388 results about "Analytical control" patented technology

The invention provides a metro driver abnormal behavior recognition method based on multi-modal data fusion. The method comprises the steps that metro driver abnormal behaviors are recognized based on multi-modal data fusion, track positioning and platform screen door sensor data are fused to detect the position of a train, and a station entering confirmation instruction is generated; according to the data of the seat pressure distribution sensor, driver off-seat inspection is judged; generating an outbound completion event in combination with a track circuit signal, an ATO instruction and the like; analyzing console touch pressure, voice instructions, hand actions and the like to verify operation compliance, and triggering an alarm when the operation is abnormal; aggregating results at edge computing nodes, encrypting and transmitting the aggregated results to a central scheduling system, dynamically mapping driver behaviors in a digital twin cockpit, and automatically triggering hierarchical alarms and associating data snapshots when the driver behaviors are abnormal; according to the invention, accurate recognition and real-time early warning of subway driver behaviors can be realized by means of multi-modal data fusion and intelligent analysis, and the subway operation safety and the emergency response efficiency are greatly improved.

The invention discloses an intelligent log retrieval and analysis system based on a model context protocol MCP, and relates to the technical field of log analysis. The system comprises an MCP log semantic conversion and retrieval engine, a log format irrelevant feature extraction and indexer, a dynamic log format recognition and context enhancement system, a real-time retrieval analysis and aggregation controller and a multi-level semantic retrieval and visualization engine. According to the context enhancement system, unknown formats can be identified, semantic tags can be complemented, and semantic consistency and behavior tracking capability can be improved. The retrieval analysis controller supports semantic expression analysis, strategy generation and feedback closed loop, and strategy scheduling and multi-dimensional aggregation analysis are achieved. And finally, outputting a structured semantic result by the system, and visually displaying the structured semantic result through components such as a semantic composition device and a context expander. All the modules are managed in a unified mode through a capability registration mechanism, dynamic arrangement and upstream and downstream closed-loop linkage are supported, and a log intelligent analysis framework with high semantic driving and a clear structure is formed.

The invention relates to the technical field of carbon emission, in particular to a full-life-cycle carbon footprint tracking management platform for power equipment. The platform collects carbon emission parameters in the whole process from raw material input to scrap recovery in real time through a monitoring equipment network and a sensor array to generate an original monitoring data stream; performing multi-source fusion and deviation correction on the data stream to generate a standardized carbon footprint sequence; a carbon emission trend model is constructed based on sequence extraction correlation features, and a dynamic adjustment strategy is generated when an integration fracture risk or emission abnormity is detected; transmitting an abnormal signal through a mobile terminal interface, receiving an adjustment instruction, and generating a closed-loop control signal; storing the extended carbon footprint data to construct a full life cycle file; estimating emission fluctuation to generate a stability strengthening strategy; and a monitoring-analysis-control-prediction four-order optimization link is formed. According to the invention, accurate tracking and dynamic optimization of carbon emission are realized, data integrity and management timeliness are improved, and technical support is provided for green manufacturing of power equipment.

The invention provides an unmanned aerial vehicle consistency control method based on a Stackelberg-Nash game, and relates to the technical field of multi-agent consistency and game optimization control. The method comprises the following steps: establishing a motion attitude nonlinear dynamic model of each unmanned aerial vehicle in a multi-unmanned aerial vehicle system, and defining a communication network topological relation; constructing a consistency error and a performance index function; the method comprises the following steps: establishing a layered Stackelberg-Nash game mechanism with a plurality of participants; utilizing a Bellman optimality principle to construct a coupling HJB equation to solve an optimization control strategy of the leader and the follower; and constructing a single evaluation network to estimate the optimization control strategy of the leader and the follower in each execution so as to realize an optimization control target. A favorable tool is provided for analyzing a series of control problems of master-slave consistency of multiple unmanned aerial vehicles in the control field, and the reliability of a control system can be enhanced to a certain extent.

The invention relates to the technical field of high-pressure hydrogenation reactor control, and discloses a multi-stage pressure optimization control method and system for a high-pressure hydrogenation reactor, and the method comprises the steps: obtaining temperature, pressure and flow monitoring data, generating original parameter data, and deploying a distributed control network; collecting and analyzing multi-stage pressure sensor data, and generating a pressure change influence factor; sensing a valve state, and generating a valve change influence factor; collecting data of a flow sensor, and dividing a control area after calibration; and calculating a pressure optimization index based on the control area data, integrating multiple factors to generate comprehensive control data, and further generating a pressure control signal and outputting an instruction. The system comprises a control network deployment module, a pressure analysis module, a valve analysis module, a control area analysis module and a pressure control signal generation module. Through multi-dimensional data fusion, a distributed control network and dynamic optimization calculation, the accuracy and stability of pressure control of the high-pressure hydrogenation reactor are improved, and the method is suitable for efficient and safe production in the field of petrochemical engineering.

The invention relates to the technical field of scientific research instrument management, in particular to an intelligent supervision method and system for a scientific research instrument, and the method comprises the following steps: extracting instrument reservation task information and constructing a timetable, collecting and analyzing control instruction abnormal behaviors to generate risk information, collecting power trend data to recognize an operation state, and carrying out management. And collecting an identity instruction and power information to construct a use record, and analyzing power fluctuation and load degree to generate a maintenance cycle evaluation value. According to the method, dynamic sorting and conflict screening of the reservation requests are realized by combining the task dependency relationship and the priority information, the risk level is evaluated by using the user instruction behavior characteristics, the real-time identification of the operation risk is realized, the accuracy of the operation state identification is enhanced by using the power fluctuation trend analysis, and the user experience is improved. A structured binding relationship of use data is established in combination with the identity and the device number, the information tracing integrity and the data tracing efficiency are improved, and the prejudgment capability of the maintenance period is optimized by using the combined evaluation of the operation load and the power trend.

The invention discloses a pig farm environment control method and system, and mainly relates to the technical field of environment control. Comprising the steps that fans are arranged in a target pig farm in advance, and a fan set and an effective coverage area set are determined; traversing the effective coverage area set to arrange gas sensors, and extracting monitoring data of the arranged gas sensor set according to a preset monitoring frequency after the feeding nodes to obtain a harmful gas concentration monitoring sequence set; performing time sequence trend analysis on the harmful gas concentration monitoring sequence set to obtain a first control influence factor set; determining a second control influence factor set; determining a risk area set; and acquiring a ventilation circulation path of the target pig farm, and regulating and controlling the fan set in combination with the risk area set and the area concentration prediction result set. The pig farm environment control method has the beneficial effects that the technical problems of lack of dynamic analysis and low control reliability of pig farm environment control in the prior art are solved, and the technical effect of improving the control reliability is achieved.

The invention discloses a dynamic coupling modeling method and system for an electric power information physical system, and belongs to the technical field of electric power dispatching automation, and the method comprises the steps: analyzing an AGC control process business data flow, and constructing a workflow engine; performing node classification, generating an information node model and an information branch model of the information system, and constructing a rule engine; constructing an information system network matrix model based on the rule engine, and establishing a preset service strategy based on the information system network matrix model; constructing an information physical coupling model of the AGC control process; and according to the AGC actual service, loading a preset service strategy established by the information system network matrix model based on the synergistic effect of the workflow engine and the rule engine, and updating the information physical coupling model. According to the method, a basic model is provided for cross-level closed-loop simulation verification in the AGC process, the problems of unclear information physical dynamic coupling mechanism, insufficient service logic adaptive mapping and model iteration self-updating are solved, and a guarantee is provided for safe and stable operation of a large power grid.

The invention provides a multimedia file synthesis method and device, electronic equipment and a storage medium, and the method comprises the steps: decoding a first multimedia file to obtain video and audio frame data, constructing audio waveform data, and analyzing statistical parameters and a specific time interval average value of the audio waveform data; determining a control parameter to regulate and control the special effect output of the video frame, synthesizing target video data, combining the target frame and the audio frame to generate a second multimedia file, and dynamically displaying the special effect based on the audio content when the file is played; the video special effect can be controlled through audio data analysis, and the function of dynamically displaying rich visual effects according to the audio content when the multimedia file is played is achieved.

The invention discloses an intelligent control management method and device for an energy storage system, and particularly relates to the field of energy, and the method comprises the steps: S1, collection region determination, S2, real-time data collection, S3, data preprocessing and transmission, S4, data analysis, S5, control strategy making, and S6, control instruction execution. Multiple indexes are comprehensively calculated through the data analysis module, the wind-solar power generation characteristics and relations are comprehensively considered, the energy storage system can accurately match the wind-solar power generation state, meanwhile, the evaluation decision-making unit is combined with historical data and real-time weather to predict the sum of wind-solar power generation power, dynamically evaluate the energy storage bearing capacity and plan a charging and discharging strategy in advance, and the energy storage efficiency is improved. Energy waste is avoided, the energy utilization efficiency is improved, finally, the energy storage charging and discharging power is rapidly adjusted through a strategy generation unit, the strategy is monitored and optimized in real time, the stability and reliability of the system are enhanced, and the impact on a power grid is reduced.

The invention discloses an automobile armrest dynamic damping adjustment system and method based on multi-sensor fusion, particularly relates to the technical field of automobile armrest adjustment, and is used for solving the problem of poor armrest damping self-adaptive adjustment precision. Multi-source data such as vehicle postures, power behaviors, contact behaviors and hand torque are collected, resampling, denoising and phase compensation are carried out, a fusion state vector is constructed, the future state of the vehicle is predicted based on a short-time historical state sequence, state increment is extracted, and a dynamic risk index is formed; a current state and a risk trend are combined to construct an optimization model integrating supporting, smoothing and restraining, controller parameters are dynamically adjusted through a fuzzy reasoning mechanism, self-adaptive adjustment of armrest damping is achieved, and in the damping execution process, cooperative features and dynamic correction strategies of a control instruction and feedback output are analyzed, so that the damping performance is improved. Therefore, the response precision and stability of the dynamic damping of the automobile armrest under the complex working condition are improved.

The invention relates to the technical field of data mining, in particular to a multi-dimensional data mining and analysis system based on flight simulation, which comprises a flight path characteristic analysis module, an action characteristic correlation analysis module, a key action offset prediction module and a training task distribution module. According to the method, the accuracy of track offset dynamic evaluation is improved by decomposing flight track change parameters and extracting track offset characteristic distribution, the capture capability of track change rules is remarkably enhanced, the correlation degree of control torque change and control surface offset is analyzed, and the key correlation between actions and tracks is quantified; the method lays a foundation for prediction of a high-frequency offset action distribution range, combines action characteristic parameter trend analysis, clears an offset direction and amplitude difference, optimizes control surface adjustment and control moment distribution, enables training distribution to meet requirements, realizes comprehensive coverage of flight data from law discovery to task optimization, improves decision precision and training efficiency, and improves the prediction efficiency. And meanwhile, the flight safety is enhanced.

The invention discloses a demand management control method and system based on real-time rolling prediction and decision analysis, and relates to the field of energy scheduling, comprising load prediction of a demand gateway line and power demand trend analysis of a controlled object. Determining a power demand control strategy by using a load prediction result and a power demand trend analysis result and through gate demand periodical rolling prediction and optimization calculation; constructing a sensitivity matrix between the power variation between the demand gateway and the load line and the power variation of the load line; using the sensitivity matrix to provide a demand out-of-limit value of a demand gateway line and support construction of a demand out-of-limit analysis control strategy; and performing power calculation by combining an equipment energy efficiency model and line load characteristics, and dynamically adjusting an energy distribution strategy of each piece of equipment. According to the invention, accurate prediction and dynamic adjustment of energy demands can be realized, energy distribution can be optimized, and operation cost can be reduced.

The invention relates to the technical field of marketing data analysis, and discloses a marketing analysis control method and system. The method comprises the steps of collecting multi-dimensional interaction data of a target user group; performing time sequence alignment processing on the multi-dimensional interaction data, eliminating asynchronous interference caused by acquisition time offset, and generating a synchronization behavior matrix; potential mode mining is carried out based on the synchronization behavior matrix, behavior clusters with relevance are recognized, and each behavior cluster corresponds to one user decision mode; constructing a dynamic weight model according to the user decision-making mode, calculating the contribution degree weight of the data of each dimension in the current marketing scene, and updating the model by adopting an incremental learning mechanism in combination with real-time feedback data; establishing a marketing strategy mapping table, and selecting an adaptive strategy group according to a current optimal weight combination output by the model; when the strategy is executed, a responsivity index is monitored synchronously, if the responsivity index is lower than a dynamic threshold value, re-matching is triggered, incremental data is fed back to a potential mode mining link, and a closed-loop optimization mechanism is formed.

The invention relates to the technical field of environment monitoring and automatic control, and specifically provides a dust monitoring analysis control system based on a port bulk cargo storage yard electronic greenhouse. The system comprises an environment multi-dimensional sensing module, a dust field dynamic reconstruction module, a dust suppression demand prediction module and a precise execution control module, and through multi-dimensional data acquisition, dynamic three-dimensional dust field modeling, future dust suppression demand prediction and space and time sequence optimization regulation and control of spraying resources, the dust suppression demand prediction and the precise execution control module are optimized. Accurate monitoring and prediction of dust concentration and on-demand throwing of dust suppression resources are achieved, and control timeliness, foresight and operation energy efficiency are effectively improved.

The invention relates to the technical field of intelligent agricultural intelligent irrigation control, and discloses an intelligent irrigation analysis control system based on a crop growth period. The system comprises a crop image sequence, soil humidity profile data and a regional meteorological sequence. And the data analysis module is used for performing multi-stage growth state interpretation on the image sequence, generating a crop structure state profile in each growth period, performing vertical moisture exchange identification on the soil humidity data, and generating a root zone moisture dynamic map. And the habitat mapping and stress evaluation module synchronously executes habitat adaptability mapping and moisture stress risk mapping. And the irrigation decision module corrects the habitat mapping result according to the stress evaluation result and generates an irrigation decision profile. And the control instruction generation module generates a partition valve control instruction in combination with the decision profile and the alternate irrigation rule. According to the invention, deep fusion analysis of the crop growth state, the root zone moisture and the meteorological environment is realized, and the irrigation decision accuracy and the water resource utilization efficiency are improved.

The invention relates to the technical field of wind power monitoring, and discloses a construction engineering tower crane wind power monitoring control method, which comprises the following steps: collecting wind power environment data around a tower crane structure through a multi-source sensor network, including wind speed, wind direction, wind pressure and tower crane boom vibration parameters, and generating a tower crane wind power original data set; performing wind load fusion evaluation processing based on the tower crane wind power original data set, calculating actual wind load distribution of each part of the tower crane by combining a tower crane structure model and a computational fluid dynamics principle, and generating tower crane wind load evaluation data; when wind power monitoring and controlling of the tower crane in constructional engineering are carried out, wind power environment data and structure response data around a tower crane structure are collected through a multi-source sensor network, a tower crane wind power original data set is generated, wind load fusion evaluation processing is carried out, and the wind load actually borne by the tower crane can be reflected; and meanwhile, the calculated tower crane wind load evaluation data and the tower crane safety threshold are compared and analyzed in real time, and a reliable basis is provided for control decision.

The invention discloses a multi-modal interaction system based on cross-modal data fusion and alignment processing, relates to the technical field of multi-modal interaction, and solves the technical problem of low efficiency of cross-modal data fusion and alignment processing in an education scene in the prior art. According to the method, specifically, multi-modal data is provided for a data interaction platform for hardware cooperative operation in a hardware architecture; the data interaction platform generates a cross-modal data fusion signal and sends the cross-modal data fusion signal to the cross-modal data fusion unit, and the cross-modal data fusion unit performs data fusion after receiving the cross-modal data fusion signal; after the cross-modal data fusion module performs data fusion alignment processing, an interaction analysis control signal is generated and sent to the interaction analysis control unit; and after the interaction analysis control unit receives the data, interaction analysis control is performed.

The invention discloses an analysis control method and system for a hydraulic anchor rod drill carriage for a coal mine, and relates to the technical field of mining mechanical equipment, and the method comprises the steps: constructing a sequential temperature sequence, calculating an actual temperature stability characteristic value, and evaluating the stability of the current temperature fluctuation of the drill carriage; constructing a differential pressure sequence, calculating an actual pressure change rate characteristic value, and identifying whether potential abnormality exists in the hydraulic pressure of the drill carriage; the actual temperature stability characteristic value and the actual pressure change rate characteristic value are constructed into an actual drill carriage state characteristic vector, the actual drill carriage state characteristic vector is input into an operation recognition function, a drill carriage operation normal score is obtained, and drill carriage operation evaluation is carried out; and operation parameters of the drill carriage are dynamically regulated. Parameters of a hydraulic system of the drill carriage are regulated by calculating an actual temperature stability characteristic value, calculating an actual pressure change rate characteristic value, constructing an operation recognition function and dynamically regulating and controlling operation parameters of the drill carriage, and therefore it is guaranteed that the operation parameters of the drill carriage can be matched with the hardness of materials at the operation position.

Koopman operator theory is a widely used method to analyze, control, and predict the behavior of the states of a non-linear dynamical system using measurement functions in Hilbert space. Real time approximation of the Koopman operator is crucial in order to adapt and understand behavior of underlying non-linear dynamical system. Traditional approaches leverage matrix-based methods or artificial neural networks to approximate Koopman operator. However, such methods necessitate significant power and computational resources, therefore may not be suitable for applications that require real-time on-board processing. The problems of the conventional approaches are resolved based on a recent development of brain inspired spiking neural networks and neuromorphic computing platforms, as these offer extremely low-energy computation and real-time responses. Embodiments of the present disclosure provide implementation of a Spiking Neural Network (SNN) based architecture that efficiently approximate Koopman operator with minimal length of data and demonstrates significant computational savings.

The invention discloses a color-coated sheet coating film thickness laser detection system and method based on image recognition, and relates to the technical field of metering equipment. Comprising an optical data acquisition module, a film thickness change feature extraction module, a double-channel parallel resolving module, a double-channel arbitration module, a single-point quality judgment module, a trend analysis control module and a film thickness distribution visualization module. The optical data acquisition module acquires laser speckle images and spectral response data, the film thickness change feature extraction module acquires film thickness change features, the double-channel parallel resolving module outputs image and spectral channel film thickness values, the double-channel arbitration module outputs film thickness predicted values, and the single-point quality judgment module performs quality qualification judgment. And the trend analysis control module generates a process parameter adjustment instruction, and the film thickness distribution visualization module carries out visual presentation of film thickness distribution. By collecting optical data, the detection precision and the anti-interference capability are improved, comprehensive evaluation of film thickness distribution is realized, and the product quality and the process stability are effectively guaranteed.

The invention discloses an intelligent lamplight curtain based on environment perception and a linkage control system thereof, and relates to the technical field of intelligent control, the intelligent lamplight curtain comprises a data acquisition module, a data processing module, a linkage management module and an analysis control module, and the linkage management module comprises an environment sub-module, a personalized demand sub-module and a multi-target collaboration sub-module. Compared with the prior art, the method has the advantages that the environment photon module is different from the single dependence on physical illumination intensity, multi-dimensional parameters are fused, physical environment light data are converted into subjectively perceived effective environment light, the problem that environment perception and subjective experience are disjointed is solved, user historical behaviors and real-time scene data are quantized based on the individual demand sub-module, and the user experience is improved. The multi-target collaborative system is established through the multi-target collaborative sub-module and the association of the corrected effective illuminance of the ambient light and the personalized illumination demand illuminance, the dynamic balance of the environment, habits and atmosphere is realized, and the system has an excellent intelligent effect.

The invention discloses an electrical integrated control system of a thermal power plant, and belongs to the technical field of electrical control of the thermal power plant. A data processing module; a control decision module; an execution module; a man-machine interaction module; according to the invention, the data acquisition module acquires the multi-dimensional operation data of each device in the thermal power plant electrical system in real time, the data processing module processes and analyzes the data, the control decision module combines an advanced control algorithm and a fault diagnosis technology to generate a control instruction, and the execution module accurately controls the devices. The man-machine interaction module realizes man-machine interaction, and the energy management module performs optimization management on energy consumption. The electric system of the whole thermal power plant realizes integrated control, the cooperative work capability and the control efficiency of the system are improved, equipment faults can be timely and accurately diagnosed and processed, the reliability and the stability of the system are improved, and meanwhile, efficient utilization and saving of energy are realized.

The invention discloses a temperature and pressure control method and system of a reaction kettle, and relates to the technical field of chemical equipment automatic control, the temperature and pressure control method comprises the steps of data acquisition, processing, coupling analysis, control decision and adjustment execution, and a temperature compensation value and a pressure compensation value are generated through dynamic compensation. Based on a coupling coefficient switching adjustment strategy, precise adjustment is realized by combining prediction optimization and segmented control; the temperature and pressure control system comprises a sensing module, a control module, an execution module and a safety interlocking unit. Distributed data acquisition, multi-module cooperative work, environment monitoring unit auxiliary compensation and safety interlocking unit guarantee protection are realized. According to the temperature and pressure control method and system of the reaction kettle, the problems of low control precision and weak interference resistance in the prior art are solved, the temperature control precision is + / -0.5 DEG C, the pressure is + / -2kPa, the response speed is high, the method and system are suitable for high-requirement reaction processes in the fields of chemical engineering, medicine and the like, and the method and system have the advantages of high precision, fast response and high safety.

The invention discloses a robot grabbing self-adaptive method and system based on deep learning, and relates to the technical field of robot grabbing, and the method comprises the steps: constructing a digital twin model of an object grabbed by a robot; the master control system carries out data processing and analysis on the digital three-dimensional model; the control module receives an instruction of the master control system, an emergency grabbing option is started, and the robot is controlled to conduct self-adaptive grabbing on an object in an abnormal area; according to the robot, the digital three-dimensional model is established, the digital three-dimensional model is recognized and analyzed through the master control system, the result is transmitted to the control module, the robot can conduct self-adaptive grabbing on at least two stacked objects through the control module, meanwhile, data analysis at the robot end is achieved, edge calculation is conducted, and therefore the robot can grab more than two stacked objects in a self-adaptive mode. According to the method, the robot can realize self-adaptive grabbing in a more complex grabbing environment, so that the time delay of back-and-forth transmission of data is reduced, and the object grabbing accuracy of the robot is ensured.

The invention discloses an ocular surface illumination treatment device and method, and belongs to the technical field of ophthalmology medical equipment and treatment. The device comprises an infrared camera module, a computer terminal analysis control module, an optical power detection module, a mechanical adjustment module, a safety switch module and an illumination module. Wherein the infrared camera module comprises an infrared CCD (Charge Coupled Device) camera and a near-infrared light source which are arranged at a preset included angle and can collect eye images and transmit the eye images to the computer terminal, and the highest recording speed of the infrared camera module is not lower than 200 frames per second; and the computer terminal analyzes the image to obtain pupil positions, diameters and distances, and adjusts relative positions of a shielding device and a lens group in the light path of the illumination module, the axis of the light path and the distance between left and right lens cones, so that the central dark area of the annular light spot is matched and overlapped with the pupil. Eye images are collected and processed firstly, then light spots and the lens cone are adjusted, finally phototherapy and real-time monitoring are carried out, light can be prevented from entering the fundus, the treatment safety is improved, and the device is suitable for ocular surface diseases such as xerophthalmia.

The invention provides a multifunctional channel detection system based on a Zynq chip. The multifunctional channel detection system is characterized in that a system main control module is deployed at an ARM processor end of the Zynq chip; the protocol analysis control module, the fault-tolerant detection excitation module and the bottom hardware adaptation module are deployed at the FPGA programmable logic end of the Zynq chip; the system main control module communicates with each module of the FPGA programmable logic end through an AXI bus; the underlying hardware adaptation module receives the configuration from the system main control module and completes electrical adaptation and dynamic switching of various bus interfaces; the protocol analysis control module receives an instruction from the system main control module, and performs protocol analysis and feature verification on at least one of an SPI bus, an IIC bus and a 1553B bus; the fault-tolerant detection excitation module receives the trigger from the system main control module and injects a controllable fault into the tested bus interface; and the system master control module integrates the verification result and the injection feedback to complete the performance and reliability evaluation of the bus channel.

The invention relates to the technical field of medical instruments, and discloses a peripheral circulation function evaluation device, which comprises a control system and a finger fixing seat, and is characterized in that the control system is used for carrying out driving control on a pressure generator and analyzing a shooting result of a camera; the control system can accurately set and evaluate the required pressing pressure value and pressing time, and analyzes the color change of the nail bed before pressing, during pressing and after pressing. The electromagnetic pressure is accurately regulated and controlled, torsion deformation of the spring is restrained by combining a limiting structure, linear pressure output in the vertical direction is achieved, the pressure value is determined according to the quantitative relation between the electromagnet distance and the current, and errors are reduced; a dynamic buffer mechanism forms a progressive loading curve when pressure is applied, so that the instantaneous impact pressure is prevented from exceeding a tolerance threshold value of an assessed person; optical synchronous acquisition is realized, and interference of skin color on blood oxygen saturation calculation is eliminated in a dual-wavelength narrow-band filtering mode.

The application relates to an active profile display device and method of a marine observation buoy, which is composed of an embedded microprocessor, an LED driving module, an illumination sensor, an LED lamp strip, a 485 bus protocol module, an AIS receiving module and a positioning module, wherein the embedded microprocessor is connected with the LED driving module, the illumination sensor, the 485 bus protocol module, the AIS receiving module and the positioning module respectively, and the LED driving module is connected with the LED lamp strip. The embedded microprocessor performs data compliance discrimination inspection every second, and performs active profile display analysis control module in a timing mode. According to the weighted calculation of the distance normalization result of the ship and the buoy, the LED driving power, the light duration and the extinguishing duration are adjusted. The beneficial effect of the application is that the LED lamp strip power and the light and extinguishing duration are dynamically adjusted according to the distance of the surrounding ships, so that better marker profile display effect is realized with less energy consumption.

Systems and methods for calibrating radio frequency (RF) generators are described. One of the methods includes receiving a plurality of analog measurement signals from a plurality of RF sensors to output a plurality of digital signals. The plurality of analog signals are received by an analytical controller. The method further includes calibrating, in a simultaneous manner, the RF generators based on the plurality of digital signals. The RF generators are calibrated by a process controller.