268 results about "Signal variation" patented technology

The invention provides an LED lamp adaptive speed regulation heat dissipation method and system based on real-time junction temperature monitoring. The method comprises the following steps: S100, acquiring a PWM signal or an analog signal of an LED driving command signal in real time; s200, on the basis of the change of the driving instruction signal, feedforward prediction is carried out by using a dynamic thermal inertia mapping model, and a feedforward fan control quantity is generated; s300, LED junction temperature is monitored in real time through a forward voltage method, and feedback fan control quantity is generated through a feedback controller according to the deviation between the real-time junction temperature and the target junction temperature; and S400, synthesizing the feedforward control quantity and the feedback control quantity to generate a fan PWM control signal, outputting the fan PWM control signal to a fan driving circuit, and adjusting the rotating speed of the cooling fan. According to the method, driving signals and junction temperature information are processed in parallel, and feedforward and feedback control is combined, so that self-adaptive accurate regulation and control are realized, thermal load change is quickly responded, system lag is effectively inhibited, and LED heat dissipation performance is optimized.

The invention discloses a distribution box operation state monitoring method and system, and relates to the field of distribution boxes, and the system comprises an acquisition module which is used for collecting current and voltage signals of each loop in a distribution box, surface temperature distribution of a box body and opening and closing state signals of a cabinet door, and converting the collected analog signals into a digital signal sequence; the extraction module is used for receiving the digital signal sequence and extracting a signal fluctuation feature, a temperature field distribution feature and a state signal change feature to generate a three-dimensional feature set; the system can obtain loop electrical parameters, box body temperature and cabinet door state in real time, accurately analyze operation characteristics to deduce state trend, quickly position defective loop components and influence range in case of abnormity, scientifically evaluate health level, timely give an early warning, synchronously disconnect power supply of associated equipment in case of severity, effectively reduce fault shutdown, and improve work efficiency. The power utilization safety and the maintenance efficiency are improved, and stable operation of the distribution box is guaranteed.

The invention provides an electric blanket heating wire state judgment method and system, a medium and a product, and relates to the technical field of safety monitoring. In the method, a control processing unit firstly samples at a first preset frequency and calculates a signal change rate; and when the signal change rate value exceeds the standard rate threshold value, the control processing unit judges that the electric blanket is in a suspected heat accumulation state, and at the moment, the output power of the heating wire is controlled to be reduced to a preset duty ratio. Then, the control processing unit adopts a second preset frequency to collect signals and filter the signals, extracts signal values at the first moment and the second moment, and calculates the characteristic value of the thermal attenuation trend; and finally, the control processing unit realizes the distinguishing between the local wire twisting state and the folding state based on the deviation degree of the characteristic value and the standard thermal attenuation characteristic value. According to the method, the technical problem that the high-temperature cause cannot be distinguished only through the instantaneous temperature is relieved, and accurate recognition of the twisted wire fault and the folding working condition is achieved.

The invention discloses a laser intelligent management system of a laser particle analyzer, particularly relates to the technical field of laser control, and is used for solving the problem that pollution monitoring is not accurate due to intermittent work of a laser when an existing laser particle analyzer is in an energy-saving mode. By synchronously acquiring a laser working state signal and a background scattered light signal of an optical window, whether the laser is in an initial stage awakened from a low-power-consumption state is judged, and a nonlinear response stage dominated by pollutant state change in the background scattered light signal is identified; analyzing the symmetry of the signal change track at the stage to generate a symmetry breaking index, and synchronously executing Granger causal relationship test on the driving current and background scattered light signal time sequence data to obtain a causal relationship index; and distinguishing signal abnormal sources based on a symmetry breaking index and a causal relationship index so as to evaluate the current pollution level of the optical window, adaptively adjusting pollution monitoring parameters and controlling the working mode of a laser.

According to the infrared combustible gas sensor and the method thereof, firstly, original voltage signals of a measurement channel and a reference channel and original signals of a temperature sensor are subjected to digital filtering, basic concentration is calculated based on the voltage of the measurement channel and the voltage of the reference channel after filtering, and dynamic impact detection is carried out; obtaining a reference channel signal change rate; furthermore, a self-adaptive dynamic compensation gain is introduced, the gain is dynamically adjusted according to the reference channel signal change rate and the filtered reference channel voltage, and the basic concentration is comprehensively compensated by combining the filtered temperature, so that unbalance caused by thermal shock in the photoelectric system is reflected more directly and more quickly. Therefore, the measurement precision and the data reliability of the infrared combustible gas sensor in a complex and changeable environment can be remarkably improved, and more accurate and more robust effects of compensation can be realized under different working conditions.

The invention discloses a dynamic switching method based on a double-link converged communication system and related equipment, and relates to the technical field of wireless communication. The method is applied to the terminal equipment comprising a first communication module and a second communication module. The method comprises the following steps: calculating a first link quality evaluation value in real time, and obtaining a quality trend characteristic value representing a signal change direction in combination with historical data; based on the first link quality evaluation value, the quality trend characteristic value and the second link availability evaluation value, intelligently switching working modes: executing a first working mode (single link low power consumption) when the link is stable; executing a second working mode (double-link parallel transmission) when the link is deteriorated or a big data demand exists; and executing a third working mode (second module independent transmission) when the link fails. According to the method and the device, the problems of frequent fluctuation and low transmission efficiency caused by single threshold switching in related technologies are solved, and dynamic balance of communication reliability, rate and power consumption in a complex environment is realized.

The invention discloses a battery mechanical damage monitoring method and system in the transportation process of an electric vehicle based on acoustic emission spectrum analysis, and the method comprises the steps: carrying out the multi-scale decomposition of an original signal sequence through wavelet transform, separating out a high-frequency transient component and low-frequency background noise, and obtaining a denoised elastic wave signal; calculating time domain features including peak amplitude and duration according to the denoised elastic wave signal, and combining frequency domain features such as a main frequency component to obtain a comprehensive feature vector; if the peak amplitude of the comprehensive feature vector exceeds a preset threshold value, judging that the event is a potential damage event, and extracting a damage related subset from the feature vector to obtain a damage candidate feature; training the damage candidate features through a support vector machine classifier to obtain damage type labels; and aiming at the damage type label fusion transportation environment data, a sliding window is adopted to analyze and track the signal change trend, and the damage evolution degree is determined. According to the invention, accurate identification, classification and dynamic monitoring of transportation damage of the battery pack are realized.

The invention relates to the technical field of ultrasonic flowmeter calibration, and discloses an ultrasonic flowmeter calibration system and method based on a time difference method. According to the method, original signal data output by the ultrasonic flowmeter at a starting time point and an ending time point are collected, and meanwhile the time interval between the two time points is calculated. Then, the original signal data at the starting time point and the ending time point are preprocessed, and a more accurate starting preprocessing signal and a more accurate ending preprocessing signal are obtained; signal features are extracted from the preprocessed signals, a starting signal feature set and a terminating signal feature set are formed, and feature difference measures between the starting signal feature set and the terminating signal feature set are calculated; the characteristic difference measure is divided by the time interval to obtain the signal change rate. The signal change rate is compared with a preset threshold value, and calibration parameters of the ultrasonic flowmeter are adjusted according to the comparison result. According to the method, the working state of the ultrasonic flowmeter can be deeply analyzed from the signal feature level, and compared with a traditional calibration method, the calibration precision is effectively improved.

The invention provides a segmented adaptive SG filtering method and device based on cosine weight transition. The method comprises the following steps: obtaining a noisy fault signal of a power distribution network; extracting local feature indexes of the signals, wherein the local feature indexes comprise an average gradient representing the change frequency of the signals and a composite feature index representing the noise level; dynamically determining a window length and a polynomial order of SG filtering based on the local feature indexes; the transient stage is the first 1 / 2 period of the post-fault signal, the steady-state stage is the subsequent part of the post-fault signal, an overlapping region is arranged at the junction of the transient stage and the steady-state stage, the overlapping region is a 1 / 2 period following the transient stage, and a cosine weight function is adopted to perform weighted fusion on filtering results of the two stages in the overlapping region; and splicing the filtering results of the non-overlapping region and the overlapping region of the transient stage and the non-overlapping region of the steady stage, and outputting a filtered fault feature signal.

The invention discloses an ear electroencephalogram acquisition sleep monitoring device based on conductive leather and a personalized audio intervention method of the ear electroencephalogram acquisition sleep monitoring device, and aims to solve the problems that existing sleep assisting equipment is poor in wearing comfort and inaccurate in monitoring, and an intervention scheme is lack of personalization. The device comprises preparation of a conductive leather electrode and integration of the conductive leather electrode, an earplug, a loudspeaker and other devices. According to the conductive leather electrode, a conductive polymer (such as poly (3, 4-ethylenedioxythiophene) and a derivative thereof) is combined with natural leather through an in-situ polymerization method to form a flexible electrode material with high biocompatibility. The electrode is combined with an earplug, a loudspeaker and other devices and can be stably attached to the ear canal, and high-signal-to-noise-ratio sleep physiological electric signal (such as myoelectricity, electroencephalogram or electrocardiosignals) collection is achieved. The sleep stage is identified through machine learning, and the loudspeaker module is controlled to play different types of sleep-aiding audios. The core lies in that the device can synchronously evaluate sleep physiological signal changes of a user under different audio stimulation, so that personalized sleep-aiding audios which are most effective for the individual are screened out, and an exclusive scheme library is established. The system has the advantages of being comfortable to wear, high in signal quality, wide in applicability and the like, and can be widely applied to the fields of health monitoring, human-computer interaction, medical diagnosis and the like.

This invention relates to a signal transmission control method for a mobile phone back clip with infrared transmission function, belonging to the field of data transmission technology. The method analyzes the infrared signal sequences received by each receiving node of the infrared receiving array on the mobile phone back clip during a preset time period. Based on the signal fluctuation degree and rarity of each sampling point in each sequence, the suspected anomaly degree of each sampling point is determined. Then, based on the suspected anomaly degree, suspected anomalous sampling points are screened from all sampling points of all infrared signal sequences. Subsequently, by analyzing the spatial and temporal distribution characteristics of each suspected anomalous sampling point during the preset time period, the method distinguishes between normal signal changes and interference-induced changes during the preset time period and quantifies the interference degree. The quantified interference degree guides the subsequent signal transmission intensity of the transmitting end, ensuring the stability of infrared signal transmission while avoiding power waste at the transmitting end, thus improving the signal transmission and reception performance of the mobile phone back clip with infrared transmission function.

A transmitter is provided that determines a compression of an envelope-tracking amplifier using a function of the amplifier's power supply voltage, input signal voltage, and output signal voltage. An input signal adjustment circuit adjusts the input signal to the envelope-tracking amplifier responsive to a difference between the compression and a desired fixed value for the compression.

The embodiment of the invention discloses an airport pipeline safety monitoring method based on an airport underground three-dimensional pipeline model. A specific embodiment of the method comprises the steps of obtaining a multi-source equipment sensing data set for an airport underground pipeline, and synchronizing the multi-source equipment sensing data set to an airport underground three-dimensional pipeline model to obtain a current three-dimensional pipeline model; performing signal change analysis on multi-source equipment sensing data in the multi-source equipment sensing data set to generate a signal analysis result set; according to the current three-dimensional pipeline model, calling a corresponding camera in the underground pipeline to shoot a pipeline scene video at a corresponding position; performing pipeline scene image recognition on each shot pipeline scene video to generate pipeline environment recognition information; and updating the historical pipeline environment record table to generate an underground pipeline safety monitoring record table. According to the embodiment, the safety monitoring accuracy of the underground pipeline of the airport is improved.

An output circuit 1 comprises: three P-type transistors (P1, P2, P3) connected in series between a first power supply and an output terminal (OUT); three N-type transistors (N1, N2, N3) connected in series between the output terminal (OUT) and a fourth power supply; and an N-type transistor (N4) and a P-type transistor (P4) connected in series between a second power supply and a third power supply. The output circuit (1) outputs an output signal (OUT) that changes in accordance with an input signal (IN).

The invention discloses a method for accelerating stabilization of a far-end row driving signal and an image sensor, and the method comprises the steps: directly detecting the far-end level of the row driving signal, and comparing the far-end level with a preset first preset threshold value; and when the change of the row driving signal exceeds a first preset threshold value, an auxiliary driving circuit connected to the pull-up voltage or the pull-down voltage at the far end is fed back and controlled to be started, so that the row driving signal at the far end is accelerated and stabilized to a target level. According to the scheme, limitation of a pixel structure or a row selection signal can be avoided, the row driving signal at the far end can be rapidly stabilized to the target level, the stabilizing time of row driving can be shortened, the reading speed can be increased, the situation that voltage difference is formed between the far-end signal and the near-end signal and influences reading of the far-end signal can be avoided, and the reading efficiency is improved. Therefore, a fixed pattern on the image is prevented from being formed.

The present disclosure proposes a power determination method, a communication device, a communication system, and a storage medium, the method comprising: receiving a first signaling sent by a network device, the first signaling being used for indicating an initial sending power of a downlink reference signal; receiving a second signaling sent by the network equipment, wherein the second signaling is used for indicating the power change value of the downlink reference signal and / or the changed sending power; and determining the transmission power after the downlink reference signal is changed based on the first signaling and / or the second signaling. According to the invention, the dynamic indication of the power can be realized, so that the terminal can be successfully notified of the adjusted sending power by adopting the method disclosed by the invention after the sending power of the downlink reference signals of different beams is dynamically adjusted in the NTN system.

The utility model discloses a programmable gate controller port function tester comprising a host which is provided with a cabinet and a panel. A host control circuit board and a direct-current programmable power supply are arranged in the case, and the case is provided with a power socket; the panel is provided with a power switch, a grounding pole, a liquid crystal touch screen, an input detection port, an output control port and a communication port. According to the utility model, the input port detection adopts optical coupler isolation detection and liquid crystal screen icon display state, so that the period of signal change can be detected, and the requirements of action delay measurement and association logic judgment are met; all detection data are recorded in real time, the process and the result can be automatically compared with preset programming parameters for judgment, the standardized detection process is achieved, and the detection efficiency is greatly improved.

The invention discloses a biological load kinetic analysis method for a sludge recycling filter material, and particularly relates to the field of environmental monitoring and sludge recycling treatment.The method comprises the steps that an original signal in the filter material is obtained through an intelligent sensing element arranged in the sludge recycling filter material; performing adaptive sampling and synchronous correction on the original signal to obtain a multi-source signal sequence; calculating a signal change rate based on the multi-source signal sequence, adjusting the sampling density according to the real-time fluctuation of the signal change rate, and outputting signal change rate data; according to the invention, a multi-source signal sequence is obtained through the intelligent sensing element arranged in the filter material, and a time sequence corresponding relation between internal energy transfer and external form response is established in combination with filter material surface image data collected by the visual detection device, so that inversion analysis of the internal dynamic process of the filter material is realized; the problem that in the prior art, a multi-source dynamic signal is misjudged as noise and does not form cooperative analysis with visual detection is solved.

The invention discloses a display module, an adjusting method and a display device, and relates to the technical field of display. The display module comprises a display panel, a chip-on-film, a printed circuit board and a test wire, the display panel comprises a display area and a fan-out area, one end of the chip-on-film is connected with the fan-out area of the display panel, the other end of the chip-on-film is connected with the printed circuit board, the printed circuit board is provided with a test point, and the test point is connected with the test wire. The test point location comprises an input end and an output end, the test wire is arranged on the fan-out area and the chip-on-film, and the test point location is used for detecting the signal change of the test wire; according to the display module, the signal change of the test wire is detected through the input end and the output end of the test point, and the driving control of the display module on the data line of the chip on film is adjusted according to the signal change, so that the difference between the chip on films is eliminated, and the split screen phenomenon of the display module is improved.

This invention discloses a method and system for monitoring mechanical damage to batteries during electric vehicle transportation based on acoustic emission spectrum analysis. The method includes: performing multi-scale decomposition of the original signal sequence using wavelet transform to separate high-frequency transient components and low-frequency background noise, obtaining a denoised elastic wave signal; calculating time-domain features, including peak amplitude and duration, based on the denoised elastic wave signal, and combining this with frequency-domain features such as the dominant frequency component to obtain a comprehensive feature vector; if the peak amplitude of the comprehensive feature vector exceeds a preset threshold, it is judged as a potential damage event, and damage-related subsets are extracted from the feature vector to obtain damage candidate features; training the damage candidate features using a support vector machine classifier to obtain damage type labels; and fusing transportation environment data with the damage type labels, using sliding window analysis to track signal change trends and determine the degree of damage evolution. This invention achieves accurate identification, classification, and dynamic monitoring of battery pack transportation damage.

The application discloses a kind of fNIRS motor imagination decoding methods based on double-flow cross attention and function connection fusion, obtain the fNIRS original signal of subject under motor imagination task, calculate HbO signal and HbR signal concentration variation sequence, respectively to HbO signal and HbR signal are first-order differential processing, generate the enhanced feature stream reflecting the change rate of HbO signal and HbR signal, and introduce residual connection;Double-flow feature encoder is constructed, and HbO signal depth feature map and HbR signal depth feature map are extracted using time convolution and depth space convolution respectively;Cross attention module is introduced, and the depth feature after double-flow dynamic complementary fusion is obtained;For each signal sample obtained, calculate the pearson correlation coefficient matrix between all acquisition channels, and flatten it into a global brain network connection vector matrix;The depth feature after double-flow dynamic complementary fusion is spliced with the global brain network connection vector matrix, and the category result of motor imagination is output through fully connected classifier.

This invention discloses a method for analyzing the bioload kinetics of sludge resource utilization filter media, specifically relating to the fields of environmental monitoring and sludge resource utilization treatment. The method includes acquiring raw signals from within the filter media using intelligent sensing elements deployed inside, performing adaptive sampling and synchronous correction on the raw signals to obtain a multi-source signal sequence, calculating the signal change rate based on the multi-source signal sequence, adjusting the sampling density according to real-time fluctuations in the signal change rate, and outputting the signal change rate data. This invention acquires multi-source signal sequences using intelligent sensing elements deployed inside the filter media and combines this with surface image data of the filter media collected by a visual inspection device to establish a temporal correspondence between internal energy transfer and external morphological response, achieving inverse analysis of the internal dynamic processes of the filter media. This addresses the problem in existing technologies where multi-source dynamic signals are misjudged as noise and fail to form a collaborative analysis with visual inspection.

The invention provides a code channel and an eddy current encoder, the code channel comprises a main body, the front surface of the main body is provided with a continuous window formed by single windows in an array along a preset length direction, the single windows are of hollow structures, and the span of the single windows in the preset length direction is as follows; through the shape design of a continuous window structure on a code channel, the window structure is improved into a structure with a continuously changed sectional area, so that when a magnet exciting coil moves on the surface of the code channel, the strength of an eddy current generated by a high-frequency magnetic field of the magnet exciting coil on the surface of the code channel is gradually changed; therefore, the change of the signal received by the receiving coil is more regular, and the position measurement precision of the eddy current encoder is improved.

The invention provides a closed-loop electrical stimulation device for regulating and controlling a facial spasm function. The closed-loop electrical stimulation device comprises wearable equipment and a signal processing unit, the wearable device is used for collecting physiological signals / physiological signals and video signals of the face of a wearer, transmitting the physiological signals / physiological signals and video signals to the signal processing unit and making a response according to an output regulation and control instruction. And the signal processing unit is configured to generate a regulation and control instruction before or during the attack of the facial spasm according to the received signal, perform feedback evaluation on the electrical stimulation effect according to the received signal change before and after the electrical stimulation, and correct the subsequent regulation and control instruction according to the feedback evaluation. A sensing-recognition-evaluation-control-feedback closed-loop system is constructed, and the system has the characteristics of real-time monitoring, individualized adjustment, wearable integration and the like, has the advantages of compact structure, accurate control and high use comfort, and can be used for functional regulation and rehabilitation assistance of facial spasm.

The present application belongs to the field of analog integrated circuit, and particularly relates to an RC oscillator without starting circuit. The present application uses Schmitt trigger as the comparator in the RC oscillator, and uses the hysteresis effect and positive feedback characteristics of the Schmitt trigger to reduce the influence of kickback noise. Meanwhile, a reset port is added to the Schmitt trigger, so that the working state of the input end of the RS flip-flop is simultaneously low when the circuit starts; and the two output signals of the RS flip-flop are respectively applied to the reset ends of the two Schmitt triggers through the delay control module, so that the reset signal of the Schmitt trigger cannot control the output result in advance before the input signal changes, and the timing error is avoided. The present application effectively solves the problems of the existing RC oscillator, such as the need of starting circuit and high noise.

Provided are a method for switching a stimulation scheme and a related product. The method comprises: in a sensing phase, determining, on the basis of an acquired bioelectric signal, a plurality of energy features of the bioelectric signal, wherein the energy features comprise an energy value or an energy proportion; comparing the plurality of energy features with one or more energy thresholds, wherein the one or more energy thresholds are used for defining a plurality of energy intervals; and determining, on the basis of energy intervals to which the plurality of energy features belong, whether to switch the stimulation scheme. The method can effectively avoid misjudgments caused by transient signal changes, so that the switching of the stimulation scheme is more accurate.

This disclosure presents an embodiment of an airport pipeline safety monitoring method based on an airport underground 3D pipeline model. One specific implementation of this method includes: acquiring a multi-source device sensing dataset for airport underground pipelines; synchronizing the multi-source device sensing dataset to the airport underground 3D pipeline model to obtain a current 3D pipeline model; performing signal change analysis on the multi-source device sensing data in the multi-source device sensing dataset to generate a signal analysis result set; based on the current 3D pipeline model, calling the corresponding cameras in the underground pipelines to capture pipeline scene videos at corresponding locations; performing pipeline scene image recognition on each captured pipeline scene video to generate pipeline environment identification information; and updating the historical pipeline environment record table to generate an underground pipeline safety monitoring record table. This implementation improves the accuracy of airport underground pipeline safety monitoring.

The application discloses a kind of based on V B ‑ The quantum gas pressure sensor of color center includes gas pressure cavity, quartz plate with sample substrate, confocal scanning imaging mechanism and microwave detection mechanism with time sequence card, after being connected with the whole device of gas pressure sensor by gas pipe, measured V B ‑ The ODMR signal change of spin color center is obtained corresponding to the gas pressure intensity.The application also provides a use method.The sensor provided by the application utilizes the advantage of phonon-assisted enhancement when hexagonal boron nitride is suspended, has multiple times of photoluminescence enhancement compared with other regions, and can realize gas pressure sensing response with micron-level spatial resolution.

A method for controlling a technical process. The functionality of a control program is determined by states, input signals, and output signals via an operating interface and subsequently converted, by a computer, into an executable program code. An input table describes the functionality of the control program. Each state and input signal of the technical process is assigned a line / column of the input table by defining, in each cell of the input table, signal change waiting for transition to next state, or monitored for error detection, or random. In every defined state, input signals defined in the input table are either continuously monitored with regard to a signal change or an error condition, or randomly set and consequently not monitored by the program code. During creation of the program code, a check table provides all bit combinations of input signals information on which meaning or processing bit combinations were assigned.

This invention discloses a method, device, and storage medium for early warning of thermal runaway in energy storage systems, relating to the field of energy storage system monitoring technology. The method first employs a scheme where the control input signal changes over time within a preset signal range according to a preset signal variation rule, obtaining output signals corresponding to different input signals, thus acquiring richer parameter information. Subsequently, by constructing an output signal sequence, the aforementioned rich parameter information is simulated as image information, facilitating data analysis and processing. Finally, based on Hough transform processing of the output signal sequence, the characteristic structure in the parameter information can be efficiently and accurately identified. Based on this characteristic structure, the probability of thermal runaway is analyzed, thereby improving the accuracy of early warning of thermal runaway in energy storage systems.