162results about How to "Accurate and efficient calculation" patented technology

Enabling innovative merchant transaction pricing capability, while improving pricing process efficiency, is disclosed. When a merchant submits financial transaction account records to a payment processor for payment, the payment processor utilizes granular transaction data to calculate complex merchant transaction pricing rules. The system accesses individual transaction data, aggregate transaction data, transaction history, customer data, merchant data and product data to enable flexible, innovative and dynamic pricing capabilities that increase revenue and increase customer satisfaction.

The invention relates to a binocular vision positioning method for target grabbing of an underwater robot, and belongs to the field of computer vision. The method is mainly used for accurately acquiring three-dimensional information of a grabbed target when an underwater robot works. The method comprises the following steps: double-target positioning: calculating internal and external parameters of left and right cameras; target detection: positioning a target object detection frame; binocular image correction: carrying out distortion correction and stereo correction, and determining a right image target area; binocular image stereo matching: extracting image feature points, describing the feature points, performing stereo matching, and removing mismatching; and calculating the three-dimensional information of the target in the image under the left camera coordinate. According to the method, the accurate parallax value is obtained by extracting feature points, removing unstable featurepoints through non-maximum suppression, constructing a binary descriptor, matching the feature points and removing mismatching. Through the scheme, the binocular stereo matching robustness can be improved, and meanwhile, the three-dimensional information of the detection target can be accurately obtained, so that the real-time positioning requirement on the target when the underwater robot grabsthe target is met.

The invention relates to a multi-support shafting finite element method with bearing stiffness coupling nonlinearity considered. The method comprises the steps of (1) establishing a local coordinate system of each bearing and obtaining a six-freedom-degree bearing stiffness matrix of each bearing under the corresponding local coordinate systems through calculating by means of the difference method with a corresponding bearing load calculation formula; (2) dividing a shaft into different shaft sections according to the difference of diameters, establishing nodes at the positions of bearing section starting positions, the bearing installation position and load action positions, then establishing finite element models of the shaft between the nodes, and obtaining a stiffness matrix of the whole shaft; (3) establishing a global coordinate system of a shafting, establishing another node at the bearing installation position to be used for simulating a fixed end, integrating the bearing stiffness matrix onto the installation node and the corresponding fixed end node on the shaft to obtain the overall stiffness matrix of the shafting, and establishing the stiffness equation of the shafting; (4) restraining the freedom degrees in six directions of the fixed end node, restraining the freedom degree, of rotating around the axis, of the node at the position of origin of the global coordinate system of the shafting, reducing the stiffness equation of the shafting according to restraining conditions, and solving the reduced stiffness equation of the shafting with the Newton-Raphson method in an iterative mode to obtain the displacement and load of each node.

The invention discloses a calculation method for the availability ratio and optimal repair cycle of a relay protection device. The calculation method for the availability ratio comprises the following steps: establishing a mathematical model of the reliability of the completeness of the repaired relay protection device and determining a parameter of the mathematical model; obtaining a reliabilitycalculation formula of the repaired relay protection device according to the distribution function of the service life of the relay protection device; determining a failure distribution function according to the effect of fuzzy uncertainty on the relay protection device; and calculating the availability ratio of the relay protection device according to the fault distribution function. The calculation method for the optimal repair cycle is implemented by calculating the availability ratios A (T) of the relay protection device in different repair cycles T according to the calculation method forthe availability ratio of the relay protection device to find out the maximal availability ratio A (T) of the relay protection device, therefore, the repair cycle corresponding to the maximal availability ratio A (T) is the optimal repair cycle of the relay protection device. The invention can make the calculations of the availability ratio and the optimal repair cycle of the relay protection device more accurate.

The invention relates to a calculation method for driving axle gear dynamic characteristics considering a main speed reducer housing. The calculation method comprises the steps of (1) defining an overall coordinate system, (2) building an axis finite element model, (3) building a nonlinear bearing model, (4) building a gear mechanical model, (5) building a dimension reduction finite element model of the main speed reducer housing, (6) building a static model of a driving axle main speed reducer gear transmission system, (7) calculating bearing stiffness formed during static balance, (8) building a dynamic model of the driving axle main speed reducer gear transmission system, (9) calculating natural vibration characteristics of the driving axle main speed reducer gear transmission system, and (10) calculating the driving axle main speed reducer gear dynamic characteristics. According to the calculation method for the driving axle gear dynamic characteristics considering the main speed reducer housing, the gear transmission system dynamic model comprising the main speed reducer housing is built through a finite element method and a modal comprehensive method, the mutual effect of the main speed reducer housing and the transmission system is considered, the driving axle gear dynamic characteristics considering the effect of the main speed reducer housing can be accurately and efficiently calculated, and the calculation method can be widely applied to calculation and analysis of the dynamic characteristics of various gear transmission structures comprising housing bodies.

The invention discloses a determination method for magnitude and direction of a crustal stress. The determination method comprises the following steps: arranging three strain rosettes in the peripheral direction on an epoxy resin hollow inclusion for measuring the stress, wherein the included angle between adjacent strain rosettes is 120 degrees, four strain gages are arranged on each strain rosette, and the strain gages on each strain rosette are arranged by rotating 45 degrees in sequence; carrying out pore-forming; carrying out hole flushing; carrying out installation of a stress gage: feeding the hollow inclusion into a measuring hole in an orientation mode, so that the gap between the stress gage and a rock drill hole is filled with a binding agent; carrying out stress relieving: after the binding agent is solidified, carrying out drill relieving by using a diamond drill bit sleeve, and adopting the strain gage to record data in the relieving process according to the relieving depth in the test process. According to the determination method, twelve strain values of difference directions in the peripheral direction are utilized, so that the crustal stress and the stress direction can be accurately and effectively calculated, extremely effective help is provided for guiding mine construction, and the mine safety is further improved.

The invention relates to a drive axle dynamic characteristic computing method considering input torque changing. The method comprises the steps that (1) a drive axle global coordinate system is defined; (2) a shafting beam unit model is established; (3) a nonlinear roller bearing model is established; (4) a gear model is established; (5) a connecting part model is established; (6) a shell finite element model and a dimension-reducing model are established; (7) a complete drive axle system dynamics model is established; (8) bearing stiffness under different input torque working conditions is computed; and (9) the drive axle system dynamic characteristics under different input torque working conditions are computed. According to the method, a finite element method and a modality comprehensive method are used for establishing the complete drive axle system dynamics model which comprises a main speed reducing assembly, a differential mechanism assembly, a hub assembly, a shell and the like, and the dynamic characteristics of a drive axle system can be computed accurately and efficiently.

The disclosure presents a system, method, and computer readable medium for computing network latencies. Network devices using flow processors create network traffic summary information in the form of flow records. A harvester may gather, process, and analyze flow records to find matching flows. Using matching flows, a harvester computes the latency, either one-way or round-trip, between two devices on the network. This information may be exported or stored on other devices on the network. The teachings of the present disclosure enable wide network coverage through the use of existing network traffic summary records. Further, the present disclosure mitigates network slowdowns associated with monitoring equipment. The present disclosure also reduces or eliminates the need for clock synchronization between devices on the network.

The invention provides a method and a device for simulating a power electronic system in order to solve the problem of low speed of power electronic system simulation in the prior art. The method comprises the following steps of: calculating variation of a topological structure caused by starting and stopping operation of a simulation system by using a Petri Net matrix model; updating a state equation of a continuous sub system of the simulation system according to information of the variation of the topological structure; and calculating the state equation of the continuous sub system to determine a value of a state variable of the simulation system. By using the technical scheme, the power electronic system simulation can be carried out efficiently.

The invention provides a vehicle detection method, device and system based on video monitoring, and a server. The detection method is applied to the server. A plurality of parking areas are divided inadvance; each parking area is correspondingly provided with at least one camera; the cameras are used for collecting images in visual field ranges of the cameras; and the cameras are in communicationwith the server. The vehicle detection method comprises the following steps of receiving the images sent by the cameras corresponding to the parking areas; preprocessing the images; and according toa preset target feature library, analyzing the preprocessed images, and calculating parking numbers in the parking areas according to analysis results. The images shot by the cameras arranged in the parking areas are compared and analyzed through the target feature library, so that the vehicle parking numbers in the parking areas can be accurately and effectively calculated.

An image processing apparatus capable of eliminating noise from a digital image with edges maintained intact. The apparatus includes: an input means for accepting a digital image; a noise amount determination unit for determining the amount of noise in the digital image, and setting noise elimination power; a noise suppression unit for eliminating the noise from the digital image based on the noise elimination power; and an output means for outputting the noise suppressed digital image. The noise amount determination unit includes: a chrominance component separation unit for separating chrominance components from the digital image; a frequency transformation unit for transforming each of the separated chrominance components into the frequency domain; and a noise elimination power setting unit for calculating the amount of noise in each chrominance component transformed into the frequency domain, and setting the noise elimination power according the calculated amounts of noise.

The invention discloses a regional power grid carbon emission management method suitable for a new energy connection background. The method comprises the steps that S1, a regional carbon emission management model is established; S2, probabilistic flow based on a stochastic response surface method (SRSM) is adopted to calculate power grid flow distribution containing multiple associated new energy power stations; S3, an imperialistic competitive algorithm is adopted to solve the multi-target regional carbon emission management model to obtain a Pareto non-inferior solution set; S4, a penalty function is introduced to check and adjust obtained Pareto solutions, and node voltage limit exceeding or branch overloading is avoided; S5, an interactive satisfaction decision making method is utilized to select an ''optimal solution'' of the model from the Pareto solution set according to different demands of system operating personnel; and S6, comprehensive benefits of different schemes are evaluated by changing settings of new energy power station connection locations and all objective function reference memberships. Through the method, comprehensive management of practical power system carbon emission can be realized, and a new thought is provided for evaluation of address selection schemes of new energy stations.

The invention discloses a spatio-temporal data based moving object similarity calculation method and system. The method is to discover similarity of moving objects by mainly utilizing the track data of the moving objects such as pedestrians and users based on information such as positions and paths of the activities of the moving objects. The spatio-temporal data based moving object similarity calculation method comprises two parts as follows: the first part of sequencing spatio-temporal tracks by utilizing a pre-defined activity hotspot and converting an original track point sequence into an activity sequence; and the second part of discovering an activity rule of the moving objects by utilizing the activity sequence of the moving objects obtained in the first part and further calculating the integral activity habit similarity of the moving objects. The system comprises three modules as follows: a track data uploading module, a track sequencing module and a moving object similarity calculation module. The spatio-temporal data based moving object similarity calculation method and system have wide application foreground in multiple fields such as precise advertisement recommendation, intelligent traffic management and urban position service.

The invention discloses a method for predicating estimated arrival time of a flight. The method comprises the following steps of obtaining flight time of various flights at each time according to the history flight data of the flights; summarizing the flight time of various flights at each time, calculating an average value, and obtaining a basic reference value of the flight time of the current flight; and calculating to obtain the estimated arrival time of the current flight by combining the actual taking off time of the current flight. The method provided by the invention can be used for effectively and accurately calculating the estimated arrival time of the current flight, thus, the arrangement of an airport pick up plan by pick up staff is greatly facilitated.

The invention relates to a turbine data acquisition system based on industrial internet and edge computing. The turbine data acquisition system based on industrial internet and edge computing includesa shafting vibration signal acquisition module, an industrial soft gateway and a cloud module, wherein the shafting vibration signal acquisition module is used to perform shafting vibration signal acquisition and feature extraction on the shafting vibration signals, and realize remote transmission of the shafting vibration signals after feature extraction; the industrial soft gateway includes a communication module, a turbine data acquisition configuration module and a turbine data sending module; and the cloud service module includes a public cloud service module and a private cloud servicemodule, and the main function of the cloud service module is to perform efficient data management and data analysis. The invention provides a turbine data acquisition, analysis and diagnosis system with good applicability, strong portability, wide data resources and high diagnostic precision. The turbine data acquisition, analysis and diagnosis system effectively improves the problem that the prior art is lag in the detection means, is low in the utilization efficiency of big data, and is low in the accuracy of the analysis and diagnosis results.

The invention provides a four-spectrum turbine blade radiation temperature measurement method. The method includes: acquiring a voltage-temperature curve through pyrometer calibration, and calibratinga user pyrometer; measuring the radiation energy on the surface of a working turbine blade to acquire the radiation energy of four different spectrum sections; processing with a photoelectric conversion module, a signal processing module and a data collecting module to obtain spectrum color temperature under different spectrum; according to the fact that the spectrum color temperature of a measuring target under different spectrum is different due to the influence of emissivity, but the real temperature of the measuring target under different spectrum is identical, building a four-spectrum radiation model according to a Planck formula; building a target equation according to the radiation model to solve the real temperature of the blade, wherein due to the fact that the blade is high in rotation speed and large in online monitoring quantity, a differential evolution algorithm is selected to solve the real temperature under the premise that precision is guaranteed so as to increase calculation speed. By the method, the real temperature of the target can be effectively and accurately calculated, and the online temperature measuring requirements of the turbine blade are satisfied.

The invention relates to a call wire random power fluctuation calculating method based on a load fluctuation characteristic. First, a correlation model of load fluctuation and call wire random power fluctuation is established, the correlation model of load fluctuation and call wire random power fluctuation is deduced and analyzed in a detailed mode according to dynamic differential analysis of call wire power fluctuation, system frequency response analysis, call wire power fluctuation analysis based on system frequency analysis and call wire fluctuation analysis based on the load fluctuation characteristic. Two zone frequency response coefficients and corresponding weight coefficients are acquired, two zone load distributions f (x) and f (y) are acquired according to practical operation data, Monte Carlo sampling simulating test is carried out according to the distributions, results are subjected to statistics and analysis, and then call wire random power fluctuation conditions are calculated. The method is high in reliability, accurate and efficient, and powerful support can be provided for quick restraining of call wire random power fluctuation and improving of call wire electricity transmission capacity.

The invention relates to a method and equipment for character identification post-processing and image picking equipment comprising the equipment. The method comprises steps that assembly identification, an assembly is extracted from a character row area image, and an assembly identification result is acquired; acquisition of a top point and a bottom point, the top point and the bottom point of the assembly having the largest distance from a character direction line are acquired; determination of disappearance points, the disappearance points are determined by utilizing a cross point of a top line and a bottom line, the top line is determined by top point sets of line segments with gradients and intercepts in mutual consistency on the basis of line segments of any two top points of each assembly, and the bottom line is similar to the top line and is determined by bottom point sets of line segments with gradients and intercepts in mutual consistency on the basis of line segments of any two bottom points of each assembly; determination of base lines, at least two base lines are determined on the basis of the determined disappearance points; and character correction, the identification result is corrected on the basis of the determined base lines.

The invention discloses a ship-borne aircraft tether load calculation method based on a catenary model, which comprises the following steps: simplifying an aircraft model, equivalently taking an aircraft wheel as a spring model, equivalently taking an aircraft fuselage as a rigid body, and equivalently taking a deck as a rigid body; according to the simplified aircraft model, the displacement typeof rigid body structure being determined; by coordinate transformation, the displacement of any point on the rigid body being expressed as the combination of the deformation displacement of the aircraft wheel and the sliding displacement of the rigid body in the plane of the deck; simplifying the tethered rigging model, and constructing the catenary mechanics model of the tethered rigging according to the stress characteristics of the tethered rigging in the relaxed state; taking the force balance of tethered cable as the constraint condition, the simultaneous equations of tethered cable loadbeing constructed and solved by Newton-Raphael method through numerical iteration, and the tethered cable load being obtained. The method for calculating the mooring load of a ship-borne aircraft based on the catenary model provided by the invention can realize fast and accurate calculation of the mooring load of the ship-borne aircraft.

The invention provides an ultra-short-term node load prediction method based on the real-time electricity price. The ultra-short-term node load prediction method includes the steps of: obtaining historical data of the node day-ahead clearing electricity price, a node day-ahead transaction load, the node real-time electricity price and the node actual load of the N days before a prediction day; calculating an electricity price difference delta P between the node day-ahead clearing electricity price and the node real-time electricity price, and calculating a load difference delta L between the node day-ahead transaction load and the node actual load; obtaining training samples and a training set according to the delta P and the delta L; obtaining a function relation between the electricity price deviation and the load fluctuation according to a data training set of the N days before the prediction day and the machine learning algorithm; and obtaining an ultra-short-term node load prediction model according to the function relation between the electricity price deviation and the load fluctuation. The method carries out power system load prediction on the basis of considering the influence of the real-time electricity price, effectively improves the accuracy of load prediction, and provides high-quality, high-precision basic data for power trading, power grid dispatching operationand the like.

A system, method, and computer program product is disclosed that recycle digital assertions for analyzing the test vectors to quickly and accurately calculate the switching activity at each test clock pulse or scan cycle. According to some approaches, load vector data and unload vector data are analyzed to determine toggle counts and switching activity, without requiring simulation to be performed.

A CT data processing apparatus and a CT data processing method capable of separating a subcutaneous fat region from a visceral fat region accurately and efficiently in CT data are provided. The CT data processing apparatus includes a center calculation part that calculates a body center 41 of an examinee on tomographic CT data, a start point setting part that identifies a vertebral column position 45 on the tomographic CT data and sets a start point on a muscular layer 37 on the opposite side of the vertebral column position 45 with respect to the body center 41, a muscular layer determination part that determines whether or not the muscular layer 37 is present in a first range 48, and when it is determined that the muscular layer 37 is present in the first range 48, further setting a point on the muscular layer 37 in the first range 48 as a new first reference point 47 and thus determining whether or not the muscular layer 37 is present in the first range 48, while moving the first reference point 47 from the start point 46, and a separation line calculation part that calculates a separation line so that the separation line passes through the first reference points 47.

The invention provides a calculation method for simulating impact effects caused to molten pools by molten drops in laser arc hybrid welding. The method comprises the following steps of: dividing an impact effect caused to a molten pool by molten drops into three aspects of momentum impact, quality addition and energy addition; respectively arranging the three aspects into corresponding mathematicfunctions to carry out calculation; and finally obtaining surface deformation and temperature and speed distribution states of the molten pool under the impact of the molten drops. According to the method, a free interface tracking method which takes volume conservation as a constraint condition is utilized, so that surface deformation and temperature field and speed field distribution conditioncalculation of molten pools under the impact of molten drops can be realized. The method is capable of efficiently and correctly calculating influences caused to molten pool dynamics by impact of molten drops, and has a great significance to scientific research and engineering design.

The invention discloses a meta-motion unit part tolerance distribution method based on a state space equation. The method includes: Analyzing the structure model of the element action unit, and explaining the assembly tolerance transfer of the element action unit as the superposition process of the dimensional tolerance and the form and location tolerance of each part under different matching forms; determining a part assembly sequence of a meta-motion unit and related part geometrical characteristics of each matching characteristic, expressing a geometrical characteristic space pose of each part by using a small displacement spinor according to a tolerance model, and calculating and obtaining micro transformation of an actual pose of the assembly characteristic after each step of assembly; obtaining an output tolerance vector of the assembled power output part according to the assembly tolerance differential vector so as to obtain a state space equation of the element action unit in the assembly process; through iterative calculation, fitting out the part geometric tolerance meeting the requirement, and achieving distribution of the element action unit part tolerance.

The invention belongs to the electric power system load prediction field and especially relates to a load prediction method based on total power of household average equipment and an occupancy coefficient. In the load prediction method based on the total power of household average equipment and the occupancy coefficient, a statistics analysis method is adopted; power utilization models of different residents under different total power of electric equipment are acquired from power utilization data of limited residents in a typical region; and then through the total power of electric equipment of overall users in a region to be predicted and a phase development condition, an electrical load in the region is accurately and effectively calculated. Efficiency and effectiveness of electrical load calculation are increased, which is good for a design and maintenance of a power grid.

The invention discloses a DC system fault diagnosis method, system and device. The method comprises the following steps: acquiring fault waveforms and fault types; establishing a corresponding table of the fault waveforms and the fault types; classifying the fault waveforms into a training set and a test set; training a fault diagnosis model by adopting the training set, and carrying out testing by adopting the test set; and inputting the real-time fault waveforms into the fault diagnosis model, and outputting a fault type corresponding to the fault waveform graph by the fault diagnosis modelaccording to the corresponding table. According to the invention, a convolutional neural network is used for analyzing the fault waveform to identify the corresponding fault type; the whole fault identification process is automatically carried out without human intervention; the calculation process is efficient and accurate; a phenomenon that lots of time costs and manpower costs are spent in manual fault diagnosis is avoided; and the working efficiency is greatly improved.

The invention discloses a shield segment attitude measurement method based on a three-dimensional laser scanning technology, and belongs to the technical field of shield segment attitude measurement methods. The method comprises the following steps: S1, setting measurement points; S2, arranging a reflector plate; S3, collecting data; S4, carrying out coordinate transformation; S5, carrying out point cloud splicing; and S6, calculating an attitude deviation value; Aiming at the characteristics of a shield segment, the three-dimensional laser scanning technology is adopted, and the attitude of the shield segment can be efficiently and accurately measured.

The invention discloses a bend speed early-warning method and system, and a computer readable storage medium. The bend speed early-warning method comprises the steps of judging whether a bend exists within a front preset distance of a vehicle traveling route according to front road condition information, calculating an early-warning distance of the bend according to the front road condition information and a real-time vehicle speed of a vehicle when determining that the bend exists within the front preset distance, comparing the early-warning distance of the bend with a distance of a current vehicle position from an entering-bend point, judging accordingly whether the vehicle enters an early-warning range, searching a matching safe vehicle speed and a comfortable vehicle speed according tothe radius of the bend in front of the vehicle if the vehicle enters the early-warning range, comparing the safe vehicle speed and the comfortable vehicle speed with a current vehicle speed, and outputting a comparison result. The bend speed early-warning method and system, and the computer readable storage medium reduce the strategy complexity and decrease the waste of resources while ensuring accurate judgment of whether the vehicle enters or exits the bend.

A method and apparatus for a navigation system for calculating a route to an intersection destination establishes an optimum route to the intersection. The method and apparatus creates a virtual zero-length dummy link, connects one end of the virtual zero-length dummy link to all link-spot pairs indicating an original intersection destination, sets another end of the virtual zero-length dummy link as a temporary destination, calculates possible routes between the temporary destination and a current vehicle position and selects the optimum route. After determining the optimum route, the navigation system removes the virtual zero-length dummy link and starts the route guidance operation to the intersection destination.