39results about How to "Improve conversion accuracy" patented technology

A text-to-structured query language conversion method based on a large language model comprises the steps that database outline information is cut, and tables and columns needed by query of a non-target structured query language SQL are eliminated through correlation scoring and Steiner tree problem solving; screening context samples, predicting a similarity score from a text to a structured query language Text-to-SQL by using a cross encoder language model, and selecting a sample most related to a query problem; and injecting the cut database table and column information and the screened context sample into a cue word template, and generating an SQL query statement by using a large language model. The method can be used for optimizing the automatic conversion process from the natural language to the SQL and improving the conversion accuracy, and is used for providing a quick and convenient database retrieval mechanism for a non-SQL user and providing applications such as a data access mode in a wider form for mechanisms such as big language model retrieval enhancement generation RAG and the like.

The invention relates to the technical field of language recognition, in particular to a multi-dialect voice text conversion system and processing method, and the system comprises an audio collection module which is responsible for collecting voice input of a user and supports PCM, MP3 and WAV formats and sampling rates of 16kHz and 44.1 kHz; the dialect detection module is used for recognizing a dialect type of voice input by utilizing a pre-training language classifier; the voice feature extraction module is used for converting the voice signal into feature representation, such as Mel spectrum and MFCC (Mel Frequency Cepstrum Coefficient); the multi-dialect speech recognition module is used for mapping the features into a text sequence based on a speech recognition model of multi-task learning; and the text post-processing module is used for outputting a final standardized text according to a language rule and a context optimization recognition result. The multi-dialect support covers main dialect languages and can be quickly expanded to new dialects through transfer learning.

The invention discloses a high-low voltage power monitoring system, and relates to the technical field of power monitoring. The high and low voltage power monitoring system comprises an electric signal data acquisition module; a communication line monitoring module; a signal sampling module; and an emergency repair module. The electric power data of the wire inlet end of the electric power system in the preset time period are collected in real time, electric signal processing is carried out to obtain the electric signal data, and then the electric signal data in the operation process of the electric power system are monitored in real time according to the communication line in the electric power system and data transmission is carried out. Meanwhile, signal extraction is carried out on the electric signal data in the data transmission process to obtain fundamental wave signals, sequential sampling is carried out, and finally the fault type and the fault position of the power system in the operation process are recognized according to the obtained abnormal load index, so that the real-time obtaining accuracy of the electric signal data in the power line is improved. The problem of low accuracy of real-time acquisition of electric signal data in a power line in the prior art is solved.

The invention discloses a method and a system for transmitting a unified global elevation reference by using a no-load time-frequency signal. The method comprises the following steps: acquiring a time-frequency observation value transmitted based on the no-load time-frequency signal; calculating the gravity potential difference of the two ground stations based on the transmitted time-frequency observation values; according to the gravitational potential difference and the altitude conversion model, the altitude of the ground station to be measured on the regional geoid is obtained; according to the elevation conversion relation between the regional geoid and the globally unified elevation datum plane, the altitude on the regional geoid is converted to the globally unified elevation datum plane. According to the method, the defects of high cost, low efficiency and poor precision of traditional altitude measurement can be overcome, cross-sea elevation measurement is realized, global elevation datum unification is realized at centimeter-level precision, an elevation datum unification principle is combined with a time-frequency transmission technology, and a brand-new research method is provided for realizing global elevation datum unification.

The invention relates to the field of text generation, and particularly discloses an LLM recursive refractory recall and self-correct-based NL2SQL method and system, the method comprises the following steps: driving LLM to generate an initial recall table set according to user query and table element information of a database, performing recursive extension on a table in SEEDSET, supplementing a missing table according to VFK in a virtual database environment, constructing SQLGENPROMPT by using FINRECALLSET and SQLHINT, and performing recursive extension on the missing table in the virtual database environment. If the execution fails, recording an error, performing correction according to a prompt, repeating the process until the maximum correction frequency is reached, if an SQL query return result is null, judging whether the result is caused by a false filtering condition through NLI and vector retrieval, and if it is determined that the filtering condition has an error, correcting a filtering value in the SQL, updating a query statement and performing re-execution to ensure that the SQL result is accurate. And sorting all successfully executed SQL query statements according to quality, selecting an optimal query statement as final output, and returning an SQL result required by a user.

The invention discloses a discrete time increment type analog-to-digital converter and a control method thereof, the analog-to-digital converter comprises a modulator and a digital filter, and the modulator comprises an integrator module, a single-bit quantizer, an FIR feedback digital-to-analog converter, a first compensation path and a second compensation path. The control method comprises the following steps: carrying out noise shaping processing on an input signal and an output signal of a single-bit quantizer to obtain a preliminary output signal; and the digital filter is used for filtering the preliminary output signal to obtain an output signal of the analog-to-digital converter. According to the analog-to-digital converter, hardware consumption and digital power consumption can be reduced, the conversion precision of the analog-to-digital converter is improved, and the signal distortion degree of the analog-to-digital converter is reduced. The circuit can be widely applied to the technical field of mixed signal circuits.

The invention relates to the technical field of computers, and discloses a data correction method, system and device and a storage medium, the data correction method comprises the following steps: obtaining a voice recognition result and a subtitle recognition result of a multimedia file, the subtitle recognition result comprising a subtitle array recognized from the multimedia file at a plurality of time points; extracting a voice sub-character string from the voice recognition result, and extracting a target subtitle array from the subtitle recognition result, wherein the target subtitle array and the voice sub-character string are located in the same time period; combining the target subtitle array into different subtitle sub-character strings, and searching a target subtitle sub-character string having the maximum similarity with the voice sub-character string in the subtitle sub-character strings; and correcting the voice sub-character string according to the target subtitle sub-character string.

The invention discloses a high-linearity high-order prediction type SAR ADC (Synthetic Aperture Radar Analog to Digital Converter) and a switch switching method thereof. A capacitor array, a coarse comparator, a low-noise comparator, a signal prediction module and an SAR logic module which are arranged in a mirror image manner at a P end and an N end are integrated. The P-end capacitor array and the N-end capacitor array are connected with the signal prediction module through respective input switches, and the output of the prediction module is connected with the coarse comparator for preliminarily determining the high-order value of the SAR logic module. The SAR logic module introduces a redundancy by controlling the connection mode of the switch S5 and the switch S6 according to the result of the coarse comparator. And the output of the SAR logic module is also connected with a decoding module so as to realize final digital signal output. According to the invention, the number of capacitors required for realizing the high-precision SAR ADC is greatly reduced, the technical problem of design complexity caused by capacitor mismatch is relieved, and the linearity and conversion precision of the ADC are improved.

The invention provides a nuclear power logic configuration automatic conversion method and system, and relates to the field of nuclear power stations, and the method comprises the steps: constructing a logic diagram module and a configuration diagram module; obtaining and traversing a to-be-converted logic diagram and page information thereof to obtain corresponding logic diagram module information; identifying and decomposing the corresponding logic diagram module information to obtain decomposed logic diagram module elements; constructing a module mapping rule, and forming a mapping relationship between the logic diagram module and the configuration diagram module based on the decomposed logic diagram module elements; constructing a parameter mapping table according to the formed mapping relation, and writing the parameter mapping table into an xml configuration file to realize automatic connection between the logic diagram module and the configuration diagram module to obtain a converted logic configuration legend; and converting the converted logical configuration legend into a logical configuration graph based on an automatic sorting rule. According to the method, the information, needing to be embodied in the configuration, of the logic diagram can be quickly and completely converted, the conversion accuracy is improved, intermediate link iteration is reduced, and engineering efficiency is greatly improved.

The invention discloses a conversion method from an SACS model to an ANSYS model suitable for an ocean platform. The conversion method from the SACS model to the ANSYS model suitable for the ocean platform comprises the following steps: S1, reading geometric dimension information in an SACS general structure model; s2, reading boundary condition information in the SACS model; s3, reading structural member density and load information in the SACS model; s4, generating a corresponding ANSYS finite element model according to the information read in the step S1; s5, sequentially dividing grids of rod pieces and decks in the ANSYS finite element analysis model; s6, loads in the SACS model are correspondingly converted into mass points of the ANSYS finite element model, and loading is carried out; and S7, setting boundary conditions of the ANSYS finite element model according to the boundary information extracted in the step S2. According to the conversion method from the SACS model to the ANSYS model suitable for the ocean platform, provided by the invention, the rod piece and load information is quickly and accurately converted into ANSYS finite element analysis software from SACS general structure analysis software, and the efficiency is improved.

The application provides a real-time conversion method for pixels and geographic latitude and longitude in low-altitude photogrammetry, which comprises the following three parts: unmanned aerial vehicle capability confirmation, real-time conversion service implementation deployment for pixels and geographic latitude and longitude in low-altitude photogrammetry, and GIS geographic information platform integration docking. Through real-time data collected by an unmanned aerial vehicle, combined with a computer vision algorithm and a spatial geometric transformation model, the specific pixel points in image data are associated with real geographic coordinates, so that accurate positioning and measurement of ground objects are realized. The application relates to the technical field of low-altitude photogrammetry, and through the cooperative work of real-time data collection by an unmanned aerial vehicle, real-time conversion service for pixels and geographic latitude and longitude in low-altitude photogrammetry, and a GIS geographic information platform, efficient mapping from a photographed image to a geographic coordinate is realized, and accurate and rapid technical support is provided for low-altitude photogrammetry.

The invention discloses a reference power supply fluctuation stabilization method for a successive approximation analog-to-digital converter, which is applied to a sectional successive approximation analog-to-digital converter. Designing a linear charge compensation circuit, and improving a reference power supply circuit of the fine quantization ADC; the reference power supply circuit of the fine quantization ADC comprises a buffer and a linear charge compensation circuit. The linear charge compensation circuit comprises a binary capacitor array used for providing compensation charges and a control circuit, serves as an auxiliary power supply circuit and is used for rapidly stabilizing reference power supply fluctuation generated by most significant bit switching of the fine quantization ADC before comparison of least significant bits, and the conversion precision of fine quantization is improved. According to the invention, the influence of the reference power supply fluctuation on the conversion precision can be reduced, and the conversion speed and the conversion precision of the SAR ADC can be improved; and meanwhile, the requirements on a high-power-consumption on-chip reference power supply driver and a large-area on-chip decoupling capacitor are greatly reduced, and the power consumption and the area overhead of the SAR ADC are reduced.

According to the analog-to-digital converter, the touch chip and the electronic equipment provided by the invention, the residual error sampling and summing circuit is added to the input end of the comparator of the existing analog-to-digital converter ADC, so that the analog-to-digital converter ADC quantizes the residual error obtained by subtracting the previous quantization result from the current input, and no serious residual error attenuation exists in the residual error summing process; the effect of first-order noise shaping can be approximately realized, and the ADC conversion precision can be efficiently improved by further combining with an oversampling technology, so that the ADC is more concise and faster in speed.

The invention discloses a CCUS production well yield metering method based on an oil well indicator diagram. The method comprises the steps that S1, CCUS production well data are collected; s2, solving a downhole pump indicator diagram according to the collected data; s3, establishing a downhole pump indicator diagram opening and closing point intelligent pickup model; s4, based on the pump opening and closing point calculation result, the pump effective stroke and the pump filling degree are calculated, the pump leakage amount, the plunger loss and the crude oil volume coefficient of the oil well pump are analyzed, and the CCUS well yield is obtained; s5, the obtained CCUS well yield is compared with the actual oil well yield, the pump indicator diagram conversion condition and the pump opening and closing piece picking condition are analyzed, if the accuracy in the pump indicator diagram conversion process is lower than a first threshold value, the step S2 is executed, and if the pump indicator diagram opening and closing point recognition effect is lower than a second threshold value, the step S3 is executed; and the precision requirement of oil well yield metering is met. According to the invention, the influence of noise, vibration and other external interference on yield metering is reduced, the yield metering precision is improved, and the digitization, intelligence and automation degrees of the metering process are improved.

The invention discloses a method and system for improving the linearity of an ADC, and relates to the technical field of analog-to-digital conversion, and the method comprises the steps: calibrating and recording capacitance ratio mismatch information, creating a correction table, and generating a correction coefficient; implementing a correction algorithm and dynamically adjusting a correction coefficient; the temperature of the working environment of the ADC is monitored in real time, a temperature compensation algorithm is implemented, and the influence of the temperature on the capacitor performance is compensated. According to the method, the accuracy of the subsequent correction process is ensured, the problem of capacitance ratio mismatch is solved in a targeted manner, ADC linearity errors caused by capacitance inconsistency are reduced, the initial linearity of the ADC is improved, the ADC can better adapt to the change of signal amplitude, high linearity is maintained, nonlinear errors are reduced, and the accuracy of the ADC is improved. According to the invention, the overall conversion precision of the ADC is improved, the influence of temperature on the performance of the capacitor is compensated, the capacitance change caused by temperature fluctuation is reduced, the linearity of the ADC is stabilized, and high-precision conversion under different temperature conditions is ensured.

The present invention relates to the field of digital measurement technology, and discloses a scanning system, a calibration device for the scanning system, and a calibration method. The scanning system includes a laser scanning head and a binocular tracker, wherein the laser scanning head is configured to detect the surface of a part to be measured placed in a tracking area; a plurality of binocular trackers are provided, the tracking fields of the plurality of binocular trackers are adjacent, and the sum of the tracking fields of the plurality of trackers covers the tracking area; the binocular trackers are configured to track the laser scanning head, and the coordinate information of the laser scanning head acquired by the plurality of binocular trackers is based on a tracking coordinate system. The present invention effectively increases the tracking area by providing a plurality of binocular trackers with adjacent tracking fields of view; the plurality of binocular trackers are based on a tracking coordinate system, and the accumulated error in coordinate conversion between the plurality of traditional binocular trackers is eliminated, and the conversion accuracy between the binocular trackers is effectively improved, which is conducive to ensuring the reliability of the measurement data.

The invention discloses a circuit for converting analog signals into PWM signals, and belongs to the technical field of signal transmission application. Comprising a precise sawtooth wave generating circuit and a signal comparison circuit, the precise sawtooth wave generating circuit provides sawtooth wave signals with accurately determined waveform amplitude, and the signal comparison circuit compares the sawtooth wave signals with analog input voltage signals and generates PWM signals with duty ratios linearly related to the amplitude of the analog voltage signals. The method has the advantages that the generated sawtooth wave is high in linearity, the amplitude variation range of the sawtooth wave can be accurately controlled between 0 and the reference voltage VREF, and a stable reference is provided for high-precision comparison; in the measuring range, the duty ratio of the output PWM signal and the amplitude of the input analog voltage are in a strict linear relationship, so that the accuracy of signal conversion is ensured; the duty ratio of the generated PWM signal can be continuously adjusted within the full range of 0-100%, no adjustment blind area exists in a traditional circuit, and the dynamic range and applicability of the signal are improved.

This invention provides an image conversion system and method between Bayer format and quad Bayer format. The system includes an image acquisition module that acquires an original Bayer format image and an original quad Bayer format image; a re-mosaic module that converts the original quad Bayer format image and the generated quad Bayer format image into a Bayer format image; a de-mosaic module that converts the original Bayer format image and the generated Bayer format image into a quad Bayer format image; and an image output module that outputs the generated quad Bayer format image and the Bayer format image. By unifying the re-mosaic and de-mosaic processes within the same system framework, the correlation between Bayer and quad Bayer formats can be better captured, and information loss during format conversion can be effectively reduced. The repeated re-mosaic and de-mosaic processes can also enhance each other, improving the conversion accuracy and quality, thus solving the problem of poor performance in existing Bayer and quad Bayer format image conversion methods.

The application provides an analog-to-digital conversion circuit, a control method, a chip and an electronic device, and belongs to the technical field of electronics. The analog-to-digital conversion circuit comprises a first analog-to-digital conversion module, a second sigma-delta analog-to-digital conversion module and a control module. The first analog-to-digital conversion module is configured to periodically convert an input signal according to a first conversion period and output a first conversion result. The second sigma-delta analog-to-digital conversion module is configured to convert the input signal in a first number of second conversion periods and output a second conversion result, wherein the first number is an integer greater than 1. The control module is configured to determine a target conversion result of the input signal according to the second conversion result and at least two first conversion results. The application can improve the conversion accuracy of the analog-to-digital conversion circuit.

The embodiment of the invention discloses a building model data conversion method, and relates to the technical field of data processing, and the building model data conversion method comprises the steps: obtaining a building data format identifier of each piece of to-be-converted building data in to-be-converted building model data; the to-be-converted building data comprises structured building data and unstructured building data. According to the building data format identifier, a target conversion function of each piece of building data to be converted is determined, and the target conversion function comprises a structured data conversion function and an unstructured data conversion function. And converting the structured building data through the structured data conversion function to obtain structured conversion data corresponding to the structured building data. And converting the unstructured building data through the unstructured data conversion function to obtain unstructured conversion data corresponding to the unstructured building data. According to the embodiment of the invention, the conversion precision and accuracy of data conversion can be improved.

The present application discloses a signal processing circuit and a related touch control circuit, chip and touch device. The signal processing circuit receives a sensing signal sent by a touch panel and converts the sensing signal into an in-phase value and an orthogonal value so that the touch control circuit can judge the touch event on the touch panel. The signal processing circuit includes an amplifier, a bandpass delta-sigma analog-to-digital converter, an in-phase orthogonal demodulator, a digital filter and a downsampling unit. The amplifier amplifies the sensing signal to generate an amplified sensing signal. The bandpass delta-sigma analog-to-digital converter converts the amplified sensing signal into a digital sensing signal. The in-phase orthogonal demodulator demodulates the digital sensing signal into a plurality of in-phase sampling values ​​and a plurality of orthogonal sampling values. The digital filter filters the high-frequency noise in the plurality of in-phase sampling values ​​and the plurality of orthogonal sampling values. The downsampling unit generates an in-phase value based on the plurality of in-phase sampling values ​​and generates an orthogonal value based on the plurality of orthogonal sampling values.

The invention discloses an application system performance testing method and device, a medium and a program product, belongs to the technical field of artificial intelligence, and particularly relates to application of a large model in the field of software testing. Under the condition of determining that the target performance test requirement is valid, inputting the target performance test requirement into the semantic generalization large model; performing semantic analysis on the target performance test requirement through a semantic generalization large model to obtain a target keyword; inputting the target keyword into a rule generation small model, and processing the target keyword through the rule generation small model to obtain a target performance test case; obtaining a target test parameter of the target application system; based on the performance test script template, generating a target performance test script according to the target performance test case and the target test parameters; and executing the target performance test script to obtain a target performance test report of the target application system.

The invention discloses a low-temperature drift time delay circuit for an asynchronous time sequence, relates to the technical field of analog integrated circuits, and aims to solve the problem that the conversion precision of an SAR ADC asynchronous time sequence circuit is reduced due to the fact that an existing time delay circuit is influenced by temperature. The circuit at least comprises a temperature detection coding circuit, an inverter chain circuit and a regulating tube circuit. The regulating tube circuit is respectively connected with the inverter chain circuit and the temperature detection coding circuit, and the regulating tube circuit comprises a plurality of NMOS (N-channel Metal Oxide Semiconductor) tubes which are connected in parallel; the temperature detection coding circuit at least comprises a temperature sensor, a flash memory analog-to-digital converter and a digital coding logic circuit; the flash memory analog-to-digital converter is used for converting the temperature voltage signal into a thermometer code; the digital coding logic circuit is used for converting the thermometer code into a first control code, and the first control code is used for controlling the conduction and cut-off of an NMOS tube in the adjusting tube circuit. According to the low-temperature drift delay circuit provided by the invention, the delay time can be adjusted according to the temperature, and the conversion precision of an asynchronous sequential circuit is improved.

The utility model discloses a current-voltage conversion circuit structure for electroporation delivery. The current-voltage conversion circuit structure comprises a current-to-voltage conversion circuit and a voltage-to-pulse conversion circuit. The current-to-voltage circuit converts current signals into voltage through an input signal processing module, high-precision amplification is achieved through an operational amplifier and a feedback network of a signal amplification module, the driving capacity is enhanced through a transistor cascade circuit, and temperature drift is dynamically compensated in combination with a thermistor. The voltage-to-pulse circuit corrects non-linear errors through a resistance network of the linearization processing module, achieves gain adjustment through an operational amplifier and an adjustable resistor, and finally adapts to load changes through a field effect transistor and a negative feedback network. The circuit realizes high conversion precision, wide temperature range stability and load adaptive capability, and is suitable for high-precision scenes such as medical treatment or beauty electroporation, industrial sensing and the like.

The application discloses a tone conversion method and device, a storage medium and computer equipment, relates to the technical field of artificial intelligence, and mainly aims at improving the conversion accuracy of tone. The method comprises the following steps: obtaining audio data to be converted and a target tone; inputting the audio data to be converted into a preset semantic prediction model for semantic prediction to obtain a semantic information vector corresponding to the audio data to be converted; determining a tone feature vector corresponding to the target tone; performing cross processing on the semantic information vector and the tone feature vector to obtain a tone cross feature vector; inputting the tone cross feature vector into a preset tone conversion model for tone conversion to obtain target audio, wherein the target audio is audio with the target tone and the original tone of the audio data to be converted. The application is suitable for converting tone.

The invention discloses a solution ion detection model based on evaporation energy self-power supply as well as application and a system thereof. The model comprises the following steps: diluting a standard solution of ions according to a concentration gradient to a constant volume, obtaining a series of ion standard samples, obtaining an electric signal when the ion standard samples are evaporated, sequentially converting the electric signal into an analog signal and a digital signal, carrying out imaging processing on the digital signal, obtaining a voltage-time image of the ion standard samples, and calculating the voltage-time image of the ion standard samples. And classifying and summarizing the images according to ion types and concentrations. The model can be used for on-line detection of ions in a solution, an on-line detection system provided based on the model can convert low-quality and easily-dissipated evaporation energy of solution evaporation into electric energy, and on-line detection of the solution can be achieved without sampling and sample pretreatment; the system is simple in structure and low in cost, and can meet the requirements of different detection ions, different detection limits and different precisions in the online detection process.

This invention discloses a method and system for time-scale conversion of parameters in high-frequency real-time flood forecasting models. Addressing the technical shortcomings of hydrological model parameters in minute-level, sub-hourly, and hourly high-frequency forecasting scenarios, such as significant time-scale effects, low efficiency of multi-scale independent calibration, and poor accuracy of direct parameter transfer, this invention constructs multi-time-scale hydrological and meteorological parameter sample sets, establishes a parameter time-scale sensitivity function to screen sensitive parameters, structurally identifies parameter scale variation patterns, constructs quantitative conversion relationships that consider both hydrological physical meaning and value boundaries, forms an expandable parameter conversion knowledge base, and achieves cross-scale and cross-basin adaptive parameter migration, ultimately completing high-frequency real-time flood forecasting and accuracy verification. This invention can quickly achieve multi-scale parameter conversion at 15-minute, 30-minute, and 1-hour scales, with the converted forecast NSE consistently above 0.9, significantly reducing parameter calibration workload and improving the deployment efficiency and simulation accuracy of high-frequency flood forecasts.

The invention discloses a Vcm-based capacitor switch sequential circuit and a Vcm-based capacitor switch sequential method. A first array first capacitor bank, a second array first capacitor bank,..., an ith array first capacitor bank, a first array second capacitor bank, a second array second capacitor bank,..., a jth array second capacitor bank, a first array dummy capacitor bank and a second array dummy capacitor bank in the switch sequence circuit respectively comprise two capacitors which are connected in parallel and have the same capacitance value, according to the improved capacitor array structure, each capacitor is divided into two equal capacitors, the two equal capacitors can be connected with different potentials through a lower electrode plate to achieve three different voltage connection methods, namely Vref, 1 / 2 Vref and GND, the equivalent circuit structure of the capacitor array structure is basically consistent with Vcm-based, but Vcm is equal to 1 / 2 Vref through the arrangement of the two equal capacitors, and the equivalent circuit structure of the capacitor array structure is not equal to GND. The improved Vcm-based capacitor switch time sequence does not need an additional circuit to generate a common-mode level Vcm, does not need a complex bootstrap switch structure, reduces the power consumption and the area, and is suitable for the design of a low-voltage SAR ADC (Synthetic Aperture Radar Analog to Digital Converter).

This application discloses a cross-database dialect intelligent DDL conversion method based on G4 formal grammar comparison. This method uses ANTLR4 G4 formal grammar files as the semantic benchmark and establishes a precise grammatical mapping relationship between the source and target databases through four steps: grammar rule alignment, grammar element mapping, grammar difference marking, and conversion rule generation. Based on a unified AST model, the parsing and generation processes are decoupled. A cross-dialect standardized segment model is constructed through the parsing visitor, and then the target SQL is generated node by node by the translation visitor. It supports three configurable conversion strategies: strict, lenient, and warning, as well as real-time incremental DDL synchronization. This invention has advantages such as high conversion accuracy, comprehensive dialect coverage, low expansion cost, flexible and configurable strategies, and zero intrusion into business systems. It is adaptable to bidirectional DDL conversion of various mainstream databases such as Oracle, MySQL, and OpenGauss.

The present invention belongs to the field of maritime radar and navigation and positioning technology, and specifically discloses a calibration method for multi-radar data fusion of a maritime radar system. The method combines the characteristics of pulse compression radar and electronic scanning radar, and adopts rigid transformation methods such as iterative nearest point algorithm to accurately calibrate the original data of different radars, ensuring the accurate alignment of data in the global positioning system GPS coordinate system, thereby significantly improving the conversion accuracy and consistency of radar data. The method of the present invention significantly improves the stability of the system in complex environments, reduces system deviations caused by inconsistent data, and ensures the reliable operation of ship navigation and collision avoidance systems. The method of the present invention has powerful real-time processing capabilities, can effectively cope with rapid changes in highly dynamic marine environments, and ensures that real-time conversion and fusion of radar data can be achieved when the ship is moving at high speed, ensuring the safe navigation of ships in complex and dynamic environments.