40results about How to "Low resolution" patented technology

The invention relates to the technical field of image processing, and provides an underwater image enhancement method and system based on multi-modal degradation feature learning. The method comprises the following steps: collecting underwater image data of different modes to construct an underwater image data set, and dividing the underwater image data set into a training set and a test set; preprocessing the training set to obtain an image text degradation pair data set; constructing a multi-modal visual language MD-CLIP network framework, and training the MD-CLIP network framework by using the image text degradation pair data set; the MD-CLIP network framework comprises an image coding controller ContNet module, a pre-trained CLIP module and a comparative learning module; integrating the trained image coding controller ContNet module into an NAFNet network structure, generating an image enhancement network, and training by using the test set to obtain an underwater image enhancement model; and inputting a to-be-enhanced underwater degraded image into the underwater image enhancement model to generate an enhancement result graph of the to-be-enhanced underwater degraded image.

The invention relates to the technical field of interference reflection remote sensing, in particular to a tide level monitoring method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring SNR data of a low elevation angle of a reflection region on a sea surface; carrying out atmospheric refraction correction and trend term removal operation on the data to obtain a high-frequency component of the data; performing wavelet transformation on the high-frequency component to obtain an instantaneous frequency time sequence and a peak power time sequence at different moments, screening the instantaneous frequency time sequence and the peak power time sequence respectively, and finally performing average value calculation on frequency screening results to obtain a main frequency of the high-frequency component; the antenna height is calculated based on the dominant frequency to obtain an initial tide level sequence, the initial tide level sequence is decomposed into an astronomical tide sequence and a residual water level sequence which are arranged at equal intervals through quasi-tide harmonic analysis, and the astronomical tide sequence is corrected through local weighted linear regression to obtain a final tide level sequence. Therefore, the problem that the precision of a tide level monitoring result obtained in the prior art is low is solved.

The invention relates to a data monitoring technology, and discloses an energy consumption equipment data monitoring and energy optimization method and device based on the Internet of Things, and the method comprises the steps: obtaining an operation parameter set of energy consumption equipment in a preset time period, carrying out the denoising processing of the operation parameter set, obtaining a denoised operation parameter set, and carrying out the denoising processing of the denoised operation parameter set; calculating an operation stability coefficient according to the de-noising operation parameter set, if the operation stability coefficient is smaller than a preset stability threshold value, calculating an adjustment parameter and adjusting the operation voltage and the operation current, otherwise, calculating an operation efficiency coefficient of the energy consumption equipment, and if the operation efficiency coefficient is larger than or equal to a preset efficiency coefficient threshold value, adjusting the operation voltage and the operation current. And if yes, returning to the step of acquiring the operating parameter set, otherwise, calculating an optimization parameter according to the de-noising operating parameter set, and adjusting the operating voltage and the operating current of the energy consumption equipment according to the optimization parameter. According to the invention, the efficiency of energy consumption equipment data monitoring and energy optimization can be improved.

The invention belongs to the technical field of fluid machinery, and particularly relates to a method for evaluating the operation condition of a multistage centrifugal water injection pump. In order to solve the problem that in the prior art, the prediction precision of the operation condition of the multi-stage centrifugal pump is low, operation condition factor data of the multi-stage centrifugal water injection pump are obtained, wheel level factor data of the multi-stage centrifugal water injection pump are calculated, and the operation condition of the multi-stage centrifugal water injection pump is predicted according to various factor data influencing the operation condition of the water injection pump and result data. According to the method, the working condition early warning of the pump at a certain moment can be predicted through the method, the pump can be located on a certain stage of impeller, the problem can be found and solved before the impeller breaks down through maintenance and replacement in advance, the working condition of the water injection pump can be predicted, and the service life of the water injection pump can be prolonged. The maintenance cost and the failure rate are reduced, and the reliability and the stability of the multi-stage centrifugal pump are improved.

The invention belongs to the technical field of temperature measurement, and provides a multi-point temperature measurement system and method in a rotating state, and the system comprises a temperature difference measurement subsystem, a compensation temperature measurement subsystem, and a power supply subsystem. The temperature difference measurement subsystem comprises two module integration boxes, an ADAM-4520 signal conversion module and a computer; the compensation temperature measurement subsystem comprises two thermocouple junction boxes; the power supply subsystem comprises a 24V DC power supply and a slip ring. According to the invention, the three platinum resistors are arranged for temperature data acquisition, so that the measurement precision of the cold junction compensation temperature is improved; by introducing a free wiring terminal, the experiment efficiency is improved; by arranging the two module integration boxes, the total installation number of the ADAM-4118 analog quantity input modules is expanded to 32, the number of temperature measuring points is expanded to 256, and the requirement for measuring the temperature of multiple points under the rotating condition is met.

The present application relates to image analysis technology, disclose a kind of water rare biological detection method and system based on underwater image analysis, comprising: monitoring target water area in preset time period in light signal data stream and spectrum data stream, identify the light signal data stream light emitting event, obtain light emitting event timestamp sequence, based on light emitting event timestamp sequence obtain light emitting image sequence in light signal data stream and spectrum data sequence in spectrum data stream, to light emitting image sequence and spectrum data sequence is carried out denoising correction and space-time synchronization processing, obtain after alignment image block sequence and after alignment spectrum curve, according to after alignment spectrum curve constructs spectrum attention weight, to after alignment image block sequence is carried out multi-scale morphological feature extraction, obtain multi-scale morphological feature map, to multi-scale morphological feature map is carried out rare biological target detection, obtain target detection result.The present application can improve the accuracy of water rare biological detection.

The present application discloses a message transmission method and system, storage medium and electronic device in an Internet of Vehicles, wherein the method comprises: receiving packaged data broadcasted by a sending terminal through a direct communication interface of a receiving terminal, wherein the packaged data carries a wireless communication message and a first message identifier, the wireless communication message is used to provide a preset service, and the first message identifier is obtained by encoding the first dimension information of the preset service; when the first message identifier is verified, the first dimension information of the preset service is determined based on the first message identifier; when it is determined that the receiving terminal is allowed to obtain the preset service according to the first dimension information of the preset service, the preset service is obtained based on the wireless communication message. Through the present application, the problem of low accuracy of service provision caused by poor reliability of message transmission in the message transmission method in the Internet of Vehicles in the related art is solved.

The invention discloses a multi-style differentiation graph lightening system and device of a sighting telescope, and relates to the technical field of sighting telescopes. Comprising a prism, a differentiation plate, a first LED lamp, a second LED lamp and a lens, the differentiation plate is provided with a first pattern and a second pattern which are concentric, and the surface of the second pattern is coated with a black shading coating. By independently controlling on-off and color switching of the two LED lamps, free switching of independent display of the first graph, independent display of the second graph and combined display of the first graph and the second graph can be achieved, and multi-color adaptation is supported. The device ensures light conduction and imaging effects by accurately assembling all parts. The dividers can be replaced to expand and differentiate pattern styles, the problem that a traditional sighting telescope is fixed in dividers and colors is solved, the dividers are adaptive to different sighting scenes, the sighting flexibility and accuracy are improved, and the dividers are suitable for various sighting telescope devices.

This application relates to the field of robot control, and in particular to an adaptive control method and system for an intelligent inspection robot. The method includes real-time acquisition of inspection environment data through a sensor fusion structure comprising a lidar, infrared thermal imager, vibration sensor, and voiceprint recognition module; fusion processing of sensor data using an improved Kalman filter algorithm integrated with a deviation repair model algorithm to generate a dynamic 3D environment map and detect abnormal equipment sounds; adjustment of the robot's wheeled compound drive torque distribution by constructing a variable parameter control model suitable for slope scenarios based on an inertial displacement compensation algorithm and a dynamic friction coefficient estimator; and execution of local real-time obstacle avoidance and cloud-based equipment health prediction through an edge-cloud collaborative decision-making system, and dynamic optimization of the inspection path based on a digital twin model. The control system includes a sensor fusion module, a data fusion and localization module, a motion control module, an edge-cloud collaborative decision-making module, and an intelligent path planning engine. This application achieves the effects of more accurate data acquisition, better robot adaptation to complex environments, and improved decision-making and path planning capabilities.

The invention provides a seat limit position setting method, a vehicle and a storage medium, and relates to the technical field of vehicle-mounted seat calibration. According to the method, under the condition that a first distance and a second distance are not consistent, the final limit positions of a first seat assembly and a second seat assembly in the first direction are set to be the initial limit position corresponding to the one with the larger value in the first distance and the second distance; under the condition that the third distance and the fourth distance are not consistent, the final limit positions of the first seat assembly and the second seat assembly in the second direction are set as the initial limit position corresponding to the smaller one of the third distance and the fourth distance. In this way, even if a tolerance exists between the movable path of the first seat assembly and the movable path of the second seat assembly, the accuracy of follow-up levelness calibration of the side-by-side seat assemblies is not affected.

The application provides a substation foreign matter detection method and system, and relates to the technical field of power grids. The application enhances the pixel area changing with time in the image through time domain high pass processing, and enhances the pixel response of the real moving foreign matter. The spatial features of the static appearance attribute of the foreign matter and the motion time sequence features of the dynamic behavior of the foreign matter are extracted in parallel to form a double verification mechanism, so that the model can focus on the real moving area, and the effective identification of the small target, the variable form, the disordered floating and other foreign matters is realized. Finally, the target feature map including the semantic information and the fine position information is generated through multi-scale feature fusion, which can accurately classify by using the semantic information and accurately position by using the fine position information, so as to ensure the capturing ability of the foreign matter of different scales and simultaneously improve the classification accuracy and the positioning precision. The problem of low accuracy of the substation foreign matter detection is solved, and the accuracy of the substation foreign matter detection is improved.

The invention discloses an environment control device and system based on a textile workshop, and relates to the technical field of workshop environment control systems, and the device comprises a central control module which is used for centralized management and coordination of a plurality of adjusting devices for environment adjustment; the central control module comprises a data summarization unit, an intelligent analysis unit and a coordination control unit. By installing the central control module, the automatic control coordination function of the workshop environment is achieved, the problem of adjustment delay of manual control is solved, the adjustment speed and precision of the workshop environment are improved, manual operation is reduced, the automation level is improved, stable product quality is ensured, and the energy utilization rate is high.

The invention discloses a laser radar and camera combined calibration method based on a multi-feature three-dimensional target, and belongs to the technical field of laser radars. The method comprises the following steps: collecting multi-feature three-dimensional target data of a laser radar and a camera; performing feature extraction on the acquired multi-feature three-dimensional target data of the laser radar and the camera to obtain two-dimensional sub-pixel coordinates of key points under a camera image coordinate system and three-dimensional space coordinates of the key points under a three-dimensional sensor coordinate system; and performing joint external parameter calibration of the laser radar and the camera based on the obtained two-dimensional sub-pixel coordinates and the three-dimensional space coordinates. According to the invention, by designing the target in a specific form, the problem of low joint calibration precision of the multi-modal sensor caused by mismatching of the working range of the laser radar and the working range of the camera is solved, and effective and efficient correspondence of data features acquired by the laser radar and the camera is realized; and thus, high-precision joint calibration between the laser radar and the camera is completed.

The utility model provides a polishing device with a positioning function for cultural relic repair, and belongs to the technical field of cultural relic repair. The device comprises a supporting base, a first sleeve, a sliding base, a clamp mechanism, a direction adjusting arm, a driving mechanism and a grinding belt, the first sleeve is arranged at the top of the supporting base, one end of the sliding base is slidably arranged in the first sleeve in the horizontal direction, and the clamp mechanism is arranged at the other end of the sliding base; the clamp mechanism is used for clamping a ground object, the direction adjusting arm is rotatably arranged on the side wall of the side, close to the clamp mechanism, of the first sleeve, first driven wheels are arranged at the two ends of the direction adjusting arm, the first driven wheels are sleeved with the grinding belt, and the driving mechanism is configured to drive the first driven wheels to rotate. By the adoption of the polishing device with the positioning function for cultural relic repair, the problem that in the prior art, the precision is low due to the fact that the degree of freedom of a cultural relic polishing and repairing device is low can be solved.

The utility model discloses a simple rotary tea table which comprises a base, the top end face of the base is provided with a first stand column assembly, a second stand column assembly and a third stand column assembly which are arranged at intervals in the circumferential direction of the base, and the first stand column assembly, the second stand column assembly and the third stand column assembly are all vertically arranged and can rotate relative to the base; the bottom face of the first table top is fixedly connected with the top end face of the first stand column assembly. The bottom face of the second table top is fixedly connected with the top end face of the second stand column assembly. The bottom face of the third table top is fixedly connected with the top end face of the third stand column assembly. The first table top, the second table top and the third table top are arranged at intervals in the height direction. The table tops are supported and fixed in the height direction by arranging the vertical stand column assemblies, and the problem that the strength of a single-side fixing structure of an existing table top is low is solved.

The invention discloses a position information determination method and device and network side equipment, and belongs to the technical field of communication, and the method comprises the steps that first network equipment sends first position information of a terminal to second network equipment; the first network equipment receives second position information from the second network equipment; wherein the second position information is determined based on the first position information, and the second position information is used for indicating information of a service cell corresponding to the terminal.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

The present invention relates to the field of data analysis technology, and invents a method for analyzing the remaining life of a solid-state hard disk based on an improved classifier model, comprising: performing outlier screening and time series smoothing interpolation operations on hard disk monitoring data to obtain a hard disk data sequence; performing data standardization operations on the hard disk data sequence to obtain a standard data sequence, and performing multi-channel feature extraction and mutual information dimension reduction operations on the standard data sequence to obtain a hard disk attribute feature sequence; performing bidirectional time series encoding and global attention encoding on the hard disk attribute feature sequence to obtain hard disk attribute time series features; performing variational fault classification and fault labeling and time series dilation convolution on the hard disk attribute time series features to obtain standard time series features, and performing life analysis on the standard time series features to obtain the remaining life of the hard disk. The present invention also proposes a solid-state hard disk remaining life analysis system based on an improved classifier model. The present invention can improve the accuracy of life analysis.

The invention relates to the technical field of constant current sources, and discloses a high-precision pulse output current source, which comprises a feedback unit, a driving unit and an adjusting unit, and is characterized in that a first input end of the feedback unit inputs a control signal, and an output end of the feedback unit is connected with a control end of the driving unit; the feedback unit is used for outputting a driving signal after following and amplifying the control signal; the output end of the driving unit is connected with the control end of the adjusting unit, and the driving unit is used for switching the switch state based on the driving signal and then outputting an adjusting signal; the first output end of the adjusting unit is connected with the second input end of the feedback unit, the adjusting unit is connected with a load in series, and the adjusting unit is used for adjusting internal partial voltage based on an adjusting signal and outputting current flowing through the load and voltage at the two ends of the load as feedback signals; the feedback unit adjusts the driving signal based on the feedback signal. The current source can dynamically adjust the current flowing through the load and the voltage at the two ends of the load according to the feedback signal, and the precision of the current source is improved.

The invention relates to the technical field of metal nets, and provides a high-strength wave-absorbing copper net material and a preparation method thereof.The copper net material is formed by weaving copper wires, and the copper wires are composed of, by weight, 0.2%-0.6% of Sn, 0.06%-0.24% of Al, 0.03%-0.135% of B, 0.14%-0.24% of Cr, 0.12%-0.18% of Ni, 0.14%-0.2% of Zn and the balance Cu and inevitable impurities. According to the technical scheme, the problem that the copper wire of a copper wire mesh material is low in strength in the prior art is solved.

The present invention relates to artificial intelligence technology, and discloses a risk assessment method based on user portrait, including: generating a basic risk portrait according to the user's pre-loan data, and calculating the user's initial risk value according to the basic risk portrait; calculating the user's repayment intention value according to the user's post-loan repayment data; calculating the user's risk adjustment coefficient according to the user's post-loan related product overdue data; querying the user's associated users, obtaining the associated users' historical repayment data, and calculating the user's potential risk coefficient according to the historical repayment data; using the repayment intention value, the risk adjustment coefficient and the potential risk coefficient to numerically adjust the initial risk value to obtain the user's actual risk value. In addition, the present invention also relates to blockchain technology, and the pre-loan data can be stored in the nodes of the blockchain. The present invention also proposes a risk assessment device, electronic device and storage medium based on user portraits. The present invention can improve the accuracy of risk assessment.

This application relates to a highly generalizable water body extraction method and system based on remote sensing imagery. The extraction method includes: acquiring multi-source remote sensing image data and labeling water bodies; cropping the image data into image patches of a preset size; generating original and labeled image patch datasets and performing data augmentation processing to generate an augmented dataset; selecting the band combination with the largest inter-class variance to generate the optimal augmented dataset and performing data preprocessing to generate a vector format dataset, which is then divided into training, validation, and test sets; pre-constructing a SAM model; performing a first-stage fine-tuning of the image encoder based on the training and validation sets, and a second-stage fine-tuning of the mask decoder based on the training and validation sets to obtain a fine-tuned water body extraction professional model; inputting the remote sensing image data to be extracted into the water body extraction professional model to obtain a full-size water body extraction result image. This application can improve the accuracy and generalization ability of water body extraction.

According to the spline rubber expansion sleeve production process and the tooth grinding device, through finish turning and fine adjustment operation, it is ensured that the contact point of a follow-up spline rubber expansion sleeve and a workpiece internal spline is just the pitch circle of the internal spline, in addition, in order to facilitate machining of the spline rubber expansion sleeve, the structural form of the spline teeth is designed into a circle, and the spline teeth can be machined conveniently. When the expansion sleeve is manufactured, it is guaranteed that the key teeth and the inner cone are machined under the condition of one-time clamping, the centering precision of 0.005 mm is achieved, and high-precision workpiece assembly is achieved in the industry.

The invention relates to a face recognition method and device, computer equipment and a storage medium. Comprising the steps that sample inner face features of a model training image are extracted through an inner face feature extraction network in a double-flow face recognition model, and sample outer face features of the model training image are extracted through an outer face feature extraction network in the double-flow face recognition model; determining feature consistency loss, face recognition classification loss and identity consistency loss of the double-flow face recognition model according to the model training image, the sample inner face features and the sample outer face features; determining whether the double-flow face recognition model can be used as a target face recognition model or not according to the feature consistency loss, the face recognition classification loss, the identity consistency loss and the dichotomy cross entropy loss of the double-flow face recognition model during model training; and if yes, determining whether the to-be-detected image is a deep counterfeit image or not according to the target face recognition model. According to the scheme, the accuracy of face recognition can be improved.

The present application relates to the technical field of data calibration, and discloses a cloud water icing detection dynamic calibration method and system for an airborne terahertz radiometer, comprising: collecting external environment temperature and humidity data and calibration matching parameters; constructing an influence function of antenna icing on a flight platform on the radiation efficiency of a preset terahertz frequency band; performing icing analysis on the external environment temperature and humidity data to obtain an equivalent icing attenuation factor and correct a target source radiation reference value stored in the airborne terahertz radiometer; analyzing an environment compensation term and a system response term of the external environment temperature and humidity data; synthesizing the icing correction term, the environment compensation term and the system response term with the target source radiation reference value to generate a calibration coefficient; and using the calibration coefficient to compensate and correct real-time received original radiation signals of the terahertz frequency band to obtain a terahertz effective detection signal. The present application can improve the accuracy of cloud water icing detection dynamic calibration.

This invention provides a method and system for differential interferometry of alien celestial bodies, comprising: collaborative observation using an alien system composed of multiple satellites, all satellites adhering to the principle of common origin design to ensure coherence; orbital formation design for the alien system to shorten the effective revisit period; establishing a differential deformation error sensitivity model for the alien system to identify and quantify the main error sources; accurately estimating and compensating for key system errors based on the error sensitivity model; and finally, establishing and solving the deformation model of the alien differential system after error compensation to obtain high-precision surface deformation information. This invention also provides a system for executing this method. This invention significantly improves the timeliness of deformation monitoring through multi-satellite collaboration and ensures measurement accuracy through systematic error processing, making it suitable for scenarios such as emergency response and long-term dynamic monitoring.

The present invention discloses an X-ray digital imaging detection device for oxide scale accumulation on the elbow of a heating surface tube of a boiler, comprising a front fixing plate, the front fixing plate is connected to a rear fixing plate, the center of the side wall of the front fixing plate is rotatably connected to a front rotating shaft, and the center of the side wall of the rear fixing plate is rotatably connected to a rear rotating shaft; the front fixing plate and the rear fixing plate are located between the front rotating shaft and the rear rotating shaft; a front positioning device is provided between the front fixing plate and the front rotating shaft, and a rear positioning device is provided between the rear fixing plate and the rear rotating shaft; the front rotating shaft and the rear rotating shaft are respectively provided with transmission devices, and the transmission devices are connected to a radiation device and an imaging plate fixing frame matched with the radiation device. The present invention also discloses the application of the above-mentioned X-ray digital imaging detection device for oxide scale accumulation on the elbow of a heating surface tube of a boiler. The above-mentioned device disclosed by the present invention not only has high detection accuracy and high detection effect, but also can detect the heating surface tube of the boiler in multiple directions, with high data stability, and is simple and convenient to operate.

The present application belongs to the technical field of nondestructive testing, and relates to a large-aperture pipeline spiral weld defect identification and positioning method and system, comprising: based on the constructed column coordinate system, a double-mode collaborative excitation and sensing collection mode is adopted by a laser vibration detector detection device to obtain vibration signals, excitation point column coordinates and laser point column coordinates; core features are extracted to generate feature vectors; spatial coding is performed through Hadamard product to generate an input vector with position identification; according to the input vector with position identification, defect identification and positioning are performed through an optimized liquid state neural network to obtain defect classification and defect point three-dimensional coordinates. Through the double-mode collaborative excitation and sensing collection mode, Hadamard product coding, QRFS algorithm optimization and the liquid state neural network trained by the multi-task loss function and AdamW optimizer, the present application solves the problem of low precision of existing technologies in large-aperture pipeline spiral weld defect identification and positioning.

The invention discloses a coplanar differential pressure transmitter which is small in overall size, high in response speed and capable of conducting temperature compensation to ensure that the accuracy of a measurement result is high. The system comprises two groups of sensors; two groups of signal conditioning circuit boards; the metal shell is a sensor placement shell, two groups of mounting positioning grooves are formed in the bottom of the metal shell, and the mounting positioning grooves are used for placing sensors; an industrial housing; the digital display meter head comprises a conversion circuit board and a display screen; the sensor is fixedly installed in the installation positioning groove, the diaphragm end of the sensor is communicated with the atmosphere, the inner end of the sensor is connected with a signal conditioning circuit board, the signal conditioning circuit board has a temperature compensation function, and the signal conditioning circuit board converts weak voltage signals from the sensor into standard digital signals and carries out temperature compensation on the sensor. The top of the sensor external housing is fixedly connected with an industrial housing, and an inner cavity of the industrial housing is provided with a digital display meter.

This utility model provides a fixture for detecting the clearance at the rear of a forklift frame's fuel tank, comprising: a top cross plate, a rear cross plate, a detection plate, a positioning plate, a limiting plate, and a connecting plate; the top cross plate and the rear cross plate are vertically and fixedly connected; the detection plate is positioned below the top cross plate and to the side of the rear cross plate, with its two vertical sides fixedly connected to the surfaces of the top and rear cross plates respectively; the positioning plate is positioned between the two detection plates and is vertically and fixedly connected to the top and rear cross plates respectively, and has a positioning groove for fitting into the rear frame; the limiting plate is positioned between the two detection plates and is vertically and fixedly connected to the top and rear cross plates respectively; the detection plate, positioning plate, and limiting plate are parallel to each other; the connecting plate is parallel to the rear cross plate and fixes the positioning plate and the limiting plate together. The positioning plate of this fixture for detecting the clearance at the rear of the forklift frame's fuel tank is assembled in the same way as the counterweight on the frame, and the detection plate simulates the curvature of the counterweight after assembly to quickly and accurately detect the clearance between the sides of the fuel tank and the counterweight.