208 results about "Acquisition Scheme" patented technology

A method for accelerating data acquisition in MRI with N-dimensional spatial encoding has a first method step in which a transverse magnetization within an imaged object volume is prepared having a non-linear phase distribution. Primary spatial encoding is thereby effected through application of switched magnetic fields. Two or more RF receivers are used to simultaneously record MR signals originating from the imaged object volume, wherein, for each RF receiver, an N-dimensional data matrix is recorded which is undersampled by a factor R_i per selected k-space direction. Data points belonging to a k-space matrix which were not recoded by a selected acquisition schema are reconstructed using a parallel imaging method, wherein reference information concerning receiver coil sensitivities is extracted from a phase-scrambled reconstruction of the undersampled data matrix. The method generates a high-resolution image free of artifacts in a time-efficient manner by improving data sampling efficiency and thereby reducing overall data acquisition time.

The present invention relates to a method of unifying information and tools from multiple information sources and a computer program product and apparatus applying the method. The method of the present invention includes: (i) providing an acquisition scheme to extract an attribute and a related link corresponding to an original information and/or an attribute and a related link of an original tool; the original information and/or the the original tool is obtained from the plurality of information sources; (ii) reorganizing the attribute and the related links of the original information according to a unified data structure to model the original information into a unified information unit, and/ or reorganize the attribute and the associated link of the original tool according to another unified data structure to model the original tool as a unified tool; the unified data structure and/or the other unified data structure respectively A format used to model the raw information and/or the raw tool. The present invention facilitates user management of dispersed information and/or tools.

The present invention discloses a fingerprint acquisition method, a fingerprint acquisition device and an electronic device. The fingerprint acquisition method comprises: obtaining multi-frame fingerprint images formed by sliding a user's finger on a fingerprint sensor; performing the preset splicing processing of the multi-frame fingerprint images; and extracting feature points from the user fingerprints obtained by splicing to obtain the user's fingerprint features. The present invention provides a fingerprint acquisition scheme on the basis of a sliding mode (recording fingerprints through sliding), compared with a pressing mode, the sliding mode is able to acquire each frame image having better continuity, and generally, there are provided necessary and appropriate overlapping regions, and island fingerprints are not easy to appear, therefore the problem of invalid recording in the pressing mode is overcome; and multi-frame continuous images may be obtained in one sliding process, and complete and comprehensive fingerprint information may be obtained with no need for repeated recording, therefore the number of times of operating a sensor by a user may be effectively reduced on the premise of supporting a higher recognition rate and the user experience is better.

The invention discloses a method and a system for acquiring arrival time of a vehicle. Based on the three-dimensional information of date, time frame and road segment, according to the volatility of the arrival time of the vehicle, a target road segment to be predicted is divided into different road segments, the segment predication of the arrival time of the vehicle is carried out on each road segment, and finally the arrival time of the vehicle of the target segment to be predicted to the road segment on the target road segment is acquired. While the purposes of the method and the system are achieved, compared with an existing time acquisition scheme, the arrival time is acquired based on the volatility of the arrival time of the vehicle, so that the accuracy of time acquisition is obviously improved; moreover, the prediction running time of each road segment is recorded by utilizing a vector machine object as road recording of training recording, and thus the arrival time of the vehicle is acquired, the complexity of the scheme is simplified, the running time of the scheme is reduced, and the acquisition efficiency of the arrival time of the vehicle is improved.

The invention provides a traffic behavior analysis method oriented to a distributed network. The method comprises the following steps: deploying a network traffic collection scheme; collecting historic traffic data; training a model; acquiring a traffic behavior model; collecting real-time traffic data; and estimating the network global traffic behavior. The whole distributed network is regarded as the whole, the network traffic intrinsic behavior state is analyzed by collecting the network node traffic information and utilizing space-time context relation of the network node traffic behavior,the monitoring on the network global traffic behavior is realized, the resource scheduling, the abnormal detection and like network management work can be developed in assistance.

The present invention is directed to methods for chemical species signal suppression in magnetic resonance imaging procedures, wherein Dixon techniques are enhanced by continuously sampling techniques. In the invention, k-space data is acquired during the entire period of read gradient associated with a gradient echo pulse acquisition scheme. The invention utilizes a total sampling time (TST) acquisition during the entire read gradient, using three echoes of a TST data set to achieve chemical species separation in both homogenous fields as well as areas of field inhomogeneity. As an example, a continuously sampled rectilinearly FLASH pulse sequence is modified such that the time between echoes was configured to be 2.2 milliseconds, with TE selected to allow 180° phase variation in the fat magnetization between each of the three TE's (TE1, TE2, and TE3). Data collected during the dephase and rephase gradient lobes are defined as a first Dixon acquisition, with data collected by the read gradient lobe being defined as a second Dixon acquisition. Two point Dixon reconstruction techniques are used to form images for each chemical species, such as for generating water and fat images of the scanned object region. Other corrections, such as off-resonance correction may be applied on the image data.

The invention belongs to the technical field of fault diagnosis of rotary machines, and relates to a fault diagnosis method for a condition-variable planetary gear box based on multi-sensor information fusion, especially to a fault diagnosis method suitable for the condition-variable complex wind power planetary gear box. The method comprises the following steps that (1) according to the structural characteristic and diagnosis difficulty of the planetary gear box, proper vibration measuring point positions and sensor types are selected, and a collection scheme is made; (2) according to the order reconstruction technology, vibration signals are preprocessed, nonlinear non-smooth time domain signals are converted into smooth angle domain signals, and non-smooth vibration time-domain signals sampled in equal time interval are converted into angle domain vibration signals with smooth feature; (3) information of multiple sensors is fused; (4) faults of the planetary gear box are divided into distributed faults and local faults; (5) fault modes are identified; and (6) verification is carried out. According to the diagnosis method, the accuracy of a diagnosis result is high, and the practicality is high.

A multivariate product quality monitoring method oriented to a digital workshop includes the steps: building a quality information acquisition scheme suitable for the digital workshop; building a quality control and improvement model oriented to the digital workshop, and particularly performing multivariate process capacity analysis based on an improved principal component analysis method according to multiple quality characteristics of key processes of key products of a machining workshop; controlling and diagnosing multivariate product by the aid of principal component analysis technology to solve the problem that a multivariate statistical control chart difficultly diagnoses and positions process exception. The quality assurance capability of the key processes of the key products can be quantitatively evaluated by the workshop, and a source of a quality problem is timely positioned when the quality problem arises, so that further cost loss is avoided.

A method for improving the data acquisition efficiency of low voltage power line broadband carrier waves comprises the following steps: in a system constructed by a concentrator, acquirers and electric energy meters, the concentrator is in communication connection with the acquirers and the electric energy meters respectively and executes the steps of physical relation construction, concurrent acquisition and acquirer traversal; data acquisition is carried out by adopting a traditional data acquisition scheme when a physical topology relation table is not established; and after the physical topology relation table is established, the electric energy meters connected with different acquirers simultaneously execute a concurrent meter reading treatment technology and an asynchronous communication technology in order to make the concentrator simultaneously acquire data of the electric energy meters externally connected with N acquirers in a same zone area. The method for improving the data acquisition efficiency of low voltage power line broadband carrier waves has the concurrent meter reading treatment technology and the asynchronous communication technology and adopts a scheme for simultaneous parallel acquisition of the electric energy meter data by the different acquirers to substitute a traditional scheme for acquiring one by one according to the sequence of the electric energy meters, so the data acquisition efficiency is substantially improved.

A method for establishing a magnetic resonance system actuation sequence is described. A first number of field distribution maps are acquired for slices of the measurement region, and a radiofrequency pulse train is established on the basis thereof for the magnetic resonance system actuation sequence. This acquisition of the first number of field distribution maps may be brought about on the basis of an acquisition scheme. A reduced number of field distribution representation maps are established on the basis of the acquired field distribution maps, which field distribution representation maps represent the first number of acquired field distribution maps in accordance with a predetermined optimization criterion, and the radiofrequency pulse train is established on the basis of the field distribution representation maps.

The invention discloses an acquisition task priority scheduling control method for an electricity information acquisition terminal. Due to the fact that the type and number of data acquired by an existing acquisition terminal are more and more, acquisition task conflicts are generated in the key working stage of the acquisition terminal, and the key data acquisition success rate of the acquisition terminal is influenced seriously. According to the technical scheme, the method comprises the steps that a main station sends an acquisition scheme for configuring acquisition priorities to acquisition tasks to the acquisition terminal, a passive meter reading mode is adopted by an acquisition terminal router, and meters request the acquisition terminal to read data in turns according to meter records configured in the router; the acquisition terminal conducts meter reading according to the task superlative strategy; and all the meters request the acquisition terminal to read data in turns again, and the acquisition terminal continues to conduct meter reading according to the task preference strategy. According to the acquisition task priority scheduling control method, a data acquisition task scheduling function of the terminal is optimized according to the acquisition task priorities; and by configuring different acquisition priorities to different acquisition tasks, the acquisition efficiency and acquisition success rate of important data can be guaranteed.

The invention relates to a configurable webpage data acquisition method and system which is especially suitable for the situation that a webpage data acquisition mode is needed to be continuously updated. The configurable webpage data acquisition method comprises the steps that S1, configuration information for webpage data acquisition is obtained from a database; S2, required classified websites are obtained and logined according to the configuration information; S3, themes required to be acquired by the websites are obtained according to website information after login; S4, required website contents are acquired according to the configuration information and the acquired themes; S5, required information of acquired content pages is extracted through a regular expression in a configured data table or according to a certain rule; S6, extracted table data are stored in the database. By means of the configurable webpage data acquisition method and system, a user can voluntarily and optionally configure webpage data required to be acquired, acquire relevant data information of the whole network according to a configured acquisition scheme and achieve flexible and convenient webpage data acquisition.

The invention relates to an inventory management system based on a strategy module. The system comprises an image collection unit, an image identification unit, calculation equipment and a strategy unit, wherein the image identification unit responds to the state of goods held by an access mechanism to identify the change of at least one inventory position of a goods shelf around the absolute position of the access mechanism and/ or positioned on a preset relative position; the calculation equipment judges a corresponding relationship between the changes of the goods and the inventory positionto generate inventory information; the calculation equipment records the inventory information of each type of goods in the historical information of each type of goods in a certain period; in addition, after analysis is carried out on the basis of the historical information and the inventory information, the inventory state information of each type of goods is obtained; and the strategy unit triggers and regulates the collection scheme of the image collection unit and/ or the identification scheme of the image identification unit on the basis of the inventory state information.

The invention belongs to the field of sound wave signal processing, and particularly relates to an equipment health state intelligent detection method and system based on sound wave signals. The method is based on an equipment fault sound wave signal identification technology of deep learning. Equipment sound is collected according to a unified voiceprint acquisition device and an acquisition scheme, equipment sound signals are preprocessed, a CNN model and an RNN model are trained, the CNN model and the RNN model are integrated, and the model is solidified and stored. During use, a to-be-tested signal is collected firstly, then the to-be-tested signal is input into the trained model for prediction, and a prediction result is displayed in real time. By using the method and the system provided by the invention, the adaptive capacity and the judgment accuracy of the model are enhanced, the result can be displayed in real time, and the fault detection efficiency is improved.

The embodiment of the invention provides an acquisition task management method and system. The method comprises the following steps that: a scheduling module loads an acquisition scheme and reads a target node list from the acquisition scheme; the scheduling module generates a management task list according to the target node list; the scheduling module distributes acquisition tasks in the management task list to an acquisition node according to a preset balance mechanism. The system comprises a scheduling module which is used for loading the acquisition scheme and reading the target node list from the acquisition scheme, generating a management task list according to the target node list, and distributing the acquisition tasks in the management task list to the acquisition node according to the preset balance mechanism.

Control mechanisms, computer software and methods for driving vibrational source arrays underwater. An incoherent acquisition scheme drives individual source elements simultaneously and incoherently while a coherent acquisition scheme drives high-frequency individual source elements simultaneously and incoherently and low-frequency individual source elements simultaneously and coherently. Thus, denser coverage and an increased energy input is achieved for the source arrays.

The present invention is a method for determining the day-ahead energy acquisition of electricity retailers considering demand response resources, which includes the following steps: 1) The retailer collects data from the smart meter at the user end, including the user's next day's electricity demand and demand response resources etc.; 2) The retailer predicts the DG output and electricity price in the wholesale market in the area; 3) The retailer uses the data grouping technology based on similarity to classify and merge the above data to reduce the scale of problem solving; 4) The retailer uses the data proposed in this paper The model is optimized and solved; 5) The retailer purchases electricity in the power day wholesale market according to the optimized result obtained, and uploads its own related plans to the DSO; 6) The retailer sends the instruction to the smart meter at the user end and accepts the DSO dispatch . The invention can effectively solve the problem of integrating demand response resources and provide a basis for formulating day-ahead energy acquisition schemes for retailers on the electricity retail side.

The invention relates to an acquisition and processing method for obtaining seismic reflected waves. The method includes the following steps that: (1) an exploration area geologic model is established; (2) geophysical parameters are assigned to the exploration area geologic model; (3) excitation wavelets are applied to perform illumination forward modeling, valid excitation wavelets which are corresponding to the maximum energy of the model are determined according to illumination intensity; (4) the selected excitation wavelets are adopted to perform illumination forward modeling, so that the sequence length pairs of a geologic target layer optimal imaging effect are obtained; (5) a vertical minimum resolution is calculated according to the maximum frequency of the selected excitation wavelets and the stratum minimum velocity of the geophysical parameters, and the vertical minimum resolution is adopted as a spatial sampling rate to perform sampling, so that the spatial sampling density of the geologic target layer optimal imaging effect is obtained; (6) the parameters determined in the step (3) to the step (7) are adopted as field test parameters to perform a pilot test; and (7) sensitive parameters that influence a geological target body imaging effect and the sensitive parameters of a cost factor are obtained; and (8) a technologically effective and economically feasible acquisition scheme is obtained.

The invention discloses a complete vehicle-level road simulation test method, which comprises the following steps of: judging a rack test form according to the arrangement, weight and size of a wholesystem to be tested and a computer whole vehicle modal analysis result, and formulating a road load spectrum acquisition scheme; Acquiring a load spectrum according to the acquisition scheme and the test field acquisition standard of the associated user; Based on an equal damage principle, editing the load, and generating an acceleration spectrum for the rack; carrying out Virtual iteration on multi-body dynamic software, and prejudging convergence; Based on a multi-body dynamics analysis result, carrying out dynamics modification on the whole to-be-tested test model; And based on the compressed and edited acceleration spectrum, carrying out a whole vehicle-level road simulation test on the whole system to be tested on a rack. Therefore, the method can improve the test precision, shorten the verification period and the verification cost, and reduce the verification risk.

The invention relates to the technical field of data acquisition and statistics, particularly to a data extracting and processing method supporting high-concurrency large-volume data. By defining an acquisition scheme flexibly; client software defines an acquisition SQL (structured query language) and an acquisition frequency for acquiring data at a fixed time, and a server module provides security login, data importing and business logic processing triggering, so that mass data can be stably acquired into an enterprise database to provide a data source for enterprise decision analysis.

The invention belongs to the technical field of unmanned aerial vehicles, particularly relates to a multi-unmanned aerial vehicle cooperation method, system and device for multi-point water quality sampling, and aims at solving the problem that an existing unmanned aerial vehicle water quality collection method is not suitable for a complex collection scheme. The method comprises the steps: acquiring multi-point water quality sampling task information; based on the multi-point water quality sampling task information, determining an unmanned aerial vehicle group participating in multi-point water quality sampling; performing sampling point position distribution on each unmanned aerial vehicle in the unmanned aerial vehicle group; controlling each unmanned aerial vehicle in the unmanned aerial vehicle group to fly from a starting position to a corresponding sampling point position; based on the set collection strategy, triggering a sampling instruction, and performing water quality sampling corresponding to the sampling depth; and after the sampled water quality is obtained, controlling each unmanned aerial vehicle to return. According to the invention, a plurality of water quality sampling points can be comprehensively sampled, and the method can be suitable for a plurality of water quality sampling schemes and has strong applicability to complex acquisition schemes.