63results about How to "Accurate update" patented technology

The invention discloses a fire-proof gas concentration detection device for a coal mine goaf, and relates to the technical field of environment detection, the fire-proof gas concentration detection device comprises a cylinder, the side wall of which is provided with an air inlet for introducing to-be-detected air; the air outlet cylinder is connected to the upper end of the cylinder body, fan blades are rotationally arranged in the air outlet cylinder, and rotation of the fan blades drives air to enter from the air inlet and flow through the whole device; the funnel-shaped dust collection cylinder is connected to the lower end of the cylinder body, and a plurality of separation blades are distributed on the inner circumference of the funnel-shaped dust collection cylinder and used for preliminarily filtering and blocking dust impurities in the air, so that the purified air enters the cylinder body to be detected; the dust collection box is connected to the bottom of the dust collection barrel; the plurality of sensor cylinders are uniformly distributed on the inner circumference of the cylinder body, a connecting seat is arranged in each sensor cylinder, and a gas semiconductor sensor is mounted on each connecting seat; the device can improve the precision of gas concentration detection, flexibly adapt to different working conditions and realize intelligent cleaning and maintenance.

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 discloses an automatic updating method and device for metadata of a scientific data set, electronic equipment and a storage medium. The method comprises the steps that a scientific data set portrait is constructed according to information submitted by a data producer, user behavior group image features are extracted according to user data interaction behavior records associated with a scientific data set, and scientific data set sharing use features are extracted according to scientific data set sharing use records; generating a feature change index based on the user behavior group image feature and the sharing use feature, performing variable difference analysis based on the feature change index and the corresponding scientific data set portrait, generating a metadata update demand index and generating a metadata update trigger condition, and automatically updating the metadata when the metadata update trigger condition is met. Through an automatic metadata updating mechanism, in combination with scientific data set portrait construction, user behavior group image feature extraction and shared use feature analysis, the intelligent level and the use efficiency of data management are 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 pavement peeling state evaluation method, electronic equipment and a storage medium, and belongs to the technical field of pavement disease detection. In order to find and repair pavement damage in time, a basic model and a strengthening model for pavement peeling identification are constructed; constructing an output layer loss function of the basic model and the strengthening model in the mathematical model for pavement peeling identification; constructing an interlayer loss function of the basic model and the strengthening model in the mathematical model for pavement peeling identification; using the data set to train a mathematical model used for pavement peeling identification, and performing digital twin modeling on the trained mathematical model used for pavement peeling identification to obtain a digital twin model used for pavement peeling identification; and evaluating the pavement peeling state according to the geometrical characteristics, the geometrical characteristic change speed, the material and structure characteristics, the load characteristics, the environmental conditions, the maintenance and historical records and the residual service life index of the peeling area. According to the invention, rapid and accurate identification of pavement peeling is realized.

The embodiment of the invention provides a satellite ephemeris updating method and device and spaceborne equipment, and relates to the technical field of aerospace, and the method comprises the steps: obtaining the current position and current space environment parameters of a satellite; searching a grid adjacent to the current position from the plurality of grids, wherein the grid is associated with the position, the space environment parameter interval and the atmospheric density; predicting the atmospheric density of the orbit where the satellite is located by using the position, the space environment parameter interval and the atmospheric density associated with the adjacent grids, the current position and the current space environment parameters; and updating the ephemeris of the satellite by using the predicted atmospheric density. By applying the technical scheme provided by the embodiment of the invention, the prediction precision of the atmospheric density can be improved and the satellite ephemeris prediction precision can be improved under the condition that the computing power and storage of satellite-borne equipment are limited.

The invention relates to the technical field of vaccine dynamic evaluation and early warning, in particular to a method for constructing a vaccine dynamic evaluation and early warning model based on multi-source data. The method comprises the following steps: acquiring multi-source clinical medical data of a vaccinator through a medical management system, and carrying out time sequence sorting processing on the data to form a sorted data set; and then, in combination with vaccine adverse reaction prompt data, analyzing the delay influence of the vaccination abnormal reaction, evaluating the abnormal reaction delay difference of individuals, and identifying susceptible population. And based on a support vector machine algorithm, constructing a vaccine risk dynamic early warning model for identifying vaccination reaction risk factors, and feeding back a result to the terminal. Finally, vaccine risk dynamic early warning firmware is designed and embedded into a medical management system, and dynamic evaluation and early warning after vaccination are achieved. According to the method, the vaccine dynamic evaluation and early warning technology is optimized, so that the vaccine dynamic evaluation and early warning technology is more perfect.

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 discloses a cipher machine key smooth transition system based on a time window, and relates to the technical field of key distribution. Firstly, relevant operation data of the cipher machine are collected, time window parameters of key smooth transition of the cipher machine are obtained through analysis, whether the time window parameters of key smooth transition of the cipher machine need to be adjusted or not can be assessed, and the time window parameters are optimized and adjusted. The condition that the performance of the cipher machine is reduced due to improper key transition can be reduced, then the key transition process of the cipher machine is analyzed, the security of the key can be evaluated, and the key needing to be updated in advance can be found as early as possible, so that the key is updated before being possibly leaked, and the security of the cipher machine is improved. And finally, analyzing to obtain a key smooth updating result of the cipher machine, and updating the key according to the key smooth updating result of the cipher machine, so that the security of the cipher machine in the whole key life cycle can be improved, and security vulnerabilities caused by non-compliance of key updating are reduced.

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 key point prediction model training method and device, a video generation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring audio features of a sample video and a first face key point set of a target object in the sample video; performing jitter removal processing on the first face key points in the first face key point set to obtain a second face key point set; performing key point prediction on the target object based on the audio features through a key point prediction model to obtain a third face key point set; determining a loss value of the key point prediction model based on the second face key point set and the third face key point set; and performing model parameter updating on the key point prediction model based on the loss value to obtain an updated key point prediction model. According to the application, the model performance of the key point prediction model can be improved.

The present invention discloses a cost map generation method, a mobile robot, a storage medium and an electronic device, and the method comprises the following steps: a. Obtain obstacle information sensed by an upward depth sensor, a downward depth sensor and a laser radar, and pre-process the obstacle information to realize modeling; b. Update the information within the field of view of the upward depth sensor, the downward depth sensor and the laser radar, and retain the information outside the field of view; c. Project the upward depth sensor, the downward depth sensor and the laser radar point cloud into a map, then mark the corresponding grids, and perform a unified expansion process. The present invention improves the accuracy and reliability of obstacle detection by real-time fusion of multiple sensor data, including the upward depth sensor, the downward depth sensor and the laser radar. The present invention effectively manages data and improves computing efficiency by pre-processing and updating information inside and outside the sensor field of view.

The invention discloses a data updating method and device, computer equipment, a storage medium and a program product. According to the data updating method and device, service data of an application can be obtained from an application database; performing data structure conversion on the business data to obtain control group data; obtaining target data from a third-party database or a to-be-updated database according to the data attribute of the control group data, and constructing experimental group data according to the target data; and performing data comparison on the experimental group data and the control group data, and updating the database to be updated according to a comparison result, so that the accuracy of data updating is improved.

The invention discloses a 4G wine vending machine control system, and particularly relates to the technical field of vending equipment, and the system comprises a user interaction and experience module which is used for optimizing the sense of participation of a user through multi-channel interaction and real-time feedback, and a comprehensive wine management module which is used for guaranteeing the safety of wine, timely supply and optimization of a replenishment process. According to the system, wine selection and purchase are easily completed by entering an applet through a touch screen or two-dimensional code scanning, the system supports voice instruction input to simplify the operation process, personalized advertisement display and real-time feedback are provided at the same time, the sense of participation of users is enhanced, in the aspect of wine management, the system monitors inventory and low-temperature refrigeration storage conditions in real time, and the management efficiency is improved. A timing self-cleaning function of a wine outlet pipeline and an automatic identification technology ensure accurate updating of wine information, prompt timely replenishment when the inventory is lower than a threshold value and ensure efficient operation of a supply chain, and a comprehensive data analysis module effectively supports marketing strategy optimization and distribution commission calculation, so that the marketing efficiency is improved. The whole system realizes an intelligent and automatic operation mode through 4G network connection.

The present disclosure relates to the field of computers, and specifically to a method and device for updating the view color of an application interface, a computer-readable storage medium, and an electronic device. The method comprises: obtaining view data of an application interface and a first color value corresponding to the view data, wherein the application comprises a color function; obtaining a color conversion instruction, and inserting a color value conversion function before the color function according to the color conversion instruction; converting the first color value according to the color value conversion function to obtain a second color value; the color function updates the color of the view according to the second color value; and through the technical solution of the embodiment of the present disclosure, the view color value can be updated quickly and accurately.

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 relates to a battery life prediction method, device and equipment based on battery data intelligent analysis. The method comprises the following steps: acquiring the capacity retention rate of a battery at the end of the previous day; obtaining the current day use record of the battery; inputting the current day use record into the capacity attenuation learning model, outputting the current day capacity loss rate of the battery, and adding the current day capacity loss rate to the last record in the capacity loss rate form; according to the capacity retention rate at the end of the previous day and the capacity loss rate of the day, obtaining the capacity retention rate at the end of the day, and adding the capacity retention rate to the last record in the capacity retention rate form; and extracting a preset number of capacity loss rate records from the last record in the capacity loss rate form, and calculating a stage average capacity loss rate so as to correct the estimated residual life of the battery. According to the invention, the real-time acquisition and accurate analysis of the battery data are realized, and the residual life can be continuously and accurately updated and estimated in the use process of the battery.

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 present invention proposes a method, system, device and storage medium for modifying part information based on CAE, wherein the method includes: using CAE analysis pre-processing software to import a CAE model whose part information needs to be modified; calling a part information modification data table, wherein the part information modification data table includes the identification ID of each part, the modified first thickness value and the modified first material information; selecting an ID from the part information modification data table as the ID of the target part whose part information needs to be modified; locating the target part in the CAE model according to the ID of the target part; and modifying the thickness value and material information of the target part in the CAE model using the first thickness value and the first material information corresponding to the ID of the target part. Therefore, the method for modifying part information based on CAE in the embodiment of the present invention realizes the automatic modification of part thickness value and material information, greatly shortens the modification time, and at the same time, reduces the probability of error, and ensures accurate modification and updating.

The invention provides an intelligent device and a logistics asset management system, the intelligent device is installed on a transportation container, and the intelligent device comprises a microcontroller module, a communication module, a data acquisition module, a positioning module, an RFID electronic tag and a radio frequency read-write module. Wherein the positioning module and the communication module can be used for positioning and supervising the transportation container in transportation and distribution links. The safety supervision of the transportation container (including loaded articles) is realized through the data acquisition module and the communication module. Through interaction between the RFID electronic tag and the radio frequency read-write device arranged in the target area, the microcontroller module can control the radio frequency read-write module to update the positioning information of the intelligent equipment, so that accurate positioning supervision after the transportation container enters the target area can be realized, and production processing management can be assisted and guided. And meanwhile, after entering a target area (such as a factory), the information of the environment where the transportation container (including the loaded articles) is located in each processing procedure can be monitored, so that safe processing management is realized.

The invention discloses an online car-hailing driving route changing method, an operation management method, a user side and a system, and the method comprises the steps: obtaining and storing offline map data in the user side according to the information of a departure place and a destination; in response to an order confirmation operation of the driver side, receiving and storing a temporary communication protocol for establishing wireless communication connection with the driver side; monitoring a user destination change request and a network communication state; if the user destination change request and the network communication state are monitored to be good, sending changed destination information or navigation information to a system end; if the destination change request of the user is monitored and the network communication state is not good, the wireless communication connection with the driver side is activated according to the operation of the user, the changed destination information or the generated navigation information is sent to the driver side, the operation of the driver is not needed, and the influence on the normal driving of the driver due to the change of the destination or the navigation route is avoided.

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 embodiment of the present application provides an image alignment method, device, electronic device and storage medium, the method comprising: repeatedly performing a training operation until the training of the image alignment network is completed, the training operation comprising: inputting a training image into the image alignment network to obtain a predicted aligned image output by the image alignment network; calculating the edge feature loss between the predicted aligned image and the target image based on the edge feature information obtained of the predicted aligned image and the edge feature information obtained of the target image; updating the parameter value of the image alignment network based on the edge feature loss; inputting the image to be processed into the image alignment network to obtain an aligned image output by the image alignment network. The accuracy of the image alignment network after training is improved, and accordingly, the alignment effect of the aligned image obtained by using the image alignment network after training is improved.

The present application relates to a device status update method, apparatus, computer equipment and storage medium. The method is applied to a multimedia session device, and includes: establishing a long connection between a locally running first application and a server, and maintaining a communication status with the server through the long connection; if the long connection is in an invalid state, disconnecting the long connection and re-establishing a new long connection; in the process of re-establishing a new long connection, starting short connection polling to maintain the communication status with the server until a valid long connection is re-established; in the process of maintaining the communication status, if a user account belonging to the second application is bound to a device account belonging to the first application, receiving an operation result obtained by an operation on the device account triggered by the user account and fed back by the server; and updating the device status of the electronic device based on the operation result. The use of this method can reduce the load on the background.

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.