439 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 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 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 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 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 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.

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 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 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.

A method is provided for operating a wireless charger having a multi-switch inverter which supplies an output PWM signal to a resonant circuit in response to switching control signals, including a first set of continuous excitation phase switching control signals (which generate the output PWM signal to have alternating positive and negative pulses having a first pulse frequency) and a second set of free resonance signal sensing phase switching control signals (which enable the resonant tank circuit to generate a resonant decaying output voltage signal in the presence of a foreign object that is located near the wireless charger), where each continuous excitation phase switching control signal includes a plurality of positive or negative excitation pulses having the first pulse frequency, and where one or more quality factor parameters of the wireless charger are measured based on one or more electrical parameters of the resonant decaying output voltage signal.

The invention discloses an EVDWPT ground control box group power synchronization method based on optical fiber synchronous frequency modulation. The method comprises the steps that a vehicle-mounted end sends a square wave signal containing a power level to a power supply cabinet through a signal transmitter; the power supply cabinet analyzes the power level in the square wave signal, generates a cooperative control signal containing a synchronous pulse frequency fine tuning instruction and a phase shift angle adjusting instruction, obtains the current guide rail position of the vehicle emitting the square wave signal, and sends the cooperative control signal to the inverter box corresponding to the guide rail position; the inverter box adjusts the working frequency to the target frequency according to the synchronous pulse frequency fine tuning instruction, and adjusts the phase difference between the output voltage fundamental wave and the current according to the phase shift angle adjusting instruction; and the inverter box drives the corresponding transmitting coil according to the adjusted target frequency and the phase shift angle so as to output power matched with the power level to the vehicle-mounted end receiving coil, so that the vehicle power matching requirement is met. According to the invention, while compatible charging of the multi-power-level vehicle is realized, soft switching starting of the inverter can be ensured.

The invention relates to a multi-fault real-time early warning system for a power distribution cabinet, and relates to the technical field of power distribution cabinet detection. Partial discharge, mechanical vibration, insulation dielectric loss and environmental parameters are synchronously acquired through a distributed sensor array; performing electromagnetic interference filtering and wavelet noise reduction preprocessing on the original data, and extracting the characteristics of pulse frequency, vibration kurtosis, dielectric loss change rate and the like; a'rule base + random forest 'mixed model is adopted to identify fault types and confidence; fault positioning with the precision of + / -3cm is realized based on sensor delay inequality and a triangulation positioning algorithm, and fault components are determined in combination with a component topology mapping table; early warning levels are divided according to fault types, confidence coefficients and component importance, and customized reports are dynamically pushed; a standard signal is injected every 24 hours to generate a compensation coefficient, and the drift error of the sensor is corrected in real time.

Described are devices and methods for administering targeted ultrasound therapy. The device consists of a wearable housing designed to conform to a part of the user's body, with an array of ultrasound transducer units on the skin-facing side. These transducers can generate ultrasound therapy to a target therapy area of the user, with frequency, intensity, treatment area, and duration parameters optimized for a therapeutic application. Incorporated within the device is a communication system, an energy source, and a processor. The processor's role is to execute instructions, including assessing the user's health status based on received data, processing and analyzing ultrasound data to gauge transmission quality, determining if the current transmission quality is within thresholds, initiating ultrasound therapy when the conditions are right, and adjusting ultrasound therapy parameters real-time or near real-time if needed during treatment. The real-time or near real-time adjustment is made through various parameters like pulsing frequency, pulse train frequency, the number of treated spots, duration, and treatment zone area. This device provides a personalized, adaptive approach to ultrasound therapy, optimizing the treatment process for each individual user.

The embodiment of the invention discloses a photoelectric synapse device, the photoelectric synapse device has an optical synapse characteristic in a spectral response range of 520 nm to 2000 nm from visible light to infrared light, the photoelectric synapse device comprises a Van der Waals heterojunction formed by upper graphene / CrOCl / lower graphene, and the Van der Waals heterojunction is formed by the upper graphene / CrOCl / lower graphene. The CrOCl serves as a middle layer and is clamped between the upper-layer graphene and the lower-layer graphene, the number of the upper-layer graphene used for receiving light is 5-10, and the thickness of the CrOCl is set to enable the photoelectric synapse device to be capable of being tunneled when the photoelectric synapse device is irradiated by visible light or infrared light. The photoelectric synaptic device disclosed by the invention efficiently simulates optical synaptic behaviors in a wide spectral range of 520-2000 nm, and has adjustable pulse time sequence dependence plasticity, pulse number dependence plasticity, pulse frequency dependence plasticity and paired pulse promotion. The invention also discloses a preparation method and application of the photoelectric synaptic device.

The invention relates to the technical field of steel roller surface treatment, and discloses a surface treatment method of a conductive steel roller for copper foil, which comprises the following steps: S1, pretreating the surface of the conductive steel roller, including ultrasonic cleaning and absolute ethyl alcohol wiping; s2, setting laser average power, pulse frequency, pulse width, light spot diameter, axial feeding speed, radial feeding step pitch and scanning overlapping rate based on the preprocessed conductive steel roller according to initial roughness and target roughness of the conductive steel roller; and S3, based on the set online laser grinding, when the steel roller rotates, a laser machining head spirally scans the surface of the steel roller at the set feeding speed and step pitch in the axial direction and the radial direction, and surface convex peaks are removed through laser. By means of the laser grinding and real-time feedback control technology, accurate adjustment of the surface roughness and shape of the steel roller is achieved, the machining efficiency and the consistency of the surface quality are improved, and high precision and uniformity are ensured.

The invention provides a transformer anti-short circuit capability quantitative evaluation method and system based on multi-physics field simulation mapping, and belongs to the technical field of transformer anti-short circuit capability evaluation. Comprising the following steps: obtaining structure parameters of a to-be-tested type transformer, and constructing a multi-physics field coupling simulation model; running a preset defect working condition by using the multi-physics field coupling simulation model, and calibrating an anti-short-circuit capability limit value corresponding to the defect working condition according to the running data; applying a unit pulse voltage excitation signal, and obtaining a feature vector corresponding to the defect working condition based on the frequency domain response curve; analyzing the mapping relation by using a polynomial regression algorithm to obtain an anti-short-circuit capability quantitative evaluation function; and in a power failure off-line state of the transformer, injecting a unit pulse voltage excitation signal into the winding by using a pulse frequency response tester, calculating an anti-short-circuit capability limit value corresponding to an actually measured operating temperature value according to the anti-short-circuit capability quantitative evaluation function, and evaluating the anti-short-circuit capability of the transformer in combination with a rated thermally stable current.

The invention provides an unattended laser spherical surface internal engraving method and system combined with AI intelligence, and the method comprises the steps: S1, obtaining geometric data of a spherical surface material, generating a spherical surface curvature distribution model through a three-dimensional scanning technology, and obtaining curvature change data; s2, according to the curvature change data, the focusing deviation of the laser at different depths is calculated, and a focusing deviation distribution diagram is obtained; s5, adjusting the weight according to the parameters, optimizing the laser power and the pulse frequency, and obtaining self-adaptive parameter configuration; s6, dynamically adjusting the laser focusing depth and the spot size through adaptive parameter configuration to obtain an optimized focusing path; s7, according to the optimized focusing path, a laser is controlled to execute three-dimensional carving operation, and a preliminary carving pattern is generated; and S9, if the level precision does not meet the requirement, adjusting iteration parameters according to a detection result, and generating new adaptive parameter configuration. According to the method, the precision and adaptability of laser internal engraving of the complex curved surface are remarkably improved.

The invention provides a nutrition pump drop identification method, a nutrition pump and electronic equipment, and relates to the technical field of drop identification, and the nutrition pump drop identification method comprises the steps: obtaining liquid drop detection signals collected by multiple infrared receiving channels; performing signal conditioning processing on each path of liquid drop detection signal to obtain multiple paths of pulse signals; combining the multiple paths of pulse signals into a single-path effective pulse sequence by using redundancy decision logic; and calculating the real-time dripping speed according to the pulse frequency of the single-path effective pulse sequence. According to the scheme, the liquid drop detection signals of the multiple infrared receiving channels are collected in parallel, or operation merging is carried out on the multiple pulse signals through the redundancy judgment logic, effective recognition of liquid drop events can still be maintained when part of channel signals fail, and therefore the fault-tolerant capability and robustness of the detection process are improved.

The embodiment of the invention provides a near-infrared heart rate detection method and device based on background perception, relates to the technical field of physiological signal detection, and can effectively perceive background noise so as to reduce the influence of the background noise on heart rate detection precision. The method provided by the embodiment of the invention comprises the following steps: acquiring an image sequence by utilizing near-infrared imaging equipment, and extracting face key points; determining regions of interest, calculating an average value of pixel values in each region of interest, obtaining pulse signals, and calculating a signal-to-noise ratio of each pulse signal; extracting background regions, calculating an average value of pixel values in each background region, and obtaining a background noise signal; performing Fourier transform on the pulse signal to obtain a frequency power signal; performing Fourier transform on the background noise signal to obtain a spectrum power signal; pulse frequency power with background noise influence removed is obtained, and a heart rate predicted value is determined; and determining the weighted sum of the heart rate predicted values as a heart rate detection result.

The invention provides a geographic information surveying and mapping data processing method and system, and the method comprises the steps: obtaining terrain superpixels, carrying out the segmentation operation of the terrain superpixels, obtaining terrain superpixel blocks, carrying out the pulse frequency coding operation of the terrain superpixel blocks, obtaining a pulse frequency sequence, and carrying out the pulse delay coding operation of the terrain superpixel blocks. The method comprises the steps of obtaining a pulse frequency sequence, obtaining a pulse delay sequence, adjusting pulse density through terrain superpixels, obtaining pulse density, carrying out feature integration on the pulse frequency sequence, the pulse delay sequence and the pulse density, and obtaining a structured feature tensor. The method comprises the following steps: obtaining original point cloud data, carrying out position calibration on the original point cloud data through equipment movement track data, carrying out feature extraction on original point cloud according to a structured feature tensor, obtaining a terrain block map with a classification label, and improving the accuracy of geographic information surveying and mapping data while ensuring terrain continuity.

The invention discloses a video pulse wave extraction method and system based on automatic noise recognition. The method comprises the steps that a face area is divided into a plurality of sub-areas; calculating the signal-to-noise ratio of each sub-region in the pulse frequency band, and performing weighted fusion on the original pulse signals of each sub-region according to the signal-to-noise ratio; performing ensemble empirical mode decomposition on the fusion signal; according to the peak-to-peak interval variation coefficient, the amplitude stability index and the spectrum purity, determining a noise component dominated by the motion artifact; performing adaptive filtering processing on the fused signal by using an adaptive filter and taking a reference noise signal as input; carrying out distortion detection on the filtered fusion signal, and carrying out signal restoration processing on a detected distortion region to obtain an extracted pulse signal; in order to solve the problem that in the prior art, when video pulse signals are extracted, motion artifacts and physiological signal frequency spectrums are overlapped, and consequently signal separation of a traditional frequency domain filtering method fails, effective signal separation and accurate pulse signal extraction are achieved.

The invention provides a laser glass defect real-time detection method which comprises the following steps: collecting fluctuation data of ambient light intensity and vibration frequency, capturing initial image data of a laser glass crack area, positioning a crack intersection point, analyzing a gray value attenuation distribution mode of the crack intersection point, and obtaining a quantitative index of spectral interference; obtaining a shadow micro-tremor inhibition effect of branch textures, and quantitatively evaluating the residual covering degree of background light artifacts on a crack edge structure in combination with an optimized crack intersection gray level uniformity index; and executing the determined pulse frequency configuration scheme, obtaining a laser glass defect detection image sequence in real time, evaluating the improvement degree of the real-time detection image sequence relative to initial image data, quantifying the multi-dimensional imaging optimization effect of the mesh crack texture, and dynamically generating a light source parameter adjustment sequence.

The invention relates to the technical field of intelligent control, and discloses an intelligent control system and method for a crystal glass laser internal engraving machine. The method comprises the following steps: acquiring three-dimensional point cloud data of a crystal glass workpiece, extracting a material basic feature vector, and inputting the material basic feature vector into an axial self-crossover attention module for three-dimensional space feature association to obtain a three-dimensional space state map; fusing the acoustic emission signal, the light scattering signal and the temperature signal based on the three-dimensional space state map to perform to-be-excited state discrimination, and determining a to-be-excited area; and adjusting the laser power, the pulse frequency and the focusing depth according to the to-be-excited region to obtain a laser parameter combination, and performing position trajectory and control input optimization on the plurality of laser heads to generate an execution instruction of each laser head. The laser power, the pulse frequency and the focusing depth can be adaptively adjusted according to the recognition result of the to-be-excited area, and then the machining precision and stability of the crystal glass laser internal engraving machine are improved.

The invention discloses a galvanized steel pipe internal blowing process automatic control system and method, and belongs to the technical field of hot galvanizing process intelligent control. Steel pipe structure parameters are obtained and matched with a historical process model, and an initial temperature and pressure value is output; the temperature change rate delta T / delta t of the inner cavity of the steel pipe is collected, and a thermal state vector is established; calculating the current optimal internal blowing pressure P (t) and the pulse frequency f (t) by combining delta T / delta t with the initial parameters T0 and P0 through a fuzzy controller; a PWM driving signal is generated to control an electromagnetic valve and a fan to operate, so that the air blowing rhythm is regulated and controlled; by collecting a pressure falling curve after blowing each time, the falling rate dP / dt is calculated, and the desorption efficiency of the zinc liquid is evaluated; when the deviation exceeds a threshold value, the fuzzy rule base is automatically corrected, and self-learning and optimization of control parameters are achieved; the method improves the internal blowing precision and consistency, is high in adaptability, and can be widely applied to the field of intelligent manufacturing of hot-dip galvanized steel pipes.

The invention relates to the technical field of analysis instrument ionization sources, in particular to a VUV lamp ionization source device with efficient heat dissipation capacity. The device comprises a VUV lamp, a heat dissipation unit, a VUV lamp driving electrode, a driving circuit and an ion guide focusing unit. The heat dissipation unit carries out cooperative heat dissipation on the VUV lamp and the pulse transformer through a fan, and the problems of signal attenuation and device aging caused by temperature rise are solved. The driving electrode adopts a pairwise pairing structure of upper and lower and left and right electrode pairs to form an inclined electric field to prevent ions from bombarding the lamp wall and the light window; the drive circuit is a half-bridge or full-bridge topology, can adjust the pulse frequency and the power supply voltage, and achieves the switching between a high-voltage low-frequency mode and a low-voltage high-frequency mode. The ion guide focusing unit efficiently leads out and separates ions through cooperation of a conical focusing electric field and a conductive film forward electric field. Through four-dimensional innovation of heat dissipation, electrodes, driving and transmission, the stability, the service life and the detection sensitivity of the device are improved, and the device is suitable for analytical instruments such as ion mobility spectrometry and mass spectrometry.