25results about How to "Fully determined" patented technology

The embodiment of the invention discloses a slope stability early-stage risk judgment method, device and equipment based on an intelligent measurement pile, and relates to the technical field of slope engineering safety prevention and control. The scheme can comprise the following steps: acquiring sensing data of a plurality of intelligent measuring piles in a monitoring area, wherein the sensing data at least comprises displacement data and inclination data; wherein the intelligent measuring pile is arranged on the surface of a slope; based on a preset partitioning algorithm, the monitoring area is divided into a plurality of intelligent measurement pile unit spaces according to the positions of the multiple intelligent measurement piles, and each intelligent measurement pile unit space comprises one intelligent measurement pile; processing the displacement data and the inclination data of each intelligent measuring pile to obtain a deformation parameter vector of each intelligent measuring pile; the deformation parameter vector is compared with a first early warning threshold value, and an over-limit intelligent measurement pile is obtained; a preset clustering algorithm is utilized to cluster the over-limit intelligent testing piles, a plurality of risk partitions in the monitoring area are obtained, and each risk partition comprises at least one intelligent testing pile unit space; according to the deformation parameter vector of each risk subarea intelligent measurement pile, determining a risk subarea comprehensive deformation characterization parameter value, and comparing the risk subarea comprehensive deformation characterization parameter value with a second early warning threshold value to obtain a risk grade of each risk subarea; according to the comprehensive deformation characterization parameter value of the risk partition and the area factor of the comprehensive deformation characterization parameter value, determining the comprehensive deformation characterization parameter value of the overall risk of the slope, and comparing the comprehensive deformation characterization parameter value with a third early warning threshold value to obtain the overall risk level of the slope, so that the early risk state of the slope stability can be comprehensively and accurately judged under the condition of realizing large-range coverage monitoring.

The invention relates to an equipment operation and maintenance method and device, computer equipment and a readable storage medium. The method comprises the following steps: inputting maintenance sorting index values of equipment in a transformer substation into an equipment maintenance sorting model to obtain maintenance sorting scores of the equipment; according to the maintenance sorting score of each device in the transformer substation and the operation index value of the transformer substation, determining an overall maintenance sorting score of the transformer substation and a transformer substation maintenance sorting result; and for the interval equipment unit in any transformer substation, according to the maintenance sorting score of each equipment in the interval equipment unit and the operation index value of the interval equipment unit, determining an overall maintenance sorting score and an interval maintenance sorting result of the interval equipment unit. By adopting the method, the accuracy of equipment maintenance sorting can be improved.

This application provides a robot localization method, a computer program product, and a storage medium. The robot localization method includes: acquiring image data and odometer data of a target cage during robot movement; acquiring coordinate information of feature structures on the target cage from the image data; and determining the robot's localization data based on the coordinate information and the odometer data. This eliminates the need for additional QR code tags, positioning base stations, etc., reducing costs and making the robot less susceptible to interference. Furthermore, by combining the coordinates of feature structures in the image with the odometer data, the robot's position can be comprehensively determined, improving the accuracy of robot localization.

The application relates to the technical field of PCIe devices, and discloses a parameter configuration method and device, a computer device and a storage medium, the method comprising the following steps: setting a plurality of first preset value combinations; configuring preset values of a plurality of PCIe devices according to the first preset value combinations, and performing first testing on the plurality of PCIe devices to obtain first testing results; determining an effective preset value range that can be configured by each PCIe device according to the first testing results; selecting an effective preset value from the effective preset value range corresponding to each PCIe device to form a second preset value combination; configuring preset values of the plurality of PCIe devices according to the second preset value combination, and performing second testing on the plurality of PCIe devices to obtain second testing results; and determining an optimal second preset value combination according to the second testing results corresponding to the plurality of second preset value combinations. The application can determine optimal preset values corresponding to each PCIe device respectively, and can simultaneously ensure the stability of PCIe links of each PCIe device.

The invention discloses a method for determining economical efficiency of different crushing station positions, and belongs to the technical field of moving of strip mine crushing stations. By establishing an economic analysis and evaluation model, different schemes of the position of the crushing station are obtained, and construction is carried out according to the minimum cost after the sum of the costs of all the schemes is compared. According to the method, all factors possibly influencing the economical efficiency of the positions of the crushing stations are comprehensively considered, quantitative comparison of all the influence factors is achieved, the method for determining the positions of the different crushing stations with universal applicability is formed, economic indexes of the positions of the different crushing stations are comprehensively, efficiently, rapidly and accurately determined, the advantages and disadvantages of the scheme are judged, and the economic efficiency of the crushing stations is improved. Scientific and reasonable decision-making of the strip mine crushing station moving project is achieved, a good economic effect is achieved for the strip mine, and the working efficiency and quality of similar research are improved.

The application provides a cabinet machine injection shell defect detection method and device based on machine vision. It relates to data processing technology. The method comprises: obtaining an initial image of the injection shell and a first real-time stress value from a stress sensing bolt arranged at a specified hole position of the injection shell; generating a preset stress simulation strategy, and controlling a mechanical arm to apply a simulated load to a target detection surface of the injection shell based on the preset stress simulation strategy; during the application of the simulated load, obtaining a real-time deformation image of the target detection surface and a second real-time stress value of the stress sensing bolt; determining a deformation detection value of the target detection surface according to the initial image, the real-time deformation image, the first real-time stress value and the second real-time stress value; and determining the detection attribute of the corresponding injection shell based on the matching result of the deformation detection value and the preset defect judgment rule. The application combines visual image analysis and stress deformation monitoring to accurately detect the injection shell and effectively identify potential defects.

The invention discloses a phase change reference-based coal low-temperature oxidation trace heat accurate determination method, which comprises the following steps: S1, selecting a raw coal sample, setting a temperature change interval of the raw coal sample, subsequently measuring the low-temperature oxidation heat yield of the raw coal sample in the temperature change interval, and selecting an organic phase change material according to the temperature change interval; s2, acquiring a heat flow curve of the organic phase-change material measured by a set heating program by using a micro-thermal analyzer; s3, collecting a heat flow curve of the raw coal sample with the organic phase-change material as a reference, which is measured by a set heating program, by using a micro-thermal analyzer; s4, acquiring a heat flow curve of the raw coal sample measured by a set heating program by using a micro-thermal analyzer; and S5, respectively calculating according to the temperature change interval to obtain specific heat change values Q1, Q2 and Q3, and subtracting the Q2 value from the Q1 value to obtain the actual oxidation heat release of the raw coal in the selected temperature change interval. According to the invention, the measurement precision of the heat release of low-temperature oxidation of the coal sample can be improved.

This application provides a fault analysis method and system for nucleic acid testing instruments. Based on the fault triggering data of acquired candidate fault log data under multiple fault linkage evaluation indicators, the system determines the representational feature vector of the candidate fault log data under multiple fault linkage evaluation indicators. This determines the fault linkage confidence value between each candidate fault log data, and based on the fault linkage confidence value between each candidate fault log data, the system determines the target fault linkage feature of each candidate fault log data. Thus, based on multiple fault linkage evaluation indicators, the system more comprehensively determines the fault linkage confidence value between candidate fault log data, making the evaluation of the fault linkage confidence value between candidate fault log data more reasonable and improving the calculation accuracy of the fault linkage feature. This, in turn, improves the accuracy of subsequent fault service nodes in retrieving relevant fault linkage features.

The invention discloses a method and a device for determining the size of a leakage point of an oil pipe. The method comprises the steps that pressure change information of an oil pipe of a target gas well and pressure change information of a casing pipe of the oil pipe in a plugging state and a releasing state are obtained respectively, and a target well section containing a leakage point in the oil pipe is determined according to the pressure change information of the oil pipe and the pressure change information of the casing pipe; target pressure states of the oil pipe at a plurality of target positions in the target well section are obtained, and local leakage point sizes corresponding to the leakage points in the oil pipe at the target positions are determined according to the target pressure states; and determining the target leakage point size corresponding to the leakage point in the oil pipe according to the local leakage point sizes determined at the plurality of target positions, thereby comprehensively and accurately evaluating the severity and the distribution condition of the leakage point, improving the reliability and the precision of leakage point detection, optimizing the maintenance scheme, reducing the maintenance cost, and improving the detection efficiency. And safe and efficient operation of the oil-gas well is ensured.

The application discloses a kind of fracture conductivity determination method and device, it is related to oil and gas field development technical field, main purpose is to improve the efficiency and accuracy of fracture conductivity determination method.The main technical scheme of the present application is: obtaining the fracture conductivity database of target work area;According to the fracture conductivity database of target work area, obtain the basic architecture of fracture conductivity neural network;Determine neural network weight and threshold training method based on preset training accuracy;Based on the basic architecture of fracture conductivity neural network, the preset training accuracy and the neural network weight and threshold training method, adjust neural network training method and carry out neural network training, obtain neural network model;According to the neural network model, determine the fracture conductivity of target work area.The present application is mainly used for efficiently and accurately determining fracture conductivity, and then provides reliable fracture conductivity parameters for hydraulic fracturing reconstruction, design.

The embodiment of the invention discloses a model change detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring stress-strain data detected by at least one fiber bragg grating in a geologic structure model and model image data of the geologic structure model acquired by image acquisition equipment; determining a target matching relationship between the stress-strain data and the model image data; and determining model change information of the geological structure model in the structure deformation process based on the target matching relationship, the stress-strain data and the model image data. According to the technical scheme provided by the embodiment of the invention, the surface condition and the internal stress-strain condition of the model can be reflected through the model change information, so that the internal stress-strain condition and the external surface condition of the geological structure model can be detected; and the model change of the geological structure model in the structure deformation process can be determined more comprehensively and accurately.

The utility model provides a railway axle variable diameter area defect detection sample shaft which comprises a sample shaft body, and the sample shaft body comprises a plurality of artificial defect grooves arranged on a first variable diameter section body and artificial defect holes arranged on a second variable diameter section body and a third variable diameter section body. The railway axle variable diameter area defect detection device can realize comprehensive, specific and rapid determination of the railway axle variable diameter area defect detection effect, solves the problem of variable diameter area detection effect verification, and guarantees the overall quality of an axle.

The invention provides a dialogue service evaluation method and device, computer equipment and a storage medium. The method comprises the steps that dialogue information of multiple candidate dialogue services is acquired, and the dialogue information comprises simulation answer information and service output information; dialogue information of each candidate dialogue service in the multiple candidate dialogue services is input into a service evaluation model to obtain a dialogue score of each candidate dialogue service, and the service evaluation model is obtained based on big language model training; and determining a target dialogue service from the plurality of candidate dialogue services according to the dialogue score of each candidate dialogue service. By means of the method, the target dialogue service can be determined more comprehensively and efficiently, and the effect of the learning experience of the user for language learning through the dialogue service is improved.

The embodiments of the present invention disclose a method, device, electronic device and storage medium for determining image information. The method includes: obtaining a medical image to be processed, extracting the corresponding time series image data in the medical image; inputting the time series image data into a pre-trained image recognition model to determine the time series image information of the time series image data; wherein the image recognition model is based on a combination of a convolutional neural network and a recurrent neural network. In the technical solution of the embodiments of the present invention, the convolutional neural network can determine the graphic features of the time series image data, and the recurrent neural network can determine the time series features of the time series image data, thereby comprehensively determining the time series image information by combining the graphic features and the time series features, thereby improving the accuracy and effectiveness of the determined time series image information.

The application discloses a brain function analysis method and device based on three-dimensional pseudo-continuous arterial spin labeling, and the method comprises the following steps: extracting a cerebral blood flow map from a three-dimensional pseudo-continuous arterial spin labeling image of a subject; obtaining a relative cerebral blood flow map of the subject based on a three-dimensional T1 weighted imaging image of the subject through an implicit neural cross-attention registration model; the implicit neural cross-attention registration model uses a double-flow implicit neural field and a cross-attention mechanism to obtain the relative cerebral blood flow map under a standard brain space; registering the relative cerebral blood flow map of the subject with a standardized brain function partition map to obtain a relative cerebral blood flow map of each brain function partition; calculating a perfusion parameter value set of the cerebral blood flow of each brain function partition, analyzing the brain function activity of each brain function partition, and finally determining the brain function state of the subject. The application can accurately analyze the brain function partition state.

The application relates to the technical field of document query assistance, in particular to a structured XML standard document intelligent query assistance system based on a large model, which comprises a data receiving module, a document comparison module, a data division module, a data analysis module, a text generation module, a data statistics module and a data processing module, whether the processing of each document is qualified is determined based on a click probability, when it is determined that the processing of each document is abnormal, a preset reference quantity is adjusted to a corresponding value, whether the operation of the document generation module is qualified is determined based on the average push quantity of the average single output push document of the text generation module, when it is determined that the operation of the document generation module is abnormal, a preset category quantity used for dividing the relevance of single batch documents is adjusted to a corresponding value. The feedback of the user is analyzed, the system is optimized according to the use behavior of the user, and the query efficiency of the document is improved.

The present application relates to oseltamivir phosphate single crystal and its preparation method. The present application selects specific mixed solvent to slowly evaporate to obtain needle-like crystal, which is the first successful preparation of oseltamivir phosphate single crystal in the world. The oseltamivir phosphate single crystal prepared by the present application has the chemical formula of C 16 H 31 N2O8P, a molecular weight of 410.40, and a crystal structure belonging to orthorhombic system, a space group of P21212, a=23.9002(6)Å, b=24.4812(6)Å, c=7.4191(2)Å, α=90°, β=90°, γ=90°, V=4340.96(19)Å 3 , Z=8. The preparation and determination of the single crystal have important significance and application value for the structure-activity relationship study of oseltamivir phosphate drug and new drug development.

The invention discloses a rubber buffer rigidity curve determination method and related equipment, and relates to the technical field of analog simulation, and the method comprises the steps: obtaining a rubber part model corresponding to a rubber buffer; determining a rubber body structure unit corresponding to the rubber buffer part based on the geometric surface of the rubber part model; the rubber body structure unit is subjected to simulation definition operation and then subjected to analogue simulation to obtain an output result, the simulation definition operation comprises the steps that static analysis of geometric nonlinearity is established, and the rubber compression state of the rubber body structure unit in the analogue simulation process comprises a linear stage and a nonlinear stage; based on the output result, the rigidity curve of the rubber buffer part is determined, and the output result comprises the loading displacement and the bearing reaction output. By means of accurate modeling, nonlinear behavior consideration, comprehensive simulation data analysis and the like, accurate determination of the rigidity curve of the rubber buffer part is realized, and the rigidity curve simulation precision of the rubber buffer part is improved.

The invention relates to a battery life prediction method and device and a vehicle, and the method comprises the steps: obtaining the charging and discharging information and battery parameter information of a target battery of a target vehicle in each preset period in a preset time period, and obtaining the vehicle operation rate of the target vehicle in the preset period, and according to the charging and discharging information, the battery parameter information and the vehicle operation rate, a battery life prediction result corresponding to the target battery is obtained through a pre-trained battery life prediction model. In this way, the active life influence factor of the battery when the vehicle runs and the passive life influence factor of the vehicle in the non-running state can be comprehensively considered, and the determination of the battery life influence factor is more comprehensive. Meanwhile, the battery life prediction model is adopted to predict the battery life, the influence condition of different battery parameters on the battery life can be accurately determined, and the reliability and accuracy of battery life prediction are improved.

The invention discloses a method and a device for determining a root of a text, computer equipment and a storage medium. In the application, candidate roots corresponding to the text are searched from a root library; then according to the word frequency inverse document frequency of the candidate word root, the part-of-speech information, the document information of the document where the candidate word root is located, and the position information of the candidate word root in the document, determining the weight parameter of the candidate word root, and finally, according to the weight parameter of the candidate word root, determining the position of the candidate word root in the document. And determining a target word root corresponding to the text from the candidate word roots. According to the method and the device, the accuracy and uniformity of text root determination can be improved, and the accuracy and normalization of data table contents are improved.

The embodiment of the invention relates to the technical field of nuclear reactors, in particular to a nuclear reactor function analysis method based on a model. The method comprises the following steps: S1, determining a nuclear reactor top layer function according to a nuclear reactor model requirement; s2, for each top-layer function, performing function flow analysis, and decomposing the top-layer function into a plurality of sub-functions; s3, performing sub-function failure analysis on a plurality of sub-functions decomposed from the top-layer function, and identifying newly added sub-functions; s4, determining all sub-function compositions of the nuclear reactor according to function flow analysis and sub-function failure analysis; and S5, according to the task scenes and all the sub-functions of all the life cycle stages of the nuclear reactor, performing sub-function interaction scene analysis, and determining interfaces among all the sub-functions of the nuclear reactor. According to the method provided by the embodiment of the invention, the functional composition and the functional interface of the nuclear reactor can be more comprehensively determined, and a foundation can be laid for subsequent reasonable division of a nuclear reactor system and division of equipment composition.

The invention provides a vegetation distribution detection method and system based on radar imaging, and the method comprises the steps: fusing vegetation reflectivity sequence data and vegetation coverage sequence data in different radar detection periods, carrying out the coding representation, and generating a vegetation coding feature. And then, the vegetation coding features and corresponding sequence data are fused and loaded into a corresponding vegetation distribution detection network for vegetation distribution detection, so that the accurate vegetation reflectivity of the target vegetation region at the target period observation node can be generated, and the growth trend parameters of the target vegetation can be determined. By combining the vegetation reflectivity and the growth trend parameter, the vegetation distribution state parameter of the target vegetation area at the target period observation node can be comprehensively and accurately determined, and compared with the prior art, the detection accuracy and reliability are improved.

The invention relates to the technical field of voice and voiceprint recognition, and provides a speaker distinguishing method based on a voice recognition and voiceprint recognition large model Cam + +, and the method comprises the steps: obtaining a start timestamp and an end timestamp corresponding to each sentence in an input audio through the voice recognition large model Cam + +, segmenting an audio clip corresponding to each sentence according to the starting timestamp and the ending timestamp; filtering the audio clips of which the duration is lower than a preset duration threshold; inputting the filtered audio clips into a voiceprint recognition large model Cam + +, and obtaining a voiceprint feature vector of each audio clip; obtaining an initial K-means clustering number; initial K-means clustering is carried out, and deviated abnormal feature vectors are taken out; carrying out secondary processing on the extracted deviation anomaly feature vector; clustering, merging and grouping; and processing all the ungrouped fragments. According to the method, the advanced large model is used, the voiceprint recognition accuracy of the large model is improved, meanwhile, the granularity for distinguishing the speakers is improved, multi-layer K-means distinguishing is conducted, and the accuracy of the speaker grouping number is improved.

The invention discloses a device for measuring formation attitude in an exploratory well and a use method. An annular track is arranged on the inner wall of a shell in the circumferential direction; the direction sensing assembly comprises a compass located below the shell and a first rotary moving mechanism connected with the compass, and the first rotary moving mechanism is assembled on the annular rail and can move along the annular rail to drive the compass to move in the circumferential direction of the inner wall of the exploratory well. The dial plate of the compass is always parallel to the inner wall of the exploratory well at the corresponding position; the image acquisition assembly comprises a camera module located below the shell and a second rotary moving mechanism connected with the camera module, and the second rotary moving mechanism is assembled on the annular track and can move along the annular track to drive the camera module to move in the circumferential direction of the inner wall of the exploratory well. And the camera module and the dial plate of the compass can be always in a vertical state. The stratum occurrence description is complete and accurate, and rock and soil technicians do not need to go into an exploratory well personally for observation.