CN114414529A - Multi-band double-optical-fiber end-face interference salinity detection method, computer device and computer readable storage medium - Google Patents

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 wireless signals have different frequency wave bands, performing electro-optical modulation on each wireless signal and outputting the wireless signal to a salinity detection sensor, and at least one part of the salinity detection sensor is soaked in seawater to be detected; performing photoelectric conversion on the return light signals output by the salinity detection sensor, performing spectral analysis to obtain the initial salinity value of the seawater to be detected after spectral analysis of each wireless signal is performed; and calculating the average value of the initial salinity values corresponding to the plurality of 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 and a computer readable storage medium for realizing the above method. The invention can improve the accuracy of seawater salinity detection.

Description

Multi-band dual-fiber end face interference salinity detection method, computer device and computer readable storage medium

technical field

The invention relates to the field of seawater salinity detection, in particular to a multi-band dual-fiber end-face interference salinity detection method, a computer device and a computer-readable storage medium for implementing the method.

Background technique

The salinity of seawater is often different in different regions, and the change of seawater salinity often has a significant impact on marine ecology. Therefore, it is necessary to monitor the seawater salinity. For example, it is necessary to regularly detect the seawater salinity in some specific areas. The existing system (SDS) for detecting the salinity of seawater is often provided with a device for detecting the salinity of seawater.

Referring to FIG. 1 , the existing seawater salinity detection device 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 an electro-optic modulator 12, which also receives a wireless radio frequency signal, eg, is connected to a radio frequency (RF) signal source and receives the radio frequency signal. It can be seen that the amplified spontaneous emission signal (ASE) used by the existing seawater salinity detection device is emitted by the erbium-doped fiber amplifier 11, and then the electro-optic modulator 12 uses the electrical signal generated by the radio frequency signal source to perform electro-optic modulation, and the modulated light The signal is then fed into the first port 141 of the optical circulator 14 and into the salinity sensor 13 through the second port 142 . During detection, a part of the salinity sensor 13 is immersed in the seawater to be detected. Since the optical signal passes through seawater with different salinities, the frequency of the optical signal will change. The second port 142 is transmitted to the third port 143 , and is incident on the photoelectric converter 15 after passing through the third port 143 .

The photoelectric converter 15 performs photoelectric conversion on 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, and the electronic spectrum analyzer interprets the photoelectrically converted signal. The signal is spectrally analyzed to calculate the salinity of the seawater.

However, because the existing seawater salinity detection method only uses a single frequency band signal for detection, for example, the frequency of the optical signal obtained by the electro-optical modulator is often fixed, and the frequency of the optical signal is often different from the radio frequency of the electro-optical modulation. Therefore, if the radio frequency signal is interfered, such as electromagnetic interference, the stability of the electro-optically modulated optical signal will be affected, which will affect the detection of seawater salinity, which may lead to inaccurate detection of seawater salinity.

SUMMARY OF THE INVENTION

The first object of the present invention is to provide a multi-band dual-fiber end-face interference salinity detection method capable of improving the detection accuracy of seawater salinity.

The second object of the present invention is to provide a computer device for realizing the above-mentioned multi-band dual-fiber end-face interference salinity detection method.

The third object of the present invention is to provide a computer-readable storage medium for realizing the above-mentioned multi-band dual-fiber end-face interference salinity detection method.

In order to achieve the above-mentioned first purpose, the multi-band dual-fiber end-face interference salinity detection method provided by the present invention includes acquiring a plurality of wireless signals, the plurality of wireless signals having different frequency bands, and outputting each wireless signal after electro-optical modulation to a The salinity detection sensor, at least a part of the salinity detection sensor is immersed in the seawater to be detected; the returned light signal output by the salinity detection sensor is subjected to photoelectric conversion and then subjected to spectrum analysis, and the spectrum analysis of each wireless signal is obtained and calculated to obtain the to-be-detected The initial salinity value of seawater; the average value of the initial salinity values corresponding to multiple wireless signals is calculated, and the average value is used as the final salinity value of the seawater to be detected.

It can be seen from the above scheme that by obtaining multiple wireless signals of different frequency bands and performing electro-optic modulation, the obtained multiple optical signals of different frequencies pass through the salinity sensor and obtain multiple corresponding initial salinity values respectively, and then, The final salinity value of the seawater to be detected is determined by calculating the average value of a plurality of initial salinity values. It can be seen that the final salinity value obtained by calculation is obtained by calculating the initial salinity value corresponding to the wireless signals of multiple different frequency bands. Even if the wireless signal of a certain frequency band is interfered, the initial salinity corresponding to other frequency bands can still be used. It will not cause the final salinity value to seriously deviate from the real situation, thereby improving the accuracy of seawater salinity detection.

A preferred solution is that acquiring a plurality of wireless signals includes: using a wireless signal transceiving module to acquire a plurality of wireless signals from the air, the wireless signal transceiving module having a plurality of bandpass filters, each bandpass filter corresponding to a frequency band.

In a further solution, the wireless signal acquired by the wireless signal transceiver module is a mobile communication wireless signal.

It can be seen that by acquiring wireless radio frequency signals from the air, especially wireless signals of mobile communication, the acquisition of multiple wireless signals is very simple and convenient, thereby reducing the cost of acquiring multiple wireless signals in different frequency bands.

In a further solution, calculating the average value of the initial salinity values corresponding to the plurality of wireless signals includes: calculating a weighted average value of the initial salinity values corresponding to the plurality of wireless signals.

A further solution is, before calculating the weighted average value, also perform: setting a weighting coefficient corresponding to the initial salinity value corresponding to each wireless signal, and the weighting coefficient of at least one initial salinity value is different from the weighting of another initial salinity value. coefficient.

It can be seen that the weighting coefficients of the initial salinity values corresponding to the unused wireless signals are not the same. In this way, the corresponding weighting coefficients can be flexibly adjusted according to the actual situation of different wireless signals, which is beneficial to accurately calculate the salinity value of seawater.

A further solution is that after acquiring a plurality of wireless signals, the power of each wireless signal is calculated, and the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is positively correlated with the power of the wireless signal.

In this way, the initial salinity value corresponding to the wireless signal with higher power has a higher weighting coefficient, so that the calculation of the seawater salinity value can be based on the wireless signal with higher power, which is beneficial to improve the accuracy of seawater salinity calculation.

In a further solution, if the power of the wireless signal is less than a preset power threshold, the weighting coefficient of the initial salinity value corresponding to the wireless signal is set to zero.

It can be seen that if the power of a wireless signal is too low, the initial salinity value corresponding to the wireless signal is directly discarded, that is, the initial salinity value corresponding to the wireless signal does not need to be used as a factor for the calculation of the final salinity value, so as to avoid any The calculated final salinity value is influenced by the initial salinity value corresponding to the lower power wireless signal.

An optional solution is that the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is a preset fixed value.

In order to achieve the above-mentioned second purpose, the computer device provided by the present invention includes a processor and a memory, and the memory stores a computer program. When the computer program is executed by the processor, each step of the above-mentioned multi-band dual-fiber end face interference salinity detection method is realized.

In order to achieve the above-mentioned third object, the present invention provides a computer-readable storage medium with a computer program stored thereon, and when the computer program is executed by a processor, realizes each step of the above-mentioned multi-band dual-fiber end-face interference salinity detection method.

Description of drawings

FIG. 1 is a structural block diagram of a conventional apparatus for detecting seawater salinity.

2 is a structural block diagram of a seawater salinity detection device used in an embodiment of the multi-band dual-fiber end-face interference salinity detection method of the present invention.

3 is a structural block diagram of the salinity sensor in the seawater salinity detection device used in the embodiment of the multi-band dual-fiber end-face interference salinity detection method of the present invention.

FIG. 4 is a flow chart of an embodiment of the multi-band dual-fiber end-face interference salinity detection method of the present invention.

5 is a flow chart of calculating the final salinity value in the embodiment of the multi-band dual-fiber end face interference salinity detection method of the present invention.

6 is a flow chart of determining the weighting coefficient of initial salinity value in an embodiment of the multi-band dual-fiber end face interference salinity detection method of the present invention.

The present invention will be further described below with reference to the accompanying drawings and embodiments.

Detailed ways

The multi-band double-fiber end-face interference salinity detection method of the present invention is used to detect the salinity of seawater, in particular, a plurality of wireless signals of different frequency bands are obtained from the air as electro-optically modulated radio frequency signals, and a plurality of different frequency bands are formed thereby. The light signal is incident into the salinity sensor with light signals of different frequencies 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 this embodiment uses the seawater salinity detection device shown in FIG. 2 to detect the seawater salinity. The seawater salinity detection device includes a wireless signal transceiver module 20 , a salinity sensor 23 , an optical circulator 24 , and a photoelectric converter. 25 and an electronic spectrum analyzer 26. The wireless signal transceiver module 20 includes a plurality of band-pass filters 21 and 22, and also includes a signal amplifier 27 and a photoelectric straightener 28. Preferably, the frequencies of the wireless signals filtered by each band-pass filter are different, such as band The wireless signal filtered by the pass filter 21 is the wireless signal in the 5G communication frequency band, and the wireless signal filtered by the bandpass filter 22 is the wireless signal in the 4G communication frequency band. Of course, the wireless signal transceiver module 20 can also be provided with more band-pass filters, and other band-pass filters can filter wireless signals in the 3G communication frequency band or wireless signals in the 2G communication frequency band. In addition, the signals output by the plurality of band-pass filters are all received by the signal amplifier 27 .

The signal amplifier 27 amplifies the wireless signals obtained by the band-pass filters 21 and 22 , and outputs the amplified signals to the photoelectric straightener 28 . Preferably, the wireless signal transceiver module 20 is provided with a power detection module for detecting the power of the wireless signals obtained by the band-pass filters 21 and 22 and recording the power of each wireless signal.

The photoelectric straightener 28 receives the amplified wireless signal, and a light source is arranged in the photoelectric straightener 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. Since the wireless signal received from the air by the bandpass filter 21 is a radio frequency signal, the voltage of the light source can be directly adjusted by the radio frequency signal. Or the current is modulated to change the frequency of the output optical signal, so the difficulty of electro-optical modulation can be reduced by using the direct optoelectronic modulation. In addition, since the optical signal is modulated by means of photoelectric direct modulation, no erbium-doped fiber amplifier is required.

Preferably, the wireless signal transceiver module 20 may be implemented by a mobile communication wireless signal transceiver module, for example, a 5G signal transceiver module. For example, the 5G signal transceiver module can be a 5G base station, so that the wireless signal transceiver module 20 can be made small in volume and low in production cost. Compared with using an erbium-doped fiber amplifier, this embodiment can greatly reduce seawater salt The production cost of the salinity detection device can be reduced, and the volume of the seawater salinity detection device can be reduced. In addition, since the 5G signal transceiver module can generally adapt to harsh environments, the wireless signal transceiver module 20 can be installed near the seaside and can be used for a long time.

The optical circulator 24 has three ports, namely the first port 241, the second port 242 and the third port 243. After the optical signal enters the optical circulator 24 from the first port 241, it can only exit from the second port 242. The optical signal incident on the optical circulator 24 from the second port 242 can only be output from the third port 243 and cannot be transmitted in reverse.

The photoelectric direct modulator 28 modulates the optical signal with the radio frequency signal to obtain the input optical signal, and the output end of the photoelectric direct modulator 28 is connected to the first port 241 of the optical circulator 24, therefore, the input optical signal is transmitted from the first port 241 After incident, it exits from the second port 242 . The salinity sensor 23 is connected to the second port 242 of the optical circulator 24 , and thus, the input optical signal is incident to the salinity sensor 23 from the second port 242 .

Referring to FIG. 3, the salinity sensor 23 is provided with an optical fiber 231, an APC connector 232, a first section of physical contact optical fiber 235, a single-mode optical fiber 236, and a second section of physical contact optical fiber 237, wherein the first end of the optical fiber 231 is connected to the optical ring The second port 242 of the runner 24 and the APC connector 232 are arranged on the second end of the optical fiber 23 . Wherein, the outer end surface of the APC joint 232 forms an inclined surface of 8°, that is, the included angle between the outer end surface of the APC joint and the axis is 8°. The first end face 234 of the first section physically contacting the optical fiber 235 is an ordinary PC connector, that is, the end face polished into a microsphere, therefore, the first end face 234 will form a first reflection surface. The second end of the first length of physical contact fiber 235 is an APC connector and is connected to the single-mode fiber 236 . The second section of the physical contact fiber 237 has a second end face 239, the second end face 239 is the free end of the second section of the physical contact fiber 237, and the second end face 239 is also an ordinary PC connector, that is, the end face polished into a microsphere. The two end surfaces 239 will form the second reflecting surface. The other end of the second physical contact fiber 237 is provided with an APC connector, and the APC connector is connected to the single-mode fiber 236 . In addition, the second end face 239 of the second physical contact fiber 237 extends into the accommodating cavity 238, and the accommodating cavity 238 contains seawater to be tested. Preferably, the second end face 239 is completely immersed in the seawater to be tested.

In addition, an accommodation cavity 233 is provided between the APC connector 232 and the first end face 234 of the first section of the optical fiber 231 in physical contact. The accommodation cavity 233 is filled with a reference solution of preset salinity, such as seawater with known salinity. The input optical signal passes through the optical fiber 231 and exits from the APC connector 232 and penetrates the reference solution. A part of the optical signal is reflected on the first end face 234 and incident on the optical fiber 231 to form a first reflected signal. Another part of the input optical signal will pass through the first end face 234 and be incident on the first section of the physical contact fiber 235, and then pass through the single-mode fiber 236 to the second section of the physical contact fiber 237, and reflect on the second end face 239. The second reflected signal passes through the second section of physical contact fiber 237 , the single-mode fiber 236 , and the first section of physical contact fiber 235 in sequence and enters the fiber 231 , and then enters the second port 242 of the optical circulator 24 . Therefore, the first reflected signal and the second reflected signal actually pass through the optical circulator 24 successively, and there is a time difference when the first reflected signal and the second reflected signal pass through the third port 243 of the optical circulator 24 . In this way, a microwave photonic filter is formed at the third port 243 of the optical circulator 24 .

In this embodiment, the length of the single-mode optical fiber 236 is between 1.5 kilometers and 2.5 kilometers. Preferably, the length of the single-mode optical fiber 236 is 2 kilometers, and the first section of the physical contact fiber 235 and the second section of the physical contact are in contact with each other. The lengths of the optical fibers 237 are equal, and neither exceed 5 meters. Preferably, the lengths of the first section of the physical contact optical fiber 235 and the second section of the physical contact optical fiber 237 are both between 2 meters and 3 meters. It can be seen that the length of the single-mode optical fiber 236 is much greater than the lengths of the first section of the physical contact optical fiber 235 and the second section of the physical contact optical fiber 237 .

In this way, in the salinity sensor 23, since the second end face 239 of the second physical contact fiber 237 is completely immersed in the seawater to be detected, there is seawater with known salinity between the first end face 234 and the APC connector 232, so that, The first reflected signal and the second reflected signal form microwave interference at the third port 243 of the optical circulator 24 . According to the principle of microwave interference, only the optical signal of a specific wavelength can pass through the microwave interferometer. Therefore, in the interference signal formed by the first reflected signal and the second reflected signal, only the optical signal of the specific wavelength is transmitted from the third port of the optical circulator 24 243 outputs, the output optical signal is received by the photoelectric converter 25, and the photoelectric converter 25 performs photoelectric conversion on the received optical signal, and converts the optical signal into an electrical signal to form a measurement electrical signal. The photoelectric converter 25 outputs the measured electrical signal to the electronic spectrum analyzer 26, and the electronic spectrum analyzer 26 performs spectrum analysis on the measured electrical signal after photoelectric conversion, and then calculates the salinity of the seawater to be detected.

Specifically, the electronic spectrum P(2πf _m ) corresponding to the optical signal at the third port 243 of the optical circulator 24 analyzed by the electronic spectrum analyzer 26 satisfies the following formula:

In formula 1, f _m is the microwave frequency, and R ₁ is the reflection coefficient at the first end face 234 after the optical signal passes through the seawater of known salinity between the first end face 234 and the APC joint 232, due to the salinity of the reference solution. is known, so the reflection coefficient R1 is also _a known coefficient. R ₂ is the reflection coefficient of the optical signal at the second end face 239 of the second section of the optical fiber 237 in physical contact, and the reflection coefficient is related to the salinity of the seawater to be detected. And A(λ) represents the output spectrum after passing through the photoelectric straightener 28, so 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 reflected on the first end face 234 , and A(λ(1-R 1 )α 2 R 2 Spectra behind and transmitted by one end face 234 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 first The time delay between the reflected signal and the second reflected signal is the sum of the time when the first reflected signal reaches the third port 234 of the optical circulator 24 and the time when the second reflected signal reaches the third port 234 of the optical circulator 24 The difference between . Specifically, τ(λ) can be expressed by the following formula:

τ(λ)=n _g (λ)2L/c (Equation 2)

where n _g (λ) is the group velocity distribution in the spectral range [λ1, λ2], L is the fiber length between the first end face 234 and the second end face 239, and c is the speed of light in vacuum. According to the mean value theorem of integrals, in the spectral range of [λ1, λ2], the second term of Equation 1 can be reduced to the following equation:

where λ0 is the middle value of the spectral range [λ1, λ2].

Since the first term of Equation 1 has nothing to do with the microwave frequency f _m , at the microwave frequency f _mr , if the condition of 2πf _mr τ(λ ₀ )=(2n-1)π is satisfied, the electronic spectrum P(2πf) can be obtained _m ), where n is an integer. Combining Equation 1 to Equation 3, the minimum value of the electronic spectrum P(2πf _m ) can be expressed as:

Since the reflection coefficient R ₂ is a coefficient related to the salinity of the seawater to be detected, it can be expressed as the following formula according to the Fresnel reflection law:

R ₂ (S)=(n _silica -n _water (S)) ² /(n _silica +n _water (S)) ² (Formula 5)

where n _silica and n _water are the refractive indices of the light beam propagating in the fiber and seawater, respectively, and the relationship between the refractive index n _silica and the salinity S of the light beam propagating in the fiber can be expressed as:

n _water (S)=n _water0 +k ₂ S (Equation 6)

Wherein, k ₂ is a preset constant, for example, the value can be 1.779×10 ^-4 , and n _water0 is the refractive index of the light beam propagating in pure water. Therefore, combining Equation 4 to Equation 6, the minimum R _f power at the microwave frequency f _mr can be derived as follows:

in,

的值。因此，可以通过测量微波频率f_mr处的最小功率R_f的功率差来检测海水盐度的变化。根据上述的公式7至公式10，海水盐度数值随微波频率的变化理论上不是线性的，其关键指标为传感灵敏度Q₁和二阶非线性项Q₁，可拟合为原始数据在实验中加入噪声后的测量结果。为了评估盐度检测装置的线性度，理论上可以计算参数|Q₂/Q₁|：When the salinity of the seawater to be detected changes, the reflection coefficient R ₂ will also change accordingly, thereby changing the electronic spectrum

value of . Therefore, changes in seawater salinity can be detected by measuring the power difference of the minimum power R _f at the microwave frequency f _mr . According to the above formulas 7 to 10, the change of seawater salinity value with microwave frequency is not linear in theory, and its key indicators are the sensing sensitivity Q ₁ and the second-order nonlinear term Q ₁ , which can be fitted to the original data in the experiment. Measured results after adding noise. To evaluate the linearity of the salinity detection device, the parameter |Q ₂ /Q ₁ | can be calculated theoretically:

|Q ₂ /Q ₁ |=k ₂ /(2(n _silica -n _water0 )) (Formula 11)

It can be seen that, for the seawater to be detected with different salinities, the numerical value of the electronic spectrum P(2πf _m ) detected by the electronic spectrum analyzer 26 is also different, so the numerical value of the electronic spectrum obtained according to the electronic spectrum analyzer 26 can be calculated. The salinity of the seawater to be tested.

In practical application, the resolution of the electronic spectrum analyzer is preset. If the frequency band targeted by the bandpass filter is the 5G frequency band, the frequency scanning range of the electronic spectrum analysis is set to 3.48GHz to 3.52GHz. In addition, the salinity of the reference solution disposed between the first end face 234 and the APC joint 232 is used as a reference value to form a deep notch filter of the microwave photonic filter. Preferably, the depth of the deep notch filter is greater than 10 dB. The depth of the microwave photonic filter is defined as the difference between the maximum and minimum values of the RF response curve.

The specific steps of the method for detecting the salinity of double-fiber end-face interference based on microwave photon signals are described below with reference to FIG. 4 . First, step S1 is performed, using the wireless signal transceiver module to obtain multiple wireless signals from the air, and the multiple wireless signals are wireless signals of mobile communication. Specifically, the multiple wireless signals are 2G signals, 3G signals, 4G signals or 5G signals respectively. signal etc. Moreover, after acquiring each wireless signal, the power of each wireless signal is also detected and calculated, and the data of each wireless signal is recorded at the same time.

Then, step S2 is performed to amplify the acquired wireless signal, for example, a signal amplifier is used to amplify the received wireless signal, and the amplified signal is subjected to direct electro-optic modulation. Preferably, the wireless signal transceiver module is provided with a photoelectric direct regulator, and the photoelectric direct regulator is provided with a light source, such as a light-emitting diode or a laser, and the amplified radio frequency signal is used to directly modulate the voltage or current of the light source, thereby changing the optical signal's voltage or current. frequency, and the optical signal output by the photoelectric straight modulator is the input optical signal in this embodiment.

Next, step S3 is performed, the input optical signal obtained by electro-optical modulation is sent to the first port of the optical circulator, and 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 sent from the second port The port is incident on the salinity sensor. The input optical signal forms a first reflected signal on the first end face of the first section of the salinity sensor that physically contacts the optical fiber, and forms a second reflected signal on the second end face of the second section of the optical fiber that physically contacts, because the second reflected signal needs After passing through a long single-mode fiber, the first reflected signal first passes through the second port of the optical circulator and exits from the third port, while the second reflected signal is later than the first reflected signal from the second port, the third port of the optical circulator. Three ports are emitted, therefore, 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, the return optical signal emitted from the third port of the optical circulator is received by the photoelectric converter, and the photoelectric converter modulates the return optical signal to obtain the measurement electrical signal. Next, step S6 is performed, and the measured electrical signal is sent to the electronic spectrum analyzer, and the electronic spectrum analyzer calculates the spectrum information of the electrical signal. Since multiple wireless signals are acquired in step S1, each wireless signal can directly modulate the light source to form optical signals of different frequencies, and after the multiple optical signals pass through the salinity sensor, multiple returned optical signals can be obtained. Therefore, the electronic spectrum The analyzer can calculate the salinity value corresponding to each wireless signal, which is called the initial salinity value, that is, a wireless signal corresponds to an initial salinity value.

Finally, step S7 is performed to calculate the final salinity value of the seawater to be detected according to the plurality of initial salinity values. For example, the weighted average calculation of the plurality of initial salinity values is performed, and the calculated result is the final salinity value. Further, weighting coefficients corresponding to a plurality of different initial salinity values can be set, that is, the weighting coefficients corresponding to the initial salinity values corresponding to each wireless signal are preset, and the weighting coefficients of at least one initial salinity value are different from another. A weighting factor for the initial salinity value.

The following describes the process of calculating the final salinity value with reference to Figure 5. First, step S11 is performed to obtain the power of each wireless signal, that is, the power of each wireless signal recorded in step S1 is obtained. Preferably, the wireless signal transceiver module records the power of each wireless signal, and after the electronic spectrum analyzer calculates each initial salinity value, calculates and obtains the power of the wireless signal corresponding to each initial salinity value, that is, executes step S12 .

Then, step S13 is performed, and the weighting coefficient of each initial salinity value is determined according to 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, if the power of the wireless signal is larger, the weighting coefficient corresponding to the initial salinity value of the wireless signal is positively correlated. The larger the value is, the smaller the power of the wireless signal is, the smaller the weighting coefficient of the initial salinity value corresponding to the wireless signal is. Further, if the power of a certain 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. In this way, for a wireless signal with too low power, when calculating the final salinity value, the initial salinity value corresponding to the wireless signal is directly discarded.

Since the powers of different wireless signals are usually different, the weighting coefficients of multiple wireless signals are often different, that is, the weighting coefficient of the initial salinity value corresponding to at least one wireless signal is different from the initial salinity value corresponding to another wireless signal weighting factor.

Finally, step S14 is performed to calculate the final salinity value by using the multiple initial salinity values and the corresponding weighting coefficients, for example, multiplying each initial salinity value by the corresponding weighting coefficient, and then obtaining the weighted average value as the final salinity value . In this way, the calculation of the final salinity value of seawater uses optical signals modulated by a plurality of wireless signals as the detection basis, which can improve the detection accuracy of seawater salinity. For example, assuming that the wireless signal of a certain frequency band is interfered, and the wireless signal power of this frequency band is low, when calculating the final salinity value, the weighting coefficient of the initial salinity value corresponding to the wireless signal is small, that is, the wireless signal corresponds to The proportion of the initial salinity value in the final salinity value is small, and the influence on the calculation of the final salinity value is also small.

Optionally, this embodiment can also exclude obviously abnormal initial salinity values. Referring to FIG. 6 , when excluding obviously abnormal initial salinity values, step S21 is first performed to obtain the initial salinity value corresponding to each wireless signal, and then step S22 is performed to calculate the average value of multiple initial salinity values, that is, multiple initial salinity values. The initial salinity values are added and divided by the number of initial salinity values. Next, step S23 is performed to determine whether the difference between the current initial salinity value and the average value of the salinity value is greater than a preset threshold, and if so, it is determined that the wireless signal corresponding to the initial salinity value has received strong interference As a result, the calculated initial salinity value obviously deviates from the real data. Therefore, step S24 is executed to set the weighting coefficient of the current initial salinity value to zero, so that when calculating the final salinity value, the wireless signal is directly discarded. The corresponding initial salinity value.

If the judgment result of step S23 is no, it means that the current initial salinity value is not strongly interfered, then step S25 is executed, and the weighting coefficient corresponding to the initial salinity value is determined according to the power of the wireless signal. Preferably, the sum of the weighting coefficients corresponding to all initial salinity values is 1.

Of course, in an optional solution, the weighting coefficient of the initial salinity values corresponding to the multiple wireless signals may be a fixed value.

It can be seen that, corresponding to an obviously abnormal initial salinity value, this embodiment excludes the initial salinity value by setting its weighting coefficient to zero, thereby ensuring that the calculated final salinity value can reflect the real situation of seawater salinity.

In this embodiment, since the first reflection signal and the second reflection signal formed at the end face of the optical fiber physically contact with the two sections of the salinity sensor constitute microwave photon interference, it is actually a double end face optical signal interference detection method. Compared with the traditional seawater salinity measurement method based on spectral measurement, the present embodiment can measure the salinity value of seawater by advancing the minimum value of the radio frequency response curve of microwave photon interference. It can be seen from the experiments that when the salinity of seawater is in the range of 30.0‰～35.5‰, the sensitivity of salinity detection is high, and it has good linearity and stability.

In addition, since the wireless signal is obtained from the air in this embodiment, the voltage or current of the light source is directly modulated by the wireless signal to change the frequency of the optical signal, so that an erbium-doped fiber amplifier does not need to be used to generate the optical signal. Due to the low production cost and small size of the wireless signal transceiver module, the production cost of the seawater salinity detection device can be greatly reduced, and the volume of the entire device can be reduced, which can facilitate the detection of seawater salinity outdoors.

Moreover, by acquiring multiple wireless signals of different frequency bands and performing electro-optic modulation respectively to obtain multiple optical signals of different frequencies, the multiple optical signals of different frequencies pass through the salinity sensor and obtain multiple corresponding initial salinities respectively. Then, the final salinity value of the seawater to be detected is determined by calculating the average value of a plurality of initial salinity values. Therefore, even if the wireless signal of a certain frequency band is interfered, the final salinity value will not be seriously deviated from the real situation, thereby improving the accuracy of seawater salinity detection.

Examples of computer devices:

The computer device of this embodiment is an electronic device with data processing capability. The computer device includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the above-mentioned multi-band is realized. The individual steps of the double-fiber end-face interference salinity detection method.

For example, a computer program may be divided into one or more modules, which are stored in a memory and executed by a processor to implement the various modules of the present invention. One or more modules may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process 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), and may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC) , Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

The memory can be used to store computer programs and/or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a stored program area and a stored data area, wherein the stored 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 mobile phone. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory such as hard disk, internal memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card , a flash memory card (FlashCard), at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

Computer-readable storage medium embodiments:

If the computer program stored in the above-mentioned computer device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When executed by the processor, each step of the above-mentioned multi-band dual-fiber end-face interference salinity detection method can be realized.

Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate forms, and the like. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in computer-readable media may be appropriately increased or decreased in accordance with the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include Electrical carrier signals and telecommunication signals.

Finally, it should be emphasized that the above are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications, all within the spirit and principle of the present invention. Any modification, equivalent replacement, improvement, etc. made within the scope of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A method for detecting the end surface interference salinity of a multiband dual-optical fiber is characterized by comprising the following steps:

acquiring a plurality of wireless signals, wherein the wireless signals have different frequency bands, performing electro-optical modulation on each wireless signal and outputting the wireless signal 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 return light signals output by the salinity detection sensor, and performing spectral analysis to obtain an initial salinity value of the seawater to be detected, which is obtained by calculating after spectral analysis of each wireless signal;

and calculating the average value of the initial salinity values corresponding to the plurality of wireless signals, and using the average value as the final salinity value of the seawater to be detected.

2. The multiband double-optical-fiber end face interference salinity detection method according to claim 1, characterized in that:

acquiring a plurality of wireless signals includes: a plurality of wireless signals are acquired from the air by using a wireless signal transceiver module which is provided with a plurality of band-pass filters, and each band-pass filter corresponds to a frequency band.

3. The multiband double-optical-fiber end face interference salinity detection method according to claim 2, characterized in that:

the wireless signal acquired by the wireless signal transceiver module is a mobile communication wireless signal.

4. The multiband double-optical-fiber end face interference salinity detection method according to any one of claims 1 to 3, characterized in that:

calculating an average of the initial salinity values for a plurality of the wireless signals comprises: and calculating the weighted average value of the initial salinity values corresponding to the plurality of wireless signals.

5. The multiband double-optical-fiber end face interference salinity detection method of claim 4, wherein:

before calculating the weighted average, further executing: and setting weighting coefficients corresponding to the initial salinity values corresponding to each wireless signal, wherein the weighting coefficient of at least one initial salinity value is different from the weighting coefficient of another initial salinity value.

6. The multiband double-optical-fiber end face interference salinity detection method of claim 5, characterized in that:

after a plurality of wireless signals are acquired, the power of each wireless signal is calculated, and 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 double-optical-fiber end face interference salinity detection method of claim 6, wherein:

and if the power of the wireless signal is smaller than the preset power threshold, setting the weighting coefficient of the initial salinity value corresponding to the wireless signal to be zero.

8. The multiband double-optical-fiber end face interference salinity detection method of claim 5, characterized in that:

and the weighting coefficient corresponding to the initial salinity value corresponding to the wireless signal is a preset fixed value.

9. Computer arrangement, characterized in that it comprises a processor and a memory, said memory storing a computer program that when executed by the processor implements the steps of the method for multiband dual-fiber end face interference salinity detection according to any of the claims 1 to 8.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor to realize the steps of the multiband double-optical-fiber end face interference salinity detection method according to any one of claims 1 to 8.

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