653results about How to "Data processing is simple" patented technology

A flying vehicle guiding system, which comprises a remotely controllable flying vehicle system, a surveying instrument being able to measure distance, angle, and track, and a ground base station for controlling a flight of the flying vehicle system based on measuring results by the surveying instrument, wherein the flying vehicle system has a retro-reflector as an object to be measured, wherein the surveying instrument has a non-prism surveying function for performing distance measurement and angle measurement without a retro-reflector, a prism surveying function for performing distance measurement and angle measurement with respect to the retro-reflector, and a tracking function for tracking the retro-reflector and for performing distance measurement and angle measurement, wherein the surveying instrument performs non-prism measurement on a scheduled flight area, the ground base station sets a safe flight area based on the results of the non-prism measurement, and controls so that the flying vehicle system flies in the safe flight area based on the results of tracking measurement by de surveying instrument.

A Radio Frequency Identification (RFID) system that tracks tags in real-time based on EPC codes and on other priority codes written into transponder memory fields of the tags. As an example, a priority code may be written into a memory of an RFID transponder identifying a high-value item or a small high-value item that is likely to be stolen. Based on the use of this priority code, those items can be preferentially tracked as opposed to items of low value or size such that they are unlikely to be stolen. Such use of priority codes and local filtering alleviates the need to go back to large centralized databases associating unique numbers with other parameters and potentially the history of the item.

A mobile galvanometer selective laser melting (SLM) forming device comprises a numerical-control system which is connected with an X-axis linear motor with a transverse lead rail group and a Y-axis linear motor with a longitudinal lead rail group through a communication circuit, the X-axis linear motor and the Y-axis linear motor form a scanning drive structure, the scanning drive structure is connected with a laser expanding collimation lens group in a drive way, a galvanometer unit is clamped into the bottom of the laser expanding collimation lens group, a forming working assembly is arranged below the galvanometer unit, and an inert gas curtain is arranged between the forming working assembly and the galvanometer unit. Due to the adoption of the mobile galvanometer SLM forming device, the defects that spots are formed on the edge of a forming area, the forming precision is poor and the size of a formed piece is easy to increase can be avoided.

The invention discloses a left and right foot dynamic recognition method based on plantar pressure distribution information. The method includes the steps of plantar pressure data filtering, plantar pressure data clustering, single-step footprint image processing and left and right foot dynamic recognizing. An improved type IMF filtering algorithm is adopted for the plantar pressure data filtering. A K-means clustering algorithm is adopted for the analysis on the plantar pressure data clustering. The single-step footprint image processing includes the substeps of footprint image bilinear interpolation amplification, median filtering, morphological processing and the like. The left and right foot dynamic recognizing is achieved by conducting judgment on the basis of the extreme value distribution situations of fitted footprint profile curves and footprint width curves. By means of the method, plantar pressure data can be processed and analyzed in real time, and gait feature parameters in the walking process are calculated according to the starting and stopping time of each step of a footprint sequence. The method is simple, the recognition speed is high, the recognition accuracy is high, high robustness is achieved, and the method can be applied and popularized in hospitals, rehabilitation organizations and colleges, universities and research institutions working on related gait research.

The invention discloses an air conditioner and an air-out control method thereof. The air-out control method comprises the following steps: (1) controlling an infrared sensor of the air conditioner to carry out rotatable scanning operation with the purpose of obtaining temperature information, (2) generating the temperature curve of an indoor heat source based on temperature information, (3) determining the distance between the position of the heat source and the air conditioner, (4) performing air-out control over the air conditioner based on the position of the heat source and the distance between the heat source and the air conditioner. Without requiring an array infrared sensor, the control method is simple and easily applied. The invention further discloses the air conditioner.

The invention discloses a road-network traffic jam discrimination method based on a macroscopic fundamental diagram. The method comprises the steps that 1) the road network is divided into traffic cells; 2) the macroscopic fundamental diagram of the traffic cells is drafted; 3) critical points of jamming levels are defined in the macroscopic fundamental diagram, and a traffic jamming state is defined; 4) jamming levels of the traffic cells are determined; and 5) the jamming state is output. According to the method, the related data bulk is low, data processing is simple, the jamming state discrimination speed is high, the method can be used to discriminate the jamming state of areas of different ranges and sizes, and the traffic cells are merged and decomposed flexibly to change the jamming discrimination range rapidly.

The invention provides a mobile positioning terminal LE (logic element); a master control unit controls a positioning measurement unit to carry out positioning measurement in a timing manner according to a positioning strategy, and controls a wireless communication unit to be accessed into a wireless network and to report the positioning measurement result, wherein the positioning measurement comprises inertial navigation measurement of a GPS (global positioning system) and wireless network parameter measurement. The LE also comprises a wireless sensing unit realized by adopting a short-distance wireless technology, and the matched wireless sensing unit can detect and read a stored LE identification number ID-1 automatically. In the terminal provided by the invention, no complex data processing is needed, the power consumption is low, various positioning value-added services can be favorably developed, and particularly, the positioning services with requirements of low power consumption and hidden nature to the LE can be favorably developed.

The invention provides a tool wear state detection method and apparatus based on a convolutional neural network and a terminal device. The tool wear state detection method based on the convolutional neural network includes the steps that a tool wear state prediction model which is trained in advance and built based on the convolutional neural network is obtained; a sense data sequence collected inthe cutting process of a target tool is obtained, wherein the sense data sequence includes sense data collected according to the time sequence; and based on the sense data sequence, the wear state ofthe target tool is predicted through the tool wear state prediction model. By means of the tool wear state detection method based on the convolutional neural network, complex time-frequency domain characteristics do not need to be extracted, the data processing process can be effectively simplified, and efficiency can be improved; and meanwhile because the sense data sequence includes the sense data collected according to the time sequence, prediction of the tool wear state can be achieved on the basis of the internal sequence characteristics, and accuracy can be effectively improved.

The invention relates to a TOF depth camera three-dimensional coordinate calibration device and method based on a virtual multi-cube standard target. The device comprises a three-dimensional motion horizontally-moving platform, a TOF depth camera, a cubical target and a background board. The calibration method includes the steps that three orthometric one-dimensional motion horizontally-moving platforms move repeatedly in the three-dimensional direction, the virtual multi-cube standard target of a complex shape and with multiple feature points is formed, the space position and the three-dimensional measured coordinates of a target angular point can be accurately obtained, and high-precision three-dimensional coordinate calibration of the TOF depth camera is achieved. By means of the TOF depth camera three-dimensional coordinate calibration device and method, target angular point feature recognition difficulty of the TOF depth camera and measurement errors each time are greatly reduced, three-dimensional measurement precision of the TOF depth camera is improved, the angular point position and the number of feature points of the virtual multi-cube standard target can be set flexibly, and full-process high-precision automatic calibration is achieved easily.

The invention provides a three-dimensional road generating system and method for the technical field of navigation. The system comprises a projection module, a data analysis module, a road modeling module and a three-dimensional road surface generating module, wherein the projection module is used for converting the obtained road longitude and latitude coordinate into a geodetic coordinate, the data analysis module is used for clipping attribute data of the road and the geodetic coordinate to form the linear data of the road, the road modeling module is used for analyzing the linear data and judging whether the dual-digitalized combination can be performed, if so, performing the dual-digitalized combination to form facet data; the three-dimensional road surface generating module is used for extracting the road axis according to the facet data to generate the three-dimensional rod surface. By analyzing the linear data of the road, the dual-digitalized combination is performed to form facet data, the data processing procedure of generating the three-dimensional surface is simplified, and the vivid three-dimensional urban road map is realized by using low cost and low workload.

The invention relates to an optical axis parallelism calibrating system and a calibrating method. The optical axis parallelism calibrating system includes an auto-collimation theodilite, a data processing computer, and a plane mirror used for auto-collimation for the auto-collimation theodilite, wherein a to-be-tested optical system is arranged on an emitting light path of the auto-collimation theodilite, and is electrically connected with the date processing computer. The optical axis parallelism calibrating system and the calibrating method provided by the invention have the advantages of high testing precision, excellent real-time performance and wide application range.

The invention relates to a method for non-contact measuring the center to center distance of lens optical surfaces and a measuring device. In the invention, emergent light form a wideband light source generates an interfere signal through an interference structure; two-dimensional chromatography images of the optical surfaces in the lens can be obtained through the sampling and image reconstruction for the interference signal; a thin parallel light beam is used in a sample arm as a scanning light beam, the starting position of the related chromatography imaging can be changed through moving an optical fiber collimating device, and further the characteristic images of all the optical surfaces with different depth in the lens can be obtained; and finally, the center to center distance between the two optical surfaces can be obtained as per the positions of the optical surfaces in the characteristic images and the moving distance of the imaging starting position. The invention has the advantages of non-contact nondestructive measurement, high measuring accuracy and simplicity in data processing, and can be widely applied in the fields such as optical processing, optical alignment and optical detection.

The invention discloses a finite element model correction method for a large-span steel bridge based on a uniform temperature response monitoring value, and the method comprises the following steps: 1), carrying out the analysis of yearly monitoring data of the large-span steel bridge, and finding a response law of a structure under the action of a uniform temperature field; 2), building a preliminary finite element model according to design data; 3), preliminarily determining the horizontal rigidness of a steel bridge supporting seat through employing an iteration method; 4), carrying out the sensitivity analysis of the large-span bridge based on the temperature response data of the large-span bridge, and determining a design variable with the higher coefficient of association with actual measurement data; 5), carrying out the optimization analysis of a large-span bridge finite element model through reducing the difference between a finite element model calculation result and the actual measurement data. Compared with a commonly used finite element model correction method based on a power response result (test modal data), the method is simple and accurate, is lower in cost, and is good in safety.

The invention provides an autonomous mobile intelligent robot which is provided with a mobile body, a rotating wheel driven by a motor, a power supply management module, more than one set of ultrasonic ranging modules, a motor control module and a master control module. The rotating wheel is assembled on the mobile body. The power supply management module, the ultrasonic ranging modules, the motor control module and the master control module are arranged on the mobile body. The power supply management module is electrically connected with the ultrasonic ranging modules and the master control module respectively. The ultrasonic ranging modules are connected with the master control module. The master control module is connected with the motor control module. The motor control module is connected with the motor. The autonomous mobile intelligent robot is also provided with an infrared tracking module which is electrically connected with the master control module. The autonomous mobile intelligent robot has characteristics of low cost, simple data processing and rapid reaction.

The invention discloses a group relationship type identification method and apparatus, and belongs to the field of data mining analysis. The group relationship type identification method comprises thesteps of receiving a group relationship type identification request; obtaining group information corresponding to the request; according to predefined target data fields, extracting target data corresponding to members in a group from the group information, thereby forming personal data sets; inputting the personal data sets to a group classification deep neural network model, wherein the group classification deep neural network model is obtained by training according to the predefined target data fields; and according to an output result of the group classification deep neural network model,determining a relationship type of the group. According to the technical scheme, the relationship type of the group can be identified through simple preprocessing operation and the group classification deep neural network model in combination with the data mining analysis technology, so that the manpower cost required for obtaining earlier stage features is reduced, the deployment and building complexity of the model is low, and the universality of the model is high.