14results about How to "Strong practical value" patented technology

This invention discloses a transformer partial discharge separation algorithm based on a self-supervised network, comprising the following steps: acquiring and storing partial discharge signals of the transformer; extracting discharge waveforms using an outlier detection method; constructing a self-contrast dataset and a negative example dataset for pulse data; extracting signal spectral features using a supervised contrastive network and training the network's spectral feature extraction capability; finally, classifying the features using an iterative self-organizing clustering algorithm; setting initialization information in the iterative self-organizing clustering algorithm, clustering the feature data obtained in step five, and after classification, determining the discharge type of data in each category using expert knowledge to obtain the discharge type result; this invention, by classifying and calculating discharge signals, can effectively calculate the discharge quantity and total discharge of different discharge faults, realizing the functions of transformer operating condition monitoring and fault early warning, and effectively protecting the safety of the transformer.

The invention belongs to the technical field of artificial intelligence and information, and particularly relates to a media data acquisition method and system for constructing a space-time knowledge tree based on prompt engineering. The system comprises a prompt engineering module, a common knowledge tree construction module, a space-time knowledge tree construction module and a media data acquisition module, wherein the prompt engineering module provides a prompt word template; the common knowledge tree construction module constructs a common knowledge tree through large language model reasoning; the space-time knowledge tree construction module is used for calling a place refining cue word template and a facility refining cue word template based on a common knowledge tree, and constructing a space-time knowledge tree through large language model reasoning and multivariate geographic information verification; and the media data acquisition module generates a multi-dimensional retrieval condition and drives a data acquisition engine to acquire data. According to the method, automatic construction and dynamic expansion of a knowledge tree are realized by utilizing large model reasoning and a controllable prompt strategy, and crawlers are driven to accurately retrieve in multiple dimensions, so that accurate capture of high-value data and reliable tracking of evolution clues are realized.

The application discloses a magneto-electric dipole super-wideband antenna and relates to the technical field of communication antennas.The application comprises a connector and an antenna main body assembly, the antenna main body assembly comprises a first radiating sheet and a second radiating sheet, the first radiating sheet and the second radiating sheet are respectively composed of two sides A, B and C, D, and the two sides A, B and C, D are respectively combined into L shapes; the application comprises an antenna directing assembly, the antenna directing assembly comprises a ring sheet, a convex sheet and a circular sheet, a reflecting plate, and the reflecting plate is connected with an inner folded edge and a side folded edge on the side close to the antenna main body assembly. Through special design of the reflecting plate, the antenna main body assembly, the antenna directing assembly and the baffle structure, the application realizes a magneto-electric dipole antenna with a standing wave of less than 1.5 in a 737-976&1480-3840&4190-4920 MHz super-wideband range, and the magneto-electric dipole antenna has good and stable directional diagram radiation performance in the working frequency band, covers the frequency band requirements of operators such as China Mobile (880-960&1710-2675 MHz) and China Telecom (806-960&1710-2500&3300-3700), and has strong practical value.

The invention discloses a research theme recommendation method and system based on a heterogeneous information network and a large language model. According to the method, complex association among scholar historical research, a cooperation network and a thesis theme can be deeply mined, and scholar and theme representation learning fusing semantic content and a network structure is realized, so that reasonable association of a recommended theme and a scholar research background in a structural level is ensured. A large language model is further introduced for semantic reasoning and refining, intelligent evaluation and sorting can be conducted on candidate topics from multiple dimensions such as correlation, novelty and feasibility, and individuation, interpretability and academic perspectiveness of recommendation results are remarkably enhanced. Finally, a refined theme list which is highly matched with the research venation and has innovation potential and feasibility is provided for scholars, and the scholars are powerfully assisted in mastering the research dynamic state and expanding the research direction.

The invention belongs to the technical field of coal seam gas pressure measurement, and relates to a drill hole effectiveness evaluation and correction method for coal seam gas pressure measurement under a water-containing condition, which comprises the following steps of: dismantling a pressure gauge after the gauge display pressure of the pressure gauge for measuring the coal seam gas pressure under the water-containing condition is stable; the water filling condition in the hole is checked after the pressure gauge is dismounted; judging whether a pressure measuring drill hole for measuring the gas pressure of the coal seam under the water-containing condition is communicated with a water-containing layer / karst cave or not according to the checking result, and if yes, judging that the pressure measuring drill hole is invalid; and if the gas pressure is not conducted and water is filled, the pressure displayed by the meter is corrected to obtain the real coal seam gas pressure. According to the method, the effectiveness evaluation system of the coal seam gas pressure measurement drill hole under the water-containing condition is established, typical conduction and atypical conduction judgment criteria are introduced, and scientific quantitative evaluation on whether the pressure measurement drill hole is communicated with the water-containing layer / karst cave or not is achieved.

This invention relates to the field of pathogen detection technology, specifically to a qRT-PCR kit for detecting fall armyworm rhabdovirus and its usage method. The kit includes qRT-PCR amplification buffer, which comprises a primer-probe set. The primer-probe set includes primer pairs and probes. The primer pairs include an upstream primer as shown in SEQ ID NO. 1 and a downstream primer as shown in SEQ ID NO. 2. The probes include probes as shown in SEQ ID NO. 3. This kit is sensitive, convenient, highly specific, and reliable. A single test is sufficient to determine whether a sample contains fall armyworm rhabdovirus and to detect the amount of fall armyworm rhabdovirus. It can also perform large-scale sample analysis simultaneously, providing strong technical support for the qualitative / quantitative detection of fall armyworm rhabdovirus. It has strong practical value and excellent application prospects.

The application provides a kind of city granularity-based vehicle transfer path calculation method, system and terminal machine, belongs to the field of vehicle path planning, constructs adjacent city data network;Vehicle path data network is constructed;According to the input condition, the shortest path between nodes is calculated using Dijkstra algorithm, and the strategy of greedy algorithm is adopted, the adjacent nodes of the vertex closest to the starting point and not visited are traversed each time, until the end point is expanded, to obtain the hottest route between any two nodes or multiple nodes.The method is based on the actual vehicle operating conditions, from the perspective of city transfer, analyzes the transfer trend and heat between cities, and provides an effective method for finding popular routes, with strong practical value.

The invention specifically relates to a fixed-wing unmanned aerial vehicle cluster coverage reconnaissance path sensor joint optimization method, belongs to the technical field of unmanned aerial vehicle cluster collaborative area coverage task planning, and is suitable for emergency search and rescue, resource inspection and other scenes. The method aims at solving the problems that in the prior art, track planning and sensor parameter configuration are decoupled, and dynamic response is insufficient. The method comprises the steps of task initialization and environment modeling, determining an optimal coverage direction of a region, and establishing a sensor and unmanned aerial vehicle kinematics model; constructing a regional decomposition and joint optimization model, dividing operation strips, and establishing three types of track models and a mixed integer programming model; solving based on a random search heuristic algorithm, and obtaining an optimal track and sensor parameters through random construction and reconstruction inversion; and dynamic event response and re-planning are carried out to quickly cope with emergencies such as unmanned aerial vehicle exit and new areas. According to the invention, joint optimization of the track and sensor parameters is realized, redundant voyage is reduced, coverage efficiency is improved, and high robustness and real-time performance are realized.

The application discloses a precipitation model processing method and system based on dual-polarization radar data, so as to improve the calculation efficiency of the model and ensure the reliability of the precipitation evaluation result. H According to the target interval, five layers are divided, and each grid unit is layered according to the value of Z H of the highest height from the ground H and Z DR of each height and each period corresponding to each layer in the candidate factor set are converted into non-zero value cumulative average values, and the ground precipitation data is used as the label of the corresponding grid unit; from the converted candidate factor set of each layer, the data sequence corresponding to the part of the factors meeting the set condition in terms of the correlation between each layer and precipitation is screened out as the input of the Transformer prediction model by using the mutual information method; after obtaining the precipitation prediction value, the layering principle of the prediction precipitation value of each layer is reversed to obtain the overall prediction value.

This invention relates to the field of mine roadway and traffic tunnel technology. To accurately identify the lithology and weathering degree of rocks within boreholes in real time, it provides a method and device for identifying lithology and weathering degree based on drill rod vibration signals. Based on a six-component vibration sensing architecture with an octahedral structure, it achieves six-component full-dimensional sensing of drill bit rock-breaking vibration acceleration signals. A triple filtering method is used to remove interference, and the vibration frequency is corrected by combining the drill rod length to eliminate the interference of drill rod length changes on the vibration frequency during drilling. The corrected signal is processed by frame segmentation, extracting time-frequency features and time-domain features respectively. Finally, a borehole lithology and weathering degree identification model composed of CNN branches and MLP branches is constructed. The CNN branch automatically learns the local correlation patterns of time-frequency features, and the MLP branch automatically combines the nonlinear relationships in the time-domain features, thereby achieving efficient and accurate identification of borehole lithology and weathering degree.

The utility model discloses a kind of high-pressure pneumatic rotary spray head, including rotating head, high-pressure water outlet pipe, shell, rotating shaft, pneumatic motor, synchronous belt, synchronous pulley one, synchronous pulley two, fixed seat, shaft sleeve, water switch body and air cylinder, rotating head is connected with high-pressure water outlet pipe by pipe sleeve, high-pressure water outlet pipe is set in shell;Pneumatic motor is connected with synchronous pulley two, synchronous pulley two is driven connection with synchronous pulley one by synchronous belt, synchronous pulley one is installed on rotating shaft, rotating shaft cooperates with rotating head, water switch body cooperates with air cylinder and is used at least for controlling water circuit on-off.This utility model is driven by pneumatic motor with synchronous belt, improves the stability and efficiency of rotary power transmission, reduces mechanical wear, prolongs equipment life, multiple sealing structure design, enhances the sealing of high-pressure water circuit, effectively prevents leakage, safeguards operation safety, equipment integrated water switch body and air cylinder control, realize the quick and accurate regulation and control of water circuit on-off, adapt to different operation needs.

The application belongs to the technical field of satellite signal processing, and provides a satellite-borne GNSS multipath modeling method, device, equipment and storage medium. The method comprises: establishing a satellite three-dimensional model and a signal source model in the same coordinate system to simulate the incidence process of the signal; when the signal ray emitted by the signal source model has an intersection with the satellite three-dimensional model, it is considered that there may be a reflected signal; the possible reflected signal is verified according to the intensity ratio of the signal ray before and after passing through the reflection surface of the satellite three-dimensional model; if the intensity ratio is within a set range, it is confirmed that the reflected signal exists; in the case that the reflected signal exists, the reflection point and the reflection path are calculated; the code pseudorange delay, the carrier phase delay and the Doppler delay are calculated to obtain a multipath error model. The method can calculate the multipath error of a satellite-borne receiver, and realize the suppression of the multipath effect at a low cost.

This invention proposes a distance measurement method and system based on binocular depth reconstruction and target segmentation, belonging to the field of icing detection technology. This invention addresses the problems in icing detection, such as difficulty in distinguishing between targets and background, high depth noise, unstable 3D representation, susceptibility to outlier interference, and insufficient equipment integration. The method includes: S1: binocular image acquisition and parameter acquisition; S2: binocular calibration and image preprocessing; S3: depth reconstruction, generating disparity and depth maps; S4: target segmentation, extracting the target region; S5: 3D target construction, extracting and optimizing the target's 3D point set; S6: spatial distance calculation, determining the spatial distance between targets; S7: result output and linkage control. The system includes: a binocular image acquisition module, a calibration and synchronization control module, an edge computing module, a data storage module, a communication module, a display and alarm module, and a power supply module.

The invention is suitable for the technical field of coatings, and provides an environment-friendly graphene heat dissipation coating and a preparation method thereof.The preparation method comprises the following steps that a catalyst is added into glycidyl methacrylate and a silane coupling agent for a ring-opening-polymerization reaction, and a modified silane coupling agent is obtained; gallic acid or a derivative thereof is added into the modified silane coupling agent for continuous reaction, and a coating matrix is obtained; adding graphene into the coating matrix, and carrying out ultrasonic homogenization; and uniformly mixing the cured resin with the coating matrix to obtain the graphene heat dissipation coating. By introducing gallic acid and a derivative thereof as a polyphenol cross-linking agent and adopting a modified silane coupling agent and the like, the problems that graphene is easy to agglomerate and difficult to disperse in a system are solved, covalent bonding between graphene and an organic resin matrix is realized, the interface thermal resistance is effectively reduced, the phonon transmission efficiency is improved, and the graphene / organic resin composite material has a good application prospect. And high thermal conductivity and strong thermal radiation capability are achieved.