22results about How to "Shorten analysis time" patented technology

The invention discloses a voltage first traveling wave characteristic-based flexible DC line single-ended protection method and system, and the method comprises the steps: collecting fault voltage and current signals, judging whether the fault voltage and current signals meet a starting criterion standard or not, and building a voltage first traveling wave mathematical model under internal and external faults based on the collected signals if the fault voltage and current signals meet the starting criterion standard; introducing a tangent envelope area ratio k into the voltage first traveling wave mathematical model to represent attenuation characteristics of the voltage first traveling wave; analyzing the relation between the tangent envelope area ratio and the transition resistance and the fault position based on the tangent envelope area ratio; and comparing the tangent envelope area ratio with a setting value, and judging internal and external faults. A voltage first traveling wave tangent envelope area ratio is adopted to represent waveform morphological characteristics, and internal and external identification criteria are constructed. The method is not influenced by transition resistance in principle, can quickly and reliably identify a fault area, has relatively high sensitivity to a high-resistance fault, and has certain noise interference resistance. The method can be used for main protection in a flexible direct-current power transmission system.

The invention discloses a rapid detection system and detection method for textile defects. The method comprises the following steps: acquiring an image of a textile detection area in real time; the texture period of the textile detection area image is analyzed, and periodic features are extracted to serve as a preliminary template; a convolutional neural network model is called to carry out defect detection on the preliminary template, and the positions of defects are marked; defects are extracted from the preliminary template, and a periodic texture template is formed; processing the defects, setting a threshold value of error defects, marking the error defects in the defects, and uploading the marked defects to a model database for learning; comparing the periodic texture template with the texture period of the textile, marking a potential defect area, comparing with an error defect, and cancelling the defect mark if the similarity is higher than a set threshold value; according to the method, the periodic texture template is compared with the textile texture period, the potential defect area is quickly locked, the potential defect area is detected again, and whether the defect is an error defect or not is judged.

The invention discloses an intelligent remote data monitoring device for on-load testing, and relates to the technical field of power system testing and monitoring. The method comprises the following steps: an acquisition module used for acquiring electrical parameters of a to-be-tested circuit in real time and summarizing the electrical parameters to obtain summarized data; the encryption gateway is electrically connected with the acquisition module and is used for receiving the summarized data, encrypting the summarized data to obtain encrypted data and transmitting the encrypted data; the server is in signal connection with the encryption gateway and is used for receiving the encrypted data; and the intelligent terminal is in signal connection with the server, obtains the encrypted data through the server, decrypts the encrypted data and then generates an experiment report. According to the invention, the accuracy of on-load test intelligent remote data monitoring is improved.

This invention relates to the field of chromosome abnormality recognition technology, specifically to a chromosome abnormality detection method based on a multimodal large model. The method includes: constructing an image dataset and a text dataset; fusing image features and text features to obtain multimodal fusion features; assigning anomaly scores to image blocks belonging to band regions based on anomaly scoring rules formulated from the multimodal fusion features, and comprehensively processing the anomaly scores of all image blocks corresponding to the chromosome to determine whether the chromosome image is abnormal; and decoding and generating natural language text that meets the requirements of chromosome abnormality detection based on the multimodal fusion feature representation and anomaly scoring rules. This invention achieves accurate chromosome abnormality detection and band location positioning through multimodal fusion and dynamic text generation mechanisms, generating interpretable natural language text descriptions, and improving the practicality and interpretability of the detection results.

The invention provides a bathroom decoration scheme intelligent generation method and device. The method comprises the following steps: acquiring a decoration demand of a customer and a to-be-customized indoor space real-shot picture; a decoration demand is input into the trained bathroom design scheme to generate a model, and the bathroom design scheme is predicted through the model; and generating a rendering graph of the indoor space to be customized by using the bathroom design scheme and the real shot graph of the indoor space to be customized. According to the method, the design efficiency and quality are improved, and more personalized and targeted design experience is provided for customers; meanwhile, the cost is saved for enterprises, the market competitiveness is improved, and the time for demand analysis and budget evaluation in the traditional manual customization process is greatly shortened; the demand point of the customer can be more accurately grasped, and the situation that the design scheme does not conform to the expectation of the customer due to understanding deviation is avoided.

The invention belongs to the technical field of environment detection, and particularly relates to a method for analyzing total nitrogen in water. The method includes: preparing a nitrogen standard solution; injecting a nitrogen standard solution into the quartz tube by using an injector, and vaporizing the nitrogen standard solution in the quartz tube; introducing the vaporized nitrogen standard solution into a reaction chamber by using argon, carrying out combustion cracking reaction on the vaporized nitrogen standard solution in the reaction chamber to convert into NO, reacting NO with O3 gas to convert into excited state NO2 *, and emitting photons when the excited state NO2 * jumps to a ground state; and the photomultiplier is used for detecting the photon intensity according to a specific wavelength. The method is wide in linear range, the water sample does not need to be diluted during detection, and errors caused in the dilution process are avoided. The method is good in detection repeatability and high in accuracy, the analysis time is shortened by 50 min compared with an existing method, and the analysis time and the labor intensity are effectively reduced. The sample can be directly injected, the environmental pollution is avoided, and the pollution or element loss possibly caused in the pretreatment process of the sample is avoided.

The invention provides a communication system, method and device based on FIDL interface document conversion, and relates to the technical field of communication. Each subsystem in the plurality of subsystems is respectively deployed with an interface document conversion module, the interface document conversion module is configured to convert a predefined FIDL interface document into an interface code under a target language type, the FIDL interface document is separated from a function code, and the target language type is a language type matched with the subsystem; a communication adaptation module is deployed in each subsystem, and the communication adaptation modules are configured to convert communication data into Json character string data when any two subsystems communicate, and transmit the Json character string data according to a WebSocket communication protocol based on interface codes. The method can reduce the workload of code modification and improve the communication efficiency.

This invention belongs to the field of high-dimensional vector retrieval technology, specifically involving a method for constructing and retrieving high-dimensional vector indexes based on hierarchical heterogeneous storage. The method includes an index construction stage and a query retrieval stage. The index construction stage includes hierarchical configuration of the Hierarchical Navigation Small World Graph (HNSW), hierarchical heterogeneous storage, and neighbor rule construction. The query retrieval stage includes starting node selection, PQ algorithm candidate set pre-screening, LRU cache optimization, and binary serialization storage. The method is structured as "basic storage - pre-screening - intermediate acceleration - low-level parsing." Through the collaborative design of "hierarchical heterogeneous storage + multiple optimization mechanisms," this method significantly improves query throughput during retrieval while controlling memory overhead. It is suitable for AI applications in high-dimensional vector scenarios such as retrieval enhancement generation, personalized recommendation systems, and multimodal search, where there are strict requirements for memory usage, query throughput, retrieval recall, and dynamic update efficiency.

This invention discloses a method for determining the elemental content of iron ore using variable importance-artificial neural network-assisted laser-induced breakdown spectroscopy. The method includes the following steps: S1: Collect LIBS spectral data and elemental content data from at least 13 batches of iron ore in at least four categories. Use radiometric analysis (RF) to measure the importance of LIBS spectral features. A variable importance threshold is used to optimize the input variables of the BP-ANN model. The variable importance threshold and the number of neurons in the BP-ANN model are optimized using the determination coefficients and root mean square error of five-fold cross-validation to establish a VI-BP-ANN model. S2: Using the VI-BP-ANN model from S1, input the LIBS spectral data. The model ranks the features according to variable importance and calculates the elemental content in the iron ore. This invention's detection method can rapidly detect the total iron content, calcium content, magnesium content, aluminum content, and silicon content in iron ore.

The present invention provides a method and system for dynamic assessment of earthquake disaster losses based on multi-source disaster data, and relates to the technical field of data processing. The method comprises acquiring multi-source original data sets; cleaning information data sets, removing redundant information and extracting time tags, and unifying all time tags to coordinated time; screening traffic data sets, removing abnormal flow values, and extracting effective traffic flow information; performing spatial coordinate conversion on image data sets, and aligning image coordinates with the geographical coordinate system of the disaster area; calculating the traffic access index of each area, calculating the building damage rate and road access rate in the area, analyzing the access conditions and resource arrival difficulty of each area, and combining the personnel distribution and important facility location in the information data set; marking different loss levels for each area in the disaster area, and generating a dynamic assessment report. The present invention has a good dynamic assessment effect.

The application discloses a kind of caisson construction dynamic monitoring and deviation correction linkage method, comprising: in caisson structure and peripheral environment preset multiple type monitoring point, real-time acquisition monitoring data;Based on real-time monitoring data, when caisson inclination, axis displacement, daily sinking volume any one parameter reaches design allowed threshold value, deviation correction start signal is automatically triggered;According to deviation cause, deviation actual value and design allowed threshold value, corresponding deviation correction measure combination is matched;Deviation correction measure implementation process continuously acquires monitoring data, real-time verifies deviation correction effect, until caisson posture recovers to within allowed deviation range;Until caisson elevation, inclination, axis displacement simultaneously satisfy design requirement, stop deviation correction, enter bottom sealing procedure.The application also discloses a kind of caisson construction dynamic monitoring and deviation correction linkage system.The application is by real-time monitoring caisson posture, structure stress, peripheral stratum deformation, combined with symmetrical excavation, local counterweight deviation correction, realizes sinking precision dynamic regulation and control.

A simplified analysis method for seismic response of an offshore jacket platform comprises the steps that firstly, a three-dimensional structure finite element model of the jacket platform is established, the model comprises a jacket and main components of an upper module, the influence of secondary components on the structural rigidity is ignored, and the secondary components are loaded into the model in the mode of modifying the material density; the equipment weight is loaded to a corresponding gravity center position in a mass point form, meanwhile, the mass of attached water and the mass of attached marine organisms are considered in the model, and then the model is constrained by adopting an equivalent build-in pile boundary condition. And performing modal analysis on the model to obtain first-order and second-order total vibration frequencies of the model, and querying a corresponding seismic acceleration in a given seismic response spectrum according to the two-order vibration frequencies of the platform. And then loading the two horizontal seismic accelerations obtained by calculation in the previous step into the model, solving and analyzing by using finite element software, and finally evaluating. The method is simple in process and low in analysis time consumption, and about 5 hours of modeling time can be saved.

The invention relates to the technical field of power distribution room operation and maintenance, and provides an acousto-optic warning device for power failure and power transmission of switching operation of a power distribution room, which integrates a microcomputer five-prevention locking system, a controller, an acousto-optic alarm device and a light flickering device. The switch state of a power distribution room is monitored in real time through the sensor module, after data are preprocessed through the controller, risks are evaluated through a machine learning early warning model, when danger is found, the controller immediately starts sound-light alarm and light flickering, a microcomputer five-prevention locking system is synchronized, and accurate transmission of operation instructions is improved. The device effectively solves the problems of high possibility of wrong interval and high misoperation risk in power failure and transmission operation of a power system, and remarkably improves the operation safety and efficiency, reduces the misoperation probability and enhances the system reliability through acousto-optic dual reminding and tight synchronization with a locking system. The system is reasonable in design and easy to install and maintain, provides powerful technical support for safe and stable operation of a power system, and has wide application prospects and practical value.

The invention relates to a vehicle software flashing effect evaluation method and device based on association attribution analysis. The method comprises the following steps: acquiring multidimensional data flashed by vehicle software in real time; through a Pearson correlation coefficient and a Granger causal test, an incidence relation matrix is generated; clustering the multi-dimensional data through a K-means clustering algorithm to obtain key parameters of the multi-dimensional data; on the basis of the incidence relation matrix, the key parameters and the flashing operation, through a Binseg algorithm and geometric topology characteristics, constructing a space-time evidence chain of vehicle software flashing; based on the space-time evidence chain, through Shapley value calculation, determining a plurality of flash factors; eliminating interference factors from the plurality of flashing factors through matching contrast and logistic regression of multi-dimensional data; and on the basis of the plurality of flashing factors after the interference factors are eliminated, calculating a software flashing score through an analytic hierarchy process. According to the method, through multi-dimensional data association analysis, evidence weight optimization and contribution degree quantification, the evaluation accuracy, the operation and maintenance efficiency and the flashing success rate are improved.

The invention discloses a multi-polarization-state atmospheric aerosol laser radar device capable of synchronously outputting distinguishable components. The multi-polarization-state atmospheric aerosol laser radar device is provided with a laser transmitting module, an echo signal receiving module and a signal processing module. The laser emission module accurately distributes laser energy through a spectroscope, and a polarization state modulation module is utilized to synchronously generate various polarization state light beams (horizontal, vertical, 45-degree linear polarized light and right-handed circular polarized light), so that synchronous output of the multi-polarization state light beams is realized, and the problems of time delay and measurement errors caused by traditional time-sharing modulation are solved. The echo signal receiving module adopts a plurality of parallel independent telescope systems, receives back scattering signals in different polarization states at the same time, generates a Mueller matrix in combination with the signal processing module, and accurately calculates the components of the aerosol. Compared with the prior art, by means of accurate energy light splitting and synchronous modulation, the stability and the real-time performance of the detection system are remarkably improved, angle errors are eliminated, and the time resolution and the measurement precision are improved.

The invention provides an insertion and deletion mutation data analysis method, device and system and a readable storage medium, and relates to the field of high-throughput next-generation sequencing. The method comprises the following steps: acquiring a sequence comparison file and extracting an intersection sequence; generating a target fragment according to the CIGAR value in the intersection sequence; carrying out primary screening and removing treatment on the target fragment; re-comparing the target fragment to obtain a comparison result; mutation site information is obtained according to the comparison result. According to the method, the sequence near the InDel breakpoint is processed based on the comparison result, the InDel representative sequence with high consistency in different sequences can be accurately found, the target InDel is rapidly obtained through local re-comparison, and accurate frequency statistics of the target InDel is achieved by adopting a BAM re-comparison mode. And the problem of analysis of extremely low frequency or complex type mutation is solved.

The invention discloses a fault analysis method and system based on a virtual DCS, the method is applied to a fault analysis system, and the fault analysis system comprises an injection device, a deduction analysis device and a nuclear power simulation platform based on the virtual DCS. The DCS fault data are sent to the injection equipment, the DCS fault data comprise fault points, monitoring variables and deduction time, the injection equipment generates fault variables, control instructions and monitoring instructions according to the fault points and the deduction time, and the fault variables and the control instructions are sent to the nuclear power simulation platform; the monitoring variable and the monitoring instruction are sent to the deduction analysis equipment, the nuclear power simulation platform executes simulation according to the fault variable and the control instruction, and the deduction analysis equipment monitors the simulation process of the nuclear power simulation platform according to the monitoring variable and the monitoring instruction to obtain a monitoring result corresponding to the monitoring variable. The efficiency of nuclear power plant fault analysis and the accuracy of a fault analysis result are improved.

The invention discloses a reagent for detecting HLA alleles and application thereof, and belongs to the technical field of gene detection. The reagent can be used for independently detecting the HLA-B * 15: 02, the HLA-A * 31: 01, the HLA-B * 58: 01 and the HLA-B * 57: 01, or the HLA-B * 31: 01, the HLA-B * 58: 01 and the HLA-B * 57: 01 and the HLA-B * 51: 01 and the HLA-B * 51: 01 and the HLA-B * 51: 01 and the HLA-B * 51: 01 and the HLA-A * 31: 01 and the HLA In addition, when the reagent is used for simultaneously detecting HLA-B * 15: 02, HLA-A * 31: 01, HLA-B * 58: 01 and HLA-B * 57: 01, a detection scheme that one color corresponds to multiple targets is implemented by utilizing a two-dimensional PCR (Polymerase Chain Reaction) technology. According to the scheme, in a single closed reaction tube, four HLA alleles, namely HLA-B * 15: 02, HLA-A * 31: 01, HLA-B * 58: 01 and HLA-B * 57: 01, can be rapidly, accurately and efficiently identified at the same time, so that the urgent requirements of a high-throughput gene detection technology on the aspects of simplicity and convenience in operation and low cost at present are met, and adverse reactions caused by clinical drugs can be effectively avoided, thereby guiding clinical safe medication.

The present invention discloses a method, device, equipment and storage medium for quick application startup. The method for quick application startup includes: in response to a user-initiated program startup command, in the object metadata definition information embedding point of the program initialization class, scanning the metadata folder under the class path to obtain the target metadata file; parsing the target metadata file, and initializing and inserting the package name, class name and Spring object metadata information of the original instance data in the parsed original instance data into the Spring container; in the container initialization embedding point, based on the Spring container context, inserting the Spring object associated with the Spring container context in the original instance data into the Spring container; and starting the application based on the inserted metadata information and Spring object. The technical solution of the embodiment of the present invention improves the efficiency of application startup.

The invention relates to the field of interior design, and discloses an interior design method, device and equipment and a storage medium, and the method is used for rapidly generating a personalized design scheme by collecting and analyzing customer demands and budget, and generating a rendering graph in combination with a real shot graph to realize efficient and accurate home design service. The method comprises the following steps: collecting customer home design information, and extracting keywords in the customer home design information; determining the demand and budget of the customer according to the extracted keywords; importing the requirements and budget of the customer into the trained design scheme generation model, and obtaining a design scheme output by the design scheme generation model; and obtaining a to-be-designed indoor space real-shot image, and generating a rendering image of the to-be-designed indoor space according to the to-be-designed indoor space real-shot image and the design scheme.

The invention relates to the technical field of data verification, and discloses a budget demand data automatic verification method, computer equipment and a storage medium, and the method comprises the steps: creating an Excel form comprising a data verification module, an articulation verification module and an automatic summarization calculation module; a data verification module is used for verifying budget demand data in the Excel form; an articulation checking module is used for checking the articulation between a general table and a detailed table in the Excel form; and automatically summarizing and calculating the budget demand data and the basic data of each unit in the Excel form by using an automatic summarizing and calculating module, and storing the data in a database. By introducing an advanced automatic verification tool, data can be more effectively integrated, processed and analyzed, so that the workload of manual operation is greatly reduced, the burden is reduced, the data processing and analysis time is shortened, the working efficiency is improved, and the resource allocation process is more efficient, accurate and reliable.

The invention provides a method for determining the content of acetate in a compound sodium acetate-glucose injection, and belongs to the technical field of medicine component analysis, the content of acetate is determined by adopting a high performance liquid chromatography (HPLC) technology, high-sensitivity and high-resolution separation and detection can be realized, and the detection accuracy is high. According to the method, chromatographic conditions (such as chromatographic column temperature, mobile phase composition, flow velocity, detection wavelength and the like) are accurately set, operation steps are standardized, a reference substance solution is reasonably selected, a hydrogen-type sulfonated cross-linked styrene-divinyl benzene copolymer is adopted as a chromatographic column filling agent, and ultrasonic degassing treatment is introduced; the accuracy and the reliability of determination are improved, so that the method is more accurate, higher in efficiency and better in stability when being used for detecting the content of acetate.