21results about How to "Filter out noise" patented technology

The invention discloses a silicon carbide intelligent power module with voltage and current dual-detection over-current protection, and relates to the technical field of semiconductors. In order to solve the problem that when an existing silicon-based intelligent power module (IPM) is matched with a silicon carbide metal-oxide-semiconductor field effect transistor, due to the fact that the over-current protection response speed is low, interference and false triggering are likely to happen, a dual over-current protection mechanism combining desaturation voltage detection and sub-current detection is adopted. And by mixing and integrating the silicon substrate and the silicon carbide power device, the performance requirements of different application scenes are considered. Three driving control chips, six IGBT chips, six fast recovery diode chips, one SiC MOSFET chip, two silicon carbide Schottky barrier diode chips and one patch sampling resistor are integrated in the module, and all the elements are packaged in the same insulation heat dissipation substrate and lead frame combined structure, so that high integration level, high reliability and fast overcurrent protection are realized; the method can be widely applied to the fields of household appliances, industrial control, new energy and the like.

The application provides a multi-objective dynamic optimization method and system for a solar seawater desalination process, belonging to the technical field of solar seawater desalination control. Firstly, the application collects solution conductivity data at the inlet and outlet positions and irradiance trend data above the photovoltaic array. Then, the conductivity difference is calculated to generate gradient data to map the desalination demand vector, and the cloud motion vector is extracted from the irradiance data using the optical flow method to construct the energy supply potential vector. Subsequently, the two are aligned and convolved to generate a state space matrix, which is input into the constructed Kalman filter to predict the target voltage reference trajectory. Finally, the trajectory is substituted into the multi-objective constraint function to calculate the target duty cycle command, and the DC converter switching state is adjusted to change the operating voltage of the desalination device. The application can achieve real-time multi-objective dynamic optimization of the water production efficiency and equipment safety of the solar seawater desalination system under the dual fluctuations of light and salinity.

The application discloses a kind of game-based motivation-based adolescent psychological intervention digital systems, comprising: data acquisition module, obtain continuous audio stream data;Voice pre-processing module, continuous audio stream data is pre-processed, acoustic feature is extracted and generates emotional label, and continuous audio stream data is converted into text sequence data;Semantic analysis module is used for the semantic analysis of text sequence data, and logical syntax entity in text sequence data is extracted in conjunction with emotional label, and generates cognitive feature vector;Cognitive identification module, cognitive feature vector is input into model and is calculated, and the output cognitive distortion type and severity level;Intervention decision module is used for according to cognitive distortion type and severity level, and after the current execution node of game plot, insert hidden branch task;Dialogue generation module is used for driving virtual accompanying NPC to execute hidden branch task, and generates guiding speech, and dialogue generation module outputs guiding speech to user.

The invention discloses an intelligent adjusting device and method for an apron board of a conveyor, the device comprises a mounting bracket, a guide chute, an apron board assembly and a driving assembly, a plurality of flexible connecting pieces are additionally arranged, the flexible connecting pieces are connected between the driving assembly and the apron board assembly, and pressure sensors are packaged in the flexible connecting pieces. The elastic body of the flexible connecting piece is used for transmitting the adjusting driving force output by the driving assembly and can deform based on the counter-acting force of the belt, so that the apron board assembly can carry out passive self-adaptive following on the dynamic deformation of the belt, and meanwhile, a high-fidelity pressure signal for filtering vibration interference is provided for the sensor. Through the unique flexible sensing and force transmission integrated design, the problems that in the prior art, a sensor signal is prone to being interfered, the service life is short, and the apron board cannot be dynamically self-adapted are solved, and stable, accurate and self-adaptive adjustment of the sealing pressing force of the apron board is achieved.

The present application relates to the technical field of medical film, and particularly relates to a medical film quality detection system based on multi-parameter fusion, which comprises an acquisition module, a discrete determination module, an identification module, a risk determination module, an adjustment module and an early warning module. The present application takes a dynamic discrete coefficient as a trigger condition, analyzes the contribution of each process parameter to the current thickness fluctuation to identify the primary root cause, forms a quantitative process risk index by comprehensively considering the out-of-control degree of the root cause parameter and the thickness deviation, and according to the process risk index, an adjustment instruction with clear direction and strength suggestion can be sent, and the adjustment efficiency is evaluated after adjustment, early warning is given when the control loop fails or the problem escalates, and the problems of lagging quality defect discovery and blind and lagging process adjustment caused by the failure to quickly and accurately locate the process abnormal root cause in the complex multi-process coupling production process are effectively solved.

The utility model discloses to solve the problem that the low frequency current transformer circuit in the prior art can complete the collection and conversion of current signal, however, restricted by the low frequency current transformer leakage magnetic effect, its measurement result often exists deviation, is difficult to satisfy the high standard requirement of precision control and data acquisition, provide a kind of low frequency current transformer circuit and electric energy meter based on integrated circuit hardware module control.The circuit includes current transformer CT, and the primary side winding of current transformer CT is connected with external measured circuit;Transimpedance amplifier, and the secondary side winding of current transformer CT is connected with transimpedance amplifier;Among them, the current size that current transformer CT collects is directly proportional to voltage size;Analog-digital converter, and analog-digital converter is connected with transimpedance amplifier;Analog-digital converter converts the analog quantity of voltage value into digital quantity;Integrated circuit hardware module, and integrated circuit hardware module is connected with analog-digital converter;Integrated circuit hardware module exports the final current value of high precision.

The application discloses an AMT economic coasting control method and system, and relates to the technical field of vehicle transmission control, which comprises the following steps: obtaining vehicle operating state parameters to determine coasting entry conditions, and outputting an economic coasting condition satisfaction symbol when all the conditions are satisfied; obtaining the operating state of a mechanical automatic transmission, determining whether the state maintenance calibration condition is satisfied, and executing delay control, and activating the economic coasting state when the target delay time is reached; executing the neutral coasting process according to the operating state of the transmission, completing the decoupling of the transmission system, and entering the economic coasting; monitoring the exit trigger condition in the coasting period, and canceling the state when the condition is satisfied, calculating the target combination gear position, and restoring the on-gear operating state. The application prevents high-frequency switching of the system through multi-dimensional determination and delay mechanism, applies time alignment and speed regulation to reduce mechanical resistance during decoupling, and calculates the combination gear position based on the reference vehicle speed and synchronizes the speed during exit, so that the longitudinal impact of the vehicle during the recombination of the clutch is reduced.

The invention belongs to the technical field of tea leaf picking, and discloses an automatic tea leaf picking device which comprises a rack, a walking mechanism, a recognition mechanism, a picking mechanism, a collecting mechanism and a control mechanism. The picking mechanism comprises a mounting base, an adjusting block, an adjusting assembly, a guide driving assembly, an annular knife belt and picking teeth, an upper sliding groove and a lower sliding groove are formed in the adjusting block, the annular knife belt penetrates through the upper sliding groove, the guide driving assembly and the lower sliding groove, and the guide driving assembly on the other side forms a closed ring; the picking teeth on the annular cutter belts in the upper sliding groove and the lower sliding groove move reversely to form shearing cooperation to shear the fresh tea leaves; the collecting mechanism is used for collecting the cut fresh tea leaves; the control mechanism is used for controlling all the mechanisms to work. The annular cutter belt is adjusted through the adjusting assembly and the guide driving assembly to adapt to the shape of the tea canopy surface, so that the picking teeth can be precisely attached to the tea canopy surface, and the tea leaf picking quality is improved.

This invention discloses a power equipment inspection method based on deep learning dual-light feature fusion, comprising: simultaneously acquiring visible light images and infrared thermal imaging images of the power equipment using a binocular acquisition module mounted on an inspection robot; extracting significant straight line features from the two images using a gradient-based edge detection operator, and solving the homography matrix using line segment descriptors and geometric constraints to achieve online spatiotemporal registration without a calibration board; constructing a deep learning-based dual-stream feature extraction network to map the registered infrared image as a spatial attention mask, and performing weighted fusion of the visible light feature map using Hadamard product; finally, outputting equipment category, location, and temperature information based on the fused feature map, and determining faults using a dual threshold of confidence and temperature. This invention effectively solves the problems of texture loss in traditional infrared detection and the failure of visible light nighttime detection, achieving accurate location and diagnosis of power equipment faults.

This invention relates to the fields of geotechnical engineering and intelligent construction technology, specifically to a large-section trenchless tunnel settlement control and optimization system based on interlocking pipe curtain support. The system includes a central processing unit and connected modules for fluid characteristic sensing, transient impedance inversion, working condition judgment, and dual-mode adaptive control. The fluid sensing module periodically executes pulse excitation and collects fluid dynamic responses. The transient impedance inversion module calculates the equivalent sealing stiffness index characterizing the interlocking seal based on a leakage model. The working condition judgment module marks the grouting area as loose or dense by comparing it with a safety threshold. The dual-mode adaptive control module generates instructions accordingly, driving the grouting mechanism to perform pulsed intermittent or quasi-continuous stepped pressurization injection operations. This invention achieves effective control of surface settlement while ensuring that the underground concealed structure is not damaged.

This invention discloses a method and device for detecting material level in a closed silo, relating to the field of industrial automation detection and control technology. It employs a photosensitive level gauge to continuously acquire the original optical feedback signal of the solid material pile within the silo, receiving the light source sensor signal as the original optical feedback signal, forming signal frames in chronological order, with each frame corresponding to the light intensity value at a sampling time. Dynamic baseline tracking is performed on the acquired multiple signal frames, updating the baseline in real time using the weighted moving average of historical signal frames, and extracting the current optical signal trend component. The baseline update rate is automatically adjusted according to the degree of signal fluctuation. A multi-frame fluctuation suppression algorithm determines the deviation between the current signal frame and the baseline, dynamically filtering out instantaneous spikes caused by dust adhesion based on the statistical characteristics of the deviation. This invention significantly improves the detection accuracy, anti-interference capability, and operational reliability of automatic feeding systems for solid materials in kilns, and is suitable for industrial sites with high dust levels, variable light paths, and long operating cycles.

The invention relates to the technical field of tunnel detection, in particular to a tunnel lining disease sonar detection device carried by an underwater robot, which comprises a sonar detection system, a data processing and analyzing system and an underwater robot carrying and operating system. According to the invention, a tunnel does not need to be emptied, autonomous operation is realized through carrying the detection device by the underwater robot, high risks of manual detection and adverse effects on a tunnel structure are avoided, and the sonar detection system realizes all-directional coverage detection of a tunnel lining by virtue of a high-resolution probe and a three-dimensional scanning module; the self-adaptive signal adjusting module can dynamically adjust parameters according to the underwater environment and adapt to complex water quality and water flow conditions, the data processing system accurately recognizes cracks, spalling, void and other diseases through a deep learning algorithm and determines key information of the diseases, data are visually displayed and stored in real time, and the real-time performance of the system is improved. A stable carrying platform, intelligent navigation and a reliable energy communication system provide stable guarantee for detection.

The utility model discloses a pickup special for a seven-stringed plucked instrument, and belongs to the technical field of musical instruments. In order to realize interference-free sound amplification and avoid squeal, the sound pickup comprises a shell, a miniature capacitor pickup head is embedded in the shell, one side of the shell is provided with a through hole and a lead wire, the lead wire is used for penetrating through the miniature capacitor pickup head, and an end cover is arranged at the upper end of the shell and is used for completely sealing the shell. The inner wall of the housing 1 is provided with a conductive silver paint layer, and the conductive silver paint layer is connected with the ground wire end of the miniature capacitor pickup head 2 and is used for shielding electromagnetic interference.

The embodiment of the invention relates to the field of optical fiber sensing, and discloses an optical fiber oil leakage detection method and device, a medium and a product. The method comprises the following steps: arranging a sensing optical fiber along a to-be-measured oil pipe, transmitting an optical signal to the sensing optical fiber and receiving a reflected signal of the sensing optical fiber; monitoring the change of the reflected signal in real time, and processing the reflected signal through a multi-modal feature fusion extraction method; the multi-modal feature fusion extraction method comprises time-frequency domain feature extraction, spatial domain feature extraction and multi-source data feature fusion; the time-frequency domain feature extraction comprises extraction of spectrum features and impact features of oil film diffusion; spatial domain feature extraction comprises the steps of constructing a concentration gradient field of oil film diffusion, and extracting spatial distribution features by using a neural network; the multi-source data feature fusion comprises the steps of synchronously collecting multi-source sensing data, and constructing a feature cross matrix to extract dimension reduction features; therefore, interference of steady-state mechanical noise caused by on-site pump valve starting and stopping, vehicle passing and the like is effectively filtered out, and precise qualitative detection of extremely weak oil leakage events is achieved.

The application provides an overcurrent detection circuit and a clothes processing device, and belongs to the field of home appliance control. A sampling module is connected with an intelligent power module, collects three-phase current signals, and obtains bus detection signals. A signal processing module is connected with the sampling module, compares the bus detection signals with reference voltage signals, obtains a comparison result signal, converts the comparison result signal, and obtains an overcurrent detection signal. The signal processing module is connected with the intelligent power module, and sends the overcurrent detection signal to the intelligent power module. The overcurrent detection is indirectly realized through the circuit, the collected three-phase current signals and the overcurrent detection signal are fully signal-isolated, the isolation between different signal ports of the intelligent power module is realized, and the problem of low overcurrent detection accuracy of the traditional circuit is solved.

The application discloses a system integration real-time monitoring control system based on digital twinning, relates to the technical field of industrial internet, and comprises the following modules: a state sensing module, which is used for outputting a global real-time monitoring state set; a hard instruction generation module, which is used for generating a hard control instruction; a fatigue increment deduction module, which is used for constructing a time-varying loss matrix; a fatigue feature mapping module, which is used for performing topological level fatigue feature isolation on the time-varying loss matrix based on an improved MICN model to output a real-time fatigue degree score; an instruction softening deduction module, which is used for outputting an instruction softening parameter package; a flexible instruction reconstruction module, which is used for generating a final flexible control instruction; and a closed-loop control execution module, which is used for collecting end physical feedback data. The application overcomes the limitations of traditional methods, such as ignoring deep fatigue degradation, large instruction mutation impact and poor dynamic adaptability, and provides an efficient solution for complex system integration digital twinning control.

This invention relates to the field of bowel cleansing agent concentration detection technology, specifically to a system for detecting the residual concentration of oral bowel cleansing agents used in pre-endoscopic care. First, this invention acquires data representing both somatic tissue and intestinal contents through multi-frequency sampling, providing an accurate foundation for subsequent data analysis and feature extraction. Second, it extracts three-dimensional features of volatility, component properties, and filling rate, comprehensively characterizing the physical properties of the medium, eliminating single-dimensional errors, and fusing them to generate a medium barrier matrix, improving the accuracy of medium property identification. Then, it constructs a connected distribution matrix through virtual connectivity analysis, fundamentally filtering out invalid pneumoperitoneum interference. Finally, it analyzes the morphological deviation between the connected distribution and the ideal template, outputting the equivalent residual concentration of the bowel cleansing agent, quantifying the similarity between the abdominal cleansing state and the ideal filling, significantly improving the accuracy of bowel cleansing agent residual concentration detection.

The application relates to the technical field of cooling system control and discloses a liquid cooling system component loss detection method and system based on a liquid cooling distribution module, which comprises the following steps: acquiring a set flow, collecting water pump data on the side of the water pump, calculating a water pump difference value; calculating change data, converting the change data into first frequency domain data; after a use duration, calculating second frequency domain data; calculating a frequency domain difference value; if the frequency domain difference value is greater than a frequency domain set value, a water pump loss warning is given; collecting valve data on the side of the valve; calculating the absolute value of a flow difference value as a flow calculation value, calculating a leakage trend value, and if the leakage trend value is greater than a trend set value, a valve loss warning is given; a wind speed sensor on the side of the fan collects wind speed data, and a wind speed difference value is calculated; the absolute value of the average value of a plurality of wind speed difference values is calculated as a wind speed calculation value; if the wind speed calculation value is greater than a wind speed reference value, a fan loss warning is given, and the loss state of key components of the liquid cooling system can be detected and warned in real time.

This invention discloses an optical hydrophone structure based on Fresnel zone plate sensitization, belonging to the field of underwater acoustic signal detection technology. It includes a single-mode optical fiber, an elastic cylinder, a Fresnel zone plate, and a metal cavity. The single-mode optical fiber is uniformly and tightly wound around the elastic cylinder, which is located inside the metal cavity. One end of the metal cavity has an acoustic wave incident aperture. The Fresnel zone plate is fixed at the acoustic wave incident aperture of the metal cavity and has several concentric acoustic transmission rings and blocking rings. This invention employs the above-mentioned optical hydrophone structure based on Fresnel zone plate sensitization, which is simple in structure, has few components, and low cost. It possesses good water pressure resistance and electromagnetic interference resistance, making it suitable for complex underwater environments such as marine acoustic exploration and underwater weak target monitoring.

The utility model belongs to the technical field of port mechanical equipment, and particularly relates to an anti-collision system for a shore and field bridge cart, which comprises a multi-line laser radar group arranged at four door legs of a shore bridge or a field bridge and used for detecting a track and surrounding obstacles; the laser range finder is matched with the multi-line laser radar group and assists in detecting the obstacle distance; the calculation unit is used for receiving and processing detection data of the multi-line laser radar group and the laser range finder and generating an early warning signal; and the control system controls the cart to slow down or stop according to the early warning signal. According to the utility model, the multi-line laser radar detects obstacles 7 m ahead of time and triggers deceleration, and triggers stop 5 m ahead of time, so that the traditional'braking after collision 'mode is thoroughly changed, 'hard-to-hard' physical contact is eliminated, and the structural damage of the crane body, the buffer rod and the obstacles is avoided.

The utility model provides a military machine room network equipment AC power supply filter, which relates to the technical field of power adapters and comprises a filter circuit including a differential mode filter circuit, a first-stage common mode filter circuit and a second-stage common mode filter circuit. The input end of the filter circuit is set as a power supply input end, the power supply input end is respectively set as a zero line and a live line, and the differential mode filter circuit, the first-stage common mode filter circuit and the second-stage common mode filter circuit are sequentially connected to the power supply input end. Differential-mode interference and common-mode interference in a line are filtered through the differential-mode filter circuit, the first-stage common-mode filter circuit and the second-stage common-mode filter circuit, the switches and the filter circuits are installed in the independent cavities, and the cavities are independent from one another, so that mutual coupling interference can be effectively avoided; and the power supply input end adopts the triangular socket with the aluminum alloy shell, so that quick plugging and unplugging can be realized, and good filtering efficiency is achieved.