17results about How to "Achieve acquisition" patented technology

This invention discloses a vertical cigarette packing device and its working method, which solves the problem of large footprint of existing cigarette packing machines. It has the beneficial effects of reducing the footprint of cigarette packing equipment and expanding the application range of cigarette packing machines. The specific solution is as follows: A vertical cigarette packing device includes a frame, which supports a multi-segment transfer mechanism, a cigarette pack flipping mechanism, and a flat plate opening and closing mechanism. The multi-segment transfer mechanism is located at the top of the frame and is connected to a clamping and suction composite clamp. The cigarette pack flipping mechanism is set on the side of the clamping and suction composite clamp. A cigarette pack clamping mechanism is set on the inner side of the frame of the cigarette pack flipping mechanism. The flat plate opening and closing mechanism is set below the cigarette pack clamping mechanism. The cigarette pack flipping mechanism flips several horizontal cigarette packs into a vertical state. The cigarette pack clamping mechanism clamps the vertical cigarette packs. When the flat plate opening and closing mechanism is closed, it supports the bottom of the vertical cigarette packs.

This application provides a remote sensing data processing method and system, electronic device, and storage medium, relating to the technical field of remote sensing data processing. The remote sensing data processing method includes: acquiring target remote sensing data from a target satellite constellation based on received user data requests; parsing the sensor type corresponding to the target remote sensing data to determine at least one target type of remote sensing data; determining the metadata information of the target type remote sensing data; performing block processing on the target type remote sensing data based on the metadata information to obtain multiple sub-target type remote sensing data; and performing distributed parallel computation on the multiple sub-target type remote sensing data to obtain the target output result. This application enables online access and acquisition of remote sensing data by parsing user data requests online, avoiding local downloads and offline processing. By migrating remote sensing data and algorithms to the cloud, it solves problems such as long processing time, low processing efficiency, and high local resource consumption costs.

The present application belongs to the technical field of measurement, and particularly relates to gas flow measurement, and especially relates to a detection device for a hollow fiber spinneret and a working method thereof. The detection device for the hollow fiber spinneret is provided with a detection part, which is used for sequentially ventilating each spinning hole when detecting the spinning hole at a spinning position, and the remaining spinning holes are blocked when one spinning hole is ventilated. A control module is used for controlling a sensor assembly to detect the gas flow of each spinning hole, so as to determine whether each spinning hole is qualified, and the gas flow of a single spinning hole is obtained, and it is convenient to accurately determine whether each spinning hole is qualified.

This application discloses a method, system, device, and medium for acquiring information from power equipment, belonging to the field of power electronics technology. The method includes: power equipment responding to a connection request from a pre-installed device by establishing a communication connection with the pre-installed device via an AP hotspot; receiving an inquiry command sent by the pre-installed device; obtaining the response information corresponding to the inquiry command; and sending the response information back to the pre-installed device. This application, by activating the AP hotspot of the WiFi module after the power equipment is powered on, allows the pre-installed device to establish a communication connection with the power equipment via the AP hotspot, obtain the corresponding response information based on the network relationship within the power equipment cluster, and provide feedback. This eliminates the need for manual scanning of QR codes or manual data entry for each power equipment, simplifying the power equipment information collection process, shortening the information acquisition time cycle, and improving the efficiency of power equipment information acquisition.

The present application relates to the technical field of mine safety production and geological disaster monitoring, in particular to a kind of open pit slope floatstone dangerous intelligent sensing method and related equipment, method is, obtain target slope image, and reconstruct depth map.Prepreg floatstone region segmentation is carried out to slope image using pre-trained PSPNet image segmentation model, and floatstone segmentation map is generated.Pixel-level fusion is carried out to segmentation map and depth map, and three-dimensional point cloud data of floatstone is extracted.Convex hull algorithm is used to carry out three-dimensional grid reconstruction to point cloud, and the geometric characteristic parameter of floatstone is calculated, based on fuzzy comprehensive evaluation theory, in combination with above-mentioned geometric characteristic parameter, the danger level of floatstone is comprehensively evaluated, and scientific basis is provided for mine safety management.The method realizes the full-process automation from image acquisition to danger level evaluation, improves the evaluation efficiency and accuracy.

The application discloses a PCIE device state detection method and system, electronic equipment and medium, relates to the technical field of PCIE device, and comprises the following steps: scanning a PCIE device tree on a server mainboard, and obtaining a PCIE device identifier on the PCIE device tree; disabling and enabling the connection state of the PCIE device and a central processor according to the device identifier; after the connection state of the PCIE device is disabled and enabled each time, performing PCIE link training once within a preset time; and after each link training is completed, the register results associated with the PCIE device are read and traversed to analyze the PCIE device state. The application can perform pressure test on the PCIE device, effectively improves the detection and diagnosis efficiency of the PCIE device, and if the PCIE device fails, the register information can be inquired, and the failure cause can be analyzed and located.

This invention relates to the field of soil remediation, and more particularly to a highly efficient remediation agent for acidic soils and its preparation method. The remediation agent consists of hydroxyapatite-modified biochar, MOF biochar composite, and lime. Compared with existing technologies, this invention not only regulates soil acidity but also provides abundant nutrients and improves soil structure. Lime can rapidly neutralize hydrogen ions in acidic soils, quickly increasing soil pH, enabling the remediation agent to improve soil acidity in a short time while achieving both short-term and long-term remediation effects. The raw materials for biochar preparation include agricultural waste such as cow dung, which are widely available and inexpensive, realizing the resource utilization of waste. Lime is also a common soil conditioner, relatively inexpensive and readily available, helping to reduce the overall production cost of the remediation agent and improve its economic feasibility and application scope.

The application provides a battery thermal runaway analysis method and device based on electric-thermal-force coupling, and belongs to the technical field of battery safety analysis and failure early warning, and comprises the following steps: S1, constructing a mechanism model; S2, defining an initial state vector and a core characteristic parameter set; S3, simultaneously performing temperature rising, pressure application and charge-discharge test on the battery; S4, collecting actual measurement values in real time; S5, the mechanism model outputs model output values; S6, constructing a target error function; S7, calculating a deviation; S8, setting a threshold value, if the deviation is less than the threshold value, the core characteristic parameter set data is used as a real physical characteristic parameter for describing the battery; if the deviation is greater than or equal to the threshold value, an optimization algorithm is used for updating, and the updated core characteristic parameter set data is used as a real physical characteristic parameter for describing the battery; and S9, analysis. The method can be used for experimental research under thermal abuse, electric abuse and mechanical abuse of various batteries, and provides extremely solid theoretical support for the safety prevention design of the battery.

This invention provides a method and system for detecting the scanning direction of a SAR satellite in an agile azimuth observation mode. The method includes: setting up a microwave probe in front of the onboard SAR antenna array to meet the far-field testing conditions and signal energy requirements of the radiating element; disconnecting the port connection between the antenna array calibration network and the internal calibrator; connecting the internal calibrator port to the microwave probe antenna via a ground-based high-frequency test cable; setting the onboard SAR system to a single-TR calibration test mode; performing normal-state single-TR calibration tests and specified-scan state single-TR calibration tests; powering on the entire satellite and recording echo data; performing pulse compression and interpolation processing on the echo data acquired from the two tests to obtain the phase value at the peak value; performing phase difference calculation and reference mapping conversion on the corresponding TR channels to generate a two-dimensional phase difference cloud map; and determining the correctness of the SAR antenna pattern scanning direction based on the two-dimensional phase difference cloud map. This invention reduces the satellite development process and improves the efficiency of integrated SAR testing of the entire satellite.

This invention relates to the field of new energy power technology and discloses a data acquisition device for simulation modeling of new energy power plants. The device includes: a multi-type signal acquisition module, a parameter classification and storage module, a topology digitization module, a data verification and completion module, an interface adaptation output module, a remote communication and control module, a power supply guarantee module, and an environmental monitoring module. The input terminals of the multi-type signal acquisition modules are connected to the sensor output terminals and control interfaces of the photovoltaic inverters, wind turbines, SVG equipment, main transformers, box-type transformers, and grounding transformers in the new energy power plant, for acquiring electrical parameters, status signals, and control logic-related data. This invention, through multi-module collaboration, synchronously acquires equipment data and topology information, solving the problems of disconnection and low efficiency in traditional acquisition and topology organization, improving data integrity, and providing reliable support for simulation modeling.

The application discloses a parking charging reminding method and device for a photovoltaic vehicle. The parking charging reminding method for the photovoltaic vehicle comprises the following steps: acquiring the latitude of a position where the vehicle is located, weather information, date information and a current time; determining whether the weather information and the current time satisfy preliminary charging preset conditions; in the case that the weather information and the current time satisfy the preliminary charging preset conditions, predicting the motion track information of the sun relative to the vehicle within the current time to preset charging cutoff time according to the latitude, the date information, the current time and the preset charging cutoff time; and controlling a detection module to detect the light resource blocking condition of the sun in the motion process relative to the vehicle according to the motion track information of the sun, and controlling a reminding module to output the detection result to perform parking charging reminding. The technical scheme provided in the embodiment of the application realizes the reminding of the light resource blocking condition of the parking charging position of the photovoltaic vehicle, and improves the user experience.

This invention discloses an integrated monitoring system and method for the structure and function of plantations based on multi-source data fusion in the field of plantation monitoring technology. The system includes: a movable ground monitoring box with a notch on one side for accommodating individual trees; a drone for multi-view observation of the tree canopy; and two landing platforms symmetrically distributed on the ground monitoring box on both sides of the notch for drone take-off and landing. The drone takes off from one of the landing platforms and flies around the individual tree along a preset flight path in the vertical plane to collect stand structure data of the bottom, top, and sides of the tree canopy. This system achieves multi-source data acquisition through the drone and ground monitoring components. A position conversion mechanism drives the landing platform and ground monitoring components to rotate synchronously and precisely, enabling multi-path canopy acquisition by the drone and omnidirectional measurement from the ground, significantly improving the integrity of canopy structure data and the accuracy of three-dimensional reconstruction.

This invention discloses a smart agricultural crop growth monitoring method based on image processing, comprising the following steps: S1, acquiring and preprocessing target crop images at a preset frequency to construct a crop image sequence; S2, extracting crop regions to construct a crop region sequence; S3, extracting leaf morphology, color distribution, and texture structure features to generate a crop feature sequence; S4, extracting the spatial coordinates of the crop regions and performing spatial calculations to obtain a growth parameter sequence; S5, constructing a growth state sequence based on the crop feature sequence and the growth parameter sequence; S6, performing two-dimensional empirical mode decomposition and statistical analysis on the growth state sequence to construct a growth trend sequence; S7, classifying the growth trend sequence using a support vector machine to generate crop growth monitoring results. This invention comprehensively utilizes DeepLabV3+ models and other technologies, possessing advantages such as high monitoring accuracy, high automation, and strong environmental adaptability.

The application discloses a kind of vehicle state risk early warning method and system based on rule engine, belong to rule engine technical field;Real-time running parameter of vehicle, fault code record, maintenance history and state parameter are collected;Risk type set is constructed, and the risk grade of vehicle is calculated;Based on the operating state characteristics of vehicle, vehicle feature vector is constructed;For any two vehicles, the similarity of characteristics is calculated, and the association between vehicles is judged;Vehicle state association graph is generated;Rule engine is constructed, and the comprehensive risk value of vehicle is calculated;Based on the comprehensive risk value of vehicle, the comprehensive risk grade of vehicle is judged, and the comprehensive risk early warning information of vehicle is generated;Comprehensive risk early warning information is sent to relevant staff and early warning is carried out, realize the intelligent, fine identification and dynamic management of vehicle state risk, significantly improve the scientificity, controllability and management efficiency of vehicle supervision.

This invention relates to the field of medical instrument technology and discloses an intelligent precision puncture auxiliary support under CT guidance and its usage method. The support includes a base, with a connecting component on the rear side of the base for connecting it to a CT scanner. An arc-shaped frame is connected to the top of the base via an adjustment component. This invention enables the automatic placement of a sampling box below the puncture needle while simultaneously injecting culture medium to remove pathological tissue from the puncture needle. The entire removal process is simple and short, minimizing the risk of pathological tissue falling out of the puncture needle. Furthermore, as the sampling box rotates with the stage and is positioned below the puncture needle, the rubber pad of the annular plate contacts the inner side of the side plate, allowing the stage to rotate slowly downwards and reach a horizontal position more quickly. This avoids continuous swaying of the stage due to inertia, preventing it from quickly reaching a horizontal position.

This application provides an anomaly analysis method and apparatus based on real-time object detection and a multimodal large model. The method includes: inputting video frame images into an object detection model to obtain predicted categories and predicted locations; constructing prompt words corresponding to the video frame images, the prompt words including predicted categories and predicted locations; inputting the prompt words and video frame images into a multimodal large model; determining a first image feature corresponding to the predicted category through the multimodal large model; obtaining a region image of the predicted location from the video frame images; determining a second image feature of the region image; if the similarity between the first image feature and the second image feature is greater than a similarity threshold, then determining that the object to be detected is a risky object; analyzing whether the target object has abnormal actions based on the video frame images using the multimodal large model; and outputting the model inference result. This application's solution can effectively reduce the false alarm rate.