All-optical convolution calculation system based on multi-core optical fiber

Abstract

The invention belongs to the technical field of optical information calculation, and particularly relates to an all-optical convolution calculation system based on a multi-core optical fiber, which comprises an optical pulse source modulation module, an image input module, a multi-core optical fiber convolution kernel module and an optical accumulation module, the optical pulse source modulation module, the image input module, the multi-core optical fiber convolution kernel module and the optical accumulation module are in communication connection; the optical pulse source modulation module sends out optical pulses to the multi-core optical fiber convolution kernel module to program a convolution kernel, image pixels are sequentially input into the image input module and then enter the multi-core optical fiber convolution kernel module, the convolution kernel performs weighted multiplication on each pixel in the image input module, and then the pixels are added through the optical accumulation module. The multi-core optical fiber is adopted as the substrate, signals transmitted in the fiber cores of the multi-core optical fiber do not interfere with one another, and the multi-core optical fiber can be used for severe environment conditions such as electromagnetic interference and extreme temperature; in addition, the device can be directly coupled with an existing optical communication network and has no alignment problem.

Description

Technical Field

[0001] The present invention belongs to the technical field of optical information computing, and in particular relates to an all-optical convolution computing system based on multi-core optical fiber. Background Art

[0002] The all-optical convolutional neural network (CPNN) architecture based on optical convolution kernels usually has fixed weights, does not require real-time updates, and can easily and passively perform weighted multiplication and accumulation through phase modulation or wavelength division multiplexing. Once the weights of the all-optical convolutional neural network (CPNN) are set, the latency of the network is only limited by the speed of light and the final optoelectronic conversion output. Compared with traditional electrical convolutional neural networks, the all-optical convolutional neural network (CPNN) has the advantages of high modulation rate, low power consumption and large channel parallel capability. In the all-optical convolutional neural network (CPNN), the input signal is individually weighted by nodes with different weights. Multiple nodes can form a convolution kernel, which can be designed with various weights to calculate the input image, such as extracting edge features, filtering and sharpening.

[0003] The present invention provides an all-optical convolution computing system based on a multi-core optical fiber. A non-volatile phase change material film layer and an anti-oxidation film layer are sequentially deposited on the multi-core optical fiber to construct a convolution kernel. Laser pulses of different powers are injected into each fiber core to change the state of the phase change material film layer, i.e., programming the convolution kernel. The different refractive indices and absorption coefficients of the phase change materials in different phases result in different degrees of weighted multiplication of the light passing through, which is then accumulated through an optical fiber coupler to realize all-optical convolution computing. Summary of the invention

[0004] The purpose of the present invention is to provide an all-optical convolution computing system based on multi-core optical fiber, in which a non-volatile phase change material film layer and an anti-oxidation film layer are sequentially deposited on the multi-core optical fiber to construct a convolution kernel; laser pulses of different powers are injected into each fiber core to change the state of the phase change material film layer, i.e., programming the convolution kernel; the different refractive indices and absorption coefficients of the phase change materials in different phases result in different degrees of weighted multiplication of the light passing through, which is then accumulated through an optical fiber coupler to realize all-optical convolution computing.

[0005] The technical solution adopted by the present invention is as follows:

[0006] An all-optical convolution computing system based on multi-core optical fiber includes an optical pulse source modulation module, an image input module, a multi-core optical fiber convolution kernel module and an optical accumulation module, wherein the optical pulse source modulation module, the image input module, the multi-core optical fiber convolution kernel module and the optical accumulation module are communicatively connected.

[0007] Preferably, the optical pulse source modulation module includes a pulse laser; the three pulse lasers program the convolution kernel in the multi-core optical fiber convolution kernel module by emitting pulse sequences of different powers.

[0008] Preferably, the power of the optical pulses emitted by the three pulse lasers is adjustable, and the power corresponds one-to-one to the weight of the convolution kernel in the multi-core optical fiber convolution kernel module.

[0009] Preferably, the image input module comprises a broadband light source, an n-channel demultiplexer, an adjustable attenuator, a 2×2 fiber coupler, a fiber isolator, an n-channel optical wavelength division multiplexer and a multi-core fiber fan-in unit.

[0010] Preferably, the n-channel demultiplexer is capable of decomposing the mixed optical signal output by the wide-spectrum light source into multi-channel optical wavelength signals, and its n output ports correspond to output n different wavelengths, and the number of ports n is the same as the number of the three pulse lasers, the three adjustable attenuators and the three 2×2 optical fiber couplers;

[0011] The two input ports of the three 2×2 fiber couplers are respectively connected to the three pulse lasers and the three adjustable attenuators;

[0012] One output port of the three 2×2 optical fiber couplers is directly connected to the multi-core optical fiber fan-in unit, and the other output port is respectively connected to the three first optical fiber isolators and then coupled by the first n-channel optical wavelength division multiplexer and then input into the multi-core optical fiber fan-in unit for use as a reference path;

[0013] The first n-channel optical wavelength division multiplexer is capable of multiplexing n-channel optical wavelength signals into one channel for propagation, and the wavelength and number n correspond to the n-channel demultiplexer;

[0014] The input channels of the multi-core fiber fan-in unit correspond one-to-one to the cores of the multi-core fiber convolution core module;

[0015] The three first optical fiber isolators only allow light to pass in one direction.

[0016] Preferably, the multi-core optical fiber convolution core module includes four multi-core optical fiber convolution cores of a multi-core optical fiber, and each of the multi-core optical fiber convolution cores includes a fiber core, a phase change material film layer and an anti-oxidation film layer;

[0017] The phase change material film layer is a sulfur compound;

[0018] The phase change material film layer has at least two phases that can be adjusted by light pulses;

[0019] The material of the anti-oxidation film is indium tin oxide.

[0020] Preferably, the optical accumulation module includes a multi-core optical fiber fan-out unit, three second optical fiber isolators, a second n-channel optical wavelength division multiplexer, a photoelectric balance detector, a data acquisition card, and a host computer;

[0021] The output channels of the multi-core fiber fan-out unit correspond one-to-one to the cores of the multi-core fiber convolution core module.

[0022] Preferably, the optical fiber isolator only allows light to pass in one direction;

[0023] The number of ports n of the second n-channel optical wavelength division multiplexer is one less than the number of output channels of the multi-core optical fiber fan-out unit;

[0024] The photoelectric balance detector has a positive input port and a negative input port, and the output value of the photoelectric balance detector depends on the difference between the light intensity input at the positive input port and the light intensity at the negative input port;

[0025] The positive input port of the photoelectric balanced detector is connected to the output end of the second n-channel optical wavelength division multiplexer;

[0026] The negative input port of the photoelectric balanced detector is connected to the output end of the multi-core fiber fan-out unit corresponding to the core of the multi-core fiber convolution core module input by the first n-channel optical wavelength division multiplexer in the image input module;

[0027] The photoelectric balance detector converts the input optical signal into an electrical signal and transmits it to the data acquisition card, which transmits the data to the host computer for monitoring and display.

[0028] The host computer interacts with the data acquisition card.

[0029] The technical effects achieved by the present invention are:

[0030] 1. The part of the present invention that performs convolution calculations is completely based on optical methods, so it has the transmission speed of light waves, which is much faster than the convolution calculation scheme based on electricity. The large bandwidth of lasers allows light waves to carry more information for parallel convolution calculations.

[0031] 2. The convolution kernel in the present invention uses non-volatile phase change materials, so no additional energy is required to maintain the state when performing the convolution operation, and there is zero power loss;

[0032] 3. The substrate of the present invention adopts multi-core optical fiber, and the signals transmitted in the cores will not interfere with each other, and can be used in harsh environmental conditions such as electromagnetic interference and extreme temperature; in addition, it can be directly coupled with the existing optical communication network without alignment problems.

[0033] 4. Convolution kernel is constructed by sequentially depositing non-volatile phase change material film layers and anti-oxidation film layers on multi-core optical fiber. Laser pulses of different powers are injected into each fiber core to change the state of the phase change material film layer, i.e. programming the convolution kernel. The different refractive indices and absorption coefficients of phase change materials in different phases result in different degrees of weighted multiplication of the passing light, which is then accumulated through the optical fiber coupler to realize all-optical convolution calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic diagram of an all-optical convolution calculation solution based on multi-core optical fiber provided by the present invention;

[0035] Figure 2 Schematic diagram of an all-optical convolution calculation example based on multi-core optical fiber provided by the present invention.

[0036] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0037] 1. Optical pulse source modulation module; 2. Image input module; 3. Multi-core fiber convolution kernel module; 4. Optical accumulation module; 101. Pulse laser; 102. Pulse laser; 103. Pulse laser; 201. Broad spectrum light source; 202. n-channel demultiplexer; 203. Adjustable attenuator; 204. Adjustable attenuator; 205. Adjustable attenuator; 206. 2×2 fiber coupler; 207. 2×2 fiber coupler; 208. 2×2 fiber coupler; 209. Fiber isolator; 210. Fiber isolator; 211. Fiber isolator; 212. An n-channel optical wavelength division multiplexer; 213, multi-core fiber fan-in unit; 301, multi-core fiber convolution kernel; 302, multi-core fiber convolution kernel; 303, multi-core fiber convolution kernel; 304, multi-core fiber convolution kernel; 3011, fiber core; 3012, phase change material film layer; 3013, anti-oxidation film layer; 401, multi-core fiber fan-out unit; 402, second optical fiber isolator; 403, second optical fiber isolator; 404, second optical fiber isolator; 405, second n-channel optical wavelength division multiplexer; 406, photoelectric balance detector; 407, data acquisition card; 408, host computer. DETAILED DESCRIPTION

[0038] In order to make the purpose and advantages of the present invention more clearly understood, the present invention is specifically described below in conjunction with embodiments. It should be understood that the following text is only used to describe one or several specific embodiments of the present invention, and does not strictly limit the scope of protection of the specific claims of the present invention.

[0039] like Figure 1As shown, an all-optical convolution computing system based on multi-core optical fiber includes an optical pulse source modulation module 1, an image input module 2, a multi-core optical fiber convolution kernel module 3 and an optical accumulation module 4. The optical pulse source modulation module 1, the image input module 2, the multi-core optical fiber convolution kernel module 3 and the optical accumulation module 4 are communicatively connected.

[0040] The optical pulse source modulation module 1 sends an optical pulse to the multi-core optical fiber convolution kernel module 3 to program the convolution kernel. The image pixels are input into the image input module 2 in turn and then enter the multi-core optical fiber convolution kernel module 3. The convolution kernel performs weighted multiplication on each pixel in the image input module 2, and then adds them through the optical accumulation module 4.

[0041] Among them, the optical pulse source modulation module 1 includes pulse lasers 101, 102, and 103; the three pulse lasers 101, 102, and 103 program the convolution kernel in the multi-core optical fiber convolution kernel module 3 by emitting pulse sequences of different powers.

[0042] Among them, the power of the optical pulses emitted by the three pulse lasers 101, 102, and 103 is adjustable, and the power corresponds to the weight of the convolution kernel in the multi-core optical fiber convolution kernel module 3 one by one.

[0043] The image input module 2 includes a broadband light source 201 , an n-channel demultiplexer 202 , adjustable attenuators 203 , 204 , 205 , 2×2 fiber couplers 206 , 207 , 208 , fiber isolators 209 , 210 , 211 , a first n-channel optical wavelength division multiplexer 212 , and a multi-core fiber fan-in unit 213 .

[0044] A wide spectrum light source 201, an n-channel demultiplexer 202, and adjustable attenuators 203, 204, 205 are used to convert image pixel information into light intensity information, and the image pixel size corresponds to the light intensity;

[0045] Specifically, the broadband light output by the broadband light source 201 is divided into n signal lights of different wavelength bands by the n-channel demultiplexer 202, and the light intensity is attenuated to different degrees by the adjustable attenuators 203, 204, 205;

[0046] The attenuation strength of the adjustable attenuators 203, 204, 205 is controlled by the host computer 408, and the degree of attenuation of light depends on the pixel size of the calculated image.

[0047] The n-channel demultiplexer 202 is capable of decomposing the mixed optical signal output by the wide-spectrum light source 201 into multi-path optical wavelength signals, and its n output ports correspond to outputting n different wavelengths, and the number of ports n is the same as the number of the three pulse lasers 101, 102, 103, the three adjustable attenuators 203, 204, 205, and the three 2×2 fiber couplers 206, 207, 208;

[0048] Two input ports of three 2×2 fiber couplers 206 , 207 , 208 are connected to three pulse lasers 101 , 102 , 103 and three adjustable attenuators 203 , 204 , 205 , respectively;

[0049] One output port of the three 2×2 fiber couplers 206, 207, 208 is directly connected to the multi-core fiber fan-in unit 213, and the other output ports are respectively connected to the three first fiber isolators 209, 210, 211 and then coupled by the first n-channel optical wavelength division multiplexer 212 and then input to the multi-core fiber fan-in unit 213 for use as a reference path;

[0050] The first n-channel optical wavelength division multiplexer 212 is capable of multiplexing n-channel optical wavelength signals into one channel for propagation, and the wavelength and number n correspond to the n-channel demultiplexer 202;

[0051] The input channels of the multi-core fiber fan-in unit 213 correspond one-to-one to the cores of the multi-core fiber convolution core module 3, which is described in detail as one of the input channels of the multi-core fiber fan-in unit 213 passes through only one core of the multi-core fiber convolution core module 3;

[0052] The three first optical fiber isolators 209, 210, 211 allow light to pass only in one direction.

[0053] Among them, the multi-core optical fiber convolution core module 3 includes four multi-core optical fiber convolution cores 301, 302, 303, 304 of the multi-core optical fiber, and each multi-core optical fiber convolution core 301, 302, 303, 304 includes a core, a phase change material film layer and an anti-oxidation film layer;

[0054] For example, the multi-core optical fiber convolution core 301 includes a fiber core 3011, a phase change material film layer 3012, and an anti-oxidation film layer 3013;

[0055] The number of multi-core fiber convolution kernels 301, 302, 303, 304 is one more than the number of ports n of the first n-channel optical wavelength division multiplexer 212;

[0056] n of the multi-core optical fiber convolution kernels 301, 302, 303, and 304 are used as convolution kernels, and the weighted state of the remaining convolution kernel is fixed to an intermediate state as a reference optical path;

[0057] The phase change material film layer 3012 is a chalcogenide compound, containing at least two or more elements of Ge, Sb, and Te, such as germanium antimony tellurium alloy Ge2Sb2Te5, germanium antimony selenium tellurium alloy Gs2Sb2Se4Te1, etc.;

[0058] The phase change material film layer 3012 has at least two phases that can be adjusted by light pulses, namely, a crystalline state and an amorphous state, and there is an intermediate state between the crystalline state and the amorphous state. The refractive index and light absorption rate of different phases are different, which results in that when the multi-core optical fiber convolution kernel 301, 302, 303, 304 is in the crystalline state, the weighting coefficient is small, that is, the transmittance to light is low, and when the multi-core optical fiber convolution kernel 301, 302, 303, 304 is in the amorphous state, the weighting coefficient is large, that is, the transmittance to light is high;

[0059] The phase change material film layer 3012 is combined with the optical fiber by radio frequency magnetron sputtering, and the thickness of the sputtered phase change material film layer 3012 is controlled by setting the voltage, argon concentration, and sputtering time during sputtering;

[0060] When the film layer position of the phase change material film layer 3012 is within 0.5 μm from the fiber core 3011, the modulation effect of the optical pulse in the fiber core is the best, that is, the energy of the optical pulse regulates the state of the phase change material film layer 3012 by means of evanescent field coupling;

[0061] The material of the anti-oxidation film 3013 is indium tin oxide ITO, which prevents the optical phase change material film layer 3012 from being oxidized by air;

[0062] The anti-oxidation film 3013 is deposited on the phase change material film layer 3012 by radio frequency magnetron sputtering;

[0063] The weight states of the multi-core optical fiber convolution kernels 301, 302, 303, and 304 are adjusted by light pulses, and the weighting coefficient is the smallest and the transmittance to light is the lowest when the phase change material film layer 3012 is in a completely crystalline state, and the weighting coefficient is the largest and the transmittance to light is the highest when the phase change material film layer 3012 is in a completely amorphous state.

[0064] The optical accumulation module 4 includes a multi-core optical fiber fan-out unit 401, three second optical fiber isolators 402, 403, 404, a second n-channel optical wavelength division multiplexer 405, a photoelectric balance detector 406, a data acquisition card 407, and a host computer 408;

[0065] The output channels of the multi-core fiber fan-out unit 401 correspond one-to-one to the cores of the multi-core fiber convolution core module 3, and are described in detail as one of the output channels of the multi-core fiber fan-out unit 401 only outputs the optical signal in one core of the multi-core fiber convolution core module 3.

[0066] Among them, the optical fiber isolators 402, 403, and 404 only allow light to pass in one direction;

[0067] The number of ports n of the second n-channel optical wavelength division multiplexer 405 is one less than the number of output channels of the multi-core fiber fan-out unit 401;

[0068] The second n-channel optical wavelength division multiplexer 405 is used to accumulate the weighted detection light intensities of the n convolution kernels in the multi-core optical fiber convolution kernel module 3;

[0069] The photoelectric balance detector 406 has a positive input port and a negative input port, and the output value of the photoelectric balance detector 406 depends on the difference between the light intensity input at the positive input port and the light intensity at the negative input port;

[0070] The positive input port of the photoelectric balanced detector 406 is connected to the total light intensity output by the second n-channel optical wavelength division multiplexer 405;

[0071] The negative input port of the photoelectric balance detector 406 is connected to the output end of the multi-core fiber fan-out unit 401 corresponding to the core of the multi-core fiber convolution kernel module 3, which is input from the multi-core fiber fan-in unit 213 in the image input module 2;

[0072] The photoelectric balance detector 406 converts the input optical signal into an electrical signal and transmits it to the data acquisition card 407, which transmits the data to the host computer 408 for monitoring and display.

[0073] The host computer 408 interacts with the data acquisition card 407, programs the functions of the data acquisition card 407, and obtains the data transmitted by the data acquisition card 407;

[0074] The host computer 408 can display the pixels of the image and control the attenuation degree of the adjustable attenuators 203, 204, 205 of the image input module 2 according to the pixel values. The number of pixels in each time step is consistent with the number of adjustable attenuators 203, 204, 205.

[0075] The working principle of the present invention is: for example, a constructed all-optical convolution calculation scheme based on a multi-core optical fiber is used to implement a convolution calculation on a handwritten character "7" to extract edge features.

[0076] like Figure 2As shown in the figure, it is a schematic diagram of the example of extracting the "bottom", "top", "right" and "left" edge features of the handwritten character "7" by convolution calculation; a five-core optical fiber is selected for demonstration, one of the cores is used for the reference path, the phase change material near it is pre-modulated to an intermediate state, and the remaining four cores are used as convolution kernels to form a 2×2 matrix; the pulse laser of the optical pulse source modulation module 1 is controlled to emit pulse sequences of different powers to program the 2×2 convolution kernel in the five-core optical fiber convolution kernel module 3; the high-energy pulse emitted by the pulse laser can modulate the convolution kernel to a high-weight state 1, and the low-energy pulse energy It is enough to modulate the convolution kernel to a low weight state (0); to extract the "lower" edge feature of the handwritten character "7", the state of the 2×2 convolution kernel needs to be modulated to "00; 11"; to extract the "upper" edge feature of the handwritten character "7", the state of the 2×2 convolution kernel needs to be modulated to "11; 00"; to extract the "right" edge feature of the handwritten character "7", the state of the 2×2 convolution kernel needs to be modulated to "01; 01"; to extract the "left" edge feature of the handwritten character "7", the state of the 2×2 convolution kernel needs to be modulated to "10; 10".

[0077] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. An all-optical convolution computing system based on multi-core optical fiber, characterized in that: It comprises an optical pulse source modulation module (1), an image input module (2), a multi-core optical fiber convolution kernel module (3) and an optical accumulation module (4), wherein the optical pulse source modulation module (1), the image input module (2), the multi-core optical fiber convolution kernel module (3) and the optical accumulation module (4) are communicatively connected.

2. The all-optical convolution computing system based on multi-core optical fiber according to claim 1, characterized in that: The optical pulse source modulation module (1) comprises pulse lasers (101, 102, 103); the three pulse lasers (101, 102, 103) program the convolution kernel in the multi-core optical fiber convolution kernel module (3) by emitting pulse sequences of different powers.

3. The all-optical convolution computing system based on multi-core optical fiber according to claim 2, characterized in that: The power of the optical pulses emitted by the three pulse lasers (101, 102, 103) is adjustable, and the power corresponds to the weight of the convolution kernel in the multi-core optical fiber convolution kernel module (3) one by one.

4. The all-optical convolution computing system based on multi-core optical fiber according to claim 3, characterized in that: The image input module (2) comprises a wide-spectrum light source (201), an n-channel demultiplexer (202), an adjustable attenuator (203, 204, 205), a 2×2 optical fiber coupler (206, 207, 208), a first optical fiber isolator (209, 210, 211), a first n-channel optical wavelength division multiplexer (212), and a multi-core optical fiber fan-in unit (213).

5. The all-optical convolution computing system based on multi-core optical fiber according to claim 4, characterized in that: The number n of ports of the n-channel demultiplexer (202) is the same as the number of the three pulse lasers (101, 102, 103), the three adjustable attenuators (203, 204, 205) and the three 2×2 fiber couplers (206, 207, 208); The n-channel demultiplexer (202) is capable of decomposing the mixed optical signal output by the wide-spectrum light source (201) into multi-path optical wavelength signals, and its n output ports correspond to outputting n different wavelengths; The two input ports of the three 2×2 fiber couplers (206, 207, 208) are respectively connected to the three pulse lasers (101, 102, 103) and the three adjustable attenuators (203, 204, 205); One output port of the three 2×2 optical fiber couplers (206, 207, 208) is directly connected to a multi-core optical fiber fan-in unit (213), and the other output port is respectively connected to the three first optical fiber isolators (209, 210, 211) and then coupled through the first n-channel optical wavelength division multiplexer (212) and then input into the multi-core optical fiber fan-in unit (213) for use as a reference path; The first n-channel optical wavelength division multiplexer (212) is capable of multiplexing n-channel optical wavelength signals into one channel for propagation, and the wavelength and number n correspond to the n-channel demultiplexer (202); The input channels of the multi-core optical fiber fan-in unit (213) correspond one-to-one to the cores of the multi-core optical fiber convolution kernel module (3); The three first optical fiber isolators (209, 210, 211) only allow light to pass in one direction.

6. The all-optical convolution computing system based on multi-core optical fiber according to claim 5, characterized in that: The multi-core optical fiber convolution core module (3) comprises four multi-core optical fiber convolution cores (301, 302, 303, 304) of a multi-core optical fiber, and each of the multi-core optical fiber convolution cores (301, 302, 303, 304) comprises a fiber core, a phase change material film layer and an anti-oxidation film layer; The phase change material film layer is a sulfur compound; The phase change material film layer has at least two phases that can be adjusted by light pulses; The material of the anti-oxidation film is indium tin oxide.

7. The all-optical convolution computing system based on multi-core optical fiber according to claim 6, characterized in that: The optical accumulation module (4) comprises a multi-core optical fiber fan-out unit (401), three second optical fiber isolators (402, 403, 404), a second n-channel optical wavelength division multiplexer (405), a photoelectric balance detector (406), a data acquisition card (407), and a host computer (408); The output channels of the multi-core optical fiber fan-out unit (401) correspond one-to-one to the cores of the multi-core optical fiber convolution core module (3).

8. The all-optical convolution computing system based on multi-core optical fiber according to claim 7, characterized in that: The optical fiber isolator (402, 403, 404) only allows light to pass in one direction; The number of ports n of the second n-channel optical wavelength division multiplexer (405) is one less than the number of output channels of the multi-core optical fiber fan-out unit (401); The photoelectric balance detector (406) has a positive input port and a negative input port, and the output value of the photoelectric balance detector (406) depends on the difference between the light intensity input at the positive input port and the light intensity input at the negative input port; The positive input port of the photoelectric balanced detector (406) is connected to the output end of the second n-channel optical wavelength division multiplexer (405); The negative input port of the photoelectric balanced detector (406) is connected to the output end of the multi-core fiber fan-out unit (401) corresponding to the fiber core of the multi-core fiber convolution kernel module (3) and inputted by the n×1 fiber coupler (213) in the image input module (2); The photoelectric balance detector (406) converts the input optical signal into an electrical signal and transmits it to the data acquisition card (407), and the data is transmitted to the host computer (408) through the data acquisition card (407) for monitoring and display; The host computer (408) interacts with the data acquisition card (407).

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