578 results about "Broadcast system" patented technology

The invention relates to the technical field of road safety, in particular to a road construction safety self-adaptive warning broadcast system and method, and the method comprises the steps: collecting environment parameters of a construction region in real time; detecting dynamic traffic parameters of vehicles around the construction area; tracking a real-time position and a movement track of the construction machinery, and monitoring a safe area border crossing behavior of a constructor; predicting a dynamic risk level in the construction area based on the environmental parameters, the dynamic traffic parameters, the construction machinery motion trail and the personnel border crossing state, and generating a grading response strategy; and outputting a self-adaptive warning signal according to the grading response strategy. According to the method, the problems that a traditional early warning model depends on one-dimensional parameters, the static threshold misjudgment rate is high and the response delay is large are effectively solved, and accurate quantification and real-time early warning of the construction machinery and vehicle conflict risk are achieved through multi-source data fusion and dynamic probability calculation.

The invention discloses a live broadcast system based on AI interaction, and the system specifically comprises a data collection module which is used for obtaining the real-time bullet screen data and interactive behavior data of a user in a live broadcast process; the emotion judgment module is used for determining an emotion tendency state judgment result of the user in the live broadcast process through the real-time bullet screen data and the interactive behavior data; the parameter adjusting module is used for dynamically adjusting an emotion expression parameter of the AI anchor according to a live broadcast content theme and commodity recommendation key information on the basis of the emotion tendency state judgment result; and the style migration module is used for inputting the emotion expression parameters into a style migration model, generating dynamic expression image data and mapping the dynamic expression image data into an image model of an AI anchor. According to the method and the device, dynamic matching between AI anchor image generation and user emotion requirements is realized, the image generation capability of the AI anchor is improved, and the emotion interaction effect between the AI anchor and the user is remarkably enhanced.

The invention discloses an intelligent fire evacuation system and method based on dynamic environment perception, and relates to the technical field of fire fighting and safety protection, and the method comprises the steps: collecting real-time data in a fire scene; dividing the evacuation area into a plurality of grid units by using a two-dimensional rasterization technology to form a real-time updated environment map; in combination with dynamic modeling data, an optimal evacuation path is generated by using an improved path planning algorithm; an evacuation path is transmitted to trapped people in real time in a visual and auditory mode, and the visual and auditory mode comprises the use of a dynamic indicator lamp, a marker lamp, an electronic screen and a voice broadcast system; the guidance content is adjusted in combination with real-time data, and the evacuation efficiency is optimized; fire fighting equipment is linked, and the evacuation path environment is optimized; and the evacuation state is monitored through a dynamic data feedback mechanism. According to the invention, an evacuation path is calculated and updated in real time by integrating a sensor network, fire scene dynamic modeling and an intelligent path planning algorithm, and a safe and efficient evacuation scheme is provided for trapped people in a fire.

The invention discloses a flood detention area emergency evacuation early warning method based on environmental perception and intelligent analysis, and relates to the technical field of flood control and disaster mitigation, and the method comprises the steps: collecting the original data of a flood detention area site, and forming a monitoring array; a monitoring array is divided into a plurality of monitoring units according to geographic grids, a rainfall permeation model is established according to rainfall data and soil humidity data, a surface runoff field is constructed in combination with terrain elevation data, and the confluence direction of the runoff field is calibrated through water level data; based on a rainfall penetration model and a surface runoff field, generating a flood detention area inundation evolution sequence, segmenting into an inundation grade map according to a time step length, planning a flood detention area emergency evacuation path, matching with a road network in a geographic information system, generating an optimal evacuation path, and issuing graded early warning information to an early warning area. And sending a withdrawal instruction to residents in the flood detention area through the emergency broadcasting system. According to the invention, by establishing a partition early warning mechanism and a differential early warning strategy, accurate delivery and efficient transmission of early warning information are realized.

The invention relates to the technical field of network communication and video processing, in particular to an intelligent global cloud live broadcast system based on AI and multi-operator and multi-cloud optimization, and the system comprises a data collection module which is used for collecting live broadcast video streams; the video compression module adopts H.265 coding; the content review module is used for performing multi-modal review; the RPMTS packaging module is used for accessing three operator cloud private line POP nodes through a public network after packaging; the decoding module is used for decoding POP nodes in the middle area; the translation module is used for generating multi-language subtitles or dubbing; the multi-operator and multi-cloud adaptability matrix module calculates an optimal path in combination with an AI algorithm and a multi-cloud cost adaptability matrix; the multi-branch access module is used for realizing branch node cooperative forwarding; and the multi-language distribution module is used for generating multi-language subtitles and dubbles and pushing the multi-language subtitles and dubbles to each global live broadcast platform, so that synchronous distribution is realized, and the system can reduce global live broadcast delay, improve multi-language coverage capability and realize high reliability and cost optimization.

The invention provides an emergency broadcast playing method and system for disasters in an outdoor scene, and relates to the technical field of emergency broadcasts, cameras in a region are adopted to monitor the evacuation state of personnel in the outdoor scene in real time, and an emergency broadcast system and a rescue system are triggered through the evacuation state to perform linkage, so that bidirectional information transmission is realized; and the priority of the broadcast content played by the emergency broadcast is adjusted according to different instruction information in bidirectional information transmission, so that the broadcast content has pertinence, and rescue workers can receive key instructions.

The invention discloses a parallel constant-voltage digital audio power amplifier and a broadcasting system. Comprising a line input module, a line output module, a first analog-to-digital conversion circuit, a second analog-to-digital conversion circuit, a third analog-to-digital conversion circuit, a digital signal processor, a single-chip microcomputer, a digital-to-analog conversion circuit, an error comparator, a modulator, an integrating circuit, a pulse width modulation input half-bridge output stage, and a first carrier frequency selection and gain adjustment module. A second carrier frequency selection and gain adjustment module, a first LC filter, a high-frequency compensation network, a communication bus and a power switch. The technical problems that an existing multi-channel parallel digital constant-voltage power amplifier is only limited to power amplifier channels in the same power amplifier, the parallel connection mode only uses the first channel as a main power amplifier and only uses the other channels as slave power amplifiers, and certain limitation exists are solved.

The invention relates to the technical field of live broadcast display, in particular to a live broadcast method and system based on an intelligent digital human model, and a medium. The method comprises the following steps: acquiring user live broadcast environment data; facial expression data, voice data and limb movement data are collected through a multi-modal sensor, and feature fusion processing is carried out to obtain user dynamic portrait data; generating a digital human model in real time based on the dynamic portrait data of the user, and constructing an intelligent driving engine comprising an emotion response module and a semantic understanding module for the digital human model; generating a personalized digital human image and a digital human behavior decision tree based on an intelligent driving engine; analyzing the live broadcast interaction data stream in real time; through multi-modal perception, an intelligent driving engine and a dynamic interaction strategy, a personalized, high-interactivity and self-adaptive flow pushing intelligent digital human live broadcast system is realized, and the technical bottlenecks of existing virtual live broadcast in the aspects of interactivity, personalization, scene fusion and the like are broken through.

The invention relates to the technical field of disaster early warning, in particular to an earthquake early warning method of an emergency early warning broadcast system, which comprises the following steps: acquiring latitude and longitude coordinates of a seismic source and earthquake monitoring data; according to the longitude and latitude coordinates of the seismic source, determining a broadcast station distribution area range which is represented by longitude and latitude; the method comprises the following steps: constructing an earthquake risk topological space based on historical earthquake data, and dividing earthquake risk grades in the topological space; according to the earthquake risk level, determining a corresponding broadcast emergency degree parameter, and generating a broadcast message code; and sending the broadcast message code to broadcast stations in the broadcast station distribution area through a power line carrier and a wireless communication network so as to trigger earthquake early warning broadcast, accurately determining an early warning range through a topological space mapping technology in combination with geological structure data, remarkably reducing early warning blind areas, and avoiding excessive early warning.

The invention relates to a code rate control method and device, a video coding control method and device, a live broadcast system, electronic equipment and a computer readable storage medium. The code rate control method comprises the following steps: entering a forward prediction code rate control stage in a process of performing program stream coding on a to-be-coded image frame; calculating an image frame error between a front frame and a rear frame of the to-be-coded image frame in a forward prediction code rate control stage; calculating a frame-level quantization parameter and a block-level quantization parameter according to the image frame error between the front frame and the rear frame in code rate control; updating the coding rate of the image frame to be coded according to the frame-level quantization parameter and the block-level quantization parameter; according to the technical scheme, the complexity of calculating the quantization parameter in the TPL thread is reduced, the time delay and the data calculation amount are reduced, and the code rate control stability is improved.

The invention relates to the technical field of voice broadcasting, in particular to a voice broadcasting system for an oxygen source compressor, and adopts the technical scheme that the reliability and the control precision of signal acquisition are remarkably improved through intelligent signal recognition, a composite filtering algorithm and a fault-tolerant control mechanism; the control reliability and the voice broadcast accuracy are ensured through triple guarantee of time sequence closed-loop control, a double-relay interlocking mechanism and voice feedback verification, the reliability of the voice broadcast system is improved through digital coding triggering, environment self-adaptive output and multiple safety protection design, and the voice broadcast system is more reliable through intelligent medium recognition, dynamic loading optimization and multiple safety mechanisms. The plug-and-play and reliable operation of the multi-language system is realized, and the mechanical signal of the oxygen source compressor is directly converted into the control signal of voice broadcast through the switching characteristic of the electromagnetic relay, so that the real-time voice prompt of the operation state of the equipment is realized, the operation safety is improved, the complexity and cost of the system are reduced, and the system can be conveniently integrated into the existing equipment.

According to the intelligent voice broadcast system and method for the elevator, elevator car environment data are collected in real time through a multi-source heterogeneous sensor set, and passenger density distribution and movement tracks are calculated through fusion of a millimeter wave radar and a 3D visual sensor; physiological features of a handrail contact area are detected through a biological impedance sensor so as to judge the health state of a passenger, and the current signal-to-noise ratio is dynamically calculated and the voice frequency band is optimized through an environment noise analysis module. Therefore, by constructing a technical system of'multi-modal perception-edge intelligent decision-cross-modal interaction 'and adopting innovative means such as millimeter-wave radar and biological impedance fusion sensing, deep reinforcement learning of a dynamic strategy and a phased array directional sound field, the problems of broadcast stiffness, poor scene adaptability and privacy potential safety hazards are solved. According to the system and method, accurate passenger feature recognition, dynamic voice content generation and multi-channel collaborative feedback are achieved through two-dimensional innovation, and the intelligent level and service efficiency of elevator voice interaction are improved.

An alert broadcast system can receive a first alert message indicating an emergency from an alert management system. The first alert message generated by an emergency alert originator can include a unique identifier associated with the emergency. The alert broadcast system can forward the first alert message to a first group of wireless devices and cause each of the first group of wireless devices to temporarily store the unique identifier. The alert broadcast system can receive a second alert message, including the unique identifier from the alert management system. The alert broadcast system can forward the second alert message to a second group of wireless devices. The respective wireless device can perform an action based on a determination that the respective wireless device has received the first alert message prior to receiving the second alert message and that the second alert message is partly duplicative of the first alert message.

The invention discloses a broadcast signal interference correction method and system, a medium and equipment. A broadcast signal is collected in real time and converted into a digital signal, preprocessing is carried out to obtain a first audio signal, feature extraction is carried out according to the first audio signal to obtain audio features, and corresponding preprocessing is carried out on different types of audio features; integrating the audio features to generate an audio feature matrix, inputting the audio feature matrix into a preset fusion model to output interference analysis, receiving the interference analysis, obtaining a corresponding template in combination with a first confidence coefficient, and filling dynamic parameters to generate a correction strategy and the confidence coefficient; wherein the fusion model comprises a decision tree unit and a multi-modal fusion decision unit; and obtaining a correction index corrected by the correction strategy, generating an evaluation index in combination with interference analysis and the correction strategy, and performing adaptive feedback on the fusion model through the evaluation index. Intelligent detection and automatic correction of broadcast signal interference are realized, and the stability and signal quality of a broadcast system are improved.

The invention discloses an earthquake early warning and rapid reporting Internet of Things system, method and device and a storage medium. The system comprises an earthquake information acquisition module, a cloud server and an early warning information issuing module. The earthquake information acquisition module is used for acquiring earthquake monitoring physical quantities, generating earthquake monitoring data according to the earthquake monitoring physical quantities and sending the earthquake monitoring data to the cloud server; the cloud server is used for estimating an earthquake grade and an earthquake source position when an earthquake event is identified according to the earthquake monitoring data; and the early warning information issuing module is used for determining a to-be-early-warned area according to the earthquake grade and the earthquake source position, and sending earthquake early warning information to a broadcasting system, mobile equipment and an outdoor alarm system in the to-be-early-warned area at the same time. By adopting the technical scheme, the earthquake can be quickly and accurately detected, and the earthquake early warning information can be quickly and accurately spread, so that the influence of earthquake disasters is reduced.

The invention discloses an AI-based motion subject tracking and streaming media optimization live broadcast system, and particularly relates to the technical field of motion subject tracking and streaming media optimization, AI-driven motion subject detection and tracking and streaming media coding adaptive control are closely fused, and code rate fluctuation of a coding end and bandwidth change of a network end are sensed in real time, so that the accuracy of the motion subject tracking and streaming media optimization live broadcast system is improved. A continuous and explainable live broadcast jitter risk analysis index is constructed, potential image quality jitter and delay risks are identified in advance through fusion of causal rule scoring and time sequence prediction, and the live broadcast jitter risk analysis index is directly mapped into an adaptive coding and transmission adjustment instruction. Priority guarantee, code rate distribution smoothing and delay control optimization of a key area are realized, the definition and playing smoothness of a live broadcast picture are remarkably improved, and sudden jitter and jamming phenomena are reduced.

The invention relates to the technical field of live broadcast, in particular to a fishing live broadcast system and method, and the system comprises a data processing unit, and a visual collection unit and a wireless communication unit which are connected with the data processing unit. The visual acquisition unit is used for acquiring visual data in a preset live broadcast area, and the visual data comprises float state information and / or fish image information; the data processing unit is used for carrying out recognition processing according to the visual data to obtain a recognition result, the recognition result comprises the motion state of a float and / or fish state information, and the fish state information comprises at least one of the type, the size and the weight; and the wireless communication unit is used for communicating with a live broadcast platform and sending the visual data and the identification result to the live broadcast platform for display. Through the fishing live broadcast system provided by the invention, the participation sense and experience sense of audiences on live broadcast are greatly enhanced.

The invention relates to the technical field of digital network broadcasting, in particular to a multifunctional integrated digital network broadcasting system based on an intelligent algorithm. Comprising a multi-modal data acquisition module, a broadcast content generation module, a broadcast scheduling decision module, an abnormal interference suppression module and a terminal collaborative feedback module. The multi-modal data acquisition module collects multi-source information of a coverage area in real time. And the broadcast content generation module performs intelligent clustering analysis based on the information to generate structured content. And the broadcast scheduling decision module adopts a graph attention scheduling algorithm to optimize a scheduling strategy. And the abnormal interference suppression module identifies an interference source by using a residual convolutional network, and repairs an interfered signal through a recurrent neural network. And the terminal collaborative feedback module executes playing and data feedback, and dynamically adjusts receiving parameters and pushing strategies by means of federal reinforcement learning. The intelligent level, the adaptability, the user satisfaction and the overall service efficiency of the digital network broadcasting system are remarkably improved.

The invention discloses an inter-system synchronization method and device of a navigation positioning time service system, relates to the technical field, and aims to solve the problem that an existing large-scale ground-based PNT system does not consider time synchronization deviation between multiple subsystems, so that PNT service errors are caused by synchronization deviation in an overlapping coverage area of two subsystems. According to the invention, the inter-system synchronization receiver is arranged in the overlapping coverage area of the two subsystems, the synchronization deviation value between the two subsystems is measured through the inter-system synchronization receiver, and the synchronization deviation value is played to the navigation receiver in the overlapping area through the navigation message broadcasting system of the navigation base station; and the navigation receiver receives the synchronization deviation of the navigation base station, corrects the synchronization deviation by adopting a correction algorithm, and then carries out high-precision navigation positioning service.

A device, system, and method whereby a speech-driven system can distinguish speech obtained from users of the system from other speech spoken by background persons, as well as from background speech from public address systems. In one aspect, the present system and method prepares, in advance of field-use, a voice-data file which is created in a training environment. The training environment exhibits both desired user speech and unwanted background speech, including unwanted speech from persons other than a user and also speech from a PA system. The speech recognition system is trained or otherwise programmed to identify wanted user speech which may be spoken concurrently with the background sounds. In an embodiment, during the pre-field-use phase the training or programming may be accomplished by having persons who are training listeners audit the pre-recorded sounds to identify the desired user speech. A processor-based learning system is trained to duplicate the assessments made by the human listeners.

The invention discloses a multifunctional emergency broadcasting system based on Beidou short messages. According to the invention, a voice recognition module in the intelligent voice interaction broadcast module can quickly convert a voice instruction input by a user through a microphone into text information, so that the complexity and possible misoperation of manual input are avoided, and user feedback is more direct and efficient; the natural language processing and demand analysis module performs semantic analysis on the recognized text, accurately extracts the core content required by the user, and associates an emergency keyword library in the system, so that the system can quickly understand the intention of the user; the multi-language speech synthesis module can convert a broadcast text generated by the system into a language or dialect familiar to a user, and the three parts act synergistically, so that the interaction efficiency of the system and the user, the accuracy of demand response and the coverage range of information transmission are remarkably improved, emergency broadcast is upgraded from one-way notification to two-way interaction, and the user experience is improved. And the practicability and the reliability of the system in a complex scene are further enhanced.

This application discloses a highway traffic diversion alarm broadcasting system and method based on AI recognition, relating to the field of highway diversion technology. This application analyzes the load of each vehicle and the driving experience, historical highway violations, and historical highway accidents of each driver to divert vehicles, diverting high-risk vehicles to safer highways, thereby ensuring vehicle safety. Different safe following distances and speeds are set for different highways to avoid traffic accidents caused by excessively close following distances or excessive speeds. Furthermore, the system monitors all vehicles traveling on each highway, broadcasting warnings when accidents or violations are detected, which enhances deterrence against drivers and prevents repeated violations from leading to traffic accidents.

The invention relates to an optimization method of an IRS auxiliary short packet communication broadcasting system based on DDPG, and aims to improve the performance of the broadcasting system. The method comprises the following steps: firstly, constructing an IRS-assisted downlink broadcast system model, including system composition and channel modeling, and introducing an actual phase shift model to simulate hardware limitation of the IRS; secondly, establishing an optimization target of a system model according to statistical channel state information; constructing a DDPG reinforcement learning model, and optimizing the phase shift of the IRS and the beamforming vector at the BS through training; and finally, carrying out minimum common block length analysis by utilizing the optimized parameters. Therefore, the performance of the multi-user broadcast communication system is improved.

A method and apparatus for inheriting a broadcast system information in a wireless communication system is provided. A wireless device receives, from a first cell, a broadcast system information including a first information and a second information. A wireless device receives, from a second cell, another broadcast system information including anew information to replace the first information. A wireless device performs a measurement procedure, a cell selection procedure, and / or a cell reselection procedure while in the second cell, based on the second information received from the first cell.

The invention relates to a face and limb fusion capture method, a virtual live broadcast system, equipment and a medium, a rear end adopts a first virtual camera to collect and process a first image shot by the first camera to obtain a first video stream, and adopts a second virtual camera to collect and process a second image shot by the second camera to obtain a second video stream; the back end extracts face key point coordinate data from the first video stream, extracts skeleton node coordinate data from the second video stream, integrates the face key point coordinate data and the skeleton node coordinate data to obtain a single message body, and sends the single message body to the front end; the front end receives and analyzes the single message body to obtain a facial two-dimensional absolute pixel coordinate and a skeleton three-dimensional absolute pixel coordinate, and performs spatial registration on the facial two-dimensional absolute pixel coordinate and the skeleton three-dimensional absolute pixel coordinate to obtain a facial three-dimensional absolute pixel coordinate; the front end fuses the three-dimensional absolute pixel coordinates of the face and the three-dimensional absolute pixel coordinates of the skeleton so as to drive the virtual character to live; and the phenomena of key frame loss and skeleton-expression dislocation are improved.

For On Demand SIB1, OD-SIB1, handling, a method of a User Equipment, UE, managing cell barring in a telecommunications network during cell selection and / or reselection is provided, comprising: receiving a Signal Synchronisation Block, SSB, from a cell (NES Cell in figure 9) in the telecommunications network (1101, figure 11), determining that the cell is in a Network Energy Saving, NES, mode (1102) (in which the cell is currently not periodically broadcasting system information block one, SIB1, to save power, i.e. reduce energy consumption, On-demand SIB1); and, modifying a behaviour of the UE for barring the cell in response to determining that the cell is in NES mode (1103). The method further comprises, receiving (from an alternative cell that is not in NES mode, e.g. Anchor Cell A) a configuration (an uplink wake-up signal, UL WUS, configuration) for sending, to the NES Cell, an indication that the UE requires periodic broadcast of a SIB1. Modifying the cell barring behaviour of the UE may comprise: unbarring the cell in response to the UE receiving the configuration; during a reselection procedure for the cell, determining that the UE has received the configuration for the cell and: unbarring the cell in response or suppressing barring of the cell in response; or barring the cell with a shorter duration than would be applied for a cell not in NES mode (e.g. reduce the barring time from 300 seconds to 60 or 120 seconds).

The invention provides an intelligent education central control system and a control method thereof. The intelligent education central control system comprises a campus broadcasting system, a plurality of education central control hosts and a centralized control platform, the education central control hosts are arranged in each lesson room in a campus, and each education central control host is in communication connection with the campus broadcast system and the centralized control platform and is used for selectively playing the teaching content or the broadcast information according to the authority and / or priority of the teaching content and the broadcast information; the campus broadcast system is used for sending broadcast information to the education central control host; and the centralized control platform is used for performing centralized management on the education central control host according to the course arrangement information or the teaching plan of the classroom. The education central control host is used as the tail end of the campus broadcasting system to link the education central control system and the broadcasting system, and the centralized control platform is arranged to perform unified management on all the education central control systems in the campus, so that the management efficiency of intelligent education central control is improved, teaching broadcasting contents and broadcasting contents are broadcasted in combination with classroom course arrangement conditions, and the management efficiency of intelligent education central control is improved. And the situation that the teaching process is interrupted by invalid information is reduced.

Systems and methods are described for batch materialization of an incremental change data capture (CDC) changeset. The primary keys are extracted from the incremental CDC changeset and are broadcast to a plurality of executors. By iteratively broadcasting the extracted primary keys in groups, each being a size that is less than a broadcast limitation, the full dataframe of extracted primary keys is broadcast to the executors. Each executor filters a baseline data table based on the extracted primary keys to generate a baseline match dataframe with all primary keys matching the extracted primary keys, and a baseline unmatched dataframe with all primary keys not matching the extracted primary keys. Each executor receives a partitioned incremental CDC changeset and applies the changes to the baseline match dataframe to produce a baseline change dataframe, which is merged with the baseline unmatched dataframe to produce a final changed baseline data table.