32results about How to "Fast results" patented technology

The invention discloses pre-hospital emergency medical aid emergency help integrated equipment and system. The method comprises the following steps: S1, acquiring key vital sign data of a patient by using medical equipment; s2, calling basic information and medical history of the patient through equipment; s3, transmitting the collected data to a server of a remote data processing center in real time; s4, performing comprehensive analysis on the received vital sign data and the medical history information of the patient by applying a pre-trained deep learning model on the server, and generating a prediction report; s5, displaying a prediction result on a portable device or a remote monitoring station in real time by using a data visualization technology; s6, based on a visual prediction result and medical history analysis, guiding first-aid personnel to take targeted emergency medical measures; and S7, continuously monitoring the vital sign response of the patient and any health change related to the medical history, and updating the treatment strategy according to the further analysis of the deep learning model.

The invention provides a mud-phase shale component quantitative analysis and calculation method, which relates to the technical field of geological mineral exploration and mainly comprises the steps of sample collection and pretreatment, X-ray diffraction pattern acquisition, pattern analysis and mineral component determination, quantitative calculation based on an innovative model, result correction and evaluation and the like. Through an innovative quantitative analysis model and a strict sample processing flow, the content of various mineral components in the mud-phase shale can be more accurately determined, analysis errors are reduced, more reliable data support is provided for geological research and resource exploration, and compared with a traditional method, the method has the advantages that operation steps are simplified, analysis efficiency is improved, and the method is suitable for popularization and application. According to the method, the quantitative analysis of the mud-phase shale components can be completed in a shorter time, the progress of research and exploration is accelerated, the dependence on complex and expensive chemical analysis equipment is reduced, the experiment cost and the human input are reduced, and meanwhile the utilization efficiency of resources is improved.

The invention provides an electronic one-tube automatic detection system and a detection method for streptococcus agalactiae or gonococci, through an LAMP and CRISPR-Cas12a combined mediated one-tube visual streptococcus agalactiae or gonococci detection system, in combination with an electronic automation technology, an LAMP reaction mixture and a CRISPR-Cas12a reaction mixture are mixed to form a one-tube reaction system, and the one-tube reaction system is used for detecting the streptococcus agalactiae or gonococci. Automatic mixing, preheating reaction and fluorescence detection of various detection reagents and samples are realized, and visual display is performed on detection results by adopting visual equipment. Visual detection of bacteria is achieved by detecting fluorescence signals, rapid positive or quantity detection results can be provided for patients and other users, and clinical detection efficiency is improved.

The invention relates to computer task processing, in particular to an efficient tagging check task processing system and method, a task decomposition and distribution module is used for decomposing a complex service request into a plurality of sub-tasks and intelligently distributing the sub-tasks; the concurrent execution engine is used for selecting a proper concurrent strategy according to task types and requirements, and performing multi-task concurrent execution based on the concurrent strategy through a concurrent execution model; the asynchronous task management module supports creation, scheduling, execution and result callback of asynchronous tasks, and simplifies asynchronous logic processing by introducing an asynchronous programming mode; the task scheduler is used for realizing asynchronous transmission and queue management of tasks by using the message queue and dynamically scheduling the tasks in the queue; according to the technical scheme provided by the invention, the defects of unreasonable resource allocation, poor task scheduling flexibility and low task execution efficiency in the prior art can be effectively overcome.

The utility model provides an air tightness detection device for a copper bar injection molding part, and the device comprises a fixed plate, the fixed plate is provided with a sealing part, the sealing part is provided with two sealing cavities matched with a sealing detection part of the copper bar injection molding part, the interiors of the two sealing cavities are communicated, and one side of the sealing part is provided with an air source device communicated with the sealing cavities; the method has the advantages of being high in detection efficiency, more sensitive to tiny leakage, wider in application range, capable of achieving quantitative detection, low in use cost, operation cost and maintenance cost, easy to operate, low in environment requirement and the like.

The present invention discloses a nondestructive testing method based on the light transmittance characteristics of thermoplastic laminates. The current nondestructive testing methods for composite materials have low testing efficiency and high testing costs. The present invention uses a camera to shoot a laminate under the irradiation of a light source, uses an adaptive threshold binarization algorithm to separate the damaged area and the undamaged area of ​​the entire laminate, and uses image fusion combined with a genetic algorithm to process the edge of the damaged area to obtain an accurate overall damaged area of ​​the laminate; uses the OpenCV database to process each imaging photograph obtained under different light source brightness, separates the complete image of the damaged area of ​​each layer of the laminate, and then uses a hyperbolic tangent function to fit the edge portion of each group of complete images of the damaged area of ​​the same layer to obtain a high-definition image of the damaged area of ​​each layer of the laminate, and finally superimposes the high-definition images of the damaged area of ​​each layer of the laminate to obtain a 3D damage model of the laminate.

This invention provides a data processing method and system based on an AI chip, relating to the field of electronic digital data processing technology. The method includes: acquiring the current data unit in a target data stream; calculating its data similarity C with previous data units; and calculating the entropy decay index D between adjacent computational layers in the layer-by-layer processing of a neural network. {N} The entropy decay index D {N} Used to quantify the degree of decrease in information uncertainty; the data similarity C and entropy decay index D {N} Perform a joint judgment; when C is higher than the similarity threshold and D... {N} When the data falls below the decay threshold, processing of subsequent computational layers is interrupted, and the feature data of the current layer is discarded as redundant data. This invention achieves dynamic pruning of the computational path by constructing a dual verification criterion of input similarity and entropy change in the model's internal processing. This reduces redundant computation and improves the processing efficiency and energy efficiency of AI chips without sacrificing risk identification accuracy.

The invention relates to the technical field of medical detection, and discloses a canine coronavirus antigen fluorescence lateral chromatography detection method which comprises the following steps: A, coupling a canine coronavirus paired antibody with carboxyl fluorescent microspheres to form fluorescently-labeled antibody microspheres; b, spraying the fluorescently-labeled antibody microspheres on a conjugate pad, and drying the conjugate pad; c, respectively coating the nitrocellulose membrane with a canine coronavirus antibody and goat anti-canine IgG to form a test line and a control line; and D, assembling the sample pad, the microsphere combination pad, the nitrocellulose membrane and the water absorption pad in sequence, and cutting into a test strip with the width of 4mm for detection. According to the detection method, the influence of interfering substances in the sample can be reduced, good specificity and stability are achieved, meanwhile, the detection design enables the detection method to have a simple and convenient operation process, and complex experimental equipment is not needed. The test strip is relatively simple and convenient to assemble and use, so that veterinarians or related workers can quickly carry out on-site detection.

The invention provides a nichrome etching agent and a nichrome grain corrosion display method, the nichrome etching agent comprises a mixed solution of hydrofluoric acid, nitric acid and water, and the volume ratio of hydrofluoric acid to nitric acid to water is 1: (9-11): (18-22). When the nickel-chromium alloy etchant is used for chemical corrosion, crystal grains are clearly displayed, the metallographic display range is wide, product analysis is more accurate, the process is stable and simple, the nickel-chromium alloy etchant can be repeatedly used, the detection time is short, a result can be quickly obtained, and unqualified products are effectively prevented from being produced.

The invention discloses a method for detecting PRRSV-1 based on a CRISPR-Cas13d system, and belongs to the technical field of molecular biology diagnosis. The method can effectively detect a clinical positive PRRSV-1 sample, can realize on-site visual detection of PRRSV-1 by combining RNA fluorescent reporter molecules, and can judge a detection result by only using a blue light transmission instrument to irradiate and observing whether a fluorescent signal is generated in a reaction system or not in the detection process. In addition, the method also supports quantitative detection by using a qPCR (quantitative polymerase chain reaction) instrument, and the result can be quickly judged within one hour. According to the method, the diagnosis cost is reduced, the diagnosis time is shortened, the PRRSV-1 detection capacity in the live pig breeding industry is improved through visual detection of the result, and the biological safety risk of a breeding farm is reduced.

The present invention discloses a method and monitoring system for quantitatively measuring the volume of body fluid secretion by ion concentration, which relates to the field of body fluid detection technology, including: covering a hydrogel on a skin area to be detected, wherein the hydrogel can store secreted body fluid; the detection circuit samples through a sensing electrode and measures the open circuit voltage in the hydrogel; based on the Nernst equation, the ion concentration in the body fluid secretion process is calculated according to the open circuit voltage; within a preset time period, the ion concentration is measured; a simplified model of body fluid secretion is established, and a quantitative relationship between the body fluid secretion volume and the ion flux and ion concentration is established; and the body fluid secretion volume is calculated. The present invention can realize non-invasive quantitative monitoring of body fluid secretion volume and promote the application of bioelectronic sensors based on body fluid detection in the field of physiological detection sensing.

The invention discloses a triple LAMP-LFD (loop-mediated isothermal amplification-lateral flow dipstick) detection kit for simultaneously detecting three bovine diarrhea syndrome viruses and a detection method thereof, and relates to the field of agricultural gene detection.The detection kit comprises a binding pad coated with a colloidal gold solution labeled by an antibiotin monoclonal antibody, a sample pad, an NC (nitrocellulose) membrane, an absorption pad and a quality control line C covered with a goat anti-mouse polyclonal antibody, the kit comprises a detection line T1 covered with an anti-digoxin antibody, a detection line T2 covered with an anti-ROX antibody, a detection line T3 covered with an anti-FAM monoclonal antibody, an LFB detection line, a primer designed aiming at M31182.1, a primer designed aiming at JN191349.1 and a primer designed aiming at JN790188.1; the detection method provided by the invention has the advantages of quick result, high cost benefit and higher accuracy.

The invention relates to a complex meteorological condition-oriented building natural ventilation evolution iterative design method and device and electronic equipment, and the method comprises the steps: building a three-dimensional model of a corresponding building, and obtaining the indoor volume of a closed geometry in the three-dimensional model; the initial opening sash model and the building main body model are operated, and a middle opening sash setting rule meeting the ventilation requirement is obtained; establishing a simulation working condition according to the hourly meteorological parameters and carrying out hourly analog simulation to obtain the ventilation quantity of a preset analysis time period in the sub-region; according to the indoor volume of the corresponding sub-region, the number of ventilation times in the preset analysis time period and the average number of ventilation times of the building main body model are obtained; according to the method, an opening fan setting scheme with the highest ventilation frequency under a set condition is searched in combination with algorithm evolution iteration, more effective partition processing is carried out on a complex building space by applying a multi-region grid method, and through multi-working-condition analog simulation and weighted averaging of hourly meteorological data, the multi-working-condition meteorological data is obtained. And carrying out quantitative evaluation on the natural ventilation effect of the design building in a given analysis time period.

The invention discloses a semitrailer tail detection method and system based on a CMS system, and the method comprises the steps: continuously collecting a current tail image through the CMS system, and setting an ROI region in the tail image; performing vertical edge detection on the ROI region, and extracting candidate vertical edge lines of the vehicle tail; carrying out edge detection on the vehicle tail image, carrying out straight line detection on an edge image, and extracting a vehicle body bottom edge line; calculating coordinates of a current vehicle tail point according to the candidate vehicle tail vertical edge line and the vehicle body bottom edge line; and the visual field of the CMS system is adjusted in real time according to the current vehicle tail point coordinates, so that the vehicle tail is always in a preset optimal display range. According to the method, on the basis of an existing CMS system of the semitrailer, the candidate vertical edge line of the tail of the semitrailer and the edge line of the bottom of the semitrailer body are extracted from the tail image, and the coordinates of the current tail point are calculated, so that the visual field of a camera of the CMS system is adjusted in an auxiliary mode in real time, and the tail of the semitrailer is always in the optimal visual field.

The invention discloses a high-frequency line energy consumption data acquisition method for a computing power server. The acquisition method comprises the following steps: S1, determining a measurement target; S2, selecting a sensor; S3, setting data acquisition equipment; before data acquisition is carried out on the high-frequency line, the data acquisition equipment is detected, the problem that normal data acquisition is affected due to the fact that the acquisition equipment cannot be used is avoided, then calibration work is carried out on the data acquisition equipment, sensor data are remotely monitored through the edge server and uploaded to the cloud when needed, and the data acquisition efficiency is improved. According to the method, data transmission safety and privacy protection are ensured, unauthorized data access is prevented, then a data analysis result is presented to a user in a chart mode through a report producer, and the user generates a customized energy consumption analysis report according to requirements, so that the collected data can be quickly analyzed and the result is generated, and the user experience is improved. And the working efficiency of collection work is improved.

This invention belongs to the field of aircraft design and strength analysis technology, specifically relating to a rapid design and optimization method for openings in aircraft structures. The method involves: establishing a full-aircraft model for overall strength analysis; determining the location and size of the required openings on the finite element model; selecting a specific finite element region for analysis; analyzing the severe operating conditions of the finite element elements in this region; outputting the displacement and stress at the boundaries of the selected elements under severe operating conditions; importing the model and boundary conditions into software with a self-developed opening design and analysis module; performing optimized opening design and strength analysis; forming a reasonable opening reinforcement scheme; and outputting the calculation results. The method proposed in this invention can reduce weight, decrease local stress concentration, and delay or prevent the occurrence of cracks at the hole edge.

A method and system for image similarity recognition based on multi-feature fusion, relating to the field of image processing technology, is disclosed. The method includes: calculating the hash features of an input image and generating hash similarity and hash confidence values; when the hash confidence value is less than a hash confidence reference value, performing local feature extraction on the input image to generate local similarity and local confidence values; when the local confidence value is less than the local confidence reference value, performing deep learning feature extraction on the input image to obtain deep features and deep confidence values; determining the weight coefficients of the hash features, local features, and deep features based on the hash confidence value, local confidence value, and deep confidence value, respectively; performing feature fusion to generate a fused feature vector; and calculating the final similarity between the input image and the image to be compared based on the fused feature vector. Implementing this application can improve processing efficiency while ensuring the accuracy of image similarity recognition.

The present invention relates to the technical field of urine detection, specifically to a urine detection device and a detection method thereof, comprising: a device body, the device body comprising an A cup body and a B cup body, the interior of the A cup body and the B cup body being divided into a first, a second and a third zone from top to bottom. The present invention improves the shortcomings of the existing urine detection device by combining a urine collection vessel, a urine detection device and an A / B bottle type height, so that the function of the urine rapid detection device is maximized. Compared with the actual operation of the prior art, on the one hand, there is no need to worry about the urine container being exposed to the air for a long time and being contaminated, and on the other hand, it does not need to be transferred multiple times, and it is more convenient to use; again, the turbid urine sample specimen will automatically pass through the second one-way valve for filtration, and there is no need to place the urine specimen for a period of time and then take out its supernatant for use, and there is no need to worry about affecting the detection. Finally, there is no need to pay attention to the urine sample liquid level must be between the minimum scale and the maximum scale when using it.

This invention provides a finite element method for solving generalized axisymmetric plane problems using stress as the fundamental variable, relating to the field of engineering analysis. The method includes: S1. Selecting basis functions that satisfy the equilibrium equations; S2. Applying the complementary energy principle to establish the element equations for each element; S3. Assembling all element equations to form the overall stiffness equation; S4. Applying forced boundary conditions to the stiffness equation; S5. Solving the stiffness equation; S6. Obtaining all stress components at any point within the element through basis function interpolation; S7. Repeating S1 to S6 to obtain the element stress distribution under each basic load condition; S8. Obtaining the stress state under any composite load based on the principle of linear superposition; S9. Evaluating the strength of the stressed body according to material failure criteria. This invention does not require users to possess professional modeling skills; through simple parameter input, the stress solution of complex axisymmetric problems can be obtained quickly and accurately, and strength evaluation and performance characterization can be performed accordingly.

The invention provides a finite element method for solving a generalized axisymmetric plane problem by taking stress as a basic variable, and relates to the field of engineering analysis, and the finite element method comprises the following steps: S1, selecting a primary function meeting an equilibrium equation; s2, establishing a unit equation of each unit by applying a complementary energy principle; s3, assembling all unit equations to form an overall rigidity equation; s4, applying a forced boundary condition to the stiffness equation; s5, solving a stiffness equation; s6, obtaining all stress components of any point in the unit through primary function interpolation; s7, repeating the steps S1 to S6, and solving to obtain unit stress distribution under each basic load working condition; s8, based on a linear superposition principle, obtaining a stress state under any composite load; and S9, performing strength evaluation on the stress body according to a material failure criterion. According to the method, a user does not need to have professional modeling skills, the stress solution of the complex axial symmetry problem can be quickly and accurately obtained through simple parameter input, and strength evaluation and performance characterization are carried out according to the stress solution.

The present invention discloses a power distribution control method and a power distribution control system, which relates to the field of power distribution control technology, and solves the problem that the unclear cause of voltage fluctuation leads to inaccurate post-processing, which causes abnormalities in the power distribution process and thus affects the power distribution effect. The present invention monitors the voltage values ​​of substations, transmission lines and power consumption areas, and performs fluctuation analysis based on the specific results of the monitoring. Based on the corresponding fluctuation analysis results and the situations before and after the fluctuation time point, it is identified whether the substation is abnormal or the transmission line is abnormal. Subsequently, different analysis and response processes are performed for different abnormal situations. In the process of analyzing the transmission line, it is necessary to fully consider whether it is interfered by external electromagnetic signals, and generate and display corresponding processing signals, so that external personnel can understand the abnormal situation in time and take corresponding power distribution control measures in time.

The invention discloses an automatic coding machine capable of identifying goods based on the Internet of Things, and relates to the technical field of goods coding machines.The automatic coding machine capable of identifying goods based on the Internet of Things comprises a fixing frame and a motor, one side of the fixing frame is in transmission connection with a conveying belt, and the surface of the side, close to the conveying belt, of the fixing frame is fixedly connected with a first sliding rail; an electric sliding block is slidably connected into the first sliding rail, a second sliding rail is fixedly connected to the surface of the side, away from the first sliding rail, of the electric sliding block, and a printing head is slidably connected into the second sliding rail. The requirement for manually repositioning the goods is reduced, fuzzy, wrong or incomplete code printing caused by interference of dust and impurities on the surfaces of the goods can be avoided, reworking and error correction caused by the code printing quality problem are reduced, code printing materials are better attached, and the possibility of code printing falling is reduced.

The invention provides an alpha energy spectrum quantitative method, device and equipment based on a multi-population particle swarm, and a medium, and the method comprises the steps: enumerating the thickness of a sample, and calculating a response function matrix corresponding to the samples with different thicknesses; enabling each thickness sample to correspond to one population, and establishing a relation equation among detector counting, nuclide activity and a response function matrix of each population; parallel energy spectrum analysis calculation is carried out on all the populations, particles in each population are iteratively searched through a speed updating formula and a position updating formula to obtain corresponding nuclide activity and energy spectrum fitting degree optimal solutions, in the parallel calculation process, the populations which cannot be converged are eliminated, the optimal population is screened out from the remaining populations, and the optimal solution of the nuclide activity and the energy spectrum fitting degree is obtained. The thickness corresponding to the optimal population is the optimal solution of the sample thickness, and the global optimal position corresponding to the optimal population is the optimal solution of the nuclide activity, so that the problems of complex sample pretreatment, long measurement period and incapability of directly analyzing the sample with the unknown thickness in the alpha energy spectrum measurement technology are solved.

The invention relates to the technical field of road detection and artificial intelligence, in particular to an unmanned aerial vehicle highway disease intelligent detection system based on deep learning. The system comprises an unmanned aerial vehicle platform, a data acquisition module, an image analysis and processing module, a deep learning disease detection module, a result output and early warning module and a ground work station, wherein the image analysis and processing module, the deep learning disease detection module and the result output and early warning module are all arranged in the ground work station; the data acquisition module is carried on the unmanned aerial vehicle platform, and the unmanned aerial vehicle platform carries a high-definition camera and is used for flying over an expressway according to a preset route. According to the invention, by integrating the unmanned aerial vehicle inspection platform and the YOLOv8-based deep learning model, a set of full-process automatic detection system integrating efficient data acquisition, precise disease identification and intelligent early warning decision is constructed, and the efficiency, precision and intelligent level of highway disease detection are significantly improved.

The utility model discloses a kind of liquid refractive index measuring devices, belong to measuring device technical field, including bottom plate, the bottom plate top is symmetrically provided with slide rail, the slide rail top is from left to right array and is provided with four sliding bases, the sliding base top is fixedly installed with support, positioning mechanism for positioning sliding base is arranged on the sliding base, four sliding bases are sequentially fixedly connected with laser light source, beam expander, adjustable single slit, double slit plate and light source receiver by support from left to right, two light slots are provided on the double slit plate, colorimetric dish and a wedge glass are fixedly connected on the double slit plate side;The utility model uses screw micrometer to read numerical value, replaces traditional guide rail reading, and self-made controllable optical path device. By adjusting the thickness of the compensation device, the refractive index measurement range is increased, the movement of interference fringes is more intuitive, thereby the flexibility of liquid refractive index measuring device is improved.

The invention discloses a user-oriented video face changing method. The method comprises the following steps: a front and side face input module: a user inputs a front face source face image and inputs a face video of a face changing target user; the video analysis module is used for receiving a target video input by a user and outputting target front face and side face objects in all video frames; the front and side face separation module is used for separating a front face object and a side face object which are transmitted from the front and outputting the separated target front face object and side face object; the front and side face changing module is used for receiving a target face and a source face and outputting a face object after face changing; in conclusion, by analyzing the target video, the face position of a target person specified by a user is determined by using a target tracking algorithm, and meanwhile, different face changing models are utilized to cope with possible front and side face conditions of the target video; the problem that in a current user-oriented video face changing scheme, when the face rotation amplitude is too large, a user needs to carry out additional operation on a specific frame is solved.

The invention discloses a method for determining quinoline insoluble in a high-softening-point material, which comprises the following steps: S1, grinding the high-softening-point material into powder, taking 0.5-3 g of the powder as a sample, placing the sample in a beaker, pouring 10-15 ml of quinoline, placing the beaker on an electric furnace, and heating the beaker to a sample dissolving temperature; s2, after heating to the sample dissolving temperature, continuously heating to increase the temperature by 30-80 DEG C, stirring for 2-5 minutes, immediately transferring a feed liquid into a preheated sand star funnel, and carrying out suction filtration to obtain a filter cake; and S3, washing off quinoline remaining on the filter cake with cold toluene, then drying the sand star funnel and the filter cake, then transferring the sand star funnel and the filter cake into a dryer for cooling treatment, and then carrying out weighing calculation. According to the invention, the phenomenon of inaccurate analysis result caused by blockage of filter holes due to temperature drop in the suction filtration process can be avoided; the method has the advantages of being short in time consumption, fast in result obtaining, high in data accuracy and precision, good in reproducibility and the like.

The invention relates to a gas chromatography content determination method of tetra (dimethylamino) titanium, which adopts a gas chromatography method for detection, the method has simple steps and is convenient to operate, the content of tetra (dimethylamino) titanium in a sample to be detected can be rapidly and accurately determined by adopting the gas chromatography method, and the content of tetra (dimethylamino) titanium in the sample to be detected can be accurately determined by selecting a specific chromatographic column type according to the specific method. According to the present invention, the rapid and efficient detection of the tetrakis (dimethylamino) titanium is achieved through the detection of the tetrakis (dimethylamino) titanium and the limitation of the chromatographic instrument condition parameters, and compared with the nuclear magnetic hydrogen spectrum method in the prior art, the analysis speed is rapid, the operation is simple, the result is accurate, the detection cost is low, the refrigerant and the high pollution solvent are not required, and the production and the purification work of the tetrakis (dimethylamino) titanium can be rapidly guided.

The invention relates to the technical field of allergen detection. The invention provides a fluorescent percolation kit for detecting an allergen-specific IgE antibody. The kit comprises a detection film, a microporous film, a plastic film, absorbent paper, a cleaning solution and an IgE secondary antibody working solution. According to the invention, latex microsphere-allergen protein is coated on a nitrocellulose membrane, when serum containing an allergen sIgE antibody is added into the detection card, the sIgE antibody is combined with an antigen fixed on the membrane, so that a latex microsphere-antigen-sIgE antibody immune complex is formed and fixed on the membrane, and the detection card is used for detecting the allergen sIgE antibody. And the other substances which are not combined are removed through the washing step. An IgE secondary antibody working solution is added into the detection card to form a latex microsphere-antigen-slgE antibody-anti-human IgE antibody-fluorescence labeling compound, and after uncombined substances are removed through washing, the fluorescence intensity of a detectable point represents the concentration of the sIgE antibody contained in serum.