699results about How to "Realize computing" patented technology

The invention discloses a shale organic porosity detection method, and belongs to the technical field of petroleum, geology and mining exploration and development. The shale organic porosity detection method comprises the steps of calculating chemical kinetic parameters of petroleum formation from kerogen, gas formation from kerogen and gas formation from crude oil pyrolysis by utilizing a chemical kinetic method based on the thermal simulation experiment of a shale sample and a crude oil sample with representativeness, and determining the conversion rate of the petroleum formation from kerogen, gas formation from kerogen and gas formation from crude oil pyrolysis of shale at the study layer section by combining with the burial history and thermal history of a target layer; recovering the original hydrogen index and the original organic carbon of shale of the target layer by utilizing residual hydrogen index and data of residual organic carbon of shale of the target layer and combining with the conversion rate of the petroleum formation from kerogen, gas formation from kerogen and gas formation from crude oil pyrolysis; analyzing the organic pore compressibility of shale by utilizing a Ar ion polishing thin sheet of a shale sample of the target layer; calculating the organic porosity of the shale sample of the target layer section. The shale organic porosity detection method has the effects that the organic porosity of the reservoir of shale can be calculated, and the shale organic porosity detection method is high in calculation accuracy, and is easy to operate.

The invention discloses a method for monitoring a radio-frequency spectrum, which comprises the step of establishing a monitoring network formed by connecting multiple monitoring facilities in a cable and radio mode and is characterized by comprising a task management step, a real-time monitoring step, an equipment management step and an information inquire step. The invention has the advantages that the multi-stage networking monitoring is realized according to actual requirements; multiple monitoring and direction finding tasks of the upper stage are received, and the task distribution and the implementation of process monitoring, and the summary and the report of the monitoring result are realized; the data fusion processing from multiple monitoring and direction finding equipment can be finished; one or more specified spectrum monitoring equipment can be remotely controlled; the frequency monitoring, the signal direction finding and positioning, the interference analysis, the signal monitoring and the like can be realized in real time; the configuration management of multiple monitoring equipment can be realized; and the work state and the communication link state of the monitoring equipment are dynamically monitored and controlled.

A method for detecting 3-D information of rut on pavement includes forming structure light strip of structure light laser to be an image on surface array CCD after said structure light strip is modulated by 3-D information of pavement in order to obtain pavement information for making calculation through relation matrix, filtering disease influence off, calculating parameter by utilizing virtual straight scale, storing data then analyzing and displaying data. The detection device used for realizing said method is also disclosed.

The invention relates to an attitude-control engine vector thrust measurement and calibration integrated device and a measurement method, so as to satisfy the requirement on attitude-control engine vector thrust measurement. The attitude-control engine vector thrust measurement and calibration integrated device comprises an engine, a standard vector force source, a loading mechanism, a vector force measurement unit, a data processing module and an in-situ thrust calculating module. The standard vector force source is used to generate and control nine standard forces on the loading mechanism according to the execution requirement. The loading mechanism is used to fix a vector force sensor to be calibrated. The vector force measurement unit is used to collect voltage signals that are outputted by the vector force sensor to be measured. The data processing module is used to receive a loading result from the standard vector force source and a measurement result from the vector force measurement unit and obtain a calibration coefficient of the vector force sensor to be calibrated by means of calculation. The in-situ thrust calculating module is used to calculate the force that is applied on a flange face of the engine. When the engine is working, the main thrust, the horizontal lateral force, the vertical lateral force, etc. of the engine can be obtained to examine the working performance of the engine.

The invention discloses a movement noise elimination method suitable for a wearable heart rate measurement device. The method aims at improving the heart rate measurement accuracy of the wearable heart rate measurement device. In the method, the wearable heart rate measurement device collects multiple pulse oximeter signals and movement acceleration signals, during the same time period, of a user; the spectrum peak positions of movement noise in multiple pulse oximeter signal frequency spectrums are flush with the spectrum peak positions of movement acceleration signal frequency spectrums, and the pulse oximeter signal frequency spectrums can be removed through the spectral subtraction method; finally, the heart rate frequency point positions are accurately positioned according to the spectrum peak tracking mechanism. By means of the method, movement noise in heart rates is effectively eliminated, the non-peak situation, the multi-peak situation and the target spectrum peak tracking loss situation which happen to the pulse oximeter signal frequency spectrums after the spectral subtraction method is conducted are eliminated, and accurate measurement, based on the wearable device, of real-time heart rates is achieved.

The invention discloses an intelligent Operation and Maintenance Analysis System Based on Multi-source Heterogeneous Data Fusion, Machine Learning and Customer Service RobotBased on multi-source heterogeneous data fusion, In the intelligent operation and maintenance analysis system of machine learning and customer service robot, the analysis and processing module uses the multi-source heterogeneous data fusion technology to preprocess and normalize the real-time data. After the correlation analysis, the model matching is used to output the results, and the root cause of the problem is determined by root cause analysis. The model management module is used for acquiring data for machine learning and outputting various reasoning models to the analysis processing module and the recommendationdecision module. The recommendation decision module recognizes the context and matches the corresponding subsequent processing behavior according to the policy. The invention is based on the multi-source heterogeneous data fusion technology and the operation and maintenance mode of machine learning, which gives consideration to the compatibility problem of the big data, improves the automation degree of the operation and maintenance, guarantees the network safety and the service quality, simultaneously has certain prediction ability, and reduces the related operation and maintenance cost. Theoutput mode of the customer service robot further realizes the intelligence of operation and maintenance.

The invention specifically relates to an individualized learning-oriented educational resource recommendation method and system. The method comprises the following steps of: S1, acquiring basic characteristic data of learners and establishing a resource interestingness model and a learning style model of the learners according to the basic characteristic data, wherein the basic characteristic data comprises identity information, learning behavior records and educational resource operation records of the learners; S2, establishing a learner characteristic model according to the resource interestingness model and the learning style model; S3, calculating the similarity between different learners or the similarity between different educational resources according to the learner characteristic model; and S4, generating a target learner-oriented educational resource recommendation result according to the similarity between different learners or the similarity between different educational resources. Through the technical scheme provided by the invention, the target learner-oriented education resource individualized recommendation can be realized.

The invention discloses a method for realizing extraction of comprehensive errors and determination of compensation values for a jig system, and relates to the field of mechanical processing. The method includes the following steps of: acquiring a comprehensive error parameter model of the jig system; establishing an on-machine detection platform, and determining the position and the posture deviation delta qW of a workpiece below a machine tool coordinate system on the basis of an on-machine detection technique and the comprehensive error parameter model of the system; establishing a comprehensive error compensating model of the jig system according to a coordinate transformation theory, and determining compensation values of the machine tool in three directions at each point of the motion track of a cutter by compensating operation. The method clearly and simply clarifies the mapping relation between the jig system error and the workpiece posture offset, and has a sufficient theoretical basis; a concise and precise error extraction method is provided; the precise measurement and calculation of jig errors can be realized. According to the method, the real-time processing compensation can be carried out, and the processing precision is further improved.

The invention discloses a method for controlling aeration in a biochemical reaction tank in real time. The method comprises the following steps of: arranging a monitor at a water inlet end of the reaction tank, in the tank, at a water outlet end and at a sludge reflux port of a sedimentation tank; transmitting water quality and water quantity data acquired by the monitor to a central control system through a PLC (Programmable Logic Controller); calculating oxygen demand, a dissolved oxygen target value and sludge reflux quantity of the biochemical reaction tank by a real-time biochemical reaction model module in the central control system according to the water quality and water quantity data; converting the oxygen demand of the biochemical reaction tank into air supply by an intelligent conversion module; calculating air valve opening and fan pressure data of the reaction tank by an air supply pipe network aerodynamic model module according to the air supply; transmitting the sludge reflux quantity, the air valve opening and the fan pressure data to an executing mechanism by the central control system; and controlling opening and closing of a valve, a fan and a reflux pump by theexecuting mechanism. By applying the method, real-time on-line control over the aeration of the biochemical reaction tank is realized.

The invention discloses a high-resolution intelligent network camera array system with global synchronization function. The system adopts global synchronization signals to realize the synchronous acquisition of a camera array, comprises at least two intelligent network cameras used for image acquisition, wherein the working mode of one camera is configured as a main mode, while the other cameras are configured to be in a slave mode; the main-mode camera produces and provides global horizontal synchronization signals and vertical synchronization signals for the slave-mode cameras; and every intelligent network camera is connected with a central computer through a network and is used for receiving control commands in real time and transmitting image data so as to realize distributed computing function. The system has the advantages of satisfying the real-time high-performance processing for acquired data, realizing the global synchronous shooting of the camera array, supporting large-scale array expansion, realizing the control of the central computer over a plurality of working modes of the intelligent cameras and realizing high-resolution video-image data shooting.

Wherein, it relates to a GIS platform, a database, and remote data exchange software. The system can query data, display result, maintains and converts between data and image; it can automatic evaluate loss according to damage sample data, and outputs evaluation report.

The invention discloses an automotive network black box system with cooperative terminal, pipeline and cloud end. The system comprises a terminal, a pipeline and a cloud end. The invention relates to the relevant technical fields such as intelligent traffic systems, vehicle networks, cloud calculation, ubiquitous communications and mobile internet and the like; dynamic and static data of vehicles can be intelligently perceived through a CAN (controller area network) bus, an OBD II (on-board diagnostics) interface and intelligent analysis software running on a vehicle terminal; the data intelligently perceived from the black box of the vehicle are transmitted to the network cloud end in real time through a ubiquitous communication technique; black box cloud of the vehicle network is constructed through a cloud calculation technique, so that cloud storage, calculation and analysis are carried out on the converged mass black box data; and software service is provided for applications such as accident investigation, intelligent traffic and vehicle network and the like in an SaaS manner.

The invention discloses a wind generating set blade load measurement device. The wind generating set blade load measurement device comprises at least three fiber bragg grating sensor arrays, a demodulation module and a load data processing module, wherein each fiber bragg grating sensor array is formed by connecting at least four fiber bragg grating sensor groups in series sequentially; each fiber bragg grating sensor group consists of a strain sensor and a temperature sensor; the strain sensor is used for measuring the strain amount of a blade when the blade is loaded; the temperature sensor is used for compensating the temperature drift of the strain sensor caused by the ambient temperature change; the demodulation module is used for converting the signals of each strain sensor and each temperature sensor into corresponding strain amount values and temperature values respectively; the load data processing module is integrated with a load algorithm to process the strain amount value and the temperature value of each measurement point, convert the strain amount value and the temperature value of each temperature point into a waving bending moment and a shimmy bending moment, and output the waving bending moment and the shimmy bending moment to a pitch-variable control system or a master control system of a wind generating set.

The invention discloses a memristor-based nonvolatile multivalued logic device and an operating method thereof. The method provides an operating method for negation and dextrorotation of three-valued logic and multivalued T gate logic, which realizes an exhaustive set of multivalued logic, such as three-valued logic based on the multi-resistance state transition characteristic of a memristor. All the logic operation results are stored in the device in a nonvolatile resistance state, such that a logic operation function and a data storage function are realized simultaneously in the device, i.e., storage and calculation are fused; therefore, a device basis is laid for going beyond the limitation from an information device Moore's law and breaking through the Von Neumann bottleneck in a computer architecture. The memristor-based multivalued logic device disclosed by the invention can be applied to a novel solid-state memory, a logic-arithmetic unit, a programmable gate array, an on-chip system and other fields as a basic unit, and provides a new path for boosting novel computer architecture.

The invention discloses a computer-system-based online handwriting authentication method, which comprises the following steps of: writing and submitting a plurality of groups of registered handwritings through handwriting input equipment by a user, storing the two-dimensional static character pattern position information of display handwritings corresponding to the registered handwritings into a database, and finishing handwriting registration according to the conventional online handwriting authentication method; in the test of a computer system, submitting a generated identification number by the user, randomly selecting a plurality of registered handwritings from the registered handwritings submitted by a corresponding user in a registration stage, and displaying the two-dimensional static character pattern position information of the display handwritings of the selected registered handwritings to the user; and submitting a corresponding test handwriting set at a time within a specified time by the user, finishing test handwriting authentication according to the computer-system-based online handwriting authentication method, and comprehensively making a decision to finish the authentication of the user. The method has the advantages of replay attack resistance, difficulty in the attack of an imitator and active defense; and the neglected shortcomings of dependence on handwriting confidentiality and high imitation rate neglected by the conventional online handwriting authentication method are effectively overcome.

The invention discloses a fluid-solid-heat rapid calculation method for high-speed aircrafts with three-dimensional complicated appearances, and belongs to the field of aircraft pneumatic calculation.According to the method, static aerodynamic heat calculation is simplified to inviscid outflow numerical solution and boundary layer inner heat flow solution by adoption of a CFD numerical calculation and engineering algorithm combined method according to a boundary layer theory, and anti-heat system structure heat transfer calculation model is coupled at the same time. According to the method, advantages of overall length numerical simulation and an engineering algorithm are combined, so that an aircraft whole surface heat flow density and anti-heat structure temperature field time-variant characteristics can be rapidly and efficiently given to a method for calculating pneumatic heating and structure coupling heat transfer characteristics of aircrafts with three-dimensional complicated appearances under multiple flight states, the gaps such as high calculation cost, low efficiency and long period of numerical simulation method are filled, and the application range of the engineeringalgorithm is broadened at the same time.

The invention discloses a failure message integrated device based on FPGA and ARM hardware platform, which comprises a PT/CT board, an ARM board, a network switch board, a serial port board, a GPS board and a high speed acquisition board composed of an A/D sampling chip and an FPGA; the FPGA has a DDR2 controller, an DMA controller, an FIFO memory and an FIR low-pass filter; and the FPGA is also provided with a starting algorithm module and a fault recorder module. The device organically combines the functions of the fault recorder, a travelling wave distance measuring device and a failure message management sub-station by using parallel processing capability of the high speed AD chip and the FPGA, for realizing accurate localization of fault points when a power transmission line in an electric power system has a fault, and obtaining a complete fault report, thereby complying with intelligentization and miniaturization needs of secondary device of power grid.

The invention provides a dynamic lightweight class trust evaluation method based on the Bayesian theory and the entropy theory, and belongs to the technical field of wireless sensor network security. The dynamic lightweight class trust evaluation method based on the Bayesian theory and the entropy theory includes the following steps: S1, an evaluation subject calculates the direct trust value of an evaluation object according to the Bayesian theory; S2, the evaluation subject updates the direct trust value of the evaluation object by means of attenuation factors and valid history memory periodically; S3, the evaluation subject calculates the confidence coefficient of the direct trust value of the evaluation object, and judges whether the confidence coefficient is larger than a certain threshold value to determine whether the indirect trust value of the evaluation object needs to be calculated or not; S4, the evaluation subject confirms the bang path of the recommendation trust values, confirms the weight of the recommendation trust values by means of the entropy theory, calculates the indirect trust value of the evaluation object, and calculates the comprehensive trust value of the evaluation object through the combination of the direct trust value and the indirect trust value of the evaluation object. The dynamic lightweight class trust evaluation method based on the Bayesian theory and the entropy theory is in accordance with the characteristics that sources such as capacity, calculation, and storage of network nodes are limited and has the advantages of being dynamic, adaptive, lightweight and the like.

The invention discloses a visual configuration method for index calculation. The visual configuration method for the index calculation includes following steps: S01, building models of business objects; S02, building a model of basic data: selecting attributes of the business objects in visualization mode from the models of the business objects, built in the step S01, in an FLEX environment, and connecting the business objects through operational characters so as to form a calculation link of basic data items; S03, building a model of the index calculation: resolving logic of the index calculation into the basic data items, weighting coefficients and the operational characters, and forming a topological graph model of the logic of the index calculation in the FLEX environment; S04, calculating an index: using numerical value of the basic data items and an algorithm described by the operational characters to calculate layer by layer so as to push deep into a root node, and finally obtaining an index value on the root node. The visual configuration method for the index calculation organically integrates technologies of concurrent calculation, memory calculation, visual index calculation model configuration together, and develops the advantages of being parallel in clustering of the concurrent calculation, being high in efficiency of the memory calculation and the like.

The invention relates to a method for calculating stress distribution of a composite component interference fit connector hole edge. On the basis of the elastic mechanics complex potential theories of Muskhelishvili and Lekhnitskii, a nail stress distribution model and a hole stress distribution model are set up respectively; by analyzing the contact relationship of bolt-hole before and after deformation, bolt-hole contact stress is determined and substituted into a hole edge stress distribution model, precise calculation of a composite structure interference fit connector hole edge residual stress field is achieved, and the foundation is laid for structure connection design and strength analysis.

The invention relates to the electronic data processing technology, and particularly discloses a method and a system for electronic document processing based on separation of key data from a customized template. The method includes: selecting a standard template file of a pre-generated electronic document, wherein the standard template file comprises uncorrectable fixed contents, format filling requirements and position filling requirements; acquiring a data file corresponding to the standard template file, filling corresponding data and storing; loading the standard template file and the data file and compositing a whole or local electronic document for subsequent processing. The system comprises a template acquisition unit, a data acquisition unit and a document compositing unit, and the standard template file and the data file can be acquired and loaded to composite the whole or local electronic document. Fixed format portions and data filling required portions of electronic documents are separated, storage and transmission efficiency can be improved, change of template contents is prevented, and subsequent data processing is facilitated.

The invention discloses a calculation method and system for the remainder range of an electric automobile. The calculation method includes the following steps that (1) a battery management system (BMS) reads the numerical value of an odometer of the automobile and obtains a running distance S within a certain period; (2) the current in the period is detected, and the power consumption amount Q in the period is calculated; (3) the ratio of the read running distance S to the detected and worked-out power consumption amount Q serves as the energy consumption value K per kilometer; and (4), the BMS obtains the current SOC value, and the remainder range is calculated according to the energy consumption value K per kilometer. The calculation system comprises a data reading module, a detection module, an energy consumption value calculation module and a remainder range calculation module which are sequentially connected. According to the calculation method and system for the remainder range of the electric automobile, the running distance and the power consumption amount in the certain period are obtained by reading the odometer of the automobile, the energy consumption value K per kilometer is obtained through the ratio of the corresponding distance to the power consumption amount, and therefore a user can visually, accurately and conveniently know the remainder range of the electric automobile in real time.

The invention discloses a tramcar operation simulation system which comprises a crossing priority calculation module used for setting a crossing priority control right, and a tramcar operation way selection module used for setting or adjusting the tramcar operation way according to the state of a crossing and the running state of a tramcar. The invention also discloses a tramcar operation simulation method. After the system and the method are adopted, the tramcar can adapt to the operating environment of road crossings with social vehicles, and accurate and reliable reference data are provided for actual line operations.

The invention discloses a speckle image pixel-by-pixel matching method based on deep learning, and the method can achieve the analysis of a single-frame speckle image, and obtains high-precision three-dimensional information. The method comprises the following steps: constructing a model based on a twin convolutional neural network, training the model through training data collected by a binocularstereoscopic vision system, obtaining parallax values of speckle images at left and right visual angles through the trained model, and combining the parallax values with calibration data of the binocular stereoscopic vision system to obtain three-dimensional information of an object. Compared with a method for calculating parallax through fringe projection, the method has the advantages that parallax data can be calculated only through one speckle image. Compared with a traditional speckle matching algorithm, the method has the advantages that the precision of a measurement result obtained bythe method is higher; compared with a basic convolutional neural network, the three-dimensional data reconstructed by the method has a higher-precision measurement result at details.

The invention belongs to the technical field of substation inspection methods, and particularly relates to an intelligent substation inspection method, which comprises the steps of S1, establishing athree-dimensional model of a substation, and performing three-dimensional video fusion display on the substation; S2, setting an inspection path of the inspection robot in the three-dimensional model;S3, enabling the inspection robot of the transformer substation to perform inspection according to a set inspection path, and upload inspection data to the centralized control main station; and S4, enabling the centralized control main station to store the inspection data and analyze and process the inspection data. According to the invention, the problems of low efficiency and poor data qualitycaused by manual recording and meter reading of operation data of power transformation equipment are solved, and the automation level of inspection operation is improved.