495 results about "Knowledge Field" patented technology

The invention relates to a system and method for data extraction and management in multi-relational ontology creation. The system of the invention includes selecting a corpus of documents containing information relevant to a targeted knowledge domain, extracting assertions and their constituent concepts and relationships from the corpus, and storing the assertions, wherein the extraction processes may rules and utilize natural language processing.

The invention discloses a method for building a city gas pipe network vulnerability evaluation model. The method comprises the following steps that an evaluation model is built through fuzzy hierarchy comprehensive evaluation; a vulnerability evaluation index weight is determined; a city gas pipe network system fuzzy comprehensive evaluation basic model is built. As the system vulnerability evaluation and traditional risk evaluation are similar and both need to build evaluation index systems according to evaluation purposes, a proper evaluation method is selected to build an evaluation mathematical model, the model is utilized to conduct system vulnerability calculation and vulnerability grading, the quantitative and qualitative combined system vulnerability evaluation is achieved, and a research result of the city gas vulnerability can lay the foundation for improving the level of a Chinese gas pipeline management technology, prolonging the service life of a city gas pipeline and avoiding or reducing sudden invalidation accidents. With the deepening of the vulnerability research, the vulnerability evaluation is introduced in the filed of research of the science of disasters, the point of view of the safety evaluation is made to be wider, the content of the safety evaluation is made to be fuller, and the evaluation result has more practical value.

The invention provides a forest point cloud sorting method based on mode recognition, and belongs to the research field of forest canopy structure parameter obtaining methods. The method comprises the following steps of: obtaining three-dimensional laser point cloud data of the forest, selecting training sample of each sort, and computing obvious feature of each training sample; initially sorting the point cloud data by using an algorithm for obtaining Gauss mixed model based on expectation maximization algorithm, sorting the initial sorting result by using a filter and then processing. Compared with the traditional and existing method of obtaining the canopy structure parameter by using LIDAR, the method provided by the invention is time-saving and labor-saving, free from damaging the forest canopy structure, strong in applicability and high in precision.

The invention provides a driving behavior safety evaluation method based on human-vehicle-environment multiple data sources and belongs to the field of automobile safety driving research in the aspectof road transportation application. The method comprises the steps that information data of a driver, driving data of a vehicle and environmental factor data are acquired as automobile driving sourcedata; according to the automobile driving source data, related factors which influence the driving safety are analyzed, and a driving risk evaluation index system is built; through statistical analysis, an evaluation value corresponding to an evaluation index is extracted in the source data, a driving risk score of a vehicle to be evaluated is calculated and obtained, and finally the driving behavior safety grade of the vehicle is determined. The driving behavior safety evaluation method has reliable evaluation results, can prevent dangerous driving behaviors, reduces traffic accidents and improves the traffic flow.

The invention relates to a method for monitoring the stress of a casing in a well by applying optical-fiber sensors, which mainly solves the problem that the existing research field of the casing erosion of an oil field and oil-water well does not have a direct method for monitoring the stress loading process of the casing in the well and the morphological characters of the casing erosion. The method is characterized in that: optical-fiber grating sensors are circumferentially arranged along the outer surface of the casing; a ground optical-fiber grating demodulation instrument connected with the optical-fiber grating sensors is utilized to monitor the circumferential strain Epsilon Theta of the casing and obtain the circumferential strain data of the casing; meanwhile, Brilliouin optical-fiber sensors are axially arranged along the outer surface of the casing; a ground Brilliouin optical-fiber demodulation instrument connected with the Brilliouin optical-fiber sensors is utilized to monitor the axial strain Epsilon Z of the casing and obtain the axial stain data of the casing; and the obtained circumferential strain Epsilon Theta and the axial strain Epsilon Z of the casing are utilized to obtain the stress of the outer layer of the casing in the well according to a ground stress explanation model. The method is characterized by being capable of permanently monitoring the deformation of the casing and obtaining corresponding stratum pressure under the condition without knowing the casing erosion and the stratum pressure.

A ionic catching broad-spectrum highly effective dynamic rapid air sterilizing and cleaning machine, belonging to field of application research of air ionizing technique in the artificial environmental science, electrical climatology and iatrophysics; comprising power supply, air quality regulating display, fan or drive air flow, negative high pressure generator, electrical dust collector connected with earth inside and outside of the machine, and negative oxygen ion emission electrode; the negative end of the negative high pressure generator is connected with negative oxygen ion emission electrode to emit negative oxygen ion of high concentration to space, the positive end of it is connected with earth and electrical dust collector; the air quality regulating display can be equipped with water spray in outside, the water spray together with the fine particle in air acts as carrier adsorbing various pollutant in room air, and becomes negative larger dust particle gradually by using negative oxygen ion as kernel, and when its gravity together with the electric field force is larger than floating force, it will quickly fall to positive earth and dust collector, through which realizes purpose of broad-spectrum highly effective dynamic rapid air sterilizing and cleaning, and thus effectively controls the disease spread.

The invention discloses a hydrocarbon source rock formation pore heat-pressing hydrocarbon-generation simulator and a use method thereof, pertaining to an experimental apparatus for simulating the process of heat-pressing hydrocarbon-generation for hydrocarbon source rocks in the field of geological research on petroleum and natural gas. The simulator is composed of such five parts as a high temperature high pressure reaction unit, a two-way hydraulic automation control unit 301, an automatic hydrocarbon expulsion product collecting and fluid supplementing unit, a data acquisition and automatic control unit, peripheral auxiliary equipment and apparatus casing. The invention can carry out heating and pressurizing closed and open or controllable hydrocarbon generation and expulsion simulated experiments with the reservation of original pores of a hydrocarbon source rock sample 518, within the limited pore spaces and in simultaneous consideration of lithostatic pressure, formation fluid pressure and confining pressure similar to the geological conditions, thereby improving a hydrocarbon source rock hydrocarbon generation and expulsion simulated experimental apparatus so as to provide an effective means for researches on the development of a hydrocarbon generation mechanism, oil-gas migration, oil and gas production quantity in basins as well as oil and gas resource prediction, and thus having wide application prospects.

The invention provides a method for inverting effective leaf area index by utilizing geometric projection and laser radar and belongs to the field of research on methods for acquiring forest canopy structure parameter. The method includes the following steps: acquiring and preprocessing three-dimensional laser point cloud data of a plant canopy layer, converting a coordinate system of point cloud data, utilizing different geometric projections to project the three-dimensional point cloud data into a two-dimensional plane space and convert the data into a grid image and further utilizing the linear least square inversion algorithm to conduct estimation of porosity and effective leaf area index. Compared with a traditional observation method, the method is small in work amount and free of contact type observation and damage to the canopy structure and radiative characteristics, has the advantages of being objective, high in efficiency and accurate. A method for extracting three-dimensional structure and biological physical diversity information from laser radar data is developed, and characterization is conducted on the horizontal and vertical distribution change rule of leaves.

The invention relates to a vehicle bias alarm method and relative system, for alarming driver to avoid bias and accidence. The output of inverter power and one end of relay is connected with an output signal interface of an intelligent camera, the picture information collecting module, channel mark line recognizing module, vehicle direction parameter evaluation module, vehicle position parameter evaluation module, channel width evaluation module and channel bias alarm module are embedded in the chip of the camera, while the intelligent camera via a mounting support is fixed in the front windscreen glass of cabin, and said six modules should started in serially to realize the alarm method.

The invention relates to the research field of a microgravity simulating platform of a space robot, in particular to a microgravity air floatation target satellite simulator system with five degrees of freedom. The system consists of three parts, namely a movement simulator, a satellite simulator and a ground control panel. The movement simulator simulates the states of zero gravity, low friction and micro interference of a base satellite; the satellite simulator has a basic single-shaft attitude adjustment and track control function under a condition that a satellite provided by the movement simulator is in a track movement simulating environment, comprises a sensor, a controller and an actuating mechanism (a counteractive flywheel and a cold gas injecting system), and is provided with auxiliary systems such as a power system, a wireless communication assembly, a structural component and the like; and the ground control panel provides a basic function of the wireless data communication between a target satellite and the ground, and realizes the control on the target satellite and the receiving, storage and display of the data.

A knowledge index system and a method of providing a knowledge index are provided. The knowledge index system includes: a knowledge graph storage unit that includes a plurality of nodes representing a core word or a subject word about knowledge of a specific field and an edge representing an association relationship between the plurality of nodes with a line, and that stores a knowledge index representing a structure of the knowledge field in a graph form having a cycle in which more than one path may exist between any pair of nodes by displaying a related degree between two nodes at the edge; a data storage unit that stores data constituting the knowledge index; and a display unit that outputs a knowledge index of the graph form on a screen.

The invention relates to an ocean spilt oil film thickness hyperspectral remote sensing estimation method based on a parameter lookup table and belongs to the field of ocean environment monitoring research. The method includes the steps of obtaining and pre-processing standard oil film thickness continuous change hyperspectral data by designing a simulation experiment; obtaining and pre-processing ocean spilt oil satellite remote sensing data; resampling a standard oil film spectrum based on a satellite sensor performance index; normalizing spectral reflectivity; building an oil film thickness optical calculating model; building an attenuation parameter lookup table; normalizing the reflectivity of satellite data and conducting mask treatment; inquiring and building an optimal wave band of the satellite data and relevant parameters; and calculating the oil film thickness in the satellite data through the parameter lookup table and the optical model. Compared with a traditional observation means, by means of the ocean spilt oil film thickness hyperspectral remote sensing estimation method, field workload is less, the thickness of the spilt oil film can be quantized, the thickness of an oil film in a spilt oil area can be calculated without entering an ocean spilt oil pollution area, and requirements of ocean split oil emergency monitoring and evaluation can be met.

The invention discloses an artificial intelligence auxiliary radiograph reading system for a cervix uteri cell sap liquid-based smear. The system comprises a cell image acquisition module, a cell image preprocessing module, a cell image detection segmentation module, a quick hierarchical recognition module of a cell and an interpretation and postprocessing module, wherein the cell image detection segmentation module is used for automatically detecting different cell ingredients of the image cell, and simultaneously carrying out automatic segmentation on a cell nucleuse, cytoplasm and a background in the same cell ingredient, and a segmentation result is trimmed and optimized; the quick hierarchical recognition module of the cell is used for identifying a segmented image and distinguishing the segmented image into a single cell or a cell cluster; a double-current convolutional neural network of an additional knowledge field and a constructed cell mapping knowledge domain are adopted to carry out hierarchical recognition on single cell to independently obtain two hierarchical results; a double-current convolutional neural network of the cell cluster is adopted to realize the recognition of inseparable cell clusters; and the interpretation and postprocessing module is used for carrying out combined interpretation on two types of hierarchical results of the single cell, and conflict processing is carried out to obtain the hierarchical result of the single cell.

The invention relates to the field of gas field development research, in particular to a method for predicting dynamic open-flow capacity of fractured horizontal wells for tight sandstone gas reservoirs. The method includes coupling gas reservoirs, fracture and wellbores to obtain gas and liquid two-phase flow productivity equations for optional fracture locations of the fractured horizontal wells; building corresponding fractured horizontal well numerical models on the basis of reservoir stratum parameters and fracture parameters to obtain relation curves and fitting relational expressions of non-dimensional gas release boundaries and gas test time; computing gas release boundaries of the fractured horizontal wells at production phases by the aid of dynamic reserves inverse processes; solving the gas and liquid two-phase flow productivity equations on the basis of phase permeability curves obtained by rock core tests so as to obtain the dynamic open-flow capacity of the fractured horizontal wells at the different production phases. The method has the advantages that influence of difference of physical parameters of reservoir strata, change of the fracture parameters, difference of gas well open-flow test time, external fracturing fluid and movable water of formations on open-flow capacity is taken into consideration, accordingly, the open-flow capacity of the fractured horizontal wells at the different production phases can be predicted by the aid of the method, and the prediction practicality and reliability can be improved.

The invention discloses a method for predicting the plane distribution law of the effective natural fissures of an oil reservoir and belongs to the field of natural fissure research. The method comprises the following steps: according to the conventional fissure recognition and description technologies, preliminarily determining the characteristic parameters of the natural fissures of the ultra-permeability dense oil reservoir; acquiring the preliminary distribution law of the natural fissures according to the finite element method; according to the characteristic parameters and the preliminary distribution law, building a reservoir-bed fissure geologic model; according to the sequence stratigraphy and the phase-controlled modeling technology, building a reservoir bed matrix geologic model; according to development conditions of the natural fissures in different matrixes, combining the reservoir bed fissure geologic model and the reservoir bed matrix geologic model and building a preliminary reservoir bed geologic model taking the natural fissures into consideration; on the basis of the preliminary reservoir bed geologic model taking the natural fissures into consideration, acquiring the plane distribution law of the effective natural fissures by adjusting the characteristic parameters to be fitted with production data. The method provides a reliable basis for optimizing a development technology policy.

The invention discloses a method for measuring overburden porosity with water in permeation fluid mechanics experiment. The method comprises the following steps of: adding ambient pressure around the core with known pore volume; injecting the single-phase fluid with known compression coefficients into the core in a saturated manner, and enabling pressure at the two ends of the core to conform to the actual conditions of the stratum; and then, sequentially increasing the ambient pressure, and sequentially measuring the change of pore pressure in the core after the ambient pressure is increased so as to determine the change of pore volume and determine the porosity change under an overburden condition. The measuring method disclosed by the invention is applicable to the overburden porosity research in the field of low-permeability and ultralow-permeability storage layer stress sensitive research; and the method can realize overburden porosity research on rock while simulating the overburden pressure on a real storage layer, pore pressure and real fluid parameters. The test equipment adopted by the method is simple, and the test principle is clear; and compared with the method for measuring overburden porosity with air, the effective porosity measured by the method disclosed by the invention can better reflect the overburden porosity characteristics of the real storage layer, and quantitative research on the overburden porosity of the storage layer can be realized.

The invention, which belongs to the field of unmanned underwater vehicle control research, particularly relates to an under-actuated UUV trajectory tracking sliding-mode control method for the input time lag. On the basis of the control idea of the cascaded system, longitudinal, heading and pitching control laws of an integrated time-delay sliding mode for eliminating the virtual control error arecalculated for external unknown boundary disturbance and parameter perturbation; according to the control laws, the longitudinal speed, heading angle, and pitching angle speed of the UUV are adjusted, thereby completing the UUV trajectory tracking sliding-mode control process. According to the invention, the virtual under-actuated UUV is established and the under-actuated UUV trajectory trackingcontrol problem is converted into the tracking error stabilization problem, so that the computing process is simplified; with the sliding-mode control, the control performance and robustness of the system are enhanced; and the time constraint requirements of the position, speed and attitude by under-actuated UUV three-dimensional trajectory tracking are met.

The invention provides a computing method for the representative elementary volume of a jointed rock, which belongs to field of geotechnical engineering calculation parameters. According to the invention, a multi-scale jointed rock sample with an indoor test scale, an on-site in-situ test scale, an engineering scale and the like capable of fully reflecting joint spatial distribution characteristics and rock and joint mechanical characteristics is constructed based on indoor rock and joint mechanical tests and on-site joint geological survey, and virtual uniaxial compression loading is carried out on the sample to obtain a stress-strain curve; a relational graph of uniaxial compressive strength of a variety of jointed rocks and loading-direction sample dimension is drafted, and a relation curve is fitted; in the fitted relation curve, if a ratio of reduction amount of the uniaxial compressive strength to uniaxial compressive strength of an indoor rock sample is less than 0.2% when the loading-direction sample dimension of the jointed rocks is increased by 1 m each time, it is believed that uniaxial compressive strength of the jointed rocks does not change with increase of dimension, and the representative elementary volume of the jointed rocks is obtained. The method provided by the invention has the advantages of simple principles, convenient operation, low cost and a good usage effect and facilitates determination of the representative elementary volume of the jointed rock.

A method and system for returning an optimum (or near-optimum) solution to a nonlinear programming problem. By specifying a precision coefficient, the user can influence the flexibility of the returned solution. A population of possible solutions is initialized based on input parameters defining the problem. The input parameters may include a minimum progress and a maximum number of iterations having less the minimum progress. The solutions are mapped into a search space that converts a constrained problem into an unconstrained problem. Through multiple iterations, a subset of solutions is selected from the population of solutions, and variation operators are applied to the subset of solutions so that a new population of solutions is initialized and then mapped. If a predetermined number of iterations has been reached, that is if the precision coefficient has been satisfied, the substantially optimum solution is selected from the new population of solutions. The system and method can be used to solve various types of real-world problems in the fields of engineering and operations research.

The invention discloses a multi-factor comprehensive quantitative analysis and sorting method for academic influences of scientific research institutions. The method includes the steps that document retrieval of a specific research field is performed in a citation database, and document metadata of the field are acquired; metadata of the relevant scientific research institutions are extracted according to the document metadata of the field; a weighed cooperation network of the scientific research institutions is constructed according to the metadata of the scientific research institutions; on the basis of the weighed cooperation network of the scientific research institutions, a factor graph model including multiple factors of the academic influences of the scientific research institutions is established; a circulation max-sum algorithm is used for performing approximate reasoning on a factor graph, variables of the factor graph are determined and edge probability values of all the factors are concentrated; academic influence sorting of the scientific research institutions in the research field retrieved by users is acquired and output according the descending sort result of the edge probability values. Due to the multi-factor comprehensive quantitative analysis and sorting method for the academic influences of the scientific research institutions, scientific research personnel can accurately position the high-academic-influence scientific research institutions, track research results and improve scientific research efficiency easily.

The invention belongs to an auto-fluorescence molecule image system which comprises a camera bellows, a CCD camera lens control module, an image processing module, an interactive analysis module and a database module. A system factor corrected by an integrating sphere can be converted into a photon density in an interesting area by the system through a pixel value. The system can work after a temperature value of the CCD camera is set and locked. Firstly, the light source in the camera bellows is opened to shoot an outline of a target object, then the light source is closed to capture a fluorescence signal which projects the outline of the detected object, and the signal is superposed with the outline image. User can choose the interesting area by using a selecting tool so as to acquire a photon density value for performing scientific research. The system of the invention can provide a database function for the user to conveniently manage the data and preview the images. The system of the invention has the advantages of reasonable structure, obvious function, convenient operation, low cost, wide application in the field of researching the small animals in non-invasive biologic experiment.

The invention belongs to the field of pretreatment study of environmental pollutants and relates to a separating flotation device and method for micro plastics, in particular to separating flotation of micro plastic particles in the environment soil and sediment samples. The device comprises a separation reactor and a filter, and the micro plastic particles in the soil and sediment samples are subjected to separating flotation with aeration and overflow methods. The device is simple, simple and convenient to operate, low in time consumption and efficient, and defects of tedious operation and high time consumption of a traditional micro plastic separating flotation method are overcome. Besides, a separating flotation solution is efficient, economical and recyclable, and environmental pollution is reduced while cost is saved.

The present invention discloses a farmland underground eluviation and surface runoff monitoring integration device which belongs to the fields of environment science, agrology and plant nutrition. The device of the present invention comprises of runoff pool, eluviation disk, outlet pipe, sampling bottle and runoff collecting pipe; eluviation disk is mounted horizontally on the runoff pool at aim depth of upright soil section, sampling bottle is connected with water outlet of eluviation disk through outlet pipe to collect eluviation solution; runoff collecting pipe is a four-way pipe like a Chinese word 'Shang' containing one water outlet and three lockable infall with different high; each runoff pool is communicated with at least one water outlet of runoff collecting pipe. The present invention is particularly suitable for monitoring the affects of ground water of soil solute such as nitrogen, phosphor, pesticide and so on, specially under the condition of original monitoring, can monitor soil eluviation and runoff at the same time and the same position, the nicety is improved and the sampling process is easy and rapid.

The invention provides a method for calculating the extinction coefficients of a three-dimensional forest canopy under any given incident ray by using a geometric algorithm, belonging to the research field of a method of acquiring the structural parameters of the forest canopy. The method for calculating the extinction coefficients of the three-dimensional forest canopy by using the geometric algorithm comprises the following steps: acquiring and preprocessing the three-dimensional laser-point cloud data of a plant canopy; carrying out three-dimensional gridding on the point cloud data; carrying out point cloud slice arithmetic based on a voxel data structure; carrying out linear sampling analysis on the point cloud slices; calculating an average projection coefficient of a kth layer of slices; and calculating the extinction coefficient of any given incident ray in each layer of slices and the extinction coefficient of whole canopy. Compared with the traditional observing way, the invention has the characteristics of being small in working amount, and free from the contact observation and the damage of the canopy structure and radiation, and has objectiveness, high efficiency and precision; a method of extracting the three-dimensional structures and biological and physical diversity information from the laser radar data is developed to characterize the horizontal and vertical distribution change rules of the leaves.

The invention relates to a soil infiltration capability measuring system; the soil infiltration capability real time automatically measuring system in the invention comprises a rainfall or water device, a underlying surface soil device, a data acquisition device, a data intelligent processing system and a display device; wherein the data acquisition device is used to acquire a runoff pushing coverage area image or a soil humidification area image and records the concrete time; the data intelligent processing system is used to process data to acquire the image acquired by the device and output the soil infiltration rate value, curve or image into the display device. The invention has the advantages of easy operation, convenient transportation and transference, low cost, big labor saving and big material saving; furthermore, the invention can swiftly and accurately acquire the measuring result with real time, is suitable for indoor measurement as well as countryside measurement and other occasions, is not limited to the terrain and has wide popularization and application value in the research fields such as hydrological process, crop water utilization, irrigation management and soil corrosion.

The invention belongs to the technical field of preparation of catalysts and particularly relates to a reduced graphene supported molybdenum or tungsten carbide catalyst and a preparation method and application thereof. The preparation method of the reduced graphene supported molybdenum or tungsten carbide catalyst comprises the following steps: (1), synthesizing a heteropolyacid-polymer conductor / reduced graphene composite through a one-pot reaction method by using molybdenum- or tungsten-containing heteropolyacid, a polymer conductor and graphene as raw materials; (2), under the protection of an inert gas, thermally treating at 700-1100 DEG C for 2-5 h, and cooling and pickling to obtain the reduced graphene supported molybdenum or tungsten carbide catalyst. The preparation method of the catalyst is simple, the presence of a unique structure provides a great limitation on the agglomeration of molybdenum or tungsten carbide nanoparticles and an enhancement in their dispersity, excellent hydrogen production from water electrolysis is shown, and the preparation method is also applicable to the fields of studies such as energy storage and conversion studies for electrocatalytic reduction of oxygen, lithium ion batteries and the like.

The invention discloses a soil leaching liquor collection method under natural conditions, which belongs to the research field of environmental science, soil science and plant nutrition. The soil leaching liquor collection method of the invention mainly includes the following steps: a soil profile in the vertical direction is obtained and the dug-out soil is piled up layer by layer according to depth; a horizontal cave is dug based on the target depth of the soil profile and the upper surface of the cave is guaranteed to be level; a leaching plate is inserted into the cave and slurry modulated out of soil of the soil layer of the target depth is placed into the leaching plate; the dug-out soil is backfilled layer by layer and then compacted layer by layer, moreover, in order to recover the raw condition of the backfilled soil as possible, the backfilled soil is irrigated for a plurality of times. The method of the invention can realize collecting and monitoring the soil leaching liquor under natural conditions, in particular is suitable for monitoring the influence caused by the soil leaching liquor of such soil solute as nitrogen, phosphorus and pesticide, etc., on the groundwater.

The invention belongs to the field of studies on stability of rock and earth masses under a multi-field coupling effect, and particularly relates to a thermo-hydro-mechanical multi-physical field coupling simulation experiment system suitable for the rock and earth masses and a use method thereof. The thermo-hydro-mechanical (THM) coupling simulation experiment system mainly comprises a monitoring mainframe, a triaxial pressure test mainframe, a heat pump control circulating system, a GDS pressure-volume controller group and a data collector; by carrying out gradual in-depth studies on influence of a mechanical unloading process on the mechanical properties and the hydraulic properties of the rock and earth masses and the influence of temperature loads on the damage evolution law, the permeability and the thermal conductivity of the rock and earth masses on the surrounding of a chamber, and the interaction and mutual influence conditions between of a stress field and a seepage field (HM), between the stress field and a temperature field (TM) and between the seepage field and the temperature field (TH) are disclosed.

The invention discloses a method for detecting stress and strain of a road surface, belonging to the field of structure performance research of bituminous road surface. In the method, a bituminous layer strain sensor, a soil pressure case, a temperature sensor and a shaft sensor are embedded at the proper position of the road to be tested; and the data collected by a high-speed data collecting system is analyzed and processed to obtain the stress and strain of the road surface. The data measured by the method can reflect the actual situation of the road surface and has favorable values for promotion and application. The invention can be widely applied to the stress state, change rule and detection technology research inside the road surface under the action of traffic load and the coupling action of environmental variation.