565results about How to "High data accuracy" patented technology

The invention discloses an electrocardiography comprehensive sorting method based on deep learning algorithm. The method comprises the following steps of acquiring original electrocardiography waveform data and electrocardiography additional information as well as electrocardiography rhythm information, representative PQRST waveform data, conducting waveform classification to the related information via trained first deep learning algorithm to achieve a first sorting result, conducting trained second deep learning algorithm to related information to achieve P wave, QRS wave and T wave data and calculating representative PQRST wave featured data and inputting the above into a traditional electrocardiography computer for automatic sorting algorithm to achieve a second sorting result, and adding weight to adjust the sorting results and designating a sorting result having the maximum grade value as a final sorting result. Characteristics of electrocardiography classification are rationally combined; the deep learning method is trained via the above steps and waveform classification is conducted via the deep learning method, so accuracy of sorting result of the electrocardiography explanation can be improved.

The lidar detection device uses four two-dimensional lidars to scan an obstacle, to obtain original point-cloud data corresponding to the obstacle, and the original point-cloud data includes a relative distance, a relative angle and a relative speed of the obstacle relative to the vehicle, Next, the point-cloud data is classified into at least one point-cloud group corresponding to the obstacle, and a border length of the obstacle is obtained according to a contour of the point-cloud group. Kalman filter and extrapolation are used to estimate and track a movement path of a dynamic obstacle, and transmit the relative speed and the border length of the dynamic obstacle to an automatic driving controlling device. According to the relative distance, a coordinate of the dynamic obstacle nearest the vehicle can be obtained and transmitted to the automatic driving controlling device efficiently.

The invention discloses a complex riverway terrain quick and fine generation method. By performing unified block division, classification and numbering on spatial relationships of complex terrain boundary points, scattered boundary points are fitted with a natural riverway course and a new riverway boundary is generated, so that the problem of disorder of a large amount of boundary points of a riverway is solved; through a finite riverway monitoring section terrain, based on a weight interpolation method, quick generation of a riverway terrain is realized; and the terrain is generated throughriverway interpolation, and accurate supplement of a riverway section is realized by utilizing a distance between a to-be-supplemented section and a known sampling elevation section of the riverway, and a gradient change. According to a characteristic that the scattered boundary points of the riverway and terrain elevation sampling data cannot meet riverway hydrodynamic calculation precision requirements, the modes of riverway boundary fitting, riverway terrain interpolation and riverway sampling elevation section supplement are adopted, the characteristics of the natural riverway course and the terrain change are fully considered, and the terrain interpolation errors are effectively reduced.

A system and method for issuance of a financial network-based payment card (generally known as a “credit card”) almost instantaneously after application, wherein an applicant applies for a credit card by entering data into a data entry system, advantageously by filling in a plurality of predefined forms in a computer-based data entry system. The applicant's data is sent via a data network to a central decision center, which approves or disapproves the application. If the application is approved, data is generated and delivered to a card production system, which embosses and magnetically encodes a card blank. The card is then delivered to the applicant.

The invention relates to a traffic jam grade detection method based on cellphone signal data, in particular to a technique for detecting existence and severity of traffic jam through the cellphone signal data. According to the technique, a correspondence between a road segment and a cellphone network is established first, the cellphone signal data collected is then analyzed to obtain cellphone signals within detection intervals, a plurality of feature variables used for jam detection are calculated, the feature variables are analyzed by an adaptive detection algorithm established, and the traffic jam and its severity are judged. The technique is characterized in that the feature variables are provided on the basis of cellphone signal analysis, and a corresponding adaptive detection algorithm is provided. The technique has the advantages that the existing mobile communication network resources and information in the existing cellphone communication networks can be fully utilized to perform large-range real-time traffic status monitoring in a short time; meanwhile, detection precision is higher, and the use of the adaptive algorithm decreases consumption of the traditional algorithms in parameter calibration.

The present invention relates to a method for cluster based data in wireless sensor networks. The method includes: selecting any one of border nodes positioned at the edge of a cluster as a temporary cluster head as a temporary cluster head when a target is sensed in the cluster; bugging data of the temporary cluster head by border nodes in other adjacent cluster which do not sense the target to temporarily change the border node selected as the temporary cluster head to a cluster head of each of the border nodes; when the target is sensed by at least one of the border nodes, collecting data from each of the border nodes by the temporary cluster head to transferring the collected data to an actual cluster head of the temporary cluster head; and aggregating the collected data by actual cluster head of the temporary cluster head.

A method for detecting thermal insulation property of textile product TP includes heating test plate and protective plate as well as base plate to be temperature of 16deg.c higher than ambient one by instrument, judging whether temperature difference TD between test plate and ambient is over 16 minus or plus 0.5deg.c or not and increasing or decreasing duty ratio of square wave if it is to make TD be in scope of set value, detecting actual TD between test plate and average ambient then calculating out thermal insulation index and clausius value of TP according to final duty ration of square wave and heating power of test plate.

The method according to a preferred embodiment of the present invention provides a pre-shopping reservation tool which allows storing entire catalogues of air travels from many providers, while ensuring a high cache accuracy at limited operational costs. The system makes use of the fares knowledge to merge identical travel recommendations coming from different travel providers (airline, travel agencies) when possible, i.e. when fares are public and not negotiated for a specific travel provider. This prevents redundant prices to be stored in the system and improves its cost effectiveness. The system according to a preferred embodiment of the present invention relies on several dedicated data analysis engines to optimize the cost of data pre-computations while at the same time maintaining good data accuracy.

The invention discloses a template library based rapid modelling method for a transformer substation. The method comprises steps as follows: transformer substation information point cloud data are acquired by a 3D laser scanner; a point cloud model is obtained through data preprocessing; a detailed equipment model represented by CAD models and a 3D landscape model are established through detailed modelling, and a model library is formed through mapping and organization by a management system; overall layout of the transformer substation is established, repeated structure detection is performed, and a mode primary subgraph of the transformer substation is obtained through extraction; on the basis of the established model library, the point cloud model and the corresponding CAD model in the model library are subjected to template fitting with a shape retrieval method, and a CAD model with the maximum similarity to the point cloud model is output; through a registration and calling mode, rapid reestablishment is realized; a 3D overall model of the transformer substation is obtained by fusing the detailed equipment model and the 3D landscape model. The method has the benefits as follows: rapid reestablishment of the transformer substation model is realized, and the modelling efficiency is greatly improved while the model accuracy is guaranteed.

The invention discloses an intelligent building sun-shading system which comprises electric sun-shading louvers (4), a driving controller (3), a small meteorological station (1) and a controller (2). Data acquired by the small meteorological station is computed to calculate and judge various working environments where each electric sun-shading louver is positioned and control requirements of each electric sun-shading louver in real time; and according to preset priorities, working states of the electric sun-shading louvers are controlled. According to the invention, the requirements of variation of the outdoor temperature of each sun-shaded position of a building, the outdoor wind and rain condition, the indoor energy consumption condition and indoor daylighting can be comprehensively considered; and on the premise of ensuring safety, the indoor photo-thermal environment is effectively regulated, energy consumption of the building is effectively reduced and indoor comfort of the building is improved. The invention also discloses an intelligent building sun-shading method.

The invention discloses a system and a method of quick adjustment of a liquid crystal display television. The system and the method of quick adjustment of the liquid crystal display television comprise a liquid crystal display television to be adjusted, a color analysis meter and an optesthesia color correction control device. The optesthesia color correction control device sends instructions to a display control main board of the liquid crystal display television to be adjusted to ensure that the liquid crystal display television to be adjusted displays a specific testing image; the color analysis meter acquires actual color data of the testing image displayed by the liquid crystal display television to be adjusted and sends the actual color data to the optesthesia color correction control device; the optesthesia color correction control device compares the received actual color data with arranged goal Gamma and color temperature, and therefore acquires an adjustment value, and sends the adjustment value to the display control main board of the liquid crystal display television to be adjusted to conduct corresponding white balance adjustment until acquired color adjustment data is most close to the arranged goal Gamma and the color temperature, and conducts fitting on most similar color adjustment data and a goal optesthesia curve, and accordingly acquire adjusted Gamma curve.

The invention relates to a vibration quality control technology in concrete pouring construction of hydraulic engineering, in particular to an intelligent detection method for vibration effective depth. The intelligent detection method comprises the following main steps that sensors are adopted to collect real-time operation information of a vibrating machine/beam in an operation process, the real-time operation information, including the insertion depth of the vibrating machine/beam, the slant angle of the vibrating beam, and the switching state of the vibrating beam, is monitored in real time, through comprehensive analysis, the effective insertion depth of the vibrating machine/beam is accurately obtained, the effective vibrating time of the vibrating machine/beam is counted, a positioning module is adopted to obtain the operating coordinates of the vibrating machine/beam, so that the vibration quality of a concrete bin face is comprehensively monitored. The intelligent detection method for the vibration effective depth has the beneficial effects that the implementation mode is simple, manual intervention is not needed, the error caused by artificial judgment is solved, the vibrating monitoring process is enabled to be intelligent, and the obtained data is high in precision and stable and reliable. The intelligent detection method is particularly applicable to the large volume concrete vibration quality control of the hydraulic engineering.

The invention discloses a method for manufacturing a digital elevation model by using data of a laser altimeter. The method comprises the following steps of: acquiring elevation measurement data by using the laser altimeter; filtering the elevation measurement data of the laser altimeter; and filtering, and interpolating the laser elevation measurement data subjected to singular point removal, and manufacturing the digital elevation model (DEM) with full moon regular grids. Because full moon data is used, the data accuracy and the resolution of the moon DEM manufactured by using the method are obviously increased by using the filtering and interpolating process.

The invention discloses a two-outside and two-inside measuring method for large-scale aviation digital photography, which comprises the following steps of: 1. carrying out aerial photogrammetry and obtaining photograph control measurement data; 2. acquiring total factor data and marking land features which do not reach the precision requirement of a finished picture during acquisition; 3. drawing, checking and supplementally measuring the data; playing back the total factor data acquired in the step 2 on a drawing base picture, carrying out gradual check and natural determination on the expressed land feature factors, modifying the data with incorrect and unclear expression by a method for marking the positioning distance and the auxiliary positioning data of the land features, supplementing omitted data and supplementally measuring the land feature which does not reach the precision requirement of the finished picture by the drawing method and is marked in the step 2; and 4. compiling data and converting a format. The invention solves the problems existing in the traditional measurement by the two-outside and two-inside operation process, therefore, the measured data has high precision, the photograph has high resolution ratio and the finished picture has high quality, and the measurement cost is reduced simultaneously.

The invention discloses a temperature-controlled unsaturation high-pressure consolidometer, comprising a pressure chamber, a high-pressure loading device, a suction control device, a temperature control device, a digitization measuring device and a data acquisition device, wherein the pressure chamber is disposed in the high-pressure loading device; the high-pressure loading device is used for applying pressure to the pressure chamber; the temperature control device is covered outside the pressure chamber for controlling the temperature of the pressure chamber; the pressure chamber is also connected to the suction control device for controlling the suction of the pressure chamber; the digitization measuring device monitors the pressure, temperature and displacement of a sample, and transmits the data to the data acquisition device connected to the digitization measuring device for processing. In the invention, the high-pressure loading device, the suction control device and the temperature control device are combined to realize the experimental study of soil body change characteristics under a full suction range, and high temperature and high pressure conditions on the basis of the traditional unsaturation consolidometer. In addition, the digital measuring device and the data acquisition device are combined to realize the automatic acquisition of experimental data.

A traffic information extraction and calculation-based method for processing data of license plates comprises four steps: step (1), a vehicle license plate recognition database is established in a computer at a background processing center; step (2), vehicle license plate data, the starting point and the destination of which are designated by a user is initially matched, and a vehicle travel time testing database is established in the computer at the background processing center; step (3), information granules of a route designated by the user is structured, and ambiguous route noises in the vehicle travel time testing database are eliminated according to computer operating procedures, and then a vehicle travel time database of the designated route is acquired; and step (4), by the computer operating procedures, information granules of travel time are structured, and vehicle travel time noises in the vehicle travel time database are eliminated, and then precise travel time is acquired. The method can improve the accuracy of the vehicle travel time data, has important practical value in the field of intelligent transportation, and can be widely applied to situations such as traffic management, monitoring, law enforcement, electronic toll collection, and traveler information service.

The invention discloses a running abnormality self-checking and data transmission system for an autonomous navigation type underwater robot. A technology of combining a running abnormality self-checking and control module based on a digital signal processor (DSP) and 802.11 Ethernet wireless communication is adopted to detect whether the underwater robot runs abnormally, a carried water quality sensor obtains various water quality parameters, and due to real-time detection of the running abnormality self-checking and control module of the DSP, the effective and accurate water quality parameters can be obtained. The running abnormality self-checking and data transmission system is particularly suitable for a water quality detection system which is large in data information due to the facts that the water quality parameters and test points are many and the communication distance is far, and even if the underwater environment is complex or an autonomous underwater vehicle (AUV) is abnormal, a base station can be timely notified so as to make response decisions.

The invention relates to a method for monitoring the effective coverage of concrete vibration in real time, which includes the following steps: a vibrated area is divided into a regular virtual grid according to a set interval; the coordinates of vibrating equipment are acquired by a positioning device in real time; the azimuth of vibration is acquired by an azimuth sensing device in real time, and in combination with the coordinates of the vibrating equipment and vibrated shape data, the effective vibration-affected area of the vibrating equipment is calculated; the effective vibration-affected area is mapped into the virtual grid, and according to whether the effective vibration-affected area is completely covered by the virtual grid, the coverage coefficient of the virtual grid is calculated; and according to the coverage coefficient of the virtual grid, vibration data are statistically analyzed. The method realizes the automatic monitoring of the coverage of concrete vibration, dispensing with manual intervention, and moreover, the method realizes the real-time monitoring of the coverage of vibration, prevents the errors of artificial judgment, and ensures that the process of vibration is more intelligentized, the precision of data is high, and the method is stable and reliable.

The invention discloses a bentonite two-way swelling force measuring instrument, which comprises a fixation bolt, lock nuts, a top cover, a load sensor, stand column screw rods, a toss cap, a press head, an upper piston rod, a pipe connector, a seal ring, an expansion bucket, a water-permeable pad, a heat insulation pad, a heating ring, a strain foil, a temperature sensor, a bentonite sample, a temperature compensation sheet, a lower piston rod, a locating pin, a base, support legs and a data acquisition system. Swelling deformation data is obtained through the data acquisition system, and axial and radial swelling force are measured. The method is safe and simple to operate, and can measure the swelling force of the bentonite sample under a seepage condition or under a thermal environment and seepage dual conditions; and through the high-precision load sensor and the data acquisition system, test process is integrated, and parameters of the axial swelling force and the radial swelling force of the bentonite sample can be accurately monitored or calculated, thereby ensuring very high test precision and result reliability, and providing scientific and reasonable reference for scientific research and engineering application.