840 results about "Fixed frequency" patented technology

The invention relates to a water quality real-time detection system which comprises the following modules: a multi-source sensing module which is based on a multi-parameter sensing array, adopts a self-adaptive sampling strategy, realizes sensor time sequence synchronization through a state estimation algorithm, completes water body multi-dimensional parameter acquisition in combination with a micro-fluidic chip, generates a multi-modal sensing data set, and transmits the multi-modal sensing data set to a data processing module; the multi-source sensing module comprises a multi-source sensing sub-module, a signal conditioning sub-module, a time sequence synchronization sub-module and an anomaly capture sub-module. The method has the advantages that through the synergistic effect of the adaptive sampling strategy and the state estimation algorithm, the multi-sensor time sequence synchronization precision is remarkably improved, the phase deviation problem caused by traditional fixed frequency sampling is effectively eliminated, the sliding window polynomial fitting is combined with the wavelet threshold de-noising technology, and the multi-sensor time sequence synchronization precision is improved. High-frequency noise interference is greatly suppressed on the premise that effective components of the signals are reserved, and meanwhile, the abnormal value detection accuracy is improved through a dynamic threshold mechanism.

The invention relates to an arterial traffic coordination control real-time optimization method. The method comprises the following steps: S1, collecting traffic data and converting the traffic data into input data suitable for a graph neural network; s2, constructing a graph data structure, setting intersections as nodes, setting road sections as edges, and adjusting the weight of the weighted adjacent matrix at a fixed frequency according to the traffic data of the road and the historical traffic flow; s3, taking the graph data structure in the S2 as input, constructing a graph neural network model, and capturing spatial-temporal characteristics among nodes; and S4, formulating or adjusting an objective function according to the spatial-temporal characteristics, the actual traffic demands and the constraint conditions, solving the objective function by a genetic algorithm, carrying out continuous iteration on crossover and variation, and evaluating individuals according to the objective function and the constraint conditions in each iteration to obtain an optimal signal timing scheme. According to the method, spatial-temporal characteristics are effectively captured by adopting a graph neural network technology, signal timing optimization is carried out in combination with a genetic algorithm and reinforcement learning, and a signal timing scheme can be dynamically adjusted according to real-time traffic demands.

The invention relates to the technical field of communication control, and discloses a self-adaptive frequency jump method, device and equipment for a low-power-consumption dual-mode Bluetooth chip, and the method comprises the steps: obtaining a current Bluetooth mode, detecting the channel quality of a communication environment, obtaining the basic characteristics of the channel quality, and constructing a channel decision management framework; the communication interference condition is detected in real time, the channel decision management framework is adjusted to avoid interference, and real-time channel quality monitoring and channel selection directivity analysis are carried out according to the adjusted channel decision management framework to obtain channel selection reference features. According to the method, channel selection and frequency hopping strategies are optimized through a self-adaptive frequency hopping mechanism, channel frequency hopping decision preprocessing of mode conversion is carried out on another Bluetooth mode on the basis of channel selection reference characteristics, collaborative decision of channel frequency hopping is carried out, and the dual-mode Bluetooth chip is driven to carry out channel frequency hopping processing. The problem that in the prior art, a fixed frequency hopping mechanism is difficult to adapt to the communication requirement of dual-mode Bluetooth is solved.

The invention discloses a bearing fault diagnosis method based on multi-scale frequency sensing dynamic enhancement, and the method comprises the steps: collecting a vibration signal in a bearing operation state, carrying out the preprocessing of the vibration signal, obtaining a time-frequency matrix, and dividing the time-frequency matrix into a training set and a test set; building a multi-scale frequency network sensing model, inputting a time-frequency matrix in a training set into the model to realize extraction of multi-scale features, then performing pooling, time sequence compression, flattening and dimension reduction on the extracted multi-scale features, and then outputting fault category probability distribution through a classifier; and finally, testing the trained model by using a test set, and calculating evaluation indexes such as accuracy, a confusion matrix, an ROC curve and the like. The method has high accuracy while keeping light weight, breaks through double limitations of fixed frequency band and sensitive rotating speed of a traditional method, and can provide a high-precision and low-cost light-weight solution for engineering application of variable-rotating-speed mechanical fault diagnosis.

The present disclosure discloses a method for designing a terminal guidance law based on deep reinforcement learning, and relates to the field of missile and rocket guidance. The method includes: establishing a relative kinematics equation between a missile and a target in a longitudinal plane of a target interception terminal guidance section of the missile; to adapt to a research paradigm of reinforcement learning, abstracting a research problem and modeling as a Markov decision process; building an algorithm network, and setting algorithm parameters, where a selected deep reinforcement learning algorithm is a deep Q-network (DQN); in a terminal guidance process of each round, obtaining a sufficient number of training samples through Q-learning, training a neural network and updating a target network at fixed frequencies respectively, and continuously repeating the above process before set learning rounds are reached.

The invention discloses a self-adaptive noise reduction method for a positive pressure type air respirator based on airflow spectrum characteristics, and relates to the technical field of positive pressure type air respirators.The self-adaptive noise reduction method comprises the steps that a respirator air path pressure signal and an environment noise signal are synchronously collected through an airflow sensor and a microphone array; performing time-frequency analysis on the collected signals, and extracting airflow spectrum features; and establishing a mapping relation between the working state of the breathing machine and the noise spectrum based on the historical record according to the mapping relation between the working state of the breathing machine and the noise spectrum. Through real-time acquisition and analysis of airflow frequency spectrum characteristics, accurate identification of useful airflow signals and environmental noise signals, dynamic adjustment of noise reduction parameters, effective suppression of high-frequency noise and low-frequency vibration, and improvement of noise reduction effect, compared with a traditional fixed frequency band filtering or passive sound insulation material, the method can better cope with a non-stationary noise environment, and has good application prospects. The noise reduction strategy is adjusted in real time, clear auditory information is provided in a complex noise environment, and therefore the auditory perception ability of firemen is improved.

The invention is suitable for the technical field of 3D scanning, and provides a figure model 3D scanning and dynamic attitude capturing method and system, which dynamically triggers 3D scanning by monitoring joint movement intensity in real time, continuously collects continuous movement tracks by using an inertial sensor in a non-scanning period, and reversely deduces space-time parameters of a shielded part through multi-light-source shadow boundary evolution. And constructing a spatio-temporal joint evaluation function to adaptively adjust the scanning frequency and the sampling rate, and finally performing spatio-temporal alignment and confidence weighted fusion on the discrete point cloud, the continuous trajectory and the reverse reckoning data to generate a dynamic biomechanical model. The scheme breaks through the bottleneck of resource waste and blind area shielding of traditional fixed frequency scanning, realizes space-time complementation and precision optimization of motion monitoring, and is suitable for dynamic scenes such as movie and television animation, medical rehabilitation, physical training and the like. According to the system, through multi-modal data fusion and self-adaptive resource scheduling, the data integrity, the real-time performance and the biomechanical analysis capability are remarkably improved, and an efficient solution is provided for human motion digitization.

The invention relates to the technical field of unmanned aerial vehicle path planning and electromagnetic environment perception, provides an unmanned aerial vehicle path planning method and system based on a multi-frequency electromagnetic map, and aims to improve the navigation capability of an unmanned aerial vehicle in a complex electromagnetic environment and improve the task execution safety and communication reliability. The method comprises the following steps of: firstly, acquiring geographic information of a target area through GMTED2010 to carry out grid division on the area, and establishing a standardized geographic coordinate system; then, forming a three-dimensional signal to interference plus noise ratio array, extracting two-dimensional slice data through a fixed frequency dimension, and establishing a geographic space mapping relation; then, the signal to interference plus noise ratio is visualized in combination with an RGB color space, a signal to interference plus noise ratio threshold value is set according to communication requirements, a non-flying area is delimited, and finally a multi-frequency signal to interference plus noise ratio feasible region map is generated. The search weight is adjusted through an optimization algorithm, so that the path can avoid a strong interference area; the flight path is optimized by deleting redundant path points, and it is ensured that the unmanned aerial vehicle has the more efficient and stable navigation capacity.

The invention provides an online monitoring method for product quality in a solid waste recycling process, and belongs to the technical field of solid waste recycling. A parameter acquisition system is constructed to synchronously acquire a multi-parameter matrix, a sampling rate determination function is applied to realize dynamic adjustment of a sampling frequency, and a solid waste component migration equation is utilized to analyze a substance conversion rule; a spectrum fusion optimization function is used for processing various spectrum data, an FWM model is used for achieving product quality multi-dimensional evaluation, the heavy metal content is monitored in combination with an electrochemical sensor network, a comprehensive quality evaluation result is finally formed, an updating sampling rate is output through the FWM model, a function weight coefficient is determined, online monitoring closed-loop control is formed, and the comprehensive quality evaluation result is obtained. Real-time, accurate and comprehensive monitoring of the quality of solid waste recycling products is realized, the problem of key process transition point data missing caused by fixed frequency sampling is effectively solved, and reliable technical support is provided for optimization of the solid waste recycling process.

The invention belongs to the technical field of plasma sources, and provides a high-power high-stability remote plasma source fuzzy hysteresis control method and a circuit, when a reaction cavity is successfully ignited, a plasma source system is controlled to work at constant-frequency variable-duty-ratio constant-power output, and the method comprises the following steps: according to a sampled current value, a duty ratio, a predicted current value and a predicted duty ratio, calculating a constant-frequency variable-duty-ratio constant-power output value; respectively obtaining error control variables e and ec; the error control variables e and ec serve as input values of a fuzzy controller, and the actual control quantity hr output by the fuzzy controller is obtained; obtaining compensation variables # imgabs0 # and # imgabs1 # of the current and the duty ratio based on the error control variables e and ec; and taking the actual control quantity hr as the ring width value of a hysteresis comparator, and respectively compensating the current # imgabs4 # and the duty ratio # imgabs5 # at the moment k by outputting compensation variables # imgabs2 # and # imgabs3 # according to a preset rule. According to the method provided by the invention, a power window in a relatively wide range can be ensured, so that the working stability of the remote plasma source is improved, and the uniformity of a semiconductor manufacturing process is improved.

The invention discloses a carrier communication system power frequency band adjusting method and device, a carrier communication system comprises a plurality of preset frequency bands, and the adjusting method comprises the following steps: respectively obtaining channel noise data of the plurality of preset frequency bands in a current detection period; based on a frequency band quality relevance model, the communication quality evaluation value of the corresponding preset frequency band is calculated in combination with the channel noise data, and the frequency band quality relevance model is trained based on the noise historical data of the preset frequency band and the corresponding link quality historical data; and selecting a corresponding preset frequency band as a selected frequency band of the next detection period according to the communication quality evaluation value, and synchronously optimizing the power configuration of the carrier communication system according to the selected frequency band. Through a frequency band quality evaluation model fusing multi-dimensional noise feature analysis and historical data driving, the defects of traditional fixed frequency band allocation and linear power adjustment are effectively overcome, and prospective accurate prediction and adjustment of frequency band communication quality are realized based on noise history and link quality relevance modeling.

The invention relates to a quay crane RTK positioning precision evaluation method and system and a storage medium, and the method comprises the steps: L1, when an unmanned container truck carries out the container loading and unloading operation under a quay crane, the quay crane RTK feeds back the positioning value of a vehicle according to a fixed frequency, and obtains the data information of the positioning value of the vehicle within a fixed time; l2, based on the data information of the positioning value of the vehicle within the fixed time, predicting the positioning value of the vehicle by adopting an improved ELMAN dynamic recurrent neural network prediction algorithm optimized based on a particle swarm optimization algorithm to obtain the data information of the predicted positioning value of the vehicle; and L3, based on the predicted data information of the positioning value of the vehicle, optimizing the positioning value of the vehicle by adopting a zebra optimization algorithm of a self-adaptive dynamic learning factor based on global search to obtain the optimized data information of the positioning value of the vehicle. The alignment success rate of the unmanned container truck can be increased, and harbor area operation can be prevented from being affected.

The invention relates to a reconfigurable dual-mode leaky-wave antenna with global scanning capability and a reconfiguration method, the leaky-wave antenna comprises a double-layer slow-wave waveguide structure formed by an upper metal conductor and a lower metal conductor, and the upper metal conductor and the lower metal conductor are separated by a dielectric substrate; the double-layer slow-wave waveguide structure comprises a plurality of periodic units, and a plurality of T-shaped structures with opposite directions are processed on upper and lower layers of metal conductors of each periodic unit to form a plurality of grooves; a variable capacitance diode is embedded into the tail end of a slot arm of the upper-layer metal conductor and is electrically connected with the lower-layer metal conductor through a metal via hole, and a closed loop is formed between the upper-layer metal conductor and the lower-layer metal conductor; a plurality of elliptical radiation patches are arranged at the top of a slot arm of the lower metal conductor at intervals and used for radiation leakage of the slow wave waveguide, and continuous frequency scanning covering 180 degrees is achieved; according to the invention, two modes of frequency scanning and fixed-frequency scanning are fused, 180-degree global scanning can be realized in any frequency reconfigurable interval, and beams can be flexibly reconstructed through multiple control strategies under a fixed-frequency condition.

A device comprises a superconducting quantum circuit comprising a coupler which is coupled to a first quantum bit and a second quantum bit. The coupler comprises a tunable coupler and a fixed coupler. The coupler is configured to operate in a first mode to suppress coupling between the first quantum bit and the second quantum bit, when the tunable coupler is tuned to have a first frequency which corresponds to a fixed frequency of the fixed coupler. The coupler is configured to operate in a second mode to enable coupling between the first quantum bit and the second quantum bit, when the tunable coupler is tuned to have a second frequency which is different from the fixed frequency of the fixed coupler.

The invention discloses an intelligent energy-saving control method for an air compression system based on data driving. The intelligent energy-saving control method is suitable for an industrial air compression station with multiple parallel units. According to the method, operating parameters of all air compressors and pressure and flow data of a header pipe are collected in real time, an energy efficiency model of the output flow and the gas-electricity ratio of all frequency converters is established, and the future flow requirement of the header pipe is dynamically predicted in combination with the characteristics of a fixed frequency machine. Based on a prediction result and a single-machine energy efficiency model, the basic load and the fluctuation load are distributed according to the overall energy efficiency optimization principle of the system, the start-stop sequence and the rotating speed of each unit are determined, and stable main pipe pressure, continuous gas supply, rapid response and good operation flexibility are achieved. By means of the method, the energy efficiency difference of all the units can be fully utilized, energy consumption fluctuation and equipment abrasion caused by frequent starting and stopping are reduced, and the overall energy utilization rate of the air compression system and the reliability of the industrial production process are improved.

The invention discloses a frequency measurement circuit and a frequency measurement method, belongs to the technical field of frequency measurement, and mainly solves the problems that the existing frequency measurement is large in frequency error, low in frequency measurement speed and narrow in frequency measurement bandwidth, and cannot meet the requirements of radar communication. The frequency measurement circuit comprises an FPGA control module, a reference clock circuit connected with the FPGA control module, a DDS frequency output circuit, a phase discrimination frequency control circuit, a frequency mixer connected with the phase discrimination frequency control circuit, and a radio frequency input circuit connected with the frequency mixer. According to the frequency measurement technology, the DDS output frequency is directly collected according to the characteristic that the FPGA collects the low frequency, the DDS output frequency serves as the phase discriminator phase discrimination frequency, frequency measurement is conducted in a phase locking mode, and the frequency measurement precision is high; the phase discriminator is set to have a fixed frequency dividing ratio, the phase discriminator is configured with a fixed register, a DDS frequency sweeping mode is adopted, and the frequency measurement time is short by changing the phase discrimination frequency of the phase discriminator to the output frequency of the phase-locked loop; and the frequency measurement bandwidth is increased by using a radio frequency input frequency division mode.

The invention discloses a soft start control method, a soft start control device and a switching power supply. The soft start control method comprises the following steps: starting at a first set frequency; comparing the output voltage Vout with the output judgment threshold Voth to judge the calculation mode of the switch preset frequency; if Vout is smaller than Voth, the switch preset frequency is calculated according to the output voltage; if Vout is greater than or equal to Voth, subtracting a fixed frequency quantity from the switching frequency of the previous judgment period as a switching preset frequency; judging whether current protection needs to be executed or not according to comparison between the resonant cavity current and a set resonant current protection threshold value; calculating the difference between the switch preset frequency and the switch frequency of the previous judgment period, comparing the difference with the maximum frequency step value and the minimum frequency step value respectively, updating the switch preset frequency, and ensuring that the switch preset frequency is adjusted within the range of the maximum frequency step value and the minimum frequency step value; and comparing the loop calculation frequency with the switch preset frequency, determining the final output switch frequency, and judging whether to end the soft start or not. The control is simple, and the monotonous rise of the output voltage within the full-load range can be realized.

The invention relates to the technical field of conveyer belt nondestructive testing, and discloses a conveyer belt hidden damage identification method based on acoustic emission signal frequency domain migration, which comprises the following steps: collecting acoustic emission signals in the operation of a conveyer belt in real time, carrying out time-frequency analysis to construct a time-frequency energy matrix, and migrating a frequency band division rule of a historical working condition to a current signal through a domain adaptation algorithm in transfer learning to form a self-adaptive feature sensitive frequency band, comparing a noise spectrum fingerprint database to remove frequency band components overlapped with noise, and inputting residual frequency bands into the lightweight convolutional network to output a recognition result. As the acoustic emission signal frequency band of the hidden damage of the conveyor belt dynamically shifts along with damage evolution and working condition change, the method can sense signal energy distribution in real time and dynamically adjust and focus on the frequency band which can best represent damage characteristics, so that the problems of incomplete characteristic extraction and misjudgment caused by frequency band solidification are avoided.

The invention discloses a gas turbine exhaust temperature control method and system, and the method comprises the steps: obtaining the inlet and outlet pressure of a gas compressor, calculating the pressure ratio of the gas compressor according to the inlet and outlet pressure, and calculating a turbine exhaust temperature set value through a first function; acquiring a power grid frequency, subtracting the power grid frequency from a fixed frequency to obtain a power grid frequency difference, and calculating initial gas turbine exhaust temperature set value correction according to the power grid frequency difference; the turbine exhaust temperature is obtained, a first fuel flow reference is calculated through a first controller, and a second fuel flow reference is calculated through a second controller; obtaining a third fuel flow reference, comparing the third fuel flow reference with the second fuel flow reference, correcting the temperature control line in combination with the initial gas turbine exhaust temperature set value correction, and taking the smaller value of the third fuel flow reference and the first fuel flow reference as the final fuel flow reference, so that the primary frequency modulation performance of the unit is improved; and frequency modulation economic benefits are brought to the unit, and consumption of renewable energy sources is promoted.

The invention discloses a micro-electromagnetic positioning method and system and a storage medium thereof. The method comprises the steps that sine wave current with fixed frequency sequentially, circularly and alternately passes through three groups of magnetic source micro-electromagnetic coils in sequence to excite sine wave magnetic fields in three dimensions; acquiring magnetic field data information of a positioning target in the sine wave magnetic field, and acquiring the magnetic field data information of the positioning target in the corresponding sine wave magnetic field based on the fact that one group of magnetic source micro electromagnetic coils are electrified each time, the magnetic field data information comprises a three-dimensional magnetic field component sensed by the positioning target in the sine wave magnetic field; fitting the three-dimensional magnetic field component of each dimension, and decomposing the three-dimensional magnetic field component to obtain independent magnetic field signals of three groups of magnetic source micro electromagnetic coils at the positioning target; and obtaining the position and attitude information of the positioning target according to the independent magnetic field signal. According to the invention, three-dimensional sine wave magnetic fields with fixed frequency can be excited circularly and alternately, so that a positioning target can generate three-dimensional data to facilitate positioning calculation. In addition, a function fitting mode is adopted to assist in positioning calculation, after n-point data fitting, the standard deviation of an equivalent magnetic field measurement value can be reduced to # imgabs0 # of a direct measurement result, the signal-to-noise ratio is remarkably improved, superimposed magnetic field signal data with high accuracy are extracted, and the precision of a positioning system can be improved. According to the positioning method, the system is high in anti-interference capability, the calculation result is more accurate, the overall power consumption is low, and the cost is low.

The invention relates to the field of intelligent door and window alarm, in particular to a low-energy-consumption intelligent door and window safety alarm method and system based on environmental perception. The invention discloses a low-energy-consumption intelligent door and window safety alarm system based on environmental perception. The system comprises a correlation calculation module, an initial score calculation module, a monitoring alarm module and a monitoring frequency updating module. According to the method, the system energy efficiency is obviously optimized through a dual periodic scoring mechanism and a monitoring frequency dynamic adjustment strategy; establishing a basic energy consumption baseline based on an initial score generated by a user characteristic parameter, and generating a second importance score to accurately quantify a risk value of each scene in combination with deviation degree analysis and time sequence correction of short-period environment monitoring data; the dynamic regulation and control mode enables the equipment to maintain an ultra-low power consumption state in a risk-free period, and compared with a traditional fixed frequency, the monitoring scheme can significantly reduce energy consumption, and is especially suitable for long-term stable operation of a battery-powered intelligent window control device.

The invention discloses a moisture content measuring system and method based on a flexible conformal antenna sensor. Amplitude attenuation and phase deviation can occur when a microwave signal is propagated in a fluid to be measured, amplitude attenuation and phase deviation values are related to the dielectric constant of the fluid to be measured, and the dielectric constant of water at normal temperature is about 78 and is greatly different from the dielectric constant of oil or air. According to the invention, the moisture content information can be obtained by detecting the amplitude attenuation and the phase deviation value under the fixed frequency point. According to the invention, 0-100% full-scale moisture content measurement can be realized. The flexible conformal antenna sensor breaks through the fixed mode that the convex surface of a traditional conformal antenna radiates outwards, the design that the circular patch is embedded in the concave surface is adopted, the direction of a main wave beam is centripetally focused in the radial direction of a pipeline, directional radiation of electromagnetic waves to a to-be-detected fluid pipeline area is achieved, and the energy coupling efficiency between the electromagnetic waves and fluid is improved; and the dielectric property change of the whole watershed of the fluid is detected.

The invention relates to the technical field of radio frequency, in particular to a radio frequency conversion assembly, and the assembly comprises a baseband processing unit which employs a millimeter wave SoC chip and is used for generating and processing an initial transmitting signal of 79-81GHz and an initial receiving signal of 79-81GHz; the frequency conversion unit comprises an up-conversion subunit and a down-conversion subunit, and the local oscillation synthesis unit is used for generating and providing a local oscillation signal with a fixed frequency; the mode switching and processing system is used for selectively performing down-conversion processing on the echo signal or a target radio frequency signal from an external non-cooperative irradiation source in two working modes and then transmitting the echo signal or the target radio frequency signal to the baseband processing unit; the working mode comprises an active mode and a passive mode.

The invention belongs to the technical field of unmanned aerial vehicle path planning, and relates to an unmanned aerial vehicle flight path planning method based on radio frequency fingerprints. According to the invention, by constructing the multi-band radio frequency fingerprint database, the latest states of the terrain, the obstacles and the electromagnetic signals of the target area are included in real time, so that the accuracy of long-term operation and the strategy timeliness are ensured; the flight path is adjusted in real time through the flight process parameters monitored in real time, the problems that the unmanned aerial vehicle deviates from the flight path, energy consumption exceeds the standard or the collision risk is likely to be caused by dynamic changes of wind power, electric quantity, airflow and the like in the flight process can be responded, and it is guaranteed that the unmanned aerial vehicle can still fly safely in the scenes of sudden strong wind, insufficient electric quantity and the like; the manual intervention frequency and the out-of-control risk are reduced; by adaptively switching the radio frequency band of the unmanned aerial vehicle and calling the corresponding frequency band fingerprint database, the problem of link interruption caused by same frequency interference when the unmanned aerial vehicle adopts fixed frequency band communication in the flight process is solved, and communication interruption and positioning failure are avoided.

The invention discloses a tire detection method and system, an electronic device and a storage medium. The tire detection method comprises the following steps: collecting measurement data of a tire pressure sensor; identifying a vehicle state using the measured data; adjusting the acquisition frequency of a tire pressure sensor and an awakening mechanism of a microcontroller according to the vehicle state; acquiring tire pressure data by using a tire pressure sensor under the acquisition frequency; and under the awakening mechanism, awakening the microcontroller, and sending the tire pressure data to a receiving end according to a preset sending frequency corresponding to the vehicle state by utilizing the microcontroller. According to the technical scheme, the technical problem that in the prior art, a tire pressure sensor depends on periodic sampling and fixed-frequency communication, and consequently a large amount of invalid power consumption is generated can be solved.

Embodiments of the present application provide an electronic device and its driving method, display driver, and processor, relating to the field of electronic technology. These devices are used to ensure that the actual screen refresh rate can promptly respond to the image refresh rate of a core processing chip, such as an upper-layer SOC. The electronic device includes a display driver IC (DDIC) and a system-on-chip (SOC). The display driver IC (DDIC) is used to transmit a time-of-flight (TE) signal. The TE signal has a first fixed frequency f1, where f1 is a common multiple of the multiple screen refresh frequencies f supported by the electronic device. For example, if the electronic device supports 60 Hz, 90 Hz, and 120 Hz, then f1 is 360 Hz. The SOC is used to receive the TE signal and output display data to the display driver IC at a variable frequency f2. Here, f1 = n * f2. Therefore, the pulse period of f1 is the first pulse period T1, and the pulse period of f2 is the second pulse period T2, where T2 = n * T1. n is the ratio of f1 to the current frame's f. The second pulse period T2 of the current frame f2 is always n times the first pulse period T1 of f1, meaning that display data is always transmitted once every n T1s. n varies with the screen f.

The invention provides a battery energy storage secondary frequency modulation control method and system based on dynamic participation factors and adaptive model predictive control, and the method comprises the following steps: S1, taking a frequency response model of a classical double-region interconnected power grid as a research object, and employing a fixed frequency and tie line power deviation control mode TBC to establish a fire storage combined frequency modulation equivalent model; wherein the thermal power generating unit participates in primary and secondary frequency modulation of a power grid, and the battery energy storage only participates in secondary frequency modulation; s2, adopting a double-layer judgment mechanism as a division basis of frequency modulation responsibility between battery energy storage and a thermal power generating unit; s3, taking the frequency modulation responsibility obtained by the dynamic energy storage participation factor as an optimization target, and utilizing an adaptive model to predict and control MPC to issue an instruction signal to enable energy storage to act in advance in frequency modulation control; and S4, formulating a frequency modulation control strategy considering SOC recovery according to the state interval of the regional control deviation signal ACE and the energy storage SOC. According to the method, the conflict between energy storage frequency modulation and SOC recovery is effectively relieved.

The invention discloses an online quality detection method and system for a stranded cable. The system comprises a data acquisition module, a data processing module and a quality detection module, relates to the technical field of cable quality detection, and solves the technical problem that the accuracy of cable quality detection in the wire drawing and stranding process is not high due to the fact that the acquisition frequency of a sensor is dynamically adjusted according to the movement speed of a stranded cable in the prior art. According to the invention, the movement speed of the wire rod is obtained in real time and the detection frequency is dynamically adjusted, so that the synchronous matching of the detection process and the production rhythm is ensured, and the problem of missing detection or repeated acquisition caused by traditional fixed frequency detection is avoided; the cable stranded wire is divided into a plurality of detection sections, and multi-dimensional data acquisition and analysis are performed in combination with an image recognition algorithm and a laser detection technology, so that the defect recognition precision and the detection efficiency are improved; and furthermore, the quality condition is comprehensively judged based on the defect area and the laser data, so that the accuracy of quality evaluation of the cable stranded wire is improved.

The invention discloses a multichannel radio frequency energy ablation output system and method. Comprising an MCU control circuit, a touch screen display module, a temperature detection circuit, a sound prompt circuit, a program control voltage regulation circuit, a radio frequency energy generation circuit, a channel selection circuit, an energy bearing system, an output interface and detection circuit, a cooling system control circuit, a bypass measurement circuit and a system power supply circuit. The MCU control circuit sends an instruction signal to control the program control voltage regulation circuit and the radio frequency energy generation circuit to work, so that radio frequency energy output with fixed frequency and adjustable power is obtained, and the radio frequency energy output is sorted by the channel selection circuit and then is transmitted to the output interface, and is output to a corresponding energy bearing system by the output interface; the radiofrequency ablation output method and treatment scheme with adjustable power, real-time temperature detection, a cooling system and a built-in case system are realized, the operation steps of radiofrequency ablation treatment are simplified, and the radiofrequency ablation treatment is more efficient and quicker.

The invention discloses a signal reconnaissance, positioning and interference method based on deep learning, and belongs to the technical field of electronic countermeasures. The method comprises the following steps: deploying distributed reconnaissance nodes to obtain broadband electromagnetic signals; generating a spectrogram through time-frequency transformation, and identifying a fixed frequency / frequency hopping signal based on a deep learning model; fusing multi-node reconnaissance results to realize target situation awareness; the optimal positioning cluster is selected through dynamic networking, and the target position is calculated in combination with the arrival angle and time difference information; generating an optimal interference strategy based on the target situation and the position trajectory; networking cooperative interference is implemented; behavior parameters are collected in real time, the interference effect is evaluated through a machine learning model, and the strategy is dynamically adjusted. According to the method, the technical effects of high-efficiency and self-adaptive signal reconnaissance, positioning and interference in a complex electromagnetic environment are achieved.