21results about How to "Offset interference" patented technology

The invention relates to the technical field of semiconductor test equipment, in particular to a full-automatic high-precision probe station, which utilizes multi-physics field coupling sensing and compensation to remarkably improve the positioning precision: by comprehensively collecting multi-physics field data such as a temperature field and a stress field and combining a coupling algorithm to optimize a compensation strategy, multi-factor interference is effectively counteracted, and the accuracy of the probe station is improved. The positioning repetition precision can reach + / -0.05 [mu] m, and the test requirement of the advanced semiconductor technology is met; a dynamic three-dimensional modeling technology and dynamic adaptability enhancement are achieved, a dynamic three-dimensional modeling system with the size affected by multi-physical field data can update the form of a test target in real time, test deviation caused by target deviation or surface fluctuation is avoided, and the adaptability of equipment to a complex test scene is improved. The automation degree is high, the testing efficiency is improved, the whole process of data acquisition, modeling, compensation and testing can be completed without manual intervention, the calibration process is simplified, the testing period is shortened, and the method is suitable for batch detection scenes.

The invention relates to the technical field of optical fiber sensing, in particular to a high-sensitivity space inclination measurement fiber grating sensor and a monitoring method, and the sensor comprises two orthogonally and vertically arranged sensitization type equal-strength beams, the surface of each sensitization type equal-strength beam is provided with a boss and groove combined structure, the center line of each boss is pasted with a fiber grating, and the free end is connected with a mass block. The strain transmission efficiency is improved through cooperative sensitization of the boss and the groove, temperature self-compensation is achieved through the wavelength drift distance difference value of the symmetric fiber bragg grating, and the inclination angles of the yoz plane and the xoz plane can be accurately measured at the same time. The sensor is provided with a waterproof corrosion-resistant protective shell, is high in environmental adaptability, and is suitable for high-precision space inclination monitoring of projects such as bridges and side slopes.

The application discloses a kind of chlorophyll relative content prediction method and system based on multispectral image, the method includes: obtaining multi-source data;According to environmental data, determine phenological period category and environmental stress category, and determine comprehensive scene mode accordingly;Environment data and multispectral image are extracted, and vegetation index feature, texture feature and environmental feature are obtained;According to comprehensive scene mode, scene self-adapting interpolation is carried out;According to environmental feature, vegetation index feature correction parameter is generated, and vegetation index feature is dynamically corrected;The corrected feature is constructed as multi-source time series feature sequence, multi-source time series feature sequence is weighted and fused, and input prediction model, and the chlorophyll relative content prediction value is obtained.The system includes data acquisition module, scene mode determination module, feature extraction module, feature processing module and prediction module.The application can be widely applied in the field of agricultural information technology.

The invention provides a europium-doped carbon quantum dot fluorescent probe, a preparation method thereof, a tetracycline detection method and a cell imaging method, and belongs to the technical field of fluorescent probes. According to the preparation method, pineapple peel is taken as a carbon source, atomic-scale uniform doping of Eu < 3 + > is realized through a one-step hydrothermal method, ion leakage caused by physical adsorption is avoided, the stability of the probe is improved, and tedious synthesis steps are avoided. The europium-doped carbon quantum dot fluorescent probe has the advantages of high stability, high sensitivity and strong anti-interference performance, and can synchronously realize environmental water sample and cell imaging. The europium-doped carbon quantum dot fluorescent probe shows bimodal fluorescence at 440 nm and 618 nm, the tetracycline detection method is based on a self-calibration mechanism of F618 / F440 ratio signals of the europium-doped carbon quantum dot fluorescent probe, environmental interference is eliminated, and the detection sensitivity is improved. The problems that an existing tetracycline detection material is poor in stability, low in sensitivity and difficult to be compatible with living body imaging are solved.

The application discloses a detection system and method with an anti-vibration and sensitivity-enhanced gas photoacoustic in-situ detection mechanism, which comprises an excitation light source and a collimating assembly, a photoacoustic cell and a signal processing unit. The laser emitted by the excitation light source and the collimating assembly is arranged along the central axis of the photoacoustic cell. A plurality of groups of microphones are arranged on the central section of the photoacoustic cell. Each group of microphones comprises two microphones symmetrically arranged on the left and right sides or the upper and lower sides of the central section of the photoacoustic cell. The signal processing unit receives the signals of each microphone, processes the signals, and the central section of the photoacoustic cell is a section perpendicular to the axial direction of the photoacoustic cell and located in the middle of the photoacoustic cell. The excitation light source and the collimating assembly emit laser, the signal processing unit collects and processes the signals of the plurality of groups of microphones, and the concentration of the dissolved gas in the oil circuit is obtained according to the corresponding matching relationship between the signal processing result of the signal processing unit and the gas concentration.

The invention provides a braking particulate matter emission testing system. The braking particulate matter emission testing system is characterized in that an upper computer sends a target braking torque and a target rotating speed to a real-time controller; the real-time controller determines a target braking position according to the target braking torque and a torque closed-loop control algorithm, and determines a target loading torque according to a target rotating speed and a rotating speed closed-loop control algorithm; the torquemeter is used for collecting actual braking torque and feeding back the actual braking torque to the real-time controller; the real-time controller is further used for conducting feedforward compensation on the rotating speed according to the actual braking torque. Thus, the rotating speed and the torque are independently adjusted in a closed-loop mode through a double-closed-loop control strategy of a rotating speed closed-loop control algorithm and a torque closed-loop control algorithm, when the braking torque is adjusted, feedforward compensation is conducted on the rotating speed according to the actual braking torque, and equivalently, the rotating speed and the torque are decoupled; the feed-forward compensation can synchronously offset the interference to the rotating speed when the torque changes, and the simulation precision of the dynamic braking working condition is improved.

The invention relates to the technical field of sorting machine control, in particular to a high-speed sorting system based on operation state perception, which comprises a load density quantification module, an operation level regulation and control module, a theoretical time sequence resolving module, a response lag compensation module and a closed loop execution feedback module. According to the invention, the real-time operation density is quantified by collecting the shielding pulse at the inlet of the sorting machine, and the operation speed gear of the box-type conveying sorting machine is dynamically matched according to the real-time operation density, so that the self-adaptive balance of energy consumption and productivity in the manufacturing process management is realized; a global coordinate system is utilized to map the real-time position of goods, a filtering algorithm is combined to predict and compensate mechanical response lag, time sequence drift caused by aging and abrasion of equipment is effectively eliminated, and operation state perception is formed based on deep mining of data such as a pulse sequence and execution feedback so as to construct a closed-loop updating mechanism. Control parameters can be corrected in real time to offset environmental interference, it is ensured that the sorting executing mechanism can be accurately triggered in different operation states, and the problem of synchronous errors caused by mechanical characteristic changes is solved.

This invention discloses an individual identification and intent perception system based on multi-frequency bioimpedance spectrum. The system applies a broadband sweep signal to the human body through an excitation signal generation module, collects response signals via a core sensing module, and obtains complex impedance data through a signal processing module. The computational processing module uses a multi-frequency differential algorithm to extract unique physical fingerprint features characterizing the individual's deep tissue structure from the impedance spectrum, and introduces a psychological state perception algorithm based on a dynamic conductivity model. Through AI fusion decision-making, it simultaneously achieves high-precision identity authentication and real-time discrimination of abnormal physiological states, involuntary states such as sleep. Finally, the execution output module performs operations such as unlocking and silent alarm. This invention solves the shortcomings of traditional biometric technologies, such as ease of forgery and inability to perceive user intent, while possessing higher-level anti-counterfeiting capabilities, proactive security defense, and privacy protection.

The invention relates to the technical field of communication anti-interference, and discloses a transformer substation visible light communication anti-electromagnetic interference modulation method and system, and the method comprises the steps: receiving an original data message from visible light communication in a transformer substation, and carrying out the error verification coding, and obtaining a baseband data stream; reconstructing the initial frequency domain symbol block based on the electromagnetic interference spectrum characteristics to obtain an anti-interference modulation signal; performing time-frequency two-dimensional pilot frequency embedding on the anti-interference modulation signal based on a multipath reflection path characteristic of a space structure in the transformer substation to obtain a pilot frequency auxiliary signal; mapping the pilot frequency auxiliary signal to a light emitting diode driving circuit to obtain a visible light signal; performing linear conversion on the photon flow density change of the visible light signal to obtain a receiving electric signal; performing joint channel purification on the received electric signal according to the pilot pattern of the received electric signal to obtain a restored data message; the visible light communication anti-interference transmission efficiency can be improved.

The invention discloses a flaw detection machine lifting control method and system, and the method comprises the steps: outputting a motor drive signal according to a calculation result, driving a drive motor to operate, and adjusting the speed of the drive motors at two sides, thereby achieving the purpose of synchronous lifting of the motors at two sides. The flaw detection machine stably moves in the lifting process; besides, according to acquired triaxial angular velocity and acceleration data of the gyroscope and environment temperature data, an X-axis attitude deviation angle, a Y-axis attitude deviation angle and a Z-axis attitude deviation angle are calculated, and the rotating speeds of the two motors can be judged and monitored in real time and dynamically adjusted, so that external interference such as wind power and load change is actively counteracted; the attitude inclination angle of the flaw detection machine is stabilized within the range of less than 3 degrees in the lifting process, and stable lifting with the height of less than or equal to 50 m and the speed of more than or equal to 8 m / min can be realized.

This invention discloses an antibacterial smart sofa fabric with integrated temperature sensing and its control method, belonging to the field of temperature measurement technology. The invention includes the following: an antibacterial fabric base layer loaded with antibacterial particles, forming a double-layer structure and bonded together; a temperature sensing integrated module with a temperature sensor integrated between the fabric base layers; an intelligent control module with a microcontroller as its core, receiving data and outputting control commands; a power supply module including a battery and a wireless charging coil, featuring protection functions and low battery warnings; a human-machine interaction module with a display screen and physical buttons displaying core information; a data storage module using a storage chip to store relevant operational data; and an antibacterial enhancement and control module including atomization and airflow circulation units, automatically activating when antibacterial activity is insufficient. This invention provides stable and long-lasting antibacterial performance, maintaining a long-term antibacterial effect through a dynamic enhancement mechanism. Distributed sensing and environmental compensation design improve measurement reliability, and multimodal interaction is convenient, adapting to different usage scenarios.

The present application belongs to the technical field of screen printing quality control, and specifically relates to a screen printing defect detection system based on deep learning, which comprises: multi-spectral image acquisition, multi-band imaging and mechanical linkage control logic configuration, and multi-type printing product image synchronous acquisition according to a preset viewing angle; a cloud-edge collaborative module, which comprises: an edge computing unit deploying a lightweight model to realize single-frame image inference delay and meet the high-speed real-time detection requirements of a production line; a cloud platform end constructing a defect sample intelligent management system, integrating a federal learning mechanism to realize privacy-protected sharing and model joint training of multi-production-line defect data; and real-time signal linkage with a screen printing device, an automatic sorting device and an MES system, so that when serious defects are detected, the printing device is automatically triggered to stop and give a warning, the sorting device is synchronously controlled to sort defective products to a specified area, and quality data in the MES system is updated in real time.

This invention discloses a hydrocyclone pressure adaptive control method based on a soft-sensor model of slurry flow rate and concentration, comprising the following steps: A. Establishing the soft-sensor model and constructing a training dataset: A pressure transmitter, frequency converter, and current sensor are installed on the outlet pipe of the hydrocyclone feed pump; a current sensor is installed on the motor of the feed pump; and a pressure transmitter is installed on the hydrocyclone feed pipeline. Historical datasets are synchronously collected and correlated within an initial period, and manual timed sampling is also performed. This invention achieves indirect and accurate measurement of key parameters: It creatively utilizes the operating data (speed, current, pressure, liquid level) of existing equipment such as pumps and pipelines, and constructs a high-precision soft-sensor model of flow rate and concentration through advanced machine learning algorithms. This model estimates the slurry flow rate and concentration, which are difficult to measure online using traditional instruments, in real time with low cost and high reliability, breaking through the information bottleneck of hydrocyclone optimization control.

This invention discloses an intelligent multimodal fusion water treatment closed-loop control system and method, belonging to the technical field of water treatment control systems. The control system includes a chemical working platform, a dual-core intelligent control module, a multimodal data acquisition module, and a cloud server. Through multimodal data fusion, intelligent prediction algorithms, a dual-core architecture, and cloud-based LLM diagnostics, this invention achieves automated, high-precision control and intelligent decision-making in the water treatment titration process, reducing reagent consumption and improving the safety and operational efficiency of water treatment reactions.

This invention discloses a dynamic time-window differential message queue monitoring system with adaptive resource scheduling, comprising: an adaptive resource scheduling module that links with an active acquisition triggering module to dynamically adjust the acquisition strategy based on the access event stream; a dynamic time-window differential calculation module that combines the adjusted window parameters fed back by the jitter compensation parameter correction module to accurately calculate the message processing rate; a metadata multi-dimensional association module that constructs a multi-dimensional association model to complete the aggregation operation of three types of core entities; and a real-time data output module that outputs the monitoring results. The modules are closely integrated, using dynamic parameter adjustments to offset the impact of acquisition jitter, and utilizing multi-dimensional association to achieve fine-grained data statistics. This adapts to the dynamic changes in high-concurrency and multi-tenant scenarios of distributed systems, solving the problems of poor adaptability of traditional static parameters and single association dimensions, thus improving the accuracy and reliability of message queue monitoring.

This application provides a method for predicting the conversion rate and self-correcting parameters of polymerization reactions in a coaxial dual-stirred reactor, relating to the fields of intelligent manufacturing and chemical process control. The method includes: synchronously acquiring real-time torque and current components of the inner and outer shaft drive motors of the reactor, real-time speed of the stirrer, and real-time material temperature; preprocessing the acquired signals; performing a cross-product operation on the preprocessed current and speed, obtaining a dimensionless characteristic ratio after geometric normalization, and collecting its average value during the induction period as a benchmark value; calculating the cumulative deviation of the dimensionless characteristic ratio relative to the benchmark value, taking the moment when the inner shaft current first shows a sustained upward trend as the starting point of the reaction timing; calculating the diffusion limitation coefficient based on the cumulative deviation and the diffusion sensitivity coefficient, wherein the diffusion sensitivity coefficient is adaptively calibrated by the average cumulative deviation within the initial linear interval and the target initial diffusion limitation coefficient; calculating the predicted conversion rate of the polymerization reaction based on the real-time temperature and the diffusion limitation coefficient; and controlling the termination time of the polymerization reaction according to the predicted conversion rate. This invention utilizes existing motor signals from the reactor to achieve online prediction of the polymerization reaction conversion rate, offering advantages such as strong anti-interference capability and adaptability to batch differences.

This invention discloses a multi-frequency sound wave sleep aid and mood guidance device, belonging to the field of sleep aid equipment technology. It includes an eye mask mechanism, with a strap mechanism fixedly connected to one side of the eye mask mechanism. Two sleep aid guidance mechanisms are disposed on the strap mechanism, each including a sliding sleeve with a side mount fixedly installed on one side. This invention features a multi-frequency sound wave sleep aid guide with a microphone on its outer side and a speaker on its inner side near the ear. This allows for easy access to preset modes within the multi-frequency sound wave sleep aid guide. A multi-scene mode storage module is designed, pre-setting modes for bedroom sleep, office naps, and travel portability, each with corresponding exclusive sound wave parameters and anti-interference settings. An environmental noise adaptation unit is included, with a built-in microphone collecting ambient noise and automatically adjusting the sound wave loudness and frequency gain to cancel noise interference and ensure effective mood guidance.

The invention discloses a generator stator grounding fault active arc extinction result identification and error repair method based on phase leakage current variation, which belongs to the technical field of large generator safety protection, and comprises the following steps: monitoring the state of a generator in real time, and starting active arc extinction after a fault occurs. By recording the phase neutral point current and the machine end current of the fault phase before and after the fault and before and after arc extinction, the phase leakage current variable quantity before and after the fault and the phase leakage current variable quantity before and after arc extinction are calculated respectively. An identification criterion is constructed based on the variable quantities, and whether arc extinction succeeds or not is judged in real time. If so, executing a subsequent process; and if the arc extinction fails, the arc extinction error amount is calculated through an error repair algorithm, the arc extinction injection amount is corrected according to the arc extinction error amount, arc extinction and identification are carried out again, and closed-loop iteration is formed until arc extinction succeeds. According to the invention, on-line identification and closed-loop correction of the arc extinguishing effect are realized, and the reliability, the accuracy and the self-adaptability of the arc extinguishing system are remarkably improved.

An audio system dynamically optimizes playback based on a user position. A sensor circuit dynamically senses a target space to generate a soundfield environment information. A first speaker and a second speaker play audio. A host device identifies a user from the soundfield environment information and determines a user position of the user in the target space, and dynamically assigns the user position as a target listening point. The sensor circuit includes a camera that captures a soundfield environment image of the target space. An identification circuit analyzes the soundfield environment image to obtain spatial configuration information and acoustic property information of an environmental object in the target space, and a control circuit generates a first channel audio and a second channel audio that are optimized for the target listening point using channel-based compensation.

The application discloses a kind of underwater glider path control methods and equipment for complex ocean flow field, the strategy is established based on Markov decision process autonomous control decision framework, utilize depth reinforcement learning model real-time joint decision including target regulation oil volume, target pitch angle and target heading angle in multi-dimensional action vector;By constructing the explicit coordinate transformation operator considering the interference of sea current, the displacement evolution of glider in a single sawtooth profile cycle is accurately calculated, and a nonlinear penalty reward function based on path offset distance is introduced to guide the intelligent agent to dynamically compensate the flow field interference.The application effectively solves the problems of the existing technology, such as the disconnection between planning and control architecture, weak adaptability of single-dimensional parameter adjustment, and limitation of motion performance caused by ignoring the difference in deep layer flow velocity, and realizes high-precision path keeping and adaptive cooperative control of underwater glider navigation trajectory in complex dynamic ocean environment.

This application relates to a beveling method, apparatus, processing equipment, and readable storage medium. The method includes: a follow-up control mechanism moves a processing head along a processing trajectory at a desired processing position on a thick plate; collecting surface position data of the thick plate; and determining relative position change data based on the surface position data. The follow-up control adjusts the positions of the processing head in the X and Y directions to maintain target distances in the X and Y directions between the processing head and the processing surface of the thick plate. Based on the relative position change data, interpolation follow-up control adjusts the position of the processing head in the Z direction to ensure that the processing head processes the thick plate along the processing trajectory. This method, based on the follow-up control of the processing head's X and Y direction positions and its initial Z direction position, uses interpolation follow-up control to ensure that the control trend of the processing head in the Z direction is consistent with the surface undulation trend of the thick plate, ensuring that the processing trajectory accurately matches the preset processing requirements.