85 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 provides a real-time water depth detection system and method for dredging engineering, and relates to the technical field of water depth detection.The method comprises the steps that real-time positioning data and underwater sound velocity data of a surveying ship and water depth data of an underwater topographic point in a ship body coordinate system are collected respectively; according to the real-time positioning data, the underwater sound velocity data and the water depth data, sounding point coordinate reduction, plane system conversion and vertical sharp conversion are carried out to obtain plane coordinates and water depth of each underwater topographic point in a satellite coordinate system, and the plane coordinates and the water depth are used as water depth detection results to be uploaded to a dredging system of a dredging ship; and performing time delay correction on the acquisition process of the water depth data according to the water depth detection result. The system has the beneficial effects that a multi-source sounding data automatic filtering technology is adopted, automatic filtering processing can be carried out on data, the accuracy and automation capability of data processing are improved, a water depth measurement result is immediately generated and directly transmitted into a dredging construction system of a surveying vessel, and the application efficiency is greatly improved.

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 invention provides a dynamic news information data filtering method and tool. The method comprises the steps of obtaining a dynamic news information data set obtained in a web crawler mode; preprocessing the dynamic news information data set to obtain a preliminarily filtered dynamic news information data set; wherein the preprocessing comprises empty judgment check; performing deep noise cleaning on the preliminarily filtered dynamic news information data set by using a filtering prompt word indication large model so as to identify and remove impurity noise information contained in the dynamic news information data set, and removing character contents in a preset range by using a regular expression; and comparing the news information data acquired through different information sources contained in the dynamic news information data set by adopting a comparison algorithm model so as to remove repeated information and obtain the dynamic news information data set after deep filtering. According to the invention, highly intelligent and automatic filtering processing of dynamic news information data can be realized.

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.

The invention discloses a railway sound barrier bolt loosening intelligent identification method, which is used for intelligent detection and identification of a railway sound barrier bolt loosening state, and comprises the steps: obtaining a railway sound barrier image, and carrying out the identification of the railway sound barrier image based on deep learning, determining a sound barrier structured component to achieve a substantial positioning of the position of the railway sound barrier bolt to obtain position information, and calibrating the pixel accuracy and the position information of the railway sound barrier image; the sound barrier structural component comprises a stand column, a unit panel and a bolt. Identifying the type of the bolt and the position of the component based on a bolt structure refined identification method so as to carry out refined identification on the state of the bolt; outlier detection, clustering and interpolation are carried out on the recognition result based on a DBSCAN algorithm, so that automatic filtering of clustering is realized to improve the accuracy of the recognition result; and carrying out disease identification on the railway sound barrier bolt based on the processed identification result. The invention further discloses an identification system, electronic equipment and a computer readable storage medium.

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 medical environment control, in particular to an operating room air automatic filtering and purifying method which comprises the steps that first environment quality data in an operating room are collected in real time through a distributed sensor network, and a first pollution load parameter is determined according to the first environment quality data; determining a strategy adjustment parameter according to the first pollution load parameter and an operating room use frequency coefficient; determining a filtering and purifying strategy according to the strategy adjustment parameter; determining a filtering effect parameter according to the first environment quality data before filtering and purifying and the first environment quality data during filtering and purifying and the operating room use frequency coefficient; the filtering and purifying strategy is determined to be adjusted according to the filtering effect parameters, or the purifying parameters are adjusted, and the problem that in the filtering and purifying process, the filtering and purifying parameters cannot be flexibly adjusted according to the actual concentration of environmental pollution is solved.

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.

The utility model relates to the technical field of full-biodegradable mulching films, and discloses an automatic filtering and mixing device of a full-biodegradable mulching film, which comprises a bottom plate, a fixing frame is fixedly mounted at the top of the bottom plate, a mixing barrel is fixedly mounted in an inner cavity of the fixing frame, a filtering and mixing mechanism is arranged at the top of the bottom plate, and the mixing barrel is fixedly mounted in an inner cavity of the fixing frame. The filtering and mixing mechanism comprises a second electric push rod and a filter screen, the second electric push rod is fixedly connected with the bottom plate, a supporting frame is fixedly mounted at the output end of the second electric push rod, and an upper cover is fixedly mounted at the bottom of the supporting frame. By arranging the filtering and mixing mechanism, a stirring rod can be driven to stir materials by turning on a stepping motor, a first convex block can be driven to rotate, the first convex block continuously collides with a second convex block, a filter screen can move up and down in a reciprocating mode through cooperation of a reset cylinder, a reset spring, a reset plate and a reset rod, and therefore the purpose of screening materials is achieved. Screening and mixing are synchronously carried out, and the working efficiency is improved.

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 utility model relates to the technical field of seasoning production and processing, in particular to an automatic filter screen for seasoning materials. According to the technical scheme, the filter screen comprises an arc-shaped filter screen body structure made of metal materials, the upper end of the filter screen body structure is an arc-shaped body matching installation groove with an upward opening, and evenly-distributed body filtering matching holes are formed in the inner arc face of the body matching installation groove. The shape of the main body filtering matching hole is a rectangular notch, the left side and the right side of the filter screen main body structure are respectively provided with an integrally-formed integral mounting fixing plate, and the upper end of each integral mounting fixing plate is provided with uniformly-distributed main body fixing limiting holes. The utility model has the advantages that the integral installation and replacement operation are more convenient, the automatic replacement operation can be realized by matching with intelligent equipment, the replacement efficiency is higher, the matching position is combined with the anti-drop safety matching groove, and the combination strength of the matching position and the safety in the installation and replacement process are guaranteed.

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 efficient multi-medium automatic filter which comprises a filter body, a water inlet pipe is fixedly installed at the top of the filter body, a sliding groove is formed in the inner wall of the filter body, a first sliding block is connected to the inner wall of the sliding groove in a sliding mode, and a fixing frame is fixedly installed on the surface of the first sliding block. A first medium filtering plate and a second medium filtering plate are fixedly mounted on the inner wall of the fixing frame, a driving assembly is arranged on the left side of the filter body, a moving rod is arranged on the left side of the filter body through the driving assembly and slidably connected with the filter body, and a guide assembly is arranged on the rear side of the moving rod; a moving plate is fixedly mounted at the right end of the moving rod and fixedly connected with the fixing frame. Only the filter material corresponding to the first medium filter plate or the second medium filter plate needs to be replaced, and a certain layer of filter material which can be continuously used does not need to be replaced, so that resource waste is avoided.

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 invention provides a signal filtering method, system, device and medium based on a circular queue array. The circular queue array is used to store the received touch point sampling values. The middle value is taken and compared with the remaining front and back values in the circular queue array. On the one hand, the first few touch point sampling values when the touch screen is pressed and the first few touch point sampling values before the touch screen bounces are automatically filtered, effectively removing the jitter when pressing and bouncing. On the other hand, the selected point is located in the middle of the circular queue array, and the adjacent front and back points are compared, which is suitable for the situation where the click position of the touch screen changes rapidly, reducing the situation of being wrongly filtered due to position changes. The embodiments of the present invention are applicable to the field of medical devices, can accurately filter the jump points of the touch screen, realize accurate reporting of the touch press position value, and reduce the risk of misoperation of the device.

The present invention relates to an aspect category detection method based on automatically building a prompt learning mapper, and belongs to the field of aspect-level sentiment analysis. The present invention comprises the following steps: first, semantically extended sentences of category words and task-specific templates are used to form prompts to obtain the predicted probabilities of all words in a pre-trained language model vocabulary; then, an automatic filtering mechanism is designed to search the vocabulary for the most appropriate prompt words to form a prompt word set for each category word; during the category prediction process, a verbalizer maps the prompt words to the final category label. The present invention was experimented on three different domains (boots, keyboards, and televisions) of the restaurant dataset in the International Semantic Evaluation Competition (SEMEVAL) and the Amazon dataset. The results show that the performance of the present invention is significantly improved compared to other base models.

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 discloses an automatic shielded ground element label filtering method based on point cloud. The method comprises the following steps: acquiring self-vehicle attitude information of a vehicle; converting local map elements from a world coordinate system to a self-vehicle coordinate system according to the self-vehicle attitude information; based on the self-vehicle attitude information, filtering and cutting off the local map elements according to a preset self-vehicle sensing distance; acquiring point cloud data collected by the vehicle, and converting the point cloud data from a point cloud coordinate system to an own vehicle coordinate system, so that the point cloud data and the local map elements are aligned in the same coordinate system; expanding a local map element into a polygon, and detecting the number of point cloud data in the polygon; if the number of the point cloud data in the polygon is smaller than a preset threshold value, it is judged that the local map elements are shielded ground element labels, and the shielded ground element labels are filtered. The method can automatically filter the shielded ground element labels, and has higher accuracy and reliability.