A method and apparatus for detecting an optical signal

Abstract

The application discloses a light signal detection method and device, and relates to the technical field of light signal detection. The method comprises the following steps: acquiring detection unit wavelength photon quantities of a light signal in a unit time and a unit area corresponding to a plurality of unit wavelength intervals, wherein the wavelength lengths corresponding to the plurality of unit wavelength intervals are different; and determining a plant effective light quantum flux density of the light signal according to the detection unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals. Based on the technical method, the light quantum flux density of the light signal which has an effect on plant growth can be accurately determined.

Description

TECHNICAL FIELD

[0001] The present application relates to optical signal processing, and more particularly, to an optical signal detection method and device. BACKGROUND

[0002] The theory of quantum mechanics proves that the energy of an optical signal is carried by individual photons in the optical signal. The photon flux density is the number of photons per unit area per unit time, which can represent the radiation intensity of the optical signal.

[0003] The spectral component of the light radiation that is effective for plant photosynthesis is called photosynthetically active radiation (PAR), with a wavelength range of 380-700 nm, which is basically coincident with visible light. The photon density of the radiation wave effective for plant photosynthesis is called photosynthetic photon flux density (PPFD). In order to detect the effect of sunlight on plant photosynthesis, an illuminance sensor can be used to collect the current environmental illuminance, and the illuminance is converted into PPFD according to a preset mode.

[0004] In some cases, a plant lighting lamp such as a multi-spectral light-emitting diode (LED), a high pressure sodium (HPS) lamp, and a traditional sodium lamp is used to provide light for plants. Because the spectra of the light emitted by different lighting lamps are different, the photosynthetic photon flux density of the light emitted by different lighting lamps is not the same under the same illuminance. The photosynthetic photon flux density effective for plant growth determined only according to the environmental illuminance is not accurate. SUMMARY

[0005] The present application provides a voice detection device control method and device, which can accurately determine the photosynthetic photon flux density of the light signal effective for plant growth.

[0006] In a first aspect, an optical signal detection method is provided, comprising: obtaining detection unit wavelength photon quantities of a light signal per unit time per unit area in a plurality of unit wavelength intervals, the plurality of unit wavelength intervals corresponding to different wavelength lengths; and determining a plant effective photon flux density of the light signal according to the detection unit wavelength photon quantities of the plurality of unit wavelength intervals.

[0007] With reference to the first aspect, in some possible implementation manners, the acquiring the detection unit wavelength photon quantity of the light signal in the unit time and the unit area at the plurality of different wavelength lengths includes: detecting, by using the sensor, detection band photon quantities of the light signal in a plurality of bands in the unit time and the unit area, the plurality of bands including the plurality of unit wavelength intervals; and determining, according to the detection band photon quantities of the plurality of bands and a spectral analysis matrix, the detection unit wavelength photon quantity of the light signal in the unit time and the unit area at the plurality of unit wavelength intervals, the spectral analysis matrix representing a conversion relationship between band photon quantities corresponding to the plurality of bands and unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals.

[0008] With reference to the first aspect, in some possible implementation manners, the plurality of unit wavelength intervals include a plurality of infrared unit wavelength intervals corresponding to infrared light and a plurality of visible light unit wavelength intervals corresponding to visible light.

[0009] With reference to the first aspect, in some possible implementation manners, the plant effective photon flux density is a sum of an infrared light photon flux density and a visible light photon flux density; and the determining the plant effective photon flux density of the light signal according to the detection unit wavelength photon quantity of the plurality of unit wavelength intervals includes: determining, according to detection unit wavelength photon quantities of the plurality of infrared unit wavelength intervals in the plurality of detection unit wavelength photon quantities and a corresponding relationship between unit wavelength photon quantities and unit wavelength photon flux densities, a detection unit wavelength photon flux density of each infrared unit wavelength interval, the infrared light photon flux density being a sum of the detection unit wavelength photon flux densities of the plurality of infrared unit wavelength intervals; determining an illumination of the light signal and a conversion coefficient according to detection unit wavelength photon quantities of the plurality of detection unit wavelength photon quantities and a luminous efficiency corresponding to each visible light unit wavelength interval, the conversion coefficient being a sum of products of a wavelength corresponding to each visible light unit wavelength interval, the detection unit wavelength photon quantity corresponding to the visible light unit wavelength interval, a preset coefficient, and an intermediate parameter, the intermediate parameter being a sum of products of the detection unit wavelength photon quantity corresponding to each visible light unit wavelength interval and the luminous efficiency corresponding to the visible light unit wavelength interval; and determining the visible light photon flux density according to the illumination and the conversion coefficient, the visible light photon flux density being a product of the illumination and the conversion coefficient.

[0010] With reference to the first aspect, in some possible implementation manners, wavelength ranges of any two adjacent bands in the plurality of bands overlap.

[0011] In some possible implementation manners of the first aspect, the sensor comprises a plurality of detection elements, and different detection elements are configured to detect detection band photons of different wave bands.

[0012] In a second aspect, a light signal detection apparatus is provided, which comprises function modules for implementing any of the light signal detection methods in the first aspect.

[0013] In a third aspect, a light signal detection apparatus is provided, which comprises a processor and a memory, the memory is configured to store a computer program, and the processor is configured to call and run the computer program from the memory, so that the light signal detection apparatus executes any of the light signal detection methods in the first aspect.

[0014] In a fourth aspect, a chip is provided, which comprises a processor, and when the processor executes instructions, the processor executes any of the light signal detection methods in the first aspect.

[0015] In a fifth aspect, a computer readable storage medium is provided, which stores computer program codes, and when the computer program codes are run by a light signal detection apparatus, the light signal detection apparatus executes any of the light signal detection methods in the first aspect.

[0016] In a sixth aspect, a computer program product is provided, which comprises computer program codes, and when the computer program codes are run by a light signal detection apparatus, the light signal detection apparatus executes any of the light signal detection methods in the first aspect. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 is a schematic flowchart of a light signal detection method provided by an embodiment of the present application;

[0018] Figure 2 is a schematic flowchart of a light signal detection method provided by an embodiment of the present application;

[0019] Figure 3 is a change of a normalized unit wavelength photon quantity corresponding to a change of a unit wavelength interval provided by an embodiment of the present application;

[0020] Figure 4 is a schematic structural diagram of a light signal detection apparatus provided by an embodiment of the present application;

[0021] Figure 5 is a schematic diagram of an electronic device for light signal detection provided by the present application. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present application will be described below with reference to the drawings.

[0023] The theory of quantum mechanics proves that the energy of the light signal is carried by individual photons in the light signal. The photon flux density is the number of photons per unit area per unit time, which can represent the radiation intensity of the light signal.

[0024] The light energy perceived by humans can be measured in lumens, and the light falling on the surface can be expressed in lux (lumens per square meter) or foot candles (lumens per square foot) to represent the illuminance of light. Illuminance can also be understood as light intensity.

[0025] The perception of light by plants is different from that of humans. The spectral components of light radiation that are effective for plant photosynthesis are called photosynthetically active radiation (PAR), with a wavelength range of 400 nanometers (nm) to 700 nm, which is basically coincident with visible light. The photon density of the radiation wave effective for plant photosynthesis is called photosynthetic photon flux density (PPFD), with a unit of micromole per second per square meter (μmolm -2 s -1 )。

[0026] In order to detect the effect of sunlight on plant photosynthesis, an illuminance sensor can be used to collect the current environmental illuminance, and the illuminance can be converted into PPFD in a preset manner.

[0027] In some cases, a multi-spectral light-emitting diode (LED), a high pressure sodium (HPS) lamp, a traditional sodium lamp, etc. are used as plant lighting lamps to provide light for plants. Because the spectra of light emitted by different lighting lamps are different, the PPFD of light emitted by different lighting lamps is not the same under the same illuminance. Therefore, the PPFD determined only according to the environmental illuminance is not accurate.

[0028] In addition, the wavelength range of radiation that affects plant growth and development is wider than the wavelength range of photosynthetically active radiation, and is approximately in the range of 300 to 800 nanometers. The radiation with a wavelength in this range is called physiological radiation. In addition to affecting photosynthesis, physiological radiation also affects other physiological activities.

[0029] The most sensitive spectrum of plants varies by species, but for most plants, the spectrum is very similar to the most sensitive visual spectrum of humans, approximately 400-700 nm. This is the range that stimulates photosynthesis. Any photon within this spectrum that is absorbed by the plant will contribute to photosynthesis. However, not all wavelengths have the same likelihood of being absorbed, which depends on the various plant pigments that can be present. The photosystems that undergo the light reactions are composed of multiple pigments, such as chlorophyll a, chlorophyll b, catotenoids, etc. The main absorption spectra of chlorophyll a, chlorophyll b, and catotenoids are centered at 450 nm and 660 nm.

[0030] In order to be able to perceive the light intensity, light quality, light direction and light period of the surrounding environment and respond to changes thereof, plants have evolved a light sensing system (light receptor). The light receptor is a key for plants to sense changes in the external environment, and the most important light receptor in the plant light reaction is phytochrome that absorbs red / far red light. Phytochrome is a kind of pigment protein that has a reverse effect on the absorption of red and far red light, participates in photomorphogenesis, and regulates plant development. It is extremely sensitive to red light (R) and far red light (FR), and plays an important regulatory role in the entire growth and development process of plants from germination to maturity.

[0031] The phytochrome in the plant body exists in two relatively stable states: red light absorption type (Pr, absorption peak is 660 nm) and far red light absorption type (Pfr, absorption peak is 730 nm). The two light absorption types can be reversed under red and far red light irradiation.

[0032] Studies related to phytochrome show that the effect of phytochrome (Pr, Pfr) on plant morphology includes seed germination, de-etiolation, stem elongation, leaf expansion, shade avoidance, and flowering induction. Therefore, a complete plant lighting scheme not only needs blue light at 450 nm and red light at 660 nm, but also needs far red light at 730 nm. Deep blue light (450 nm) and super red light (660 nm) can provide the spectrum required for photosynthesis, and far red light (730 nm) can control the entire process from germination to vegetative growth to flowering. Therefore, a proper combination of deep blue (450 nm), super red (660 nm) and far red light (730 nm) can provide better spectral coverage and optimal growth patterns.

[0033] Determining PPFD only for the illuminance of visible light cannot accurately reflect the influence of radiation in the environment on plants.

[0034] To solve the above problems, the embodiments of the present application provide a light signal detection method and device. The following will be described in combination withFigures 1 to 3 The light signal detection method provided by the embodiment of the present application is described in detail.

[0035] Figure 1 is a schematic flow chart of a light signal detection method provided by the embodiment of the present application. Figure 1 The light signal detection method shown can include steps S110 to S120, which are described in detail below.

[0036] In step S110, the detection unit wavelength photon quantity corresponding to a unit time and a unit area of the light signal in each unit wavelength interval is obtained, and the wavelength lengths of the plurality of unit wavelength intervals are different.

[0037] Different unit wavelength intervals represent wavelength interval ranges with a length of one unit wavelength.

[0038] A detection element corresponding to each unit wavelength interval is set for each unit wavelength interval, and the detection unit wavelength photon quantity corresponding to each unit wavelength interval can be obtained. The detection element is used to detect the detection unit wavelength photon quantity in the unit wavelength interval corresponding to the detection element in the light signal.

[0039] In order to reduce the number of detection elements and reduce the difficulty of detection, a plurality of detection units corresponding to the plurality of wavebands can be provided in the sensor, and each detection unit is used to detect the detection waveband photon quantity corresponding to the waveband. The plurality of wavebands includes the plurality of unit wavelengths.

[0040] Therefore, in S110, the detection waveband photon quantity corresponding to a unit time and a unit area of the light signal in the plurality of wavebands can be detected by the sensor, and the detection unit wavelength photon quantity corresponding to the plurality of unit wavelengths in the plurality of wavebands can be determined according to the detection waveband photon quantity corresponding to the plurality of wavebands and the spectral analysis matrix. The spectral analysis matrix represents the conversion relationship between the waveband photon quantity corresponding to the plurality of wavebands and the unit wavelength photon quantity corresponding to the plurality of unit wavelengths.

[0041] There can be overlaps between the plurality of wavebands. For example, there can be overlaps between any two adjacent wavebands, i.e., there are overlaps in the wavelength ranges of any two adjacent wavebands. Therefore, the detection unit wavelength photon quantity corresponding to the unit wavelength of the overlapping part can be determined according to the detection waveband photon quantity of more wavebands, and has a higher accuracy.

[0042] The spectral components effective for plant photosynthesis are substantially the same as the spectral components of visible light. The plurality of unit wavelength intervals can all be unit wavelength intervals corresponding to visible light, i.e., the wavelength lengths corresponding to the unit wavelength intervals can all belong to the wavelength lengths of visible light.

[0043] In addition to visible light, other spectral components such as infrared light also have an impact on the physiological activities of plant growth. The plurality of unit wavelength intervals can include infrared unit wavelength intervals corresponding to infrared light, and visible light unit wavelength intervals corresponding to visible light.

[0044] In step S120, the plant effective light quantum flux density of the light signal is determined according to the detection unit wavelength photon quantity corresponding to each unit wavelength.

[0045] For visible light, each unit wavelength interval has a luminous efficiency corresponding to the unit wavelength interval. According to the detection unit wavelength photon quantity of the unit wavelength interval and the luminous efficiency corresponding to the unit wavelength interval, the visible light quantum flux density of the visible light can be determined, so that the visible light quantum flux density is more accurate.

[0046] For infrared light, according to the detection unit wavelength photon quantity of the unit wavelength interval, and the corresponding relationship between the unit wavelength photon quantity and the unit wavelength light quantum flux density, the detection unit wavelength light quantum flux density of the unit wavelength interval can be determined, and the infrared light quantum flux density can be determined.

[0047] Therefore, in the case where the plurality of unit wavelength intervals include a plurality of infrared unit wavelength intervals and a plurality of visible light unit wavelength intervals, the visible light quantum flux density and the infrared light quantum flux density can be calculated respectively.

[0048] For the infrared light quantum flux density, according to the detection unit wavelength photon quantity of the plurality of infrared unit wavelength intervals in the plurality of detection unit wavelength photon quantities, and the corresponding relationship between the unit wavelength photon quantity and the unit wavelength light quantum flux density, the detection unit wavelength light quantum flux density of each infrared unit wavelength interval can be determined, and the infrared light quantum flux density is the sum of the detection unit wavelength light quantum flux density of the plurality of infrared unit wavelength intervals.

[0049] For the visible light quantum flux density, according to the detection unit wavelength photon quantity of the plurality of detection unit wavelength photon quantities, and the luminous efficiency corresponding to each visible light unit wavelength interval, the illumination and the conversion coefficient of the light signal can be determined; then according to the illumination and the conversion coefficient, the visible light quantum flux density is determined. The conversion coefficient is the sum of the product of the wavelength corresponding to each visible light unit wavelength interval, the detection unit wavelength photon quantity corresponding to the visible light unit wavelength interval, a preset coefficient and an intermediate parameter, the intermediate parameter is the product of the detection unit wavelength photon quantity corresponding to each visible light unit wavelength interval and the luminous efficiency corresponding to the visible light unit wavelength interval, and the visible light quantum flux density is the product of the illumination and the conversion coefficient.

[0050] The plant effective light quantum flux density is the sum of the infrared light quantum flux density and the visible light quantum flux density.

[0051] The plant effective light quantum flux density is more accurate by calculating the light quantum flux density of visible light and infrared light in different ways.

[0052] The plant effective light quantum flux density is more accurate by determining the plant effective light quantum flux density according to the detection unit wavelength photon quantity of the light signal in the unit time unit area corresponding to the plurality of unit wavelength intervals.

[0053] Figure 2 The light signal detection method provided by the embodiment of the present application is shown in the schematic flowchart. Figure 2 The light signal detection method shown can include steps S201 to S216. The following will be described in detail with respect to the plurality of wave bands, the number of which is 12 and covers the wavelength range corresponding to visible light and infrared light, and the wavelength range of each unit wavelength interval is 1 nm as an example.

[0054] Step S201, reading the wave band photon quantity F of the light signal detected by the sensor in the unit area of the plurality of wave bands raw_i , and the integration time t and the detection gain A used by the wave band photon quantity F of the light signal detected by the sensor in the unit area of the plurality of wave bands gain .

[0055] The sensor can adjust the integration time and the gain according to the intensity of the light signal, so that the maximum value of the wave band photon quantity in the unit area of the plurality of wave bands obtained according to the adjusted integration time reaches a preset saturation value.

[0056] The maximum value of the wave band photon quantity in the unit area of the plurality of wave bands reaches the preset saturation value, that is, the maximum value is between the preset saturation value and the maximum value of the detection range of the sensor to the wave band photon quantity.

[0057] The preset saturation value can be determined according to the maximum value of the detection range of the sensor to the wave band photon quantity, and the ratio of the preset saturation value to the maximum value can be preset, for example, the ratio can be 85%.

[0058] In the case where the maximum value of the wave band photon quantity in the unit area of the plurality of wave bands is not between the preset saturation value and the maximum value of the detection range, the sensor can adjust the integration time and / or the gain and detect again until the maximum value of the wave band photon quantity in the unit area of the plurality of wave bands reaches the preset saturation value. The integration time and the gain read in S201 are the integration time and the gain used in the case where the maximum value of the detection result of the wave band photon quantity in the unit area of the plurality of wave bands detected by the sensor to the light signal reaches the preset saturation value.

[0059] The more bands there are, the higher the measurement accuracy.

[0060] For example, the number of bands can be 12, and the center values ​​of the bands can be 400nm, 425nm, 450nm, 475nm, 515nm, 555nm, 547nm, 595nm, 635nm, 685nm, 745nm, and 850nm, respectively. The wavelength range of each band can be 50nm. The 12 bands are referred to as bands 1 to 12.

[0061] These 12 bands cover the wavelength range that affects plant growth, including blue, green, red, orange, yellow, and far-red light.

[0062] The band photon quantity F per unit area of ​​band i obtained from a certain execution of S201 raw_i It can be represented as F raw =The i-th element in {985,6720,23851,21291,23112,41984,10003,34425,26819,14515,1792,2713}, where i = 1,2,……,12. The sensor determines the photon quantity F in each band. raw_i The integration time used in the process is t = 424 ms, and the detection gain is A. gain =2048. The center value corresponding to band i increases as i increases.

[0063] Step S202: Based on the photon quantity F per unit area detected by the optical signal in multiple bands... raw_i And the integration time t and the gain A gain The initial relative photon count (F) is calculated by measuring the number of photons per unit time and per unit area across multiple wavelength bands. basic_i .

[0064] The initial relative photon number F of band i basic_i It can be represented as

[0065]

[0066] A gain =2048, t=424ms, and various F raw_i Substituting into the above equation, we obtain the initial relative photon number F of band i. basic_i F respectively basicThe i-th bit in {0.001132, 0.007725, 0.027106, 0.024474, 0.026567, 0.048260, 0.011498, 0.039571, 0.030828, 0.016685, 0.002060, 0.003119}.

[0067] In step S203, the target gain correction matrix G is determined.

[0068] Different gains correspond to different gain correction matrices. The gain correction matrix corresponding to the detection gain is the target gain correction matrix.

[0069] Each gain correction matrix can be obtained by testing a standard device. The gain correction matrix corresponding to each gain represents the proportional relationship between the test waveband photon amount per unit area per unit time and the actual waveband photon amount during the testing process when the standard device uses the gain.

[0070] Using the target gain correction matrix corresponding to the detection gain, the initial relative photon number F basic_i is corrected.

[0071] Exemplarily, the gain correction matrix corresponding to the gain value of 0.5 is {1.149, 1.1, 1.06, 1.07, 1.063, 1.051, 1.062, 1.056, 1.049, 1.04, 1.08, 1.038, 1.065}, the gain correction matrix corresponding to the gain value of 1 is {1.09, 1.128, 1.064, 1.071, 1.063, 1.05, 1.068, 1.055, 1.047, 1.039, 1.075, 1.038, 1.085}, the gain correction matrix corresponding to the gain value of 2 is {1.083, 1.086, 1.062, 1.070, 1.062, 1.049, 1.057, 1.053, 1.045, 1.038, 1.063, 1.037, 1.069}, the gain correction matrix corresponding to the gain value of 4 is {1.059, 1.068, 1.056, 1.066, 1.058, 1.046, 1.051, 1.051, 1.044, 1.036, 1.059, 1.035, 1.053}, the gain correction matrix corresponding to the gain value of 8 is {1.100, 1.109, 1.096, 1.108, 1.099, 1.089, 1.091, 1.092, 1.082, 1.078, 1.100, 1.076, 1.088}, the gain correction matrix corresponding to the gain value of 16 is {1.099, 1.109, 1.096, 1.108, 1.099, 1.089, 1.091, 1.092, 1.082, 1.078, 1.100, 1.075, 1.087}, the gain correction matrix corresponding to the gain value of 32 is {1.088, 1.096, 1.085, 1.097, 1.087, 1.078, 1.079, 1.080, 1.071, 1.067, 1.087, 1.064, 1.076}, the gain correction matrix corresponding to the gain value of 64 is {1.083, 1.091, 1.078, 1.090, 1.079, 1.072, 1.072, 1.073, 1.064, 1.062, 1.080, 1.057, 1.069}, the gain correction matrix corresponding to the gain value of 128 is {1.076, 1.084, 1.072, 1.085, 1.074, 1.066, 1.062, 1.067, 1.055, 1.056, 1.074, 1.051, 1.061}, the gain correction matrix corresponding to the gain value of 256 is {1.067, 1.074, 1.063, 1.075, 1.064, 1.059, 1.055, 1.058, 1.049, 1.051, 1.064, 1.044, 1.053}, and the gain correction matrix corresponding to the gain value of 512 is {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.The gain correction matrix for a gain value of 1024 is {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0}, and the gain correction matrix for a gain value of 2048 is {1.0, ... The gain correction matrix for a gain value of 4096 is {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0}, and the gain correction matrix for a gain value of 5120 is {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0}.

[0072] Step S204: Obtain the coefficient parameter a for each band. i .

[0073] Step S205: Obtain the compensation parameters b for each band. i .

[0074] coefficient parameter a i and compensation parameter b i This indicates the linear relationship between the sensor used in process S201 and the result of the standard sensor after correction using the target gain correction matrix. In other words, the detection results of the sensor used in process S201 and the standard sensor have a linear relationship.

[0075] Step S206, based on the target gain correction matrix G and the coefficient parameter a i Compensation parameter b i For the initial relative photon number F basic_i Correction is performed to obtain the corrected relative photon number F. c_i .

[0076] Corrected relative photon number F c_i It can be represented as F c_i =F basic_i G i a i -b i Wherein, the target gain correction coefficient G i This represents the i-th element in the target gain correction matrix G.

[0077] For the initial relative photon number F basic_i Perform a linear transformation, that is, change the initial relative photon number F. basic_i With target gain correction factor G i Coefficient parameter ai The product obtained by multiplication and the compensation parameter b i The result obtained by addition can be used as the corrected correction relative photon number F c_i .

[0078] Exemplarily, the sensor used in the S201 process is consistent with the detection result of the standard sensor, and the coefficient parameter a of the wave band i i is the i-th bit in the matrix a = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0}, and the compensation parameter b of the wave band i i is the i-th bit in the matrix b = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}. In the case of A gain = 2048, the target gain correction matrix G can be determined by S203 as {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0}. The target gain correction coefficient G i , the coefficient parameter a i , and the compensation parameter b i are substituted into the correction relative photon number F c_i expression, and F c_i is the i-th bit in F c = {0.001202, 0.008105, 0.028062, 0.025040, 0.026832, 0.047914, 0.011072, 0.039625, 0.031452, 0.016718, 0.001933, 0.003300}.

[0079] The correction relative photon number F c_i is obtained by correction using the parameters of the sensor, and can be understood as the detection result of the sensor on the wave band photon amount per unit time per unit area corresponding to multiple wave bands, which can be used as the detection wave band photon amount corresponding to each wave band.

[0080] In step S207, the correction relative photon number F c_i of multiple wave bands is converted into the detection unit wavelength photon amount F r_n of multiple unit wavelength intervals per unit time per unit area of the optical signal by using the spectral analysis matrix.

[0081] The spectral analysis matrix represents the correction relative photon number F c_i of the multiple wave bands and the detection unit wavelength photon amount F r_iThe correspondence between them. The wavelength range of these multiple bands completely covers the wavelength coverage range of these multiple unit wavelength intervals. The wavelength ranges of these multiple bands may overlap, the wavelength ranges of these multiple unit wavelength intervals do not overlap, and the wavelength ranges of two adjacent unit wavelength intervals are contiguous.

[0082] The number of rows in the spectral analysis matrix is ​​equal to the number of the multiple unit wavelength intervals, and the number of columns in the spectral analysis matrix is ​​equal to the number of the multiple bands.

[0083] Corrected relative photon number F across multiple bands c_i The number of photons per unit wavelength detected in the multiple unit wavelength ranges, F r_i The correspondence between them can be linear, where the number of photons F detected per unit wavelength in the nth unit wavelength interval among these multiple unit wavelength intervals is... r_n This can be expressed as the coefficient of the nth unit wavelength interval corresponding to each band in the spectral analysis matrix and the corrected relative photon number F of that band. c_i The sum of the products. That is, the detection unit wavelength photon quantity F in the nth unit wavelength interval. r_n It can be represented as Among them, S ni The value of the element in the nth row and ith column of the spectral analysis matrix is ​​the coefficient of the nth unit wavelength interval corresponding to band i.

[0084] In the process of calculating the number of photons per unit wavelength using the spectral analysis matrix, the overlapping wavelength ranges in each band are taken into account, making the calculation results more accurate.

[0085] The length of a unit wavelength interval can be 1 nm. For 12 bands i (i = 1, 2, ..., 12), the number of these multiple unit wavelength intervals can be 420, representing the wavelength range of 1 nm from 380 nm to 800 nm.

[0086] Detection unit wavelength photon quantity F r_0 The number of photons detected per unit wavelength is F, corresponding to the wavelength range of [380nm, 381nm). r_419 The unit wavelength range corresponds to [799nm, 800nm). The number of photons F per unit wavelength is detected. r_n The wavelength of the corresponding unit wavelength range increases with the increase of n.

[0087] The spectral analysis matrix includes 420 rows and 12 columns. Among them, the first row can be {0.201769, -0.151912, 0.086095, -0.048947, 0.000887, -0.003978, 0.0, 0.002996, -0.000547, 0.000054, 0.001858, -0.000564}, the second row can be {0.202480, -0.152111, 0.086177, -0.048999, 0.000888, -0.003987, 0.0, 0.002999, -0.000550, 0.000053, 0.001854, -0.000569}, the third row can be {0.202875, -0.151711, 0.085880, -0.048842, 0.000884, -0.003984, 0.0, 0.002987, -0.000554, 0.000050, 0.001835, -0.000575}, the fourth row can be {0.202939, -0.150688, 0.085195, -0.048470, 0.000874, -0.003967, 0.0, 0.002959, -0.000558, 0.000045, 0.001800, -0.000584}, the fifth row can be {0.202652, -0.149004, 0.084098, -0.047871, 0.000859, -0.003935, 0.0, 0.002915, -0.000562, 0.000039, 0.001750, -0.000595}, the sixth row can be {0.201993, -0.146621, 0.082566, -0.047031, 0.000837, -0.003886, 0.0, 0.002852, -0.000566, 0.000031, 0.001682, -0.000608}, the seventh row can be {0.200943, -0.143503, 0.080575, -0.045938, 0.000808, -0.003821, 0.0, 0.002770, -0.000570, 0.000020, 0.001596, -0.000623}, and the eighth row can be {0.199482, -0.139617, 0.078108, -0.044582, 0.000772, -0.003738, 0.0, 0.002668, -0.000574, 0.000008, 0.001492, -0.000641}. The values of other rows of the spectral analysis matrix are not listed one by one.

[0088] Through calculation, the detection unit wavelength photon amount F corresponding to each unit wavelength interval can be obtained r_n The detection unit wavelength photon amount of each unit wavelength interval can be understood as the spectral energy distribution.

[0089] Step S208, according to the detection unit wavelength photon amount F corresponding to each unit wavelength interval r_n , the light signal is represented in the color space.

[0090] The color space is an abstract mathematical model for representing colors using a set of numerical values.

[0091] In the CIE1931 color space, x represents the relative value related to red, y represents the relative value related to green, and z represents the relative value related to blue.

[0092] The x of the CIE1931 color space can be represented as:

[0093]

[0094] wherein C x_n represents the nth item in the standard parameter matrix of x in the CIE1931 color space, and is the coefficient of the detection unit wavelength photon amount F r_n of the unit wavelength interval n in the visible light range in the process of calculating the x of the CIE1931 color space.

[0095] The y of the CIE1931 color space can be represented as:

[0096]

[0097] wherein C y_n represents the nth item in the standard parameter matrix of y in the CIE1931 color space, and is the coefficient of the detection unit wavelength photon amount F r_n of the unit wavelength interval n in the visible light range in the process of calculating the y of the CIE1931 color space.

[0098] The z of the CIE1931 color space can be represented as:

[0099]

[0100] wherein C z_n represents the nth item in the standard parameter matrix of z in the CIE1931 color space, and is the coefficient of the detection unit wavelength photon amount F r_n of the unit wavelength interval n in the visible light range in the process of calculating the z of the CIE1931 color space.

[0101] Substitute the detection unit wavelength photon amount of each unit wavelength interval calculated in S207 into the expression of x, y, z of CIE1931 color space, and x=0.2305, y=0.2554, z=0.2536 can be obtained.

[0102] In S209, the light signal represented by the color space is normalized.

[0103] The normalization of x, y, z of CIE1931 color space is x', y', z' respectively:

[0104]

[0105] After calculating x, y, z obtained in S208, x'=0.3117, y'=0.3453, z'=0.3430 are obtained.

[0106] In step S210, the illuminance and color temperature are calculated.

[0107] Illuminance E lx has a positive proportional relationship with y of CIE1931 color space, and can be expressed as E lx =C E y, wherein C E is a preset standard coefficient, and C E =683.

[0108] Color temperature T C can be expressed as:

[0109]

[0110] Substitute y calculated in S207 and x', y' calculated in S208 into the above formula, and E=174 lux (lx) and T C =6450 Kelvin (K) are obtained.

[0111] In step S211, the detection unit wavelength photon amount of each unit wavelength interval is spectrally normalized and reconstructed.

[0112] The normalized unit wavelength photon amount F n_n of unit wavelength interval n can be expressed as

[0113]

[0114] Wherein, max(F r_0 ,F r_1 ,...,F r_419 ) represents the maximum value in F r_0 ,F r_1 ,...,F r_419 .

[0115] The detection unit wavelength photon quantity F for each unit wavelength interval n calculated by S207 r_n Substituting the normalized unit wavelength photon quantity F into the unit wavelength interval n n_n The expression can be obtained as follows: Figure 3 The normalized unit wavelength photon quantity F for each unit wavelength range shown n_n The change in wavelength corresponding to the unit wavelength range.

[0116] After performing step S211, the normalized unit wavelength photon quantity F can be found by segmenting intervals. n_n The maximum value. This involves dividing the normalized data from 380 to 800 nm wavelengths into 20 nm segments and finding the normalized photon quantity F per unit wavelength within that interval. n_n The maximum value is obtained to acquire the F value in multiple preset wavelength ranges such as 380nm-399nm, 400nm-419nm, 420nm-439nm, etc. n_n Maximum value. Then, for each preset wavelength range, F... n_n Comparing the maximum value with 0.5, such as F in a preset wavelength range. n_n If the maximum value is greater than 0.5, record the preset wavelength range.

[0117] When F of all preset wavelength ranges n_n When the maximum value is greater than 0.5, it can be determined that the current light signal is sunlight or light signal emitted by a plant light that is suitable for full-spectrum LEDs.

[0118] When the preset wavelength range is recorded as 440nm-480nm, 540nm-560nm, 620nm-660nm, and / or 720nm-760nm, it can be known that the current optical signal contains blue light, green light, red light, and / or far-red light components.

[0119] If the preset wavelength range is only 720nm-760nm, then the F of the preset wavelength range... n_n If the maximum value is less than 0.1, it means that the current optical signal contains only far-red light components.

[0120] In other words, the normalized unit wavelength photon quantity F n_n It can be used to analyze spectra, thereby comparing and correcting the effective photon flux density of plants.

[0121] Step S212, based on the normalized unit wavelength photon quantity F for each unit wavelength interval n n_n Calculate the intermediate parameter d.

[0122] The intermediate parameter d can be expressed as:

[0123]

[0124] wherein η n represents the luminous efficiency of the unit wavelength interval n. The luminous efficiency is the ratio of luminous flux to power. The power can refer to the radiant flux output by the light source, or the energy provided to the light source.

[0125] For the plurality of unit wavelength intervals n taking values from 20 to 329, the wavelength coverage ranges from 400 nm to 700 nm, which is the wavelength range of visible light.

[0126] The luminous efficiency η n is the n-20th element in the luminous efficiency matrix. The luminous efficiency matrix is:

[0127] {0.0004, 0.00044, 0.00048, 0.00052, 0.00056, 0.0006, 0.00072, 0.00084, 0.00096, 0.00108,

[0128] 0.0012, 0.0014, 0.0016, 0.0018, 0.002, 0.0022, 0.00256, 0.00292, 0.00328, 0.00364,

[0129] 0.004, 0.00766, 0.00532, 0.00898, 0.00664, 0.0373, 0.00516, 0.00902, 0.00988, 0.01074,

[0130] 0.0116, 0.01264, 0.01368, 0.01472, 0.01576, 0.0168, 0.01804, 0.01928, 0.02052, 0.02176,

[0131] 0.023, 0.02436, 0.02572, 0.02708, 0.02844, 0.0298, 0.09144, 0.03308, 0.03472, 0.03636,

[0132] 0.038, 0.04, 0.042, 0.044, 0.046, 0.048, 0.0504, 0.0528, 0.0552, 0.0576,

[0133] 0.06, 0.06278, 0.06556, 0.06834, 0.07112, 0.0739, 0.06732, 0.08074, 0.08416, 0.08758,

[0134] 0.091,0.09532,0.09964,0.10396,0.10828,0.1126,0.11788,0.12316,0.12844,0.13372,

[0135] 0.139,0.14506,0.15112,0.15718,0.26324,0.3693,0.37704,0.18478,0.19252,0.20026,

[0136] 0.208,0.21812,0.22824,0.23836,0.24848,0.2586,0.47148,0.28436,0.29724,0.31012,

[0137] 0.323,0.33986,0.35672,0.37358,0.39044,0.4073,0.42644,0.44558,0.46472,0.48386,

[0138] 0.503,0.52404,0.54508,0.56612,0.58716,0.6082,0.82856,0.64892,0.66928,0.68964,

[0139] 0.71,0.72664,0.74328,0.75992,0.77656,0.7932,0.80696,0.82072,0.83448,0.84824,

[0140] 0.862,0.87258,0.88316,0.59374,0.90432,0.9149,0.72272,0.93054,0.73836,0.74618,

[0141] 0.954,0.95926,0.96452,0.66978,0.87504,0.7803,0.98324,0.78618,0.78912,0.79206,

[0142] 0.995,0.996,0.997,0.998,0.999,1,0.999,0.998,0.997,0.996,

[0143] 0.995,0.99172,0.98844,0.98516,0.98188,0.6786,0.97328,0.86796,0.86264,0.85732,

[0144] 0.952,0.94468,0.93736,0.63004,0.72272,0.9154,0.90632,0.69724,0.68816,0.87908,

[0145] 0.87,0.85926,0.84852,0.83778,0.82704,0.8163,0.80444,0.69258,0.78072,0.76886,

[0146] 0.757,0.74458,0.73216,0.71974,0.70732,0.6949,0.98212,0.66934,0.65656,0.64378,

[0147] 0.631,0.61816,0.60532,0.59248,0.57964,0.5668,0.95404,0.54128,0.52852,0.51576,

[0148] 0.503,0.49064,0.47828,0.66592,0.45356,0.4412,0.42916,0.41712,0.40508,0.39304,

[0149] 0.381,0.369,0.357,0.345,0.333,0.321,0.3098,0.2986,0.2874,0.2762,

[0150] 0.265,0.2554,0.2458,0.2362,0.3266,0.217,0.2086,0.2002,0.1918,0.1834,0.175,

[0151] 0.16764,0.16028,0.15292,0.19556,0.1382,0.13196,0.12572,0.11948,0.11324,0.107,

[0152] 0.10192,0.09684,0.09176,0.081668,0.1816,0.07748,0.07336,0.06924,0.06512,0.061,0.05772,0.05444,0.05116,0.04288,0.0446,0.04208,0.03956,0.03704,0.03452,0.032,

[0153] 0.03024,0.02848,0.02672,0.02496,0.0232,0.02196,0.02072,0.01948,0.01824,0.017,

[0154] 0.01598,0.01496,0.01394,0.01592,0.0119,0.01116,0.01042,0.00968,0.00894,0.0082,0.0077,0.0072,0.0067,0.0062,0.0057,0.00538,0.00506,0.00474,0.00442,0.0041,

[0155] 0.00386,0.00362,0.00338,0.00314,0.0029,0.00274,0.00258,0.00242,0.00226,0.0021,0.00198,0.01186,0.01174,0.00162,0.0015,0.0014,0.0013,0.0012,0.0011,0.001,

[0156] 0.00094,0.00188,0.00182,0.00176,0.0007,0.00066,0.00062,0.00058,0.00054,0.0005,0.00048,0.00046,0.0144,0.00142,0.0004,0.00036,0.00032,0.00028,0.00024,0.0002,

[0157] 0.0002,0.0002,0.0002,0.0002,0.0002,0.00018,0.00016,0.00014,0.00012,0.0001,

[0158] 0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,

[0159] 0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,

[0160] 0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,

[0161] 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,

[0162] 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}.

[0163] Substitute the normalized unit wavelength photon quantity of each unit wavelength interval calculated in S211 into the expression of the intermediate parameter d above, and the intermediate parameter d = 53418.7282 can be obtained.

[0164] In step S213, the conversion coefficient K is determined according to the intermediate parameter d.

[0165] The conversion coefficient K can be expressed as:

[0166]

[0167] Wherein, λ is the wavelength, λ = n + 380 (unit: nm).

[0168] Substitute the normalized unit wavelength photon quantity of each unit wavelength interval calculated in S211 and the intermediate parameter d calculated in S212 into the expression of the conversion coefficient K, and the conversion coefficient K = 15.48 can be obtained.

[0169] In step S214, the light quantum flux density of visible light in the light signal is determined according to the illumination E lx and the conversion coefficient K.

[0170] The light quantum flux density D1 of visible light in the light signal can be expressed as:

[0171] D1 = E lx K

[0172] Substitute the calculation results of the intermediate parameter d and the conversion coefficient K into the expression of the PPFD of visible light, and D1 = 15.48 * 174 / 1000 = 2.69 μmol / s-m2 can be obtained. Wherein, divide by 1000 is to convert the unit.

[0173] In step S215, the infrared light quantum flux density D2 of infrared light in the light signal is determined.

[0174] The photon energy of different wavelengths is different, and the photon energy E λ of wavelength λ can be expressed as: λ = hc / λ.

[0175] Wherein, h is the Planck constant, h = 6.63 x 10 n Joule seconds (JS); c is the speed of light, c = 3.0 x 10n meters per second (m / s).

[0176] The total energy of 1 mol of incident photons per unit time per unit area is E = N A E λ = N A hc / λ.

[0177] Without considering the constant C corresponding to the dark current of the sensor itself and the light quantum efficiency, the radiation (light) flux of a certain specific wavelength λ (i.e., the detection unit wavelength photon quantity F r_n obtained in step S207 in multiple unit wavelength intervals) has the following relationship with the 1 mol light quantum flux density D incident per unit time per unit area: F r_n = DE.

[0178] Therefore, the 1 mol light quantum flux density D incident per unit time per unit area of a certain specific wavelength λ can be expressed as:

[0179]

[0180] The light quantum flux density D2 of infrared light can be expressed as the integral of the light quantum flux density D of the unit wavelength interval with a wavelength range of 700 to 780 nm, that is:

[0181]

[0182] Step S216, calculating the plant effective light quantum flux density D 总 .

[0183] The plant effective light quantum flux density D 总 is equal to the sum of the light quantum flux density D1 of visible light and the light quantum flux density D2 of infrared light, that is, D 总 = D1+D2.

[0184] Through S201 to S216, the detection unit wavelength photon quantity corresponding to the unit time per unit area of the light signal in multiple unit wavelength intervals is determined according to the wavelength band photon quantity per unit area of the light signal in multiple wavelength bands, thereby determining the plant effective light quantum flux density of the light signal, so that the plant effective light quantum flux density is more accurate.

[0185] The method embodiment of the embodiment of the application is described in detail above in combination with Figures 1 to 3 , and the device embodiment of the application will be described in detail below in combination with Figure 4 and Figure 5 . It should be understood that the light signal detection device in the embodiment of the application can perform the light signal detection method of the aforementioned embodiment of the application, that is, the specific working process of the following various products can refer to the corresponding process in the aforementioned method embodiment.

[0186] Figure 4is a schematic structural diagram of a light signal detection device provided by an embodiment of the present application.

[0187] It should be understood that the light signal detection device 400 can perform the light signal detection method shown in Figure 1 or Figure 2 The light signal detection device 400 includes an acquisition unit 410 and a processing unit 420.

[0188] The acquisition unit 410 is configured to acquire detection unit wavelength photon quantities of the light signal per unit time per unit area corresponding to a plurality of unit wavelength intervals, the wavelength lengths of the plurality of unit wavelength intervals being different.

[0189] The processing unit 420 is configured to determine a plant effective light quantum flux density of the light signal according to the detection unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals.

[0190] Optionally, as an embodiment, the acquisition unit 410 is specifically configured to: detect detection band photon quantities of the light signal per unit time per unit area corresponding to a plurality of bands by using a sensor, the plurality of bands including the plurality of unit wavelength intervals; and determine the detection unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals in the plurality of bands according to the detection band photon quantities corresponding to the plurality of bands and a spectral analysis matrix, the spectral analysis matrix representing a conversion relationship between band photon quantities corresponding to the plurality of bands and unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals.

[0191] Optionally, as an embodiment, the plurality of unit wavelength intervals include a plurality of infrared unit wavelength intervals corresponding to infrared light and a plurality of visible light unit wavelength intervals corresponding to visible light.

[0192] Optionally, as an embodiment, the plant effective light quantum flux density is a sum of an infrared light quantum flux density and a visible light quantum flux density.

[0193] The processing unit 420 is specifically configured to: determine, according to the detection unit wavelength photon quantity of each infrared unit wavelength interval in the plurality of detection unit wavelength photon quantities and the corresponding relationship between the unit wavelength photon quantity and the unit wavelength light quantum flux density, the detection unit wavelength light quantum flux density of each infrared unit wavelength interval, the infrared light quantum flux density being the sum of the detection unit wavelength light quantum flux densities of the plurality of infrared unit wavelength intervals; determine the illumination of the light signal and a conversion coefficient according to the detection unit wavelength photon quantity of the plurality of detection unit wavelength photon quantities and the luminous efficiency corresponding to each visible light unit wavelength interval, the conversion coefficient being the sum of the products of the wavelength corresponding to each visible light unit wavelength interval, the detection unit wavelength photon quantity corresponding to the visible light unit wavelength interval, a preset coefficient and an intermediate parameter, the intermediate parameter being the sum of the product of the detection unit wavelength photon quantity corresponding to each visible light unit wavelength interval and the luminous efficiency corresponding to the visible light unit wavelength interval; and determine the visible light quantum flux density according to the illumination and the conversion coefficient, the visible light quantum flux density being the product of the illumination and the conversion coefficient.

[0194] Optionally, the wavelength ranges of any two adjacent wave bands in the plurality of wave bands overlap.

[0195] It should be noted that the light signal detection device 400 is embodied in the form of a functional unit. The term "unit" herein can be implemented in the form of software and / or hardware, and no specific limitation is made thereto.

[0196] For example, the "unit" can be a software program, a hardware circuit or a combination of both, which realizes the above functions. The hardware circuit can include an application specific integrated circuit (ASIC), an electronic circuit, a processor (such as a shared processor, a dedicated processor or a group processor, etc.) and a memory for executing one or more software or firmware programs, and a combination logic circuit and / or other suitable components supporting the described functions.

[0197] Therefore, the units of each example described in the embodiments of the present application can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0198] Figure 5 A structural schematic diagram of an electronic device provided by the present application is shown. Figure 5The dashed line in the figure indicates that the unit or the module is optional. The electronic device 500 can be used to implement the optical signal detection method described in the above method embodiments.

[0199] The electronic device 500 includes one or more processors 501 that can support the electronic device 500 to implement the optical signal detection method in the method embodiments. The processor 501 can be a general-purpose processor or a special-purpose processor. For example, the processor 501 can be a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices such as discrete gates or transistor logic devices, or discrete hardware components.

[0200] The processor 501 can be used to control the electronic device 500, execute a software program, and process data of the software program. The electronic device 500 can further include a communication unit 505 to implement input (reception) and output (transmission) of signals.

[0201] For example, the electronic device 500 can be a chip, and the communication unit 505 can be an input and / or output circuit of the chip, or the communication unit 505 can be a communication interface of the chip, and the chip can be a component of a terminal device or other electronic device.

[0202] For another example, the electronic device 500 can be a terminal device, and the communication unit 505 can be a transceiver of the terminal device, or the communication unit 505 can be a transceiving circuit of the terminal device.

[0203] The electronic device 500 can include one or more memories 502 in which a program 504 is stored, and the program 504 can be run by the processor 501 to generate an instruction 503, so that the processor 501 executes the optical signal detection method described in the above method embodiments according to the instruction 503.

[0204] Optionally, the memory 502 can also store data. Optionally, the processor 501 can also read the data stored in the memory 502, and the data can be stored in the same storage address as the program 504, or the data can be stored in a different storage address from the program 504.

[0205] The processor 501 and the memory 502 can be separately arranged or integrated together; for example, integrated on a system on chip (SOC) of the terminal device.

[0206] Exemplarily, the memory 502 can be used to store a related program 504 of the optical signal detection method provided in the embodiments of the present application, and the processor 501 can be used to call the related program 504 of the optical signal detection method stored in the memory 502 when performing image inpainting on the terminal device, and execute the optical signal detection method of the embodiments of the present application.

[0207] The present application also provides a computer program product, which, when executed by the processor 501, implements the optical signal detection method described in any method embodiment of the present application.

[0208] The computer program product can be stored in the memory 502, for example, is a program 504, which is finally converted into an executable target file that can be executed by the processor 501 after processing such as preprocessing, compiling, assembling and linking.

[0209] The present application also provides a computer readable storage medium having a computer program stored thereon, which, when executed by a computer, implements the optical signal detection method described in any method embodiment of the present application. The computer program can be a high-level language program or an executable target program.

[0210] The computer readable storage medium is, for example, the memory 502. The memory 502 can be a volatile memory or a nonvolatile memory, or the memory 502 can include both volatile and nonvolatile memory. The nonvolatile memory can be a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically EPROM (EEPROM), or a flash memory, among others. The volatile memory can be a random access memory (RAM), which is used as the external cache. By way of example, and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous dynamic RAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct rambus RAM (DR RAM), among others.

[0211] In this application, "at least one", "multiple", "plurality" mean one or more, unless otherwise indicated. "At least one of the following (a)" or the like means any combination of these items, including a single item (a) or a combination of multiple items (a). For example, at least one of a, b, or c can mean a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0212] It should be understood that the size of the sequence number of the above-mentioned processes in various embodiments of the present application does not mean the order of execution, and the execution order of the processes should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0213] Those skilled in the art can clearly understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0214] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0215] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic; for example, the division of the units is only a logical function division, and actual implementation can have another division manner; for example, a plurality of units or components can be combined or integrated into another system, or some features can be omitted or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0216] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0217] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit.

[0218] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of detecting an optical signal, characterized by, The method comprises: acquiring detection unit wavelength photon quantities of the optical signal in a plurality of unit wavelength intervals corresponding to unit time and unit area, wavelength ranges of the plurality of unit wavelength intervals do not coincide, and wavelength ranges of adjacent unit wavelength intervals are adjacent; determining a plant effective light quantum flux density of the optical signal according to the detection unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals; the acquisition of the detection unit wavelength photon quantities of the optical signal in a plurality of unit wavelength intervals of different wavelength lengths corresponding to unit time and unit area comprises: detecting detection band photon quantities of the optical signal in a plurality of bands corresponding to unit time and unit area by using a sensor, the plurality of bands comprising the plurality of unit wavelength intervals; determining the detection unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals in the plurality of bands according to the detection band photon quantities corresponding to the plurality of bands and a spectral analysis matrix, the spectral analysis matrix representing a conversion relationship between band photon quantities corresponding to the plurality of bands and unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals.

2. The method of claim 1, wherein, The plurality of unit wavelength intervals comprises a plurality of infrared unit wavelength intervals corresponding to infrared light and a plurality of visible light unit wavelength intervals corresponding to visible light.

3. The method of claim 2, wherein, The plant effective light quantum flux density is a sum of an infrared light quantum flux density and a visible light quantum flux density; the determination of the plant effective light quantum flux density of the optical signal according to the detection unit wavelength photon quantities corresponding to the plurality of unit wavelength intervals comprises: determining a detection unit wavelength light quantum flux density of each infrared unit wavelength interval according to detection unit wavelength photon quantities of the plurality of infrared unit wavelength intervals in the plurality of detection unit wavelength photon quantities and a corresponding relationship between unit wavelength photon quantities and unit wavelength light quantum flux densities, the infrared light quantum flux density being a sum of the detection unit wavelength light quantum flux densities of the plurality of infrared unit wavelength intervals; determining an illuminance of the optical signal and a conversion coefficient according to detection unit wavelength photon quantities of the plurality of detection unit wavelength photon quantities and a luminous efficiency corresponding to each visible light unit wavelength interval, the conversion coefficient being a sum of products of a wavelength corresponding to each visible light unit wavelength interval, the detection unit wavelength photon quantity corresponding to the visible light unit wavelength interval, a preset coefficient and an intermediate parameter, the intermediate parameter being a sum of products of the detection unit wavelength photon quantity corresponding to each visible light unit wavelength interval and the luminous efficiency corresponding to the visible light unit wavelength interval; determining the visible light quantum flux density according to the illuminance and the conversion coefficient, the visible light quantum flux density being a product of the illuminance and the conversion coefficient.

4. The method according to any one of claims 1 to 3, characterized in that, Wavelength ranges of any two adjacent bands in the plurality of bands coincide.

5. The method according to any one of claims 1-3, characterized in that, The sensor comprises a plurality of detection elements, different detection elements are used to detect detection band photon quantities corresponding to different bands.

6. An optical signal detection device, characterized by The optical signal detection device comprises a processor and a memory, the memory is used for storing a computer program, the processor is used for calling and running the computer program from the memory, so that the optical signal detection device executes the optical signal detection method in any one of claims 1 to 5.

7. A chip, characterized by The computer readable storage medium stores a computer program, when the computer program is executed by the processor, the processor executes the optical signal detection method in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, when the computer program is executed by the processor, the processor executes the optical signal detection method in any one of claims 1 to 5.

9. An optical signal detection system, characterized by Comprise: The sensor and the optical signal detection device of claim 6, the detection unit wavelength photon quantity corresponding to the plurality of unit wavelength intervals is determined according to the detection result of the sensor. The computer readable storage medium stores a computer program, when the computer program is executed by the processor, the processor executes the optical signal detection method in any one of claims 1 to 5.

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