111results about How to "Improve immediacy" patented technology

The invention provides an image rendering method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating a distance between a virtual image obtaining device and a to-be-rendered object through determining the to-be-rendered object in a to-be-rendered scene, and determining the distance as a first loading factor; determining a rendering picture pixel proportion of each to-be-rendered object based on preset view cone size information, determining the rendering picture pixel proportion as a second loading factor, generating a rendering loading priority sequence according to the first loading factor, and determining a model level resource file and a texture level resource file according to the second loading factor, loading the resources to a video memory for rendering according to the sequence; the priority is determined by calculating the distance between the camera and the to-be-rendered object, it is ensured that a high-quality model and texture of a close-range object are loaded preferentially, the instantaneity of the rendering loading process is improved, texture and model grade division is conducted through the pixel proportion of the to-be-rendered object in the picture, and the rendering efficiency is improved. The occupation of a video memory is reduced, and the overall rendering performance of the system is improved.

The invention discloses a multi-task intelligent coordination execution method and system based on a pension accompanying robot, and belongs to the technical field of multi-task intelligent coordination execution, and the method comprises the steps: S1, carrying out the initialization of the system according to a current environment and preset parameters; s2, collecting information of the user and the surrounding environment thereof through an integrated sensor; s3, performing fusion analysis processing according to the collected information, predicting the behavior trend of the user, identifying the current demand of the user according to a data analysis result and a prediction result, and automatically generating a task; by integrating advanced data fusion, behavior pattern recognition and prediction, demand recognition and task evaluation, the intelligent level and service quality of the system are remarkably improved, and more accurate behavior pattern recognition and trend prediction are realized through membership function and sliding window prediction; and in combination with the behavior pattern and the trend prediction result, tasks meeting user requirements are generated, and priorities are set through a multi-dimensional evaluation model, so that the efficiency and rationality of task execution are ensured.

The invention discloses an intelligent property safety management platform based on data analysis, and relates to the technical field of data management, and the platform comprises the steps: collecting property monitoring equipment, and constructing a monitoring data network; obtaining a property sample database, and determining a security event level and data relevance; constructing a training data set to obtain a security analysis decision model; establishing mapping association between the monitoring data and the security events, and segmenting a plurality of monitoring data blocks; obtaining a security identification event; and generating safety early warning information based on the matching early warning mode. The technical problems of incomplete property safety management coverage, low management efficiency and hysteresis of safety early warning caused by difficulty in coping with complex and changeable property management requirements and lack of deep integration and analysis capability on massive real-time monitoring data in existing property safety management are solved, intelligent monitoring management of property safety is realized, and the property safety management efficiency is improved. The technical effect of improving real-time performance and accuracy of property safety early warning is achieved.

The invention discloses a circuit breaker anti-tripping function test method and system, and belongs to the field of power system protection and control, and the test method specifically comprises the following steps: I, extracting circuit breaker data, and constructing an anti-tripping function map through a relation analysis technology; according to the method, the model optimization efficiency is improved, the local optimization problem is avoided, the model can make more accurate response to the state change of the circuit breaker under the actual operation condition, the flexibility and instantaneity of a test system are improved, the sample representativeness is optimized, the anti-tripping test effect is more reliable, the data processing cost is reduced, and the data processing time is shortened. According to the method, errors caused by human intervention are reduced, the intelligent level of a test process is improved, hysteresis of static assessment can be avoided, misjudgment caused by a single factor is reduced, the accuracy of health assessment is improved, the risk management and control capability of the system is enhanced, the possibility of fault occurrence is reduced, and the overall stability of the power system is improved.

The invention provides a highway unmanned aerial vehicle autonomous inspection method and system, and relates to the technical field of data processing, and the method comprises the steps: receiving a preset inspection path from an inspection starting point to an inspection terminal point; unmanned aerial vehicle sensor information and unmanned aerial vehicle angular velocity information in the inspection process are collected; when an obstacle is detected by the unmanned aerial vehicle sensor information, obstacle avoidance is carried out, and otherwise, whether yawing is carried out or not is detected; generating an obstacle avoidance direction based on a potential field principle, and performing obstacle avoidance according to the obstacle avoidance direction; calculating a yaw angle of the unmanned aerial vehicle according to the angular velocity information of the unmanned aerial vehicle, and judging whether to yaw based on the yaw angle of the unmanned aerial vehicle; correcting the course of the unmanned aerial vehicle according to the yaw angle, and performing inspection along the adjusted course of the unmanned aerial vehicle; collecting real-time video frames of the expressway; constructing a highway abnormal scene recognition model, and outputting an abnormal scene; and uploading the abnormal scene to the holder, and sending out an abnormal prompt. The autonomous inspection efficiency and inspection precision are improved, and the manual intervention frequency and deployment cost are reduced.

The invention discloses an obstacle avoidance method and system for a medical displacement machine, and the method comprises the steps: collecting and processing static and dynamic obstacle information in an environment, and obtaining first precise obstacle information; classifying the first accurate obstacle information through a convolutional neural network, and recording a first dynamic motion track; learning a dynamic obstacle motion mode by using a recurrent neural network, and outputting a predicted dynamic obstacle trajectory; a static path planning algorithm is adopted on a known map, and a preliminary path from a starting point to a target point is found in combination with the predicted dynamic obstacle trajectory; when it is detected that the moving direction or speed change of the dynamic obstacle is second accurate obstacle information, the second accurate obstacle information is used for outputting and updating the dynamic obstacle track; and outputting an obstacle avoidance path according to the updated dynamic obstacle trajectory. When the moving direction or speed change of the dynamic obstacle is detected, new obstacle information is immediately used to update the trajectory of the dynamic obstacle, and the path is re-planned, so that the real-time performance and effectiveness of obstacle avoidance are ensured.

The invention relates to the technical field of smart classroom supervision, and particularly discloses a smart classroom remote monitoring method and system, and the method comprises the steps: analyzing the state of a smart classroom remote monitoring communication link, judging whether the state of the smart classroom remote monitoring communication link is qualified or not, analyzing the basic information of a smart classroom, and judging whether the state of the smart classroom remote monitoring communication link is qualified or not; comparing to obtain an intelligent classroom remote monitoring scheme, analyzing a classroom teaching state, judging whether the classroom teaching state is qualified or not, analyzing a classroom audio state, judging whether the classroom audio state is qualified or not, analyzing a classroom student learning behavior state, and judging whether the classroom student learning behavior state is qualified or not; according to the invention, the problem that the traditional teaching mode usually depends on homework and examination after class to evaluate the learning effect of students and subjective judgment of teachers and lacks timely learning state feedback is solved, the instantaneity and effectiveness of classroom teaching are improved, and the improvement of the overall teaching quality is promoted.

The invention relates to the technical field of privacy protection, in particular to a privacy data protection method and device, a vehicle and a medium, and the method comprises the steps: obtaining a switching instruction of a user for a full privacy mode; according to the switching instruction, the vehicle is controlled to disconnect a target uploading channel with the cloud, so that the vehicle enters a full privacy mode, and the target uploading channel is used for uploading privacy data of the user; and the privacy data of the user is protected by using a full privacy mode. Therefore, the problems that in the prior art, the cloud data uploading leakage risk exists, and cloud data deletion is not instant are solved.

The invention provides an interactive guest playing interaction method based on intelligent glasses, and belongs to the technical field of interaction between intelligent equipment and guest playing, and the method comprises the steps: responding to the received first interaction information, generating first text information based on the first interaction information, and sending the first text information to second equipment, the first text information is used for indicating the second equipment to generate first broadcast text information matched with the first text information based on the target AI large model; and in response to the received first broadcaster text information sent by the second equipment, converting the first broadcaster text information into first broadcaster voice information, and playing the first broadcaster voice information. According to the interactive guest broadcasting interaction method based on the intelligent glasses, the interactivity and individuation can be improved, and the requirement of a user for obtaining specific information in real time is met.

The invention provides a dialogue state display method and device, equipment and a readable storage medium, and the method enables a large model to gradually return response dialogue segments in a streaming manner through the real-time interaction of a streaming interface and the large model, and achieves the dialogue state display in combination with a detection strategy of sentence ending characters in the received response dialogue segments. A complete dialogue sentence can be sent to a client in time, it is ensured that a user can check part of response content in time, meanwhile, whether follow-up dialogue fragments to be returned exist after the complete dialogue sentence sent in time can be accurately recognized, and the user is informed of the progress of a current large model responding to a dialogue in time through state prompt. And the uncertainty and anxiety of the user are effectively relieved while the conversation instantaneity is ensured.

The embodiment of the invention provides a model illusion detection method and device, electronic equipment and a storage medium, and belongs to the technical field of text processing and artificial intelligence. The method comprises the steps of obtaining an original text generated by a target model; performing named entity recognition on the original text to obtain a target entity phrase; position query is carried out on the target entity phrase to obtain a position probability, and the position probability represents the probability that any position in the original text is the target entity phrase; based on the position probability, performing illusion scoring on the original text to obtain a text illusion score; on the basis of the text illusion score and the original text, illusion detection is conducted on the target model, a model illusion detection result is obtained, and the model illusion detection result shows that illusion exists or does not exist in the text generated by the target model. According to the embodiment of the invention, the model illusion detection efficiency can be improved.

This invention discloses an artificial intelligence-based method and system for the inspection and control of power distribution networks using unmanned aerial vehicles (UAVs). Relating to the field of UAV power inspection technology, the method includes: adjusting the UAV's pose in real time based on target perception feedback during the inspection process to actively align with the target and acquire images of power components; uploading valid images from the selected images to a cloud-based management platform; identifying power component entities in the selected images and constructing a spatial semantic graph based on the spatial distribution relationships between components; performing topological logic reasoning and feature consistency analysis on the spatial semantic graph to identify abnormal component states and determine the power logic attributes of faulty components; generating maintenance instructions based on the identified abnormal states and power logic attributes and pushing them to the terminal. This invention addresses the problems of high redundancy in original images, insufficient physical positioning accuracy leading to ambiguity in component logical identity identification, and difficulty in identifying long-tail atypical hidden dangers during power distribution network inspection.

The invention belongs to the technical field of pipeline defect marking, and particularly relates to a laser marker suitable for internal positioning of a pressure pipeline and a marking method of the laser marker. The device mainly comprises a laser lamp, the laser lamp is arranged on a laser lamp guide rail, a wireless control assembly is arranged on the laser lamp guide rail, and the laser lamp is connected with the wireless control assembly. The laser lamp is placed below the welding position of the pressure pipeline, and the laser lamp is controlled by the wireless control assembly to move along the laser lamp guide rail, so that the laser lamp can project all positions of a pipeline welding seam and record the initial position of a defect on the welding seam. Wherein the laser lamp can excite light rays with different colors according to different circumferential welds and longitudinal welds. According to the marker and the marking method, point location data are recorded in a laser projection mode, and the marker and the marking method have the advantages that data are accurate, multiple point locations are recorded, and recorded data are not affected by working conditions of the pressure steel pipe. And for the pressure steel pipe with the diameter of more than 3m, the working procedure of building a scaffold can be omitted.

The invention provides an image fusion method and device, electronic equipment and a storage medium, and the method is applied to the field of computer images, and comprises the steps: carrying out the pixel sampling of an initial insertion image, and obtaining a primary color channel value of each pixel point in the initial insertion image; determining a color parameter of each pixel point; determining the spatial dispersion degree of each pixel point; determining a reference pixel point in each pixel point based on the color parameter and the spatial dispersion degree; based on the chromaticity difference between each pixel point and the reference pixel point, determining a background pixel point and a foreground pixel point in each pixel point; correcting the transparency of the background pixel points to target transparency, and generating a target insertion image based on the background pixel points with the target transparency and the foreground pixel points; and inserting the target insertion image into the preset insertion position of the target image, thereby improving the adaptability and instantaneity of image fusion.

The invention relates to a panic behavior recognition method and system based on a panic semantic model, and a medium. The method comprises the following steps: calling an AI interface, recognizing an audio stream as semantic information in real time, performing hierarchical division through the semantic information and a basic concept, and recognizing key phrases; according to the positioning coordinate matrix, determining a specific level and a position of each key phrase; according to the specific hierarchy and position, using the description matrix to obtain the weight of the key phrase, carrying out consistency matching on the panic degree in the scene, and judging whether a panic behavior occurs or not; the panic semantic reasoning network model is constructed by the following steps: selecting a panic scene as a description object; defining a basic concept in the selected panic scene by using a network ontology language; supplementing knowledge elements in a panic scene to perfect a panic semantic model; and defining an inference rule, and constructing a panic semantic inference network model. Compared with the prior art, the accuracy of pedestrian panic behavior recognition is improved.

The invention discloses a marine environment monitoring and early warning method and system based on big data, and relates to the technical field of marine environment monitoring, and the method comprises the steps: collecting environmental data in real time through a sensor in a monitoring station, and transmitting the environmental data to a database; acquiring the position information of each monitoring station by using a positioning technology, and calculating the distance between the randomly selected reference monitoring station and the corresponding comparison monitoring station; analyzing the change trend of the environment data, and determining the propagation speed of the abnormal environment data based on an analysis result; calculating the arrival time of the abnormal environment data propagated from the reference monitoring station to the comparison monitoring station by using a linear propagation algorithm in combination with the distance and the propagation speed; and setting alarm starting time according to the arrival time, and issuing alarm information. According to the invention, the real-time monitoring and data collection of the marine environment are realized through the deployment of the monitoring stations and the integrated sensor technology, and a comprehensive and accurate information basis is provided for subsequent data analysis and early warning.

The embodiment of the invention discloses an information display control method and device, equipment and a medium. The method comprises the following steps: acquiring current driving behavior information and current driving road condition information of a target vehicle, wherein the current driving road condition information comprises current driving information of the target vehicle and current driving information of vehicles around the target vehicle; based on the current driving behavior information and the current driving information, detecting whether the target vehicle has a target driving behavior at present; if yes, key driving information used for influencing the target driving behavior is determined based on the current driving information of the target vehicle and the current driving information of the surrounding vehicles; and displaying the key driving information in the head-up display interface, wherein the display mode of the key driving information is different from the display mode of the non-key driving information. Through the technical scheme of the embodiment of the invention, the distinguished display of the vehicle information can be realized, so that the efficiency and the quality of acquiring the information by a driver are improved, and the instantaneity and the safety of driving behavior response are further improved.

The present invention relates to the technical field of electronic digital data processing, and discloses a method and system for designing an interactive interface of a MINI PC product with an integrated touch panel, the method comprising: sensing the finger-interface distance between a user's finger and the integrated touch panel; calculating the touch success rate of the user's finger, and determining the interface size of the interactive interface in the integrated touch panel; identifying the user's finger's touch habit from the user's touch data, and using the user's touch habit to count the effective interface layout of the interactive interface from the interface layout data; analyzing the user's finger's layout requirements for the interactive interface, and using the user's touch habit to count the effective interface color of the interactive interface from the interface color data, and analyzing the user's finger's color requirements for the interactive interface according to the user's touch habit and the effective interface color; and designing the interactive interface for the MINI PC product with an integrated touch panel. The present invention can improve the immediacy of the interactive interface design of the MINI PC product with an integrated touch panel.

The invention discloses a vault door capable of preventing illegal prying, and relates to the technical field of vault protective doors, the vault door comprises an embedded frame, a vault door body and a locking module, the vault door body is hinged to the embedded frame through one side wall, the locking module is fixedly connected with the vault door body, the locking module is embedded in the embedded frame, and the vault door further comprises a monitoring feedback assembly and a resistance adding assembly, the monitoring feedback assembly and the resistance adding assembly are located on the same vertical plane. By means of the design of the resistance adding assembly, the situation that illegal invasion behaviors cannot be effectively prevented when lawbreakers implement illegal prizing behaviors, and serious threats are brought to property safety in the vault can be effectively avoided; by means of the design, the defects that in the prior art, the anti-prizing performance is insufficient, and prizing is passively borne are overcome, resistance interference can be added when the warehouse door is prized, prizing is passively accepted through the difference, and an active resisting mechanism is provided.

The present invention relates to a quality detection device for oral liquid of Chinese patent medicine, which integrates pretreatment, infrared spectrum, fingerprint spectrum, ultraviolet visible spectrum detection module and cloud analysis feedback system. Intelligent pretreatment is used to ensure sample suitability, multi-spectral technology is used to comprehensively analyze components, cloud database and random forest algorithm are combined, and types are quickly subdivided according to absorbance, peak position shift and area change are quantified in detail, and finally the quality grade is determined and feedback is given to users in real time. The system improves detection efficiency and accuracy, and strengthens the intelligent level of quality control of Chinese medicine.

The invention provides a data interaction method and device, and the data interaction method is applied to a server, and comprises the steps: receiving an interaction request sent by a client, and sending the interaction request to a target interaction model; receiving byte interaction response data fed back by the target interaction model according to the interaction request in a streaming manner, and converting the byte interaction response data into text interaction response data in real time; the byte interaction response data comprises at least one byte; sequentially processing the converted text interaction response data according to a preset blocking strategy, and determining to-be-audited blocking data; after each piece of block data to be audited is determined, according to a preset auditing strategy, auditing the block data to be audited; and according to a preset display format, sending the to-be-audited block data passing the audit to a client in a streaming manner. In this way, the instantaneity and safety of the dynamically generated content can be ensured through the technical means of streaming transmission, block checking, real-time processing and the like.

The invention belongs to the technical field of general cleaning, and particularly relates to an automatic cleaning device and method for a stirrer of a self-feeding mixer lorry, the cleaning device comprises a plurality of telescopic pipes which are arranged together in a sleeved mode, a spring is arranged between every two adjacent telescopic pipes, and the telescopic pipes are far away from each other under the action of the springs; a cleaning head is arranged on the front end head of the telescopic pipe located at the foremost end, a rotator is arranged at one end of the cleaning head, the nozzle is arranged on the rotator, the telescopic pipes of the telescopic pipe set are pulled under the action of the rear driving motor, the spring is compressed, then the telescopic pipe set is shrunk, and the overall length of the cleaning device is changed. The size of the cleaning device is shorter, the cleaning device can be installed on the stirrer, the interior of the stirrer is cleaned under the action of high-pressure water flow, the driving cylinder is controlled to drive the telescopic pipe set to change the inclination angle, the water flow spraying position of the nozzle is changed, and cleaning dead corners are reduced.

The invention provides an urban skyline live-action visual touch interaction optimization method based on multi-scene simulation. The method comprises the following steps: acquiring three-dimensional live-action data of an urban target area; uploading the three-dimensional live-action data to a digital twinborn visual platform, and reconstructing a skyline lightweight live-action model of the urban target district; recording and translating behavior and instruction information of a user for adjusting the skyline model one by one by using a wearable device, and summarizing the behavior and instruction information into preference training data; defining each building monomer in the skyline model as an agent, defining the action and reward function of the agent, and solving the skyline optimization problem of the skyline model by adopting multi-agent deep reinforcement learning; judging whether the loss function and the reward function meet requirements or not; and storing the output scheme, outputting the output scheme to a holographic sand table for operation and display, and performing secondary accurate adjustment. According to the invention, the behavior data of the skyline model can be adjusted based on the user, and the city skyline optimization scheme better meeting the user demand can be quickly generated.

The application is suitable for the medical technology field, and particularly relates to a speech recognition method and device based on artificial intelligence, computer equipment and medium. The application obtains a first speech enhancement matrix and a second speech enhancement matrix missing different semantic information by randomly shielding rows and columns of a mel spectrum matrix; calculates a metric sub-loss to perform self-supervised training on an encoder according to the first speech frame features and the second speech frame features extracted by the encoder; obtains speech fusion features and inputs the speech fusion features into a decoder to obtain mapped characters, combines preset characters to calculate a prediction loss to perform supervised training on a speech recognition model, weights and adds the prediction loss and the metric loss according to the number of zero characters and non-zero characters to obtain a target loss to train the encoder and the decoder, and combines the self-supervised training mode and the supervised training mode to improve the recognition accuracy of the speech recognition model, greatly improving the instantaneity, convenience and accuracy of information input in the medical technology field.

The invention discloses a smoking behavior recognition method based on multi-source perception and particle size fingerprint analysis, which comprises the following steps: arranging a particulate matter sensor module, continuously collecting a multi-channel particle size spectrum in a target space in a non-optical mode, and generating a high-resolution particle size distribution sequence according to time; an infrared sensor module is arranged to monitor entering and leaving states of personnel in real time; the short-term change of the concentration distribution of the particulate matters with different particle sizes is calculated through a parameterization formula, and the accurate judgment of the smoking event is realized in combination with the personnel state and the PM2.5 speed increase in the same period. According to the invention, the infrared sensing data stream and the particulate matter concentration data stream are deeply analyzed, and the on-site state of personnel and the specific fluctuation mode of cigarette smoke are accurately identified; through cross cooperation verification of multi-dimensional features, interference of water vapor, mosquito-repellent incense and non-artificial smoke sources can be effectively eliminated, and unification of high detection precision and low false alarm rate is achieved. According to the method, imaging equipment is completely abandoned, and the risk of privacy disclosure is avoided from the source.

The application discloses a sequence data modeling method and system. The method comprises the following steps: S1, converting a multi-source heterogeneous original feature set at a current moment into an embedded vector of a unified dimension through a learnable mapping function, and integrating the embedded vector into a comprehensive feature embedded vector E_t; S2, calculating a space-time difference between the current event and a previous event, inputting the space-time difference into a learnable network after processing as a structured feature to generate a space-time correlation score vector R_st; and S3, inputting the R_st into a gated recurrent neural network as an adjusting signal to adjust a gate and update a cell state, so as to obtain a sequence state vector s_t. The enhanced state representation is sensitive to space-time dynamics, and the space-time correlation mode is improved in interpretability.

The present application belongs to the field of aviation safety management, and relates to a pilot style competence evaluation and management method and system based on multi-modal data, aiming to solve the problems of subjective and one-sided, passive lag and data island of the existing evaluation method. The present application includes: constructing a digital competence index library, collecting multi-source data and performing real-time verification; fusing flight quality monitoring data, audio and text data, extracting unstructured features and converting them into multi-dimensional digital vectors; performing dynamic portrait calculation based on the vectors and feature data to generate a style deviation index; triggering a graded electronic early warning according to the comparison result of the index and the preset threshold value, and linking the scheduling system to implement blocking when the risk is high. The system correspondingly includes index library construction, data collection and verification, data fusion and feature extraction, risk assessment and early warning modules. The present application realizes the objective quantification, dynamic prediction and active intervention of pilot style, effectively improving the intelligentization and closed-loop level of safety management.

The invention discloses a common error question image generation method based on education. Relates to the technical field of image processing. The education-based common wrong question image generation method comprises the following steps: screening common wrong questions for educating students from a wrong question set according to a question selection requirement of a teacher, the common wrong questions being used for indicating wrong questions commonly selected for a plurality of students; generating a text image from the common error questions; carrying out fusion processing on the text image and an identification image used for identifying wrong questions to generate a common wrong question image; and displaying the common error question image to an expected arrangement object of the teacher.

The invention relates to the technical field of geographic information systems, in particular to a method for transmitting WebGIS information to network collaborative office software. The method comprises the following steps: S1, establishing a long connection between the GIS system and the collaborative office software by introducing and initializing a Connector of the collaborative office software in the GIS system; s2, an SDK (Software Development Kit) of a Convector and an SDK of a Command Service are imported into a WebGIS (Geographic Information System); s3, adding an entry point of a document editing function in a user interface of the GIS system; s4, when the user completes plotting, a plotting completion event is triggered, and the GIS system calls a callCommand method of Command Service through Connector to trigger interaction with the collaborative office software so as to start an interaction session between the system and the document data; s5, checking and processing the incoming information in the collaborative office software; and S6, calling a collaborative office software storage method after confirming that the content processing is finished, collecting the modified content and forwarding the modified content to the DocumentServer when the document editing service monitors that the work of the document is finished, and finishing the change of the file by the DocumentServer.