frequency band aimed by the band-pass filter is a frequency band of 5G, the frequency scanning range of the electronic spectrum analyzer is set to be 3.48GHz to 3.52GGHz. In addition, the salinity of the reference solution disposed between the first end face 234 and the APC connector 232 is a reference value to form a deep notch filter of the microwave photon filter. Preferably, the depth of the deep notch filter is greater than 10dB. The depth of the microwave photon filter is defined as the difference between the maximum and minimum values of the radio frequency response curve.
The specific steps of the dual-fiber end-face interference salinity detection method based on microwave photon signals are described below with reference to fig. 4. First, step S1 is performed to acquire a plurality of radio signals from the air by using the radio signal transceiver module, where the plurality of radio signals are radio signals of mobile communications, specifically, the plurality of radio signals are 2G signals, 3G signals, 4G signals, 5G signals, or the like, respectively. After each wireless signal is acquired, the power of each wireless signal is detected and calculated, and the data of each wireless signal is recorded.
Then, step S2 is performed to amplify the acquired wireless signal, for example, amplify the received wireless signal using a signal amplifier, and directly electro-optically modulate the amplified signal. Preferably, the wireless signal transceiver module is provided with a photoelectric direct adjuster, the photoelectric direct adjuster is provided with a light source, such as a light emitting diode or a laser, and the amplified wireless radio frequency signal is utilized to directly modulate the voltage or current of the light source, so as to change the frequency of the optical signal, and the optical signal output by the photoelectric direct adjuster is the input optical signal of the embodiment.
Next, step S3 is performed to transmit the input optical signal obtained through the electro-optical modulation to the first port of the optical circulator, the input optical signal is transmitted from the first port to the second port, and then step S4 is performed, the input optical signal is incident to the salinity sensor from the second port. The input optical signal forms a first reflection signal on a first end face of a first section of the physical contact optical fiber of the salinity sensor, and forms a second reflection signal on a second end face of a second section of the physical contact optical fiber, and because the second reflection signal needs to pass through a longer single-mode optical fiber, the first reflection signal firstly passes through a second port of the optical circulator and exits from a third port of the optical circulator, and the second reflection signal is later than the first reflection signal and exits from the second port and the third port of the optical circulator, so that microwave interference is formed at the third port of the optical circulator, which is equivalent to forming a microwave photon interferometer.
Then, step S5 is performed, and the return optical signal emitted from the third port of the optical circulator is received by the photoelectric converter, which modulates the return optical signal to obtain a measurement electrical signal. Next, step S6 is performed, in which the measured electrical signal is transmitted to the electronic spectrum analyzer, and the electronic spectrum analyzer calculates the spectrum information of the electrical signal. Because a plurality of wireless signals are obtained in step S1, each wireless signal can directly modulate the light source to form optical signals with different frequencies, and a plurality of return optical signals can be obtained after the plurality of optical signals pass through the salinity sensor, the electronic spectrum analyzer can calculate and obtain a salinity value corresponding to each wireless signal, and the salinity value is called an initial salinity value, that is, one wireless signal corresponds to one initial salinity value.
Finally, step S7 is performed to calculate the final salinity value of the seawater to be detected from the plurality of initial salinity values, for example, to perform weighted average calculation on the plurality of initial salinity values, and the result obtained by calculation is the final salinity value. Further, a plurality of weighting coefficients corresponding to different initial salinity values may be set, that is, a weighting coefficient corresponding to an initial salinity value corresponding to each wireless signal is preset, and the weighting coefficient of at least one initial salinity value is different from the weighting coefficient of another initial salinity value.
The process of calculating the final salinity value is described below in connection with FIG. 5. First, step S11 is performed to acquire the power of each wireless signal, i.e., the power of each wireless signal recorded in step S1. Preferably, the wireless signal transceiver module records the power of each wireless signal, and after the electronic spectrum analyzer calculates each initial salinity value, the power of the wireless signal corresponding to each initial salinity value is calculated and obtained, that is, step S12 is performed.
Then, step S13 is performed to determine a weighting coefficient for each initial salinity value based on the power of the wireless signal. In this embodiment, the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is positively correlated with the power of the wireless signal, that is, the greater the weighting coefficient corresponding to the initial salinity value of the wireless signal if the power of the wireless signal is greater, the smaller the weighting coefficient corresponding to the initial salinity value of the wireless signal if the power of the wireless signal is smaller. Further, if the power of a certain wireless signal is smaller than a preset power threshold, the weighting coefficient of the initial salinity value corresponding to the wireless signal is set to be zero. Thus, for a radio signal with too little power, the initial salinity value corresponding to the radio signal is directly abandoned when the final salinity value is calculated.
Because the power of different wireless signals is often different, the weighting coefficients of the plurality of wireless signals tend to be different, i.e., at least one wireless signal has a weighting coefficient that corresponds to an initial salinity value that is different from the weighting coefficient of another wireless signal.
Finally, step S14 is performed to calculate a final salinity value with a plurality of initial salinity values and corresponding weighting coefficients, e.g. each initial salinity value is multiplied by a corresponding weighting coefficient, and then a weighted average is taken as the final salinity value. Therefore, the calculation of the final salinity value of the seawater adopts a plurality of optical signals modulated by wireless signals as the basis of detection, and the detection accuracy of the salinity of the seawater can be improved. For example, if a radio signal in a certain frequency band is interfered, the radio signal in the frequency band has lower power, and when calculating the final salinity value, the weighting coefficient of the initial salinity value corresponding to the radio signal is smaller, that is, the specific gravity of the initial salinity value corresponding to the radio signal in the final salinity value is smaller, and the calculation effect on the final salinity value is smaller.
Alternatively, this embodiment may also exclude an initial salinity value that is significantly abnormal. Referring to fig. 6, when excluding the initial salinity value of the obvious abnormality, step S21 is first performed to acquire the initial salinity value corresponding to each wireless signal, and then step S22 is performed to calculate an average value of the plurality of initial salinity values, i.e., add the plurality of initial salinity values and divide the number of initial salinity values. Then, step S23 is executed to determine whether the difference between the current initial salinity value and the average value of the salinity values is greater than a preset threshold, if so, it is determined that the wireless signal corresponding to the initial salinity value is strongly interfered to cause the calculated initial salinity value to deviate from the real data obviously, and step S24 is executed to set the weighting coefficient of the current initial salinity value to zero, so that the initial salinity value corresponding to the wireless signal is directly abandoned when the final salinity value is calculated.
If the judgment result in the step S23 is no, it indicates that the current initial salinity value is not strongly interfered, and then step S25 is performed to determine a weighting coefficient corresponding to the initial salinity value according to the power of the wireless signal. Preferably, the sum of the weighting coefficients for all initial salinity values is 1.
Of course, in an alternative, the weighting coefficients of the initial salinity values corresponding to the plurality of wireless signals may be a fixed value.
It can be seen that the present embodiment excludes the initial salinity value corresponding to the markedly abnormal initial salinity value by setting its weighting coefficient to zero, thereby ensuring that the calculated final salinity value can reflect the true salinity of the seawater.
In this embodiment, the first reflected signal and the second reflected signal formed at the end surfaces of the two sections of the salinity sensor, which are in physical contact with the optical fiber, form microwave photon interference, which is actually a double-end optical signal interference detection method. Compared with the traditional seawater salinity measuring method based on spectrum measurement, the embodiment can measure the salinity value of the seawater by advancing the minimum value of the radio frequency response curve of microwave photon interference. Experiments show that when the salinity of the seawater is within the range of 30.0-35.5%o, the sensitivity of salinity detection is higher, and the seawater has good linearity and stability.
In addition, since the present embodiment acquires a wireless signal from the air, the voltage or current of the light source is directly modulated using the wireless signal to change the frequency of the optical signal, and thus, the optical signal does not need to be generated using an erbium-doped fiber amplifier. Because wireless signal transceiver module's low in production cost, and small, can reduce the manufacturing cost of sea water salinity detection device by a wide margin to reduce the volume of whole equipment, can conveniently carry out the detection of sea water salinity in the open air.
And, a plurality of different frequency band wireless signals are obtained and respectively subjected to electro-optic modulation to obtain a plurality of different frequency optical signals, the plurality of different frequency optical signals respectively pass through a salinity sensor and respectively obtain a plurality of corresponding initial salinity values, and then the final salinity value of the seawater to be detected is determined by calculating the average value of the plurality of initial salinity values. Therefore, even if the wireless signal of a certain frequency band is interfered, the final salinity value is not seriously deviated from the actual situation, so that the accuracy of the seawater salinity detection is improved.
Computer apparatus embodiment:
the computer device of the present embodiment is an electronic device with data processing capability, and includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the processor executes the computer program to implement the steps of the multiband dual-fiber end face interference salinity detection method.
For example, a computer program may be split into one or more modules, which are stored in memory and executed by a processor to perform the various modules of the invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program in the terminal device.
The processor referred to in the present invention may be a central processing unit (Central Processing Unit, CPU), or other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being a control center of the terminal device, and the various interfaces and lines being used to connect the various parts of the overall terminal device.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Computer-readable storage medium embodiments:
the computer program stored in the above-mentioned computer means may be stored in a computer readable storage medium if it is implemented in the form of software functional units and sold or used as a separate product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement each step of the method for detecting salinity by interference of multi-band dual-fiber end faces.
Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
Finally, it should be emphasized that the foregoing is merely a preferred embodiment of the present invention, and is not intended to limit the invention, but rather that various changes and modifications can be made by those skilled in the art without departing from the spirit and principles of the invention, and any modifications, equivalent substitutions, improvements, etc. are intended to be included within the scope of the present invention.
Claims (10)
1. The multiband double-fiber end face interference salinity detection method is characterized by comprising the following steps of:
acquiring a plurality of wireless signals from the air, wherein the plurality of wireless signals have different frequency bands, carrying out electro-optical modulation on each wireless signal, and outputting the wireless signals to a salinity detection sensor, wherein at least one part of the salinity detection sensor is soaked in seawater to be detected; wherein the wireless signal is a radio frequency signal for electro-optical modulation;
performing photoelectric conversion on the returned light signals output by the salinity detection sensor, and performing spectrum analysis to obtain an initial salinity value of the seawater to be detected, which is calculated after each wireless signal spectrum analysis;
calculating the average value of the initial salinity values corresponding to the wireless signals, and using the average value as the final salinity value of the seawater to be detected.
2. The multiband dual-fiber end-face interference salinity detection method according to claim 1, wherein:
acquiring a plurality of wireless signals includes: a plurality of wireless signals are acquired from the air using a wireless signal transceiver module having a plurality of bandpass filters, each of the bandpass filters corresponding to a frequency band.
3. The multiband dual-fiber end-face interference salinity detection method according to claim 2, wherein:
the wireless signals acquired by the wireless signal receiving and transmitting module are mobile communication wireless signals.
4. A multiband dual-fiber end-face interference salinity detection method according to any one of claims 1 to 3, wherein:
calculating an average of the initial salinity values corresponding to the plurality of wireless signals includes: and calculating weighted average values of the initial salinity values corresponding to the wireless signals.
5. The multiband dual-fiber end-face interference salinity detection method according to claim 4, wherein:
before calculating the weighted average, further performing: setting a weighting coefficient corresponding to the initial salinity value corresponding to each wireless signal, wherein the weighting coefficient of at least one initial salinity value is different from the weighting coefficient of the other initial salinity value.
6. The multiband dual-fiber end-face interference salinity detection method according to claim 5, wherein:
after a plurality of wireless signals are acquired, calculating the power of each wireless signal, wherein the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is positively correlated with the power of the wireless signal.
7. The multiband dual-fiber end-face interference salinity detection method according to claim 6, wherein:
if the power of the wireless signal is smaller than the preset power threshold, the weighting coefficient of the initial salinity value corresponding to the wireless signal is set to be zero.
8. The multiband dual-fiber end-face interference salinity detection method according to claim 5, wherein:
and the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is a preset fixed value.
9. Computer device, characterized in that it comprises a processor and a memory, said memory storing a computer program which, when executed by the processor, implements the steps of the multiband dual-fiber-optic endface interferometry salinity detection method according to any one of claims 1 to 8.
10. A computer readable storage medium having stored thereon a computer program characterized by: the computer program, when executed by a processor, implements the steps of the multiband dual-fiber-optic endface interferometry salinity detection method according to any one of claims 1 to 8.
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