112 results about "Experimental data processing" patented technology

The invention discloses a man-machine cooperation path planning method for an agriculture mobile robot based on a cloud model. The method comprises the following steps: dynamically guiding an algorithm A*(DGA*) to perform man-machine cooperation path planning, combining professional knowledge, hobbies and the like of people to form an expert system, introducing online uncertainty reasoning based on the cloud model, and realizing a rapid path planning strategy. The invention achieves the following beneficial effects that the agriculture mobile robot is taken as a research object, a large amount of experimental data are processed at the cloud by using the online cloud reasoning method based on man-machine cooperation, the time delay is greatly reduced, and the real-time reliability of autonomous path planning of the agriculture mobile robot is improved. By combining the man-machine cooperation path planning method based on the cloud model and the algorithm DGA*, the subjective initiative of people is fully exerted, the autonomous walking requirement of the agriculture mobile robot in a complicated dynamic environment is guaranteed, and the agriculture mobile robot has excellent operating performance for avoiding static and burst / dynamic obstacles.

A reliable acoustic path-based deep sea earthquake sound parameter inversion method of the present invention comprises the steps of firstly arranging a single hydrophone nearby the seabed below a deepsea critical depth, enabling a ship to sail only in a survey sea area, at the same time, emitting a sound source signal, and acquiring the deep sea experiment data; using a receiving hydrophone to obtain a multi-path signal nearby the seabed below the critical depth by utilizing a sound source target, analyzing and extracting the multi-path information of a direct wave and a seabed reflected wave, calculating the seabed reflection loss changing along with the grazing angles, and finally matching the seabed reflection loss simulated by a model, and inverting to obtain a seabed parameter. Compared with the prior art, the deep sea earthquake sound parameter inversion method has the superiority of not needing a large aperture array and being convenient to arrange. By utilizing a stable physical phenomenon that the interference occurs between the layers at the seabed at different frequencies, and by the experiment data processing and the seabed modeling and simulation, the seabed earthquake sound parameter of a large depth sea area is obtained by inverting, the signal to noise ratio of the experiment data obtained in the present invention is high, and the robustness of the inversion method is good.

The invention relates to a network security experiment platform construction method based on Docker. A platform is divided into three parts, wherein the three parts are respectively responsible for experiments, functions of node virtualization, experimental data processing and the like are realized. An experimenter uploads experiment related content through an ASG module. The platform stores the experiment content, the mirror image, the topological structure and experimenter information, experiment environment deployment is carried out through the VG module by using the Docker technology, andexperiment data are continuously collected through the DAG module. The method has higher performance and efficiency, and large-scale network simulation and quick construction of a large-scale networkare realized. Therefore, the function of customizing the network topology structure is realized, the memory, the system version and the like of the machine can be customized, and the experiment is more real. Meanwhile, the auxiliary function is perfected, the attack and defense assessment technology researched in the past is fused into a network security experiment platform, and a visual technology is combined, so that an experiment result is more visual and easier to understand.

The invention relates to an identification method of tea plant germ plasma resource seedling-stage coldness resistance, which comprises the following steps of: (1) culture of materials; (2) stress treatment of tea plant seedlings; (3) determination of physiological and biochemical indexes of tea plant leaves; (4) processing of experimental data; and (5) evaluation of coldness resistance. The method is simple and convenient to operate, is low in cost, and is fast and accurate to identify. Plasmalemma relative permeability of leaves can reflect the damage degree of the cell membrane; and soluble sugar and soluble protein are important permeability adjusting substances for the tea plant leaves, so the coldness resistance of the tea plant is stronger when the content of the soluble sugar and the content of the soluble protein are higher. The method is simple, convenient and feasible to evaluate the coldness resistance of the tea plant.

The invention discloses a method for processing experimental data of dynamic capillary effect evaluation experiments of an oil reservoir, and the method comprises the following steps: (1) arrangement of basic parameters; (2) determination of rock core average water saturation and average oil saturation; (3) determination of dynamic capillary force, to be more specific, in-situ dynamic capillary force detected at each point is corrected, the geometric center of a rock core, an oil phase and a water phase is determined, essence phase average oil phase pressure <Po> and water phase pressure <Pw> are calculated, and the dynamic capillary forceis determine; and (4) determination of oil phase and water phase dynamic relative permeability, to be more specific, effective water saturation is calculated, center water saturation point with water saturation of Sp in capillary pressure curve is taken, the capillary pressure corresponding to the water saturation Sp is P, logarithmic coordinate slope (F) of the point is calculated, parameter m can be obtained by Genuchten model fitting, and water phase dynamic relative permeability (Krw) and oil phase dynamic relative permeability (Kro) can be calculated respectively.

The invention provides a visualized rheological method for evaluating emulsion stability. The visualized rheological method for evaluating emulsion stability comprises the following steps: step 1, preparing an oil-water emulsion disperse system and emulsifying the system sufficiently; step 2, setting a three-segment rheological test including an oscillation mode in a first segment, a high-speed shear mode in a second segment and an oscillation mode in a third segment for the visualized rheological test on the emulsion stability; step 3, processing experimental data and evaluating the emulsion stability and viscoelasticity. The visualized rheological method for evaluating the emulsion stability has the advantages that viscoelasticity change of an oil-water interface can be researched in a dynamic visualized manner, and adsorption and coalescence phenomena of oil drops or water drops in an aqueous phase or an oil phase are researched directly, so that the emulsion stability is researched on the basis of comparison.

The invention discloses a high-speed camera shooting and PIV synchronous measurement system suitable for a moving boundary flow field, and belongs to the technical field of fluid mechanics experiments. The high-speed camera shooting and PIV synchronous measurement system suitable for the moving boundary flow field comprises a computer, a driving controller, a driving device, a water tunnel test section, a synchronous measuring device, a PIV camera, a laser generator and a high-speed camera. Through the perspective effect of a one-way transparent mirror, laser particle image velocimetry is carried out on a measured water wing flow field by the PIV camera, and through the reflection effect of the one-way transparent mirror, full flow field shooting is carried out on the measured water wing flow field by the high-speed camera so as to realize high-speed camera shooting and PIV synchronous measurement. By keeping a lens and a PIV shooting port of the PIV camera on a same shaft system and keeping a lens and a high-speed camera shooting port of the high-speed camera on a same shaft system, the accuracy of the synchronous measurement is ensured. The high-speed camera shooting and PIV synchronous measurement system suitable for the moving boundary flow field can realize the synchronous measurement of the moving boundary flowing-around flow field high-speed camera shooting and the laserparticle image velocimetry, the measurement efficiency is further improved, and the experimental data processing precision can be improved through the synchronous measurement.

The invention relates to an experimental data processing method and device, computer equipment and a storage medium. The method comprises the following steps of: obtaining a sample; obtaining to-be-processed experimental data of a third party, analyzing the to-be-processed experimental data to obtain a data structure form corresponding to the to-be-processed experimental data, performing matchingin a preset mapping database according to the data structure form to obtain a mapping relation table corresponding to the data structure form, and generating a standard data form according to the mapping relation table and the data structure form. By adopting the method, the processing efficiency of the experimental data can be improved, and the development resources of the informatization software are saved.

The invention discloses a method for measuring the nonlinearity of a material based on monopulse, which is characterized in that after passing through a phase object, a laser pulse with an approximate tophat profile is divided by a beam splitter into two beams, namely, a beam of monitoring light and a beam of detecting light. The measurement steps include: (1) placing a sample at a position far from a focal plane of a focusing lens for recording the energy of the monitoring light and the energy of pulsed light respectively and calculating a ratio; (2) moving the sample to the position of the focal plane of the focusing lens for recording the energy the monitoring light and the energy of the pulsed light respectively and calculating a ratio; and (3) dividing the ratio obtained in the step (2) by the ratio obtained in the step (1) to obtain a normalized nonlinear penetration rate and obtaining the nonlinear refraction coefficient of the material through processing. The method of the invention has the advantages of simple implementation, no need of movement, simple experimental data and the like; and the pulsed light with a tophat profile, adopted as the detecting light, can improve the detection precision by 4 times compared with Gaussian pulsed light.

The invention discloses a conglomerate full-diameter rock core radial flow oil-water relative permeability measuring device and method. According to a conglomerate full-diameter rock core radial flowoil-water relative permeability measuring experimental device, an experimental process and an experimental data processing method, the radial seepage process of the oil and water near a wellbore underthe formation temperature and pressure can be accurately simulated, and the radial seepage oil and water relative permeability of the conglomerate full-diameter rock core is measured. The experimental device comprises a vacuumizing system, a pressure supply system, a simulated reservoir module and a produced liquid metering system. The experimental process comprises the following steps of full-diameter rock core pretreatment, rock core absolute permeability determination, rock core vacuumizing and water saturation, an oil displacement water method rock core saturated oil experiment and the water displacement oil unsteady state method oil-water relative permeability measurement experiment. The data processing method is a full-diameter rock core radial flow oil-water relative permeability curve calculation method derived on the basis of a Darcy formula, a B-L radial seepage equation, a flow function G and the like.

The invention discloses an Alzheimer's disease classification method based on an improved 3D CNN network, and the method carries out the training based on 3D nuclear magnetic resonance data, and achieves the precise brain disease classification. The method mainly comprises the following steps: 1) modeling by using a 3D CNN: replacing a 2D CNN part in a VGG network by using the 3D CNN; 2) optimizing a model structure: firstly adding a batch normalization layer in the model, and then introducing jump connection; 3) experimental data processing: preprocessing experimental data, and dividing a training set and a verification set; 4) model training: inputting the data into a model, training network parameters, and reserving an optimal model. According to the method, multiple jump connections are introduced into the 3DVGG model for Alzheimer's disease diagnosis for the first time, the performance of the method is superior to that of an existing method, and the method has the advantages of being high in universality, high in robustness and the like.

The invention discloses an experimental data monitoring system based on a rock-soil experimental platform. The experimental data monitoring system mainly comprises various excitation types of sensors, a functional data acquisition system and a PC and terminal experimental data processing system, wherein the functional data acquisition system is connected with the sensors through cables, and is also connected with the PC and terminal experimental data processing system through a cable, the sensors are arranged on an experimental body, and the types of the sensors are selected according to the geometrical shape and physical characteristics of the rock-soil experimental body. The experimental data monitoring system based on the rock-soil experimental platform can be recycled, and a solution with the advantages of high reliability, real-time performance, automation and the like is provided for data acquisition in a rock-soil experimental system.

The invention relates to a partition fuel cell experimental data processing method and system based on a VBA module. The method comprises the steps that a VBA data processing module is established; the VBA data processing module is called to import original data of a fuel cell experiment; the VBA data processing module is called to conduct formatting processing on the imported data; the VBA data processing module is called to draw a corresponding image; the VBA data processing module is called to conduct formatting processing on the drawn image. Compared with the prior art, the partition fuel cell experimental data processing method and system based on the VBA module have the advantages of being fast, automatic, capable of greatly improving the data process efficiency and the like.

The invention discloses a lithium battery capacity online estimation method based on a convolutional neural network, and the method comprises the steps: firstly carrying out the processing through employing the charging and discharging circulation experiment data of a reference battery, obtaining a source data set comprising a plurality of samples and corresponding capacity labels, wherein each sample is composed of a charging voltage, a charging voltage first-order differential and charging current data; furthermore, establishing a convolutional neural network for estimating the capacity of the lithium battery, and optimizing hyper-parameters of the neural network by using an optimization algorithm; taking charging voltage and charging current data with the same charging capacity intervallength as the source data set sample in the latest charging process of the tested battery; and obtaining and inputting charging voltage, charging voltage first-order differential and charging currentdata into the convolutional neural network which has been subjected to optimization training, and the output value of the convolutional neural network is the capacity estimation value of the tested battery. The method is suitable for lithium battery capacity online estimation under the actual use condition, any section of charging voltage and current data meeting the interval length requirement can be used as input data, the data requirement is low, the calculation resource consumption is low, the estimation precision is high, and the method has very high actual application value.

The invention discloses a new experimental data processing method of a structural DFR (Detail Fatigue Rating) experiment, and belongs to the technical field of structural fatigue strength experimentation, analysis and evaluation. The experimental data processing method comprises the following steps: firstly, according to relevant experiment requirements, obtaining the fatigue experiment data, including stress level and fatigue life, of each test piece; secondly, according to different stress levels of the test pieces, selecting a proper reduced stress level; thirdly, aiming at the experiment data of each test piece to calculate to obtain reduced fatigue life corresponding to the reduced stress level on the basis of a stress life conversion formula; and finally, on the basis of a design handbook of a relevant DFR method, obtaining the DFR allowable value of a checked position in the structure. Since the stress life conversion formula is introduced into the method, the experimental data processing method has the advantages of being wide in application range, clear in processing process and simple in calculation method.

The invention relates to a method for measuring a diffusion process and a diffusion coefficient of CO2 between oil-water two-phase. The method comprises the following steps: combining a single-liquid-phase pressure landing method with a two-liquid-phase extension concentration distribution model, determining the diffusion coefficient of the CO2 in the single-liquid-phase according to the pressure landing method, directly obtaining the concentration distributions of the CO2 in two liquid phases through the extension concentration distribution model, and then acquiring the diffusion coefficient of the CO2 in the oil-water two-phase. By use of the method disclosed by the invention, the pressure of directly measuring the CO2 diffusing to the two-liquid-phase is avoided, the computing precision of the subsequent experimental data processing is improved, and the operation is more simple; and meanwhile, the method disclosed by the invention is more in line with the diffusion feature under high temperature and high pressure, a problem of drastic fluctuation of the pressure under a condition that the two-liquid-phase diffusion pressure landing is small is avoided, and the computing result is more in line with the actual situation of the diffusion under the high temperature and the high pressure.

The invention provides a method for measuring viscoelasticity of gel particles. The method includes the steps of firstly, preparing a gel particle dispersion system, and making the gel particle dispersion system sufficiently swell; secondly, conducting a creep recovery test on gel particles; thirdly, processing experimental data, and evaluating viscoelasticity of gel particles. The method is put forward on the basis that gel particles have a certain creep property, the creep recovery test of gel particles is conducted through a rheometer, and the viscosity response and the elasticity response of gel particles can be separated. By means of the put-forward rheology method for measuring viscoelasticity of gel particles through the creep recovery test, the true viscoelasticity of gel particles can be measured, the test time is short, measurement accuracy and measurement efficiency are improved, and evaluation methods of gel particles are abundant.

The invention discloses system and method for reading load spectrum actual measuring experimental data. The system comprises a data acquisition device and a computer, wherein the data acquisition device is used for acquiring load spectrum actual measuring data and storing the load spectrum actual measuring data in a data storage card; and the computer is connected with the data acquisition device and is used for reading the data from the data storage card according to the storage strategy and storing the read data into a data file with the designated format to be used by the load spectrum actual measuring experimental data processing system. The invention has high actual value for reading the load spectrum actual measuring data in the actual engineering test and achieves the aim and the requirement of improving the data storage efficiency and flexibly reading.

The invention discloses an experimental data processing method and device. The experimental data processing method includes: acquiring experimental data which include first experimental data and / or second experimental data; for the first experimental data, rounding the first experimental data according to preset numerical value rounding rules to obtain a first experimental result; for the second experimental data, rounding the second experimental data according to the preset numerical value rounding rules to obtain second experimental operation data, performing operation on the second experimental operation data and acquiring a second operation result, and rounding the second operation result acquired to acquire a second experimental result; generating an experimental report according to the first experimental result and / or the second experimental result. By the experimental data processing method and device, efficiency in acquiring the experimental data is improved, and efficiency in processing the experimental data is improved greatly.

The invention discloses a valve flow measuring system, which is mainly applied to flow performance tests and experimental data processing of valve products such as gate valves, butterfly valves, regulating valves, ball valves and the like. The structure of the valve flow measuring system is mainly composed of a water pump control system, a pressure stabilizing water tank system, a valve testing pipeline system, a data processing center, a main water inlet pipe, a main connecting pipe, a main water return pipe, a data transmission line and the like. The valve flow measuring system disclosed by the invention can detect different types of valve products with different specifications, the test pressure differential range can reach 0-600KPa, then a front-back pressure difference value of a water inlet and a water outlet of a valve to be detected can be controlled remotely through the data processing center, flow values of the valve to be detected at different pressure difference values are measured, and thus analysis is carried out so as to acquire a flow coefficient of the valve to be detected. The performance of valve products can be enabled to reach related standard requirements at home and abroad through the valve flow measuring system, and the core competitiveness of the valve products is greatly improved.

The invention discloses a quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity. The method comprises steps that Lempel-Ziv complexity is an index for determining signal period components magnitude, Lempel-Ziv complexity index processing on bearing vibration signals with different-position and different-degree faults is carried out, the fault degree and the Lempel-Ziv complexity index value are discovered to be in a certain proportion, Lempel-Ziv complexity represents different gradually-increasing and gradually-decreasing trend rules according to different rolling inner and outer bearing ring fault positions, and thereby quantitative trend diagnosis on the bearing faults can be realized. For extracting the actually-measured vibration signal fault characteristics, a Protrugram algorithm is introduced to be in combination with the Lempel-Ziv complexity index. Through experiment data processing, effects of the quantitative rolling bearing diagnosis method based on Protrugram and Lempel-Zil on quantitative bearing trend diagnosis are verified.

The invention discloses an automatic teaching and examination and acceptance robot including a hardware module, a control module, and a principal computer. The hardware module includes a power module, a signal source module, and an oscilloscope module. The control module includes a hardware drive control unit and a main control unit. The principal computer includes a serial communication test module used for testing serial communication, a student login module used for inputting student information, an experimental examination question module used for writing and publishing experimental questions, an experimental data processing module used for processing experimental data, and a student score calculation module used for judging the experimental result. The principal computer communicates with the main control unit, issues orders, and makes the power module provide power voltage for a to-be-tested work. The signal source module provides test signals, and makes the oscilloscope module collect the information of an information measuring point. The collected data is sent up to the principal computer through the main control unit. The principal computer processes and analyzes the data, and judges and scores students' works according to a unified standard.

The invention relates to a method of testing the no volatilized residuum and the relative carbon amount in the solid test specimen, puts the test specimen into the heat-resisting vessel and under the isolation air condition after separately heats the certain time with the heater in the 750-850 deg,950-1050 deg, 1050-1150 deg three temperature areas weighing and computing the no volatilized residuum and the relative carbon amount according to the following formula; the method has good isolation effect with air and the long heat time, can fully drive out the volatile matter but not to affect the residuum character, the three temperature areas tubular heat up structure is simple, operation simple bright and is easy to make the processing, the observation data reduction mathematical formula simply, is easy to grasp, the test entire process and the atmosphere even more approach the stove return original state process of the electric heating to smelt the aluminum silicon alloy, the obtained result has a better instruction.

The invention relates to a wireless vehicle-mounted type automobile temperature experimental data collecting system. The wireless vehicle-mounted type automobile temperature experimental data collecting system comprises a data collecting module. The data colleting module is composed of a temperature sensor, a temperature collecting module and a communication module. The temperature sensor is connected to the data collecting module. The temperature collecting module is connected to the communication module. The system further comprises a data concentrator, a database, an experimental data processing server, a webpage server and a browser, wherein the data concentrator, the database, the experimental data processing server, the webpage server and the browser are connected. The data concentrator comprises a communication module, a CPU and a wireless communication module based on a mobile network, wherein the communication module, the CPU and the wireless communication module are connected. The communication module of the data concentration module is connected to the communication module of the data concentrator. By the adoption of the wireless vehicle-mounted type automobile temperature experimental data collecting system, the temperature experiment data of an automobile heat dissipating system can be transmitted to the browser through a wireless network, a user can conveniently obtain the experimental data of the heat dissipation of the automobile of the user and can also obtain the experimental data of other automobiles, and both time cost and labor cost are reduced.

The invention provides a method used for obtaining stress-strain curve of metal materials at static tensile states. The method is invented through improvement of tensile experiment and experiment dataprocessing analysis based on strain control or displacement control states, and mainly comprises two steps: firstly, experiment data is obtained through improved tensile experiment, and then the experiment data is adopted in processing of the real stress-strain curve of an obtained material at limit slow tensile, i.e. static tensile states. According to the method, the real stress-strain curve ofa material at long period stretching process is obtained through experiments, so that effective evaluation of material real using performance is realized, and important guiding meaning on the metal material at long term stretching states is achieved.

The invention discloses an experiment data processing method and device based on a block chain, a computer-readable storage medium and a server, belonging to the technical field of computer programs.The method comprises the following steps: acquiring first experiment data and a timestamp; monitoring the first experiment data and the timestamp; when the first experiment data changes and second experiment data is generated, acquiring the second experiment data and a timestamp; monitoring the second experiment data and the timestamp; ...; when N-1th experiment data changes and Nth experiment data is generated, acquiring the Nth experiment data and a timestamp; monitoring the Nth experiment data and the timestamp; when the experiment data and the corresponding timestamp reach the encapsulation standard, encapsulating the experiment data and the corresponding timestamp into a block, wherein the block and other blocks are linked together to form a block chain. The device, the computer-readable storage medium and the server can be used to implement the method. The occurrence of academic fraud can be reduced or even avoided.

The invention discloses a method for representing resin on a wetting performance of a glass fiber. The method comprises the step of performing a contact angle test by taking a dried glass fiber impregnating agent as a solid phase and a resin solution as a liquid phase and by use of a contact angle measurement instrument so as to represent the wetting performance between the resin and the glass fiber. The method is simple and convenient to operate, experiment data are processed simply and directly; a test can be performed by only needing a small amount of glass fiber impregnating agents; the test device is simple, and the test cost is low; the research and development costs of the glass fiber can be effectively reduced; and the progress for development and optimization of a glass fiber impregnating agent formula is greatly accelerated.

The present invention relates to a salt rock butted-well water solution cavity body flow field and concentration field stimulation experiment method. The method comprises the steps of: constructing abutted-well water solution cavity flow field and concentration field stimulation experiment device; processing a salt rock test piece, and preparing brine; connecting an experiment system; performingexperiment steps; and processing experiment data. The method provided by the invention presents complex characteristics of the actual flow field, researches a key effect of the flow of the solution cavity fluid on the extension of the cavity shape, achieves combination of engineering practice and a fluid theory, explores the general characteristics of the complex flow field of the butted-well solution cavity and obtains optimal production parameters in a technical process, so that the cavity construction cycle time is shortened, more economic benefits are created, requirements of practical application are satisfied.

The invention relates to an experimental device and an experimental method for measuring ultimate contact stress of a connected part in a bolt joint and belongs to the field of short-term looseness testing of bolts. The experimental device comprises a stretching machine for loading force and a fixture for internally placing a dial gauge, a magnetic base, a test piece, a pressure sensor, and a polished rod bolt; and the stretching machine accurately measures the change of force and shift in the experimental process in cooperation with the pressure sensor and the dial gauge. The bolt loading manner is divided into two manners of continuous loading and discontinuous loading through the experimental method; in the bolt loading process, the bolt shift is measured through the dial gauge, the pressure borne by the material is measured through the pressure sensor; a stress-strain curve of a test piece is obtained through calculation; and ultimate contact stress of the material is obtained through curve analysis. The experimental device and the experimental method for measuring ultimate contact stress of a connected part in a bolt joint in the invention have the characteristics of simple structure, convenience for use, convenience for experimental data processing, high measuring precision and wide application range.