27 results about "Automatic filtering" patented technology

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 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.

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.

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 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.

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.

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

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 discloses an automatic slurry filtering and washing instrument for a laboratory. The automatic slurry filtering and washing instrument comprises a controller, a vacuum system, a hot water supply system, a filtering and washing system and a liquid collecting system, wherein the vacuum system comprises a vacuum pump and a vacuum distribution system; the hot water supply system comprises a temperature control water heater used for heating washing water to a preset temperature and keeping the temperature constant. The filtering and washing system comprises N filtering and washing channels which are arranged in parallel; each channel comprises a funnel, a cleaning pipe, a control switch valve, a suction filtration pipe and a filtering state detection device; the controller judges whether filtering is completed or not according to a feedback signal of the filtering state detection device and automatically controls the control switch valve of the channel to be opened after it is judged that filtering is completed, and automatic washing is achieved. The system has the advantages of high automation degree, multi-channel parallel processing, good safety, strong pertinence, good result consistency and the like, the labor intensity of personnel can be greatly reduced, and the analysis efficiency and the result accuracy are improved.

The invention discloses a robust disaster detection method based on similarity and semantic information, and the method employs the following innovative scheme: introducing an inter-frame similarity calculation mechanism based on a perceptual hash algorithm (PHash), carrying out the real-time comparison of continuous frames in a monitoring video, and effectively perceiving whether a scene changes remarkably or not. The module can automatically filter static or redundant frames and screen out key frames possibly containing events, the logic process of a monitoring system in actual operation is met, the calculation load of follow-up processing is remarkably reduced, and the overall processing efficiency of the system is improved. By means of the pre-trained CLIP model, high-level semantic analysis of the monitored image is achieved, and preliminary anomaly judgment can be carried out on the image content from the perspective of vision-language combined representation. The module utilizes the strong cross-modal alignment capability of the CLIP to carry out robust evaluation on whether an image belongs to a normal scene or not, so that the adaptability of a system to an unknown scene and an unseen sample is effectively improved, and the overall recognition robustness is enhanced.

The invention discloses an automatic filtering workstation which comprises a base, a filter head loading system arranged on the base and used for loading a needle type filter head, and a three-rail system arranged on the base, the three-rail system comprises three rails, three transmission mechanisms and three sliding tables; the three rails are distributed in an upper-middle-lower mode, each rail corresponds to one transmission mechanism and one sliding table, and the sliding tables move back and forth on the guide rails through the transmission mechanisms. The three sliding tables are respectively a sample injection pipe sliding table, a filter head clamping sliding table and a filter head sliding table, the sample injection pipe sliding table is used for connecting a sample injection pipe, the filter head sliding table is used for placing a filter head loaded by the three-jaw system, and the filter head clamping sliding table is used for clamping the filter head. The automatic filtering workstation is suitable for loading, removing and effect sensing of the needle type filter head in detection in all inspection and detection industries and distribution and transfer of a solution, solves the problems of low manual filtering efficiency and difficulty in in-situ real-time detection in the prior art, and is beneficial to realizing inspection automation.

The invention provides a microcosmic coding code graph continuous acquisition method and device, equipment and a storage medium. The method comprises the following steps: acquiring an image sequence acquired in real time; inputting each frame of real-time image in the image sequence into a code image classification model for identification and classification to obtain an image classification result of each frame of real-time image; and screening and storing an image classification result as a real-time image of the microscopic coding code graph. According to the method and the device, the noise image is automatically filtered in real time in a continuous collection scene, the efficiency and the automation level of microscopic code collection are remarkably improved, and the microscopic code image is automatically and accurately recognized and stored in real time in the continuous collection process.

The utility model relates to the technical field of liquid chromatography, and discloses an automatic filtering device for high performance liquid chromatography samples, which comprises a liquid suction component, a liquid outlet component and a liquid outlet component, the liquid suction component comprises a horizontal liquid suction plate, the horizontal liquid suction plate is provided with at least one vertical liquid suction cylinder used for being sleeved with a disposable suction head, and the vertical liquid suction cylinders are connected with a vacuum pump through liquid suction and drainage pipelines; the liquid suction assembly is arranged at the moving end of the movement mechanism, and the movement mechanism can drive the liquid suction assembly to ascend and descend in the vertical direction; the discarding assembly comprises a discarding part used for making contact with the upper edge of the disposable suction head and a discarding movement mechanism used for driving the discarding part to ascend and descend in the vertical direction; and the vacuum pump, the movement mechanism and the waste movement mechanism are all in signal connection with the control device. The automation degree of the sample pretreatment filtering link is improved, the manual operation is reduced, the personal harm to operators is reduced, and the sample filtering efficiency is remarkably improved.

A transformer device with an automatic transformer oil filtering function belongs to the technical field of transformers and comprises a transformer body, a time switch, an oil pump, a filtering mechanism and a blockage detection circuit. A liquid outlet pipe and a liquid inlet pipe are installed on a shell of the transformer body, and the oil pump is installed at the side end of the transformer body. The filtering mechanism comprises valves, a barrel, a filter screen barrel, a pressure sensor, a connecting plate and a movable pipe, the upper end of the second valve is connected with a liquid outlet pipe of the transformer body, and the liquid outlet end of the oil pump is connected with a liquid inlet pipe of the transformer body; and the time switch and the blockage detection circuit are arranged in the electric control box and are electrically connected. The oil pump can be controlled to pump out transformer oil in the shell of the transformer body at regular intervals, the transformer oil is filtered through the filtering mechanism, a manager can be prompted to dispose the transformer oil in time when impurities are relatively large after filtering, and after the filter screen cylinder is blocked, the filter screen cylinder can be conveniently taken down to be cleaned on the basis that the transformer body does not stop. And the normal work of the transformer body is ensured as far as possible.

This invention discloses an automatic backwashing filter, comprising a main housing, within which a cylindrical filter screen is rotatably connected. An inlet is located at the bottom of the main housing, communicating with the inner cavity of the main housing through the inner cavity of the filter screen. The inner cavity of the filter screen is provided with several suction nozzles, the discharge channels of which are connected to a backwashing pipe. A high-pressure nozzle manifold is located within the inner cavity of the main housing, used to transport high-pressure liquid. Several nozzles are mounted on the high-pressure nozzle manifold, with their inlet ends communicating with the manifold and their outlet ends corresponding to the outer surface of the filter screen. This automatic backwashing filter enables uniform and consistent cleaning of the filter screen, improving cleaning efficiency and the ability of the filter screen to operate continuously online, achieving high-precision automatic filtration.

System and method for automated filter determination of Sigma rules used in a malicious content detection system is provided. The system and method can include training a machine learning algorithm based on candidate sets that can be determined based on a plurality of sigma rules, and performing inference for a plurality candidate sets corresponding to a plurality of sigma rules based on the machine learning algorithm to detect malicious content.

The utility model relates to the technical field of curing agent filtering equipment, in particular to automatic filtering equipment for a curing agent. Comprising a base, a box body, a discharging pipe, a filter screen, a pushing assembly and a dredging assembly, the filter screen is arranged in the box body, and the pushing assembly is arranged in the box body and connected with the filter screen; the dredging assembly comprises a telescopic rod, a transverse moving module, a connecting frame, a plurality of connecting cylinders, a plurality of arc blocks and a plurality of reset springs, the telescopic rod is arranged on the top wall of the box body, the transverse moving module is connected with the telescopic rod, the connecting frame is connected with the transverse moving module, and the connecting cylinders are fixedly connected with the connecting frame and evenly distributed below the connecting frame; and each arc block is movably connected with the corresponding connecting cylinder, and the two ends of each reset spring are fixedly connected with the corresponding connecting cylinder and arc block, so that the filter screen can be conveniently dredged, equipment does not need to be disassembled for cleaning the filter screen, and the filtering efficiency of the curing agent is greatly improved.

Embodiments of a fluid filtration system constructed according to the principles of the present disclosure may be used to automatically adjust a single use filter for efficient use thereof. For example, in an embodiment, a fluid filtration system may include a filter conditioning procedure including at least one of a filter perfusion module, a filter flush module, and a filter pressurization module.

Embodiments of a fluid filtration system constructed according to the principles of the present disclosure may be used to automatically adjust a single use filter for efficient use thereof. For example, in an embodiment, a fluid filtration system may include a filter conditioning procedure including at least one of a filter perfusion module, a filter flush module, and a filter pressurization module.

The invention provides a self-cleaning filtering station and a control method for the self-cleaning filtering station, the self-cleaning filtering station comprises at least one filtering unit, the filtering unit comprises a filter, the filter is connected with a liquid inlet pipeline, a liquid outlet pipeline, a flushing pipeline and a blow-off pipeline, the liquid inlet pipeline is provided with a liquid inlet valve, and the liquid outlet pipeline is provided with a liquid outlet valve. A flushing valve is arranged on the flushing pipeline, a blow-down valve is arranged on the blow-down pipeline, and the self-cleaning filtering station performs filtering or flushing operation by controlling the liquid inlet valve, the flushing valve and the blow-down valve. According to the embodiment of the invention, the automatic filtering and flushing operation of the filtering system can be realized, and the functions of automatic monitoring, automatic data uploading and the like can also be realized, so that the service life of the filter element can be effectively prolonged, and the optimal filtering effect of the filter element can be kept.