79 results about "Acquisition Scheme" patented technology

The invention discloses a marine environment real-time monitoring and early warning system based on machine learning, and relates to the technical field of machine learning. Comprising the steps that an ocean multi-source sensing module collects ocean environment data in real time through a sensor and a combined collection scheme; the multi-source feature extraction module performs time domain, change rate and frequency domain feature analysis on the data to construct a unified multi-dimensional feature vector; the multi-model fusion prediction module outputs a marine environment state vector through dynamic weighting and deviation correction based on a parallel learning architecture of a deep neural network, a long-short-term memory network and a one-dimensional convolutional neural network; and the ocean risk identification and early warning module generates graded and classified early warning information through double study and judgment of a sea condition classifier and an abnormal event detector. According to the method, comprehensive acquisition, deep feature mining, high-precision prediction and accurate early warning of marine environment data are realized, the problems of low prediction precision, risk identification lag and the like in the prior art are effectively solved, and reliable guarantee is provided for marine operation safety.

The invention provides a plant phenotype platform three-dimensional imaging method and device based on multi-sensor fusion, and the method comprises the steps: collecting the original three-dimensional point cloud data of a plant through a plurality of heterogeneous imaging sensors carried on a plant phenotype platform, and carrying out the time synchronization processing and space registration processing. And dynamically calculating the confidence coefficient weight of each data point according to the environment illumination condition, the measurement attribute of each data point in the registration point cloud set and the characteristics of the imaging sensor to which the data point belongs, and obtaining a point cloud set with a point-level confidence coefficient weight. Performing adaptive weighted fusion processing according to the spatial distribution of the point cloud set to generate a preliminary fusion point cloud model; and according to a quality index of the model and a real-time environment illumination condition, dynamically adjusting and calculating a weight parameter of a confidence coefficient weight, and finally outputting an optimized three-dimensional point cloud model after iterative optimization. The defect that a fusion result of an existing plant three-dimensional phenotype accurate acquisition scheme is insufficient in stability and precision in a complex and changeable field environment is overcome.

The invention relates to the technical field of fusion terminals, and particularly provides a fusion terminal data reporting missing rereporting method and system and a medium, and the method comprises the steps: through a reporting task initialization mechanism, when a fusion terminal is started or a task scheme and a table file change, emptying historical data and carrying out initialization again; adopting an acquisition scheme matching strategy based on the matching degree and the interrogation interval to accurately select a target acquisition scheme; in combination with a two-stage compensation mechanism of self-compensation and failure linked list compensation, compensation is scheduled according to protocol timeout in the self-compensation stage, and periodic compensation, forced compensation and redundant data cleaning are executed in the failure linked list stage. Through the above steps, the integrity and reliability of data reporting of the fusion terminal are effectively improved, and the accuracy of collection success rate statistics of the master station is guaranteed.

The invention discloses a distributed intelligent well logging system and a well logging method, and relates to the technical field of intelligent well logging. The distributed intelligent well logging system comprises an intelligent well logging module, a ground intelligent control module and a communication module; the number of the intelligent logging modules is N, and N is an integer larger than 1; the intelligent well logging module is arranged underground and used for collecting, processing and uploading well logging data. The ground intelligent control module is arranged on the ground and is used for receiving and analyzing data uploaded by the intelligent logging module and sending an acquisition scheme to the intelligent logging module; the intelligent well logging module and the ground intelligent control module are in two-way communication through the communication module. The intelligent logging module comprises a data acquisition unit, a first processing unit and a first communication interface unit; the ground intelligent control module comprises a second communication interface unit, an intelligent analysis unit and a control instruction generation unit, underground intelligent preprocessing and ground real-time analysis are achieved through deep fusion of a distributed architecture and an artificial intelligence technology, and an acquisition strategy can be dynamically optimized according to an analysis result.

The invention relates to the technical field of data processing, particularly provides a data acquisition system, method and equipment based on an authorized webpage resource access level and a medium, and aims to solve the problem of low network data processing efficiency. In order to achieve the purpose, the data acquisition system comprises a resource access level acquisition module used for acquiring a resource access level based on webpage response data and webpage serialization characteristics of an authorized target webpage, and a data acquisition module used for acquiring the resource access level if the resource access level is greater than a preset access level. If yes, generating a robot process automation data collection script based on the webpage response data, the webpage serialization features and the resource access level, and obtaining target data of the authorized target webpage based on the robot process automation data collection script; if the resource access level is smaller than or equal to the preset access level, the target data of the authorized target webpage is obtained based on the automatic browser frame and / or the preset data collection interface, and the optimal collection scheme can be dynamically selected.

The invention discloses a gravity dam safety risk management and control method based on a knowledge graph and a large model, and the method comprises the steps: constructing a gravity dam safety risk space-time knowledge graph which comprises an entity layer, a relation layer, an attribute layer and a time-space mapping layer, and achieving the full-life-cycle multi-source data structured association; constructing a knowledge enhanced large model, and embedding the space-time knowledge graph into a reasoning process; real-time and historical data of the gravity dam are collected and preprocessed, and the large model is input; calling a map association relationship and an evolution rule through a large model to complete risk anomaly identification, cause positioning and evaluation; historical cases and industry specifications in the atlas are retrieved, and a management and control decision scheme matched with the current working condition is generated; and collecting scheme execution data, extracting new knowledge and updating the graph. According to the invention, a closed-loop management and control mode is constructed, and the intelligent and refined level of risk management and control is improved.

The application is specifically a naked eye 3D virtual reality display system and method, and relates to the technical field of naked eye 3D display and virtual reality, comprising: a test pattern generation module; a photoelectric signal acquisition module; a signal phase analysis module; and a rendering parameter compensation module.In the application, the traditional external camera acquisition scheme is abandoned, a photosensitive sensor is attached to the inner side of a display module glass cover plate through optical glue, and a light shielding film and a frame wrapping design are matched, so that external environmental light can be isolated, signal distortion caused by environmental light reflection can be eliminated from the hardware structure; at the same time, a preprocessing circuit and the sensor are integrated at a zero distance, a tunable gain transimpedance amplifier band-pass filter is used to effectively filter out power frequency and high frequency noise, and a sinusoidal gray scale stripe design reduces spectral aliasing.

This application provides an adaptive seismic acquisition scheme generation method and system. The method includes acquiring a high-density seismic acquisition scheme corresponding to the area to be surveyed; calculating the redundancy of each physical point in the high-density seismic acquisition scheme; determining the maximum redundancy of each physical point based on the redundancy and acquisition cost; selecting a target redundancy less than or equal to the maximum redundancy from the redundancy of all physical points, and using the physical points corresponding to the target redundancy as acquisition points; and generating an adaptive seismic acquisition scheme based on the acquisition points. This application calculates the redundancy distribution of seismic data, omitting physical points with high redundancy in high-density acquisition, allowing for better recovery through subsequent reconstruction algorithms. By acquiring only essential key physical points with low redundancy, it significantly reduces the cost of high-density seismic acquisition while achieving high-density acquisition results, which is of great significance for high-precision seismic exploration.

The invention discloses an OBN seismic acquisition excitation point pitch and OBN point pitch parameter determination method, electronic equipment, a storage medium and a device. The method comprises the following steps: acquiring seismic data of a target area; constructing a three-dimensional fine geological model based on the seismic data; calculating a space sampling interval of each target stratum based on the three-dimensional fine geological model; determining a surface element grid of the target area based on the spatial sampling interval; calculating excitation point pitch and OBN point pitch parameters based on the surface element grid to obtain a plurality of excitation point pitch and OBN point pitch parameter combinations; and comprehensively analyzing the plurality of excitation dot pitch and OBN dot pitch parameter combinations, and determining an optimal excitation dot pitch and OBN dot pitch parameter combination. According to the method, the problem of determining the excitation dot pitch and OBN dot pitch parameters in the OBN acquisition scheme design process can be solved, the acquisition parameters are optimized, the imaging precision of OBN acquisition data is improved, and the OBN acquisition cost is reduced.

The application discloses a current collection sensor and railway signal section signal machine, and belongs to the field of devices for measuring current. In order to solve the problems of high single-point failure risk, easy common interference synchronous failure, insufficient high-voltage insulation protection, and mismatch between high-precision design and actual demand of the existing railway signal current collection scheme, the application provides a full-link heterogeneous redundant current collection sensor. The sensor comprises a double induction module, a double heterogeneous collection and conditioning module, a double processing module, and a data fusion output module. The application fundamentally avoids common interference synchronous failure, significantly improves the reliability and high-voltage safety of the system under the premise of meeting moderate accuracy, effectively controls the cost, and guarantees the collection continuity under single-path failure, and is particularly suitable for high-reliability monitoring scenarios of the lighting state of railway signal section passing signal machines.

This invention discloses a cell control method, device, and BMS (Battery Management System) equipment. The method is applied to the BMS equipment, which collects voltage data from multiple acquisition units within the battery pack. Each acquisition unit has acquisition lines connected to its positive and negative terminals, and multiple individual battery cells are connected in series within each acquisition unit. The method includes: acquiring the overall voltage of each acquisition unit; determining whether each overall voltage reaches a preset voltage threshold, where the preset voltage threshold is generated based on the cutoff voltage of the individual battery cell at its corresponding operating state and the number of individual battery cells in the acquisition unit. If the preset voltage threshold is less than the cutoff voltage of the acquisition unit, the operating state is either charging or discharging; if any overall voltage reaches the preset voltage threshold, the corresponding operation of the battery pack is stopped. The technical solution provided by this invention reduces the use of acquisition lines and chips, thereby lowering the cost of the acquisition scheme, while ensuring the safety and reliability of the battery cells.

This invention discloses an automated assessment method for the completeness and proficiency of instrumental performance in graded examination pieces. The method includes: a standard model construction step for the graded examination pieces; a multimodal performance data acquisition step; a completeness assessment step; a proficiency assessment step; and a graded scoring and diagnostic report generation step. Based on preset weights for each grade level, the completeness score and proficiency score are integrated to generate a total graded examination score, and a diagnostic report containing multidimensional assessment indicators and technical obstacle annotations is output. This invention relates to the field of music education technology. It dynamically adjusts the weights of completeness and proficiency according to the grade level, ensuring that the scoring logic aligns closely with teaching principles. It accurately identifies technical weaknesses and provides visual feedback and practice suggestions, enabling the assessment system to also possess teaching assistance functions. The unified technical framework is compatible with four major instrument categories: keyboard, plucked, bowed, and wind instruments. It employs a low-cost audio and video acquisition scheme, requiring no instrument modification and possessing the feasibility for large-scale promotion.

The invention provides a low-altitude situation three-dimensional reconstruction method and device based on multiple view angles of an unmanned aerial vehicle, and the method comprises the steps: carrying out the geographic space classification of the multi-view angle video data of the unmanned aerial vehicle, and obtaining a geographic space importance degree mark; generating a low-altitude situation acquisition scheme for the sub-regions according to the sub-region importance scores to obtain the low-altitude situation acquisition scheme; performing unmanned aerial vehicle low-altitude situation data re-acquisition according to the low-altitude situation acquisition scheme to obtain a multi-view low-altitude situation enhanced video; and sampling the multi-view low-altitude situation enhanced video data and the unmanned aerial vehicle multi-view video data according to different sampling rates according to the sub-region importance score, and performing three-dimensional reconstruction according to the sampled image. And high-precision low-altitude situation reconstruction is performed in a targeted manner.

The invention provides a rail transit deformation monitoring method combined with a BIM model, and belongs to the technical field of BIM model digital data processing. Multi-view image set detection is adopted to replace traditional multi-point total station measurement, and an image processing equation set is utilized to automatically extract rail geometric features and construct a rail geometric matrix; an optimal view set game model is established to automatically optimize an image acquisition scheme to reduce field operation complexity, a double-path cross fusion neural network is constructed to realize intelligent processing and automatic classification of deformation data, and adaptive fusion of the data is realized through a cross influence module and a gating weight function. After training is completed, deformation monitoring can be automatically completed on the basis of simple image input, three-dimensional visual labeling is carried out on the BIM model, and the technical problems that in the prior art, operation is complex and consumed time is long when a large number of devices such as a total station are adopted for track deformation monitoring in track traffic are solved.

The present disclosure relates to ultrasound-based strategies and techniques that are specially designed for time-resolved simultaneous cardiac tissue visualization and intracardiac flow instability mapping. First, to achieve high-resolution tissues images while also acquiring flow data, we devised an acquisition scheme which consists of two batches. The first batch is dedicated to tissue imaging, where we transmit a series of diverging waves emitted from different virtual source locations. These pulses have a single pulse-cycle to optimize axial resolution and are coherently compounded for improving lateral resolution. This paradigm generates tissue images with an improved resolution, allowing for real-time guidance at frame rates up to 50 fps. The second batch is dedicated for flow imaging where all diverging waves are transmitted from the same virtual source location. These flow pulses have a 5-cycle pulse length for improved flow signal. The length of this batch can be adjusted, but our experiments use a length of 64. The final transmission scheme alternates between the tissue batch and flow batch.

The invention discloses a fault detection method in 3D printing, and relates to the technical field of printing fault detection.The method comprises historical fault data analysis and real-time state data detection.The method comprises the steps that historical fault data of a 3D printer is collected firstly, and the maintenance weight is determined through an analytic hierarchy process in combination with multi-dimensional state parameters and fault data; then objective weights are determined based on data discrete characteristics through an entropy weight method, final weights of state parameters are obtained through weighted fusion, and then a fault monitoring scheme containing a state collection scheme and a state analysis scheme is formulated; according to the method, the scientificity of importance judgment of the state parameters is improved through double-weight fusion, the accuracy and timeliness of fault detection are improved through differential collection and multi-dimensional data analysis, the rate of failure report and false report of 3D printing faults is effectively reduced, and the accuracy and timeliness of fault detection are improved. The printing process stability is ensured.

This invention relates to the field of data processing technology and discloses a method, device, equipment, and storage medium for monitoring violations during bridge construction. By acquiring the planned time period for each construction procedure in each bridge construction section, the effective monitoring time period for each construction monitoring point is determined. Based on the monitoring type information and monitoring risk level of each construction monitoring point, and constrained by the image acquisition distance range corresponding to the monitoring type information and the image acquisition frequency range corresponding to the monitoring risk level, with flight distance as the optimization objective, an optimized solution for the UAV image acquisition path planning strategy is obtained. This strategy controls the UAV to execute flight, image acquisition, and judgment of bridge construction violations. By proposing UAV image acquisition schemes that meet the different monitoring distances and frequencies required for different construction procedures, the accuracy and efficiency of monitoring violations during bridge construction are improved, while extending the monitoring time of the UAV for violation monitoring, demonstrating good scenario adaptability.

The invention relates to a DNN inference delay prediction method and system for heterogeneous mobile equipment, and the method comprises the steps: constructing a data set, carrying out the enhancement processing of the data set, and carrying out the normalization of a performance counter; constructing a structure layer-hardware layer-delay layer three-layer mapping retrieval mechanism; constructing a delay prediction model, and calculating final delay through a GNN double-branch architecture; the dynamic knowledge base and the delay prediction model are used for cooperative work, and a prediction result is stored in the dynamic knowledge base. The method has the beneficial effects that compared with a traditional hardware actual measurement delay acquisition scheme or a single prediction model scheme, the method does not need to depend on real-time availability of target hardware and manual deployment operation; and the problems of high DNN reasoning delay acquisition cost and difficulty in cross-platform adaptation under the heterogeneous mobile equipment can be effectively solved only through a query and prediction dual-module collaborative software architecture.

The invention discloses a rail vehicle fault diagnosis information acquisition method. An important information acquisition and storage strategy is adopted. The method comprises the following steps: setting an important information acquisition starting condition of a monitoring point and a single acquisition total duration T0; meanwhile, setting a time-division frequency-division acquisition scheme in the total time period T0; the time-phased frequency-division acquisition scheme comprises the steps that the total acquisition time T0 is divided into T1, T2,..., Ti,... and TN, the sampling frequency corresponding to each time period is F1, F2,..., Fi,... and FN, and T0 is equal to T1 + T2 +... + Ti +... + TN and F1gt; f2gt; gt,... gt; figt; gt,... gt; i is greater than or equal to 1 and less than or equal to N, and N is greater than or equal to 2, namely, the acquisition frequencies in all time periods are different and are sequentially reduced. According to the invention, all effective information of railway vehicle daily fault diagnosis can be collected, invalid information is little or even no information exists, and the problems that the number of monitoring points for railway vehicle fault diagnosis is large, the information collection amount is large, and the calculation processing amount is large can be solved.

This invention specifically relates to a naked-eye 3D virtual reality display system and method, encompassing the fields of naked-eye 3D display and virtual reality technology. It includes: a test pattern generation module; a photoelectric signal acquisition module; a signal phase analysis module; and a rendering parameter compensation module. This invention abandons the traditional external camera acquisition scheme, instead attaching a photosensitive sensor to the inside of the display module's glass cover using optical adhesive. A matching light-shielding film and frame wrapping design effectively isolate external ambient light, eliminating signal distortion caused by ambient light reflection from a hardware structure perspective. Simultaneously, the preprocessing circuit is integrated with the sensor at zero distance, effectively filtering out power frequency and high-frequency noise through an adjustable gain transimpedance amplifier bandpass filter, and a sinusoidal grayscale stripe design reduces spectral aliasing.

The utility model relates to a data acquisition system based on an electric energy meter, and the system comprises a plant station terminal host which is provided with at least one first communication interface; the N levels of downlink module hierarchical structures comprise a first level of downlink module hierarchical structure to an Nth level of downlink module hierarchical structure, each level of downlink module hierarchical structure comprises at least one downlink module, and at least one downlink module in the first level of downlink module hierarchical structure is connected with the plant station terminal host through a corresponding first communication interface, each downlink module is provided with at least one second communication interface, and N is a positive integer greater than or equal to 1; and the at least one electric energy meter is connected with the corresponding downlink module through the corresponding second communication interface. The scheme provided by the utility model is an efficient and flexible high-frequency acquisition scheme for the data of the electric energy meter, and can meet the requirements for high-frequency data acquisition in environments such as a novel electric power system scene and an electric power spot market.

The disclosure provides a kind of management method and device of transaction data's blood relationship, it is related to big data analysis technical field.The specific implementation of the method includes: receiving the blood relationship analysis request of transaction data;Wherein, blood relationship analysis request includes the data source type of one or more data sources;According to data source type, determine the collection scheme of transaction data;Scan each data source, according to the collection scheme corresponding to data source, offline collection blood relationship analysis request initial data;Wherein, initial data includes data source identification;According to data source identification, initial data is shunted, extract the blood relationship of transaction data, and the blood relationship is shown.The implementation can realize the compliance circulation of transaction data, improve the analysis efficiency, accuracy and completeness of blood relationship, and accurately locate fault fast recovery, avoid the hindrance brought by local anomaly, guarantee the stable operation of big data system.

The application discloses a side channel black box attack method, device and equipment and a storage medium. Side channel information is collected according to a preset first collection scheme, a feature selection model is used to determine feature points of side channel leakage, and a feature vector is generated according to the determined feature points. Training data is collected according to a preset second collection scheme, the training data is cropped according to the feature vector to obtain a training data set, and labels are marked for the training data set. A deep learning model is trained according to the training data set with the marked labels to generate an attack model. Data is collected according to a preset third collection scheme, and an attack data set is generated by cutting according to the feature vector. The attack data set is input into the attack model to generate a probability vector of a key, and a side channel black box attack is completed by taking the key with the highest score as an attack key. Compared with the prior art, the universality of side channel attacks is realized, and the efficiency of side channel attacks is improved.

The embodiment of the invention provides a data processing method and device, electronic equipment and a storage medium, and relates to the field of data processing.The method comprises the steps that a plurality of CAN signals are collected, a plurality of data packets are constructed based on the CAN signals, the data packets comprise the CAN signals, and the data packets are processed based on the CAN signals in the data packets; the method comprises the steps of determining a write-in time range, a frame count, a CAN ID interval and an offset index of a data packet, constructing a block head of the data packet based on the write-in time range, the frame count, the CAN ID interval and the offset index of the data packet, compressing the data packet based on the block head and each CAN signal to obtain a compressed data packet, and storing each compressed data packet in a queue cache. According to the invention, the occupation of storage space can be reduced, and the defect of the existing CAN log acquisition scheme in cross-SoC compatibility is overcome.

This invention provides a platinum resistance temperature sensor acquisition system based on a voltage comparison algorithm, comprising: a constant voltage source output circuit, a temperature sensor positive terminal sampling circuit, a temperature sensor negative terminal sampling circuit, a reference resistor voltage acquisition circuit, a differential operational amplifier circuit, an AD conversion circuit module, and an FPGA control circuit. This invention solves the problems of dynamic error correction and inability to detect faults in external sensors and signal transmission lines in traditional bridge acquisition schemes. The effective application of the solution provided by this invention is of great significance for improving the control performance of aircraft environmental control systems.

The invention relates to the technical field of optical microscopic detection, in particular to a single-frame phase contrast microscopic imaging method based on multi-polarization-direction light field reconstruction, which comprises the following steps: adding polarization masks in a plurality of polarization directions into a microscopic light path; irradiating the sample to obtain a polarization image with multiple pieces of polarization direction information; carrying out polarization channel separation on the obtained polarization image to obtain sample intensity images corresponding to a plurality of polarization directions; generating image spectrum distribution corresponding to the polarization direction according to the sample intensity image; and performing phase recovery on the obtained image spectrum distribution to obtain a phase contrast microscopic image of the sample. According to the invention, multi-polarization light field information of a sample can be collected into a single polarization image, and a phase contrast microscopic image is obtained through a reconstruction algorithm. According to the polarized light field acquisition scheme, high-contrast and high-stability real-time phase measurement can be realized only by a single polarized image.

The embodiment of the application provides a kind of message processing method and related equipment, it is related to electric power system technical field.The method comprises: obtaining acquisition scheme message, it is judged whether acquisition scheme message is characterized as frozen data acquisition scheme, if yes, acquisition scheme message is updated to the acquisition scheme message with time scale data item in front of other data item.The method can be in frozen data acquisition scheme, can arrange time scale data item in the front position of message, in front of voltage, current, power, electricity energy etc.data item, so that clearly make voltage, current, power, electricity energy etc.data freeze first, then collect, avoid the situation of collecting error data without freezing, avoid storing error data, save equipment memory, and ensure that the data collected meets the needs of master station.

The utility model relates to an industrial control equipment IO port data acquisition circuit, which comprises an external input module, a WIFI control module, an Ethernet control module and an RJ45 transmission module, and is characterized in that the external input module comprises a plurality of photoelectric switch management units, the photoelectric switch management units are used for converting acquisition signals into standard electric signals, and the standard electric signals are transmitted to the Ethernet control module through the RJ45 transmission module; the signal output end of the photoelectric switch management unit transmits the signal to the WIFI control module, the data communication end of the WIFI control module is connected with the first data communication end of the Ethernet control module, and the second data communication end of the Ethernet control module is connected with the data communication end of the RJ45 transmission module. According to the utility model, the functions of IO point acquisition, signal conversion, wireless communication and wired communication are integrated into the same main control chip and hardware equipment, so that the defect of equipment separation in a traditional IO acquisition scheme is overcome, the dependence on a plurality of hardware devices is reduced, and the compatibility problem caused by interface separation in the traditional scheme is avoided.

The invention belongs to the technical field of ship environment simulation, and particularly relates to a digital twinning processing method for the internal environment of a ship. The digital twinning effect of the internal environment of the ship is optimized through multiple optimization processing modes, and the optimization processing modes comprise feature data rapid matching in combination with a traditional point cloud data acquisition scheme, point cloud data outlier elimination and point cloud smoothing processing, multi-level point cloud bounding box feature point cloud extraction and dynamic object database storage optimization. According to the dynamic monitoring optimization processing of the internal environment of the ship based on the target detection technology, the optimization processing of the variable and complex environment in the ship is realized, so that excessive resource consumption and operation process are avoided.

The invention relates to the technical field of intelligent data acquisition, in particular to an Internet of Things equipment data acquisition optimization method and system based on deep learning, and the method comprises the steps: collecting multi-dimensional real-time operation data of Internet of Things equipment, and carrying out the preprocessing of the real-time operation data based on an equipment identifier, and obtaining standard operation data; performing parameter importance analysis on the standard operation data based on a deep learning algorithm to obtain a parameter acquisition priority; performing dynamic strategy adjustment and verification on the parameter acquisition priority based on a working condition change rule to obtain dynamic acquisition strategy data; and extracting a working condition switching and parameter anomaly event set from the standard operation data, and carrying out strategy iteration optimization and effect verification on the parameter anomaly event set based on the dynamically acquired strategy data to obtain strategy iteration data. According to the scheme, through a dynamic acquisition scheme, the accuracy and effectiveness of equipment data acquisition are improved.