26results about How to "Valid data support" patented technology

The invention discloses an intelligent drought risk management method and system based on disaster attribution analysis. The method comprises the steps of data acquisition, data enhancement, disaster attribution analysis, disaster dynamic risk assessment and intelligent drought risk management. The invention relates to the field of drought risk management, and adopts an intelligent drought risk management integrated method combining disaster attribution analysis and disaster dynamic risk assessment to perform drought disaster dynamic analysis from the angle of attribution, and perform multi-factor feature mining in combination with a plurality of feature optimization models. The complexity processing capability and the real-time precision of intelligent drought risk management are improved, and the fusion performance of multi-field data is also improved; performing disaster attribution analysis by adopting an improved support vector machine model combining an expert model and graph neural network feature optimization; and carrying out disaster dynamic risk assessment by adopting a gating circulation unit which combines the generative adversarial network and the graph convolution network and is deepened in feature.

The invention relates to the technical field of temperature and humidity control, in particular to an intelligent temperature and humidity control method and system for a low-temperature fresh-keeping metal granary. The method comprises the following steps: firstly, acquiring various original data of the metal granary, predicting short-term environmental data in the granary in combination with a TFT model, and providing an accurate prediction basis for temperature and humidity control; secondly, multi-source data fusion is carried out on insect body monitoring images and audio frequency, image and audio frequency information is comprehensively analyzed, and the comprehensiveness and multi-dimensional analysis capability of insect pest monitoring are improved; finally, the accuracy and sensitivity of pest monitoring are improved through a multi-source data recognition model, a temperature and humidity control strategy is optimized in combination with a DQN reinforcement learning model, automatic and intelligent temperature and humidity adjustment is achieved, the environmental conditions in a granary are guaranteed, and the grain storage period is effectively prolonged.

The invention discloses an intelligent cloud problem fault analysis method and system, and relates to the technical field of cloud computing, and the method comprises the steps: extracting data features, and carrying out the first extraction of fault features; carrying out fault prediction and positioning; and establishing a first alarm mechanism, creating a fault management knowledge base, and providing an automatic processing suggestion. According to the method, deep analysis and processing of fault data are achieved by extracting fault features, the accuracy and efficiency of fault prediction and positioning are improved, guarantee is provided for the stability and reliability of a cloud system, efficient recognition and processing of faults are achieved through fault prediction and positioning, and the fault prediction and positioning efficiency is improved. According to the invention, the method improves the accuracy and efficiency of fault processing, guarantees the stability and reliability of the cloud system, achieves the quick response and effective processing of faults through a fault alarm mechanism and a fault management knowledge base, and improves the operation and maintenance efficiency and the stability and reliability of the cloud system.

A data processing method and device based on cloud monitoring, medium, equipment and product, relate to the technical field of computer, the method comprises the following steps: receiving the first monitoring data reported by the first application, the first monitoring data contains the call chain segment data and the call chain context of the first application, the call chain context contains the link identifier and the application identifier of the first application; receiving the second monitoring data reported by the target service, the second monitoring data contains the call chain segment data and the call chain context of the target service; in response to receiving the monitoring information query request, determining the monitoring information corresponding to the monitoring information query request based on the first monitoring data and the second monitoring data, and sending the monitoring information to the monitoring client. Thus, the first application and each target service called by the first application can report monitoring data based on the same call chain context, thereby obtaining the monitoring data of the full link corresponding to the request.

The invention discloses corn seed coating and pelleting equipment, and belongs to the technical field of agricultural equipment, the corn seed coating and pelleting equipment structurally comprises a bearing table, the bearing table is provided with a plurality of sizing containing tiles used for containing corn seeds and placing seed coating materials, the upper side of the bearing table is slidably provided with a synchronous pressing table, and the lower side of the bearing table is slidably provided with a synchronous lifting table; a sizing pressing pestle is arranged on the synchronous pressing table, an arc-shaped edge I and an arc-shaped edge II are arranged at the bottom of the sizing pressing pestle, and a spherical cavity is defined by the arc-shaped edge II and the inner side face of the sizing containing tile. According to the method, the seeds do not need to be dried for a long time, the rot phenomenon caused by the fact that wet water on the surfaces of the seeds permeates into the seeds is effectively avoided, and on the basis, a round seed coating layer in a regular shape is constructed on the outer side of the seeds; when the seeder is used, the round seed coating layer can ensure that seeds are distributed more uniformly in the seeding process, so that balanced seeding density is realized, and healthy growth of crops in the whole growth cycle is ensured.

This invention belongs to the field of medical device technology and discloses a knee joint detection device based on multi-channel acoustic information. It includes a wearable carrier and a sensor array mounted on the wearable carrier. When the wearable carrier is in wear mode, the acoustic sensor units in the sensor array are evenly distributed around the knee joint to collect acoustic signals from the knee joint under different activity states. Each acoustic sensor unit includes a flexible circuit board and two microphones mounted on the flexible circuit board; both microphones on the flexible circuit board are connected to a main control unit. This invention fixes the array-type acoustic sensor units at points around the knee joint, realizing multi-channel, multi-location acoustic signal acquisition, which can provide effective data support for personalized diagnosis and treatment recommendations for patients.

The application discloses a Chinese human phenotype ontology recognition method and related equipment, which can be applied to the technical field of text information processing. The application can effectively improve the recall rate by expanding the human phenotype ontology concept synonym set through a large language model, generating an expanded dictionary with the initial dictionary, significantly enhancing the discrimination ability of the recognition model for semantically ambiguous concepts through two-stage comparative learning, balancing the precision and recall rate by constructing an initial dictionary based on the human phenotype ontology official database and the Chinese human phenotype ontology official data, merging and disambiguating the current input text after accurate matching and semantic similarity matching to obtain a fused candidate result list, and finally obtaining the structured recognition result corresponding to each current input text by post-processing each candidate fragment in the fused candidate result list, which can provide effective data support for disease diagnosis.

The invention discloses a multi-warehouse and multi-branch change record viewing system and method, electronic equipment and a medium. The method comprises the following steps that S1, a storage module stores information of a trigger node; s2, the interaction module receives the specified node information and transmits the specified node information to the storage module; s3, the management module obtains information through the specified node information and the trigger node information of the storage module, wherein the information comprises first information and second information; s4, a comparison module compares the first information and the second information obtained in the step S3 to obtain difference data; and S5, the interaction module presents or displays the difference data in the step S4. According to the method, multi-warehouse and multi-branch comparison can be carried out by analyzing the branch dependency relationship between different constructions; therefore, differences of two times of construction can be compared, and the rationality of submission and troubleshooting can be effectively checked.

This utility model discloses a strength testing device, including a fixing fixture, a first force sensor, and a second force sensor. The fixing fixture is used to fix the test piece, the first force sensor is used to measure the load on the test piece in a first direction, and the second force sensor is connected to a force application device to measure the load on the test piece in a second direction. The first and second directions intersect, and the fixing fixture is disposed within the angle region between the first and second directions. This strength testing device can perform crash tests on subframes and other test pieces, and can simultaneously acquire loads in both the X and Y directions during the test, thereby providing effective data support for subsequent vehicle design verification.

The invention discloses a portable multi-pathogen nucleic acid rapid detection method and detector based on CRISPR biosensing, and relates to the technical field of nucleic acid detection.The detector comprises a containing box, a bottom plate is fixed in the box, a first supporting seat, a second supporting seat and a computer module are arranged on the bottom plate, the first supporting seat is rotationally connected with a chip mounting assembly, and the chip mounting assembly is rotationally connected with a chip. The chip installation assembly is provided with a micro-fluidic chip, multi-state locking of the chip installation assembly is achieved through the locking piece and the second supporting base, and the computer module is provided with an adjustable display assembly in a matched mode. According to the detection method, multi-point transportation is achieved through the folded and stored detector, samples are processed through the micro-fluidic chip after the detector is unfolded, and nucleic acid amplification, detection and result display are completed in combination with the optical detection and heating module and the computer module. The device is regular in structure, convenient to transport, flexible to operate, stable in detection and suitable for on-site and multi-point nucleic acid detection scenes, and the detection efficiency and applicability are effectively improved.

The invention relates to the technical field of steel wire damage diagnosis, in particular to a steel wire damage diagnosis method and system.The method comprises the steps that a surface image of a to-be-diagnosed steel wire is obtained and preprocessed to obtain a first steel wire diagnosis image, a steel wire abrasion diagnosis model is constructed to recognize the first steel wire diagnosis image, and steel wire abrasion characteristics are obtained; obtaining a steel wire wear coefficient according to the steel wire wear characteristics; constructing a steel wire deformation diagnosis model to identify the first steel wire diagnosis image to obtain steel wire deformation characteristics, and obtaining a steel wire deformation coefficient according to the steel wire deformation characteristics; and according to the steel wire wear coefficient and the steel wire deformation coefficient, a steel wire damage coefficient is obtained, and according to the steel wire damage coefficient and a preset steel wire damage coefficient threshold value set, steel wire damage categories are obtained, and the steel wire damage categories comprise intact damage, slight damage, moderate damage and serious damage. By comprehensively analyzing the abrasion and deformation of the steel wire, the accuracy of steel wire damage diagnosis is remarkably improved.

The invention relates to the technical field of data processing, and discloses a static application security detection false alarm judgment system based on LLM. Comprising the following steps: extracting security detection data, performing de-duplication processing on the replaced security detection data, calculating the similarity of the security detection data, constructing a vector library, calculating the real-time similarity of the security detection data to be discriminated, and screening matched data from the vector library. Interpreting annotation data corresponding to the to-be-discriminated security detection data according to the big language interpretation model; compared with the prior art, each replaced security detection data can be ensured to keep independence and uniqueness, the similarity calculation burden is reduced, the similarity calculation time is saved, and the similarity calculation efficiency is improved. And simple and understandable natural languages corresponding to the safety detection data can be accurately and quickly interpreted from the complicated and lengthy safety detection data, so that non-professionals can conveniently carry out false alarm discriminant analysis operation on the safety detection data of the application program.

This invention belongs to the field of agricultural remote sensing technology and relates to a method for estimating farmland-scale evapotranspiration, comprising: 1) acquiring basic data of the study area based on a UAV; the basic data includes multispectral image data, thermal infrared image data, and meteorological data; 2) preprocessing the multispectral image data and thermal infrared image data obtained in step 1); 3) obtaining instantaneous farmland evapotranspiration based on the meteorological data in step 1) and the multispectral image data and thermal infrared image data preprocessed in step 2); 4) extending the instantaneous farmland evapotranspiration obtained in step 3) to a daily scale to complete the estimation of farmland-scale evapotranspiration. This invention provides a method for estimating farmland-scale evapotranspiration that can effectively estimate farmland-scale evapotranspiration while ensuring high estimation accuracy.

The invention is suitable for the technical field of automobile glass surface type detection, and provides an optical detection device, system and detection method for automobile glass and an image acquirer, a lens is arranged at one end of the image acquirer, and a workbench is arranged in the extension direction of the lens of the image acquirer. The top end of the workbench is used for placing a standard product or a to-be-detected product; the stripe displayer is arranged above the side, away from the image collector, of the workbench, the included angle between the extension of the bottom face of the stripe displayer and the extension of the upper surface of the workbench ranges from 35 degrees to 40 degrees, and the stripe displayer is used for projecting stripe images; and a data processor. The device solves the problems of checking fixture accumulation and high labor cost caused by manual detection, and achieves the effects of improving the applicability of the device, improving the production efficiency, improving the detection precision, reducing the false detection risk of products, improving the qualified rate of the products and improving the traceability of production data.

The invention discloses an air quality forecasting method based on integrated deep learning, and the method comprises the steps: obtaining a sample data set of grids in a monitoring region, analyzing the correlation of data between the grids based on a Pearson correlation coefficient, and obtaining a label correlation coefficient of a model training label and a feature correlation coefficient of a model training feature; taking each grid as each node of the neural network diagram, judging a connection relationship between the nodes according to a feature correlation coefficient and a label correlation coefficient between the grids, and generating a connection matrix list; and taking the neural network graph structure and the connection matrix list as the input of a graph neural network layer, taking the output of the graph neural network layer as the input of an MLP full-connection layer, and obtaining an air quality prediction result in the monitoring area after nonlinear combination of the MLP full-connection layer. By taking the output result of the traditional mode as the label of the model and learning and optimizing the weight parameter of the traditional mode, the prediction time can be remarkably shortened, and the prediction efficiency can be improved.

This invention discloses a method, device, and medium for resolving conflicts between unmanned aerial vehicles (UAVs), relating to the field of UAV traffic control technology. The method includes: acquiring a target conflict event that is about to occur between UAVs; weighted summing of multiple conflict indicators of the target conflict event to assess the conflict level, wherein the multiple conflict indicators include at least one of conflict distance, conflict duration, flight speed, airspace complexity, and task priority; performing conflict resolution according to the conflict level, and inputting the full-parameter features of the conflict resolution into an online decision tree model to evaluate the resolution effect, wherein the full-parameter features include the conflict level, each conflict indicator, and conflict resolution action parameters; when the resolution effect is lower than a set level, using a SHAP model to locate the cause of the poor resolution effect. This embodiment can optimize the conflict resolution effect of UAVs.

The invention discloses a dissimilar metal galvanic couple compatibility evaluation method based on a linear analysis technology, and the method comprises the following steps: 1, drawing a polarization curve graph of which the horizontal axis is logarithmic current density X and the longitudinal axis is potential Y according to the original polarization curve data for the polarization curve data of a dissimilar metal A material; and 2, obtaining an intersection point of the cathode polarization curve and the anode polarization curve, and making a self-corrosion potential line Y = Y0 through the intersection point. The method is suitable for the technical field of corrosion protection, and relates to a galvanic corrosion compatibility evaluation method for a dissimilar metal connection structure in an automobile, a plan curve analysis technology is integrated into dissimilar metal galvanic compatibility evaluation, and the method is suitable for evaluating the compatibility of the dissimilar metal connection structure. The experimental period can be remarkably shortened, and the compatibility of the dissimilar metal galvanic couple in the automobile can be quickly evaluated.

The application provides a data analysis method, system, medium and electronic equipment. The method comprises: acquiring at least one group of detection data of a wafer to be analyzed; for any one group of detection data, identifying the wafer to be analyzed according to a corresponding detection standard to generate a defect identification map of the wafer to be analyzed; performing a superposition operation on each defect identification map to generate a comprehensive defect map of the wafer to be analyzed, and performing data analysis on the wafer to be analyzed according to the comprehensive defect map. The technical scheme of the application can integrate the detection data of each process section, clearly show the evolution of defects and process problems, and provide effective data support for process improvement and equipment monitoring.

The present application relates to the technical field of screw detection, and discloses a precision ball screw pair detection system and method, which comprises an image enhancement module, a feature extraction module, a reference image generation module, a defect image determination module, a defect area positioning module and a monitoring report generation module, wherein: a multi-angle original image sequence is subjected to visual enhancement processing to obtain an enhanced image; multi-dimensional feature extraction is performed on the enhanced image to obtain a multi-dimensional feature image set; the ball screw pair is reversely mapped into a pixel grid of the enhanced image to obtain an optical simulation reference image; the optical simulation reference image and the multi-dimensional feature image set are subjected to causal inference, and an initial defect atlas is determined according to the inference result; conditional area decoupling is performed on the enhanced image to obtain a defect image area; and the multi-dimensional feature image set is subjected to multi-element correlation analysis to generate a defect detection report; the present application can improve the accuracy of precision ball screw pair detection.

The application relates to the technical field of gene detection, and discloses a method for detecting fusion genes based on DNA-based sequencing data, which comprises the following steps: step S1, acquiring DNA sequencing data, filtering the sequencing data by using software fastp, and obtaining filtered sequencing data; step S2, detecting by using software Genefuse, obtaining a first fusion gene result and related parameters; step S3, detecting by using software Factera, obtaining a second fusion gene result and related parameters; step S4, detecting by using software Arriba, obtaining a third fusion gene result and related parameters; and step S5, acquiring a fusion gene filtering model, taking the first fusion gene and related parameters, the second fusion gene and related parameters, and the third fusion gene and related parameters as input data to calculate a true positive fusion gene, and outputting a result. The application constructs a fusion gene screening standard based on multiple software, avoids false positives or false negatives of a single software detection result, and improves the detection rate and correctness of the fusion gene.

This application relates to the field of flight control technology, specifically providing a method, apparatus, storage medium, and electronic device for aircraft route planning. The method may include: filtering candidate subgraphs that satisfy a flight mission from a pre-constructed route knowledge graph; wherein the candidate subgraph includes at least one corridor path; a corridor path represents a connected region; the route knowledge graph is constructed using multiple corridor paths in flight space as entities, along with the semantic relationships and entity feature vectors of the entities; calculating the relationship score of each corridor path; and determining the flight route for executing the flight mission from the at least one corridor path based on the relationship score of each corridor path. Embodiments of this application can enable efficient low-altitude route planning for aircraft.

The utility model discloses a kind of parasitic wasp parasitic efficiency monitors, it is related to pest control technical field, its scheme includes: parasitic wasp rearing device and observation device: the parasitic wasp rearing device is used to rear parasitic wasp, first opening with openable and closable is provided on the side wall of the parasitic wasp rearing device, the first opening is used for parasitic wasp to pass through;The observation device is set to the periphery of the parasitic wasp rearing device, the observation device surface is provided with gauze for parasitic wasp to pass through, host larva is placed in the observation device, first monitor is provided at the top of the observation device.Such setting, the parasitic process of the device can be monitored to parasitic wasp, and its parasitic efficiency is counted, overall convenient to use, the data obtained is accurate, solve the time-consuming and labor-consuming, data error big problem of traditional manual observation and statistics, can provide effective data support for subsequent parasitic wasp warehouse release operation.

The present invention discloses a wind power control system based on a 5G network, which belongs to the technical field of wind power generation, and comprises an environment module, an operation module, a communication module and a control center; the environment module comprises a fixed unit and a mobile unit, the fixed unit is used to obtain the location information of the wind power equipment; the mobile unit is used to obtain the environment information of the wind power equipment; the operation module is used to obtain the operation information of the wind power equipment, monitor the operation of the wind power equipment, and obtain an environment analysis set and an early warning analysis set; the communication module comprises a wired communication unit and a wireless communication unit; the wired communication unit and the wireless communication unit are both used to transmit various data during the operation of the wind power equipment; the control center adjusts the communication mode of the wind power equipment according to the environment analysis set, and warns the operation of the wind power equipment according to the early warning analysis set; the present invention is used to solve the technical problem of poor operation effect of the wind power control system in the existing scheme.

The invention provides a number position information storage method, system and device and a medium, and belongs to the technical field of communication, and the method comprises the steps: obtaining the position information of each number at the current moment from a core network; generating first key value pair data associated with each user number by taking the user number contained in each piece of number position information as a key and other information contained in each piece of number position information as a value; for the location information of each base station cell included in each piece of number location information, the location information of the base station cell is used as a key, and other information included in different number location information associated with the location information of the base station cell is used as a value. Generating second key value pair data associated with the position information of the base station cell; and storing the first key value pair data and the second key value pair data into a memory based on a distributed cache technology.

The utility model discloses a hydraulic engineering geological survey underwater soft soil measuring device which comprises a mounting seat, the upper surface of the mounting seat is fixedly connected with a device body, and the inner bottom wall of the device body is fixedly connected with a machine cover. According to the device, by operating the touch panel, the motor can be started to drive the winding and unwinding device to rotate, the assembled sampling driver and sampling head are put into water, after the sampling driver and the sampling head are put in place, the sampling driver is started to drive the sampling head to rotate and be inserted into underwater soft soil, and a soft soil sample can be sampled through the sampling head; according to the underwater soft soil sampling device, the amount of underwater soft soil can be accurately measured, after sampling is finished, the retractable device can be driven by the motor to rotate reversely, the sampling head is pulled out through the sampling driver, finally, the quick connecting sleeve is disassembled to separate the driver and the sampling head from the device body, and a soft soil sample in the sampling driver is taken out for subsequent geological analysis. The sample can be prevented from being lost or polluted in the taking-out process.

The present invention relates to the technical field of liquid flow metering, and proposes a metal tube float flowmeter, including a main body, the main body having a stroke channel, the stroke channel having an inlet and an outlet; a float slides in the stroke channel; a first elastic member is arranged on the inner wall of the stroke channel at one end, and the other end is arranged on the float, providing a force for the float to approach the inlet; both ends of the stroke channel have limit parts, the two limit parts are symmetrically arranged, and the ends of the two limit parts close to each other both have a stopper, one end of the first elastic member is arranged on the stopper close to the outlet side, and the float slides close to or away from the stopper close to the inlet side. Through the above technical scheme, the problem of increased difficulty in installation and use caused by the traditional float flowmeter in the prior art that can only measure the fluid entering from the bottom of the flowmeter and flowing out from the top in a vertical manner is solved.