7235 results about "Data signal" patented technology

A BIM-based engineering information management system of the present invention relates to the field of constructional engineering informatization management, and comprises a data processing module, a model construction module, a block chain evidence storage module, a verification module, a data fusion module and an authority management module. The data processing module receives original engineering data and generates a structured data signal. And the model construction module generates a BIM model according to the structured data signal. And the block chain evidence storage module encrypts and stores the metadata signal, generates an evidence storage completion signal and feeds back the evidence storage completion signal to the model construction module. And the verification module analyzes the dynamic operation log signal, and generates a risk early warning signal and a repair suggestion signal when abnormality is detected. And the data fusion module generates a fusion data signal, transmits the fusion data signal to the model construction module and triggers BIM model updating. And the authority management module adjusts the user authority according to the risk early warning signal. According to the invention, the problems of data islands, safety risks, low cooperation efficiency and insufficient intelligence in engineering information management can be solved.

The invention provides a power plant heat tracing system intelligent optimization method based on environment temperature fluctuation, and relates to the technical field of temperature control of a power plant heat tracing system, and the method comprises the following steps: S1, data collection and preprocessing: deploying a sensor array, collecting an operation data signal # imgabs0 # of a power plant heat tracing pipeline, carrying out the preprocessing of the operation data signal # imgabs1 #, and storing the preprocessed operation data signal # imgabs0 #; outputting a standardized feature vector; s2, model establishment and parameter optimization: constructing a physical-data dual-drive heat transfer model, and inputting standardized feature vector optimization initial parameters; compared with the prior art, the method has the following beneficial effects: firstly, control parameters can be automatically adjusted according to factors such as thermal load change, external environment temperature fluctuation and equipment aging; and secondly, the temperature trend in the future short time can be predicted by constructing a heat transfer dynamic model, the control strategy is adjusted in advance, the temperature is prevented from being out of control, heat dissipation can be increased in advance or heat source input can be adjusted in advance, and safe and efficient operation of the system is effectively guaranteed.

The invention provides an earth surface anomaly monitoring data fusion system based on vibration signal processing, and relates to the technical field of earthquake precursor monitoring, and the system comprises a data collection module which is used for carrying out the real-time monitoring of the earth surface through a distributed multi-parameter sensor network, and obtaining the time sequence monitoring data related to the earthquake precursor; the signal processing module is used for processing the time sequence monitoring data by adopting a two-parameter joint optimization algorithm and outputting a separation signal component containing precursor information; the data fusion and state inversion module is used for carrying out fusion processing on the separated signal components by adopting a dual-time scale analysis framework and outputting a multi-scale precursor state estimation result and an uncertainty quantitative index; and the monitoring and early warning module is used for outputting earthquake precursor grading early warning information through a three-layer anomaly recognition architecture and probabilistic risk assessment. According to the invention, high-precision separation and identification of earthquake precursor related signals can be realized, and the false alarm phenomenon is reduced through an intelligent early warning mechanism.

The invention discloses a geotechnical engineering intelligent investigation system and method based on big data. The system comprises a field sensing module, a multi-source fusion module, an intelligent analysis module, a modeling early warning module and a report generation module. The field sensing module collects drilling parameters, in-situ test data and geological images in real time; the multi-source fusion module receives an original investigation signal and accesses a historical engineering investigation database and a regional geology database; the intelligent analysis module receives the fused data signal, constructs a knowledge graph containing a rock-soil entity relationship, predicts rock-soil parameters and stratum distribution of an unexplored area based on a machine learning model, and generates a parameter prediction signal; the modeling early warning module receives the parameter prediction signal; and the report generation module receives the parameter prediction signal and the risk early warning signal. The geotechnical engineering intelligent investigation system and method based on big data can solve the problems of discrete investigation data, strong experience dependence and low intelligent degree.

The invention relates to the field of data signal processing, in particular to a network algorithm cable terminal discharge early warning method, device and system based on dual-channel waveform identification. The method comprises the following steps of: firstly, acquiring a periodic ultrasonic signal and an ultrahigh frequency electromagnetic field signal generated by discharging of a cable terminal, converting the two signals into a corresponding time-frequency diagram by utilizing short-time Fourier transform, and performing normalization processing to serve as input of a subsequent network; a dual-channel high-order feature extraction network formed by cascading a ConvNeXt backbone network and a convolution block attention module is constructed, and is used for extracting time-frequency diagram detail fault features of ultrasonic signals and high-frequency electromagnetic field signals. And finally, by constructing an adaptive feature fusion network, fusing the fault features of the two channels, and obtaining cross-channel fault joint features by using an adaptive weight coefficient vector, thereby outputting a diagnosis result, and realizing accurate evaluation of a defect state of an adjacent cable terminal.

Disclosed are a display substrate and a preparation method therefor, and a display apparatus. The display substrate includes a plurality of first circuit regions and a plurality of second circuit regions alternately disposed along a second direction, a first circuit region includes a plurality of repeat units (RU) and a plurality of blank units (KB) alternately disposed along a first direction, a repeat unit (RU) includes a plurality of circuit units (Q), a circuit unit (Q) includes a pixel drive circuit and a data signal line (DataI) connected with the pixel drive circuit, a second circuit region includes at least one gate unit (G), the gate unit includes at least one gate drive circuit, and an orthographic projection of the gate drive circuit on a plane of the display substrate is not overlapped with an orthographic projection of the data signal line (DataI) on the plane of the display substrate.

The invention discloses an unmanned aerial vehicle antenna dynamic adjustment method and device under single Beidou support, and relates to the technical field of antenna control, and the method comprises the steps: carrying out the positioning of a target unmanned aerial vehicle, and obtaining a spatial positioning data signal; transmitting and receiving signals to obtain a signal transmitting and receiving record log; analyzing the flight area of the target unmanned aerial vehicle to obtain terrain environment parameters, performing flight analysis, and generating flight attitude change information; performing operation calculation on an antenna module of the target unmanned aerial vehicle, generating an antenna dynamic operation coefficient, and formulating an antenna adjustment strategy; and performing optimization, generating an antenna adjustment optimization strategy, and performing dynamic adjustment. The technical problem of poor communication and positioning accuracy and stability caused by insufficient antenna adjustment precision of the unmanned aerial vehicle in a complex environment in the prior art is solved, and the technical effects of realizing accurate tracking of the antenna of the unmanned aerial vehicle on the target signal source in the complex environment and improving the accuracy and stability of communication and positioning of the unmanned aerial vehicle are achieved.

The invention belongs to the technical field of display driving, and particularly relates to a display panel, a display driving method and a display device.The display panel comprises N rows of scanning lines, M columns of data lines and 2N rows * 2M columns of pixel circuits; each pixel circuit comprises a pixel unit and a control unit, and when the nth row of scanning line outputs a first scanning signal, a data signal on the mth row of data line controls any one of the control units in the (2m-1) th row and the (2n-1) th row and the control units in the (2m) th row and the (2n-1) th row to be switched on or switched on alternately in a time-sharing manner; when the nth scanning line outputs a second scanning signal, the data signal on the mth data line controls any one of the (2m-1) th and 2nth control units and the 2m and 2nth control units to be switched on or switched on alternately in a time-sharing manner; according to the display panel, the number of the scanning lines and the number of the data lines are reduced by at least half under the display condition of the same resolution, the power consumption and the cost of the panel are reduced, and the refresh rate and the aperture opening rate are improved.

A voltage mode driver circuit has a first driver slice has a pullup structure that includes a first transistor and a second transistor and a pulldown structure that includes a third transistor and a fourth transistor. The first transistor has a gate that receives a first version of a first data signal. The second transistor has a gate that receives a first version of a second data signal. The third transistor has a gate that receives a second, complementary version of the first data signal. The fourth transistor has a gate that receives a second, complementary version of the second data signal. The first data signal encodes data in a first mode and enables the pullup and pulldown structures in a second mode of operation. The second data signal encodes data in the second mode of operation and enables the pullup and pulldown structures in the first mode of operation.

The main object of the invention is an antenna module for an acoustic point defence system (SAD) and an acoustic system comprising said module. The antenna module comprises at least one array of electroacoustic transmitting transducers (TX) and at least one array of electroacoustic receiving transducers (RX). The arrays of transmitting transducers and the arrays receiving transducers have the characteristic of being housed in a watertight container adapted to be submerged in water when the module is in operation, for example by means of a hoist or winch device (SMMR - Launching and Recovery System). The container has watertight accesses, for example via watertight connectors, for at least one cable for a power supply signal, connected or connectable with a power supply unit external to the container, and for at least one cable for a data signal, connected or connectable to a remote control unit adapted to send commands and receive target detection states and / or signals. The antenna module comprises a local control and calculation unit housed inside the container, which local control and calculation unit is equipped with an input for the power supply signal and a port for the data signal, and is interfaced with the arrays of transducers for controlling the signal transmitted by the arrays of transmitting transducers and processing the signals received by the arrays of receiving transducers on the basis of commands received by the data port.

The invention discloses a tangential eddy current-based pipeline welding seam array type detection device and method. The device comprises a detection probe module, a signal excitation and acquisition module and a signal processing module, the detection probe module comprises a flexible probe unit, the flexible probe unit comprises a plurality of tangential eddy current probes, each tangential eddy current probe comprises an excitation coil and two detection coils, and the excitation coils and the detection coils are coaxially and orthogonally distributed; the axis of the tangential eddy current probe and the surface of the weld form an included angle of 0-20 degrees, the excitation magnetic field is tangentially distributed along the weld, and the eddy current field is perpendicular to the weld and penetrates through the inside. The method comprises the following steps: A, detecting by using the detection probe module; b, a signal excitation and acquisition module acquires and records original data in real time; and C, the signal processing module processes, analyzes, identifies and positions defects according to the original data. Through tangential eddy current excitation and multi-channel signal fusion, the method has the advantages that interference of weld reinforcement on detection signals is eliminated, and the defect recognition capability is improved.

Methods and systems are disclosed for collecting EMG speech signals using a speech signal detection device. The methods and systems collect a combination of signals comprising electromyograph (EMG) data signals and one or more non-EMG data signals. The methods and systems process the combination of signals by a machine learning (ML) model to detect inner speech of the user, the ML model trained to establish a relationship between training signals comprising training EMG data signals and training non-EMG data signals and ground-truth inner speech data and, in response, performing one or more operations associated with the speech signal detection device.

The invention discloses a display panel and a driving method thereof, the display panel comprises a plurality of first switches and a plurality of second switches, N columns of pixels are arranged in a first display area, and M columns of pixels are arranged in a second display area; the first scanning line is connected with N columns of pixels in the first display area and M columns of pixels in the second display area, the second scanning line is connected with the N columns of pixels in the first display area, and each first switch is connected with two data lines corresponding to sub-pixels with the same color in the first display area and the second display area; each second switch is connected with a data driving chip and a data line corresponding to a pixel in the first display area; wherein N and M are natural numbers greater than or equal to 2. The two data lines corresponding to the sub-pixels with the same color in the first display area and the second display area respectively receive the same data signal or different data signals to realize display in different display modes by switching on or switching off the first switch and the second switch, so that insufficient charging under a high refresh rate is improved.

The invention discloses a sound acquisition and processing system based on cooperation of multiple microphone arrays. The system comprises a sound acquisition module, a multi-channel signal preprocessing module, a sound signal feature extraction module, an abnormal sound recognition module, a sound source positioning module and an alarm module. A multi-channel mixed data signal is collected through a circularly-arranged multi-microphone array formed by a plurality of microphones, after echo cancellation, wave beam domain noise reduction and multi-sound-source separation, a single-sound-source feature vector is extracted, according to the single-sound-source feature vector, abnormal sound including explosion, screaming or glass breakage is recognized through a BiLSTM and an attention mechanism model, and the abnormal sound is recognized through an attention mechanism model. And the GCC-PHAT and MDS-MUSIC algorithms are combined to position abnormal sound production, and alarm information is generated. According to the invention, accurate identification, positioning and alarm of the abnormal sound can be realized, and the real-time performance, the accuracy and the multi-target processing capability of abnormal sound monitoring in a complex environment can be obviously improved.

A method for equalizing a data signal includes providing a data signal to a pair of input transistors that provides an output signal, contributing to the output signal, a first current or voltage that has a magnitude determined by a first weighted feedback signal using a first decision-feedback circuit that includes a first pullup circuit coupled to a drain of a first input transistor, and a first pulldown circuit coupled to the drain of the first input transistor, and contributing to the output signal, a second current or voltage that has a magnitude determined by a second weighted feedback signal using a second decision-feedback circuit that includes a second pullup circuit coupled between a drain of a second input transistor and the first voltage rail, and a second pulldown circuit coupled between the drain of the second input transistor and a second voltage rail.

The invention discloses a multi-mode optical signal transmission method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The transmitted data stream is divided into a control signal and a data signal, the control signal is a visible light wave band, the data signal is an infrared wave band, and the control signal and the data signal are combined to a single multi-core optical fiber through a combiner; the optical network controller allocates subcarrier resources as required according to the change of network flow in a spectrum dynamic allocation mode to perform data transmission, so that the subcarrier resource allocation adapted to the change of network flow improves the dynamic adaptability, and the allocation of the subcarrier resources as required improves the equipment cooperation efficiency, and in the data transmission process, the data transmission efficiency is improved. Clock synchronization and signal encryption are realized through a quantum key distribution mode, and the security is improved.

The invention discloses a sleep monitoring method and system based on a non-contact video data sequence. The method comprises the steps that S1, video data streams of human body sleep are collected through a camera system; utilizing a YOLOv11 network to obtain face video data and thoracoabdominal video data; s2, the RPPG signal extraction model extracts and obtains an RPPG signal by using the face video data; s3, the breathing signal extraction model extracts thoracic and abdominal micro-motion change characteristics in the thoracic and abdominal video data by using an optical flow method, and noise filtering processing is carried out to obtain thoracic and abdominal motion signals as breathing signals; s4, the oxyhemoglobin saturation extraction model detects and outputs an oxyhemoglobin saturation signal by using the RPPG signal; and S5, performing multi-modal fusion analysis on the multi-physiological index fusion recognition model according to time slice T1 division to obtain a long-time-sequence sleep stage staging result. According to the invention, the physiological index signals are extracted and recognized by adopting the non-contact video data sequence, and the sleep stage staging result with a long time sequence is obtained, so that high-precision sleep monitoring and sleep stage recognition are realized.

The grouting drilling orifice reinforcement construction method based on intelligent control comprises the five steps that S1, drilling machine parameter signals are collected through operation of a drilling machine, and meanwhile geological data signals are collected through in-hole detection equipment; s2, the drilling machine parameter signals and the geological data signals are input into an intelligent decision-making center for fusion processing, and geological sensing signals are generated; s3, based on the geological sensing signal, calling a preset decision-making model through the intelligent decision-making center for calculation, and generating a grouting control instruction signal; s4, grouting operation is executed according to the grouting control instruction signal, and meanwhile a grouting process monitoring signal is collected and fed back to the intelligent decision center in real time; and S5, after grouting is completed, hole opening stable monitoring signals are continuously collected, and when the effect evaluation signals do not reach the standard, reinforcing grouting signals are automatically triggered, and grouting operation is executed again. According to the intelligent die adjusting method for the die-casting machine, the problems that drill holes are prone to collapse, reinforcement depends on experience, and quality is difficult to control can be solved.

The invention relates to an intelligent tunnel construction sewage treatment control system capable of realizing accurate dosing, and belongs to the technical field of automatic control. Comprising an information management computer, a data processing center, data acquisition equipment, data output equipment, an industrial communication network and execution equipment, the information management computer is connected with the data processing center, and the data processing center is respectively connected with the data acquisition equipment, the data output equipment and the execution equipment; a signal output end of the data acquisition equipment is connected with a data signal receiving end of the data processing center through an industrial communication network; and the data output equipment is connected with the output end of the data processing center through the industrial communication network. According to the intelligent tunnel construction sewage treatment control system capable of realizing accurate chemical adding, the problems of high impact load resistance, small chemical adding amount, high treatment efficiency and no need of excessive manpower participation are solved, and chemical waste is reduced.

The present technology relates to fault-managed power (FMP), and particularly, to generating FMP in an industrial automation environment using single-pair Ethernet (SPE) cabling for use by DC motors. An FMP system may include transmitter circuitry and receiver circuits coupled together via a transmission link formed using SPE cable. The transmitter circuitry can generate a FMP and transmit a pulsed signal having the FMP to the receiver circuits. The transmitter circuitry can also exchange data signals with the receiver circuits over a communication channel using the SPE cable. The receiver circuits can identify an expected power consumption of DC motors coupled to the receiver circuits and provide an indication of the expected power consumption to the transmitter circuitry. The transmitter circuitry can detect a fault based on a comparison between the transmitted FMP and the power consumption and terminate transmission of the FMP in response to detecting the fault.

The invention discloses a driving motor fault diagnosis method and device based on an artificial intelligence technology, and relates to the technical field of fault diagnosis, and the method comprises the steps: arranging a multi-modal sensor at a preset part of a driving motor, and obtaining a multi-dimensional data signal collected by the multi-modal sensor; performing real-time filtering, amplification and noise reduction processing on the multi-dimensional data signal, and performing feature extraction on the multi-dimensional data signal by using a feature extraction algorithm to obtain a plurality of key feature parameters; based on a preset dynamic weighted fusion algorithm, fusing the plurality of key feature parameters to obtain fused key feature parameters; and establishing a hybrid deep network architecture consisting of a long-short term memory network and a convolutional neural network, and inputting the fusion key feature parameters into the pre-trained hybrid deep network architecture to obtain corresponding fault information of the driving motor. The problem of low fault diagnosis accuracy of the driving motor in the prior art is solved.

The invention discloses an agricultural environment monitoring method and system based on digital agriculture. The method comprises the steps that S1, original environment data signals are collected through a heterogeneous sensor network deployed in a farmland area; s2, performing space-time fusion processing on the original environment data signal to generate a standardized environment state signal; s3, inputting the standardized environment state signal into a pre-trained multi-mode diagnosis model to generate an environment-crop coupling diagnosis signal; s4, according to the environment-crop coupling diagnosis signal, an agricultural operation decision signal is generated, and the agricultural operation decision signal comprises quantitative parameters of the irrigation amount, the fertilization formula or the disaster prevention and control instruction; and S5, converting the agricultural operation decision signal into an equipment control instruction signal, and driving an execution mechanism to complete precise agricultural operation. According to the agricultural environment monitoring method and system based on digital agriculture, the problems of data splitting, extensive decision making and execution lagging in agricultural environment monitoring can be solved.

The invention relates to the technical field of fault diagnosis, and discloses a bearing fault diagnosis method and system based on multi-source domain deep transfer learning, and the method comprises the steps: collecting vibration acceleration data signals of a bearing part in a typical fault state under different working conditions; establishing a backbone network of the diagnosis framework, calculating a feature distribution distance between each source domain and a target domain in training, constructing a multi-source domain loss function, and setting a multi-source domain loss dynamic adjustment mechanism according to a Wasserstein distance; and obtaining to-be-diagnosed target domain label-free signal data, preprocessing the data, inputting the preprocessed data into the trained diagnosis model, outputting a diagnosis result, storing the diagnosis result, and visually displaying the features. The influence of negative migration is effectively reduced by reducing the attention of the model on the classification effect of the multiple source domains, support is provided for further fault processing, and it is ensured that fault handling of the system is more accurate and safer.

The invention relates to cable manufacturing process optimization, and discloses a cable conductor process parameter optimization method and device. The method comprises a multi-source data acquisition step, a parameter decision step and a process control step. According to the multi-source data acquisition, a multi-source data signal is formed through data fusion; in the parameter decision-making stage, performance prediction, defect risk signals, optimal process parameters and safety process thresholds are output through sub-steps of prediction, optimization and regulation; and in the process control stage, dynamic parameter adjustment, equipment cooperative control and risk comprehensive early warning are realized through sub-steps of adaptive execution, equipment group control and interactive early warning. According to the method, through closed-loop control of multi-source data driving and intelligent decision making, precise optimization of cable conductor process parameters is achieved, the adaptability and stability of the production process are enhanced, the defect occurrence rate is effectively reduced, and the product quality consistency is improved.

The invention relates to the technical field of data cleaning processing, in particular to a big data cleaning method based on deep learning and data feature matching, and the method comprises the following steps: constructing a three-dimensional electromagnetic pollution topological map through an electromagnetic fingerprint spectrum generator; anti-interference cleaning channels are activated according to dynamic changes of the electromagnetic pollution topological map, and each channel generates a channel configuration instruction set; receiving a channel configuration instruction set, executing dual operations of data pulse waveform reconstruction and feature restoration, and outputting a restored clean data block; and writing back the clean data block to the original storage medium. According to the method, accurate recovery of pulse distortion caused by electromagnetic interference is achieved, and compared with a traditional method based on low-pass filtering or interpolation recovery, nonlinear interference components can be more effectively removed, data signal integrity is ensured, and the fidelity of recovered data is improved.

A pixel circuit includes a driving sub-circuit, a data writing sub-circuit, a compensation sub-circuit, a storage sub-circuit, and a first control sub-circuit. The data writing sub-circuit is configured to write a data signal provided by a data line into a second node under control of a first scan line. The compensation sub-circuit is configured to write a threshold voltage of the driving sub-circuit into the first node under control of a second scan line. The first control sub-circuit is configured to provide a reference voltage signal provided by a reference voltage line to the second node under control of the first control line after the data writing sub-circuit writes the data signal into the second node, so that the data signal written into the second node is coupled to the first node through the storage sub-circuit.

A display device may include a display panel including a plurality of pixels; and a data driver circuit configured to supply a data signal to the plurality of the pixels through data lines. A gate driver circuit, configured to supply a gate signal to the plurality of the pixels through gate lines, is disposed in the display panel. The display panel includes a driving layer including a gate area having the gate driver circuit; and a pixel circuit layer including an active area having a pixel area in which each of the plurality of pixels is disposed and a non-active area around the active area. The pixel circuit layer includes a light emitting diode, a clock line configured to supply a clock signal to the gate driver circuit, and a shielding pattern between the light emitting diode and the clock line.

The invention belongs to the technical field of display driving, and particularly relates to a display panel, a display driving method and a display device.The display panel comprises N rows of scanning lines, M columns of data lines and N rows * 2M columns of pixel circuits; each pixel circuit comprises a pixel unit and a control unit, the first control end of the control unit in the nth row is connected with the scanning line in the nth row, and the second control end of the control unit in the (2m-1) th column, the input end of the control unit in the (2m-1) th column, the second control end of the control unit in the (2m) th column and the input end of the control unit in the (2m) th column are all connected with the data line in the (m) th column; when the nth row of scanning line is opened, a data signal on the mth row of data line controls any one of the nth row of (2m-1) th row of control units and the nth row of (2m-1) th row of control units to be switched on or switched on alternately in a time-sharing manner; according to the display panel, the number of the data lines is reduced by half under the display condition of the same resolution, the power consumption and cost of the panel are reduced, and the refresh rate and the aperture opening rate are improved.

The invention belongs to the technical field of display, and provides a compensation circuit of a display device, a control method and the display device. The compensation circuit comprises a data receiving module, a judgment module, a data compensation module and a data transmission module which are connected in sequence; the data receiving module is used for receiving a data signal sent by the main control module; the judgment module is used for determining that an absolute value of a gray scale change value between a first pixel row and an adjacent second pixel row is greater than or equal to a preset gray scale value based on the data signal; the data compensation module is used for acquiring a digital signal correction value corresponding to the gray scale change value from a preset comparison table as a digital signal coding value of a second pixel row; and the data transmission module is used for outputting the digital signal coding value of the second pixel row to the driving circuit. The interference phenomenon can be recognized in advance, and the corresponding digital signal correction value is obtained, so that the horizontal crosstalk phenomenon is eliminated, and the quality of a display picture is improved.

Disclosed is a display substrate, including: multiple sub-pixels arranged in an array, multiple multiplexing circuits, multiple data signal lines, multiple selection signal lines and multiple data transmission lines, wherein the multiple sub-pixels include multiple color sub-pixels, and the data signal lines are electrically connected to the multiple sub-pixels; the multiple multiplexing circuits include multiple multiplexing transistors, which are respectively electrically connected to the data transmission lines, the selection signal lines and the data signal lines; the multiple selection signal lines are divided into multiple selection signal groups, and at least one selection signal group include multiple selection signal lines; the selection signal lines included in different selection signal groups are different, and the selection signal groups are electrically connected to the sub-pixels by means of the multiplexing transistors and the data signal lines; the colors of the sub-pixels electrically connected to the same selection signal group are the same.