620 results about "Pulse frequency" patented technology

The invention discloses a photovoltaic glass defect detection method and system based on image recognition, particularly relates to the technical field of visual inspection, and is used for solving the problem that defect recognition is interfered by optical artifacts caused by a film layer interference effect on the surface of coated glass. The method comprises the following steps: extracting interference characteristics through a reflection image to generate an optical artifact distribution diagram, positioning an interference region in a transmission image frequency domain space, constructing a process response template in combination with a sedimentary pulse frequency, and executing polarization coherence screening and time-varying deconvolution collaborative filtering to eliminate artifacts; based on energy ratio dynamic decision reinspection or defect classification process implementation, inherent optical noise and real physical defects of a material are effectively separated, and the accuracy and reliability of coated glass defect detection are remarkably improved.

The invention discloses a laser self-adaptive cutting method and system for a heavy special-shaped thickness steel pipe, and relates to the field of heavy special-shaped workpiece cutting technology application, and the laser self-adaptive cutting method comprises the steps that according to a collected surface image of a workpiece, the geometrical shape, surface defects and material texture features of the workpiece are recognized, and thickness distribution information of the workpiece is obtained; obtaining thickness data of different positions of the workpiece based on the thickness distribution information; based on the geometrical shape, the surface defect, the material texture feature and the thickness data, an optimal cutting path is obtained; and based on the optimal cutting path, a laser cutting task is executed, the laser power, the pulse frequency and the cutting speed are automatically adjusted according to the thickness change, and meanwhile, when vibration is detected, vibration is compensated through reverse excitation or dynamic damping adjustment. The key technical problems in heavy special-shaped workpiece cutting are solved, and the heavy special-shaped workpiece cutting device has wide industrial application prospects and extremely high popularization value.

The invention relates to the technical field of polishing, and discloses an intelligent steel rail polishing control method which comprises the following steps: acquiring surface and internal defect data of a steel rail through laser and ultrasonic fusion detection, discretizing the data into multi-dimensional nodes, and constructing a dynamic graph model comprising a microscopic-macroscopic dual-cluster neural network to predict a defect evolution trend; based on fractal dimensions and information entropy, multi-source data are dynamically fused, abnormities are eliminated, chaotic optimization and wear prediction are adopted to generate global optimal polishing parameters, and finally parameter dynamic adjustment is achieved through closed-loop feedback of pulse frequency and control errors. Steel rail defect collaborative perception is achieved through a multi-scale dynamic graph model, fractal-entropy weight dynamic fusion is combined to enhance data reliability, global optimal parameters are generated through chaos optimization and abrasion prediction, accurate grinding is achieved through pulse-error closed-loop control, and the method is simple and convenient to implement. The problems of data fusion failure, defect response lag, parameter local optimization and insufficient control precision in the prior art are solved.

The invention relates to the field of medical instruments, and discloses an anesthesia injury monitoring evaluation and management system for pain monitoring and rehabilitation acceleration. Comprising a sensor module configured to collect acupuncture point skin temperature data in a percutaneous acupuncture point electrical stimulation process, current parameter data output by an electrical stimulation device and skin impedance change data in real time; the control module is used for inputting the temperature data, the current parameter data and the skin impedance data which are acquired in real time into a multi-parameter risk assessment model, calculating a real-time risk value and generating a parameter change curve containing a time sequence; when the real-time risk value exceeds a preset safety threshold value, or any single parameter in the parameter change curve reaches a temperature change rate threshold value, an accumulated electrical stimulation energy threshold value or a skin impedance abnormal fluctuation threshold value, triggering a multi-stage early warning signal; according to the early warning level of the early warning module, the output power, the pulse frequency or the action time of the electrical stimulation device is automatically adjusted, or electrical stimulation is forcibly terminated when early warning is performed at the highest level.

The invention provides a broadband tunable low-phase-noise photo-generated microwave signal source and device, and relates to the technical field of photo-generated microwaves. According to the invention, a low-frequency optical pulse and a high-frequency microwave signal are respectively input into the electro-optical sampling phase-locked loop; and the electro-optical sampling phase-locked loop determines the synchronization error of the optical pulse and the microwave signal based on the phase difference between the optical pulse center point and the microwave signal zero crossing point. And taking the synchronization error as a feedback signal, and continuously adjusting the frequency and the phase of the microwave signal by the voltage-controlled oscillation module until the frequency and the phase are synchronized with the Nth harmonic of the optical pulse. By setting different initial frequencies of the voltage-controlled oscillation module, microwave signals with different integral multiple optical pulse frequencies can be obtained, and broadband tuning of photo-generated microwave signals is realized. Furthermore, the repetition frequency of the frequency comb is locked through beat frequency of two beams of reference laser and two adjacent comb teeth, the stability of the reference laser is transmitted to the optical pulse, and the stability of the reference laser is further transmitted to the microwave signal through synchronization of the optical pulse and the microwave signal, so that the phase noise of the photo-generated microwave signal source is reduced.

The invention discloses an eyelash forming system and method based on a laser cutting film, relates to the technical field of eyelash forming processing, and aims to solve the technical problems of insufficient precision and hot melting deformation in a traditional eyelash process. Comprising a design input and modeling module, a process parameter intelligent optimization module, a cutting path intelligent planning module, a production process intelligent control module, a quality online monitoring and feedback module and a data management and analysis module. The process parameter intelligent optimization module is connected with the design input and modeling module and is used for receiving the initial design scheme and optimizing cutting process parameters of laser power, cutting speed, pulse frequency and light spot diameter by using a machine learning algorithm in combination with a laser cutting process knowledge base and thin film material characteristics; and the cutting path intelligent planning module is connected with the design input and modeling module and the process parameter intelligent optimization module. The eyelash processing device has the advantage of improving the eyelash processing qualification rate and the production efficiency.

The invention provides an intelligent brain-like decision-making method, system and device with a body, and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving a task instruction; analyzing the received task instruction based on a pre-trained large language model, outputting a task description semantic vector, and then carrying out multi-modal data acquisition on the environment to obtain multi-modal perception data; task description semantic vectors are supplemented based on the multi-modal perception data, and task description parameters are obtained; converting the task description parameter into a control signal based on a pre-constructed pulse neural network model, wherein the control signal comprises a plurality of pulse frequencies arranged according to the sequence of the action execution time; and executing corresponding actions according to the sequence of the plurality of pulse frequencies. In this way, the multi-modal perception data and the semantic vectors are combined in the large language model to generate the task description parameters to improve the perception precision of the environment, and the task description parameters of the large language model and the pulse sequence of the pulse neural network are combined to improve the decision response efficiency.

The invention provides a transformer substation switch cabinet partial discharge detection method and system based on a sensor, and relates to the technical field of discharge detection, and the method comprises the steps: deploying an ultrasonic sensor according to a sensing collection channel, accessing a signal processing terminal, and configuring a sensor sensitivity threshold value and a signal sampling frequency; adjusting the signal gain of each monitoring node coordinate corresponding to the sensing acquisition channel, synchronously recording the monitoring time, the monitoring node coordinates and cabinet body temperature parameters, and setting a monitoring association control matrix in combination with a sensor sensitivity threshold and a signal sampling frequency; determining a partial discharge type and discharge intensity based on the signal processing terminal; and generating a discharge characteristic distribution map, and generating a partial discharge detection report in combination with the insulation performance index of the substation switch cabinet, a safe discharge threshold and a pulse frequency threshold. The technical problems that in the prior art, a transformer substation switch cabinet partial discharge detection method is poor in anti-interference capacity and low in recognition precision are solved.

The present invention discloses a pulse generator and a pulse rod, which relate to the field of pulse circuit technology. The pulse generator includes a frequency control unit, a dual closed-loop pulse amplification unit, a digital signal processing unit and an adaptive power management unit. The frequency control unit includes an environmental sensor and a microcontroller. The microcontroller can calculate a preset pulse frequency based on information transmitted by the environmental sensor. The input end of the dual closed-loop pulse amplification unit can receive a pulse signal transmitted by the microcontroller, amplify it to a preset pulse frequency, and provide a pulse current to an electrostatic elimination needle. The digital signal processing unit can digitize the pulse signal to enhance the anti-interference ability of the pulse signal. The adaptive power management unit includes a dynamic voltage regulation module electrically connected to an external power supply, and the dynamic voltage regulation module can dynamically adjust the output voltage. The technical solution provided by the present invention can provide a pulse generator with high stability, a wide adjustment range and strong anti-interference ability.

The invention belongs to the technical field of machine vision positioning and guiding, and discloses a nanocrystalline magnetism isolating sheet vision guiding laser deburring device and application thereof, and the nanocrystalline magnetism isolating sheet vision guiding laser deburring device comprises an image acquisition module, an image preprocessing module, a central control module, a laser module, a positioning module, a collection module, a data analysis module and a display module; according to the visual guidance technology, an advanced visual recognition system is introduced, the burr position is accurately positioned by monitoring the surface state of a workpiece in real time, and therefore the more intelligent laser deburring process is achieved. And laser parameter optimization: parameters such as wavelength, power and pulse frequency of laser are optimized according to different materials and burr types, so that the optimal deburring effect is achieved, and meanwhile, the completeness of the workpiece is ensured. And in the laser deburring process, environment-friendly materials and technologies are adopted, the influence on the environment is reduced, and the safety in the operation process is enhanced.

The invention discloses a semiconductor film performance cooperative control method and system based on multi-parameter coupling, and belongs to the technical field of semiconductor material manufacturing, and the method specifically comprises the steps: determining a control parameter set containing plasma power density and other parameters, and building a multi-parameter coupling response model; generating sample points by using Latin hypercube sampling, quantifying a parameter interaction effect, and forming a dynamic weight matrix in combination with a graph model; monitoring data such as plasma emission spectrum intensity ratio in real time, comparing the data with a model predicted value, and correcting the model; a multi-objective optimization problem is constructed based on the correction model and the dynamic weight matrix, and optimal parameter configuration is solved by using a conjugate gradient method; alternately applying a high-frequency pulse and a relaxation stage according to the optimal configuration, and modulating the pulse frequency according to a Fibonacci sequence; and finally, based on the substrate temperature, planning a temperature rise path by using an S-shaped curve, superimposing cosine modulation, and introducing oscillation compensation gas to compensate the reactant concentration deviation, thereby realizing accurate optimization of the material preparation process.

The invention discloses a novel pulse reinforcement learning driven unmanned system brain-like intelligent multivariate decision-making method. The method comprises the following steps: respectively establishing a state space, an action space and a reward function of detection identification, material delivery and flight maneuvering tasks; designing a pulse event triggering mechanism according to task characteristics, establishing a pulse frequency adjustment model of various tasks, and constructing a scheduling strategy of time division multiplexing and elastic borrowing; establishing a detection identification model, a material delivery model and a flight maneuvering model; a multi-modal variance index is introduced to dynamically adjust a control signal source by fusing a data strategy and a decision-making mechanism of a prior model; a sliding window state matrix is constructed, task priorities are dynamically calculated, and a unified control instruction is generated in a weighted fusion mode. According to the method, the response capability of the system to the multi-source task is improved, the time sequence independence and the scheduling efficiency of the task are guaranteed, and the stability and the controllability of the unmanned system in a complex environment are enhanced.

The invention belongs to the technical field of hard and brittle crystal material micropore machining, and particularly relates to an ultra-precision micropore multi-energy field coupling machining method and system.The method comprises the steps that the laser pulse frequency and power are set according to the workpiece material type and the micropore depth-diameter ratio, and a laser focus is positioned at the inner hole bottom of a workpiece; a modified structure extending in the axial direction of a hole is formed by controlling matching of a light spot and a hole diameter and the movement track of the light spot, in the machining process, a plasma nozzle and laser coaxially move, a modified area is removed in real time, a heat affected zone and the hole shape taper are restrained, meanwhile, vibration is applied to a workpiece through an axial ultrasonic vibration device, and machining precision is improved. And chip discharge is promoted, and stress and crack generation are reduced. The problems of serious thermal damage, poor hole shape precision, low machining efficiency and high energy consumption in the micropore machining process in the prior art are solved, and high-quality and high-precision machining of the high-depth-diameter-ratio micropore of the hard and brittle transparent crystal material is achieved.

The invention relates to a particle size control method, device and equipment for a power grid pressing type atomizer. The method comprises the following steps: collecting an original data set of a voltage grid type atomizer, and determining a target particle size control interval; according to the target particle size control interval, creating an initial intermittent power supply scheme including pulse frequency, pulse width and pulse interval time; executing an initial intermittent power supply scheme, and collecting a current particle size measurement value through a laser scattering sensor; the deviation between the current particle size measurement value and the target particle size control interval is calculated, and a driving parameter adjustment instruction is generated through self-adaptive error compensation; and according to the driving parameter adjustment instruction, correcting the pulse frequency, the pulse width and the pulse interval time in the initial intermittent power supply scheme to obtain a target intermittent power supply scheme. According to the method, the optimal control parameters are formulated for the starting stage, the stable stage and the ending stage respectively, the specific particle size requirements of different atomization stages are met, and real-time high-precision monitoring of the particle size of the fog drops is achieved.

The invention discloses a bidirectional CLLC resonant converter with a wide input and output voltage range, and relates to the technical field of bidirectional DC / DC converters in the field of switching power supplies. According to the bidirectional CLLC resonant converter, bidirectional switching bridge arms are added to a primary circuit and a secondary circuit in a conversion main circuit respectively; the control circuit performs pulse frequency control on a switching tube in the LLC resonant network and also performs duty ratio control on the bidirectional switching bridge arm circuit, so that the gain range of the resonant converter can be further widened on the basis of performing pulse frequency control on the LLC resonant network, and meanwhile, the whole-process soft switching can be realized, and the reliability of the resonant converter is improved. And the efficiency of the converter is improved.

Disclosed in the present invention is a stimulated emission depletion and super-resolution fluorescence lifetime imaging method, which is applied to the technical field of optical microscope imaging. The method provided in the present invention combines the stimulated emission depletion and fluorescence lifetime imaging principles, a depletion laser pulse frequency used therein is half of an excitation light pulse frequency, and a time interval between two pulse sequences is adjusted, such that a depletion laser pulse follows an adjacent excitation light pulse; and analysis processing is performed on collected fluorescence lifetime data, such that a super-resolution fluorescence lifetime image is obtained, thereby solving the problem of the fluorescence lifetime of a stimulated emission depletion and fluorescence lifetime imaging microscope being significantly shortened under the action of a high-energy depletion laser, and thus accurately reflecting real information of a fluorochrome and a micro-environment. Therefore, the innovative technique provides important technical support for life science research, significantly improves the accuracy and effectiveness of research, and promotes further development in the field of biomedicine.

The invention relates to the technical field of chemical reaction equipment, in particular to a pulse intermittent water vapor bottom blowing coupling mechanical stirring enhanced mixing device which comprises a tank body, a sealing cover is mounted on the top surface of the tank body, a stirring assembly used for stirring the interior of the tank body is mounted on the sealing cover, the stirring assembly extends into the tank body, and the stirring assembly is connected with the tank body. An air outlet head is arranged at the bottom in the tank body, the air outlet head is communicated with a steam generation unit through an air supply pipe, and the steam generation unit is electrically connected with a pulse control unit used for sending variable frequency signals with adjustable pulse frequency to the steam generation unit. The steam injection frequency is controlled through the pulse control unit, the use amount of the steam is reduced, local high temperature generated by the system during continuous injection is avoided, the temperature is more uniform, meanwhile, convection can be further strengthened through nonlinear input, the periodic structure of the system is damaged, and the service life of the system is prolonged. And more chaotic flow regions are formed to enhance mixing and heat transfer efficiency, so that the production efficiency is improved, and the energy loss is reduced.

The invention relates to the technical field of cable insulation detection, and discloses a power cable insulation state evaluation method and system based on multi-dimensional feature fusion, and the method comprises the steps: collecting a high-frequency current signal on a cable grounding wire, extracting a power frequency phase, a discharge amplitude and a pulse frequency band width, and carrying out the normalization processing, thereby obtaining a sample set; calculating a local sparseness adaptive factor of each sample point, and calculating an energy weighted local density of each sample point; calculating the relative distance of each sample point, constructing a decision value, and determining the sample point with the larger decision value as a clustering center; calculating the path transmission reliability of the non-clustering center sample points relative to each clustering center, distributing the sample points with the path transmission reliability meeting a preset condition to the corresponding clustering center, and if the preset condition is not met, marking the sample points as noise; and extracting statistical characteristics according to the separated discharge clusters, and evaluating the insulation state of the cable by using a preset fault diagnosis rule base. According to the invention, the accuracy of cable insulation state evaluation can be improved.

The invention provides a pulse frequency adaptive matching method and system for engine combustion chamber carbon deposition cleaning, and the method comprises the steps: obtaining the carbon deposition degree distribution data, cylinder pressure data and engine vibration signals of a target engine combustion chamber uploaded by an edge calculation node; performing dynamic weight fusion on the carbon deposition degree distribution data and the cylinder pressure data to generate an engine state comprehensive score; the initial pulse frequency, matched with the engine state comprehensive score, of the cleaning equipment is searched for in a preset pulse frequency mapping table; generating a pulse frequency correction strategy according to the engine vibration signal in combination with a pre-trained reinforcement learning model; and dynamically adjusting the initial pulse frequency according to the correction strategy to generate a target pulse frequency, and sending the target pulse frequency to the edge computing node to control the cleaning equipment to execute pulse cleaning according to the target pulse frequency. According to the invention, the carbon deposition removal effect is improved, and the equipment vibration risk is reduced.

The invention discloses a zero-balance Dick type radiation circuit and a radiometer, and is applied to the technical field of remote sensing measurement. Wherein the generation demodulation circuit detects and demodulates an initial temperature signal generated by the antenna according to an observed target; the feedback pulse generation circuit is used for carrying out feedback processing on the demodulation temperature signal sent by the demodulation circuit and generating a corresponding pulse frequency; the balance tracking module is used for tracking and filtering the pulse frequency sent by the feedback pulse generation circuit; the reference switch circuit is used for generating a diode noise temperature signal according to the tracking frequency sent by the balance tracking module and the diode temperature signal corresponding to the reference switch circuit so as to determine the antenna temperature and observation information based on the diode noise temperature signal. Therefore, according to the balance tracking module provided by the invention, the convergence speed and precision of the pulse frequency are improved, and the overall steady-state error is reduced, so that the relatively accurate antenna temperature and the observation information of the observed target are determined.

The invention discloses a method for suppressing magnetotelluric mixed noise in a shallow water area. The method comprises the following steps: reading a noisy ocean MT time sequence; setting phase space reconstruction parameters; constructing a phase-space vector to obtain a noisy data matrix; noise priori information is obtained through noise pre-estimation; constructing an original noisy data matrix after noise whitening; performing singular value decomposition to obtain a feature vector and a feature value matrix of a data covariance matrix after noise whitening; selecting a low-order principal component after noise adjustment principal component transformation to reconstruct a denoised data matrix; recovering the denoised data matrix into a time sequence; carrying out Fourier transform to obtain an ocean MT magnetic field component amplitude spectrum, and combining to obtain an ocean MT four-component amplitude spectrum; detecting the frequency point of the pulse in the four-component amplitude spectrum; and setting all amplitudes corresponding to pulse frequency points in the four-component amplitude spectrum to be 0, and performing inverse Fourier transform to obtain a processed four-component time sequence. According to the invention, the ocean magnetotelluric signals can be better processed, and the data quality is improved.

The invention provides a battery charging and discharging pulse frequency detection method and system, and the method comprises the steps: dividing a pulse current signal of a target battery during charging and discharging into a plurality of pulse signal segments, and determining the static deviation of the current of the target battery during charging and discharging based on the local current characteristics of each pulse signal segment; determining the time domain positioning error of the time interval through the static offset and the pulse width of the pulse current signal; monitoring the surface temperature of the target battery during charging and discharging, and determining the disturbance characteristics of the temperature of the target battery during charging and discharging to the current according to all the monitored temperatures and the pulse current signal; and performing pulse identification on the pulse current signal according to all the time domain positioning errors and disturbance characteristics to obtain an effective pulse time mark sequence of the target battery during charging and discharging, and determining an effective pulse frequency of the target battery during charging and discharging based on the effective pulse time mark sequence. According to the scheme, the influence of current signal drift on pulse frequency detection in the battery charging and discharging process can be reduced.

The invention relates to the field of pressure sensors, in particular to a triboelectric pressure sensor and a sleep monitoring method and system. The triboelectric pressure sensor comprises a positive friction layer, a negative friction layer, a deformation electrode connected to the negative friction layer and a flexible electrode connected to the positive friction layer. The contact ends of the tips of the multiple micro-cone structures of the positive friction layer all face the negative friction layer, and gaps are formed between the contact ends and the negative friction layer. The Young modulus of the negative friction layer is smaller than that of the micro-cone structure, so that when the negative friction layer approaches the deformed electrode, the negative friction layer sinks and makes contact with the side face of the micro-cone structure. The change amplitude of the contact surface along with the pressure is large, so that the sensitivity of the sensor is improved. Respiration and pulse frequencies are respectively detected by a triboelectric pressure sensor to obtain electric signals, the electric signals are segmented and enhanced into waves, then the waves are classified by a big data method, a learning model for identifying sleep state categories corresponding to the waves is obtained, the categories are further rapidly and accurately identified, and an alarm is given according to the number of abnormal times. The method and the system have high reliability.

The invention discloses a detection and recognition integrated waveform design method, device and equipment, a medium and a product. The method comprises the following steps: dividing the time length of a waveform according to a time element, a time frame and a time slot structure; for each time slot, a time slot waveform frame structure is set to be composed of a jitter segment, a synchronization segment and a data segment, and the data segment comprises a Gaussian minimum shift keying (GMSK) modulation data segment and a linear frequency modulation (LFM) modulation data segment; respectively setting a GMSK modulation signal parameter and an LFM modulation signal parameter according to communication system demand information; performing pseudo-random hopping design on the pulse frequencies of the synchronization segment and the GMSK modulation data segment to obtain a pseudo-random frequency hopping pattern; and generating a GMSK modulation section waveform and an LFM modulation section waveform according to the GMSK modulation signal parameter and the LFM modulation signal parameter so as to form an integrated waveform. According to the embodiment of the invention, the integrated waveform can realize communication, detection and identification functions at the same time, the waveform resource utilization rate is high, and the anti-interference capability is relatively high.

The invention discloses an IC21 single-crystal high-temperature alloy diffusion welding method based on multi-field assistance and a high-entropy interlayer, and belongs to the technical field of welding. Nano high-entropy intermediate layer foil composed of 35% of Ni, 22% of Cr, 20% of Al, 7% of Re, 5% of Ta, 2% of Y, 7.5% of Si and 1.5% of B is adopted and placed between an upper layer IC21 single-crystal high-temperature alloy and a lower layer IC21 single-crystal high-temperature alloy, liquid-phase diffusion welding is conducted in a vacuum diffusion welding furnace by introducing the multi-field coupling effect of an ultrasonic vibration field, a pulsed magnetic field and an electric field, energy field superposition is achieved through multi-field coupling through space-time cooperation, and the high-temperature alloy is obtained. The pulse frequency of the ultrasonic vibration field is matched with the alternating frequency of the magnetic field; a diffusion channel is opened by an electric field, dendritic crystal regulation and defect repair are realized by mid-term superposition of an ultrasonic vibration field and a pulsed magnetic field, finally directional migration and dendritic crystal segregation suppression of a liquid film are realized, the technical bottleneck of high-integrity connection of an ultrathin-wall structure of a single-crystal turbine blade is broken through, and the extreme working condition service requirement of a sixth-generation engine is met.

Embodiments of the present disclosure generally relate to battery management systems, and more particularly relate to a battery regeneration system for optimizing de-sulfation of a lead- acid type storage battery and method thereof The battery regeneration system (100) includes sensors (102), a processor (108), and a memory unit (110). The sensors determine battery parameters during charging and discharging cycles. The processor analyzes the parameters to assess sulphation severity and conductive medium levels in lead-acid battery (104). Using AI- based techniques, processor selects very high-frequency cross-pulsing technique for de- sulfation. The system generates pulse sequence data with adjustable frequency and amplitude, transmitting it to control unit (114) for de-sulfation. Periodically, pulse frequency and amplitude are adjusted within predefined ranges. The control unit receives and applies modified data to lead-acid battery, charging battery to its original condition after de-sulfation. The system also communicates conductive medium level to Battery Monitoring System (BMS) (118).

The invention discloses a power supply modular design method and system, and relates to the technical field of computer-aided process design, and the method comprises the steps: receiving power supply design parameters, carrying out the feature coding through a three-layer neural network, generating an initial design vector, and constructing an SNN decision rule base according to the initial design vector; performing parameter evolution on the SNN decision rule base through a pulse frequency mapping function and a dynamic current adjustment function to generate a collaborative decision packet, and injecting a noise suppression factor into the collaborative decision packet to generate a noise immune decision packet; and constructing an electromagnetic field distribution model, inputting the noise immune decision packet into the electromagnetic field distribution model to calculate the electromagnetic coupling strength of the pulse signal, and comparing the electromagnetic coupling strength with a preset strength threshold to generate an electromagnetic isolation enhancement decision packet. According to the invention, through neural network feature coding and a full-closed-loop parameter transmission mechanism, lossless conversion and dynamic response from power supply design parameters to manufacturing instructions can be realized.

The invention provides an airborne high-precision imaging system and method for a single-photon unmanned aerial vehicle, and relates to the field of airborne imaging systems, and the system comprises a jitter collection unit for real-time attitude sensing, a signal collection and emission unit for high-speed transceiving control, a two-dimensional scanning unit for spatial scanning, and a motion compensation unit for real-time data processing. And the main control unit is used for overall planning of global time sequence control. The signal acquisition unit adopts a transmitting-receiving integrated coaxial optical structure, and a dynamic light leakage suppression mechanism is introduced. The jitter acquisition unit is integrated with a high-frequency inertial measurement unit IMU, the sampling frequency of the jitter acquisition unit is higher than the laser pulse frequency through a compensation algorithm, and the three-axis attitude and deflection angle data of the airframe in a dynamic environment are acquired in real time with high time resolution. The motion compensation unit carries out the registration of an IMU coordinate system, a laser radar coordinate system and an earth fixed coordinate system, solves the instantaneous attitude of each laser pulse receiving and transmitting moment, carries out the calibration of the position information of a photon event, and solves the point cloud motion distortion.

The invention discloses a laser cleaning method and system for residual sand of a sand casting mold, and the method comprises the steps: S1, obtaining point cloud data of the surface of the mold through a three-dimensional scanner, reconstructing a triangular mesh model M (V, E, F) of the surface of the mold, V being a vertex set, E being an edge set, and F being a surface set; s2, based on the triangular mesh model, a laser cleaning path is planned; S3, a laser head is controlled to move along the path, and laser is emitted to remove residual sand; according to the method, the residence time calculation model is introduced, the laser residence time is dynamically set by combining the region area, the material removal difficulty coefficient and the characteristic parameters, the adhesion strength signal of the surface of the mold under the laser action is detected in real time through the acoustic emission sensor, error feedback is formed, the laser power, the pulse frequency and the residence time are dynamically adjusted, and the mold surface quality is improved. And the self-adaptive response to the thickness and the adhesion strength of the residual sand in different areas is realized.

The invention relates to the technical field of immersed liquid cooling, and particularly provides a single-phase immersed liquid cooling heat dissipation device, a control method and a control system.The method comprises the steps that a heating area of a chip is divided, and a heat source area and a non-heat source area are obtained; different arrangement strategies are adopted for the heat source area and the non-heat source area, and jet devices are arranged; a plurality of temperature sensors are arranged on the surface of the chip, the cold fluid inlet and the hot fluid outlet; receiving temperature data sent by the temperature sensor, filtering the temperature data, and eliminating instantaneous interference signals; meanwhile, calculating a temperature standard deviation reflecting temperature difference uniformity on the surface of the chip and judging whether the temperature exceeds a highest temperature value of a threshold value or not; when the highest temperature value does not exceed the threshold value, heat dissipation of the cold fluid is executed according to a first heat dissipation strategy; and when the highest temperature value exceeds the threshold value, heat dissipation of the cold fluid is executed according to a second heat dissipation strategy, and meanwhile the pulse frequency of the jet device variable frequency pump is adjusted according to the temperature difference standard deviation. According to the invention, Pareto optimization of heat dissipation efficiency and energy consumption is achieved.