97results about How to "Has limitations" patented technology

The invention belongs to the field of umbrella manufacturing, relates to a rib processing technology and in particular relates to an automatic rib processing machine. The machine comprises a rack and a rib blanking mechanism, a rib conveying mechanism, a saddle pushing device, a stamping device, a power system and a discharge box which are arranged on the rack, wherein the power system drives the rib conveying mechanism, the stamping device and the saddle pushing device to act; and the discharge box is used for recycling processed ribs. The machine has the following beneficial effects: through design, arrangement and combination of such components as the rib blanking mechanism, the rib conveying mechanism, the saddle pushing device and the like, the absolute mechanization and automation of the two most critical stamping procedures in the saddle and rib fixing process in the rib processing process are realized, thus thoroughly solving the problems of high cost, low efficiency, poor quality and the like of manual rib processing, effectively improving the rib processing efficiency, lowering the labor cost and ensuring the product quality; and the machine moves another step in the development of the umbrella machinery processing process.

The invention belongs to the field of pipe connection, and particularly relates to a rapid coupling which is applied to the connection pipes and valves of fluids such as gas and liquid. The quick coupling comprises three components, namely a connection body, a sealing ring and a multifunctional movable sleeve; the three components can be freely assembled, disassembled and changed; the sealing ring is arranged between a ring-shaped boss in the connection body and a fixed limiting pin of the multifunctional movable sleeve and only moves in the range of the sealing wall of the connection body; the quantity of square side through holes of the connection body is equal to the quantity of elastic arm barb claws on the multifunctional movable sleeve; the elastic arm barb claws are correspondingly arranged and hooked on the hook walls of the square side through holes; and the inclined planes of the square side through holes of the connection body are staggered away from the inclined planes of the barb claws of the multifunctional movable sleeve. The quick coupling provided by the invention has the effects of overcoming the defects of the conventional quick couplings, enabling the mounting and dismounting between the connection pipes as well as between the connection pipes and the valves to be convenient and quick, being simple in structure, simple in manufacturing process and high in production efficiency, reducing the production cost and having wide application.

The invention discloses an object feature extraction method based on fractional order Fourier transform, mainly for solving the problems of single feature and poor classification effect in feature extraction of the process of extracting three kinds of airplane objects. The technical scheme is as follows: 1, performing the fractional order Fourier transform on training signals; 2, extracting features from the transformed training signals; 3, performing feature selection on the extracted features; 4, training a classifier by use of selected features; 5, performing the fractional order Fourier transform on test signals; 6, extracting the features selected from the third step from the transformed test signals; and 7, sending the features extracted from the test signals into the well trained classifier so as to finish classification of the three kinds of the airplane objects. According to the invention, conventional time domain and Doppler domain features are expanded to a fraction domain, object echo features can be better described, the classification correct rate is improved, and the method can be applied to classification of such three kinds of objects including helicopters, propeller-driven airplanes and jet aircrafts.

The invention discloses slightly-expanded oil well cement, belonging to the technical field of well cementing and cementing for oil and gas wells. The well cementing cement comprises the following raw materials in parts by weight: 50 to 80 parts of gel material, 20 to 40 parts of active materials, 0.5 to 3 parts of magnesia expanding agent, 0.1 to 8 parts of alkaline activator, and 2 to 5 parts of stabilizing material; the magnesia expanding agent is light calcined magnesia powder. The slightly-expanded oil well cement disclosed by the invention is mainly used for solving the problem that the expansion effect of expanding cement is poor to influence the early strength in the prior art and has the advantages of good expansion properties in the early, medium and later stages of cement hydration.

The invention discloses a system and a method for realizing seamless upgrading of a sidecar based on addition of a temporary container. The system comprises a shared storage volume which is stored ina shared memory and mounted on a container group, an mirror image storage controller which packages the new sidecar control program and the new sidecar agent program into a sidecar container mirror image transmitted to a hot upgrading controller, a hot upgrading controller which transmits the sidecar container mirror image to a temporary container controller according to the hot upgrading signal,and a temporary container controller which injects a temporary container into the container group through the sidecar container mirror image. The new sidecar control program in the temporary containeris connected with the old sidecar control program through the shared storage volume, and the new sidecar control program gives a new ID to the new sidecar agent program; and the new sidecar agent program acquires data information in the old sidecar agent program for hot update to complete flow takeover, an instruction is sent to the old sidecar agent program through the Unix domain socket after the new sidecar agent program is started, and the old sidecar agent program exits after receiving the instruction.

The invention provides a method for manufacturing a matrix by the adoption of a 3D printing technology. The method comprises the steps that a sample and a sample image are selected according to needs; the selected sample image is designed and remade through manual drawing, and a redesigned sample image is obtained; the redesigned sample image is subjected to three-dimensional forming treatment, and a three-dimensional digital model of the sample is obtained; and the three-dimensional digital model of the sample is guided into a 3D printer, the machine is edited for printing treatment, and a printed matrix is formed. The method provides a novel rapid lacquer matrix manufacturing mode, the defect occurring when a traditional matrix is manufactured is overcome, and as the photosensitive resin 3D printed matrix and paper matrix completeness is high and the surface is smooth, financial resource, material and labor consumption caused by matrix manufacturing in the earlier stage is greatly reduced and the technique processes are reduced. The matrix can be obtained only by slight polishing, priming and lacquer coating. Time and labor are saved, and more crafts and techniques can be tried.

The invention relates to a CT (Computed Tomography) imaging method, in particular to the CT imaging method of a three-dimensional multi-well combined well land, which belongs to the technical field of engineering seismic exploration. The method comprises the steps of: based on initial arrival of a single shot of a field record, establishing a speed model when field seismic travel is picked up through the initial arrival; forward modeling and solving a ray path and a theoretical travel; then establishing an inversion equation; modifying the speed model according to time residual of travel; iterating successively and inversely calculating; and finally obtaining a high precision medium speed field. In engineering reconnaissance, generally, abnormal bodies in small scale are to be solved, and higher resolution is required. The CT imaging method of the three-dimensional multi-well combined well land is high in probe precision, low in reconnaissance cost, simple in structure, visualized in probe result, intuitionistic and clear and convenient to identify and can assist or partially replace the drilling work.

The invention provides an RBAC (Role-Based policies Access Control) accessing control model based on an organization. The RBAC accessing control model comprises users, organizations, roles, objects, operation, conversations and constraint, wherein an organization concept is introduced; each organization is a core and a basic element of the model; all the objects and roles are attached to one certain organization and have only one owner; one organization can own a plurality of users, a plurality of roles and a plurality of objects; the organizations have a leveled relation; the roles of one organization can be given to the other organization to use through authorization between the organizations. The RBAC accessing control model has the beneficial effects that a strict safety strategy can be applied and the authorization requirements of a flexible and complicated system are met; a hierarchical authorization problem and a problem of organizing and managing various object organizations in a complicated system are solved effectively; the RBAC accessing control model can be used for conveniently organizing and managing the objects; dynamic objects are introduced, so that the adaptability is enhanced.

The invention relates to a stereoscopic vision three-dimensional displacement measurement method based on structure surface point features. The invention relates to the technical field of structure measurement, and aims to solve the problems of limitation and poor practicability in arrangement of an artificial target on the surface of a structure in a visual measurement process. The method comprises the following specific steps: performing image acquisition on a structure surface in a deformation process by adopting a stereoscopic vision system to obtain left and right image sequences, and preprocessing the image sequences; extracting feature points in the region of interest of a reference image and the search subareas of the image sequences; carrying out left and right image stereo matching and left and right image sequence matching at the initial moment; obtaining three-dimensional coordinates of each feature point at each moment; and obtaining the displacement information of the measurement structure. The method can be applied to the field of structure three-dimensional displacement measurement.

The invention discloses a DDADSM-based cross-subject transfer learning electroencephalogram mental state detection method. The invention discloses a method for classifying and detecting electroencephalogram data by adopting a transfer learning method of firstly carrying out double-subspace feature space mapping and then carrying out dynamic distribution alignment. The method is an important innovation and attempt of an electroencephalogram migration learning detection method, and can reduce the spatial drift problem of a traditional single subspace migration learning method and the problems ofinsufficient accuracy, limited migration capability and the like caused by ignoring conditional distribution and edge distribution importance quantitative calculation. According to the method, a goodeffect can be achieved in the aspect of classification of the fatigue driving electroencephalogram data, and a new research means can be provided for processing of complex electroencephalogram data.

The invention relates to a fine-grained classification method for fashionable women's wear images based on component detection and visual characteristics, belonging to the field of computer vision andimage application. The invention firstly detects the parts of the body part of the input fashion women's wear image to be classified and the image in training. Secondly, the detected images of fashion women 's wear are extracted respectively, and the HOG, LBP, color histogram and edge operator of fashion women' s wear images are trained to get the feature extracted images. Then, the defined visual feature descriptors are matched with the extracted four underlying features, and multi-class SVM is used to supervise the learning and training of the fine-grained classifier model. Finally, throughthe fine-grained classifier after training, the fashion women 's clothing image undergone the features classifying achieves fine-grained classification, fashion women' s clothing image classificationresults are output. The detection and classification method adopted by the invention has high accuracy.

The invention discloses a milk product, particularly relates to flavoured fermented milk, and relates to a preparation method of the flavoured fermented milk simultaneously. The flavoured fermented milk disclosed by the invention comprises the following components in percentage by mass: 0.8-1.2% of concentrated whey protein powder, 4-7% of white granulated sugar, 0.5-2% of crystal sugar, 0.1-1% of freeze-dried strain, 0.1-0.8% of concentrated pear juice, and the balance of standardized non-reactive milk. The preparation steps comprise material preparing, homogenizing, sterilizing, inoculating and fermenting, and canning. The flavoured fermented milk obtained by the preparation method disclosed by the invention uses fermented milk as a matrix, and crystal sugar-pear juice is added so that the taste of the flavoured fermented milk is natural, fresh and sweet, so that the flavour of the fermented milk is improved; and simultaneously, compared with the existing crystal sugar-pear beverages, the need of intaking the nutrients of milk products of people is met, and the quantity of suitable groups is correspondingly increased.

The invention discloses a pesticide wastewater treatment process and a treatment device thereof. A process system comprises a Fenton oxidation tank, a regulating tank, a hydrolysis acidification tank,a pre-anoxic tank, a CASS tank, an efficient sedimentation tank, an ozone catalytic oxidation treatment unit, a biological aerated filter and a disinfection tank. The invention aims at the characteristics of high organic matter concentration, complex components, high chromaticity, strong toxicity, extremely poor biodegradability and the like of pesticide wastewater. A combined process combining anovel advanced oxidation technology, a traditional physical and chemical process and a biological technology is adopted, the removal effect on refractory organics is good, the deodorization and decoloration capacity is high, and effluent can meet the first-grade A emission standard of Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant GB18918-2002 and is discharged into a receiving water body.

The invention discloses an automatic measuring method and device of intrapartum cephalopelvic relationship based on ultrasonoscopy. The automatic measuring method comprises the steps that a puerpera transperineal ultrasonoscopy data set for training is obtained, and taken as a training set; data in the training set are input into a constructed neural network model, an end-to-end split model is trained, and interested areas of the symphysis pubis and the fetus head are split; training is conducted repeatedly, a trained neural network model is obtained; and in practice application, the ultrasonoscopy collected in real time is input into the trained neural network model, the interested areas of the symphysis pubis and the fetus head are obtained, enhancing and edging fitting are conducted onthe interested areas, and the fetus head angle of descending AOD of and the symphysis pubis-fetus head distance SFD are calculated. Compared with an existing intrapartum fetus parameter measuring method, according to the automatic measuring method and device, intrapartum fetus parameters can be accurately and objectively measured in real time, any priori knowledge and human intervention are not needed, the requirement of real-time application can be met, and clinical application prospects are achieved.

The invention relates to a railway vehicle suspension system parameter estimation method based on an improved particle filtering algorithm. The method comprises the following steps: (1), a kinetic model of a railway vehicle is built in many-body dynamics software; (2), motion information acquisition equipment is arranged in corresponding positions of a vehicle body and a bogie of the kinetic model, and simulated motion information of the vehicle is acquired; (3), the simulated observed value of the motion information of the vehicle is acquired; (4), vertical and horizontal kinetic models of a railway vehicle system are built, and vertical and horizontal dynamic space models of the railway vehicle system are further built; and (5), according to the simulated observed value obtained, through the combination with the improved particle filtering algorithm, the system parameter and the system unknown parameter matrix are estimated at the same time. Compared with the prior art, a uniform resampling strategy is introduced, so that the tradition method needing to rely on the statistical result of the mass state monitoring data is broken through, and the problem that the change of the parameters of the suspension system cannot be monitored in a real-time manner due to unscented particle filter is solved.

The invention discloses a pathological image multi-staining separation method based on deep learning, and the method comprises the following steps: (1) carrying out the optical density transformationof a pathological staining image, and obtaining an optical density matrix of an original pathological staining image; (2) constructing a ResU-Net model by using the optical density matrix obtained inthe step (1); (3) training the ResU-Net model obtained in the step (2); and (4) carrying out image dyeing separation through the ResU-Net model trained in the step (3). According to the method, pixel-level analysis can be carried out on the original image, and the same kind of tissue in the image is better separated, so that the dyeing separation performance is improved.

The invention discloses a chitosan inorganic and organic composite passivation film good in film forming. The chitosan inorganic and organic composite passivation film good in film forming is prepared by following raw materials including dodecafluoroheptyl methacrylate, hexafluorobutyl methacrylate, a silane coupling agent KH560, azodiisobutyronitrile, a silane coupling agent KH570, a proper number of silane coupling agents KH858, hexadecyl trimethyl ammonium bromide, sodium hydroxide, tetraethoxysilane, trifluoropropylmethyldichlorosilane, chitosan, butanedioic anhydride, gallotannic acid, sodium citrate, tartaric acid, epoxy resin, a curing agent, a proper amount of acetic acid, a proper amount of absolute ethyl alcohol, a proper amount of methyl alcohol, a proper amount of tetrahydrofuran, a proper amount of diluted hydrochloric acid, a proper amount of dilute nitric acid and a proper amount of deionized water. Prepared passivation liquid is low in preparing cost, free of toxicity and harm, green, environment-friendly and capable of forming the compact passivation film on the surfaces of a zinc plated wide plate, an aluminum profile and the like, corrosion of a base material can be retarded, the service life is prolonged, and various later machining properties of the base material are not influenced.

The invention relates to a synthetic method for preparing an environment-friendly papermaking sizing agent from gelatin extracted from waste leather scraps. According to the method, the gelatin is modified by adopting monomers capable of forming hydrogen bonds with the gelatin and polymers(such as acrylic acid, methacrylic acid, acrylamide, methacrylamide, N-hydroxymethyl acrylamide and the like)of the monomers; and blending and toughening with polymerization emulsion of an elastomer(such as ethyl acrylate, butyl acrylate, n-octyl acrylate, isooctyl acrylate, isooctyl methacrylate and dodecylmethacrylate)to obtain the papermaking sizing agent which is low in cost, simple in process and capable of greatly improving the water resistance and physical and mechanical properties of paper.

The invention discloses a wet process metal ion detection method for solar cell. The method comprises oxidation of to-be-detected solution; acid-base titration; preliminary judgment of metal ions; and KSCN metal ion detection, so as to eliminate the influence of a strong acid environment on the detection result while the oxidation of to-be-detected solution ensures that low-valence metal ions can be detected out by the KSCN reagent after oxidation of the low-valence metal ions to guarantee accuracy of the detection result. The invention integrates advantages and disadvantages of a potassium thiocyanide metal ion detection method, adopts two pretreatment steps of to-be-detected solution oxidation and acid-base titration to eliminate inaccuracy of detection result caused by acid environment and low-valence metal ions, guarantees reliability of the test result, makes full use of sensitivity of KSCN in metal ion detection under conventional conditions, and carries out metal ion detection in a wet process of solar cell production by preparing KSCN solution.

The invention discloses a thickness measuring device for lithium battery processing. The thickness measuring device comprises a rack, wherein a supporting frame is arranged at one end of the top of the rack, first servo motors are arranged on the two sides of the top of the supporting frame, and first threaded rods are vertically arranged at the output ends of the first servo motors. The first servo motors work to drive the first threaded rods to rotate, first sliding blocks rotate along with the first threaded rods to drive a lifting base to ascend and descend until attaching plates make contact with the top side of a lithium battery, at the moment, the first sliding blocks continue to descend along with the first threaded rods, sliding frames and the attaching plates move upwards along first sliding rails, measuring blocks act on the measuring ends of displacement sensors to drive the measuring ends to move upwards until the bottom end of the lifting base and the top side foundationof amounting plate, at the moment, the upward moving distance of the attaching plates is the thickness of the lithium battery, and the thickness of different parts of the lithium battery is measured by carrying out attaching movement measurement on the plurality of attaching plates and different parts of the lithium battery.

The invention provides a device and a method for measuring hydrogen permeability of a hydrogen storage bottle. A high-purity nitrogen source is connected with a gas mass flow meter through a gas supply pipeline, and a gas supply valve is arranged on the gas supply pipeline; the downstream of the gas mass flow meter is connected with a gas supply one-way valve which is connected with a sealed metalcavity through a gas inlet pipeline; a hydrogen storage bottle can be placed in the sealed metal cavity, the sealed metal cavity is communicated with a vacuum pump through an exhaust pipeline, and anexhaust valve is arranged on the exhaust pipeline; and the sealed metal cavity is also connected with a mass spectrometer. When the device is in use, the hydrogen storage bottle is placed in the sealed metal cavity, the gas supply valve is closed, the vacuum pump is opened, the sealed metal cavity and a pipeline connected with the sealed metal cavity are vacuumized, and then the air exhaust valveis closed; the gas supply valve is opened to enable nitrogen to enter the sealed metal cavity; the proportion of nitrogen and hydrogen in the sealed metal cavity is measured through a mass spectrometer, the total amount of nitrogen is obtained through the gas mass flow meter, and the total amount of hydrogen seeping out of the hydrogen storage cylinder within the permeation time can be calculated.

The invention discloses a power distribution network CPS evaluation method for power traffic information system interaction influence. The method comprises the following steps: step (1), dividing reliability parameters of a current input physical element and an information element to determine a current distribution network physical system state and a current distribution network information system state, (2) calculating a user travel according to the determined traffic system state and traffic information system state, (3) determining an electric vehicle charging plan according to the state of the power grid information system at the network access moment, (4) determining an isolation area and the power failure duration of each load point based on the FLISR event tree model, (5) updatingan information system adjacency matrix according to the state of the information element under the current system clock, and (6), counting reliability indexes of all the load points, judging whether simulation time is up or not, meeting the reliability indexes of the output system are met, otherwise, executing the step 2 again. The interaction effect between the power traffic information systems is fully considered, and the reliability of the power system is accurately evaluated.

A color light-emitting diode (LED) lamp consists of a micro control unit (MCU) (1), an LED lamp controller (2), an LED lamp (3) and an LED lamp drive circuit (4). The LED lamp controller (2) sends a control signal to the MCU (1), and based on the control signal of the LED lamp controller (2), the MCU (1) controls the LED lamp drive circuit (4) to drive the turn-on or turn-off of the LED lamp (3). The color LED lamp is simple in structure, scientific and convenient, and can be applied to home lighting and the like.

The invention discloses two-section preparation process of propylene. Methanol and refinery carbon teterolefin are used as raw materials, water is used as a diluent, and a two-section fixed bed reactor is adopted for preparation. Catalyst in the first section of the fixed bed reactor contains 50%-85% ZSM-5 molecular sieve, and catalyst in the second section of the fixed bed reactor is magnesium element modified ZSM-5 molecular sieve catalyst. By means of the two-section preparation process of the propylene, water amount in the diluent is reduced, operation temperature is reduced, propylene selectivity and P / E ratio are effectively improved, conversion rate of the raw material methanol can reach as high as 100%, conversion rate of the refinery carbon teterolefin can reach above 85%, and one-way selectivity of propylene can reach as high as 50%.

The invention discloses a non-intrusive intelligent sound box safety evidence obtaining system and method. The system comprises a network flow analysis module, a user intention acquisition module andan evidence obtaining analysis module. According to the method, the one-to-one mapping relation between the network flow mode and the intelligent loudspeaker box behavior is verified, and an effectivemethod combining network flow analysis, user intention extraction and abnormal network flow alarm is used for supporting intelligent loudspeaker box safety monitoring. According to the method, the security risk can be well monitored, the privacy of the user is protected, the security of the intelligent sound box is enhanced, and related risks or abnormal conditions can be sent to the user throughthe APP.

The invention discloses quantitative detection and comprehensive evaluation method for imaging characteristics of a novel material of an X-ray scintillator. Specifically, aiming at a novel perovskite-based nanocrystal material, a set of practical, objective, comprehensive and accurate detection light paths and a data acquisition and processing and quantitative calculation method are designed by utilizing a high-brightness and energy-continuously-adjustable synchrotron radiation X-ray imaging device, and therefore the purpose that the novel material is used for comprehensively and objectively evaluating an X-ray imaging scintillator is effectively realized. The detection technology comprises the following steps: designing and constructing a detection light path; preparing and installing a new material scintillator; acquiring and processing high-resolution data; adopting a new material luminous efficiency calculation method; comprehensively evaluating the imaging resolution and sensitivity by adopting an image MTF function and a contrast-to-noise ratio, and the like. The novel detection technology is great in universality and can be used for comprehensive quantitative detection and evaluation of characteristics of X-ray luminescent functional materials with different energies.

The invention discloses a mine dynamic disaster real-time monitoring and early warning method based on three-field comprehensive parameters. A monitoring area is divided into a plurality of monitoring units with regular sizes; selecting and installing an intelligent seismic source and a seismic sensor in a monitoring area; determining a monitored sampling interval; micro-seismic generated by nonstandard rock stratum changes is used as an auxiliary seismic source, and a three-dimensional seismic full-wave imaging technology is combined to invert a speed model of a monitoring area; mechanical parameters, resistivity and temperature values are determined; calculating a three-field comprehensive index of time and moment in each monitoring unit; calculating a long-term average value; calculating a short-term average value; comparing the short-term average value with the long-term average value to determine the type of the dynamic disaster; determining a final alarm level according to the distance between the three comprehensive parameter early warning units and the mining project; and displaying a final alarm level and a potential disaster type, and giving an optimal processing scheme and basis. According to the method, the mine dynamic disaster can be early warned more accurately, and sufficient processing time and an effective solution can be provided for disaster processing.

The invention provides a partial discharge detection system for an alternating current withstand voltage test of a high-voltage switchgear,and belongs to the field of power testing,so as to solve theproblems that the method of the alternating current withstand voltage test of the high-voltage switchgear has great subjectivity and limitation,and the test method is not reliable. The system comprises: each acquisition sensor group is connected with a signal preprocessing module,the signal preprocessing module is sequentially connected with an ADC processing module and a first wireless transceiver module,the first wireless transceiver module is wirelessly connected with the second wireless transceiver module,the second wireless transceiver module is connected with the processing module,the processing module is connected with a display module,the processing module is also connected with a storage module,the processing module is also connected with a diagnosis module,the diagnosis module isconnected with the display module,the processing module is also connected with an alarm module,the processing module is also connected with the second wireless transceiver module,the second wirelesstransceiver module is wirelessly connected with a third wireless transceiver module,and the third wireless transceiver module is connected with a voltage regulator control module and a voltage fluctuation module sequentially.

The invention discloses a transfer alignment method based on adaptive compensation H infinite filtering. The transfer alignment method comprises the steps: 10) establishing a transfer alignment model;and 20) performing adaptive compensation H infinite filtering on the transfer alignment model established in step 10) to estimate a misalignment angle to complete the transfer alignment. The transferalignment method ensures the stability of a filter in the transfer alignment process and improves the transfer alignment accuracy.

The invention provides a motor fault diagnosis and degradation trend prediction method and system, and the system comprises a data collection unit which is mainly used for collecting the voltage and current data of a motor, and marking the data at the same time; the server unit can be connected with a plurality of acquisition units and is mainly used for performing preprocessing, spectrum analysis, fault diagnosis, degradation trend prediction and the like on data; the database unit is used for storing typical fault samples of historical data. The system adopts a machine learning and manual intervention method to carry out monitoring and fault diagnosis on the motor. The method is not influenced by voltage grades and operation conditions, and can intelligently analyze the current state of the motor and predict the fault development trend. By adopting the motor fault diagnosis and deterioration trend prediction method and system, the severity of the motor fault can be judged, and the fault development trend can be predicted. A shutdown overhaul and maintenance plan is arranged in advance, production efficiency is improved, equipment operation and maintenance cost is reduced, and enterprise economic and safety benefits are increased.