25results about How to "Accurate update" patented technology

The invention discloses a warehouse management method based on the industrial Internet of Things, and the method comprises the following steps: automatically collecting image data of goods through Internet of Things equipment, taking the image data as goods information, and storing the goods information in a central database for recognition; image data and temperature and humidity data of a warehouse shelf are obtained through Internet of Things equipment to serve as shelf information, and the shelf information is stored in a central database to be recognized; matching is carried out according to the goods information and the goods shelf information, the optimal goods shelf is selected to store goods on the basis of goods types, sizes, storage requirements and storage condition factors, and a unique classification number is distributed to each piece of goods; the goods are stored to the corresponding goods shelf positions according to the distributed classification numbers and the matching results; through automatic and intelligent warehouse management, the operation efficiency of the warehouse and the accuracy of inventory management are improved, and complex storage conditions and dynamically changing inventory requirements can be dealt with, so that the overall efficiency and precision of warehouse management are effectively improved.

The invention relates to the technical field of liquid hydrogen cylinder management, in particular to a liquid hydrogen cylinder tracing management method and system based on RFID tags. Comprising the following steps: firstly, acquiring historical RFID tag information of a liquid hydrogen cylinder; and then, through data clustering and training, an RFID tag information analysis model is established, and classification and anomaly detection technologies are adopted to label abnormal data and optimize the abnormal data. In the model training process, one-hot coding is adopted to label data, sample features are extracted, RFID tag information analysis vectors are generated, and convergence of the model is further achieved by optimizing a loss function. And finally, acquiring RFID information of the current liquid hydrogen cylinder, inputting the RFID information into the optimal analysis model, and generating an analysis result. In addition, according to the method, plan information is combined, a state curve is constructed and matched, and when the prediction result is greatly deviated from the actual value, the RFID tag information is adjusted through a self-adaptive updating mechanism, so that real-time and accurate management is realized.

The invention discloses a tower climbing obstacle identification and positioning method based on machine vision. The method mainly comprises the following steps: S1, acquiring comprehensive environment and obstacle information and monitoring illumination conditions in real time; s2, developing an adaptive illumination compensation algorithm, and dynamically adjusting image processing parameters according to real-time illumination conditions; s3, performing semantic segmentation on the image, identifying different types of obstacles, and taking different countermeasures according to the characteristics of the obstacles; s4, constructing a high-precision real-time positioning system, accurately positioning the identified obstacle, and generating three-dimensional coordinate information of the obstacle; s5, tracking the position change of the obstacle in real time in the tower climbing process, and continuously updating the position information of the obstacle; and S6, designing an intelligent path optimization algorithm, planning a safe tower climbing path, and dynamically adjusting the tower climbing path in the tower climbing process. According to the method, misjudgment caused by insufficient illumination or overexposure is greatly reduced, and the safety of tower climbing operation is improved.

The invention relates to the technical field of fragmentation, and relates to a transaction processing optimization method based on a fragmented block chain. The method comprises the following steps: 1) learning historical transaction data of a hot account by using machine learning; 2) predicting the future transaction quantity of the hot account, and performing account distribution according to a prediction result; 3) the node creates a slave account state for a transaction receiver account whose account state does not exist in the fragment; 4) the node packages and processes the transactions in the transaction pool; and 5) the fragment receives the slave account states sent by other fragments, and executes an account state merging mechanism. According to the method, the transaction processing performance on the fragmented block chain can be well improved.

The invention provides a game score recording method and device, electronic equipment, a computer program product and a computer readable storage medium. The method comprises the steps that a first recording interface for games is displayed, a mode selection control is displayed on the first recording interface, each game comprises multiple rounds of games, the interaction score of each game is obtained by accumulating scores of all players in the multiple rounds of games, and the scores of all players in each round of games are determined and obtained based on the games result; in response to a mode selection instruction triggered based on the mode selection control, displaying a selected mode, in the selected mode, in response to a recording start instruction, displaying an initial score of each game party and a recording control corresponding to the selected mode, the recording control being used for recording the score by taking the initial score as a starting point of the score recording; and recording the score of the game partner in each round of game in the game. According to the method and the device, the score recording efficiency is improved, and the accuracy of the recorded score can be ensured.

The invention discloses a gas concentration detection device for fire prevention in coal mine goaf areas, which relates to the field of environmental detection technology, comprising a cylinder, a side wall of which is provided with an air inlet for introducing air to be detected; an air outlet cylinder, connected to the upper end of the cylinder, and having fan blades rotatably arranged inside the cylinder, the rotation of the fan blades driving the air to enter from the air inlet and flow through the entire device; a funnel-shaped dust collecting cylinder, connected to the lower end of the cylinder, and having a plurality of baffles distributed circumferentially inside the cylinder for preliminarily filtering and blocking dust impurities in the air, so that the purified air enters the cylinder for detection; a dust collecting box, connected to the bottom of the dust collecting cylinder; a plurality of sensor cylinders, evenly distributed circumferentially in the cylinder, each sensor cylinder being provided with a connecting seat, and each connecting seat being installed with a gas semiconductor sensor; the invention can improve the accuracy of gas concentration detection, flexibly adapt to different working conditions, and intelligently clean and maintain.

This application provides a data processing method and electronic device. The device identifies geological information by attribute recognition, determines multiple recognition events, and filters them by confidence level, converting them into data packets carrying adjustment actions. At the same time, it calculates the difference between each data packet and the 3D geological model to determine the transmission method, prioritizing the uploading of key geological changes. After receiving the data packets, the cloud accurately locates them in the corresponding target area in the overall model using spatial anchor points and binds them. However, the bound target area may be associated with multiple data packets with inconsistent update directions. Therefore, it is necessary to construct conflict vectors and determine conflict weights for the data packets corresponding to the target area. Then, based on the adjustment actions of each data packet, the conflict vectors, and the conflict weights, the adjustment method of the target area is determined and a local update is performed. This can obtain accurate and traceable incremental update results for the model, facilitating efficient, accurate, and traceable local updates of the 3D geological model under weak network conditions.

The embodiment of the invention provides a ranking list management method and device, equipment, a storage medium and a product. According to the technical scheme provided by the embodiment of the invention, when the snapshot time point is reached, the first real-time ranking list is determined as the snapshot ranking list of the snapshot time point, copying of the first real-time ranking list is started to obtain the second real-time ranking list, and when copying of the first real-time ranking list is started, the second real-time ranking list is obtained. The method comprises the following steps: acquiring first activity data from a message middleware, determining first list incremental data according to the first activity data, updating an incremental ranking list according to the first list incremental data, and updating a second real-time ranking list according to the incremental ranking list when copying of a first real-time ranking list is completed. The snapshot ranking list and the real-time ranking list can be quickly and accurately constructed and updated, the cache master and slave do not need to be controlled through an operation and maintenance command to execute disconnection and reconnection operations, and the ranking list management effect is effectively improved.

This invention discloses a SAR image classification method and system based on scattering cues and optimal transmission, belonging to the field of synthetic aperture radar image classification technology. The main steps include: thresholding and connected component analysis of the SAR image to extract the coordinates of the image scattering center; generating scattering cues text and cues vector sequences based on the normalized coordinates of the scattering center, obtaining scattering perception text feature vectors and image feature vectors to achieve cross-modal alignment; introducing uniform edge probability to supplement global category constraints, dynamically separating clean and noisy samples; and optimizing model parameters through joint training to achieve robust SAR image classification. This invention, by introducing prior knowledge of the scattering structure unique to SAR images and combining it with the cross-modal capability of a visual-language model, effectively improves the classification accuracy and robustness under noisy label conditions, making it suitable for complex remote sensing scenarios such as disaster monitoring, military reconnaissance, and marine surveillance.

A method for analyzing factors of road bump formation, an electronic device and a storage medium, belonging to the technical field of road engineering. In order to accurately analyze factors affecting road bumps, the present invention includes constructing a data set for rapid identification of road bumps; constructing a basic model, a first auxiliary model, a second auxiliary model and a reinforcement model for rapid identification of road bumps; based on the loss function between the output layers of the basic model, the first auxiliary model, the second auxiliary model and the reinforcement model for rapid identification of road bumps; constructing an inter-layer loss function of the reinforcement model and the basic model for rapid identification of road bumps; then the overall loss function of the rapid identification model of road bumps; improving the obtained rapid identification model of road bumps to obtain a lightweight rapid identification model of road bumps; constructing a digital twin model; and constructing a method for analyzing factors of road bump formation. The present invention can prevent the occurrence of road bumps during the design and construction stages, and effectively plan and execute maintenance work.

The invention provides a risk-adaptive robot hierarchical social navigation method and system, and relates to the technical field of strategy optimization, and the method comprises the steps: determining a speed fluctuation index and an acceleration fluctuation index based on the speed vector data of a pedestrian sample; performing weighted fusion on the speed fluctuation index and the acceleration fluctuation index to obtain an original uncertainty score, performing normalization on the original uncertainty score, and performing linear mapping to a preset unpredictability interval to obtain an unpredictability score; taking the robot state data sample, the pedestrian state data sample and the unpredictability score as input, taking a preset navigation point of the robot, an expected cruising speed of the robot and a prudent coefficient as output, and performing iterative training and optimization on the initial prediction network model in combination with near-end strategy optimization to obtain a target prediction network model; and inputting the current robot state data, the pedestrian state data and the unpredictability score into the target prediction network model, and determining a current navigation strategy.

The application relates to the technical field of battery management, and discloses a battery active balancing system based on a three-stage power electronic switch, which comprises a control end, a topology end and a balancing end that operate cooperatively; when active balancing management of a battery cluster is performed, the electrical and health states of each cell unit are synchronously monitored in real time by establishing a hierarchical digital mirror model, and balancing trigger strategies including threshold trigger strategies, periodic trigger strategies and predictive trigger strategies are preset, so that the system can predict the inconsistency development trend based on the aging model of the battery and the current operating condition, and the balancing is initiated in advance before the performance difference reaches a critical point, the balancing control is changed from passive response to active intervention, the timeliness and foresight of the balancing action are improved, and finally the maintenance of the overall available capacity of the battery cluster and the prolongation of the cycle life are promoted.

The invention discloses a neural electrophysiological spike signal sorting method based on small-batch K-means clustering, and the method comprises the steps: 1, collecting electrophysiological data, and carrying out the preprocessing of the electrophysiological data, so as to eliminate the noise and enhance the signal quality; 2, an optimized clustering algorithm is adopted for small-batch K mean values, a general template is obtained from data, principal component feature extraction is carried out on detected L channels with the nearest peaks based on the general template, and an updated general template is obtained; 3, based on a graph-based clustering algorithm, performing accurate clustering on the updated universal template so as to obtain a learning template; and 4, performing peak detection by using a learning template, and outputting a final peak clustering result in combination with the graph clustering method in the step 3. According to the method, the processing speed and the classification accuracy of the electrophysiological data can be remarkably improved, the neuron activity can be quickly and accurately recognized, an efficient data analysis tool is provided for neuroscience research, the time cost of data processing is remarkably reduced, and the research efficiency is improved.

A method of constructing a multiplied element model and solving a circuit network is provided, the multiplied element comprising a current source at a first side and a voltage source at a second side, the method of constructing a multiplied element model comprising: determining a state variable, the state variables comprise node voltages of a first type of elements and a second type of elements and currents flowing through the second type of elements, the first type of elements are other elements except a voltage source in the multiplying elements, and the second type of elements are the voltage source in the multiplying elements; and constructing a multiplication element model based on the state variable and a nodal analysis method.

The present application provides a data set updating method, device, electronic device and storage medium, which relates to the field of video image processing technology. The method includes: reading the acquired video data to obtain a specified frame image and a corresponding data set; detecting the specified frame image to determine the target detection information contained in the specified frame image; and updating the data set according to the target detection information. The present application detects the specified frame image in the video data, and can update the video data set based on the target detection information corresponding to one or more targets in the detected specified frame image, so as to improve the efficiency of data set updating, improve the quality of data set, accelerate the generation and iteration of deep learning models based on the optimized data set, improve the training and evaluation quality of deep learning models, and improve the precision and accuracy of target detection and recognition.

The invention relates to a battery state prediction method and device, a storage medium, a battery and a vehicle, and the method comprises the steps: carrying out the updating of different battery state parameters based on different updating frequencies, and predicting the state of the battery based on the updated battery state parameters, the battery state parameters comprise at least two of charge state parameters, battery model parameters and capacity parameters. According to the method and the device, updating requirements of different battery state parameters can be better adapted, so that the updated battery state parameters can be more accurately used for updating the battery state parameters.

The invention provides an intelligent driving edge computing resource collaborative configuration method and system for an intelligent networked automobile, and the method comprises the following steps: minimizing the total time delay of all vehicles receiving signals and completing a computing task as an optimization target; the transmitting power, the transmission rate, the channel, the vehicle moving speed, the sensing precision, the energy consumption and the local computing resources are used as constraint conditions, a Markov decision process is constructed to solve the Markov decision process, an improved TD3 algorithm is used to solve a model problem, and the optimal transmitting power and computing resource allocation strategy of the roadside unit is obtained. According to the method, the transmitting power and the computing resources of the vehicles are reasonably allocated, and the total time delay of resource allocation is minimized.

The invention relates to updating annotation points in digital images. A mechanism for updating coordinates of annotation points in digital images due to camera movement is provided. A method performed by an image processing device. The method comprises obtaining a current digital image of a scene. The current digital image has been captured by a camera after movement of the camera relative to the scene. The current digital image is associated with at least one annotation point. Each of the at least one annotation point has a respective coordinate in the current digital image. The method comprises identifying a movement amount by comparing location indication information in the current digital image with location indication information in a previous digital image of the scene. The previous digital image has been captured before the movement of the camera. The method comprises updating the coordinate of each of the at least one annotation point in accordance with the identified movement amount and a camera homography.

The invention belongs to but is not limited to the technical field of harmonic detection, and particularly relates to a harmonic detection method, system equipment and terminal based on a dung beetle optimization algorithm, in order to obtain high-precision harmonic parameters, sampled data are firstly analyzed through discrete Fourier transform (DFT) and then are processed through the dung beetle optimization algorithm, and the harmonic parameters are obtained. A discrete Fourier transform (DFT) Fourier analysis method is the most basic method for signal analysis, Fourier transform is the core of Fourier analysis, signals are transformed from a time domain to a frequency domain through the Fourier transform, and then the frequency spectrum structure and the change rule of the signals are researched. B, judging whether inter-harmonics exist or not; and C, updating the harmonic amplitude, frequency and phase by adopting a dung beetle algorithm. The waveform reconstructed by the algorithm is basically consistent with the original waveform, and the algorithm has the characteristics of high precision and rapid convergence.

The invention provides a steel-making Gantt chart plan intelligent updating method and system based on a time calculation model. The method comprises the steps of obtaining a current steel-making Gantt chart plan; judging whether the steelmaking Gantt chart plan is in an editing state or not, if yes, only inquiring actual performance information of a database, and updating information of an actual performance part according to the actual performance information; if not, overall updating is carried out during updating, the actual performance part is updated and displayed according to actual performance information, and the plan part carries out plan information updating and displaying through the time calculation model. The steelmaking Gantt chart plan is updated in real time by adopting the time calculation model, and the response speed of the plan under the dynamic abnormal condition is increased.

A method for evaluating the state of pavement spalling, an electronic device and a storage medium belong to the technical field of pavement disease detection. In order to timely discover and repair pavement damage, the present invention constructs a basic model and an enhanced model for pavement spalling identification; constructs an output layer loss function of the basic model and the enhanced model in the mathematical model for pavement spalling identification; constructs an inter-layer loss function of the basic model and the enhanced model in the mathematical model for pavement spalling identification; uses a data set to train the mathematical model for pavement spalling identification, obtains the trained mathematical model for pavement spalling identification, performs digital twin modeling, and obtains a digital twin model for pavement spalling identification; evaluates the state of pavement spalling according to the geometric characteristics of the spalling area, the speed of geometric feature change, the material and structural characteristics, the load characteristics, the environmental conditions, the maintenance and historical records, and the remaining service life indicators. The present invention realizes rapid and accurate identification of pavement spalling.

The invention relates to a method for constructing a road wave rapid identification model, an electronic device and a storage medium, and belongs to the technical field of road engineering. In order to solve the problem of rapid intelligent identification of road wave diseases, the invention includes collecting road images for compression processing to obtain compressed road images; labeling to obtain a data set of a road wave rapid identification model; constructing a basic model, a first auxiliary model, a second auxiliary model and an enhanced model for rapid identification of road waves; constructing a loss function between the basic model, the first auxiliary model, the second auxiliary model and the output layer of the enhanced model for rapid identification of road waves, constructing an overall loss function, and then constructing a model optimization method based on the overall loss function, and enhancing and improving the optimized basic model obtained through training to obtain a final road wave rapid identification model; constructing a digital twin model based on the final road wave rapid identification model for updating road wave diseases. The invention improves road safety.

The invention belongs to but not limited to the technical field of information technology service, and discloses a house building data updating method and system based on sampled data, and the method comprises the steps: classifying villages and towns in a region through analyzing the relation between regional house building data and local population, economy and other data, and coding each type of villages and towns; performing layered sampling investigation on house building data in the region by combining town classification in the region; the house building area data is divided into urban resident per capita housing area, agricultural resident per capita housing area and public building area, and the three building areas of each type of villages and towns are determined according to the sampling data; according to the village and town population data obtained every year, town population Pv1, agricultural population Pv2 and total population Pv, calculating to obtain the building area of each village and town house; and sorting out the percentage of the building area of each structure type of houses in each type of villages and towns according to the sampling data, and obtaining the building area data of each type of houses in villages and towns by combining the calculated building area of each type of houses in villages and towns.

The invention discloses a display screen parameter updating method, device and system, electronic equipment and a storage medium, and the method comprises the steps that a distribution server receives target display screen parameters and a configuration file, the target display screen parameters and the configuration file are sent by a manufacturer terminal, a target display screen terminal is determined according to the configuration file, and the target display screen terminal is updated according to the configuration file; the target display screen parameter is sent to the target display screen terminal, and when the target display screen terminal receives the target display screen parameter, the target display screen parameter is adopted to update the local display screen parameter of the target display screen terminal, so that a manufacturer can remotely update the display screen parameter of the factory display screen terminal through a network; and the range of the updated display screen terminal is configured through the configuration file, so that the requirement of a manufacturer for accurately updating better display screen parameters to the display screen terminal in a specified range is met, and the picture display performance of the display screen terminal is improved.

The present invention relates to the technical field of power failure analysis, and discloses a power failure analysis system and method based on a dual-mode communication module, comprising: recording the power consumption information of a user through an electric meter, collecting the historical power consumption data of all electric devices in the user's house, generating a reasonable interval for each device, monitoring the power consumption of the electric meter in real time through the dual-mode communication module, judging the operating status of the electric meter, and if the power consumption of the electric meter changes, obtaining the continuous use time of the corresponding electrical appliance and comparing it with the reasonable interval; if the continuous use time is not within the reasonable interval, the data will be recorded as abnormal, and the system will judge whether to issue an early warning reminder and a fault alarm based on the abnormal data; by recording the abnormal data in different sets respectively, and dynamically adjusting the reasonable interval of the electric device based on the data of these sets.