667results about How to "Improve processing precision" patented technology

The invention discloses a method for treating radioactive wastewater. The method for treating the radioactive wastewater comprises the steps of firstly carrying out reverse osmosis treatment on the radioactive wastewater, then enabling the radioactive wastewater to enter a continuous electrodeionization unit to be treated, and further removing radionuclide so as to enable treated wastewater to reach discharge requirements; and respectively filling different mixed ion exchange resin in a plain water chamber and a thick water chamber in a continuous electrodeionization membrane stack of the continuous electrodeionization unit, wherein mixed ion exchange resin filled in the plain water chamber comprises, by volume ratio, 30%-60% of strong-acid cation exchange resin, 40%-60% of strong-base anion exchange resin, and 0%-30% of weak-base anion exchange resin, mixed ion exchange resin filled in the thick water chamber comprises, by volume ratio, 20%-50% of strong-acid cation exchange resin, and the balance strong-base anion exchange resin. A weak dissociation polymer portion is used for improving selectivity of continuous electrodeionization membrane stack to trace amount radionuclide, radionuclide with extremely concentration can be effectively removed, and the method for treating the radioactive wastewater ensures that the final discharged water satisfies the discharge requirements.

Disclosed is a three-dimensional object model reconstruction system and method based on laser images. The system comprises a computer, a single chip microcomputer, a stepping motor, a rotary cradle head, a laser device, a camera, a chessboard calibration plate and a three-legged support. The reconstruction process includes: according to a classical Zhang Zhengyou chessboard calibration method, acquiring calibrated images and generating camera parameters through a hardware system; and controlling the single chip microcomputer by the aid of software so as to control the stepping motor in real time, enabling the surface of a target object to be scanned by laser rays by 360 degrees, performing real-time shooting by the camera to obtain a target image, importing the target image into the computer to be used for selective acquisition of point cloud, obtaining a spatial three-dimensional coordinate of the point cloud by the aid of a laser triangulation measurement method, and reconstructing a three-dimensional model of the target object.

The invention discloses a method which utilizes FPGA to carry out the floating-point FFT processing, and relates to the signal processing technical field. The method aims to avoid the deficiency of the prior FFT processing method, exceeds the universal DSP processing method in the operation efficiency, and can finish the whole FFT processing in a shorter clock cycle. The method has the realization process that the input data are processed to be floating-point numbers; floating-point data are stored into an intermediate data memory 1 in order; the data are read from the intermediate data memory 1 to carry out a butterfly operation, and the processing result is stored into an intermediate data memory 2; the data are read from the intermediate data memory 2 to carry out the butterfly operation, and the processing result is stored in the intermediate data memory 1; the two operations are alternatively carried out until the FFT processing is over; the operation result is read from the intermediate data memory 1 or 2 according to the inverted order of the address; the output floating-point data are processed to be fixed-point numbers, and are output together with the floating-point result. The invention is applicable to the digital signal processing technology field, such as radar, communication, images, etc.

The invention provides a satellite-borne multichannel aerial SAR data channel magnitude-phase error correction platform, wherein, ratio results of magnitude-phase characteristics of other channels and a magnitude-phase characteristic of a selected standard channel can be obtained after selection of the magnitude-phase characteristic of the channel as criterion and complex division operation of the magnitude-phase characteristics of the other channels and the magnitude-phase characteristic. When actual data is processed, that the magnitude-phase characteristics of the other channels except the standard channel is divided by the corresponding ratio results is only needed, thereby errors which are led in by a signal generator are avoided; in addition, though the magnitude-phase characteristic of the selected standard channel is not completely ideal, occurrence of false targets in the azimuth direction can be effectively prevented and an ideal azimuth direction image performance index can be obtained due to the fact that data of each channel is provided with the same magnitude-phase characteristics after magnitude-phase error correction. Simultaneously, error compensation effects are evaluated and adjusted by self adaptive means from the imaging angle, thereby satisfactory compensation effects are obtained.

The invention relates to a damping and vibration reduction cutter rod. The knife rod includes: a knife handle (2) and a cutter head (1) arranged at the lower end of the knife handle (2), and a cylindrical cavity (4) is coaxially arranged in the knife handle (2). Damping particles (5) are sealed and filled in the cylindrical cavity (4). The present invention has the advantages that: 1) the anti-vibration cutter of the particle damping and vibration-reduction system is used in the vibration-damping cutter bar, which can realize a large length-to-diameter ratio at a relatively low cost, making the processing process simpler and more efficient. high. 2) The vibration-damping tool holder of the present invention can improve the machining precision of the tool and prolong the life of the tool. 3) At the same time, in mechanical processing, the use of vibration-damping tools can improve the quality of surface processing and greatly improve work efficiency, especially in boring tools, using this vibration-damping tool bar to bore and cut deep holes, improve the quality of the inner surface and speed up boring Cutting speed will help a lot.

The invention relates to the technical field of petrochemical industry, especially to a gas-liquid separator for separating a gas phase flow from a liquid phase flow in a mixed gas-liquid flow. The space inside the shell of the gas-liquid separator is divided into a liquid collection zone (6), a cyclone apocenosis tail gas coalescence zone (7), a cyclone separation zone (8), an ascension pipe separation zone (9) and an ascension pipe exhaust tail liquid coalescence zone (10). A first-stage separation adopts cyclone separation; a second-stage separation adopts ascension pipe ejection separation or vortex separation; and a third-stage separation adopts a froth killer to further purify gases, so as to realize complete gas-liquid separation. The gas-liquid separator provided by the invention has a flexible structure and structure arrangement is optimized. More than two cyclone separators and the ascension pipe separator over the cyclone separators are integrated for the first-stage and second-stage separation. In the ascension pipe separation zone, exhaust momentum of the cyclone separators is utilized to strengthen the separation effect and realize the secondary separation process. The structure of the froth killer is improved so as to strengthen the separation effect as a whole.

The present invention discloses a method of reconstructing a three-dimensional dental model based on photos or videos, and a method of reconstructing the three-dimensional dental model based on RGBD images, and relates to the field of image processing. The first method is composed of an incremental approach and a global approach. According to the incremental approach, in the condition that when a generated dental model is not complete enough, or a certain key area of the generated dental model is not clear enough, photos shot at new angles are additionally provided and subjected to treatment, so that a better generating effect is realized. According to the global approach, in the condition that the key areas of the dental model can be clearly expressed when shot at fixed and complete shooting angles, the dental model is generated through one shot without the manual determination or the manual intervention. According to the RGBD approach, the depth information does not need to be calculated, so that the calculation of non-RGBD images is optimized. When the depth information is calculated, the accuracy of the acquired depth information based on RGBD images is higher than that of to-be-estimated non-RGBD images. According to the technical scheme of the invention, corresponding optimization schemes are respectively provided for the above three approaches. Therefore, process flows are reduced and the processing accuracy is improved.

The invention relates to a double-shaft centrifuge based gyro accelerometer testing method. Two grating strips are arranged on a reversal platform, grating reading heads are arranged on a large arm of a centrifuge, a connection line of the two grating strips passes through the axle center of the reversal platform, after the installation is finished, a main shaft of the double-shaft centrifuge and the reversal platform can operate at different rotating speeds and are always in a reversal synch state. By making the time of integer circle or semicircle rotation of the double-shaft centrifuge as a sampling period, the output pulse number of a gyro accelerometer under test is read, and then a calibration result of each error model coefficient is obtained by using a regression analysis method. The testing method can be used for accurately calibrating high-order error term coefficients and particularly the K2 term of the gyro accelerometer, and meanwhile, the data processing accuracy is increased.

The invention discloses a correlation analysis method and system for wireless network alarm management, and the method comprises the steps: collecting X pieces of alarm information in a current network in real time in a mode of distributed alarm collection, wherein X is a natural number greater than one; carrying out the filtering of the X pieces of collected alarm information, so as to remove thealarm information which is not correlated with the fault alarm management and / or error alarm information, and obtain Y pieces of to-be-processed alarm information, wherein Y is not less than one andis less than X; carrying out the normalization processing of the Y pieces of to-be-processed alarm information, and obtaining Y pieces of alarm information with the consistent alarm information specification; carrying out the correlation analysis of the Y pieces of alarm information, recognizing the types of the Y pieces of alarm information and / or the correlation between the Y pieces of alarm information according to a correlation analysis result, determining fault equipment corresponding to the alarm information, and achieving the fault alarm management of the fault equipment.

The invention belongs to the field of computer natural language processing, and relates to a method for carrying out high-quality syntactic analysis on human natural language sentences, in particular to a syntactic analysis method based on sliding semantic string matching. The method is characterized in that when a rule base is built, hierarchic flattening transformation is firstly carried out on a usual phrase syntax tree, then semantic code labeling is carried out on the chunking information of each layer, and therefore the chunking rules of context-sensitive grammar of N elements are extracted; in the syntactic analysis process, the optimal chunking rules are matched to carry out stacking chunking type analysis through a sliding semantic string matching model; errors in the lower layer are found and corrected in the higher layer through an error correction template, and heuristic backtracking in the stacking chunking type syntactic analysis is achieved; template information is directly added to a semantic template index, and a machine can learn new syntactic rules immediately. The method solves the problems that a PCFG type syntactic analysis level can hardly be further improved and the correct chucking rules are hard to choose in the stacking chunking type syntactic analysis, and improves the existing syntactic analysis level.

The invention relates to an intelligent extraction method of a build-up area on the basis of nighttime light data. The intelligent extraction method comprises the following steps: adopting an adaptive particle swarm optimization algorithm to realize the optimal selection of the selection parameters of a VIIRS (Visible Infrared Imaging Radiometer Suite) nighttime light image sample and a MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index image sample; adopting a region growing algorithm based on SVM (Support Vector Machine) classification to finish SVM model training, and adopting a cross validation method to carry out precision validation on the model; and according to an optimized parameter, determining a city sample and a non-city sample, and adopting the region growing algorithm based on the SVM to extract a city built-area range. By use of the intelligent extraction method, from a sample selection source, the adaptive optimization of a sample selection parameter is carried out, and the SVM and the region growing algorithm are adopted to improve processing efficiency and precision for the nighttime light data to extract the nighttime light data.

The invention relates to an information extraction method applicable to a hyperspectral image, sequentially comprising the following steps of: firstly, acquiring an imaging spectral image; secondly, resampling a ground object sample standard spectral curve; thirdly, finding an obvious wave band of the ground object sample standard spectral curve and judging the wave band; fourthly, resampling theimaging spectral image; fifthly, carrying out secondary resampling on the ground object sample standard spectral curve; sixthly, judging a type of a spectral genetic wave band; seventhly, comparing the ground object sample standard spectral curve with the type of a corresponding wave band in an image element spectral curve of the imaging spectral image, and judging whether the same ground object is represented; and eighthly, obtaining a sum of depths of all the spectral gene wave bands, wherein the larger the sum of the depths of the spectral gene wave bands is, the higher abundance of the ground object on earth surface is. By adopting the information extraction method disclosed by the invention, amount of data processing is reduced, interference of characteristic sum noise of other ground objects is reduced, processing speed and accuracy are improved, and good effect on processing of the hyperspectral image is achieved.

The invention discloses a binocular stereo matching method based on a joint up-sampling convolutional neural network. The method comprises the following steps: firstly, carrying out feature extractionon an input three-dimensional image pair by utilizing a two-dimensional convolutional neural network based on joint up-sampling; constructing an initial three-dimensional matching cost amount of thematching cost by splicing the features of the three-dimensional image pairs, further performing cost aggregation on the matching cost amount by adopting three cascaded three-dimensional convolutionalneural networks based on joint up-sampling, and finally obtaining a dense disparity map with sub-pixel precision by utilizing a regression method. Compared with an existing binocular stereo matching deep neural network, the convolutional neural network based on pyramid joint up-sampling is adopted in the decoding stage of the feature extraction and cost aggregation steps; and by fusing multi-leveland multi-scale context feature information, more detail textures can be effectively reserved in the up-sampling process, the calculation efficiency of the method is improved by adopting depth separable convolution with low calculation complexity, and the disparity map quality of binocular stereo matching is improved.

The invention discloses an image denoising method capable of quickly and effectively retaining edge and directional characteristics. After an image is subjected to wavelet transform, a low-frequency subimage centralizes most energy noise in an original image and is subjected to secondary Wiener filtering to highlight the details of a fusion image; since the image noise is mainly centralized in wavelet high-frequency subimage parts in three different directions, the coefficient of the image noise is small, denoising processing is carried out by singular value decomposition, a high-frequency diagonal subimage is subjected to the singular value decomposition with a high-frequency subimage in line direction or a high-frequency subimage in column direction after rotating to the line direction or the column direction, and meanwhile, the high-frequency subimage is subjected to edge extraction and retaining in order to avoid losing edge detail information; and finally, the denoised low-frequency and high-frequency subimages are subjected to inverse wavelet transform to reconstruct a final denoising image. Singular value numbers required for singular value reconstruction images are jointly determined through a peak signal to noise ratio of the image and a traditional method.

The invention relates to a fast and accurate depth inversion method of transient electromagnetic data. According to the delay time equivalent simple relationship in a periodic and transient electromagnetic method of a magnetotelluric method, a Bostick inversion method of the magnetotelluric method is adopted for building an initial model, the Bostick depth is taken, and finally, the thickness and the electric resistivity of each electric layer are sequentially adjusted according to differences between measured values and apparent resistivity theoretical fitted values calculated through inversion. The invention has the advantages that the method is simple and convenient, the operation is easy, good processing effects are realized on theoretical data and actual measurement data, the fast inversion can be realized to obtain the depth conforming to the geologic structure, and the data processing speed and the explanation precision of the transient electromagnetic method are greatly improved, so the great development and the application of the method technology are promoted.

The invention provides a similar video processing method and device based on artificial intelligence, electronic equipment and a computer readable storage medium. The invention relates to the big datatechnology in the field of cloud technology. The method comprises the following steps: carrying out multi-dimensional feature extraction processing on an image in a video, and carrying out fusion processing on extracted multi-dimensional feature vectors to obtain an image vector of the image; performing feature extraction processing on the audio in the video to obtain an audio vector; performingfeature extraction processing on the text in the video to obtain a text vector; performing fusion processing on the image vector, the audio vector and the text vector to obtain a video representationvector of the video; taking the vector similarity between the video representation vectors of any two videos as the video similarity between the two videos; and processing the two videos according tothe video similarity. According to the invention, the video processing precision can be improved.

The invention discloses a multi-baseline and multi-band InSAR phase unwrapping method based on Chinese remainder theorem, which comprises the following steps: 1. respectively obtaining N multi-baseline InSAR interferograms, the ratio of any two baselines after registration of which is a rational number, and N multi-band InSAR interferograms; 2. calculating phase difference of adjacent pixels; 3. constructing a modulus ratio according to a wavelength ratio, thus constructing an integral cycle number ni and a residue number fi; 4. establishing congruence equations about a fuzzy number of fuzzy phase differential; 5. calculating p; 6. calculating the fuzzy number ki; 7. calculating interferometric phase differential after unwrapping, and 8. calculating the unwrapping phase Phiui of any pixel element in the interferograms. The method makes full use of the existing InSAR data, gives full play to the advantages of low processing difficulty and high processing accuracy of the technology of obtaining DEM through the multi-baseline and multi-band InSAR, effectively solves the problem of phase unwrapping of aliasing interference fringes in under-sampled situations in undulating terrain areas and improves the solvability and accuracy of the phase unwrapping.

The present invention provides a method for constructing spaceborne SAR signal high precision phase-keeping imaging processing platform, comprising the following steps: 1) solving the spaceborne SAR data imaging processing parameters; 2) reading spaceborne SAR echo data in frame and storing in the form of two dimension complex array; 3) performing Fast Fourier Transform in the oriental direction;4) carrying out Doppler centroid circular shifting in the range-Doppler domain; 5) signal interpolating in range-Dopper domain; 6) performing Fast Fourier Transform in the distance direction; 7) performing distance migration correction and compression on data in wave-number domain, finishing focusing in distance direction and compensating residual complex constant phase terms; 8) performing FastInverse Fourier Transform in the distance direction; 9) focusing in oriental direction in range-Dopper domain and compensating residual complex constant phase terms; and 10) performing Fast Inverse Fourier Transform in the oriental direction and compensating linear phase error caused by circular shifting. The method can fast and flexibly finish the phase keeping-imaging processing of SAR signal.

The invention provides a target detection method and device. The method comprises the steps of obtaining a target candidate area in a to-be-detected image; determining at least two component candidateregions from the target candidate regions through an image segmentation network, each component candidate region corresponding to one component of the to-be-detected target, and extracting the localimage features corresponding to each component candidate region from the to-be-detected image; learning each local image feature of each part candidate region through a bidirectional long short time memory network (LSTM) to obtain a part relation feature for describing a mutual relation between the part candidate regions; and detecting the to-be-detected target in the to-be-detected image according to the component relationship characteristics. According to the invention, the image data processing precision of target detection can be improved, the diversity of application scenarios of target detection is enhanced, and the accuracy of the target detection is improved.

The invention relates to a method for rapidly and accurately correcting frame influence for transient electromagnetic data. The method provided by the invention comprises the following steps of: utilizing a centre loop line late stage apparent resistivity computational formula and a skin depth evaluation formula to calculate corresponding view depth construction thickness, namely resistivity forward model according to field measured data; calculating a frequency domain electromagnetic field of the center position and an actual position of a transmitting loop line through the formula according to the given model, and calculating the forward modeling time domain secondary field value of the center position and the actual position of the transmitting loop line of the point through the formula; and calculating a corrected parameter according to the formula, calculating corrected actual measurement normalization induced electromotive force according to the formula, presetting a number in advance, if the error meets the condition, finishing a corrected process, if not, repeating the all the steps, and until meeting the condition. The correction method provided by the invention can rapidly effectively eliminate influence brought by a frame effect in a qualitative interpretation, and greatly improve data processing speed and interpretation precision of a transient electromagnetic method,,thereby pushing the wide margin development and application of the method of the technology.

The invention relates to a process for treating oil-containing waste water for a ship. The process comprises the following technical steps of: performing solid and liquid separation, coalescing separation treatment, adsorbing separation treatment and the like on pretreated ship oil-containing waste water sequentially. When the oil content in supplied water is less than or equal to 500 mg / L and the turbidity of the supplied water is less than or equal to 200 NTU, the oil content in discharged water quality is less than or equal to 1 mg / L and the turbidity of the discharged water quality is less than or equal to 5 NTU; and the national standard of the Integrated Pollutant Discharge Standard GB8978-1996 can be met. The method is high in treatment capacity of purifying the oil-containing waste water, namely the waste water treatment amount is up to 10 to 100 m<3> / hr, and is high in purifying efficiency, namely the oil removal rate is more than 99 percent and the turbidity removal rate is more than 90 percent. The process for treating the oil-containing waste water for the ship can be also applied to various types of oil-containing waste water, such as oil-field reinjected water, oil-base oil-containing waste water, metallurgical oil-containing waste water, steel factory oil-containing waste water, machined oil-containing waste water and the like, so that the treated oil-containing waste water can be treated until reaching the standard, and waste oil resources can be recycled.

The invention discloses a method for image stitching based on mean value duplication removal. The method comprises the following steps: firstly respectively separating a first overlapped image and a second overlapped image from a first image and a second image, thus separately conducting mean value processing on the first overlapped image and the second overlapped image, which reduces image processing work compared to direct processing of the first image and the second image and is conducive to increasing image processing efficiency. According to the invention, the mean images obtained after the processing of the first overlapped image and the second overlapped image are intended for covering a stitched image between the first image and the second image through the stitching of mutual covering of the overlapped parts, so that a first feature image and a second feature image undergo transition stitching through the mean value images, which avoids pixel hopping caused by direct stitching with no transition of the stitched image of the first feature image and the second feature image.

The invention discloses an ultra-large type plate shearing machine plate shearing edge curve detection system and method. The plate shearing edge curve detection system mainly comprises an optical imaging unit, an image acquisition and processing unit and a main control computer. The plate shearing edge curve detection method includes the following steps: first, CCD sensors and lenses which are installed on an ultra-large plate shearing machine are utilized to perform real-time image acquisition on a plate shearing edge under cooperation of strip-shaped light sources; after preprocessing of collected images, the images collected by adjacent industrial cameras are spliced, an image edge is detected after edge burrs are removed, and finally a coordinate axis and coordinate points are selected and a fitting technology is utilized to detect an actual machining curve of a sheared plate. The ultra-large type plate shearing machine plate shearing edge curve detection method utilizes image real-time acquisition and image processing technologies to detect the plate shearing edge curve, and the detection method can achieve higher detection precision and detection efficiency compared with a traditional detection method.

The invention discloses a random drift real-time filtering method for a fiber-optic gyroscope. Compared with the prior art, the method comprises the following steps: in a marine strap-down navigation attitude system, de-noising an acquired fiber-optic gyroscope signal in real time; decomposing data in a sliding data window according to the appointed number of layers through a second generation wavelet lifting algorithm to obtain wavelet coefficients of each layer and scale coefficients of the last layer; establishing corresponding threshold rules for the decomposed wavelet coefficients of each layer, and performing threshold quantization; combining the processed wavelet coefficients and the scale coefficients of the last layer, and progressively reconstructing the scale coefficients of each layer to obtain a de-noised signal. By virtue of the random drift real-time filtering method for the fiber-optic gyroscope, the real-time de-noising accuracy and the reaction speed of the fiber-optic gyroscope signal are effectively improved, so that attitude information errors are further suppressed. In an application process, parameters such as the width of the data window and the number of wavelet decomposing layers are easily set and can be set according to an experience value obtained by a simulation experiment.

The invention relates to the communication technology and discloses a method and a system used for providing real-time monitoring for webpage service of a mobile terminal. According to the system, a computer is equipped with a simulator of at least one mobile terminal operation system. The method comprises steps that the simulator of the at least one mobile terminal operation system operates in the computer; the mobile terminal operation system operates in the simulator; an application program operates in the mobile terminal operation system, a url is loaded through a webview control; a to-be-monitored page is acquired through the url, and service availability analysis on the page is further carried out; if a non-available service state occurs, an alarm information is generated. According to the method, the simulator of the mobile terminal operation system is mounted and operates in the computer, no flow of a user is consumed, developing corresponding back-end service at the url or adding the error log burying point information to an interface are not needed, and development workload and the error generation probability are reduced.

The embodiment of the present invention discloses a speech processing method and device, a storage medium, and electronic equipment. The speech processing method includes the steps: acquiring originalvoice, inputting the original voice into a generative sub-model of a pre-trained GAN (Generative Adversarial Network) model if the original voice is reverberation voice, wherein the generative submodel is used to perform dereverberation processing of the original voice, and the output voice of the generative submodel is determined as dereverberation voice. By adopting the above scheme, the methodachieves the dereverberation of the original voice input by the user based on the GAN, and the voice features of the original voice do not need to be extracted, so the method quickly obtains the high-precision dereverberation voice, thereby improving the processing efficiency and processing precision of the original voice signal.

The invention relates to a frequency measurement device and a method, belonging to the technical field of a power system. The frequency measurement device comprises a central processing unit, a filter circuit and a timer; the filter circuit and the timer are respectively connected with the central processing unit; the filter circuit is used for converting sine-wave electric signals into square-wave electric signals with the same cycle as the sine-wave electric signals; the timer is used for recording the time of occurrence of turning of the square-wave electric signals; and the central processing unit is used for receiving the square-wave electric signals output by the filter circuit, reading the occurrence time recorded by the timer, determining the turning cycle of the square-wave electric signals, and then determining the frequency of the sine-wave electric signals according to the turning cycle. Since the sine-wave electric signals are converted into the square-wave electric signals within the same cycle as the sine-wave electric signals, and the hardware for capturing the turning of the square-wave electric signals can be realized conveniently and has high processing accuracy and speed, the efficiency of measurement of the frequency of the sine-wave electric signals is increased.

The invention discloses an error registration method for track fusion of a multi-radar system, which comprises the following steps: calculating the registration errors of a single radar by using multi-radar integrated track information, the positioning information of single radar participating in the integrated track fusion, fusion time information and other parameters; and correcting the positions of single radar with the registration errors, and joining the corrected data to the fusion. Three steps of the fusion, the error registration and the correction are periodically performed, and registration error is subjected to iteration treatment. The invention can correct systematic errors and meet real-time requirement of track fusion of the multi-radar system.

The invention relates to an underwater laser time service system and method based on Beidou. The underwater laser time service system based on Beidou comprises an unmanned aerial vehicle mobile base station which is used for receiving navigation signals and time service information t transmitted by Beidou satellites, carrying out navigation according to the navigation information, moving to a position above an underwater time service receiving device, obtaining precise time according to time service time t, generates a laser signal comprising the precise time and transmitting the laser signal to the underwater time service receiving device; and the underwater time service receiving device which is used for receiving the laser signal, carrying out analysis to obtain standard time of the unmanned aerial vehicle mobile base station, detecting depth information h<2> of the position at which the underwater time service receiving device is located, carrying out data processing on height information h<1>, laser transmitting angle information theta, the depth information h<2> and a water refractive index n through combination of the refractive index n of the water area, thereby generating transmission delay tau, and obtaining the time service time T through combination of the time service information t and the transmission delay tau. Compared with the prior art, the system and the method have the advantages that the transmission delay resulting from signal transmission can be reduced, the anti-interference capability is improved, and the underwater time service precision is improved.

The invention provides a method and a system for detecting peak value of a photoelectric signal. The method comprises the steps of performing segmental reading on an original photoelectric signal; interpolating preset amount average value parameters into the front end and the back end of each data field which is segmentally read; selecting a mother wavelet function for performing one-order derivation and two-order derivation on segmental data after processing; extracting a maximum value point of a one-order derivative and a second-order derivative maximum value point of second segmental data; determining a peak position in each second data field; and calculating the peak width and peak height in each second data field according to the peak position in the second data field, and acquiring the peak value of the original photoelectric signal. In the whole process, the average value parameter is interpolated into the front end and the back end of the data field of the original photoelectric signal, thereby improving processing precision to the original photoelectric signal; the mother wavelet function is utilized for performing one-order derivation processing and two-order deviation processing on the data field after interpolation, thereby accurately determining the peak position; and additionally, no complicated filtering processing on the original photoelectric data is required, thereby remarkably improving peak detecting efficiency on the original photoelectric signal.