160 results about "Distance analysis" patented technology

The invention provides a power transmission line intelligent inspection system based on LiDAR and further provides a power transmission line intelligent inspection method based on LiDAR. The power transmission line intelligent inspection system comprises a three-dimensional quantifying information acquiring unit, a three-dimensional rebuilding unit and an intelligent inspection analysis unit. The three-dimensional quantifying information acquiring unit is suitable for acquiring power transmission equipment actual space three-dimensional quantifying information and power transmission line peripheral environment ground feature three-dimensional quantifying information, namely, point cloud data provided by LiDAR; the three-dimensional rebuilding unit is suitable for three-dimensional rebuilding of a power transmission line body and a corridor based on power transmission equipment actual space three-dimensional quantifying distribution information and power transmission line peripheral environment ground feature actual three-dimensional quantifying information; the intelligent inspection analysis unit is suitable for carrying out safety distance detection based on three-dimensional rebuilding results, carrying out safety distance analysis according to safety distance detection results and power transmission line safety standards and pointing out power transmission lines not catering to the safety standards or giving an alarm about the power transmission lines not catering to the safety standards. By means of the power transmission line intelligent inspection system and the power transmission line intelligent inspection method, requirements for line inspection data and function digitalization, standardization and visualization are achieved.

In accordance with the teachings described herein, systems and methods are provided for analyzing transactional data. A similarity analysis program may be used that receives time-series data relating to transactions of an organization and performs a similarity analysis of the time-series data to generate a similarity matrix. A data reduction program may be used that receives the time-series data and performs one or more dimension reduction operations on the time-series data to generate reduced time-series data. A distance analysis program may be used that performs a distance analysis using the similarity matrix and the reduced time-series data to generate a distance matrix. A data analysis program may be used that performs a data analysis operation, such as a data mining operation, using the distance matrix to generate a data mining analysis of the transactional data.

The present invention proposes a method for analyzing overlapping coverage of LTE cells based on MR data, including collecting MR data, obtaining LTE MR data files and cell information tables; Respectively form overlapping coverage adjacent cell pairs with the main cell, and calculate the weight of overlapping adjacent cell pairs according to the signal points of overlapping adjacent cells, sort and determine the priority of overlapping coverage cells and then screen them, and analyze the coverage distance of cells that have passed the weight screening to determine High overlapping coverage cells to be optimized; multi-factor correlation analysis, including weak coverage correlation analysis, useful signal proportion analysis and user concentration correlation analysis. The technical scheme of the present invention can more accurately locate problem cells, and can put forward more reasonable optimization suggestions, and can perform all-round inspection and troubleshooting of overlapping coverage cells.

The invention relates to a logistic goods location notifying system and a working method thereof. The logistic goods location notifying system comprises embedded terminals arranged on goods packaging bags of an express company, and a cloud terminal service platform arranged on a cloud terminal server of the express company, wherein each embedded terminal has a unique terminal identity identification code, and is in communication connection with the cloud terminal service platform through a communication terminal. A GPS and GSM dual-positioning technology is adopted in the embedded terminals, when goods are out of a door, the goods are accurately positioned through receiving a GPS satellite signal; when the goods are in a room which can not receive the GPS satellite signal or underground, a position of a base station near the goods is immediately positioned and obtained through a GSM for being roughly positioned, therefore, the goods are continuously positioned in the whole course in a conveying process; and the cloud terminal service platform judges whether the goods reach near a receiver though a built-in distance analysis unit, and when the goods are about to reach, a receipt notice is automatically sent to the receiver. The invention can be widely applied to the field of express logistics.

The invention relates to the technical field of radars, in particular to a multi-beam scanning device and a multi-bean scanning method. The device comprises a signal transmitting unit 10, a fist optical unit 201, a second optical unit 202, a signal receiving unit 30 and a distance analysis unit 40. The multi-beam scanning device and the multi-bean scanning method provided by the invention are in a diffraction-based laser radar scanning mode; a fixed diffraction grating is used; the scanning of a laser radar is realized by changing a diffraction angle by changing laser wavelength; a mechanical movement part can be avoided in the mode; the scanning angle is wide, for example, the scanning angle can reach +/-4 degrees; the scanning speed is high, for example, the scanning speed can exceed 10 kHz, and meanwhile, the reliability is greatly improved.

A smart home system is disclosed which comprises a central camera system; a voice IP unit; a user identification system; a behavioral pattern data server; a plurality of sensors electrically coupled to operate each device based on the distance analysis with respect to each user; a central processing unit; a habit learning unit configured to analyze, interpret, and form a habitual usage profile for each user; and a central switching unit configured to operate each device following instructions from the central processing unit and the habit learning unit.

An optical apparatus for measurement of industrial chemical processes. The analyzer uses Raman scattering and performs measurement of chemical concentrations in continuous or batch processes. The analyzer operates at a standoff distance from the analyte (or analytes) and can measure concentrations through an optical port, facilitating continuous, non-destructive, and non-invasive analysis without extracting the analyte or analytes from the process. The analyzer can measure one or several solid, liquid, or gaseous analytes, or a mixture thereof.

The invention relates to a boost phase generalized standard miss distance analysis guidance method. The method comprises steps that 1, boost phase guidance problem modeling is carried out, including standard ballistic movement modeling, guidance correction first-order perturbation modeling and terminal constraint modeling; 2, boost phase standard ballistic regular perturbation solution modeling is carried out; 3, boost phase standard ballistic zero-order item analysis solution on the basis of regular perturbation is carried out; 4, boost phase standard ballistic first-order item analysis solution on the basis of regular perturbation is carried out; and 5, boost phase optimal guidance instruction solution on the basis of the standard miss distance is carried out. Through the method, zero-incidence is taken as boost phase ballistic standard control, analysis solution is carried out by employing a regular perturbation method, and thereby an analyzed standard miss distance is acquired; an optimal control method is employed to solve a guidance instruction of the correction standard miss distance, and thereby a non-linear analysis optimal guidance method satisfying boost phase task demands is acquired.

The invention discloses a commercial district division method based on cost distance grids. According to the method, spatial commercial activity elements are selected and constructed, cost grids are formed through symmetric difference processing, and cost values of grid units represent prices for crossing the units; and meanwhile, a continuous field model is used to express geographic spaces of the grids, distribution grids are obtained through analytical calculation of cost distances, and therefore commercial district division is realized. The method comprises the steps that multiple spatialcommercial activity elements are selected and constructed; the symmetric difference between the commercial activity elements is calculated, and regular grid data is obtained to serve as a cost layer needed for cost distance grid operation; a source layer of a to-be-divided commercial district is selected; each cost distance grid is calculated; and the commercial district is divided according to the distribution grids. Through the technical scheme, needed detailed data components within the commercial district can be provided during site selection and shop setup; and macro decision-making technical support such as commercial district development planning, layout and commercial development potential area analysis can also be provided.

The invention provides an operating distance analysis method on the basis of a space-based infrared detection system. A movement track of an infrared moving object is modeled, and thermodynamic analysis and temperature distribution simulation are carried out on the modeled infrared moving object; the infrared radiation amount of the infrared moving object is calculated and obtained according to a result of temperature distribution simulation of the infrared moving object; the infrared radiation amount in the atmosphere transmission process is calculated and obtained; and the radiation energy, of the infrared object, received by an area-array staring detection system, reaching an expected using effect is calculated and obtained, namely, the maximal operating distance that can be detected by infrared detection system for the infrared moving object is obtained. The detection accuracy and instantaneity of the infrared moving object are improved, and searching, detecting and tracking for the infrared moving object can meet requirements.

The invention relates to a method and a circuit arrangement for deciding a symbol upon reception of a signal coupled with a quadrature signal pair, wherein the decision is made through analysis of the distance between at least one reception point and at least one nominal point in the complex space. In order to improve the pull-in regions or decision regions in the case of higher-quality modulation methods even in the region of larger radii, it is proposed that the distance be analyzed in the non-Cartesian or not exclusively Cartesian complex phase space, the complex signal being transformed for distance analysis in the preferably polar coordinate space (R, α) as non-Cartesian complex phase space.

A method and a computer software program for operating a smart home system including a sensor electrically coupled to each device, a central processing unit (CPU), and a data storage is disclosed that includes the steps of receiving attributes of a user, calculating a distance between the user and a device, performing a distance analysis, forming a habitual usage profile using a sequence pattern data mining algorithm, and sending a habitual usage command in accordance with said habitual usage profile.

The invention relates to a common-tower double-circuit T-type power transmission line fault distance measurement method based on positive sequence current difference. The method is characterized in that firstly, a current transformer at a protection mounting portion is utilized to acquire each phase current data of three ends of a double-circuit T-type power transmission line system, and a positive sequence current component of a double-circuit line is solved through a symmetric component method; secondly, distance measurement functions of the three branches are calculated according to the positive sequence current component of the double-circuit T-type power transmission line, and a fault branch can be determined according to difference of the distance measurement functions of two ends of each branch; and lastly, a fault distance analysis expression is utilized to calculate a fault distance on a fault branch.

The invention relates to a calibration method for a printer having a mechanism for advancing a medium in a direction of media advance comprising the following steps: a- providing a printhead, the printhead having a swath height in the direction of media advance; b- providing an estimate of either the swath height or the characteristic of the mechanism; c- printing a base pattern on a medium using the printhead; d- printing an overlay pattern on the medium using the printhead to form an interference pattern; e- advance the medium of a predetermined distance using the mechanism at a time between the printing of the base pattern and the printing of the overlay pattern; f- analyze an optical evaluation of the interference pattern; g- evaluate as either: i- the swath height if the characteristic of the mechanism is known or estimated; or ii- the characteristic of the mechanism if the swath height is known or estimated.

The invention discloses an optical flow gradient amplitude characteristic-based subtle facial expression detection method and relates to processing for identifying a graphic recording carrier. According to the method, face edges are obtained by means of fitting according to face key points, and a face region of interest is extracted; an optical flow field between face image frames in a video sequence is extracted by using a FlowNet2 network; the optical flow gradient amplitude characteristics of the face region of interest are extracted; characteristic distances are calculated and processed, and noise elimination is carried out; and therefore, subtle facial expression detection based on the optical flow gradient amplitude characteristics is completed. According to subtle facial expressiondetection in the prior art, subtle facial expression motion cannot be captured in extracted face image motion features; the features contain excessive interference information, and as a result, the subtle facial expression detection is susceptible to the influence of head deviation, blinking motion, accumulated noise and single-frame noise in feature distance analysis. However, with the method adopted, the above defects in the prior art can be eliminated.

The invention provides a fault distance measuring method for hybrid transmission lines based on unknown parameters. A hybrid transmission line includes a section of overhead line and a section of cable line. The fault distance (x) is obtained by eliminating the influence of the positive sequence impedance per unit length of the overhead line, the negative sequence impedance per unit length of theoverhead line, the positive sequence impedance per unit length of the cable line and the negative sequence impedance per unit length of the cable line in the hybrid transmission line. The fault distance measuring method has the advantages as follows: (1) the principle is reliable, and the precision of distance measurement is high; (2) the method is clear, the equation is solved without pseudo root, and a specific fault distance analysis formula is given; and (3) the value of practical application on an engineering site is high.

The invention provides a plane sight distance analysis method based on AutoCAD. The method comprises the steps that the drawing environment of CAD software is initialized; a viewpoint trajectory curve is generated, wherein the linetype entity of the curve is a polyline; the starting point and the end point of the viewpoint trajectory curve and the total length parameter of the viewpoint trajectory curve are acquired; parameters which comprise the sight distance envelope line fitting accuracy, the driving sight distance and the sight line generation spacing are input into an interactive interface; the starting point and the end point of the first set of straight lines are acquired; the number of cycles is set and T corresponding cycles are carried out to successively acquire all driving sight line intersections, and the driving sight line intersections are successively stored into a list; a drawing layer in CAD software is set as a sight distance curve; and a Pline command in CAD software is used to restore all intersections in the list to acquire a sight distance envelope line. According to the invention, the method makes full use of the computing ability and the drawing function of a computer; the design quality is improved; the safety of road operation is ensured; and the method is easy to learn and use, has the advantages of fast execution speed and the high flexibility, and is suitable for the engineering design.

The present invention discloses a traffic accident responsibility determination system based on machine learning, and relates to the technical field of traffic accident responsibility determination. The system comprises a traffic information interaction center, an image processing system and an accident responsibility analysis system. The traffic information interaction center comprises an image character receiving module and a determination result sending module; the image processing system comprises an image loading module, a color extraction module, a contour extraction module, a Gaussian Blur module and a distance analysis module; and the accident responsibility analysis system comprises a feature case search module and a comparison computing module. The traffic accident responsibilitydetermination system based on machine learning allow a reporter to replace the traffic police to perform photograph and evidence collection of a scene of a traffic accident and pass back informationin real time for responsibility analysis and determination so as to effectively reduce the time of scene measurement evidence collection, analysis and determination, is high in efficiency and accuratein determination, reduce human subjective factors, can recover the traffic as soon as possible and can avoid traffic congestion.

The invention provides a safety protection device used for a full-height safety door and aims to overcome defects in the prior art. The safety protection device comprises a laser emitter, a laser deflector, a laser signal receiver and an analyzing and processing unit, wherein the laser emitter emits a directional laser signal to the laser deflector; the laser deflector is used for deflecting the directional laser signal by a preset angle and forming at least one laser scanning sector; the laser signal receiver is used for receiving a returned laser signal; the analyzing and processing unit comprises a trigger distance analyzing module, a scanning zone adjusting module and a scanning signal analyzing module; the trigger distance analyzing module is used for analyzing distance information of the distance between a trigger point and a safety protection device body; the scanning zone adjusting module is used for adjusting the zone contour generating an effective feedback signal in the laser scanning sectors; and the scanning signal analyzing module forms a safety door control signal according to the trigger point distance information obtained by the trigger distance analyzing module.