350 results about "Continuous signal" patented technology

The invention provides an intelligent inspection operation robot, which comprises a self-adaptive interaction assembly for collecting unstructured features in an inspection environment of the inspection operation robot in real time, converting continuous signals of the unstructured features into discrete interaction decision nodes, and generating an interaction parameter set capable of being iteratively optimized through a cross validation mechanism; the autonomous intention analysis component constructs a probabilistic decision-making program based on implicit features of an operator behavior track of the inspection operation robot, extracts a potential mode of an operation intention through nonlinear correlation analysis in combination with an interaction parameter set, and recognizes an interaction demand which is not clearly expressed; and the collaborative response component constructs a response decision mechanism with self-organizing characteristics, and jointly inputs an interaction parameter set and an interaction demand into the response decision mechanism by establishing a dynamic association rule between different interaction channels of the inspection operation robot and an operator to generate a composite interaction scheme. According to the method, the composite interaction scheme comprehensively considering multiple factors can be generated.

The invention relates to a vehicle passing track circuit signal continuous generation device and method.The device comprises a controller, a signal generator and a power amplifier output circuit and further comprises a track signal switching circuit, a plurality of first relays and a plurality of second relays; the track signal switching circuit comprises at least one first decoder, at least one second decoder, at least one first phase inverter, at least one second phase inverter, at least one driver and at least one driver, the driver comprises a plurality of branches, and the number of the branches of the driver is larger than or equal to the sum of the number of the first relays and the number of the second relays. Compared with the prior art, analog signal control of multiple sections can be provided, so that continuous signal simulation is achieved, track circuit signals of one section can be repeatedly ground or a train continuously passes through the multiple sections, the coverage range of the test is widened, and the test efficiency is improved.

The inventive depth of the method presented here lies in the active modification of a time-dependent signal, enabling its use for particle characterization. The so-called oscillating signal offers advantages in signal analysis because the frequency of the high-frequency component can be specified. This improves signal selection within a continuous signal flow. The low-frequency component of the oscillating signal is derived from its limited edges and can be used to determine the particle property vector by analyzing the amplitude and signal smearing. Furthermore, the combinatorial complexity of the oscillating signals offers a possibility for precise particle classification using artificial intelligence.

The invention provides a scroll compressor cross ring dynamic strain wireless measuring device, which relates to the technical field of compressor state monitoring and comprises a high-temperature-resistant strain gauge, a wire fixing system and a wireless sensor. Wherein the high-temperature-resistant strain gauges are respectively attached to stress sensitive areas of a static key, a ring beam and a movable key of the cross ring every time; the wire fixing system comprises a three-stage fixing structure formed by an adhesive, an internal wire, an external wire and an internal binding post; the three stages of fixing structures are a strain gauge end fixing structure, a lead transition section fixing structure and a binding post end fixing structure in sequence; the high-temperature-resistant strain gauge is connected with the wireless sensor through an internal wire, a binding post and an external wire, and continuous signal collection is achieved. By implementing operation according to the technical route, the impact load borne by the cross ring at the moment of starting and stopping of the compressor can be collected in a high-quality mode, data collection in a closed cavity is achieved, and an experimental basis is provided for subsequent strength design of the cross ring.

The invention discloses a non-natural earthquake phase identification method based on image processing, and relates to the technical field of image processing, and the method comprises the following steps: capturing a continuous signal with the amplitude changing with time in a seismic wave propagation process in real time based on a sensor distributed by an earthquake monitoring station network, forming an original amplitude sequence, and carrying out the calculation of the original amplitude sequence; collected continuous signals are converted into three-channel images, and the image brightness is automatically adjusted according to the seismic wave data dynamic range. According to the method, a seismic wave multi-dimensional analysis system is constructed through a three-channel construction strategy, the first channel clearly shows the time domain difference between natural seismic progressive fluctuation and non-natural seismic pulse type sudden change, and the second channel accurately captures microsecond-level sudden change which is easy to neglect in traditional time domain analysis; the third channel clearly distinguishes natural earthquake low-frequency energy concentration and non-natural earthquake intermediate-frequency characteristic spectral lines, and the adaptive brightness adjustment technology aims at the intensity difference of multi-source earthquake signals, improves the distinguishing degree of non-natural and natural earthquake edges, and builds a recognition foundation firmly.

The utility model discloses a high-power transmission optical communication device, which comprises an optical resonant cavity, a vortex optical signal coding device and an optical signal transmission decoding device which are fixedly connected with a conical single crystal optical fiber, and is characterized in that: by optimizing signal light generation and designing an optical communication multiplexing modulation and transmission system, a double-end pumped rod-shaped conical single crystal optical fiber is utilized, so that the high-power transmission optical communication is realized; a set of solid annular resonant cavity is built, high-beam-quality stable continuous signal beams with the average power of dozens of watts can be output, meanwhile, a set of vortex optical communication system based on Dammann grating multiplexing different orbital angular momentums is built, the characteristics of vortex beam OAM are combined, a digital micro-mirror device is used for pulse time domain modulation, and the output power of the vortex optical communication system is improved. Loading of information amount with high fidelity and high signal-to-noise ratio is effectively achieved, multiplexing of multiple beams of different vortex signal light loaded with modulation signals in the same beam of light signal can be effectively achieved through a pair of designed conjugate gratings, and high-efficiency, high-speed, large-capacity, high-power and stable optical communication is achieved.

The invention discloses a root mean square value RMS detection method and system, and belongs to the technical field of measurement and control. Wherein a to-be-detected voltage signal is preprocessed by the filter amplification circuit, a square wave signal synchronous with a sine wave zero crossing point is generated through the zero crossing comparison circuit, a signal period boundary is identified, and an integral number of complete and continuous signal periods are extracted in real time through the period detection module; the cycle information identified by the cycle detection module is transmitted to the data storage and processing module, meanwhile, the sampling signal of the high-speed ADC module is transmitted to the data storage and processing module, and sine wave data sampled by the high-speed ADC module is subjected to point-by-point square operation; the square values in a complete period are accumulated and summed, and an original sampling sequence is not stored; fIR digital filtering is carried out on the RMS values of continuous C periods through a digital filtering module; and the dynamic response performance of the system under different frequency bands is remarkably enhanced while the measurement precision is improved.

The invention discloses a hand posture reconstruction method, system and device based on sEMG and a medium. The method comprises the following steps that a forearm sEMG signal to be estimated is collected; performing denoising processing on the forearm sEMG signal based on a continuous denoising network, and segmenting the forearm sEMG signal after denoising processing into a plurality of continuous signals; performing feature extraction on the continuous signals based on a mixed attention mechanism to obtain continuous signal features; hand posture prediction based on posture correction processing is carried out on the continuous signal features based on a dual-decoder prediction architecture, and hand continuous posture signals are obtained; calculating a hand joint angular acceleration based on the hand continuous attitude signal, and converting a hand attitude reconstruction image according to the hand joint angular acceleration; according to the method, the sEMG features are extracted more effectively by fusing sparse attention and channel attention mechanisms, the attitude correction capability is remarkably enhanced by using a double-decoder structure, and the real-time accuracy of hand attitude estimation is improved.

Regulator circuitry configured to manage power supply ripple using an adaptive loop gain that offers ripple rejection performance related to the ripple magnitude for a negative closed loop of the regulator circuitry. The power supply regulator circuitry of this disclosure includes an error amplifier in the closed loop and an adaptive loop gain circuitry. The adaptive loop gain circuit removes a DC component of the sensed output and feeds the sensed output, including the output ripple, to peak detector circuitry to obtain a Vpeak signal. The Vpeak signal output from the peak detector circuitry is a continuous signal that tracks the wave peak. The circuit arrangement multiplies the output of the error amplifier by the signal Vpeak resulting in improved power supply ripple rejection as the ripple amplitude increases. To avoid control signal with zero value during times that the peak-to-peak value of the sensed voltage.

The invention relates to the technical field of optical networks, and provides a metropolitan area-access all-optical convergence network system based on a digital subcarrier multiplexing technology. The system comprises a digital subcarrier-based continuous signal generation module in a metropolitan area node, a digital subcarrier-based burst signal generation module in an access network optical network unit, and a digital subcarrier beam splitting / combining module in a metropolitan area-access all-optical fusion node, the digital subcarrier-based west / east continuous signal receiving and processing module is arranged in the metropolitan area node; and the burst signal receiving and processing module is arranged in the access network optical network unit. All-optical fusion is achieved in a metropolitan area network and an access network system through the digital subcarrier multiplexing technology, delay and jitter caused by optical-electric-optical conversion can be effectively avoided, and precious wavelength resources are saved. In addition, different subcarriers are endowed with different functions, so that not only is bidirectional high-speed transmission realized, but also the flexibility of the network architecture is greatly improved.

The invention discloses a method and device for determining SAS patients based on PPG signals, and relates to the technical field of biomedicine. The method comprises the following steps: acquiring a target continuous PPG signal and oxyhemoglobin saturation data of a patient within a set duration; determining a trough position of the target continuous PPG signal based on a window sliding minimum detection method, and cutting the target continuous PPG signal into at least two single PPG signals; determining at least one risk duration corresponding to the patient and a blood oxygen change amplitude corresponding to each risk duration from set durations according to the blood oxygen saturation data; performing multi-peak fitting processing on each single PPG signal by adopting a Gaussian function to obtain a Gaussian wave mean value variation amplitude corresponding to each risk duration; and determining an SAS result of the patient according to the blood oxygen change amplitude and the Gaussian wave mean value change amplitude corresponding to each risk duration and a judgment standard. According to the method, the Gaussian wave mean value is used for replacing the heart rate, interference of high-frequency signals can be effectively ignored, and the SAS detection result is more reliable.

The invention discloses a partial discharge capacity-severity joint estimation method, a product and equipment, and belongs to the technical field of power equipment monitoring. The method comprises the following steps: S1, constructing a physical fusion framework of multi-modal data: constructing a partial discharge signal propagation graph structure, and converting multi-source heterogeneous data into a unified physical graph; s2, establishing a physical prior model of partial discharge propagation based on graph Laplacian frequency domain features; s3, constructing a correction network to compensate the deviation of the physical model; s4, carrying out capacity-severity joint estimation and uncertainty quantification: carrying out joint modeling on the continuous discharge capacity and the discrete severity level, approximating a real posteriori through a variational posteriori, and outputting point estimation and confidence information; and S5, risk assessment and adaptive optimization: performing risk level assessment based on a result of S4, and performing adaptive adjustment and optimization when a false alarm occurs. The method has continuous signal quantization and discrete grade discrimination capabilities, and is especially suitable for non-contact discharge detection scenes under complex medium conditions.

The invention relates to the technical field of electric power communication networks, and particularly discloses an electric power communication network operation state monitoring system and method, and the method comprises the steps: obtaining a transmission time ratio Fs and a packet loss rate Db of a data packet, calculating an operation state coefficient Zt, generating an operation analysis signal, and calculating a continuous signal overbound ratio Lx, a signal interval ratio Jg and the like based on the operation analysis signal. The early warning analysis coefficient Yf is compared with an early warning analysis threshold value coefficient Yfz, the risk degree of the network operation state is judged, and if the early warning analysis coefficient Yf is larger than or equal to the early warning analysis threshold value coefficient Yfz, it is indicated that the network is in a high-risk state, and an early warning signal is sent out. The network operation state can be monitored and quantitatively evaluated, abnormity can be timely found, early warning is performed, and stable operation of the electric power communication network is effectively guaranteed.

The invention provides a self-adaptive interference suppression method and system for a multi-band signal. The method comprises the following steps: acquiring a multi-band original signal set comprising a plurality of band continuous signal units; then, an adaptive interference modeling model is called to carry out interference mode characterization processing, and an interference signal characterization result is generated; dynamically configuring an interference suppression parameter set in one-to-one correspondence with each frequency band signal interference mode based on an interference signal characterization result; performing adaptive interference suppression processing on the multi-band original signal set by using the interference suppression parameter set to obtain a preliminary suppression signal set; and finally, feeding back the initial suppression signal set to the adaptive interference modeling model for iterative optimization processing to generate a final interference suppression signal set. According to the invention, accurate analysis and adaptive suppression of multi-band signal interference are realized, the stability and reliability of signal transmission are improved, and the complexity and cost of the system are reduced.

The invention discloses a machine tool predictive maintenance method based on multi-measuring-point vibration sensing monitoring, and the method comprises the following steps: S1, determining a key measuring point, installing a vibration sensor, collecting a vibration signal, and carrying out the preprocessing of the vibration signal; s2, vibration signals are classified, continuous signals are subjected to spectral analysis, and discontinuous signals are extracted and spliced through sliding window extremum search; s3, performing frequency domain analysis and fast Fourier transform on the continuous signal sequence to extract frequency characteristics, and comparing the frequency spectrum characteristics of the measuring points and the time periods; s4, calculating the characteristic value of the vibration signal, fusing the characteristics by adopting an improved spatial pyramid pooling, and constructing a radar map; and S5, performing predictive maintenance based on the frequency domain features and the radar map feature values, and triggering early warning and executing maintenance inspection when abnormity occurs. The machine tool health monitoring precision is improved, precise predictive maintenance is achieved, sudden failures are reduced, the production efficiency is improved, and the service life of equipment is prolonged.

The invention belongs to the technical field of signal and information processing, relates to a modal time delay compensation continuous sound signal target depth estimation method based on a linear array, and is suitable for sonar signal processing. According to the method, on the basis of F-K transformation, through fitting of a sound velocity profile, compensation of modal time delay of each order of each array element, separation of modal of each order in an array receiving signal and a frequency-wavenumber domain, and design of a theoretical curve binary mask filter, modal energy of each order is extracted to be matched with a search depth; and depth estimation of a continuous sound signal target under a general sound velocity profile condition is realized. According to the invention, the depth estimation of a continuous sound signal target is realized, and the problems that a vertical array is difficult to maintain in engineering practice, modal aliasing exists in a continuous signal time-frequency domain by a single hydrophone, and the depth estimation precision error of a depth estimation method under a general sound velocity profile condition is large are solved.

The utility model belongs to the technical field of intelligent watches, and discloses a healthy intelligent watch capable of monitoring blood pressure in real time, which comprises an intelligent watch main body, a display screen is arranged on the upper surface of the intelligent watch main body, and the left side and the right side of the intelligent watch main body are respectively connected with a connecting block and an optical sensor in a buckled mode. The optical sensor is fixedly installed on the lower surface of the intelligent watch main body, and the optical sensor is in signal connection with the intelligent watch main body. Continuous signal collection is performed on the skin of a user through an optical sensor on the lower wall of the watch in a certain time period, and signal processing is performed on continuous images in a certain time period, so that the light absorption change of the skin at the time point is obtained, and the flow velocity change of arterial blood is obtained through the light absorption change of the skin. And the change value of the blood pressure is calculated through the fluid model, so that the real-time monitoring of the blood pressure of the user is realized.

The invention provides an implementation method and system for a time-varying multi-tone interference resistant system, and the method comprises the steps: S1, enabling a receiving end to collect a continuous signal, and carrying out the preprocessing of the continuous signal, and obtaining a preprocessing result; s2, determining the number of multi-tone interference in the preprocessed signal by using a time-varying multi-tone interference detection algorithm; s3, applying a 1 / 2 overlapping window method to an AM algorithm, and removing the existing maximum single-tone interference; and S4, repeating the step S3 until the number of cycles reaches the number of multi-tone interferences, and obtaining a signal from which the multi-tone interferences are removed. The method can be realized on the basis of an AM single-tone interference elimination algorithm, the interference signals are restored and removed by estimating the interference parameters, interference resistance can be realized on the basis of not losing useful signal energy, and the interference elimination capability is relatively high.

The invention discloses an MEMS vibration sensor resonant frequency self-checking method, system and device, and the method comprises the following steps: employing time domain continuous signal excitation as a response input signal, and collecting a dynamic response signal of an MEMS vibration sensor; establishing a dynamic response mathematical model of the MEMS vibration sensor; the collected dynamic response signals serve as identification data, and resonant frequency parameters in the dynamic response mathematical model are subjected to high-precision identification through a BP neural network optimized through an improved particle swarm optimization algorithm; and calculating the mechanical sensitivity of the MEMS vibration sensor based on the identification result of the resonant frequency parameter. The invention relates to the technical field of MEMS vibration sensor dynamic model parameter identification, and can effectively improve the identification precision of the resonant frequency of an MEMS vibration sensor.

The invention discloses a control method and device for the water outlet flow of a water pump of a scrubber. The method comprises the steps that the expected value of the current water outlet flow of the water pump is obtained; a discontinuous PWM signal is obtained according to the expected value of the current water outlet flow of the water pump, each period of the discontinuous PWM signal comprises n pulse signals with the period being T1 and the duty ratio being D and a low-level signal with the duration being T2, and n is a natural number not smaller than 1; the discontinuous PWM signals serve as driving signals of the water pump to drive the water pump, and the water outlet flow of the water pump meets the expected value. According to the control method and device for the water outlet flow of the water pump of the scrubber, the discontinuous PWM signal is used as the driving signal of the water pump, no hardware needs to be additionally arranged in the scrubber, and accurate control over the small water outlet flow of the water pump in any working scene can be met; the performance of the scrubber is improved without increasing hardware cost, so that the working process of the scrubber is more environment-friendly and energy-saving.

The invention relates to the technical field of artificial intelligence and intelligent medical treatment, and discloses a health care information service system based on deep learning and a knowledge graph, and the system uses implicit physiological semantic prototype nodes to establish a mapping access point of a continuous signal and a discrete graph, and generates a dynamic causal graph based on real-time physiological features. The causal deduction module predicts an intervention result on the dynamic map, and the signal reconstruction verification module performs reverse physical signal reconstruction on a map reasoning path and calculates an effectiveness score based on biophysical constraints. And the decision output module fuses the potential result predicted value and the validity score to generate an intervention suggestion. According to the method, deep fusion of time sequence data and symbol knowledge is realized, and physiological safety and interpretability of dynamic health maintenance decision are ensured through a bidirectional verification mechanism of a logic space and a physical signal space.

Device and method for measuring a junction temperature of a power semiconductor (3) using the resistance Rgint (32) of said semiconductor (3) comprising at least: a current injector circuit (5) injecting current pulses Iinj in the gate path of said power semiconductor (3) through the emitter of said power semiconductor, said current injector circuit (5) being driven by a digital injection control circuit (4, 6) to synchronize said current pulses within a stabilized part of ON states of the power semiconductor driver (1) PWM signal driving said power semiconductor (3), a peak detector circuit (7) to record emitter voltage peaks Ve at the terminals of the current injector circuit and generate a continuous signal Vpks dependent of the junction temperature Tj through integration of said voltage peaks, a signal conditioning circuit (8) to adapt the continuous signal Vpks dependent of the junction temperature into a range of 3V to 5V of a measurement system (9).

The invention provides a random calculation digital filter and a configuration method thereof. The random calculation digital filter comprises a random source generation unit, a channel number generation unit, a convolution core unit and a reconstruction unit, according to the invention, the problems of large power consumption delay and high circuit hardware cost of a traditional random calculation digital filter design coding continuous signal are solved. By introducing dynamic coding, high-precision coding of continuous signals is realized, and circuit power consumption and operation period are reduced; according to the continuous signal random calculation digital filter, the hardware cost is reduced by inserting the D trigger, and the calculation accuracy of the circuit is improved by applying bit signal selection, rearrangement and inverse signal selection, so that the continuous signal random calculation digital filter with high accuracy and low cost is realized.

The invention discloses a continuous signal transmission-based communication and sensing integrated staggered transceiving joint design method, which is used for suppressing interference caused by a continuous transmission system and innovatively constructing a signal block structure with alternating communication single function and communication and sensing integrated double functions. The method is based on an interlaced signal structure, on one hand, constructive interference is used for improving communication performance; and on the other hand, the integral main and side lobe ratio and in-block and inter-block interference are optimized to ensure the radar sensing performance. According to the method, a joint optimization model designed for a perception receiving filter and an ISAC transmitted waveform is constructed, the model is solved through an alternative optimization framework and an SCA algorithm, and collaborative optimization of communication performance and perception performance is achieved. The method can effectively solve the problems that radar echoes are seriously interfered by adjacent symbol blocks and the communication performance is limited in a communication and inductance integrated scene of continuous signal transmission, and is suitable for a communication and inductance integrated system to improve the target detection precision and the communication reliability in a continuous signal emission system.

The invention discloses an aging gait detection method and system based on a millimeter wave radar, and the method comprises the following steps: S10: employing the millimeter wave radar to collect the data of the activities of a human body going up and down stairs; s20, performing Fourier transform on the activity data after sampling to obtain signal frequency spectrum and target distance information; wherein the continuous Chirp signals of which the intervals are fixed values are stored as row vectors, and receiving frequency responses of targets at different distances can be obtained by performing 1D-FFT on each row; performing fast Fourier transform on a plurality of Chirp signals of the same distance unit to obtain target speed information, namely a time-Doppler graph; and S30, constructing a YOLOv11 model, constructing a data set by the time-Doppler maps, carrying out classification training by using the YOLOv11 model, carrying out batch classification prediction on the new time-Doppler maps, and finally outputting the prediction accuracy.

Systems, methods, and means for autonomous operation of a surgical device within a pre-defined boundary are described herein. Discrete signals associated with clamp control (e.g., closure of a clamp jaw) may be received by the surgical device. The discrete signals may be triggered by a medical professional or may be activated autonomously. In response to the discrete signals, the surgical device may generate a continuous signal based on an algorithm to cause a continuous application of force or the deployment of an action. The surgical device may determine a safety adjustment associated with the operation of the surgical device based at least on a measurement associated with one of tissue, inrush current, or the distance between a smart energy device and a smart grasper.

The invention discloses a multi-channel phase stability testing device based on a high-bandwidth oscilloscope, and aims to solve the problem that the requirement of pulse type output of quantum bit measurement and control signals cannot be met due to the fact that coherent measurement is carried out on continuous signals through a network analyzer in an existing method. The phase synchronization performance measurement among multi-channel superconducting quantum bit pulse type measurement and control signals is realized by adopting a reverse demodulo coherent calculation method.

An integrated circuit (IC) employs error codes based on fields of data for protecting data transferred from a first circuit to a second circuit on the IC. Each bit of a generated error code is based on one or more fields of the data rather than on consecutive signal bits of a bus. Upon receiving the data in a second circuit, the error code is employed to determine whether the data has been transferred without an error. In case of an error, a response circuit generates an error signal having an error type corresponding to the data fields in which errors are detected. In some examples, the transferred data comprises a transaction request and the error signal indicates whether 10 the transaction request has failed, the transaction request may be retried, or the transaction request may be completed despite the error.

The application discloses a kind of Φ-OTDR system coherence fading inhibition method and device based on spatial resolution internal redundant data, specifically: first, simulate random one-dimensional continuous signal and noise waveform, and carry out channel replication expansion, add different random noise to the waveform of each channel, obtain multi-channel signal and noise data set;Then set the structure, parameter, activation function, loss function and optimizer of time sequence neural network model, data set is sent into model and is trained;Then judge whether the model error meets the requirements, if it does not meet the requirements, adjust the structure, parameter, activation function, loss function and optimizer of model, retrain the model;If it meets the requirements, the actual data detected by Φ-OTDR system is processed and packed, and is sent into the trained model for prediction, to obtain the signal characteristics distributed along the whole optical fiber.The application has low complexity, reduces the influence of coherence fading noise on Φ-OTDR system, and improves the transmission ability of the system.

The invention discloses a timing synchronization method based on an FSK (Frequency Shift Keying) signal, and relates to the technical field of timing synchronization in wireless communication. The method comprises the following steps: firstly, converting a signal on a time domain to a frequency domain through sliding discrete Fourier transform to be analyzed and processed, then respectively calculating the power of a corresponding frequency spectrum position, respectively summing and subtracting a positive frequency point spectral line and a negative frequency point spectral line, then extracting the power difference of the positive frequency point spectral line and the negative frequency point spectral line, and calculating the power difference of the positive frequency point spectral line and the negative frequency point spectral line. The sampling rate after extraction is quadruple or eight times of sampling signals, finally, digital square timing is carried out on the sampling signals to extract timing errors, a symbol clock is generated according to the errors, the optimal sampling point is selected to recover data, and timing is completed. The method is suitable for FSK signals of different modulation orders, is suitable for an FDMA system for processing continuous signals, has a wide application range, and has the advantage of low complexity based on sliding FFT processing.