115results about How to "Exact match" patented technology

The invention discloses an AI substitute inspection method and system based on multi-modal perception, and relates to the technical field of intelligent detection. According to the method, images, audios, environmental parameters and equipment state data of an inspection area are synchronously collected through a multi-modal sensor array, and after space-time alignment preprocessing, multi-modal features are extracted and input into a pre-trained fusion model to generate unified feature representation. The fusion model adopts a Transform architecture to realize cross-modal feature interaction, an anomaly detection algorithm is used to identify and classify anomalies, a confidence coefficient is calculated in combination with an evidence theory, and finally an inspection report containing anomaly positions, types and processing suggestions is generated. According to the invention, the information limitation of single-mode inspection is solved, the detection accuracy and robustness in a complex environment are improved, unmanned inspection in a high-risk scene is realized, the labor cost is reduced, the safety is guaranteed, and the method is suitable for automatic inspection in the fields of industrial equipment, public facilities and the like.

This application discloses an image-text matching method, device, and storage medium. The image-text matching method includes: extracting global visual features using the visual coding features of the target image, and extracting global text features using the text coding features of the target text; using the text coding features, generating importance parameters corresponding to each visual feature channel in the global visual features; removing features corresponding to visual feature channels whose importance parameters do not meet the requirements from the global visual features to obtain enhanced visual features; and performing feature matching on the enhanced visual features and the global text features to obtain a matching result for the target image and the target text. This method can improve the accuracy of image-text matching.

Embodiments of the present application provide a vulnerability scanning strategy matching model training method, device and equipment, and relate to the technical field of network security. The method comprises: obtaining vulnerability scanning records of network devices uploaded by a vulnerability scanning device, including: attribute information of the network devices, vulnerability scanning strategy parameters adopted by the vulnerability scanning device for scanning the network devices, and corresponding vulnerability scanning results; determining vulnerability scanning strategy target parameters corresponding to the network devices according to the vulnerability scanning strategy parameters and the corresponding vulnerability scanning results; generating device attribute samples according to the attribute information, and generating corresponding labels according to the corresponding vulnerability scanning strategy target parameters; generating a training set according to the samples and the labels; training a preset vulnerability scanning strategy matching model using the training set to obtain a model with strong matching capability, and then quickly matching vulnerability scanning strategy parameters corresponding to a network device to be scanned, i.e. a vulnerability scanning strategy, based on the model.

The application discloses a visual positioning method based on memory self-correction. The existing visual positioning method uses fixed image and text representation to capture cross-modal semantic consistency, which limits the flexibility of adjusting image representation according to different text information. In order to cope with this limitation, the application proposes a new memory self-correction network, which dynamically refines the image representation according to the query, thereby improving the semantic consistency between the text and the image to realize visual positioning. A semantic related filtering module (SRFM) and an adaptive memory fusion module (AMFM) are constructed to explicitly model the relationship between the image and the text. SRFM focuses on filtering image information irrelevant to the query, while AMFM adaptively fuses text-related representation with initial image features to enhance the understanding ability of the MSCN model. Comprehensive experiments on three datasets verify the superiority of the proposed method compared with existing methods.

This specification provides a method, device, medium, and program product for training a generative model and retrieving goods. The method includes: acquiring first sample data including first sample goods information; generating multiple first sample query messages from an initial generative model based on the first sample goods information; determining a first positive sample and a first negative sample from the multiple first sample query messages; wherein the correlation between the first positive sample and the first sample goods information is higher than the correlation between the first negative sample and the first sample goods information, and the number of historical queries corresponding to the first positive sample is greater than the number of historical queries corresponding to the first negative sample; determining a first probability that the initial generative model outputs the first positive sample based on the first sample goods information and a second probability that the initial generative model outputs the first negative sample based on the first sample goods information, and training the initial generative model with the goal of increasing the first probability and decreasing the second probability to obtain a target generative model.

The application discloses an article recommendation method and related device, and relates to the field of article recommendation. According to the article ID contained in the article recommendation request, a positive query result is obtained. If the positive query meets the first missing level, and the incremental benefit evaluated based on the article recommendation scene data is not less than the first benefit threshold, a semantic vector is generated according to the article key field to recall a first group of candidate articles similar to the current article from a vector library, a second group of candidate articles corresponding to the current article is recalled from other multiple different databases, multi-dimensional feature fusion evaluation and sorting are performed on each candidate article, and the top N articles are selected as recommended articles. The application reduces invalid filling of low-value recommendation requests through information missing level and incremental benefit evaluation. When the positive feature is missing, candidate articles are recalled from the vector library and multiple different databases outside the vector library, multi-dimensional feature fusion evaluation and sorting are performed on each candidate article, and article recommendation is realized.

The invention relates to a full-automatic performance detection system and method compatible with multi-model lightning arresters, and the system comprises a multi-degree-of-freedom adaptive clamp module which is used for adapting to different models of lightning arresters, and achieving the automatic clamping and positioning of the lightning arresters; the performance detection module comprises an insulation detection sub-module and a withstand voltage detection sub-module and is used for performing performance detection on the lightning arrester; the data acquisition module is used for acquiring detection data in the detection process and transmitting the detection data to the data processing module; the central control module is used for generating a control instruction and controlling cooperative operation among the modules based on the control instruction; and the data processing module analyzes the lightning arrester detection process based on the detection data to obtain a detection result. According to the invention, the problems of poor compatibility and much manual intervention of a traditional detection method are solved, and accurate, efficient and safe detection of the performance of the lightning arrester is realized.

The invention provides a fan temperature-sensing frequency conversion control method and system for flexible production of an aluminum-silicon alloy electrolytic cell. The fan temperature-sensing frequency conversion control method comprises the steps that preset control parameters related to flexible production of the aluminum-silicon alloy electrolytic cell are obtained; temperature parameters during flexible production of the aluminum-silicon alloy electrolytic cell are collected; according to the collected temperature parameters, reference temperature parameters in the control parameters, reference frequency parameters in the control parameters and a preset control strategy, the target frequency of the draught fan is calculated; and on the basis of the target frequency, a frequency converter connected with a fan motor is controlled to operate, accurate and dynamic matching of the air volume of the fan and the production working condition is achieved, the energy consumption of the fan is reduced, and the control flexibility is improved.

The application discloses a kind of full-process supervision systems based on visual offline identification, and the application relates to component production technical field, it is solved that existing technology mostly stays in single size comparison level, lack of the problem of full-process integrated supervision mechanism from model generation, standard matching, automatic splicing to assembly verification, the unified check feature of the present application is constructed by built-in midpoint, plane midpoint and feature vector, corresponding three-dimensional standard model can be matched from model database quickly and accurately, the identification logic is stable, and the anti-interference is strong, effectively avoid the model mismatching problem caused by similar appearance;Through the vector comparison of reference feature and component feature, length difference and included angle calculation, the assembly accuracy can be quantitatively judged, and the assembly standard, correctable and substandard state can be distinguished, the visualization and digitization of assembly quality are realized, the on-site quick error correction and traceability are facilitated, and the assembly reliability and overall production quality of flow line are effectively improved.

The utility model discloses chemical synthetic material analysis and inspection equipment which comprises a base station, a material injection assembly used for conveying chemical synthetic materials to be detected is installed on one side of the top of the base station, and a feeding assembly used for placing the chemical synthetic materials to be detected is installed at the position, corresponding to the material injection assembly, of the top of the base station. According to the utility model, not only can the continuous and stable conveying of the chemical synthetic material to be detected be realized, but also the waiting time in the detection process can be obviously reduced, the detection efficiency can be improved, and the large-scale and high-efficiency chemical synthetic material analysis and detection requirements can be met by adopting the continuous conveying mode, and meanwhile, the height of the injection head can be flexibly adjusted; the sample bottles with different heights can be accurately matched, equipment replacement or complex adjustment operation is not needed, the waste and leakage phenomena of chemical synthesis materials can be effectively reduced, and then the applicability and flexibility of the equipment are enhanced.

The invention relates to the technical field of chemical industry park energy supply, and discloses a chemical industry park production centralized energy supply optimization system. The system comprises an energy conversion station, an energy supply pipeline, an intelligent energy management station, a central control room and a signal instruction transmission line. A combined heat and power generation device and a waste heat recovery device are arranged in the energy conversion station; the energy supply pipeline is of a double-layer structure, the inner layer is corrosion-resistant alloy, the outer layer is high-strength alloy steel, and a buffer heat insulation layer is arranged in the middle. A pressure transmitter, a cut-off valve and an emergency emptying valve are arranged on the pipeline and are connected with a central control room through a signal line; an energy sensor is arranged on the production device and is connected with the intelligent energy management station; and a regulating valve and a flow meter are also arranged on the pipeline. The double-layer pipeline structure is combined with a real-time pressure monitoring and emergency processing mechanism, so that the energy supply safety is remarkably improved; through combined heat and power generation, waste heat recovery and intelligent energy distribution, the comprehensive utilization rate of energy is increased to 78%-82%; and the production stability is guaranteed through accurate regulation and control, and the defective rate of products is effectively reduced.

This specification discloses a method and device for identifying garment processing information based on a data engineering operating system. The method includes: preprocessing the original garment image uploaded by the client to obtain a non-deformable garment image and extracting image features from the non-deformable garment image; encoding the inspiration tags uploaded by the client into semantic vectors, and filtering candidate attribute subsets based on the similarity between the semantic vectors and the tag vectors in a pre-set multi-dimensional attribute database; aligning the image features and tag semantic vectors based on a cross-modal attention mechanism to generate a joint embedding representation vector, and inputting the joint embedding representation vector and the candidate attribute subsets into a pre-set recognition model to identify and output initial garment processing information; performing process completion on the initial garment processing information according to a pre-set process constraint specification library, and detecting the completed initial garment processing information based on a pre-set manufacturability detection strategy, and synchronizing the detected garment processing information to the client.

The application provides a curved surface limiter for a quasi-cyclic symmetric stellarator, which comprises a limiter head; the limiter head is arranged inside a vacuum chamber of the quasi-cyclic symmetric stellarator and comprises a support plate and a graphite protection layer; the graphite protection layer is fixedly connected to the support plate; one surface of the graphite protection layer, which faces the plasma in the vacuum chamber, is a three-dimensional curved surface; and the three-dimensional curved surface extends along the poloidal direction of a three-dimensional magnetic surface structure in the vacuum chamber. The graphite protection layer is arranged, and one surface of the graphite protection layer, which faces the plasma, is designed as a three-dimensional curved surface extending along the poloidal direction of the three-dimensional magnetic surface structure, so that the three-dimensional curved surface can be accurately matched with the three-dimensional magnetic surface structure. During the operation of the plasma, the three-dimensional curved surface can be better matched with the shape of the magnetic surface, so that the heat flow deposited on the three-dimensional curved surface is uniformly distributed along the poloidal direction as much as possible, thereby effectively avoiding local overheating.

The invention discloses a regular expression generation and intention recognition method, related equipment and a program product, original texts of the same intention label are clustered, regular expressions are generated in a classified mode, it can be ensured that the generated regular expressions are more accurately matched with specific business scenes, and the user experience is improved. And confusion of different types of texts is avoided. Furthermore, through structured combination (de-duplication and similar combination) processing on the regular expressions belonging to the sub-categories of the same intention label, the regular expressions can be more universal, and meanwhile, the high matching accuracy of the regular expressions can be kept. Compared with a method of directly generating a general regular expression for all original texts under one intention label, the regular expression obtained by adopting the method is higher in quality and can better adapt to a complex business scene, and the recognition effect of a subsequent intention recognition task is improved.

The invention discloses a building steel structure connecting device, and relates to the technical field of building steel structures, the building steel structure connecting device comprises a connecting main body, the connecting main body is composed of an outer sleeve and an inner sleeve, the outer sleeve is arranged outside the inner sleeve in a sleeving mode, and flange plates are fixedly installed at the two ends of the connecting main body; a plurality of mounting grooves are formed in one side of one of the flange plates at equal intervals; the device further comprises a reset assembly and a connecting assembly; the problems that existing building steel structure connection mainly depends on bolts and is simple and low in cost, but mainly depends on friction to transfer force, so that the bending rigidity of joints is low, slippage deformation is prone to occurring, and the overall stability of the structure is affected are solved; secondly, a bolt connection mode cannot adapt to steel members with different section sizes, so that the construction efficiency is low, and the connection lacks certain flexibility; in addition, an existing connecting structure is generally lack of post-earthquake resetting capacity, large deformation of the structure is often left after a strong earthquake, and the post-disaster using function is seriously affected.

The application discloses an internet hospital hierarchical diagnosis and treatment and resource scheduling method and system, the method comprises the following steps: in response to the diagnosis and treatment request sent by the user, obtaining the diagnosis and treatment data containing the patient's complaint information; inputting the diagnosis and treatment data into the disease assessment model for feature extraction, and outputting a feature vector representing the patient's disease state; the feature vector at least includes a first dimension parameter representing the emergency degree of the disease and a second dimension parameter representing the complexity of the disease; based on the feature vector, determine the target resource node in the hierarchical medical resource database; according to the target resource node, generate a resource scheduling instruction, and establish a communication link between the user terminal and the corresponding server of the target resource node. The application introduces a two-dimensional evaluation system of emergency degree and complexity, combines a dynamic threshold adjustment mechanism based on supply and demand prediction, and significantly improves the utilization efficiency of medical resources and the accuracy of diagnosis matching.

The invention discloses an antenna matching method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the configuration data of a main control cell, and determining at least one controlled frequency band according to the configuration data; screening candidate cells in a first preset position range from the controlled cells corresponding to the at least one controlled frequency band by taking the master control cell as a center; dividing the candidate cells according to sites to obtain site division results, and determining the site closest to the master control cell in the site division results as a target site; determining a target cell sharing an antenna with the target station from the candidate cells based on the signal quality data of the adjacent cells; wherein the adjacent cells are all cells in a second preset position range of the main control cell; according to the invention, accurate matching of the master control cell and the target controlled cell in a multi-frequency antenna scene is realized, an antenna does not need to be newly added or replaced, hardware input cost in a matching process is reduced, and matching effectiveness is guaranteed through step-by-step screening and signal quality verification.

The application provides a remote sensing target matching method based on a convolutional neural network of fused local features, compared with a CNN feature based on an overall image, the CNN feature extracted at a region level has higher robustness and flexibility in identifying small similar regions between partial matching images, a matching region pair is accurately matched through a generating step, which makes the CNN feature extracted from the regions more robust for partial repeated image matching, because a region suggestion model in a rough division efficiently matches local features between images to select a small number of top candidate images, which can greatly reduce the target detection range of the partial repeated images, and the application can realize relatively accurate matching because the good robustness of SIFT features and the high resolution capability of CNN features are fully utilized.

The application provides a reflection memory communication management method and system based on a publish / subscribe mode, which comprises the following steps: publish / subscribe area definition, using an extensible markup language to standardize the description of the communication content of the reflection memory network node; publish / subscribe area matching, establishing a publish area maintenance table and a subscribe area maintenance table, and determining the corresponding relationship between the publish data and the subscribe data according to the index matching; reflection memory address allocation, applying for a publish data memory address to a reflection memory management service, and completing the address mapping of the subscribe data according to the matching relationship; and reflection memory network communication, reading and writing the allocated address in units of communication structures, and realizing the real-time interaction of the test data. According to the supply and demand relationship of the test user data, the application can accurately match the communication addresses and reduce the risk of manual design. Through the reflection memory management service, the address space allocation and recovery are realized, and the network address utilization efficiency is improved.

The invention discloses a non-intrusive traffic identity association method and system based on serial number anchoring and bypass twinning. According to the method, when a zero-trust gateway forwards encrypted service traffic, zero modification of an original message is kept so as to maintain the hardware unloading function of a network card, and meanwhile, a shadow stream carrying identity information and a serial number anchoring interval is sent through an independent UDP channel. And the downstream detection equipment performs logic splicing and identity association on the asynchronously arriving service flow and shadow flow according to the serial number by using an annular buffer area and a bidirectional sliding window algorithm. According to the method, the problems of hardware acceleration failure and encrypted traffic processing caused by traditional intrusive marking are solved, and millisecond identity traceability and refined anomaly detection of the encrypted traffic are realized under the condition that the throughput loss is lower than 1%.

The invention relates to the technical field of electrolytic copper foil production equipment, and discloses a tension roller tension calibration method and device and a crude foil engine, and the tension roller tension calibration method comprises the following steps: calibrating a torque-pressure conversion coefficient k; tension at the two ends of the tension roller is obtained, and the tension difference is calculated; according to the torque-pressure conversion coefficient k, the tension difference value is converted into the equivalent pressure difference needed by the two ends of the tension roller; according to the equivalent pressure difference, corresponding torque is applied to the two ends of the tension roller till the tension difference value is reduced to be within the threshold value, and balance tension calibration is achieved. By determining the torque-pressure conversion coefficient k, the torque of the driving assembly can be accurately converted into the pressure at the two ends of the tension roller, the corresponding pressure is applied to the two ends of the tension roller, and the tension difference value is reduced to be within the threshold value, so that the problem of imbalance of the two ends of the tension roller is accurately solved, copper foil wrinkling during equipment operation is avoided, and the product yield is increased; additional bending moment of the tension roller is eliminated, bearing abrasion is reduced, and the maintenance period is prolonged.

The invention relates to the technical field of computer information processing, in particular to an automatic compliance detection method, device and system. The method aims at solving the problems that in the prior art, due to the fact that compliance inspection depends on manual work, efficiency is low, standards are not uniform, and massive dynamic change rules are difficult to deal with. The method comprises the following steps: firstly, constructing and dynamically updating a structured compliance rule knowledge base; then, obtaining to-be-detected target content through a data interface, and performing analysis and key information extraction on the to-be-detected target content by utilizing a natural language processing technology; then, carrying out automatic matching and logical reasoning on the extracted information and terms in a compliance rule knowledge base so as to identify potential compliance risk points; and finally, generating a structured detection report, and listing risk contents, clauses and correction suggestions in detail. According to the invention, the efficiency and coverage of compliance detection are significantly improved, the risk of artificial omission and false detection is reduced, and the detection efficiency is improved.

The application provides a kind of data acquisition method, device, electronic equipment and medium of rich energy sensor, the data acquisition method, comprising: based on the first feature information of three-dimensional model, the image collected is matched, the corresponding area of image in three-dimensional model is determined, realizes pixel registration;Wherein, the first feature information is in the unit of pixel of three-dimensional model, including first point information, first line information, first surface information;According to the three-dimensional information of corresponding area in three-dimensional model, the pixel point of image is valued;The pixel point of image after valuation contains three-dimensional information;Determine the moving target in image;The attribute information of moving target is acquired, and the corresponding data measurement mode is selected based on attribute information;Wherein, data measurement mode is used to realize the corresponding function of rich energy sensor, including: specific target identification and measurement, meteorological element measurement, foreign matter detection, vibration wave extraction and micro-deformation measurement;Data measurement mode is executed, and measurement data is obtained.

The application discloses a railway turnout curve-based inspection abnormality early warning method and system, relates to the technical field of track detection and early warning, and comprises the following steps: acquiring three-dimensional point cloud data of a railway turnout region track, performing voxelization processing and outlier filtering on the three-dimensional point cloud data, and obtaining a screening set; based on the screening set, generating a neighborhood point set through a preset neighborhood radius, performing convolution operation, outputting a reference track point cloud feature matrix, acquiring a current track point cloud feature matrix, taking the reference and current track point cloud feature matrices as inputs, and performing a parallel screening mechanism to determine a final reference point; based on the final reference point, solving track geometric offset error, performing clustering, generating a track center line using a cubic B-spline curve, performing turnout curve curvature analysis, and constructing a turnout curve parameter vector; and the application can realize real-time monitoring of track change trends and efficient and accurate inspection of railway turnout curves.

The application discloses a kind of flight platform cluster's track planning method and device, the method includes: collection obtains task demand information set and flight platform cluster technical index information set;The task demand information set includes the execution position and demand information of each to be executed task;The demand information includes demand task type information and the demand value of all technical indexes;The flight platform cluster technical index information set includes the execution task type information, position information and technical index value set of each flight platform;The technical index value set includes several technical index values;The task demand information set and flight platform cluster technical index information set are preprocessed, and obtain preprocessed information set;The preprocessed information set is subjected to track planning processing, and obtains the track set of flight platform cluster.

This invention discloses a BIM-based process simulation and consulting service support system and method, relating to the field of 3D modeling and visualization technology. The system includes a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision-making module, and a visualization scheme generation module. By establishing a real-time matching mechanism between physical field data and simulation data, and setting multi-dimensional deviation warning thresholds for different construction stages, the system ensures the accuracy of various process conflict detections. Simultaneously, by linking the ambient lighting parameters collected by sensors with the BIM rendering engine in real time, it can dynamically correct the light and shadow distortion problem in the digital twin scene, avoid misjudgment of material textures caused by light and color temperature deviations, improve the accuracy of process conflict warnings, and reduce construction safety risks and resource scheduling errors.

This invention relates to the field of oil and gas field stimulation technology, and discloses an integrated system and method for horizontal well acidizing design. The system includes a skin coefficient calculation module, which calculates the post-damage composite seepage resistance term, ideal production capacity, and actual production capacity of the horizontal well, and inversely obtains the skin coefficient of each horizontal segment; an acidizing parameter optimization module, which constructs a production capacity prediction model to obtain optimal acid injection parameters; a CT injection calculation module, which dynamically adjusts the fluid absorption weight of each horizontal segment, configuring it as a subdivided horizontal segment at 1m equidistant intervals along the horizontal well axis, and calculates the total friction loss, fluid absorption, wormhole length, and acid absorption zone status of each subdivided horizontal segment; a design report generation module, which generates technical recommendations; and a visual interactive interface module, which provides parameter import, calculation process monitoring, and result visualization. This invention solves the problems of imprecise skin coefficient calculation, lack of closed-loop parameter optimization, low accuracy of acid distribution simulation, non-standard report generation, and poor interactivity in existing technologies.

The invention relates to an advantage evaluation method for a fabricated structure technical system in the field of low-rise houses, and belongs to the technical field of fabricated buildings. The technical problem to be solved is that for selection of an existing fabricated structure technical system in the low-rise house field, a scientific and quantitative mathematical evaluation method is lacked, and accurate matching of the fabricated structure technical system and different application scene requirements cannot be achieved. According to the technical scheme, a target application scene is determined, demand weight coefficients corresponding to cost, construction period and performance are set, benchmarking products are selected to obtain related basic data, fractal dimension advantage indexes and industrialization indexes of a to-be-evaluated system are calculated, comprehensive competitive power indexes are calculated in combination with the weight coefficients, and the system is evaluated. And completing selection of the dominant technology system according to an index result.

This invention discloses a method for fusing congestion events from different batches based on single-batch fused congestion data. The method includes: extracting a historical congestion data table corresponding to the selected city code from a historical database; if the historical congestion data table is empty, storing the current batch of congestion data in the historical database, and setting the initial ID of the fused congestion event and the ID of the previous batch of congestion events as the event IDs corresponding to the current batch of congestion data; if the historical congestion data table is not empty, matching the original congestion event IDs in the current batch of congestion data with the associated event IDs in the historical congestion data table, assigning values ​​to the initial ID of the fused congestion event and the ID of the previous batch of congestion events based on the matching results, and storing them in the historical database. This invention optimizes the data tracking problem caused by changes in event IDs, ensuring that the same event can be correctly matched in different batches of data, and enhancing the consistency of traffic analysis.

This invention relates to a method, apparatus, equipment, and storage medium for optimizing the structure of machine tool components. The method includes the following steps: scanning the machine tool component to obtain a 3D model, and disassembling it into multiple sub-component models; calculating the dimensions of each sub-component, establishing a dimensional parameter table, simulating assembly relationships to generate an assembly simulation model, and identifying and adjusting spatial interference areas to optimize the model; performing material matching analysis based on this model to obtain a material combination scheme, and calculating the load-bearing capacity accordingly; combining the load-bearing capacity and material scheme to optimize the structure and materials of the machine tool component; determining reinforcement requirements through marking key stress areas and evaluating stress concentration factors; and implementing structural reinforcement measures for high-stress areas, such as increasing wall thickness or adding reinforcing rings, ultimately achieving optimized design of the entire machine tool component. This invention solves the technical problems commonly found in existing design processes, such as the disconnect between the model and the physical object, and the lag in verifying the assembly relationships between sub-components.