122results about How to "Realize real-time computing" patented technology

The invention relates to the field of the monitoring of a transmission line conductor, in particular to a real-time monitoring method of ice coated on an overhead transmission line conductor and a system thereof. The method comprises the following steps of: firstly, arranging tilt-temperature monitoring devices on each line conductor so as to monitor the suspension point tilt and the conductor temperature of line conductors in real time; secondly, arranging deviation angle-wind deflection angle monitoring devices on each suspended insulator string so as to monitor the deviation angles of the suspended insulator strings along the conductor direction and the wind deflection angles vertical to the conductor direction in real time; and calculating the ice coating comprehensive load and the ice coating thickness of each line conductor in real time through monitoring the suspension point tilt and the conductor temperature of the line conductors and the deviation angles of the suspended insulator strings in real time. The method has the beneficial effects that not only the ice coating thickness of the conductor can be measured, but also the comprehensive load of the ice-coated conductor can be measured, furthermore, the measure is reasonable and correct, the algorithm is simple, and the result is accurate, and the method can be applied to the comprehensive load calculation of the strain section of the lines, on which ice is evenly coated or unevenly coated.

The invention relates to a radar target intermediate frequency (IR) echo simulation system based on multi-beam amplitude-comparison angle measurement and a control method thereof, relating to the field of radar target echo simulation. The system comprises three target echo simulation boards and an arbitrary waveform generator instrument fixture, wherein the echo simulation boards are designed with a computer module PC104, a field programmable gate array (FPGA), direct digital synthesis (DDS) technique and a simulation circuit as cores; and the arbitrary waveform generator instrument fixture is designed with instrument programming control as the core. According to the invention, simultaneous 6-channel simulated target IR echo simulation of the radar of the multi-beam amplitude-comparison angle measurement system is realized, parameters of the simulated target echo such as distance, delay, echo amplitude, Doppler shift, pattern, direction pattern modulation, noise superposition and the like can be controlled, single-channel switching and output of dual-beam echo is realized, and the test use requirement of the radar signal processor of the system is met. In the invention, the arbitrary waveform generator instrument frock is utilized, thus improving the amplitude precision of the output echo signals; and the control program in the FPGA in the target echo simulation boards is designed by the soft IP core, thus providing convenience for hardware transplanting and clipping.

The invention discloses a neural network optimizing method and a device to solve the problems in the prior art of neural network technology that the calculation speed is low, and that the timeliness is poor. The method comprises: performing binarization to the convolution layer inputted data along the channel direction and packaging the bits to obtain the zipped data; performing binarization to the convolution kernels of the various convolution layers and packaging the bits to obtain the corresponding zipped convolution kernels; dividing the zipped input data into data blocks of the same sizes as the convolution kernels according to the calculation order in a succession manner with the input data contained in one convolution calculation forming a data block; performing convolution calculations to each data block of the zipped input data successively with the zipped convolution kernels to obtain the convolution result; and according to the convolution result, obtaining a plurality of output data for the convolution layers. The technical schemes of the invention are able to make the neural network calculation more speedy and more timely.

The invention discloses a radar cross-section (RCS) layered calculation method of a ship target within an atmospheric duct range. According to the invention, after partition of a three-dimensional geometric model of a ship target, most similar basic geometrical shapes of the all partitioned parts of the three-dimensional geometric model are selected and are approximated as basic scatterers; geometric information of all basic scatterers are extracted and RCSs of the all basic scatterers are calculated; Change relations of RCS values of all parts of the ship target at different heights are calculated by combining heights of all parts of the ship target; and scattering power intensity of the ship target is calculated according to a transmission factor of an electromagnetic wave of an atmospheric duct. According to the RCS calculation method of the ship target within the atmospheric duct range provided in the invention, computational complexity and requirements for computing equipment canbe substantially reduced and real-time calculation is allowed. Besides, an influence of up-and-down sea surface on transmission of an electromagnetic wave is fully considered, and a calculation result is more reasonable and effective. The method provided in the invention has important military significances for technological development, equipment update, and operational application of microwave beyond-the-horizon radar.

The invention discloses an image processing method and an apparatus thereof and relates to the image processing technology field. The image processing method comprises the following steps of acquiring a depth image and an RGB image under a same scene; according to a depth value in the depth image, segmenting the RGB image to acquire at least two area images, and processing the at least one area image; and fusing the processed area image and the RGB image. In the technical scheme of the invention, through the depth value of the depth image under the same scene, the RGB image is segmented. Compared to a scheme of separately adopting the RGB image to detect a target area, by using the scheme of the invention, precision is high. The RGB image is segmented and the at least two area images are acquired, and at least one area image is processed. According to a demand, the area to be processed can be selected. The different areas can be processed differently so that a customized demand of a user is satisfied. The processed area image and an original RGB image are fused and simultaneously processing efficiency and a fusion result are considered.

The invention relates to a real-time intelligent processing framework based on storm streaming data. The real-time intelligent processing framework comprises the following steps of setting a front end data structure and a filtering condition via a demand configuration layer, analyzing data of configuration files including SQL instructions via a data structure analyzing layer, analyzing function operators of topology of the storm via an operator function topology layer, generating codes, compling and packaging via a system finishing layer, handing in and executing the finial topology, storing result data in a data storage via a data image layer, and real-time generating data images and displaying the data images to a decision maker. The beneficial effects of the real-time intelligent processing framework based on storm streaming data are that interaction with upper-level decision makers can be well achieved; related topology can be dynamically and intelligently generated according to the complicate data processing function, so code re-usability can be improved and developing period and cost can be greatly reduced; system intelligent property and executable efficiency can be improved; a user image can be displayed in real time; and quick and strong support is provided for decision-making by decision makers.

The invention relates to automatic corrugated pipe welding equipment for a transformer and a welding method thereof, and belongs to the welding technical field of a corrugated pipe for a transformer. The automatic corrugated pipe welding equipment for the transformer comprises a rotary workbench, a two-dimensional numerical control platform, a laser outline measuring instrument, an R axis, a welding machine tool and a control system; the rotary workbench is fixed on the workbench surface of the machine tool; one end of the R axis is arranged on the welding machine tool body in a sliding way, and both sides of the other end of the R axis are respectively provided with the laser outline measuring instrument and the two-dimensional numerical control platform which slides along the R axis; a welding torch is connected onto the two-dimensional numerical control platform in a sliding way; the laser of the laser outline measuring instrument is in parallel with the axis of the welding torch; the rotary workbench, the two-dimensional numerical control platform and the welding machine tool body are respectively connected with the controller of the control system through motors; and the laser outline measuring instrument is connected with the industrial computer of the control system. The automatic corrugated pipe welding equipment for the transformer and the welding method thereof solvethe difficult problem of the manual welding of a large thin-wall corrugated pipe, reduce the labor intensity of a welder, improve the production efficiency, and simultaneously ensure the uniformity and the stability of the welding quality.

The present invention is a kind of collector for nucleic acid analysis and its application method. The collector consists of an integral double-path capillary with sample analyzing path and sample collecting path, three detecting windows in the analyzing path and a sample collecting pipe. The collector is used in automatic fast analysis of nucleic acid segment and high percision and high purity automatic fast collection of different nucleic acid band. The collector has unique structure, and can be used through combining with traditional capillary nucleic acid nucleic acijd analysis technology, such as DNA sequencing instrument technology.

The invention provides an economic dispatching method of an electric-heating integrated energy system based on a double multiplier iterative algorithm. The process comprises the following steps: establishing an economic dispatching model of the electric-heating integrated energy system; The Lagrange multiplier method is used to solve the economic dispatching model of electric-heating integrated energy system, which is transformed into an optimal dispatching problem. A double multiplier iterative algorithm is designed to solve the above-mentioned optimal scheduling problem, and the optimal output of each unit under the constrained conditions is found, and the minimum total operating cost under the optimal scheduling of the electric-thermal integrated energy system is calculated. The economic dispatching model of the electric-heating comprehensive energy system of the invention firstly considers the network transmission loss and can realize the real-time calculation; Realized two kinds of electric heating energy coordinated optimization disposition; On the premise of considering the transmission loss of the network, it can meet the two kinds of load demands of the users and reduce the production capacity cost of the enterprise. The double multiplier iterative algorithm proposed by the invention can avoid directly solving the multi-dimensional implicit equations, reduce the complexity of model solution and have a fast convergence rate.

The invention discloses a mobile intelligent meter reading system. The invention is characterized in that the system comprises a PC interface end, a PC work station, a GPRS network, a mobile terminal, an electronic tag, a concentrator and a printing terminal. The PC interface terminal sets a Web Service interface to synchronize data and to realize the uploading and the downloading of the data; the PC work station is used for leading the mobile terminal to be accessed into an enterprise MIS network; a GPRS network is used for leading the mobile terminal to be accessed into the enterprise MIS network; the mobile terminal uses a palm PDA to set a mobile meter reading procedure, a 232 serial port, a Bluetooth interface and a radio-frequency card, so as to realize each task such as downloading, uploading, managing meter reading, gauging and recording information, recording defects, reading meter on the spot, printing the advice note of energy charge, and counting meter reading results, and the like; the concentrator realizes the communication between the palm PDA mobile meter reading procedure and the ammeter of a meter box; and the printing terminal realizes the on-spot printing of the advice note of the energy charge of the mobile meter reading procedure on the palm PDA by the Bluetooth. The system realizes the combination of mobile intelligent meter reading and marketing MIS.

The invention relates to a KNN-GPU acceleration method based on OpenCL. According to the method, mainly, parallelized achievement of a KNN algorithm is completed. Firstly, preparation work of a CPU end is performed, wherein an OpenCL platform is initialized, and storage configuration of an equipment end is performed; then, the calculation process on a GPU is performed, wherein test data and training data of the equipment end are represented in index space, distance is calculated, and sorting is performed; finally, the classification result obtained by a GPU end is output to the CPU end to be displayed. According to the method, memory access of the GPU end is optimized, storage and data reading of a local storage are performed, and the parallelizing efficiency is further improved. As experiments prove, the efficiency of the KNN classification algorithm can be effectively improved, the classification precision is kept unchanged, and the method can be widely applied to classification calculation of texts, images and the like.

The invention provides a video data processing method and device and an electronic system. The video data processing method comprises the following steps: dividing a target video into a key frame anda common frame; for the key frame, inputting the key frame into the task model, and outputting a calculation result of the key frame; for the common frame, obtaining a mask between the common frame and the reference key frame, wherein the mask has a foreground motion area and a background static area, and the reference key frame is the key frame closest to the common frame; determining a feature region corresponding to the common frame according to the foreground motion region of the mask; and obtaining a calculation result of the common frame according to the reference key frame, the featureregion and the task model. According to the video data processing method, common features are not completely input into the task model, and only the feature region is input into the task model, so that the calculation amount of the neural network can be reduced, and the data bandwidth and the power consumption can be reduced, and real-time calculation can be realized on the basis of keeping the convolution calculation effect not to be reduced.

The invention provides a method and device for calculating the virtual energy storage capacity of a heat / cold supply system and electronic equipment; the method comprises the steps: building a heat flow model of the system according to the structure of the heat / cold supply system; according to the real-time measurement information of the heat / cold supply system, determining the real-time operation state information, and solving a heat flow model of the heat / cold supply system; according to the solving result of the heat flow model, determining the running states that the virtual energy storage amount of the heat / cold supply system is zero and the virtual energy storage amount is full, and calculating the instantaneous energy storage power limit and the instantaneous energy discharge power limit; under any preset adjustment duration, based on the real-time operation state information of the heating / cooling system, solving and optimizing a heat flow model of the heating / cooling system according to the upper limit constraint condition and the lower limit constraint condition of the heat transfer fluid temperature in the pipe network and the indoor temperature of the user side; and obtaining the average energy storage power limit, the average energy release power limit, the energy storage capacity and the energy release capacity of the heat / cold supply system under the adjustment duration according to the optimization result.

The invention discloses a laminar flow wing transition position measurement image processing method based on a temperature-sensitive paint technology, and the method comprises the steps: S1, carrying out the image collection, processing the surface of a laminar flow wing through the temperature-sensitive paint technology, marking the preset position of the surface of the processed laminar flow wing, acquiring a background image, a reference image and a test sequence image of the laminar flow wing in the wind tunnel by using a camera; S2, carrying out image registration; S3, performing image processing, and performing conversion and calculation based on the light intensity ratio sequence image and a temperature-sensitive paint calibration coefficient relational expression to obtain a laminar flow wing surface heat flow data image; and S4, judging a transition area and a transition position of the wing surface according to the gradient change of the light intensity ratio or the heat flow along the chordwise direction of the laminar flow wing. The invention provides a laminar flow wing transition position measurement image processing method based on a temperature-sensitive paint technology, which is used for processing temperature-sensitive paint technology image data for laminar flow wing transition position measurement, and can be used for processing to obtain a laminar flow wing transition area and a transition position.

The invention discloses a polarization navigation information detection sensor with independent channels, and is characterized in that: the sensor includes a polarized light acquisition module, an unbiased channel, and a signal processing and calculation module; the polarized light acquisition module includes three mutually independent polarization detection channels for acquiring polarized light information; the unbiased channel acquires a light output standard current signal and provides a standard for automatic gain control; the signal processing and calculation module completes processing, amplification, conversion and calculation of the signal to obtain polarization navigation information. The sensor can effectively improve the accuracy of the atmospheric polarization navigation information detection.

The invention relates to a method for determining the thicknesses of solid-liquid slag lubricating films on the basis of a temperature measuring continuous-casting mold of a thermoelectric couple, belonging to the field of mathematical model application of ferrous metallurgical continuous casting process, comprising the following steps: step 1, acquiring initial data; step 2, determining the thickness of the solid slag lubricating film and the thickness of the liquid slag lubricating film at a meniscus area of the mold; and step 3, displaying a result of the thickness of the solid slag lubricating film and the thickness of the liquid slag lubricating film in an online manner. The method has the advantages that on the basis of mass balance and heat flow balance, an equation for calculating the thicknesses of the lubricating films at the meniscus of the continuous casting mold is deduced, and under the premise of installing the thermoelectric couple at the meniscus area, temperature data detected in real time is imported to a mathematical model so as to realize real-time calculation of the thicknesses of the lubricating films.

The invention discloses a cloud, fog and edge end cooperative bearing state monitoring and management system and method. The method comprises the steps that a bearing operation signal is obtained, the noise reduction, feature extraction and other signal processing are conducted, a result is uploaded to fog end equipment, the fog end equipment updates the bearing digital twin model according to the information uploaded by the edge end, performs fault diagnosis and life prediction of digital-analog fusion, uploads a result and part of edge end information to the cloud end, and receives a customized bearing fault diagnosis and life prediction model issued by the cloud end; and the cloud end receives fog end information, performs spatio-temporal data indexing, calculates a customized bearing fault diagnosis and service life prediction model for the fog end, and provides a predictive maintenance scheme. According to the scheme, the defects that an existing bearing operation and maintenance system based on the big data technology is few in calculation hierarchy, single in function and dependent on data driving are overcome, and an efficient calculation framework and an accurate diagnosis and prediction scheme are provided for predictive maintenance.

The present invention is a kind of collector for nucleic acid analysis and its application method. The collector consists of an integral double-path capillary with sample analyzing path and sample collecting path, three detecting windows in the analyzing path and a sample collecting pipe. The collector is used in automatic fast analysis of nucleic acid segment and high percision and high purity automatic fast collection of different nucleic acid band. The collector has unique structure, and can be used through combining with traditional capillary nucleic acid nucleic acijd analysis technology, such as DNA sequencing instrument technology.

The invention relates to a streaming computing real-time report system and method, belongs to the technical field of report software systems, and solves the problems of low stability and safety, poortimeliness and high transformation cost of a report system in the prior art. The system comprises a data real-time acquisition module, a kafka message publishing and subscribing module, a real-time calculation module and a report data storage module. Reliable flow-type distributed calculation is realized, and the reliability and stability of the system are improved.

The invention discloses an efficient monitoring method for the multi-ship collision risk in the sea area. The method comprises steps that instantaneous AIS data of all the ships in the monitored sea area are read, latitude and longitude coordinates of the ships are linearly interpolated, the position information of each ship is synchronized to the same time point; a scanning radius of DBSCAN is set according to monitoring requirements of the ship collision risk, and the minimum inclusion point number is set to be 2; DBSCAN clustering calculation is performed for all the ships in the sea area,and the ships in the sea area are clustered according to spatial distribution; and the multi-ship collision risk is calculated for each ship in the cluster generated through clustering. The method isadvantaged in that the total calculation of the collision risk of all the ships in the sea area can be reduced, the total calculation time is saved, and real-time calculation of the collision risk isrealized.

The invention provides a multi-objective optimal dispatching method of a power system based on a two-layer consistency algorithm. The process comprises the following steps: establishing a multi-objective optimal dispatching model of the power system; searching for the best condition; designing a two-level consistency algorithm to find out the optimal output of the generator and calculating the minimum value of comprehensive expectation. The invention considers the influence of the transmission loss on the system supply-demand balance and the unit output optimization, and can realize the real-time calculation of the transmission loss. The multi-objective optimization problem is transformed into a single objective optimization problem by using linear weighted sum method. The supply side cansatisfy its own interests by adjusting the weighted coefficient according to the demand of the enterprise. The optimal configuration of electric energy is realized, and the supply side is guided to make a reasonable capacity plan. On the premise of considering the transmission loss, it can meet the user's load demand and improve the economic benefit and social environmental protection benefit of the enterprise. Low dependence on communication and effective protection of enterprise and user privacy, and can achieve plug and play group and effectively respond to network topology changes.

The invention discloses a high-speed self-rotation guided cartridge aerial real-time alignment method. According to the method, the initial heading angle and the pitch angle are set at the initial moment according to auxiliary data of a satellite navigation system; the initial roll angle is set to be an arbitrary value; then inertial navigation attitude computation is performed when only the inertial navigation system data exist to obtain three attitude angles; when the auxiliary data of the satellite navigation system exist, the roll angle at the moment is rapidly estimated through three-dimensional Kalman filter estimation to obtain three aerial attitude angles of a self-rotation guided cartridge. Compared with existing aerial self-alignment methods, the self-rotation guided cartridge aerial alignment method is small in computation amount and high in accuracy and establishes the foundation for improving fall point accuracy of the high-speed self-rotation guided cartridge.

The invention relates to a high-speed train energy-saving operation curve online calculation method based on predictive control. The method comprises the steps of S1, using line gradient, speed limitation, train parameters and a train reference speed curve as train control system input; S2, in each sampling control period, monitoring and obtaining real-time speed and displacement information of train operation; and S3, designing a prediction control method according to the real-time speed and displacement information of the train, and calculating an operation curve of the train on line to realize energy-saving operation of the train. Modeling is carried out according to a predictive control method by taking energy conservation as a target. In each control step, the optimal control problemis converted into a multi-stage optimal control problem, and then the multi-stage optimal control problem is efficiently solved through a pseudo-spectral method. The optimal control problem of the train in the prediction time domain is repeatedly solved in each step, and the energy-saving train speed curve of the whole travel of the train is obtained on line. The method has the advantages of highcalculation efficiency, good robustness and the like, and can realize real-time calculation of the running speed curve of the high-speed train.

The invention provides hardware architecture of a deep learning-based target detection algorithm and an execution method thereof. The hardware architecture comprises an input cache, a line cache, a register matrix, a convolution calculation kernel, an output cache and a full-connection calculation kernel, which are arranged on an FPGA, wherein the input cache is used for caching data of an input layer of the deep learning-based target detection algorithm; the line cache comprises k storage units and is used for caching output data of k lines of input caches; the register matrix comprises k*k registers; the convolution calculation kernel is used for carrying out convolution calculation according to data, of the k*k registers, output by the register matrix in each clock period; the output cache is used for storing an output result of the convolution calculation kernel; and the full-connection calculation kernel is used for carrying out calculation to obtain a final result of target detection. According to the hardware architecture of the deep learning-based target detection algorithm and the execution method thereof, real-time calculation of the deep learning-based target detection algorithm can be realized under FPGA hardware architecture.

The invention provides a power distribution network reconstruction calculating method based on an OBDD (ordered binary decision diagram), and the method comprises the steps: S1, constructing an objective function according to a target task; S2, initializing an OBDD model of a power distribution network by combining the associated data of the target task; S3, establishing a Boolean function of thepower distribution network reconstruction constraint, generating an OBDD and solving the OBDD; S4, correcting a model and constraint conditions, and carrying out the dynamic reconstruction of the distribution network. The method employs the OBDD as the core algorithm, and a networking reconstruction scheme of the power distribution network containing a distributed power supply in a fault state iscalculated, and a regulative reconstruction scheme for the structural defects of the power distribution network in a normal state is calculated, thereby achieving the purposes that the power failure risk of the power distribution network is the lowest, the consumption degree of new energy is the highest, the network loss of the power distribution network is the lowest, the voltage fluctuation ratio is the smallest and the line loads are uniformly distributed.

The invention relates to a method for the real-time online calculation and the measurement of the separation efficiency of a separator. The method comprises the following steps: directly collecting ormeasuring the values of pressure in the middle and at the upper part of a boiler hearth; acquiring the material concentration of a separator inlet by the difference value of the pressure in the middle and at the upper part of the boiler hearth; utilizing a flying ash quotient or the starting number of an ash bin under an electrostatic dust collector to acquire a flying ash flow; and utilizing a gas flow practically measured or calculated at a separator outlet to acquire a material concentration of the separator outlet, wherein the separation efficiency of the separator satisfies an equation:eta cyc=100*(1-rho out / rho in). The method utilizes a prior measuring point of a circulating fluidized bed boiler (or equipment with the separator) to conveniently calculate the efficiency of the separator in real time without additionally arranging auxiliary measuring equipment, ensures the accuracy and the reliability of a measuring result and realizes real-time calculation or measurement of the efficiency of the separator.

The invention discloses a big data-based online sales commodity inspection sampling method. The method of calculating an emotion score of a certain kind of commodities comprises the following steps ofB1) collecting online sales commodity links belonging to the same kind of commodities on a network platform and corresponding data information including brand data, comment data and sales volume data; B2) through an emotion tendency analysis method based on a comment analysis dictionary, carrying out emotion analysis on each comment of each online sales commodity link collected in the step B1), and carrying out calculation to obtain an emotion score of each comment under each online sales commodity link; and B3) calculating to obtain a commodity emotion score of each online sales commodity link based on the emotion score of each comment under each online sales commodity link. According to the invention, under the condition of various complex online sales commodities, especially under thecondition that the total number of total commodities is uncertain, the relatively suitable sample introduction probability and sampling number can be obtained, so that the quality monitoring or sampling inspection work is stronger in objectivity, higher in efficiency, and more scientific and reasonable.

The invention discloses a method for computing lens distortion of a photographing module. The method comprises following steps of (a), utilizing the photographing module to obtain a test chart image; (b), capturing angular points in the image; forming grid data; and (c), computing the lens distortion value of the photographing module based on the grid data.

The invention discloses a dynamics control method and system of space non-cooperative target navigation acquisition. For the problem of navigation acquisition of a space robot for on-orbit grabbing ofa rotating or turning non-cooperative target, the dynamics control method of space non-cooperative target navigation acquisition is put forward in the description. The method includes the steps of firstly, establishing kinetic energy analytic type description of a space robot system; secondly, establishing a kinematics equation of the space robot; thirdly, establishing an analytic type space robot system kinematics and dynamics model through a second-kind lagrange equation and a pseudo-coordinative equation. The method is obtained by deducing a vector mechanics theoretical method, the matrixand vector calculation is adopted, the equation is an analytic type expression, and the physical meanings are clear. By means of the method, the coupling analysis can be conveniently conducted for thekinematics and dynamics of the space robot system, a dynamics control algorithm based on the model can be conveniently obtained, the calculation amount is small, and the real-time calculation of thecontrol algorithm is convenient.