52 results about "Automatic filtering" patented technology

The invention relates to the technical field of mutual inductor tests, and provides a mutual inductor test abnormal data automatic filtering analysis method and system, and the method comprises the steps: obtaining magnetic field data, electric field data and thermal field data, respectively carrying out the feature extraction and weighted fusion, and obtaining a multi-physical field fusion feature vector; constructing an electromagnetic induction chain type propagation graph, calculating the weight of an edge in the graph, constructing a magnetic flux conservation constraint graph convolutional neural network, learning propagation and evolution modes of transformer test abnormity, and obtaining a coupling abnormity feature vector; the coupling anomaly feature vectors are classified, normal data, single physical field abnormal data and multi-physical field coupling abnormal data are recognized, and corresponding data are judged as abnormal data and filtered; and carrying out physical mechanism analysis on the filtered abnormal data to obtain an abnormal detection report. According to the invention, high-precision automatic identification, filtering analysis and physical mechanism traceability diagnosis of transformer test abnormal data are realized.

The invention discloses a waterproof curtain construction method applied to an upper-soft lower-hard stratum. Comprising the following steps that firstly, a stratum interface is sequentially divided into a soft soil layer, a soft and hard boundary layer and a hard rock layer from top to bottom; a milling cutter module is adopted for operation in the soft soil layer; operation is carried out after a high-frequency vibration mode is carried out on the cutting and milling cutter module on the soft and hard boundary layer; the cutting and milling cutter module is switched to the hobbing cutter module for operation in the hard rock stratum; a'soft soil-junction-hard rock 'three-layer dynamic matching system is established, and single-drilling-tool multi-depth continuous operation is achieved; the drilling efficiency of the soft and hard boundary layer is improved in a high-frequency vibration mode; wherein a primary risk automatic filtering mechanism reduces most of invalid shutdown.

The application discloses a kind of pulse Doppler radar weather cloud clutter automatic filtering methods, belong to radar data processing technical field.The method utilizes the statistical characteristics of weather cloud clutter on radar echo spectrum diagram, and the spatial position and motion characteristics of radar track in monitoring area, realizes the automatic identification and effective elimination of weather cloud clutter, reduces false track, and improves the detection performance of radar to "low, slow and small" target.

The application discloses a kind of multi-beam outlier automatic filtering methods combined with uncertainty and density clustering algorithm, belong to multi-beam sounding data processing technical field.The application constructs grid node absorbable water depth point selection model according to CUBE filtering algorithm, and gridding is carried out to sounding data;The one-dimensional clustering of node absorbable water depth value is carried out using DBSCAN clustering algorithm, a plurality of water depth hypotheses are constructed according to the difference between water depth values, then the water depth hypothesis and uncertainty of node are updated using Kalman filter;Finally, the water depth hypothesis with higher reliability is selected from a plurality of water depth hypotheses as the real water depth value of node.The application can provide a kind of multi-beam sounding data automatic cleaning algorithm selection for domestic multi-beam sounding data processing software.

The application discloses a network resilience prediction method, system and device based on digital twinning, and relates to the technical field of ecological monitoring and network resilience modeling. The network resilience prediction method, system and device based on digital twinning comprise the following steps: S1, collecting multiple types of ecological monitoring data through an ecological monitoring device, and performing standardized preprocessing on the ecological monitoring data; S2, comprehensively evaluating the modeling difficulty of each ecological data, and realizing automatic filtering and hierarchical processing of the data quality; S3, performing state synchronization evaluation on the data to be modeled, and dynamically updating the running state of the corresponding ecological entity in the digital twinning based on the state evaluation result; and S4, identifying key fragile nodes and risk paths in each ecological entity, and outputting corresponding ecological risk grades and control suggestions. The problems that in the prior art, only a small amount of observation data is used for static threshold risk judgment, and the problems that the dynamic evolution characteristics and the multi-source heterogeneity existing in the ecological system cannot be effectively coped with are solved.

Technological advancements are disclosed that utilize inertial sensor data for multiple classes to select a combination of filters to extract information though features to train a machine learning core decision tree. A determination is made whether the data for a class includes a frequency peak or dominating frequency that contains significant information about the class. In response to the data for the class including a frequency peak, a peak-based frequency range is determined. An entropy value is calculated for multiple frequency ranges in the data for the class. An entropy-based frequency range is selected from the multiple frequency ranges having a minimum entropy value. A frequency of interest is selected from the peak-based frequency range and the entropy-based frequency range for the class. A combination of filters is selected for each frequency of interest for each class and a decision tree is trained based on selected filter combination.

The invention relates to the technical field of transformers, in particular to an energy storage transformer with an automatic filtering function, which comprises a data acquisition module for acquiring input current and voltage data of a power grid and energy storage equipment and operation data of an energy storage system and a filtering device in real time; the filtering device analysis module is used for determining whether the health state of the filtering device is abnormal or not based on the filtering device comprehensive index; the harmonic component analysis module is used for determining whether the harmonic component is qualified or not based on the harmonic characteristic characterization parameter and determining and adjusting the filtering parameter according to the difference value; the harmonic deterioration risk analysis module is used for determining whether the harmonic deterioration risk reaches the standard or not based on the harmonic change characterization coefficient and determining and adjusting the response frequency of the filter according to the relative difference; and the filtering efficiency analysis module is used for determining whether the working efficiency of the filtering device reaches the standard or not based on the filtering efficiency loss value and determining and optimizing the capacitance value or the inductance temperature according to the specific value. The operation efficiency of the energy storage transformer is improved.

The utility model discloses an automatic filtering and cleaning device of a semiconductor diaphragm pump. The automatic filtering and cleaning device comprises a shell assembly and a filtering assembly. The filtering assembly is arranged on a mounting ring in the shell assembly, and the filtering assembly is sequentially provided with a first filtering assembly and a second filtering assembly from top to bottom; the first filter assembly is provided with a first filter screen, a collecting tank, a cleaning device, a compression device and a transmission device. A transmission device, a compression device and a cleaning device are arranged in a first filter assembly, the transmission device can drive the cleaning device connected with the transmission device to rotate together, particle impurities at a first filter screen are effectively cleaned, in addition, a collecting groove is formed in the lower end of the first filter screen, and the particle impurities can be effectively collected; therefore, the filtering efficiency of the filter screen is effectively improved, and efficient filtering and automatic cleaning functions in the liquid conveying process are achieved.

The application discloses a fan model identification and authentication method based on a starting transient multi-channel current fingerprint in the field of motor and fan equipment state perception and identity authentication, which comprises the following steps: obtaining current signal data of a fan starting process, filtering invalid sections and positioning effective sections to obtain an effective section starting point, and intercepting or retaining the current signal data after the effective section starting point to obtain effective current signal data; detecting a starting point and taking the detected starting point as a timing alignment reference to perform timing alignment; synchronously intercepting a fixed-length starting window, extracting waveform features and envelope features in the starting window, and constructing a fingerprint vector; establishing a model library; identifying and making an authentication decision, and outputting an authentication decision result of passing authentication, rejection or unknown according to an authentication threshold. The application automatically filters invalid data, detects a starting time and aligns, constructs a fingerprint vector with distinguishability, realizes model identification, and outputs through threshold decision.

Embodiments of the fluid filtration system constructed according to the principles of this disclosure can be used to automatically adjust a disposable filter for efficient use. For example, in an embodiment, the fluid filtration system may include a filter conditioning procedure comprising at least one of a filter filling module, a filter flushing module, and a filter pressurization module.

The utility model discloses a rotating disc type automatic filtering device. The rotating disc type automatic filtering device comprises a base, a fixing assembly and an automatic extrusion assembly, the fixing assembly comprises a rotating rod and a first rotating disc, a second rotating disc and a third rotating disc which are sequentially arranged from bottom to top, the first end of the rotating rod is rotationally connected with the base, and the second end of the rotating rod sequentially penetrates through the first rotating disc and the second rotating disc and is connected with the third rotating disc; a plurality of placing grooves are formed in the first turntable, a plurality of mounting holes are correspondingly formed in the second turntable, and fixing holes are correspondingly formed in the third turntable; the first end of the automatic extrusion assembly is arranged on the base, and the second end of the automatic extrusion assembly is located above the third rotary disc. According to the utility model, the detection efficiency can be improved, the problems that the solution in the chromatographic bottle overflows, the needle cylinder type filter membrane filter is damaged and the liquid is sprayed out from the interface to hurt an operator due to manual extrusion on the injector are avoided, and the labor intensity of the operator is also reduced.

1. Name of the product in this design: Graphical User Interface for Resume Screening in Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Uses of the graphical user interface: for displaying the interface for automatic resume screening using AI and for human-computer interaction. 6. Description of the graphical user interface changes: Based on the main view, click the "Next" button in the "Set Automatic Filtering" box in the main view to jump to interface change state diagram 1; in interface change state diagram 1, after completing the "Rule Filtering" settings, click the "Save to Current Position" button to jump to interface change state diagram 2; click "One-Click Filtering" in interface change state diagram 2 to jump to interface change state diagram 3; interface change state diagram 3 is the interface during the AI ​​automatic filtering process. When the automatic filtering is completed, jump to interface change state diagram 4; in interface change state diagram 4, select the resumes that have passed the AI ​​selection to jump to interface change state diagram 5. The main view reference diagram is the reference diagram for the main view, and the interface change state reference diagram 1-5 is the reference diagram for the interface change state diagram 1-5. The “XX” in each view represents text and / or numbers.

An apparatus comprises at least one processing device that includes a processor coupled to a memory. The at least one processing device is configured to receive a command providing a configuration domain identifier specifying a corresponding one of a plurality of configuration domains of a storage system, to establish a configuration domain filtering instance in the storage system responsive to the received command, and to automatically filter discovery information for delivery from the storage system to at least one host in accordance with the established configuration domain filtering instance. For example, establishing a configuration domain filtering instance in the storage system responsive to the received command illustratively comprises activating a configuration domain filtering feature of the storage system, utilizing the provided at least one configuration domain identifier, for subsequent provision of filtered discovery information from a target of the storage system to an initiator of a given host.

The invention discloses an intelligent processing system and method for batch uploading of pictures. The intelligent processing system comprises a client module and a server module, the client module is used for providing a graphical user interface, receiving user input and executing local processing of pictures; and the server module is used for receiving and storing the pictures and related data uploaded from the client. According to the method, the defects in the prior art are effectively overcome by introducing an automatic processing flow of intelligent identification and strategy driving. The system performs local intelligent analysis before picture uploading, and can automatically filter low-quality, repeated or non-compliant pictures, so that uploading and storage of invalid data are greatly reduced, and the post-operation cost of a user and the redundant load of a server are reduced. On the basis of the recognized picture content, the system can automatically execute differentiated processing strategies, such as picture optimization, classification, specific label or watermark addition and the like, so that personalized and intelligent processing is realized, and the picture management efficiency and precision are improved.

The invention relates to the field of air transportation, in particular to a reasonable flight combination scheme filter based on a travel-distance polynomial regression relationship, which comprises the following steps: S1, acquiring historical sales data from an open market; step S2, cleaning and preprocessing the collected data; s3, utilizing a polynomial regression method to fit the relationship between the total flight travel and the linear distance; s4, in the route combination process of the virtual intermodal transport, calculating the linear distance between a given departure place and a given destination; s5, the flight combination scheme with the total journey exceeding the flight total journey range is regarded as unreasonable and filtered out. The method is completely based on objective market data, and limitation of subjective judgment and artificial experience is avoided; the automatic filtering and optimization of the flight combination scheme are realized, and the intelligent level of the virtual combined transport system is improved; the method does not depend on specific airlines or airlines, and has high universality and expandability.

The application provides a ground point automatic filtering method for a laser radar point cloud, relates to the technical field of point cloud data processing and terrain digital modeling, and comprises the following steps: carrying out voxelization processing on the point cloud, constructing a base centroid point layer, generating a near-ground digital elevation model, extracting and optimizing a non-ground map patch, constructing a semantic centroid point layer, and establishing a KD-tree index to extract a ground point. Through the combination of maximum value filtering and map patch elevation feature judgment, accurate identification and error correction of the non-ground map patch are realized, a centroid point layer is further constructed, a bidirectional spatial index structure is used to mark the ground point, and the filtering precision and robustness are improved. The method is suitable for automatic ground point extraction under complex ground surface conditions, can support subsequent building instance segmentation, height measurement and structure analysis, and has wide engineering application value.

The utility model discloses an automatic rice husk filtering and vibrating screening device in the technical field of white spirit brewing, the automatic rice husk filtering and vibrating screening device comprises a supporting frame and a box body, the inner wall of the supporting frame is rotatably connected with four symmetrically-arranged swing shafts, the swing shafts are rotatably connected with the periphery of the box body respectively, the upper surface of the box body is provided with a filter screen, the filter screen is obliquely arranged, and the filter screen is arranged on the lower surface of the box body. And the box body is connected with a driver for driving the box body to horizontally move back and forth. According to the scheme, the device improves the chaff screening effect, and is simple, convenient to use and low in noise.

The invention discloses a gray scale upgrading method and device of a resource tuner. After a gray scale upgrading request is received, the adaptability of a new version resource tuner is verified, and if the adaptation is passed, a new version front-end operation and maintenance interface, a CRD version conversion callback function, a new version CRD and the new version resource tuner are deployed in sequence to realize coexistence in a new and old version component cluster; when a gray level user initiates an operation and maintenance request through a new version front end, a callback function completes CR bidirectional conversion of a new version and an old version, then through a version label filtering mechanism, a new version resource tuner processes a corresponding request, an old version resource tuner performs automatic filtering, and finally gray level upgrading is achieved. According to the technical scheme provided by the invention, resource utilization rate optimization and service continuity guarantee are considered through automatic scheduling and staged verification by a method of fusing a declarative tuning mechanism and a gray strategy.

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 utility model provides automatic filtering equipment for a waterway, which relates to the technical field of filtering equipment, and comprises an upper connecting valve body, a lower filtering cylinder body and an inner rotating bracket, the lower part of the upper connecting valve body is in threaded fit connection with the lower filtering cylinder body, and the lower part of the inner rotating bracket is provided with lower flow guide fan blades in an annular array manner; middle scraping strips are arranged on the upper portion of the inner rotating support in an annular array mode, outer supporting elastic pieces are fixedly arranged on the backs of the middle scraping strips, the middle scraping strips are slidably connected with the inner rotating support, and the tail ends of the outer supporting elastic pieces are fixedly connected with the inner rotating support. The middle scraping strip effectively cleans impurities, particulate matters and other substances attached to the outside of the inner filter element, so that excessive accumulation of the impurities on the surface of the inner filter element is effectively prevented, the blocking risk of the inner filter element is reduced, the effective service life of the inner filter element is prolonged, and the problem that the filter element is blocked by the impurities and the service life of the filter element is prolonged is solved. The filter element needs to be frequently replaced or cleaned for maintenance work.

The utility model relates to the technical field of emulsion filtering, in particular to an automatic filtering device for conveying emulsion, which is used for filtering the emulsion through the filtering device, finishing a continuous filtering process in cooperation with an emulsion conveying pipeline, and outputting impurities filtered out by the filtering device through a blowdown device. The filtering device is cleaned through the cleaning device, the filtering effect of the filtering device is kept through the auxiliary device, and the practicability of the device is improved; comprising a filtering device, a blowdown device, a cleaning device and an auxiliary device, the blowdown device is installed on the filtering device, the cleaning device is installed on the filtering device, and the auxiliary device is installed on the filtering device.

An automatic HVAC filter change system is disclosed herein. The automatic HVAC filter change system changes filters automatically by way of a design configured to seamlessly move and change filters while on an automated schedule. The automatic HVAC filter change system provides notification and reminders for when it is done.

1.The name of the design product: Adaptive AUTOSAR system graphical user interface for electronic device. 2.The use of the design product: an electronic device. 3.The design points of the design product: the graphical user interface content in the display screen. 4.The picture or photo that best shows the design points: interface change state diagram 2. 5.Other views of the design have no design points, and the rear view, left view, right view, top view, and bottom view are omitted. 6.The use of the graphical user interface: configuration and attribute information display for automotive open system architecture. 7.The change state of the graphical user interface: the main view is a navigation view, the navigation interface is composed of three parts: a top title bar, a middle module description, and a bottom navigation bar, the "Service Instance" icon button in the main view is clicked to enter interface change state diagram 1; interface change state diagram 1 is a detailed editing page of the module, in which the upper title bar displays the module editor name, and the left navigation bar displays the editor node, the right top search bar in interface change state diagram 1 is clicked to input search data, then the left navigation bar editor is automatically filtered, after the node is double-clicked by the mouse, interface change state diagram 2 pops up on the right; interface change state diagram 2 is a Table editor, users can edit or modify various attributes of the car based on the interface, the editor navigation bar in interface change state diagram 2 is clicked to enter interface change state diagram 3; interface change state diagram 3 is an ARPackage selection box, users can select to save the edited information to the corresponding arxml file based on the interface. 8.Other circumstances that need to be explained: "XXX" represents the text content in interface change state diagram 1 to interface change state diagram 2.

The application discloses a high-quality industrial abnormal data synthesis method, comprising the following steps: S1, adopting a mixed abnormal decoupling module, carrying out multi-round dialogue through a visual language model, decoupling the coupled abnormal categories in the abnormal data set, and converting the coupled abnormal categories into more fine-grained categories and attributes; S2, adopting a high-quality abnormal mask generation module, generating abnormal masks that are aligned with various attributes, positionally accurate and normally shaped through an abnormal mask generator, a guide area Printer and an abnormal mask locator; S3, adopting an automatic abnormal data set generation module, synthesizing and screening high-quality abnormal image and mask pairs through a Textual Inversion method and an automatic filter; the method realizes the synthesis of high-quality abnormal images and mask pairs through the mixed abnormal decoupling module, the high-quality abnormal mask generation module and the automatic abnormal data set generation module.

An object of a system according to an embodiment is to detect and filter inappropriate utterances in response to customers in real time.SOLUTION: A system according to an embodiment includes an edge device, an NLP analysis unit, a cache miss detection unit, and a filtering unit. The edge device analyzes the statement of the customer in detail. The NLP analysis unit analyzes the speech of the customer in detail. The speech detection unit detects an inappropriate speech from the speech analyzed by the NLP analysis unit. The filtering unit automatically filters the inappropriate speech detected by the speech detection unit.SELECTED DRAWING: Figure 1

This invention discloses a fast people counting method and terminal. The method includes the following steps: S1: Constructing a lightweight people counting model; S2: Training the lightweight people counting model and transferring the model to an edge device; S3: Inputting an image of the people to be identified into the lightweight people counting model, and outputting a density prediction map through inference by the lightweight people counting model; S4: Converting the density prediction map into a density heatmap, and outputting the density heatmap after rendering; simultaneously, using a nearest-neighbor detection window automatic filtering algorithm on the density prediction map to obtain head detection boxes, and outputting the head detection boxes. The above technical solution can recognize human images without consuming too much computing power, and in terms of human image processing, it can output two visualization results, which can meet the post-processing needs of subsequent engineering applications.

The invention relates to the field of artificial intelligence, can be applied to business system platforms of finance, medical health and the like, and discloses a video scene understanding processing method, device, equipment and medium, and the method comprises the steps: receiving a to-be-processed original video stream, and carrying out the preprocessing; key spatio-temporal feature extraction and interactive modeling are carried out on the preprocessed video data through a dynamic sparse coupling mechanism, and interactive weighted features are obtained; performing target detection processing according to the interactive weighted features, identifying the position of the specified object and outputting a coordinate block diagram; and performing action recognition on the video frame sequence with the coordinate block diagram, obtaining a motion mode and a behavior mode of a specified object, then performing context analysis in combination with the interaction weighting features, and generating a corresponding video scene understanding result. Through feature extraction of a dynamic sparse coupling mechanism, redundant information can be automatically filtered out and then subsequent detection and action recognition can be performed, so that the feature extraction efficiency is improved, the calculation complexity is reduced, and efficient and reliable video scene understanding is realized.

The invention relates to an automatic filtering device and a use method thereof, and belongs to the technical field of filtering equipment. A bottom plate is provided with a clamping seat; the two overturning supports are fixedly installed on the two sides of the bottom plate. The filtering assembly is mounted on the clamping seat; the overturning fixing shaft is fixed on the overturning bracket; the overturning frame is rotationally installed on the overturning fixing shaft, a plurality of fixing grooves are formed in the overturning frame, the overturning frame is provided with placing plates with adjustable positions, the placing plates are clamped in the fixing grooves, and the placing plates are used for placing volumetric flasks; the supporting frames are distributed on the overturning fixing shaft at intervals. The overturning assembly is fixedly installed on the bottom plate and used for driving the overturning frame to rotate around the central axis of the overturning fixing shaft. The flow guiding assembly is installed on the supporting frame and used for guiding liquid to flow into the filtering assembly. The device is used for solving the technical problem that in the prior art, when multiple samples are filtered, a series-connected suction filtration system still needs tedious operation steps when a traditional laboratory is used for filtering.