114results about How to "Accurately obtained" patented technology

The invention discloses an urban safety risk assessment method and system based on a digital standard, and the method comprises the steps: obtaining urban safety risk monitoring data and historical data, constructing a risk index event library according to the historical data, carrying out the abnormal screening and classification of the monitoring data, and obtaining risk indexes, matching the risk indicator with the risk indicator event library to determine a first risk event, predicting an uncertain risk event according to the first risk event, and constructing a city safety risk assessment model according to the first risk event, the uncertain risk event and the risk event weight, and inputting to-be-assessed city safety risk monitoring data and historical data into the city safety risk assessment model to obtain a city safety risk assessment result. The method not only can improve the efficiency and accuracy of urban safety risk assessment, but also has good interpretability, and can be directly applied to an urban safety risk assessment system.

The invention discloses an autonomous acousto-optic fusion target detection method and system for an amphibious unmanned platform, relates to the technical field of underwater target detection, and aims to solve the problem that a method for detecting a complex underwater environment target by combining an acoustic sensor and an optical sensor is lacked in the prior art. Comprising the following steps: S1, synchronously acquiring underwater environment information through an optical camera and a foresight sonar of the amphibious unmanned platform; s2, preprocessing the image data and the acoustic data respectively, and then performing segmentation and target identification on the preprocessed image data and acoustic data; s3, respectively converting target identification results under the optical camera coordinate system and the foresight sonar coordinate system to a joint coordinate system; and S4, establishing a support degree matrix between the target identification results of the optical camera and the foresight sonar, rejecting outliers with low support degree according to the obtained comprehensive support degree matrix of each data, and performing optimal weighted fusion on measured values with high support degree to obtain an acousto-optic combined underwater target positioning result.

The invention belongs to the technical field of high-temperature thin film sensors, provides a high-temperature dynamic strain measurement method based on a thin film strain gauge, and is used for solving the problems that a traditional contact strain gauge is difficult to assemble, the surface structure of a part is damaged, and the accuracy is poor. The method comprises the following steps: firstly, arranging a film strain gauge and a temperature sensor on the surface of a test piece, and synchronously acquiring time-domain resistance signals and temperature information in the vibration process of the test piece; then, converting the time-domain resistance signal into a frequency-domain resistance signal by adopting spectral analysis, taking the resistance amplitude at the zero frequency as the initial resistance of the thin film strain gauge, and taking the resistance amplitude at the resonant frequency of the test piece as the resistance response quantity of the thin film strain gauge; and finally, determining a strain factor of the film strain gauge according to the temperature information, and calculating the dynamic strain of the test piece based on the initial resistance, the resistance response amount and the strain factor of the film strain gauge. On the basis, the strain measurement error is remarkably reduced, and the accuracy of dynamic strain measurement is improved.

The invention relates to a novel discrete element method for simulating infiltration sand particle loss, which comprises the following steps: comparing particle stress with an average stress mean value of all particles in a sample, and when the particle stress # imgabs0 # is smaller than the average stress mean value # imgabs1 # of all the particles, determining that the particles belong to infiltration loss particles; carrying out loss priority ranking on all particles which can be subjected to infiltration loss; and a particle removal algorithm is constructed. The method has the beneficial effects that fine particles which can be subjected to permeation and erosion loss are judged and distinguished through pure discrete element simulation, whether permeation and erosion can be carried out or not is judged by comparing the particle stress size with a mean value, the particle loss is controlled in the fine particles, and errors caused by loss of a soil skeleton are avoided; and the lossable particles are sorted according to priorities to determine the sequence of the removed fine particles in each cycle, so that the loss of the permeable sand particles simulated by the discrete element method is more in line with the real situation.

[Problem] To provide a control calibration apparatus for a variable displacement pump and a method therefor, which can increase the accuracy of flow control of the variable displacement pump. A control calibration device for a variable displacement pump (3) includes a controller (10) that outputs a current value for a flow rate command of the variable displacement pump (3) and a flow sensor (11) that measures a flow rate of the variable displacement pump (3). The controller (10) has a function for obtaining a quadratic function formula from a first current value when the maximum flow rate of the variable pump (3) is measured by the flow sensor (11), a second current value when the minimum flow rate of the variable pump (3) is measured by the flow sensor (11), and a fixed current value corresponding to a fixed flow rate based on the specification of the variable pump (3), the quadratic function formula is a current flow characteristic for flow control of the variable pump (3).

The utility model discloses an integrated guide rail type die special for an upper cover plate and a lower cover plate. Comprising a handle support, an upper pressing plate arranged at the bottom of the handle support and connected with the handle support, a grooving device arranged at the bottom of the upper pressing plate, an elastic pressing plate arranged on one side of the grooving device through an elastic device, and a mold pressing plate arranged on a fixed base corresponding to the grooving device. The multifunctional cover plate mold machining device is formed, the working efficiency is improved, and the use cost is reduced.

Disclosed are a prognosis prediction method using a result of disease diagnosis through a neural network and a system therefor. The prognosis prediction method comprises: a step in which the system receives a biometric image as an input; a step in which the system generates an expression region diagnosis result in which an expression region in the biometric image, in which a disease has been expressed, is determined with respect to the input biometric image; and a step in which the system determines first information corresponding to the size of the entire tissue in the biometric image and second information corresponding to the size of the expression region in the biometric image, on the basis of the diagnosis result, and generates prognosis prediction information based on a result of the determination, wherein the step in which the system generates the expression region diagnosis result in which the expression region in the biometric image, in which the disease has been expressed, is determined with respect to the input biometric image comprises generating the expression region diagnosis result on the basis of a result of determining whether the disease has been expressed for each of certain patches in which the biometric image is divided into certain sizes, or generating the expression region diagnosis result on the basis of a result of segmenting, for each of the patches, a region in a patch, in which the disease has been expressed.

The invention provides an electricity-gas-heat region comprehensive energy system probability energy flow calculation method based on an improved random response surface method, and belongs to the technical field of comprehensive energy system research, and the method comprises the following steps: building steady-state energy flow models of an electric power system, a thermodynamic system and a natural gas system; considering the influence of the correlation between photovoltaic output and wind power output in the same region on a system state variable, and performing standardization processing on an input variable by adopting Nataf transformation; and the electricity-gas-heat RIES probability energy flow is solved by adopting a Garleerkin projection method to optimize a random response surface method. According to the method, the probability energy flow of the regional integrated energy system is calculated, and the method has effectiveness, applicability and solution accuracy and rapidness.

The invention discloses a transformer winding overvoltage distribution calculation method based on an ultra-wide frequency domain model, comprising: 1) obtaining characteristic parameters of a HEMP E1 component; 2) fitting a conductor skin depth and an oil-paper dielectric response model to establish an ultra-wide frequency domain mathematical model of a transformer winding based on frequency-dependent distributed parameters; 3) establishing an ultra-wide frequency transmission line model based on frequency-dependent distributed parameters according to the ultra-wide frequency domain mathematical model of a transformer winding based on frequency-dependent distributed parameters and a multi-conductor transmission line model; 4) performing central difference processing on a transmission line equation according to the ultra-wide frequency transmission line model based on frequency-dependent distributed parameters to obtain iterative equations of voltage, current and boundary conditions, and then establishing a transmission line solution model based on the equations; 5) inputting the HEMP E1 component as a pulse source into the transmission line solution model to obtain transformer winding overvoltage distribution. The method can quickly and accurately obtain the voltage distribution of a power transformer winding under the action of HEMP E1.

The present invention discloses a calibration method for a fixed line laser camera, and relates to the technical field of line laser measurement. The present invention comprises the following steps: S1, setting a high-precision calibration block; S2, taking a picture with a line laser camera to obtain a 3D point cloud contour line, and the contour line forms a plurality of breakpoints on the calibration block; S201, the breakpoints are recorded as: P1, P2, P3, P4, P5, P6, P7, P8; S3, implementation of the calibration method. The present invention adopts a mechanical structure of a high-precision boss to develop a method capable of quickly calibrating a 3D single-line laser camera; the advantages of the calibration method are: being able to quickly and accurately obtain the conversion matrix of the 3D single-line laser camera coordinate system relative to the reference coordinate system; it can be used as the first calibration for the initial installation of the camera, and can also be used as a rapid recovery calibration after the camera is replaced, which greatly improves the efficiency and operation difficulty of on-site debugging, and effectively reduces the loss caused by downtime.

The invention discloses an antenna system, an antenna device and an antenna structure. The antenna structure comprises an annular section, and a bandwidth adjusting section and a frequency adjusting section which are surrounded by the annular section; the annular section is provided with a surrounding part, and a first end part and a second end part which are respectively connected to two ends of the surrounding part and are spaced from each other; the bandwidth adjusting section is connected to the first end part and a local part of the surrounding part adjacent to the first end part, and has a first layout length along a first direction; the frequency adjusting section is connected to the bandwidth adjusting section and has a second layout length greater than the first layout length along the first direction; the antenna structure can be used for constructing a three-dimensional induction space through a communication element so as to obtain a signal of at least one sensor located in the three-dimensional induction space. According to the antenna system, the antenna device and the antenna structure, the signal of at least one sensor located in the three-dimensional sensing space can be accurately obtained, and external interference can be effectively avoided.

The invention discloses an intelligent analysis system and method for data exception of power equipment based on big data. The system comprises an information acquisition module; an Internet of Things module; a preprocessing module; a remote terminal system; a data analysis module; big database information; an alarm module; a mobile terminal module; the invention discloses a big data-based intelligent analysis method for data exception of power equipment. The method comprises the following steps of: acquiring operation data of the power equipment; collected data information is subjected to communication transmission; preprocessing the data information; analyzing and processing data; remote warning maintenance is carried out; according to the invention, the operation state information of the power equipment is acquired through the information acquisition module and is transmitted through the Internet of Things module, and the remote terminal system processes the data information remotely and calculates and analyzes the data information to obtain abnormal data information; the preprocessing module is used for improving the data accuracy; the fuzzy classification judges the data information abnormity through the distance, and the abnormity type is matched and judged through the abnormity type stored in the big database.

The present application belongs to the technical field of marine remote sensing, and particularly relates to a kind of full wind speed inversion methods based on spaceborne microwave active and passive combination physical statistics network, comprising the following steps: obtaining the brightness temperature data and backscattering coefficient of microwave radiometer and scatterometer, and performing data quality control;Construct sample data set;Load physical statistics constraint deep learning inversion algorithm model for training;Physical statistics constraint deep learning inversion algorithm model includes: input layer, network layer, physical layer, output layer;Network layer is composed of residual neural network, and physical layer is composed of Log formula of microwave radiometer and Log formula of microwave scatterometer to form microwave statistical matrix P matrix, which is a nonlinear matrix, and provides physical statistics constraint for the whole model;Output the wind speed of current full sea area.The present application effectively solves the problem of lack of physical support in the process of deep learning in marine parameter inversion, and provides high-quality and reliable wind speed products suitable for full wind speed range.

This invention discloses an online monitoring device and method for the concentration and flow rate of sludge in a channel-type internal return system in a wastewater treatment plant. The device includes a biological treatment tank; the biological treatment tank contains multiple anaerobic tanks, multiple anoxic tanks, and multiple aerobic tanks connected sequentially; a mixed liquor internal return channel is provided between the first anoxic tank and the last aerobic tank; the mixed liquor internal return channel is used to return the mixed liquor from the corresponding aerobic tank to the corresponding anoxic tank; a wedge-shaped ultrasonic sensor is installed in the mixed liquor internal return channel; the wedge-shaped ultrasonic sensor scans the mixed liquor in the mixed liquor internal return channel and converts the scanning result into an electrical signal, which is then uploaded to the wastewater treatment plant's central control room. The wastewater treatment plant's central control room detects and calculates the flow rate and concentration by comparing the interrelationships between multiple images or echo patterns ordered chronologically. This invention not only enables rapid and accurate acquisition of flow rate data but also allows for quick disassembly and maintenance.

The invention provides a license plate recognition method and system based on a big data license plate sample. The method comprises the steps of obtaining a to-be-recognized initial license plate image; performing image enhancement processing on the initial license plate image to obtain an enhanced license plate image; performing color space conversion on the enhanced license plate image to obtain a license plate image after color space conversion; inputting the license plate image after space conversion into a preset license plate region recognition model to obtain a target license plate recognition region; and inputting the target license plate recognition area into a preset license plate number recognition model to obtain a license plate number. The license plate region recognition model is obtained through training of different sample illumination images under different light rays and the calibrated sample target license plate recognition region, so that the robustness of the license plate region recognition model is improved, image enhancement processing and color space conversion are performed on the initial license plate image, and the license plate region recognition model is combined, so that the license plate recognition accuracy is improved. The license plate number can be accurately obtained, and the license plate recognition precision and the license plate recognition accuracy are improved.

The present invention discloses a method and system for improving antibody affinity based on molecular dynamics and machine learning, and belongs to the field of computer software technology. The method of the present invention uses molecular dynamics to accurately locate the binding site of the antibody, thereby screening out the best amino acid mutation site, and constructing a variant library of amino acid saturation mutation at the best amino acid mutation site, and calculating the change (value) of the binding free energy of the mutant complex as the evaluation basis; using the amino acid descriptor as a feature and the value as a label, training the machine learning model, and screening out the model with the best prediction performance; the model is used to predict and screen out mutants with lower values ​​(i.e., high affinity potential). The high-affinity 1-7 single-domain antibody obtained by the method of the present invention has a significantly improved affinity of 2.98-5.04 times, which effectively verifies the practicality and efficiency of the present invention and opens up a new path for the directed evolution of single-domain antibodies.

The application discloses an interlocking system for an acetylene warehouse, which comprises a detection device, an alarm device, an exhaust device and a control device; the detection device is arranged in the acetylene warehouse and is used for detecting the gas concentration in the acetylene warehouse; the alarm device is electrically connected with the detection device and is used for issuing an alarm; the exhaust device is arranged in interlocking with the alarm device and is used for exhausting the gas in the acetylene warehouse when the alarm device issues an alarm; the exhaust device is provided with a plurality of exhaust devices; the control device is arranged outside the acetylene warehouse and is electrically connected with the alarm device and the exhaust device and is used for controlling the opening and closing of the exhaust device. According to the scheme, when the audible and visual alarm issues an alarm, the exhaust device can be quickly opened, so that the probability of accident escalation can be reduced.

This invention discloses a gas migration path monitoring system and method during hydrate extraction. A marine radiometric detector is installed inside a high-pressure vessel; radioactive carbon isotopes are used. 14 C-labeled methane gas was used to prepare natural gas hydrates with radioactive tracer properties; methane with tracer properties was obtained through depressurization extraction. 14 CH4, using marine radiometric detectors to detect methane generated during depressurization mining. 14 This invention analyzes the content and distribution of CH4 to reveal the gas migration pathways during natural gas hydrate extraction. It is simple and quick to operate, provides reliable and accurate experimental results, and enables remote real-time monitoring of gas migration pathways during hydrate extraction, solving the current problem of difficulty in obtaining gas migration pathways during natural gas hydrate extraction.

The present application provides a terminal posture determination method and related devices, the method comprising: obtaining multiple simulated building outline features and simulated posture information corresponding to each simulated building outline feature, the simulated building outline feature is obtained based on satellite images; obtaining building outline features in pictures taken by the terminal; and determining the simulated posture information corresponding to the simulated building outline feature that matches the building outline feature among the multiple simulated building outline features as the terminal's posture information. The implementation of the present application can achieve low-cost and high-precision acquisition of the terminal's 6DOF information, solving the problem of lack of accurate position information and posture information in application service requirements such as AR / VR.

The application discloses a method, device, equipment and medium for water treatment process dosing control, wherein the water inflow, backflow, flocculation influencing factor, pre-filter turbidity and PAC dosing amount at the current time are acquired; the water inflow and backflow are summed to obtain the mixed water inflow at the current time; the mixed water inflow, flocculation influencing factor, pre-filter turbidity and PAC dosing amount are input into a target dosing prediction model to output a target dosing prediction value, and the target dosing prediction model is generated according to the mixed water inflow, initial dosing prediction value and optimal weight; the initial dosing prediction value is acquired based on an initial dosing prediction model, and the optimal weight is calculated based on a fitting function corresponding to the mixed water inflow. The core parameter of the mixed water inflow is introduced, the target dosing prediction model is obtained through multi-dimensional reuse of the mixed water inflow, the target dosing prediction value can be accurately obtained, and the dosing control effect of the water treatment process is improved.

The invention relates to the technical field of learning resource allocation, in particular to a learning resource allocation method, system and device and a readable storage medium, and the method comprises the steps of teaching resource library establishment, initial test, teaching resource allocation, learning, interruption intervention, on-site test, learning state acquisition, adjustment judgment, maintenance and resource allocation adjustment. The system comprises a teaching resource library, an initial test module, a teaching resource allocation module, a learning module, an interrupt intervention module, a class test module, a learning state acquisition module, an adjustment judgment module, a maintenance module and an adjustment resource allocation module. The method has the effects of matching the learning resources according to the learning effect of the student and improving the learning efficiency.

This invention relates to the field of intelligent rail transit technology, providing a track detection method, apparatus, electronic device, and storage medium. The track detection method includes: obtaining target image data representing a track region from image data acquired by a camera; obtaining target point cloud data representing the track region from point cloud data acquired by a lidar based on the camera parameter matrix and the target image data; extracting a transformation matrix from the lidar coordinate system to the track plane coordinate system based on the target point cloud data; obtaining target track data generated by projecting the target image data onto the track plane based on the camera parameter matrix and the transformation matrix; and fitting a target track equation based on the target track data. This invention's track detection scheme combines the sensing capabilities of lidar with the motion-distortion-free and pixel-dense characteristics of camera imaging, improving track detection accuracy, increasing track detection distance, and efficiently and accurately obtaining track detection results.

The present invention discloses a method and device for mining recommendation information, and relates to the field of computer technology. A specific implementation of the method includes: extracting attribute elements of a set attribute type from text description information of a target object to obtain scene attribute information of the target object; combining the attribute elements of the scene attribute information according to a set combination strategy to generate scene combination information including event attribute elements; generating recommendation information of the target object according to the attribute elements of the scene combination information and a set recommendation template. This implementation combines the attributes of the target object itself with the user's intention, which can not only highlight the target object, but also meet the user's needs, improve the recommendation effect, and enhance the user experience.

The invention discloses a lithium ion battery thermal characteristic parameter in-situ test method based on isothermal calorimetry. The invention aims to solve the problems of discrete measurement points, long consumed time and the like caused by offline measurement in the existing battery thermal characteristic parameter testing method. The method comprises the following steps: firstly, building a battery isothermal heat measuring device, and providing a thermal characteristic parameter in-situ test method according to an equivalent heat transfer model; secondly, carrying out a charge-discharge experiment on the battery by using a small-rate current, and successively superposing cosine modulation powers with different frequencies in the flexible heating sheets on the upper and lower sides to realize measurement of modulation heat flow in the charge-discharge process; and finally, performing fast Fourier transform, complex plane solution, model parameter identification and other means on the response voltage signal and the excitation current signal under the multi-frequency cosine modulation power to obtain thermal characteristic parameters such as thermal capacity and heat conductivity coefficient of the battery under the whole charge state distribution. According to the invention, the synchronous in-situ measurement of the charge-discharge heat production power, the heat capacity and the heat conductivity coefficient along with the change of the charge-discharge depth of the battery is realized.

The invention discloses a method for separating, purifying and identifying tea cake disease pathogenic bacteria, which is characterized by comprising the following steps of: firstly collecting disease samples, then pretreating diseased leaves, then separating the pathogenic bacteria, then selecting hyphae for purifying and culturing, then respectively verifying the pathogenic bacteria and extracting DNA (deoxyribonucleic acid) of the pathogenic bacteria, and finally carrying out PCR (polymerase chain reaction) amplification and identification. According to the method, the ejection characteristic of mature basidiospore is fully utilized, the diseased tissue is directly fixed on the culture dish cover for isolated culture, the probability of contamination of endophyte and influence of infectious microbes is extremely low, the culture efficiency is improved, and tea cake disease pathogenic bacteria can be ensured; pCR amplification confirmation is carried out on the rDNA-ITS region of the pathogenic bacteria through universal primers ITS1 and ITS4 in a genome transcription spacer region, so that the selectivity of a target strain is enhanced, and the pathogenic bacteria can be rapidly identified.

The utility model discloses a rock-soil loading device and a rock-soil testing device, and relates to the technical field of rock-soil stress simulation, the rock-soil loading device comprises a loading head, a horizontal bearing frame, a vertical bearing frame, a rotary bearing frame, a horizontal driving device, a vertical driving device and a rotary driving device, the horizontal bearing frame is used for being fixedly arranged above a model box, and the vertical bearing frame is used for being fixedly arranged above the model box; the vertical bearing frame can move in the horizontal direction along the horizontal bearing frame, the rotary bearing frame can move in the vertical direction along the vertical bearing frame, the loading head is arranged on the rotary bearing frame, the loading head can rotate, and the loading head is used for making contact with a rock-soil sample in a model box. Rotating torque, horizontal test force and vertical test force are applied to the rock-soil sample; the horizontal driving device is arranged on the horizontal bearing frame, the vertical driving device is arranged on the vertical bearing frame, and the rotary driving device is arranged on the rotary bearing frame; according to the utility model, the stress movement condition of the rock-soil sample can be comprehensively and effectively simulated.

The invention relates to the technical field of vehicles, and discloses a movable support of multi-information fusion sensing equipment, which comprises a translation driving module, a first rotation driving module, a second rotation driving module, a mounting platform and a control module. The first rotation driving module is arranged on the translation driving module, and the translation driving module can drive the first rotation driving module to move in the first direction. The second rotation driving module is arranged on the first rotation driving module, the first rotation driving module can drive the second rotation driving module to rotate around a first axis, the first axis extends in a second direction, the second direction is the height direction of the movable support of the multi-information fusion sensing equipment, and the second direction is perpendicular to the first direction. The mounting platform is arranged on the second rotation driving module, the second rotation driving module can drive the mounting platform to rotate around a second axis perpendicular to the first axis, and the translation driving module, the first rotation driving module and the second rotation driving module are all in communication connection with the control module.

The invention is applicable to the technical field of intelligent medical treatment, and provides a semantic logic-based medical retrieval system, which comprises an acquisition module, a construction module, a semantic analysis module, a processing module, a storage module and a retrieval module, the construction module is used for constructing a semantic word bank by the words acquired from the target data source by the acquisition module; the semantic analysis module is used for classifying words in the constructed semantic word bank through semantic analysis; the storage module is used for storing the words analyzed and classified by the semantic analysis module into a storage unit; the processing module is used for determining a keyword in a to-be-processed statement and determining a data source within a certain range; when the system is used for searching the search word, the search is only carried out in the literature containing the medical statistics method, so that the accuracy of the search result is improved, and the search word and the word with the same semantics or association relationship with the search word are used for searching, namely, the search range is expanded, and the recall ratio is improved.

The present invention provides a molecular marker and application of the function of the peanut endocarp color regulatory gene AhLAC, wherein the molecular marker is A05.114993389, located at 114,993,389bp of peanut chromosome 5, and the molecular marker site is an InDel insertion and deletion marker. Based on the mutation type of the sequence of the peanut endocarp color regulatory gene AhLAC, the present invention develops the KASP molecular marker of A05.114993389 (InDel site), and the typing results of the marker in the natural population material of peanut are completely linked to the endocarp color, proving the accuracy of the marker. The KASP marker can quickly and accurately obtain the endocarp color information of the peanut material, and can be applied to peanut molecular assisted marker breeding.

The present invention discloses a gate tunneling current simulation method under the action of total dose, comprising the following steps: step 10, performing three-dimensional device structure modeling on a SOI NMOS device; step 20, modifying a gate dielectric material parameter file of the SOI NMOS three-dimensional device structure model to activate a Radiation model and set an irradiation bias state of the model; step 30, setting an irradiation dose rate and a plurality of different irradiation times, performing irradiation total dose simulation on the SOI NMOS three-dimensional device structure model, and extracting a threshold voltage V corresponding to different irradiation doses. th ; Step 40, the threshold voltage V th The gate tunneling current characteristics under the total dose effect are obtained by inputting the empirical formula of the gate tunneling current for simulation. The present invention obtains the device threshold voltage by changing with time under different bias states and different irradiation doses, and then substitutes the changed threshold voltage into the empirical formula of the gate tunneling current for simulation, so as to accurately obtain the gate tunneling current under different total irradiation doses.