851results about How to "Break through limitations" patented technology

The invention relates to a method and system for establishing a multilayer oil pool inter-well connectivity model. The multilayer oil pool inter-well connectivity model capable of simulating oil and water dynamic states is established oriented to the limitation that by means of a current connectivity model, only the dynamic change of production liquid can be predicted, the dynamic states of the oil phase and the water phase cannot be calculated respectively, and connectivity analysis cannot be carried out layer by layer. According to the model, an oil pool system is layered and scattered into a series of inter-well communication units, matter balance equation calculation is carried out with the inter-well communication units as simulating objects, pressure solving and inter-well flow calculation are achieved, an inter-well saturation degree tracking calculating method is established with the combination of the lead edge boosting theory, and the output dynamic states of oil and water of all layers at well points are obtained; a model parameter inversion method is established in a fitting mode through dynamic states based on a random disturbance approximation method, a projection gradient method and the like. Layered inter-well flow distribution coefficients, single well longitudinal production liquid and production oil splitting coefficients and other information can be obtained in real time, the oil pool plane, the longitudinal oil and water flow relation and the production measure change can be more accurately reflected to guide the practical production of an oil field.

The invention discloses a fingerprint payment certificate server, a fingerprint payment method and a system thereof. The server comprises a prepositioned server, which receives packaged data transmitted by a payment terminal which transacts based on fingerprint information, and comprises a preprocessing unit, a memory and a transaction server, wherein the preprocessing unit unpacks and deciphers the packaged data to obtain fingerprint information data and transaction data; the memory prestores user identity information including pre-acquired user fingerprint characteristic data; the transaction server is in signal connection with the prepositioned server and the memory, and certifies the user identity by comparing the fingerprint information data acquired by the prepositioned server with the fingerprint characteristic data of a corresponding user in the memory; and when the user identity is certified successfully, the transaction data is transmitted to a bank server. The fingerprint payment certificate server plays a role of a third party authenticator between the user and the bank, avoids the problem that impartiality deficiency of proof existing in unilateral certificate, and improves the convenience for user payment at the same time.

The invention discloses a spectral image-based meat quality visual non-contact detection method. By means of spatial distribution information and spectral characteristic information which are contained in a spectral image and reflect the characteristics of an object to be detected, multiple indexes of meat quality (such as water content, water activity, volatile basic nitrogen, meat color, microorganism counts, acid value and pH value) are respectively or comprehensively evaluated, and evaluation results are given in an image mode according to spatial distribution conditions of specific indexes in the object to be detected. The method can be used for quick and non-contact inspection of meat production, processing, storage, transportation and marketing links, inspection results are accurate and objective, and the expression mode is intuitive, so that a guarantee means for supervising the production and marketing quality safety of meat is provided.

The invention discloses a commodity recommendation method based on model matching, which mainly comprises the following steps of: establishing a commodity description model, wherein the commodity description model comprises two parts, i.e. a character introduction and description part and an attribute information part; establishing a user preference model, ensuring that the user preference model is based on the commodity description model and fusing a plurality of commodity description models through the user preference model; calculating the similarity between the commodity description model and the user preference model; and ranking according to the similarity to recommend to a user. According to the commodity recommendation method, the potential interest of the user can be fully explored, and the accuracy of commodity recommendation can be realized.

The invention provides a multi-process 3D (three dimensional) printing method. A three-dimensional model is subjected to hierarchical processing to obtain the material composition and profile information of each layer of cross section; different printing mechanisms are selected according to different material composition information; in a powder distributing mechanism, a gradient material printing mechanism and a microdroplet ink jet printing head mechanism, different powder or liquid materials are respectively loaded into corresponding material boxes according to different printing regions and different printing materials, and the materials are evenly printed on the corresponding printing regions in sequence, so the integrated printing of mixed material objects of different kinds and structures is realized by adopting multiple materials and multiple technologies. The multi-process 3D printing method has the advantages that the limitation of the existing 3D printing that a single technology is adopted and only single-material homogeneous printing is realized is overcome; the printing of a complex structure is easily realized; and convenience is provided for printing a 3D object.

The invention discloses a visualization testing method and device for a granular material mechanics experiment. The method comprises the following steps: putting luminous millimeter-sized granules into a visualization loading device capable of applying a compression/shear load; starting a light source to propagate light emitted by the light source along a polarizer, a quarter-wave plate, the visualization loading device, a quarter-wave plate, an analyzer and a camera in sequence; and applying the compression load, the shear load or the combination of the compression load and the shear load to the granules according to corresponding experimental requirements. In a loading process, fringes which are alternately dark and bright are formed in an image acquired by the camera; according to a stress-optical law, the size change of the stresses at different positions in the millimeter-sized granules can be directly observed through the density of the fringes or the light intensity; and after the image acquired by the camera is processed, the stress distribution in granular media can be identified and metered, and the contact stress between the granules, the thickness and angle of shear bands in the granular media and the distribution and trend of mechanical chains can be visualized.

The invention relates to a saline-alkali soil conditioner and a preparation method thereof. The saline-alkali soil conditioner is constituted by glacial acetic acid, citric acid, oxalic acid and tap water. The preparation method comprises the following steps: weighing the tap water, citric acid and oxalic acid according to weight ratio and placing in a reaction kettle; starting stirring, warming up to 40 DEG C to 60 DEG C for 0.5 hour to 1 hour; weighing the glacial acetic acid according to weight ratio and placing in the reaction kettle; stirring, warming up to 50 DEG C to 60 DEG C for 0.5 hour to 1 hour; cooling down to 25 DEG C to 40 DEG C; carrying out measurement packaging after the samplings pass the inspection to obtain the finished product of saline-alkali soil conditioner. The saline-alkali soil conditioner in the invention is simple in manufacturing process, low in raw materials and production cost, and can realize the improvement of soil physicochemical property, inhibit theascending of saline matter and neutralizing the alkalinity of the soil.

The invention belongs to the technical field of biology, and discloses a polypeptide containing two chimeric antigen receptor structures, nucleic acid for coding the polypeptide, a modified T lymphocyte, and a preparation method and application of the T lymphocyte. The polypeptide provided by the invention contains the two chimeric antigen receptor (CAR) structures, wherein one chimeric antigen receptor structure specifically targets a tumor cell, and the other one specifically targets a normal B lymphocyte, so that a CAR-T cell is effectively amplified through recognizing the B lymphocyte ofa blood circulation system, and more CAR-T cells arrive at a solid tumor part so as to specifically kill the tumor cell for improving a treatment effect on the solid tumor. The polypeptide further comprises an ScFv structure of an anti-PD-L1 monoclonal antibody, and the CAR-T cells can simultaneously secrete a PD-L1 monoclonal antibody which interdicts an immunosuppressive action medicated by a PD1/PDL1 signal pathway and T cell failure, so that the treatment effect on the solid tumor is improved, the functional activity of immune cells in vivo is prolonged at the same time, and finally the tumor recurrence is retarded and even avoided.

The invention discloses a titanium alloy and a preparing method thereof, the titanium alloy comprises chemical components in percent by weight: 33wt%-40wt% of Nb, 0.3wt%-0.5wt% of O and the balance of Ti; or the alloy comprises the components in percentage by weight: 33wt%-40wt% of Nb, 0.3wt%-0.5wt% of O, one or more of following element groups: 0-3wt% of V, 0-1wt% of Mo, 0-3wt% of Al, 0-3wt% of Sn and 0-4wt% of Zr and the balance of Ti. Components of the alloy in the invention are optimally designed, low-stacking fault energy large-sized ultra-fine grain/nanocrystalline titanium alloy can be obtained by smelting, thermal processing and cold processing, the titanium alloy has excellent match of strength and plasticity, the preparing method breaks through limitation of preparing of a titanium alloy nano-material in the prior art, processing control difficulty and manufacturing cost are reduced, the production efficiency is improved and the titanium alloy and preparing method have a broad application prospect.

The invention discloses a machine-vision-based raster stereo image flat printer for realizing stereo printing on a raster plate matrix. The printer comprises a printing system, a visual sense measuring system and an error correction processing system, wherein the visual sense measuring system is used for obtaining the image of a raster plate on the printing system and detecting a position and an angle; the error correction processing system calculates the position deviation of the raster plate and the printed image according to the position and the angle and controls the printing system to perform corresponding position error correction according to the deviation so that a stereo image can be obtained by printing at an accurate position. By using the printer and the method provided by the invention, the problems of low printing precision, complicated operation, difficult automation realization and the like in a conventional raster stereo image printing process can be overcome, a method of machine visual sense measuring positioning and mechanical and visual sense auxiliary error correction is adopted so that the stereo image printing based on the raster plate can be realized, the material adaptability can be improved, the operation is convenient, and the printing precision is high.

The invention relates to a fire box hidden door structure which comprises a U-type rotating shaft transmission device, two sector tri-petal type hinge devices and hyperbolic door guiding and limiting devices. The two sector tri-petal type hinge devices are arranged on the two sides of the U-type rotating shaft transmission device through a rotating shaft respectively to achieve eccentric moving and hyperbolic opening of a door. The hyperbolic door guiding and limiting devices comprise two wedge-shaped fixing blocks, wherein one hyperbolic door guiding and limiting device is fixed between the fire box hidden door and the rotating shaft, the hyperbolic door guiding and limiting device stops rotating when the door is opened to 180 degrees for the second time, and the other hyperbolic door guiding and limiting device is fixed inside the U-type rotating shaft transmission device to control a door leaf not to collide with an outer fade facing when the door leaf is opened for the first time. The fire box hidden door structure widens the applied range of a fire box, eccentric moving and hyperbolic opening are achieved, and thus the door leaf can be opened to 180 degrees.

An auto-lift environment-friendly material platform for planting of submerged plants comprises a planting platform and a fixture for fixing the planting platform and is characterized in that the planting platform comprises a frame and a bearing face, a diatomite layer serving as a growth medium and a palm fiber braid upper layer with reserved planting holes are arranged on the bearing face sequentially, the frame is provided with a light sensor for sensing underground light intensity, the light sensor is connected with a control system that controls a lifting device, and the planting platform is automatically liftably arranged on the fixture through the lifting device. The auto-lift environment-friendly material platform for planting of submerged plants is simple in structure and made of environment-friendly material, breaks the manual operation limits, is automatically lifted through the light sensor, allows submerged plants to be planted effectively under poor water transparency, and is low in cost, good in treatment effect and convenient to maintain.

The invention discloses a drawing architectural element identification method and system based on machine learning. The drawing architectural element identification method is based on the method of combining a rule and machine learning. Rule matching and mathematical modeling are conducted on vector diagram metainformation obtained from a drawing, the feature distribution law of an architectural element in the drawing is strictly and accurately analyzed through the training process, the data sets of a primitive database, an architectural element rule base and an architectural element feature base are formed, the architectural element identification method in the probability sense is obtained, and the recognition rate of an architectural element and a property parameter of the architectural element are further improved. The drawing architectural element identification system based on machine learning tries to break through the limitation of an existing drawing identification method, provides an efficient drawing analysis and identification tool for a metro design and construction department, and has the three advantages of being high in precision ratio, identification efficiency and intelligent degree.

The invention relates to a non-contact vital sign data monitoring system and a non-contact vital sign data monitoring method. The monitoring system comprises a video acquisition unit, an image processing unit, a temperature monitoring unit and an output unit. Preferably, vital signs include temperature and/or respiratory frequency; preferably, the video acquisition unit and the output units are intelligent terminals, and the image processing unit is an intelligent terminal with a photographing function; and particularly, a monitoring function of vital sign data is achieved through a smart phone or a tablet personal computer with the photographing function and the temperature monitoring unit. Compared with a traditional vital sign data acquisition system, the system is free of dependence on instrument contact, high in portability, accuracy and sensitivity and extremely wide in application range.

The invention discloses a dynamic phasor modeling method for a current converter of a high-voltage direct-current transmission system, which is applicable to various operating conditions and fault conditions. The method comprises: calculating the actual trigger angle, the actual phase conversion angle and the actual delay flow angle of various converter valves in the current converter according to first dynamic phasor and direct-current zero-order dynamic phasor of the voltage between phases of a converter bus; calculating the three-phase voltage switch function and the three-phase current switch function according to the actual trigger angle, the actual phase conversion angle and the actual delay flow angle of the various converter valves; and establishing a dynamic phasor model according to the three-phase voltage switch function and the three-phase current switch function. The method can realize the establishment of the dynamic phasor model of the current converter under various operating conditions and fault conditions of AC, reduces the calculation amount, has the precision capable of meeting the requirement of engineering application, and can be applied to simulation analysis of dynamic characteristics of an AC system in an AC and DC compound system under various normal operating conditions and fault conditions.

The invention relates to a missile-borne anti-interference-antenna automatic test system and a test method. The automatic test system comprises an interference antenna array, an interference source, a switch matrix, a test rotary table, a rotary table controller, a calibration reference antenna, a frequency spectrum analyzer, a navigation receiver and a monitoring station. The interference antenna array comprises a plurality of antennas. The antennas are three-dimensionally distributed in a mouse cage shape. The test rotary table is arranged on a center of the interference antenna array. An anti-interference antenna is arranged on a rotating disk of the test rotary table and is rotated along with the rotating disk. And a height of the anti-interference antenna is controllable. Interferences are exerted from every direction which includes a backward direction of a tested antenna, and a limitation that the interferences are traditionally exerted only from a forward direction is broken through so that the test system can simulate a real situation. A statistics method is used, positioning precision is introduced and is taken as a criterion, and validity and integrity of the test are increased.

The present invention is the production process of aluminum template with nano holes, and is especially the combined anode oxidation and ion bombardment process of producing aluminum template with nano holes in high density and high order. The technological process includes annealing aluminum foil, cleaning, electrochemical polishing, anode oxidation in water solution of oxidizing acid, such as sulfuric acid, oxalic acid, phosphoric acid, to form alumina film, ion bombardment to form holes in the film physically, water rinsing and stoving. The technological process is simple and low in cost, and the holes are densely distributed in certain order and have controllable shape and size of several nano to 100 nano. The said template may be used widely in direct assembling of nano device except its traditional industrial application.

The invention provides a double-column rotary corrosive-wear testing machine, comprising a testing stand, which is provided with two columns, wherein a crossbeam is arranged on the columns and a through hole is formed in the center of the crossbeam; a crossbeam elevating and driving mechanism, which is arranged on the test stand and connected with the crossbeam; a testing drum, which is arranged on the center of the test stand, wherein an annular temperature control/cooling pipeline is arranged in the lower part of the testing drum; a transmission shaft, which passes through and is arranged in the through hole in the crossbeam; a sample clamping disc, which is fixed at the lower end of the transmission shaft, wherein the upper end surface of the sample clamping disc is provided with an annular groove, and the outer sides of the annular groove are provided with installation through holes; working electrodes, i.e., to-be-tested samples, which are inserted into the installation through holes; an auxiliary electrode, i.e., an annular platinum wire, which is arranged in the annular groove of the sample clamping disc; reference electrodes, which are uniformly distributed on the sample clamping disc at positions corresponding to the working electrodes; and a dynamic connection pool, which comprises annular dovetail cups, wherein the annular dovetail cups sleeve the upper part of the transmission shaft, leading-out circular rings are arranged at the bottom of the inner sides of the annular dovetail cups, the outer sides of the leading-out circular rings are provided with wiring copper columns penetrating the bottoms of the cups, the interior of each annular dovetail cup is provided with an electric needle, the lower ends of the electric needles are certain distance away from the leading-out circular rings, and the working electrodes, the auxiliary electrode and the reference electrodes are connected with the dynamic connection pool through leads.

The invention belongs to the technical field of road safety evaluation, and discloses a road sight distance detection method and device based on a visual image. The method comprises the steps: building the road sight distance detection device which comprises an image obtaining unit, an image coordinate determining unit, a road slope information calculation unit, an inverse perspective processing unit, a road length determining unit and a driving sight distance calculation unit; obtaining a driving image, driving parameters, and photographing parameters; continuously determining coordinates (c, r) of a lane in the driving image; continuously carrying out the inverse perspective transformation processing of the driving image according to the photographing parameters, and converting the coordinates (c, r) of the lane into inverse perspective lane coordinates (X, Z); continuously determining the length L<left> of a left road in front of a vehicle and the length L<right> of a right road in front of the vehicle according to the inverse perspective lane coordinates (X, Z); and finally determining a driving sight distance L according to the position of the vehicle on the lane, the length L<left> of the left road in front of the vehicle and the length L<right> of the right road in front of the vehicle.