36results about How to "Facilitate data fusion" patented technology

The invention relates to a building knowledge mapping database and a construction method thereof. The construction method includes the steps that building data are obtained from one or more data sources and integrated; the building data include building classification class information, building geographic information, building basic information, building owner and user information and crowd searching and label classifying information; the crowd searching and label classifying information is obtained after label classified statistic and index calculation are carried out on the main searching content of crowds in a building; based on the integrated building data, the building knowledge mapping database is constructed; hierarchical classification and structural processing are carried out on the integrated building data; entities in a building knowledge mapping include a building entity, a unit entity, a searching label entity, a searching point location entity and a unit industry entity. The building knowledge mapping database can be beneficial for maintaining and fusing the building data better and effectively using the building data for application programs and data reasoning, and the building data embody matching of the building and audience crowds in the building.

The invention relates to a building monitoring oriented wireless sensor network data acquisition method, wherein sensor nodes used for collecting temperature, humidity and illuminance data are arranged in all the rooms in a building, cluster head nodes collect the perception data of all the sensor nodes in clusters to fuse, each room only has one cluster head node, the sensor nodes perform wireless communication with the cluster head nodes, the cluster head nodes perform wireless communication with a base station device directly or in a multiple hop manner, the base station device aggregates the data in the wireless sensor network to transmit to a building monitoring management platform, and only one base station device is arranged in the wireless sensor network. The data collection method comprises the following steps: 1) forming clusters; 2) processing the data in the clusters; and 3) establishing a cluster head routing protocol. The building monitoring oriented wireless sensor network data collection method can effectively adapt to the building monitoring system and be easy to realize.

The invention discloses a virtual wall system applied to a mobile device and a realization method thereof. The virtual wall system applied to the mobile device comprises a communication module, an interaction module and an obtaining module, wherein the communication module is mainly used for transmitting relevant map information, virtual wall information, positioning information and task information, and achieves a bridge effect; the interaction module is used for setting, adding or deleting virtual wall information in any shape by a user through graphical editing environment, and sends the information to an intelligent moving algorithm processing part; the obtaining module obtains virtual wall information provided by the interaction module, and performs relevant data storage. The system and the realization method have the advantages that additional auxiliary hardware equipment can be produced without additional cost; the use is more convenient, flexible and fast.

The invention relates to an industrial data collection and feedback system based on a wireless sensor network. The industrial data collection and feedback system comprises a host server, a wireless coordinator node, a plurality of wireless route nodes and a plurality of data collection nodes. The industrial data collection and feedback system provided by the invention can flexibly collect various data, such as bar code data, sensing data and equipment data of each important station anytime anywhere, and can transmit the data to a host through a wireless network in time. After the host processes and analyses the data, feedback information is sent to the data collection nodes, so as to guide staff to do corresponding operations, improve generation efficiency and reduce production cost. The industrial data collection and feedback system provided by the invention is simple to operate and convenient and flexible to arrange, can be repeatedly used, and is easy to maintain and expand based on a wireless sensor network technology.

The invention relates to a time synchronization and real-time data acquisition method for a multi-sensor combined navigation system, comprising the steps that time synchronization is realized on the basis of a linux local clock, and real-time modification of a standard linux system is carried out, so that the operating system running on the computing carrier meets the hard real-time requirement; data acquisition and time synchronization are realized, so that the time marks of the data acquired by all the sensors are kept consistent with the standard GPS, then entering a buffer area and fusingthe combined navigation data to prepare the combined navigation data can be carried out; the data acquisition is synchronous with the time, and the implementation mode is as follows: the PPS signal output by the GPS receiver serves as a reference, the local clock of the calculation carrier is corrected, and then the time scale is marked by utilizing the local clock of the calculation carrier as other sensors. Under the condition that additional hardware is not needed, time synchronization precision within 10 ms can be achieved, the requirements of multi-sensor data fusion can be met, and programming is simple, application range is wide, and transplant is convenient.

The invention provides a vehicle autonomous navigation method based on image matching/inertial navigation/odometer. An unmanned aerial vehicle equipped with a ground shooting camera is arranged on a ground vehicle needing to be positioned; a vehicle-mounted inertial navigation/odometer integrated navigation system is started, and whether the unmanned aerial vehicle has a take-off condition or notis judged by a driver under a motion condition of the vehicle; if the UAV has the take-off condition, the UAV takes off autonomously and tracks the vehicle autonomously, photographs the ground and realizes positioning of the ground vehicle by matching the photographed real-time image with a reference image made in advance; a positioning result is obtained and then sent to the vehicle navigation computer for data fusion; and after a vehicle positioning result is obtained, the unmanned aerial vehicle autonomously lands and returns to the vehicle. The invention provides a new navigation scheme, an unmanned aerial vehicle is used for carrying an aerial camera, template matching is carried out on a real-time aerial image and a reference image library, so that geographic coordinates of a vehiclein the real-time aerial image are determined, and an integrated navigation error of an inertial navigation/odometer is corrected according to a matching positioning result.

A potentially small, gimballed, multi-sensor system employs a shared aperture for at least some of the image sensors. Applications include intelligence, surveillance, target acquisition and reconnaissance (ISTAR), and guiding autonomous vehicles. The system can actively blend images from multiple spectral bands for clarity and interpretability, provide remote identification of objects and material, provide anomaly detection, control lasers and opto-mechanics for image quality, and use shared aperture using folded optics.

The invention discloses a building information map construction method. The method comprises the steps of obtaining building data from one or more data sources, and integrating the building data, wherein the building data comprises type information used for building classification, building geographic information, building basic information, building belonging and user information, and crowd search and tag classification information, and the crowd search and tag classification information is information obtained after tag classification statistics and index calculation are performed for main search contents of crowds in buildings; performing standardization processing on the building geographic information; by calling a search interface provided by a map database, searching for the building geographic information subjected to the standardization processing, thereby determining specific positions of the buildings; and by calling a tagging interface provided by the map database, taggingthe integrated building data in the determined corresponding positions of a graphic layer of a map, thereby realizing building information map construction. The building related information can be intensively displayed on the electronic map in a visual, integrated and high-expandability manner.

Embodiments of the invention disclose a data processing method and apparatus, which is used for performing secrecy processing on data used for user portrait drawing to facilitate realization of the user portrait drawing. The method comprises the steps of obtaining business system data; converting the business system data to obtain converted data, wherein the converted data is data having secrecy performance and capable of being used for performing the user portrait drawing; and sending the converted data to a portrait drawing platform, thereby enabling the portrait drawing platform to performthe user portrait drawing according to the converted data. After the business system data of a business system data party is subjected to the secrecy processing, the information leakage of sensitive data of the business system data can be avoided, and the converted data still can be used for the user portrait drawing; and in the portrait drawing platform, the user portrait drawing can be performedaccording to the converted data, and the fusion of the data of the business system data party and data of a portrait drawing service provider is facilitated, thereby realizing the user portrait drawing.

The invention belongs to the technical field of airborne and missile-borne navigation data processing and relates to a core processing circuit design method for a navigation system. The invention discloses a core processing circuit design method for an inertial navigation system based on a multi-core processor. The design method comprises the following steps: 1, designing a core processing circuitof a multi-core processor inertial navigation system based on a domestic multi-core processor FT-Q6713J/500; 2, designing a high-precision temperature sensor acquisition circuit; 3, designing a high-speed data acquisition circuit with high real-time property and high robustness; 4, designing a high-speed 1553B bus circuit; 5, performing health management design on the inertial navigation system.According to the design, the multifunctional highly-integrated core processing circuit for the inertial navigation system is realized.

The invention discloses a wire-controlled chassis track tracking control system and method based on UWB positioning, vehicle real-time positioning data is obtained based on UWB positioning technology,a high-order perturbation filtering method is adopted, and the positioning data and a reference track are subtracted to obtain a control quantity at the current moment, wherein the control quantity comprises transverse position deviation and course angle deviation; two subsystems are decomposed based on an inversion method, namely, a transverse position deviation control subsystem and a course angle deviation control subsystem, the two subsystems form a closed-loop control system, and a wheel rotating angle and a driving moment are calculated according to the control quantity to drive the vehicle to move forwards to finish the tracking of the reference track. According to the invention, good data fusion is carried out between UWB and vehicle track tracking control, and the track trackingcontrol of the invention has good system robustness and safety by using a high-order perturbation filtering method.

A device (1) for fusing image data from a multi-camera system (100) for a motor vehicle includes: an image analysis device (10) configured to define subregions (TB1, TB2, . . . , TBn) of an overlap region (ÜB) of at least two cameras (110, 120) of the multi-camera system; an acquisition device (20) configured to acquire pixel densities of the subregions (TB1, TB2, . . . , TBn) of the overlap region; and a computing device (30) configured to determine pixel density deviations and to select adjacent subregions (TB1, TB2, . . . , TBn) with deviations below a threshold value for a total image overlay.

The invention discloses a method for conversion between coordinate systems of two independent systems based on quaternion. The method includes a conversion parameter calibrating process and an information conversion process, wherein the conversion parameter calibrating process includes the steps of fixing markers of the two independent systems, retaining the markers to be relatively still, rotating the markers, obtaining the positional information and space attitude information of the two markers during the motion process, converting the obtained positional information and space attitude information into quaternion, and estimating the conversion parameter with least squares. The information conversion process includes the steps of obtaining the positional information and space attitude information of the marker of one system, converting the obtained positional information and space attitude information into quaternion, and calculating the positional information and space attitude information of the marker in the other system according to the estimated conversion parameters. The conversion of positional information and space attitude information of two systems is possible, which facilitates subsequent data fusion. Calculation is simple and fast, and no extra measuring instrument is needed.

The invention relates to a distribution network project equipment portrait index evaluation system and evaluation method, and belongs to the technical field of power grid power distribution. The structure of the invention comprises an original data layer, a fact label layer, a model label layer and an intelligent prior label layer. The original data layer is connected with the fact label layer; the model label layer is connected with the fact label layer, and the intelligent prior label layer is connected with the model label layer. The system and method have the beneficial effects that the mining direction and path of the equipment data value are explored, and full mining and application of the data value in the field of equipment management are realized. On the other hand, data fusion and data governance among professionals are promoted, and on the basis of a data mining technology and a tag portrait technology, tagging management and holographic portrait display of the equipment are realized, the health state of the equipment is accurately grasped, and the basic effect of the equipment portrait is exerted; development decisions such as power grid planning design, investment transformation, equipment operation, equipment maintenance and decommissioning work are supported in an auxiliary mode, and the utilization efficiency of power grid equipment is improved.

The sensor includes a body case composed of a probe head and a cavity connected to the head, as well as a temperature-sensing element, four pieces of pressure sensor, a temperature-sensing circuit and a pressure induction circuit, which are setup inside the cavity. There is a mounting hole on an end face of the probe head; and the temperature-sensing element is setup on the mounting hole. There are four holes in intervals for liquid to flow in or out on the end face of the probe head; and pressure sensors are set up at these holes respectively. The disclosed temperature - pressure sensor simplifies manufacturing structural technique. Parameters of temperature and pressure are collected at same position so as to guarantee position identity of measured point. It is in favor of carrying out interfusion and compensation of data of each parameter.