153 results about "Adaptive switching" patented technology

This invention discloses a method and device for processing dew point meter measurement data, relating to the fields of industrial automation measurement and control and fault diagnosis technology. It constructs a dynamically sensing window with variable shape to preprocess time-series data from the dew point meter, calculates fault probability entropy in real time, detects instantaneous anomalies, and combines a fault-window shape mapping library to determine the window shape and adaptively switch it to obtain anomaly identification results. A corresponding algorithm is selected from a correction strategy library to correct the anomaly. This invention constructs a dynamically sensing window with variable shape, driven by real-time calculated fault probability entropy, enabling adaptive switching between panoramic, sniper, and multi-focus shapes. Utilizing a built-in fault-window shape mapping library, it associates anomaly symptoms with fault physical mechanisms, separates multiple concurrent faults, infers root causes, and avoids decision space explosion. Based on the diagnostic results, it calls targeted algorithms from the correction strategy library to correct anomalies, forming an intelligent closed loop of identification-diagnosis-correction.

The application relates to a power interconnector operation mode adaptive switching hybrid control method and device, computer equipment and a storage medium. The method comprises the following steps: determining a first three-phase modulation wave of a first power grid and a second three-phase modulation wave of a second power grid according to a first power grid phase angle, a first active current given value and a first reactive current given value of the first power grid in a first current operation mode, and a second power grid phase angle, a second active current given value and a second reactive current given value of the second power grid in a second current operation mode; in the case that a characteristic difference value between a first modulation wave characteristic value of the first three-phase modulation wave and a second modulation wave characteristic value of the second three-phase modulation wave is greater than a preset characteristic difference value, performing corresponding state control processing on a first converter and a second converter according to the first three-phase modulation wave and the second three-phase modulation wave respectively. By adopting the method, the control accuracy of the power interconnector can be improved.

The application discloses a high-frequency resonant current characteristic measurement method and relates to the technical field of high-frequency electric characteristic measurement, and comprises the following steps: detecting a transient trigger signal and pausing power driving to create a measurement interval; in the measurement interval, passively collecting a natural ringing signal of a load, determining a current measurement paradigm in a passive ringing analysis paradigm and an active probe measurement paradigm based on the amplitude characteristics of the signal; and performing corresponding measurement actions according to the current measurement paradigm. The application realizes adaptive switching of the measurement paradigm by introducing a window environment diagnosis step before measurement, and solves the technical contradiction that the active probe is easily polluted by ringing and the passive measurement is easily invalid due to signal depletion.

This invention relates to a multi-mode intelligent switching method for human-machine collaborative outbound calling scenarios, belonging to the field of artificial intelligence technology. The method includes: acquiring voice semantic information during the outbound calling interaction process, determining the human-machine interaction adaptability, maintaining an intelligent outbound calling mode and triggering a switching command for a manual outbound calling mode; classifying outbound calling tasks by scenario tags, matching corresponding interaction processing strategies, dynamically monitoring interaction fluency and problem complexity, adjusting human-machine processing weights, and switching outbound calling modes; acquiring historical interaction data and real-time interaction information, establishing a human-machine collaborative switching judgment model, generating human-machine mode judgment results, and autonomously switching between intelligent and manual outbound calling modes; dividing outbound calling interaction stages, setting switching conditions, verifying the interaction response effect in real time, and switching outbound calling modes based on the verification results. This invention can achieve stable, intelligent, and adaptive switching of outbound calling modes, improving the efficiency and interaction effect of human-machine collaborative outbound calling.

The application relates to the technical field of underwater acoustic communication, and discloses a method and system for dynamically allocating resources of an underwater voice communication system. The method comprises the following steps: setting a multi-user priority strategy according to a formation modular grouping; adopting a hybrid access mechanism of fusion of time division multiple access and carrier sense multiple access / collision avoidance, dividing communication channels into inter-group time slots and intra-group time slots, and competing for access to idle sub-carrier clusters in the time slots through a CSMA / CA mechanism; predicting a future state of an underwater acoustic channel; based on the predicted future state, adaptively switching a modulation and coding scheme according to a preset signal-to-noise ratio threshold; distributing sub-carrier bands to users with the largest channel gain based on a channel gain matrix; and combining the multi-user priority strategy, the hybrid access mechanism and the modulation and coding scheme to jointly optimize and distribute sub-carriers, bit loading and transmission power. Through dynamic resource allocation and adaptive transmission optimization, the application effectively improves the resource utilization rate and transmission quality of underwater voice communication.

The application provides a data collection method and a data collection device, the data collection device comprises a collector and an analyzer, the method comprises the following steps: the collector collects data of a target device; the analyzer analyzes the data received by the collector and adaptively switches a data transmission protocol between the collector and the target device according to an analysis result; in the embodiment of the application, the analyzer selects the data transmission protocol according to the device performance, the network condition and the data change frequency without relying on additional network detection or device monitoring tools, so that the data transmission protocol is selected flexibly, and the pressure on the network and the device is reduced when the network condition is poor or the device resource is limited.

This invention relates to oil and gas well surface testing video monitoring and edge intelligent transmission technology, and discloses a multimodal video intelligent transmission method driven by working condition semantic collaboration. This method spatiotemporally aligns video streams, working condition sensor data, and scene structure information; utilizes a working condition-video lead correlation model to generate risk levels and prediction lead times; drives adaptive switching between semantic messages, keyframes, and real-time video; and performs precoding enhancement, full network bandwidth scheduling, and original video backhaul retransmission before anomalies occur. A remote monitoring center uses digital twins for rendering and calibration. This method is suitable for oil and gas well surface testing sites with low bandwidth and weak networks.

The application belongs to the technical field of intelligent traffic and driving safety monitoring, and specifically discloses a driver fatigue detection method and system based on multi-modal data fusion. First, a heterogeneous fusion system of facial visual features, bracelet features and vehicle driving behavior features is constructed. Then, the extracted multi-modal features are subjected to individual standardization processing based on individual sober benchmarks. Next, three fatigue detection models are constructed, two of which receive bimodal input and one of which receives multi-modal input. Real-time multi-modal information is collected, and according to the failure or recovery state of the visual mode / bracelet mode, adaptive switching is performed between the three fatigue detection models, and finally the switched model is used for fatigue state detection. The application solves the problems of poor cross-driver generalization performance and insufficient detection robustness in complex environments from the root, and realizes accurate identification and monitoring of the fatigue state of the driver.

This invention discloses a dynamic intelligent scheduling method and system for ship segment transfer. The method involves grouping tasks and vehicles based on segment weight and vehicle tonnage; calculating vehicle preference for tasks and task preference for vehicles based on empty mileage, process number, and delivery time, achieving bidirectional dynamic matching; adaptively switching between production pull, low-energy consumption, and comprehensive scheduling modes based on yard occupancy; and dynamically adjusting weight parameters through deep learning and multi-objective optimization to form a closed-loop optimization cycle of "environmental change - parameter adjustment - scheduling - feedback." This invention achieves real-time scheduling in dynamic scenarios, improving efficiency by 42% compared to manual scheduling, reducing task delay rate to less than 2%, minimizing daily vehicle transport time variation to less than 0.5 hours, and significantly reducing empty mileage and energy consumption.

The application discloses a dual-mode adaptive transmission method for ARM and FPGA based on GPMC, and comprises the following steps: S1, system initialization; S2, data transmission preparation; S3, threshold calculation and mode selection; S4, data transmission; and S5, frequency feedback and closed-loop control. A dual-mode adaptive transmission system for ARM and FPGA based on GPMC comprises an ARM processor module, an FPGA module, a GPMC interface module and a driver program module. The ARM processor module is integrated with a dual-core Cortex-A53 architecture core, a 133MHz efficient GPMC controller, a uDMA controller and a PRUSS real-time unit, and is internally provided with a data volume intelligent identification unit, a threshold dynamic calculation unit, a mode selection unit and an instruction interaction unit. The FPGA module is integrated with a timing detection unit, a BRAM data storage unit, a double-counter unit and a frequency measurement unit. The application has the advantages of being capable of dynamically and adaptively switching transmission modes according to data volume, low cost, plug-and-play and strong ease of use through the cooperation of the above steps.

The present disclosure relates to a control method and device of a hydrogen dryer, the method comprising: obtaining current operation data of the hydrogen dryer; determining a target operation mode of the hydrogen dryer according to the current operation data, and controlling the hydrogen dryer to work based on the target operation mode. The method realizes adaptive switching and optimized operation among multiple modes by obtaining the operation data of the hydrogen dryer in real time and dynamically determining the target operation mode, effectively solves the problem that a single mode is difficult to balance reliability, economy and accuracy, and balances energy saving economy and the accuracy of humidity control while ensuring reliable and continuous operation of the drying function, thereby significantly improving the overall performance of the hydrogen drying system.

This invention discloses a cooling control method and device for a lithium battery energy storage system in a desert environment, relating to the field of new energy storage technology. The method includes: constructing a shallow desert heat exchange structure, optimizing the coolant pipeline layout, fixing the pipeline with bricks and supports, and installing rotatable claw-shaped metal fins driven by worm gears on the outside of the pipelines, combined with a light sensor to achieve adaptive switching of the day and night heat exchange mode; constructing a closed-loop cold plate dual-circulation liquid cooling system, dividing the cooling circuit into internal and external circulations for the energy storage tank, adapting to desert day and night conditions; using a host computer as the control core, controlling the switching of the diversion valve based on light sensing signals, and executing a graded temperature control strategy; establishing a multi-zone flow optimization algorithm, guided by minimizing the comprehensive temperature control target, weighted optimizing temperature control indicators, and iteratively calculating and allocating the optimal flow rate of the branches to achieve coordinated and efficient cooling of the system. This invention achieves energy-free cooling of the coolant, solving the problem of high energy consumption in desert energy storage cooling.

A communication method and apparatus, which are applied to the technical field of communications. The method comprises: upon entering a cell discontinuous reception / transmission on state, determining a state within the on state, wherein the on state comprises one or more of a first state and a second state, and a transmission configuration corresponding to the first state is different from that corresponding to the second state; and performing uplink communication transmission on the basis of the transmission configuration corresponding to the state. An adaptive transmission configuration switching mechanism is set, such that when in an on state, the adaptive mechanism is automatically activated, and a transmission configuration is automatically switched on the basis of the on state, and thus it is unnecessary to additionally deliver activation configuration signaling or switch activation signaling, etc., thereby better suiting requirements of periodic activation scenarios, and effectively coping with a data surge in the early stage of activation.

The present application relates to the field of instruments and process measurement technology, in particular to a multi-range pressure gauge adaptive switching system and method based on time sequence feature perception, the system comprising a data acquisition module that generates a smooth pressure time sequence signal in real time; a time sequence feature perception module that receives the smooth pressure time sequence signal and generates a pressure prediction trend signal for a future short time window based on pressure change trend characteristics; an adaptive decision module that compares the pressure prediction trend signal with a preset current range threshold range; a switching execution module that responds to a pre-switching trigger signal when a switching lock signal is in an unlocked state and outputs to a multi-range sensor group to complete switching of a working channel; and a data fusion module that performs weighted fusion processing on two output signals according to a switching process state signal provided by the switching execution module. The present application can solve the problem of switching lag in existing pressure measurement systems when facing pressure transient working conditions.

This invention discloses an adaptive switching method for rigid / non-rigid algorithms in solving system simulation models. During the system simulation model solving process, the rigidity of the ODE-IVP equations is monitored in real time, and an appropriate solution method is automatically selected based on the current rigidity value. To maximize solution efficiency, this invention does not calculate the rigidity of the current equation at every solution step. Instead, it dynamically "samples" the model according to a certain probability, ensuring that information on model rigidity changes is not lost while maintaining computational efficiency.

The present application relates to the technical field of unmanned aerial vehicle control, in particular to a kind of unmanned aerial vehicle precision landing method and system based on double camera adaptive switching, method includes: using main camera high-definition image to solve first pose, guide unmanned aerial vehicle to approach target;Real-time monitoring height and mark imaging ratio, judge whether to meet switching condition;When switching vice camera, inherit main camera last frame pose, combine inertial navigation data to carry out prediction fusion, ensure that control closed loop is continuous;Using wide-angle image of vice camera to solve second pose, fine-tune pose until meet ground contact condition.The present application solves the contradiction between long-distance recognition accuracy and near distance field of view limitation by double camera switching and multi-source data fusion, eliminates the pose step in the process of hardware switching, realizes the whole continuous, high-precision autonomous precision landing.

The application relates to the technical field of gas spectrum detection, and discloses a CO2 gas concentration dual-wavelength detection system and method based on TDLAS-WMS, which comprises a main control upper computer, a signal generation and modulation module, a dual-channel laser module, an optical path module, a gas absorption cell, a photoelectric detection module and a signal acquisition and lock-in amplification module. The method comprises the following steps: initializing and loading parameters; generating a driving signal of superimposed scanning and modulation to drive a laser; extracting a second harmonic signal after the laser passes through the gas to be detected; realizing high signal-to-noise ratio concentration signal acquisition, automatically judging whether the current waveband is saturated or under-response, switching to another waveband, and realizing self-adaptive dynamic detection. Through dual-wavelength cooperation and self-adaptive switching, the technical problems of narrow dynamic range, easy saturation at high concentration, insufficient sensitivity at low concentration, and large error of a single-wavelength TDLAS system are solved, and wide-range, high-precision and continuous self-adaptive detection from low concentration to high concentration are realized.

The present application relates to the field of robot technology, especially a wheel-foot composite flat warehouse monitoring system and control method for unstructured granular medium, including adaptive four-wheel-foot composite mobile chassis, dual-mode operation module carrying flat warehouse mechanical arm and deep probe, multi-source perception hub and controller, the core lies in that through the multi-mode adaptive switching of wheel-foot composite chassis, the anti-sinking movement is realized on the loose grain surface; and the WBC whole body controller based on inverse dynamics and granular mechanics is adopted, so that the chassis can actively offset the huge reaction force generated by the flat warehouse operation of the mechanical arm, ensure the overall stability during heavy load operation, at the same time, the variable stiffness admittance control is adopted for the mechanical arm, high efficient flat warehouse and automatic obstacle crossing are realized, the present application completely solves the technical bottleneck that the existing equipment is easy to sink and operation unstable on unstructured granular medium, and realizes the full autonomous and integrated grain warehouse flattening and deep layer monitoring operation.

A communication method and apparatus, applied in the field of communication technology, the method includes: upon entering an active state of discontinuous transmission and reception in a cell, determining the state of the active state, the active state including one or more of a first state or a second state, wherein the transmission configuration corresponding to the first state and the second state are different; and performing uplink communication transmission based on the transmission configuration corresponding to the current state. By setting an adaptive switching mechanism for transmission configuration, when in an active state, the adaptive mechanism is automatically activated, and the transmission configuration is automatically switched according to the active state, without the need for additional activation configuration signaling and activation switching signaling, etc., better matching the needs of periodic activation scenarios and effectively coping with data surges at the initial stage of activation.

The present application relates to the technical field of ocean observation, and provides an ocean observation data transmission system, method and equipment.The system comprises an ocean buoy platform, an underwater connection networking device and a shore-based server.The underwater connection networking device is provided with a battery compartment.The ocean buoy platform is used to supply power to the underwater connection networking device and charge the battery compartment when a solar power supply mode is executed, and trigger a first communication mode.The ocean buoy platform is also used to adjust the communication frequency according to the remaining power of the battery compartment after communication with the shore-based server is established using the first communication mode, and trigger a second communication mode after communication with the shore-based server is not established using the first communication mode, and adjust the communication frequency according to the remaining power of the battery compartment after communication with the shore-based server is established using the second communication mode.The present application realizes real-time dynamic adjustment of charging and discharging strategies and adaptive switching of data transmission modes, and effectively solves the technical problem of limited system endurance in insufficient light scenarios.

The invention discloses a method and a system for generating and executing an anti-interference flight strategy of a C2 link of an unmanned aerial vehicle, and particularly relates to the technical field of unmanned aerial vehicle communication. The method comprises the following steps: acquiring urban building material parameters and unmanned aerial vehicle flight parameters; based on the parameters, combining a free space path loss model, a Rice fading model and a blade peak diffraction model to construct an urban environment channel model; injecting same-frequency Wi-Fi interference and building reflection interference signals to calculate a signal to interference plus noise ratio; based on the signal to interference plus noise ratio, calculating the bit error rate and evaluating the anti-interference performance, and generating an anti-interference optimization scheme including frequency band switching and flight height adjustment; and controlling the unmanned aerial vehicle to execute the strategy. Aiming at the problems of Wi-Fi co-frequency interference, building shielding, glass curtain wall multipath reflection and the like in a complex urban environment, frequency band self-adaptive switching and flight height optimization are realized through multi-model joint simulation and dynamic strategy generation, the bit error rate is reduced, the anti-interference capability is improved, and the method has the advantages of being simple in structure and convenient to operate. And the communication reliability and the flight safety of the unmanned aerial vehicle in a complex urban environment are effectively guaranteed.

This application relates to the field of semiconductor manufacturing technology and discloses a silicon carbide dicing control method and system based on wafer yield. The method first collects dicing parameters and real-time yield data, calculates and sorts sensitivity coefficients to identify key sensitive parameters, then retrieves historical high-yield optimal parameter combinations to generate an initial scheme, compares the yield threshold to determine deviations and basic adjustment rules, then adjusts parameters according to sensitivity sorting, adaptively switches the step size based on yield response ratio, and calculates parameter correction amounts by fusing deviations and rules; simultaneously, invalid parameter combinations are stored in a taboo table, and dicing instructions are generated based on the correction amounts to execute the dicing; finally, new batch data is collected to update the sensitivity coefficients and taboo table, archives the records, and iterates continuously to form a continuous optimization closed loop. This application continuously improves yield and production efficiency through a self-learning closed loop, fundamentally solving the problems of low dicing quality and production efficiency caused by manually set parameters and lack of yield feedback.

The utility model discloses a kind of primary side feedback self-adapting switching power supply, it is related to electronic circuit field. Including input, voltage transformation, control module and output port. Input module carries out lightning protection, rectification filtering pretreatment to external ac power supply;Control module takes CRE6255MDQ chip as core, realizes primary side feedback control by auxiliary winding voltage division, saves secondary feedback circuit, dynamically adjusts the duty cycle of switching tube to stabilize output;Voltage transformation module is processed after synchronous rectification and filtering, and output stable DC voltage. The utility model simplifies circuit structure by primary side feedback technology, reduces component quantity and cost, improves adaptive adjustment capability, can effectively cope with input voltage fluctuation and load variation, with overcurrent, overvoltage protection function and low-loss characteristics, suitable for the efficient stable power supply of multiple electronic equipment.

The invention discloses a digital twinning and hanging load coupled well leakage monitoring system and method. According to the system, a full-shaft multi-physics-field coupled digital twinborn model is constructed, a fluid density correction model changing along with pressure and temperature and an unsteady fluid mechanics calculation method are combined, and the theoretical pumping pressure and the theoretical hook hanging load are obtained; based on the deviation between the actually-measured pump pressure and the theoretical pump pressure and the deviation between the actually-measured hook hanging load and the theoretical hook hanging load, a pump pressure-hanging load cooperative judgment mechanism is established, and well leakage state recognition is achieved; determining a well leakage position through a virtual monitoring node arranged along a shaft in combination with pressure wave propagation characteristics; meanwhile, self-adaptive switching of monitoring modes is achieved according to the state of the underground pressure measuring instrument. The accuracy and real-time performance of well leakage identification can be improved, and the influence of temperature and pressure disturbance on the identification result is reduced.

The application discloses a kind of multi-protocol interface adaptive switching touch screen driving integrated circuits, including protocol detection module, protocol switching controller, I2C interface circuit, USB interface circuit, touch signal processing module and power management module.Protocol detection module is automatically identified input signal protocol type by voltage comparator and frequency detection unit, protocol switching controller completes interface switching within 100ns, supports the seamless switching of I2C (100kHz-1MHz) and USB (1.5MHz-12MHz) protocol.Touch signal processing module uses 12-bit ADC and digital filter to realize high-precision touch coordinate calculation.The integrated circuit uses 7mm×7mm QFN package, single-chip solution multi-protocol compatibility problem, can reduce system complexity by more than 30%.

This invention relates to the field of road construction machinery technology, specifically to a hydraulic control system and method for a screed used in a paver. The invention achieves multiple working modes by adjusting the control logic combinations of control valve blocks, pilot valves, lifting valves, speed control valves, synchronization valves, loop valves, load reduction pressure switch valves, left floating valves, right floating valves, right locking valves, and left locking valves to adapt to the performance requirements of various working stages during the paving process. This invention can automatically identify the stage and working condition of the paving operation, controlling each control valve to execute the corresponding control logic, enabling the hydraulic system to adaptively switch between multiple working modes, including pre-adjustment and synchronization mode, paving floating mode, active locking mode, and adaptive pressure adjustment mode. This invention achieves high-precision synchronization of screed pre-leveling, effectively solving construction problems such as difficulty in leveling ultra-wide screeds, asymmetrical paving indentations, and low-temperature start-up bulges, significantly improving paving quality and intelligence.

This invention discloses a pre-handover method for maritime fleet communication relays based on sea state prediction, comprising: Step 1, collecting and fusing multi-source data; Step 2, constructing a joint digital twin simulation engine for sea state and electromagnetic environment, inputting multi-source data into the digital twin simulation engine, and calculating the expected channel quality parameters and prediction confidence of each relay link in each time period within the next N hours through multi-physics coupling simulation; Step 3, arranging the expected channel quality parameters of each link in the future time period in chronological order to generate the expected channel quality change curve of each relay link; Step 4, conducting a cascade failure risk assessment, and then determining whether to execute a step-by-step link handover based on the pre-handover trigger; Step 5, with the optimization objective of minimizing the weighted sum of handover interruption risk, link resource waste, cascade failure loss, and information timeliness degradation, jointly solving for the optimal pre-handover timing, optimal target link, and optimal relay type combination, and performing adaptive handover.

This invention relates to the field of pipeline monitoring technology, specifically disclosing a pipeline leakage risk early warning system based on multi-source data fusion. The system includes: a data acquisition and monitoring switching module, a feature extraction module, a probability analysis module, and a risk classification module. It constructs a heterogeneous sensor network for the target pipeline, collects multi-source feature parameters of the pipeline and its surroundings in real time, generates data quality labels, adaptively switches monitoring modes, extracts corresponding dominant feature groups from the multi-source feature parameters based on the monitoring mode, and performs dynamic verification of the physical model and multi-source data fusion based on the monitoring mode, combined with the data quality labels and dominant feature groups. It calculates the physical model fit and comprehensive leakage probability, and performs risk classification and early warning based on the physical model fit and comprehensive leakage probability. This achieves accurate identification and early warning of leakage risks in complex environments, effectively reducing false alarms and missed alarms.