11results about How to "Real-time capture" patented technology

A material arranging device is fixed to a workbench and arranged at the output end of a conveying part and comprises a channel assembly, a sorting sensor set and at least one distribution mechanism, and the channel assembly is communicated with the conveying part and extends in the advancing direction of workpieces; the distribution mechanism is fixed above the transmission part and is movably arranged relative to the transmission part; the conveyed workpieces are divided through the channel assembly arranged at the output end of the conveying part, so that the requirement that the multiple overturning parts work at the same time is met; by means of the distributing mechanism arranged above the conveying part, the workpieces in the conveying process can be distributed, then conveying channels and parallel conveying of the multiple workpieces are achieved, parallel operation of multiple operation procedures is achieved, and the efficiency of the machining equipment is remarkably improved.

The invention provides an online fault early warning method and system based on fluid dynamics of a storage tank floating disc and spectral analysis of a sealing device of the storage tank floating disc, and the method comprises the steps: collecting structure parameters and operation parameters of the storage tank floating disc, and calculating fluid dynamics parameters for the quantitative evaluation of an inclination state, a buoyancy state and a friction state of the storage tank floating disc; collecting a plurality of vibration time domain signals of the sealing device on the floating disc, and converting the vibration time domain signals into frequency domain signals to obtain a frequency spectrum curve; constructing a frequency spectrum feature library based on the frequency spectrum curves in different operation states, comparing the actually monitored frequency spectrum curves with the frequency spectrum feature library, and identifying differentiated frequency spectrum features and corresponding fault types; and performing comprehensive evaluation by combining a quantitative evaluation result of the hydrodynamic parameters and a spectral analysis identification result, thereby realizing intelligent fault early warning of the storage tank floating tray system. The method solves the technical problems that the existing storage tank floating disc operation state monitoring cannot accurately find the early-stage potential fault hidden danger of the floating disc in real time, and floating disc faults and even safety accidents are easily caused.

The invention discloses an event-assisted unmanned aerial vehicle night precise landing system and method. The system comprises a high-frequency dynamic infrared sign array module, an event camera module, a pose resolving module and a landing control module. The system takes a high-frequency dynamic infrared mark array as a positioning reference, an event camera carried on the unmanned aerial vehicle captures an optical event flow with unique time sequence characteristics by accurately controlling the independent flicker frequency of each infrared light source, then the pose of the unmanned aerial vehicle is calculated by using an N-point perspective method, and finally accurate landing is realized by a landing control module. According to the invention, the event camera and the high-frequency dynamic infrared sign array are innovatively combined, the cooperative working mechanism of the event camera and the high-frequency dynamic infrared sign array is utilized, sub-millisecond-level positioning feedback is realized in a complex environment, the limitation of a traditional static optical sign is broken through, the positioning precision and reliability are improved, and the method is suitable for accurate take-off, landing and positioning of the unmanned aerial vehicle at night and in the complex environment.

The invention relates to a water transmission and distribution dynamic scheduling optimization method, which comprises the following steps that a water transmission and distribution test area is established, the water transmission and distribution test area comprises a test branch pipe, a gas pumping unit and a test user side, and two ends of the test branch pipe are respectively connected with a target water plant and the test user side; performing water hammer disturbance effect analysis on the test branch pipe to obtain a water hammer focus of the test branch pipe; air is pumped into the test branch pipe based on the air pumping unit, and vibration parameters and cutoff parameters of the water hammer focus are obtained through strain vibration monitoring and underwater sound cutoff monitoring; establishing an interference factor modulation unit, and performing interference parameter correction on the vibration parameter and the cutoff parameter based on the interference factor modulation unit to obtain a training parameter; circularly executing the previous step to obtain multiple groups of training data, and constructing and training based on the obtained training data to obtain a filtering matching unit; establishing a water transmission and distribution optimization network in the target pipe network area; and managing and optimizing water supply scheduling in the target pipe network domain based on the water transmission and distribution optimization network.

This invention relates to an efficient intelligent material library retrieval method and system based on multimodal vector fusion, applied in the field of information retrieval technology. The method includes: responding to user queries and displaying a result set; monitoring implicit interaction behaviors to generate behavioral sequence features; determining the target modality of the user's intent through an intent determination network; synchronously performing dynamic weight coordination and incremental index updates based on this; fusing behavioral features and queries to generate a refined query vector; and using the new weights to retrieve the main index and incremental index in parallel, then merging and sorting the results before outputting the final result. The system includes functional modules corresponding to the method, such as an initial retrieval module, a behavior monitoring and feature extraction module, and a real-time intent determination module. This invention achieves real-time personalized retrieval and system self-evolution by analyzing implicit behaviors and utilizing synchronous coordination and incremental indexing mechanisms, thereby improving retrieval accuracy and long-term performance.

The invention provides an epilepsy clinical nursing early warning method and system, and relates to the technical field of medical information processing, the epilepsy clinical nursing early warning method comprises the following steps: obtaining multi-modal physiological signal data of an epilepsy patient, the multi-modal physiological signal data comprising electroencephalogram signal data and limb movement signal data; performing principal component analysis processing on the electroencephalogram signal data to obtain dimensionality-reduced electroencephalogram characteristic data; performing time-frequency decomposition on the dimensionality-reduced electroencephalogram characteristic data to obtain energy distribution of a plurality of frequency bands; calculating an information entropy value based on the energy distribution of the plurality of frequency bands; according to the information entropy and the limb movement signal data, the current state of the epileptic is judged through a decision tree model; determining a corresponding hidden danger level according to the current state and generating early warning information; according to the method, electroencephalogram artifacts are eliminated through principal component analysis, the state of the threatened period is recognized before epileptic seizure, and the problems of early warning lag and unstable response in the prior art are solved.

This utility model discloses a functional testing device for a mechanical massage mechanism component, including a worktable, several load units, a mounting mold, a rotation measuring instrument, and a displacement measuring instrument. The worktable includes an upper plate, a lower plate, and several support columns. The upper and lower ends of the support columns are fixedly connected to the upper and lower plates, respectively. The load unit includes a rotating shaft, a mounting plate, a stop block, and several counterweights. The lower end of the rotating shaft passes through the upper plate and is fixedly connected to the mounting plate. The stop block is installed on the rotating shaft above the upper plate, and the counterweights are sleeved on the rotating shaft above the stop block. The mounting mold includes several upper molds and lower molds. The upper mold is installed at the lower end of the mounting plate, and the lower mold is installed on the lower plate. The lower end of the upper mold is provided with an upper mounting groove, and the upper end of the lower mold is provided with a lower mounting groove. An installation rod is rotatably mounted on the upper end of the rotating shaft. A rotation measuring instrument is mounted on the installation rod. A displacement measuring instrument is mounted on the upper plate above the mounting plate.

The invention discloses an intelligent port and navigation management service integrated platform system. The platform system comprises a port and navigation operation monitoring module, a navigation channel integrated management module, a navigation intelligent transaction module and a port intelligent service module. The port navigation operation monitoring module is used for realizing unified operation monitoring of safety, production, scheduling and operation conditions of subordinate ports, channels, ship locks and logistics parks of the port affair group; the channel comprehensive management module is used for coordinating a channel maintenance project, a channel construction project and a related safety supervision project; the shipping smart transaction is used for optimizing the whole process of shipping transaction by creating a shipping transaction management platform; and the port intelligent service module is used for comprehensively supporting service requests of different business modes and different customer types of each business unit. According to the method, a unified data architecture and a business portal are constructed, cross-link and cross-system data sharing and one-stop operation are supported, and the problem that traditional business systems run independently and are difficult to co-schedule is solved.

This invention discloses a multi-source low-oxygen heat pump device for fruits and vegetables and its usage method, belonging to the field of fruit and vegetable drying technology. The device includes a multi-source gas supply system, a low-oxygen drying chamber, a heat pump temperature and humidity control system, an online weighing system, a material morphology detection system, and an intelligent control system. The multi-source gas supply system injects nitrogen, carbon dioxide, and air. The intelligent control system calculates the drying rate and shrinkage rate based on data from various sensors, dynamically adjusting the gas composition and the temperature and humidity inside the chamber to maintain an oxygen concentration of 1-11%, a temperature of 30-70℃, and a relative humidity of 10-40%. This invention enables precise and coordinated control of the fruit and vegetable drying process, mainly used for drying leafy vegetables and fruits, reducing oxidative deterioration and shrinkage, and improving drying quality.

The invention provides a voltage regulation and control method and device for light-storage-vehicle multi-agent cooperation, and relates to the technical field of power distribution network operation and control. The method comprises the following steps: constructing a secure Markov game model based on a multi-agent collaborative voltage regulation process, the multi-agent comprising a photovoltaic inverter, a battery energy storage system and an electric vehicle cluster in a power distribution network, the secure Markov game model comprises an agent set, a state and observation set, an action set, a secure action set, a secure transfer function and a reward function; constructing a light-storage-vehicle multi-agent decision-making framework, wherein the light-storage-vehicle multi-agent decision-making framework comprises an encoder based on a self-attention mechanism, a strategy network based on encoder driving and an evaluation network based on the encoder; and solving the secure Markov game model by using a light-storage-vehicle multi-agent decision-making architecture to realize a multi-agent collaborative voltage regulation and control strategy. According to the invention, the regulation and control accuracy can be improved.

The invention provides a three-dimensional frequency spectrum prediction method, system and device based on a multi-scale map convolutional network and a medium, and belongs to the technical field of frequency spectrum prediction.The method comprises the steps that receiving power data of multiple frequency points are continuously collected with the resolution of preset duration, three-dimensional tensor data are formed, and a feature matrix is constructed; a learnable parameter matrix of a preset dimension is adopted to transform the feature matrix, a self-adaptive threshold value is set according to the median of scores of all nodes, and a weighted adjacency matrix is generated; performing first-order graph convolution operation and second-order graph convolution operation on the weighted adjacency matrix, and performing feature transformation by adopting a multi-dimensional learnable weight matrix to form multi-dimensional fusion features; and expanding the multi-dimensional fusion features according to a time sequence, constructing a gating mechanism through element multiplication and residual connection, and outputting a prediction result through a linear transformation layer. The accuracy of spectrum prediction is improved, and the model can output a more accurate prediction result when processing spectrum data of a long time sequence.