21results about How to "Achieve aggregation" 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.

The invention relates to the technical field of grinding devices, and provides a grinding device for the exterior of a wire rod, which can realize single-time full-ring complete treatment of the wire rod, is relatively stable in treatment quality, has an automatic abrasive cleaning function, is relatively low in manual maintenance frequency and relatively good in practicability, and comprises a transmission mechanism and a main body structure, a main body structure comprises a foundation frame, a processing box is fixedly connected in the foundation frame, a threading opening is formed in the processing box and used for threading of wires, a fixed box is fixedly connected to the top end of the processing box, lifting boxes are slidably connected to the front end and the rear end of the processing box, and a plurality of fixed coils and a plurality of fixed conductors are arranged in the fixed box; a plurality of fixed conductors are arranged in the processing box, a plurality of fixed coils are respectively wound on the plurality of fixed conductors, a plurality of lifting coils and a plurality of lifting conductors are arranged in the two lifting boxes, the plurality of lifting coils are respectively wound on the plurality of lifting conductors, the transmission structure is mounted in the foundation frame, and an inclined arc-shaped supporting plate is fixedly connected in the processing box.

This invention discloses a method and apparatus for intrusion detection based on deep learning-based 3D point cloud. The method acquires a point cloud of the scene to be tested; it then performs target recognition on the point cloud using a personnel target detection network to obtain personnel target detection information. The personnel target detection network is constructed based on the Voxel R-CNN framework, and the feature set of the voxel grid is generated based on the position information of the points in the point cloud contained within the voxel grid and the point cloud features. Based on the detection information and the position information of dangerous areas in the scene to be tested, it determines whether an intrusion event has occurred. This invention compensates for the shortcomings of MeanVFE in feature utilization by reconstructing the voxel grid feature set generation method through the personnel target detection network, calculating the offset, and concatenating it with other features. It also achieves the aggregation of local and global information, utilizing feature information at different levels to improve feature expression quality, thus significantly improving detection accuracy.

This invention discloses a method for constructing a dataset through multimodal data fusion and extraction in the field of solid waste disposal. The method includes: first, converting the original document into a sequence of multimodal objects; second, constructing a document-level context index and entity knowledge base, extracting entity relationships, and constructing a global knowledge base and index; next, using the global knowledge base and index, performing semantic classification and dynamic routing on the multimodal object sequence, performing multimodal divide-and-conquer extraction by assembling contextual information packets, and outputting discrete record fragments; finally, generating feature identifiers based on experimental conditions, reconstructing cross-modal data through a confidence priority mechanism, and generating a standard dataset. This invention effectively solves the attention drift and task confusion problems when large language models process complex long documents, overcomes the challenge of entity referencing resolution in cross-paragraph contexts, and overcomes the difficulties of information incompleteness and alignment in multimodal table and image data, significantly improving the quality of dataset construction.

This disclosure pertains to the field of batteries, specifically a method and system for early warning of thermal runaway in automotive power batteries. It involves collecting data on individual battery cell voltage, total voltage, current, and temperature to construct an original feature sequence. This sequence is then fused using multi-head one-dimensional convolution to integrate local temporal features at different time scales, generating a fused feature sequence. Temporal encoding is performed using a gated recurrent unit with an added anomaly response gate. Anomaly scores are calculated based on the degree to which the input features deviate from the historical mean, and the hidden state is updated accordingly. The output consists of a hidden state sequence and anomaly score sequence. A dual-channel attention module is used to calculate temporal and feature attention weights, which are then coupled through a Hadamard product to generate a coupled attention weight matrix. The hidden states are weighted and aggregated to obtain a context vector, which is decoded by a fully connected network to determine the thermal runaway risk probability. This probability, combined with the rate of change, generates an early warning threshold, enabling real-time and accurate thermal runaway early warning triggering.

The application provides a travel service recommendation method and device, an electronic device and a storage medium. The method comprises the following steps: performing regional clustering based on station position information of a traffic station to obtain a plurality of candidate travel region pairs, and constructing a candidate travel chain; obtaining first historical travel data in a preset historical period, and extracting corresponding second historical travel data for a preset operation time interval; for each candidate travel region pair, determining a maximum number of transfers, and obtaining a target historical passenger flow in a continuous historical time interval; combining a preset screening condition to screen a target travel region pair; extracting third historical travel data, generating a travel inappropriateness evaluation index of each operation time interval based on the first and third historical travel data for each target travel region pair, and recommending a travel service to a travel object according to the travel inappropriateness evaluation index. The application can provide personalized traffic services for travel objects with the same travel demand and provide a good travel experience.

The application provides a magnetic field control system and method for magnetic micro-cluster multi-branch navigation, which comprises a control module and a magnetic field generation module. The control module obtains a first moving magnetic field gradient, a split magnetic field gradient and a second moving magnetic field gradient through the relationship among the magnetic field gradient, the size and the speed of the magnetic micro-cluster, and obtains the coil current value of the magnetic field generation device through the relationship among the coil current value, the position of the magnetic micro-cluster and the magnetic induction intensity; the magnetic field generation module is configured to generate a uniform rotating magnetic field based on the initial magnetic induction intensity to drive the magnetic micro-particles to gather and form the magnetic micro-cluster, navigate the magnetic micro-cluster to the intersection point of different branch positions based on the first moving magnetic field gradient, split the magnetic micro-cluster into at least two sub-magnetic micro-clusters based on the split magnetic field gradient, and navigate each sub-magnetic micro-cluster to the different branch positions based on the second moving magnetic field gradient, so that the application realizes synchronous targeted drug delivery for multi-branch lesions.

This invention discloses a method for domesticating mandarin fish fry, comprising the following steps: 1) After releasing the fry, feed them naturally for one day, then stop feeding for one day, and then feed them live bait fish at a fixed point on the bottom of the pond for 1-2 days; 2) Feed them live bait fish and dead bait fish in a certain proportion, and feed them together for 2-3 days, feeding them once a day at sunset; during feeding, the proportion of dead fish is 5%-50% and gradually increases; 3) Feed them together with live fish, dead fish and feed for 2-3 days, feeding them once a day, gradually increasing the proportion of dead fish from 50% to 100%, while the amount of feed is 0.5-2.5% of the total weight of the mandarin fish in the pond, and gradually increasing, with the total amount of feed being 2.5-3.5% of the total weight of the mandarin fish in the pond; at the same time, continuously raise the feeding height to the water surface; 4) Stop feeding the bait fish and feed them with pure feed on the water surface, and domestication is completed after 1-2 days. This invention can increase the domestication rate of mandarin fish in a short time and can be widely applied to the artificial breeding of mandarin fish.

The invention provides a new energy power plant centralized monitoring system time period reporting system, and relates to the technical field of new energy power generation, and the system comprises a time period analysis device which carries out the analysis processing of a time period selection instruction received by a monitoring human-computer interface, and forms a target time period parameter set. And the data screening device performs screening processing on the original operation data and the event records corresponding to the target time period to form a target information set, and the screening processing adopts a field white list mode. According to the time period reporting system of the centralized monitoring system of the new energy power plant, original operation data are accurately analyzed and screened through the synergistic effect of a plurality of modules such as the time period analysis device, the data screening device and the state arrangement device, a target information set is formed, and aggregation and arrangement of equipment-level state evolution sequences are achieved. By combining the event records of different sources, aligning the time labels and intensively arranging the cross-station data, the efficiency and accuracy of data processing are improved.

In reactive polycarbonates, there is a problem of poor reactivity in the crosslinking reaction. Furthermore, existing reactive polycarbonates that require minor components such as polymerization initiators tend to be unsuitable for various applications and have poor versatility. The above problems are solved by the polycarbonate resin of the present invention, wherein the polycarbonate resin comprises: structural units (A) derived from monomers represented by the following general formula (1) and / or structural units (B) derived from monomers represented by the following general formula (2); and structural units (C) derived from monomers represented by the following general formula (3), wherein the total proportion of structural units (A) and (B) is 0.5 to 25 mol% relative to the total molar number of structural units (A) to (C) constituting the polycarbonate resin, and the proportion of structural unit (C) is 75 to 99.5 mol%. R in formulas (1) to (3) 11 ~R 38 As shown in this application specification.

This invention provides a data spatial query method, apparatus, electronic device, and computer-readable storage medium. The data spatial query method provided by this invention includes: acquiring target business data; constructing a spatial field based on the latitude and longitude data of the target business data; importing the spatial field into a preset index; acquiring the latitude and longitude data of two diagonal vertices within a visualized map area; determining a data query range based on the latitude and longitude data of the two diagonal vertices; acquiring a geographic grid based on the data query range and the shrinkage ratio of the visualized map; and aggregating and statistically analyzing the target business data within the geographic grid area based on the spatial field to obtain query results. The data spatial query method provided by this invention can aggregate points on a large number of maps and respond promptly to the aggregation.

The application provides a dynamic priority charging and discharging scheduling method and system based on community V2X vehicle network interaction, obtains vehicle battery state, travel regularity, community load and power grid state data through V2X communication, jointly evaluates vehicle dynamic priority and scheduling time window, and forms power cell division based on load demand and vehicle adaptability. Then, the conflict is resolved by combining the deterministic travel plan, an emergency adjustment set is generated, power optimization distribution is completed within the power grid safety boundary, and a scheduling instruction is output. Thus, the aggregation, evaluation, grading and optimized scheduling of community electric vehicle energy storage resources are realized, the electric vehicle cluster is converted into a controllable distributed energy storage system under the premise of guaranteeing the travel demand of the vehicle owner, which not only supports the power grid and stabilizes the fluctuation, but also creates benefits.

The application relates to a multi-dimensional visual micro-force measuring device and a measuring method, and relates to the technical field of experimental measuring devices.The device comprises a high-pressure reaction cavity, a three-dimensional moving table, a moving-end glass fiber, a fixed-end glass fiber and an image and data acquisition system; the moving-end glass fiber is fixed on the three-dimensional moving table, and the fixed glass fiber is fixed on the inner wall of the high-pressure reaction cavity; a first observation window is arranged at the top of the high-pressure reaction cavity, a second observation window is arranged on one side of the high-pressure reaction cavity, and the image and data acquisition system is used to realize the measurement of two forms of micro-forces between hydrate particles-hydrate particles, hydrate particles-droplets-wall surfaces. The application can accurately measure the micro-forces between hydrate particles-hydrate particles, hydrate particles-droplets-wall surfaces in a high-pressure gas main system through multi-dimensional and multi-angle observation, and further evaluate the effect of a "double-effect" inhibitor in "preventing particle aggregation and preventing particle wall adhesion".

The invention discloses an optical fiber beam combiner structure based on a single-mode optical fiber and a metasurface and a preparation method of the optical fiber beam combiner structure, belongs to the field of optical fiber beam combiners, and maximizes the output optical power of the beam combiner structure through structural cooperation among the single-mode optical fiber, a coreless optical fiber and a micropore area of the single-mode optical fiber with the punched side face. The beam combiner mainly comprises a beam combiner structure, the beam combiner structure comprises a single-mode optical fiber and a single-mode optical fiber with a punched side face, the end portion of the single-mode optical fiber is a coreless optical fiber, the coreless optical fiber is subjected to beveling processing, the single-mode optical fiber with the punched side face is provided with a micropore, the micropore is provided with a metasurface made of a silicon substrate, and the metasurface is made of a silicon substrate. And the diagonal plane at the coreless optical fiber faces the micropore area of the side-punched single-mode optical fiber, so that the output optical power among the micropore areas of the single-mode optical fiber, the coreless optical fiber and the side-punched single-mode optical fiber is maximum, and the single-mode optical fiber and the side-punched single-mode optical fiber are cured. The invention is mainly used for the optical fiber beam combiner.

This invention discloses a zero-pollution synthetic leather based on a hydrophilic microporous strong-chain structure and its manufacturing method, belonging to the field of synthetic leather manufacturing technology. The manufacturing method uses GA-MA as a chain extender, reacting it with starch-based polyols, PTMG, PEG, and IPDI to obtain a self-catalytic bio-based waterborne polyurethane emulsion. It employs a single-material TPU system: the TPU base fabric is prepared by melt spinning, the impregnated layer is wet-coated to form hydrophilic micropores, the surface layer is dry-coated to form a water-resistant and breathable membrane, and heat-setting forms strong chain bonds. The product of this invention has a tensile strength of 142 N / cm and a moisture permeability of 6.2 mg / cm². 2 • h, DMF residue < 5 mg / kg, bio-based content 52-68%, melt recovery rate 96%, carbon emissions 0.85 kg CO2 / m (48.5% lower than traditional methods); achieving “0 carbon, 0 toxic, 0 waste” fully ecological manufacturing of synthetic leather.

The application discloses a rail transit semantic segmentation method based on boundary calibration and receptive field evaluation, and steps are as follows: constructing an all-weather rail transit semantic segmentation dataset; constructing an all-weather rail transit semantic segmentation network composed of a semantic branch, a boundary branch, a detail branch, a feature aggregation layer, a convolution layer and a semantic segmentation head; adopting an uncertainty perception training strategy combined with a multi-task loss supervision mode to complete network training, so as to perform rail transit semantic segmentation on acquired rail transit scene images; and adopting the method to perform rail transit semantic segmentation on the rail transit scene images, which has the negative influence of the environmental noise region automatically inhibited, ensures the accuracy of the semantic segmentation structure, greatly enhances the perception stability of the processing target in the rail transit scene under the all-weather environment, and can also show good robustness even in the case of a sharp increase in environmental noise.

This invention relates to the fields of computer vision and intelligent detection technology, and particularly to a method and system for rapid recognition of multi-dimensional features of containers. The invention constructs a bidirectional closed-loop dynamic weighted multi-scale feature pyramid that includes top-down propagation and bottom-up calibration. Through the top-down path, high-level features provide semantic priors indicating the high probability of character presence, guiding shallower networks to focus on container number regions rather than background noise. Combined with dynamic weights, the contrast of characters can be adaptively adjusted under different lighting conditions, solving the problem of character breakage or adhesion caused by uneven lighting in existing technologies. Through the bottom-up calibration path, precise edge information contained in the multi-scale features is fed back to the deep aggregated features, enabling the deep aggregated features to achieve feature aggregation and calibration, thereby improving the positioning accuracy of subsequent detection heads.

The application discloses a self-suction type non-clogging sewage pump, and relates to the technical field of sewage pumps, which comprises a pump body, a box body, a filter box, a transmission groove, a sliding rod, a rotating disc, a baffle, a filter screen, a filter cavity and a drainage cavity. The filter box is convenient to install and dismount, the weight of the filter box is increased and slides downward along the inner wall of the box body, the sliding rod on the filter box descends along the transmission groove, the sliding rod drives the filter box to rotate, the switching of the filter cavity is realized, and the use effect of the sewage pump is ensured.

The application discloses a kind of polybenzodifuranone and its constant potential polymerization preparation method, belong to organic conductive polymer material preparation technical field, benzodifuranone (BFDO) and supporting electrolyte are dissolved in polar aprotic solvent, and electrolyte is obtained by mixing uniformly;With platinum metal electrode as working electrode and counter electrode, with saturated calomel electrode as reference electrode, three electrodes are connected with direct current power supply and are placed in the electrolyte, in air atmosphere, electrochemical polymerization reaction is carried out using constant potential method;After reaction, the reaction liquid is extracted and filtered, dried, to obtain polybenzodifuranone (PBFDO).The application uses constant potential electrochemical polymerization method, n-type conductive polymer polybenzodifuranone can be synthesized in air atmosphere in one step, without catalyst, high-temperature anaerobic environment and complex post-processing, the product conductivity is 1.157-18.28 S / cm.Process simplification, low cost, process controllable, can realize green scale preparation and industrialization application.

The application discloses a kind of virtual power plant distributed resource group control group regulation systems of virtual power plant technical field, comprising: virtual power plant regulation platform, deployment is in power company dispatching center, for according to the operation of power grid, issue plan adjustment demand and real-time adjustment command;Aggregator, for the total adjustable capacity and real-time total power of distributed resource reported by distributed resource group control group regulation terminal according to the overall adjustment of distributed resource, and according to the integrated distributed resource, plan adjustment demand and real-time adjustment command are decomposed, obtain the resource regulation requirement of each described distributed resource group control group regulation terminal, and issue to corresponding distributed resource group control group regulation terminal;Distributed resource group control group regulation terminal, for real-time calculation the total adjustable capacity and real-time total power of distributed resource in current jurisdiction range and report it to aggregator, and according to resource regulation requirement, select suitable distributed resource to carry out regulation.

This invention discloses a pulsed voltage gradient controlled dehydration process for high water-content oils, belonging to the field of crude oil dehydration technology. The invention involves mixing high water-content oil with a demulsifier to obtain a pretreated high water-content oil; heating the pretreated oil and then passing it through a pulsed electric field demulsification zone to obtain a demulsified oil; finally, the demulsified oil undergoes sedimentation separation to obtain dehydrated crude oil. This invention successfully unifies industry requirements across multiple dimensions, including dehydration depth, operational stability, economic cost, and adaptability, providing a reliable technical path for the efficient and economical dehydration of high water-content oils, especially complex and difficult-to-process oils.