26 results about "Filter analysis" patented technology

The invention relates to a big language model enhanced knowledge adaptive learning planning system, and belongs to the field of intelligent education. The system comprises a knowledge center module, a learner portrait module, a path planning module and an intelligent learning guiding module, and the knowledge center module extracts entities and relationships from a multi-modal data source by using a large language model to construct a knowledge graph; the learner portrait module collects multi-dimensional learning data of the user and maps the multi-dimensional learning data to corresponding nodes of a knowledge graph, and dynamically deduces a learner portrait through a Bayesian knowledge tracking model; the path planning module generates an initial learning path based on the knowledge graph and the learner portrait, establishes a collaborative filtering analysis model, predicts and optimizes the expected effect of the current learner following the initial learning path in combination with a Bayesian knowledge tracking model, and finally generates a target learning path; and the intelligent learning guiding module generates a standardized knowledge card for each knowledge node on the target learning path through a security retrieval enhancement generation technology.

The invention relates to the technical field of mechanical equipment fault diagnosis, and discloses a fault diagnosis method and system for an automatic tensioning control valve of a scraper conveyor. The method comprises the following steps: acquiring pressure and flow data of a main flow channel and an auxiliary flow channel through a sensor array, and extracting frequency domain characteristics to obtain a standardized frequency spectrum; detecting parameter coupling abnormity based on the spectrum cross correlation coefficient and generating an abnormal index; environment interference and medium viscosity data are fused, and non-linear feature distribution and correction deviation representing the mechanical state are obtained through classification and filtering analysis; matching the correction deviation with a preset fault mode, determining a fault type, and generating a fault positioning coordinate in a three-dimensional space by using an optimization algorithm; and finally, performing fluid dynamic simulation through the high-fidelity virtual model to verify the coordinate stability, and outputting accurate early warning when conditions are met. Through cooperation of multi-source information fusion and an intelligent algorithm, the accuracy of early-stage internal fault diagnosis of the complex double-flow-channel valve is improved.

The embodiment of the invention provides a high-precision temperature field real-time monitoring method and device based on multi-sensor fusion, and the method and device achieve the effective collection of data through the innovative design of a sensor deployment system and the arrangement of an optimization and calibration mechanism. And a fusion processing mechanism is constructed, and reliable temperature estimation is established in combination with filtering analysis and weight calculation. And reconstruction optimization is introduced, and monitoring comprehensiveness is ensured through an interpolation algorithm and a compensation function. According to the method, the defects of the traditional technology in the aspects of sensor deployment, data fusion, temperature field reconstruction and the like are effectively overcome, and technical guarantee is provided for temperature field monitoring.

A method of operating an encoder or a decoder. The method includes receiving an analysis signal of an audio signal and a filtered analysis signal, combining the filtered signal with the analysis signal to generate a combined signal using a max function that provides at least one of a maximum positive value at each index i of the combined signal and a maximum negative value at each index i of the combined signal. The method includes identifying a wide peak and a narrow peak of the combined signal.

The application relates to the technical field of computing data processing, and discloses a multi-dimensional power transmission and distribution equipment operation data acquisition and edge computing processing system, which comprises a data compression module, the data compression module comprises an edge node configured at an equipment side, carries out filtering analysis and compression on collected data of power transmission and distribution equipment, and establishes a ring-shaped original buffer area used for storing uncompressed original data for a short time before the data is compressed. The application realizes the pre-simulation of the decompression data result of the data center at the edge node by decompressing the compression package in the data simulation area in a consistent logical manner with the data center, compares the original sample in the ring-shaped original buffer area, can pre-quantify the data distortion caused by filtering and compression in the edge node without affecting the front-end collection and uploading, and does not need to wait until the data is used in the data center to expose the problem.

The application discloses a decision knowledge base construction method and a data center intelligent regulation and control method and device. The decision knowledge base construction method comprises the following steps: obtaining an initial decision corresponding to a preset moment from an initial knowledge base constructed based on historical experience of a target scene and executing; obtaining key execution data corresponding to each collection period in an evaluation window after waiting for an evaluation delay; generating a candidate knowledge item set; performing serial filtering analysis on the item set according to objective indexes; obtaining an objective passing item set and an objective passing rate; when the objective passing rate is greater than a threshold value, performing subjective analysis on the objective passing item set to obtain a subjective passing item set; then performing timeliness analysis on the item set; storing a knowledge item meeting a condition to the initial knowledge base; and taking the updated initial knowledge base as a decision knowledge base. The method can obtain safe, reliable, stable and not outdated knowledge, realize effective reuse of the knowledge and effectively improve the intelligence and accurate regulation and control of the system.

A design method for a lumped narrowband IPD filter based on N+2 coupling theory is presented. This invention addresses the problems of existing methods for calculating transmission zero locations being difficult to apply to IPD processes and for quickly providing component values. The design method comprises: 1. Performing bandpass frequency transformation on the admittance matrix equation; 2. Setting the cross-coupling factor between resonators i and k in the coupled filter network as M. ik The cross-coupling factor M is characterized by a PI-type capacitor network. ik ; 3. When M ik When it is positive, it belongs to magnetic coupling, M ik When the value is negative, it indicates electrical coupling. Fourth, the designed narrowband IPD filter circuit undergoes evolution and simplification processing, including source impedance transformation, narrowband approximation of magnetic coupling, and negative capacitance narrowband approximation, to solve for the component values ​​of each element in the circuit structure. This invention starts from the topology of the coupled filter and utilizes various narrowband filter analysis methods to achieve the evolution and simplification of the circuit structure.

The application discloses a kind of integrated characterization method and system for ceramic microstructure, comprising: sampling and cutting of the ceramic sample to be measured;Metallographic grinding and surface polishing processing of the ceramic sample to be measured;Positioning mark of the ceramic sample to be measured;High-precision collection of surface three-dimensional topography height information of the ceramic sample to be measured region;Surface three-dimensional topography height information result filtering analysis;Surface three-dimensional topography height information display setting;Surface three-dimensional topography height information image recognition;Microstructure quantitative analysis based on image recognition result;Analysis result display obtains different microstructure quantitative analysis.The application is based on the collection of surface three-dimensional topography height information of the metallographic polishing surface of ceramic material, combined with filtering analysis and image recognition software and quantitative analysis algorithm, to obtain the integrated quantitative analysis of ceramic and ceramic matrix composite microstructure based on three-dimensional surface topography height information collection and image recognition analysis.

The application relates to the technical field of mechanical equipment fault diagnosis, and discloses a fault diagnosis method and system of an automatic tension control valve of a scraper conveyor; the method comprises the following steps: collecting pressure and flow data of a main flow channel and an auxiliary flow channel through a sensor array, extracting frequency domain features to obtain a standardized frequency spectrum; detecting parameter coupling abnormalities and generating abnormal indexes based on a frequency spectrum cross-correlation coefficient; fusing environmental interference and medium viscosity data, obtaining nonlinear feature distribution and correction deviation representing mechanical states through classification and filtering analysis; matching the correction deviation with a preset fault mode, determining a fault type, and generating fault positioning coordinates in a three-dimensional space by using an optimization algorithm; finally, verifying the stability of the coordinates through fluid dynamics simulation of a high-fidelity virtual model, and outputting a precise early warning when the conditions are met; the application improves the accuracy of early internal fault diagnosis of a complex double-flow valve through multi-source information fusion and intelligent algorithm cooperation.

The invention provides a multi-source information fusion-based key point extraction method for medical and invasive resources, and belongs to the technical field of key point extraction of medical and invasive resources. On the basis of multi-source heterogeneous data acquired by multiple parties, an original medical and invasive resource database is constructed, and medical and invasive resource statements are sorted according to an execution sequence of database operation statements to support efficient sorting and rapid screening analysis of data in the database by a user, so that the efficiency of subsequent data processing and information extraction is improved, and the user experience is improved. Core information is subjected to cross validation and complementary enhancement, structured integration of medical and invasive resources is realized, general rules, consensus cognition and core challenges in the field can be summarized on the basis of a constructed medical and invasive resource fusion model, and advantages and disadvantages of the medical and invasive resources in a database are deeply mined, so that a medical and invasive resource fusion model is established. The accuracy, adaptability and practicability of key point extraction of the medical and invasive resources under the background of multi-source information fusion are remarkably improved.

The invention discloses a decision knowledge base construction method and a data center intelligent regulation and control method and device. The decision knowledge base construction method comprises the steps of obtaining an initial decision corresponding to a preset moment from an initial knowledge base constructed based on historical experience of a target scene, executing the initial decision, after waiting for evaluation delay, obtaining key execution data corresponding to each collection period in an evaluation window, generating a candidate knowledge item set, performing serial filtering analysis of objective indexes on the item set to obtain an objective passing item set and an objective passing rate, performing subjective analysis on the objective passing item set to obtain a subjective passing item set when the objective passing rate is greater than a threshold value, then performing timeliness analysis on the item set, storing knowledge items meeting conditions into an initial knowledge base, and obtaining an objective passing item set; and taking the updated initial knowledge base as a decision knowledge base. According to the method, safe, reliable, stable and timely knowledge can be obtained, effective reuse of the knowledge is realized, and intelligent and accurate regulation and control of the system are effectively improved.

This application provides a method and apparatus for detecting unknown cross-site scripting (XSS) based on test script generation. It innovatively constructs a Markov chain-driven script generation mechanism and achieves intelligent construction of test scripts through atomic element sequence analysis and random walk strategies. A filtering analysis mechanism based on DOM tree difference is designed, combining multi-dimensional tag extraction and node localization to establish a filtering rule recognition strategy. A matrix iterative optimization mechanism is introduced, achieving adaptive optimization of the test script through dynamic updating and convergence calculation of the state transition matrix. This method effectively addresses the shortcomings of traditional techniques in script generation, filtering analysis, and optimization adjustment, significantly improving the detection effect of unknown XSS.

The present application relates to the technical field of mutual inductor test, and provides a mutual inductor test abnormal data automatic filtering analysis method and system, which comprises the following steps: acquiring magnetic field data, electric field data and thermal field data, respectively performing feature extraction and weighted fusion to obtain a multi-physical field fusion feature vector; constructing an electromagnetic induction chain type propagation graph, calculating the weight of the edges in the graph, constructing a magnetic flux conservation constraint graph convolutional neural network, learning the propagation and evolution mode of the mutual inductor test abnormality, and obtaining a coupled abnormal feature vector; classifying the coupled abnormal feature vector, identifying normal data, single physical field abnormal data and multi-physical field coupled abnormal data, determining the corresponding data as abnormal data and filtering; and performing physical mechanism analysis on the filtered abnormal data to obtain an abnormality detection report. The present application realizes high-precision automatic identification, filtering analysis and physical mechanism tracing diagnosis of mutual inductor test abnormal data.

The invention provides a flowmeter rapid in-situ calibration processing method and system based on a weighing method and a medium. A data acquisition module is used for receiving a flow detection signal sent by a flowmeter sensor and a weight detection signal sent by a weight sensor, and forwarding the signals to a filtering analysis calculation module; the weight detection signal and the flow detection signal are subjected to Kalman filtering processing through a filtering analysis module, and an accurate predicted flow detection signal and an accurate predicted weight detection signal are obtained; and respectively carrying out preorder differential processing on the obtained predicted flow detection signal and the predicted weight detection signal by using an in-situ calibration analysis module, carrying out iterative fitting processing according to flow differential data and weight differential data obtained by the preorder differential processing until a first convergence condition is met, and then carrying out iterative fitting processing according to the flow differential data and the weight differential data obtained by the preorder differential processing. And the final iteration fitting processing result is used as the target in-situ calibration data, so that the obtained target in-situ calibration data is more accurate, and the in-situ calibration of the flowmeter sensor by using the target in-situ calibration data is more accurate.

The present disclosure is directed to various methods and systems for monitoring real time efficiency of filters as well as testing the filters with tests that are similar to real world use of the filters to update technical specifications of the filters. The methods and systems monitoring the real time efficiency of the filters may utilize one or more particle counters to monitor their efficiency in real time. The data collected by the particle counters may be utilized to determine whether respective ones of the filters need to be replaced or regenerated by a backwash regeneration process. The updated technical specifications from the real world testing of the filters may be utilized in determining whether respective ones of the filters need to be replaced or regenerated. These real world testing and real time monitoring reduces the likelihood that workpieces are exposed to contaminant particles reducing scrap costs.

A system and method for global and local category-based item location recognition filtering is provided. A plurality of candidate items associated with a current location within a retail environment are filtered using a global level filter that identifies and removes items associated with an item category that is not a confirmed category for the recognized location. A local level filter analyzes item count values for the remaining candidate items to identify and remove low-count items. If any single item count is below a threshold, the low count items are removed. If all the candidate items are low count items at the item level, a count values for all candidate items in the same category are aggregated into a category-level item count value which is used to identify low count items. The low-count items are filtered out to eliminate false positives for improved accuracy and reliability of the item-to-location mapping results.

The present disclosure is directed to various methods and systems for monitoring real time efficiency of filters as well as testing the filters with tests that are similar to real world use of the filters to update technical specifications of the filters. The methods and systems monitoring the real time efficiency of the filters may utilize one or more particle counters to monitor their efficiency in real time. The data collected by the particle counters may be utilized to determine whether respective ones of the filters need to be replaced or regenerated by a backwash regeneration process. The updated technical specifications from the real world testing of the filters may be utilized in determining whether respective ones of the filters need to be replaced or regenerated. These real world testing and real time monitoring reduces the likelihood that workpieces are exposed to contaminant particles reducing scrap costs.

The application relates to the technical field of vibration fault monitoring, and discloses a vibration monitoring signal filtering and fault monitoring method and system, which comprises the following steps: constructing a filtering analysis graph and matching a target analysis line according to an initially acquired vibration monitoring signal; extracting a vibration feature vector corresponding to each vibration sensor and constructing a sensor network; screening a target sensor in the sensor network according to the target analysis line, analyzing a vibration fault transmission path, and screening out a fault sensor and a corresponding fault vibration signal; converting a time-domain vibration signal into an angular-domain order ratio signal based on a real-time rotating speed signal, filtering and reconstructing the fault vibration signal, and obtaining an updated vibration signal; screening out a first sensor associated with the fault sensor in the vibration fault transmission path, analyzing the propagation and inhibition effect of the first sensor on the fault, and obtaining a fault analysis result; and the application can enhance the accuracy of fault positioning, quantify the propagation range and influence degree of the fault, and improve the fault monitoring performance.

A web browser quick-response (QR) code filter (QR code filter) intercepts and scans Hypertext Transfer Protocol (HTTP) responses corresponding to web pages that are intended for a web browser. The QR code filter scans the HTTP responses for QR codes, and for each detected QR code, decodes the QR code to identify a uniform resource locator (URL) for the web page to which the QR code redirects. A rendering engine renders the web page corresponding to the URL in an isolated environment. The QR code filter then analyzes the rendering and additional characteristics of the QR code to determine whether the QR code is malicious and, for malicious QR codes, determines remediation actions to perform.

The purpose of the present application is to provide a method, device, medium and program product for welding data analysis, the method comprising: determining a welding data analysis task, wherein the welding data analysis task comprises a short circuit transition analysis or a data filtering analysis; determining analysis parameter information matched with the welding data analysis task according to the welding data analysis task and welding data; and determining analysis result information corresponding to the welding data analysis task based on the analysis parameter information and the welding data. According to the present application, after determining the welding data analysis task selected by the user, the optimal analysis parameter used in the welding data analysis task can be automatically calculated, thereby avoiding the cumbersome process of manual parameter adjustment, improving the analysis efficiency and analysis result accuracy, reducing the analysis threshold of the user for welding data analysis, and optimizing the user experience.

This invention relates to the field of image processing technology and discloses an underwater image enhancement method based on the Retinex algorithm. This method first acquires the original underwater image and then extracts multi-dimensional feature information through a preprocessing module (including histogram analysis, filtering analysis, etc.). It supports multi-scale processing, detecting the target processing scale when processing at multiple scales simultaneously, and calculating feature confidence to select the optimal features. The Retinex algorithm processing unit adopts a multi-branch fusion structure (color correction, contrast adjustment, and detail restoration branches), generating coefficients and fusing them to achieve enhancement. It can also dynamically adjust weights and parameters based on coefficient differences. The method comprehensively extracts features, adaptively processes at multiple scales, balances enhancement effects, improves underwater image quality, and is suitable for underwater image optimization.

The invention relates to the technical field of distributed databases and query optimization, and discloses a data routing method, device and equipment based on metadata indexing.The method comprises the steps that query predicate information of a data query request is analyzed; reading metadata index information associated with the data fragments when the query does not contain the fragment key; executing multi-stage filtering analysis based on the metadata index and generating a matching analysis result; according to a matching analysis result, data fragments which do not contain the target data are removed to form a target fragment list; selecting a routing strategy in combination with system operation state information and data distribution characteristics; and generating a query execution plan according to the routing strategy, and carrying out aggregation processing on query results returned by the target data fragments to obtain a final query result. According to the method, the query range is narrowed through multi-stage filtering, the routing strategy is selected based on the system state, invalid fragment access is reduced, resource overhead is reduced, and query performance is improved.

The invention relates to the technical field of vibration fault monitoring, and discloses a vibration monitoring signal filtering and fault monitoring method and system, and the method comprises the steps: constructing a filtering analysis graph according to a pre-obtained initial vibration monitoring signal, and carrying out the matching of a target analysis line; extracting a vibration feature vector corresponding to each vibration sensor, and constructing a sensor network; screening a target sensor in the sensor network according to the target analysis line, analyzing a vibration fault transmission path, and screening out a fault sensor and a corresponding fault vibration signal; converting the time domain vibration signal into an angular domain order ratio signal based on the real-time rotating speed signal, and filtering and reconstructing the fault vibration signal to obtain an updated vibration signal; screening out a first sensor associated with the fault sensor in the vibration fault transmission path, and analyzing the propagation and suppression effect of the first sensor on the fault to obtain a fault analysis result; the fault positioning accuracy can be enhanced, the propagation range and the influence degree of the fault can be quantified, and the fault monitoring performance can be improved.

The invention discloses a financial product intelligent recommendation-oriented multi-dimensional label configuration method and system, and the method comprises the steps: collecting user historical behavior data and financial product description text data, and generating a multi-source data set containing user interaction records and product text features; performing collaborative filtering analysis on user interaction records in the multi-source data set, and extracting a user implicit preference tag set; performing natural language processing on the financial product description text in the multi-source data set, and extracting a product explicit semantic tag set; performing multi-dimensional association mapping on the user implicit preference tag set and the product explicit semantic tag set, and constructing a user-product tag matching matrix; and generating a personalized recommendation list based on the user-product label matching matrix. According to the embodiment of the invention, refined matching of user demands and product features can be realized, and the accuracy and individuation level of financial product recommendation are improved.

The invention provides a filter assembly for a continuous dust monitor, the filter assembly comprising: a filter body comprising an air outlet, the air outlet configured to removably couple with a tubular element of a tapered element oscillating microbalance (TEOM) in the continuous dust monitor; and a filter element mounted on the filter body, the filter element comprising a porous silicon-free filter membrane for capturing dust present in air flowing into the filter assembly, wherein the filter element is detachable from the filter body to allow direct-on-filter analysis of dust captured on the porous silicon-free filter membrane.

The invention provides a reflective infrared geminate transistor for a sweeper module and an anti-interference method of the reflective infrared geminate transistor, and relates to the technical field of anti-interference. The sweeper module is started, preset infrared light is generated, a directional light beam is obtained, and the directional light beam is emitted; after a receiving end receives the directional light beam emission data, performing double filtering analysis on the directional light beam emission data, performing infrared light gathering analysis according to the double filtering analysis data, and further gathering infrared light to a receiving element to obtain infrared light receiving information; infrared light interference analysis is carried out according to the infrared light receiving information, anti-interference capability analysis is carried out according to infrared light interference analysis data, and directional light beam updating setting is carried out according to the anti-interference capability analysis data until qualified anti-interference data is obtained. According to the invention, infrared light directional emission, dual filtering purification and anti-interference capability quantitative evaluation and dynamic adjustment can be realized.