48results about How to "Reduce bandwidth costs" patented technology

The invention provides a method and a device for simulating a video medium by a multi-mode medium in dubbing and a readable storage medium thereof. In the dubbing field, a traditional video medium has the problems of high cost, poor flexibility and the like. According to the method, multi-mode media such as audios, pictures and texts are dynamically loaded during program running, and the video effect is simulated through specific steps. The method comprises the following steps of: initializing an item, configuring resources, requesting and analyzing data, loading a UI (User Interface) control, synchronizing the data and the control, adding an interactive operation and an extended function, and finally releasing the resources. The technology effectively reduces the cost, realizes resource sharing, improves the operation efficiency and flexibility, has cross-platform compatibility, has important practical value in dubbing and other multimedia application scenes, and can bring more efficient and convenient experience to users.

The invention provides an edge computing resource allocation method and system based on multi-objective optimization, and relates to the field of data processing, and the method comprises the steps: determining the resource demand feature of each unmanned retail store and the resource demand association feature between any two unmanned retail stores according to the historical computing resource demand information of a plurality of unmanned retail stores, determining an edge calculation layout scheme, and setting a plurality of edge calculation devices; predicting future computing resource demands of the plurality of unmanned retail stores according to the resource demand feature of each unmanned retail store, the resource demand association feature between any two unmanned retail stores and the demand prediction auxiliary information; acquiring resource allocation auxiliary information; according to the method, the edge computing resource allocation scheme is determined according to the future computing resource demands and the resource allocation auxiliary information of the unmanned retail stores, the edge computing resources are allocated to the unmanned retail stores, and the method has the advantage of improving the flexibility of edge computing resource allocation in an unmanned retail scene.

The invention discloses a video call method based on a work number platform, which comprises the following steps of: for a video downlink scene, transmitting a file to the work number platform by a call center, auditing and transcoding the file into a video file by the work number platform, generating a file ID (Identity) to inform the call center, and initiating bidirectional audio to a client through the work number platform by the call center. Performing one-way downlink video call, and playing the video file to the client through the file ID; for a video uplink scene, the call center and the client initiate a bidirectional audio and unidirectional uplink video call through the work number platform, the uplink audio and video stream of the client is displayed and recorded in the center of the work number platform and is transcoded into a video file and a corresponding ID, and the call center downloads the uplink video file from the work number platform according to the corresponding ID. The method is used for assisting a call center which does not support a video call to carry out a one-way video call with a client by utilizing the video capability of a work number platform.

The present invention discloses a distributed power control method based on edge computing, which belongs to the field of distributed power regulation technology. The method includes the following steps: first, based on the low-voltage distributed photovoltaic power station's feeder voltage level regulation requirements, data collection of distributed power intelligent gateway devices is carried out; power automatic control technology based on edge computing is proposed, and a distributed power intelligent gateway on-site control method is established; voltage regulation is performed according to on-site active / reactive control requirements; based on the performance requirements of the distributed power intelligent gateway device, hardware of the distributed power intelligent gateway device that supports information encryption and wireless communication is designed; and the proposed method is verified. The active distribution network based on distributed power provided by the present invention does not need to transmit data to the upper system for analysis as much as possible, and has good guiding significance for information access of the power grid dispatching system, distributed power control, etc.

The invention provides a real-time monitoring device and monitoring method for partial discharge ultrasonic signals of power equipment, and relates to the technical field of power equipment monitoring. The real-time monitoring device for the partial discharge ultrasonic signal of the power equipment comprises a distributed monitoring system based on a block chain, intelligent monitoring based on edge computing, a positioning module based on an acoustic phased array, an environment monitoring module, a safety and protection module and a power management module. The integrity and security of partial discharge ultrasonic signal data are ensured and the data are prevented from being tampered or lost by using the decentralization and tampering-free characteristics of the block chain, the monitoring data are stored on a plurality of nodes in a distributed manner, the single-point fault is avoided, the reliability and fault tolerance of the data are improved, all data operations are recorded on the block chain, and the data operation efficiency is improved. The transparency and traceability of data are ensured, auditing and fault traceability are facilitated, real-time data processing and analysis are performed near a data source based on intelligent monitoring of edge calculation, and data transmission delay is reduced.

The invention discloses a security detection method, device and equipment and a computer readable storage medium, and belongs to the field of network security. The method comprises the following steps: a proxy device collects a first event; the proxy device performs first security detection on the first event to obtain a first detection result; the proxy device processes the first event to obtain a second event, and the data volume of the second event is smaller than that of the first event; the proxy device sends the first detection result and the second event to the cloud, the first detection result and the second event are used for the cloud device to perform second security detection on the second event, and a second detection result is obtained. The collected events are cooperatively detected based on the proxy device and the cloud device, so that the transmission data volume between the proxy device and the cloud device is reduced, the bandwidth cost is reduced, and the detection efficiency is improved.

The invention discloses a networking method and device of Internet of Things equipment, electronic equipment and a storage medium, and relates to the technical field of Internet of Things networking, and the method comprises the steps: collecting the feature information of each piece of Internet of Things equipment through an edge calculation node; clustering the Internet of Things devices based on the feature information to obtain a networking result, and monitoring the change of the feature information; and under the condition that the variable quantity of the feature information exceeds a preset threshold value, adjusting the networking result based on the changed feature information. According to the method, the feature information of the Internet of Things equipment is acquired by adopting the edge computing node, and the Internet of Things equipment is dynamically clustered, so that the network structure is adjusted according to the real-time change of the feature information of the equipment, the resource utilization efficiency is improved, the response capability of the system is enhanced, and the user experience is improved. And the Internet of Things equipment can be efficiently and flexibly networked in a complex and changeable environment.

The invention relates to the field of video monitoring, in particular to a pixel self-adaptive video monitoring system and method based on intelligent Dongle. The system is highly integrated with Dongle form equipment, and the intelligent level, the resource utilization efficiency and the operation convenience of the video monitoring system are remarkably improved. Through the functions of pixel adaptive calling, AI intelligent analysis, seamless integration of local and cloud storage and the like, the requirements of a modern video monitoring system for high-definition image quality and intelligent analysis are met, and the monitoring experience of a user and the operation efficiency of the system are greatly improved.

The invention discloses a damper real-time performance evaluation and health diagnosis system and method. Current traditional damper monitoring faces many limitations. The system comprises a sensor array module, a data acquisition and preprocessing module, a data fusion processing module, a performance evaluation module, a health diagnosis module, an early warning module and a communication and storage module. The data fusion processing module is used for performing automatic fusion processing on the preprocessed data to generate optimized fusion data; the performance evaluation module is used for calculating various performance indexes of the damper through the fused data; the health diagnosis module diagnoses the fault type of the damper according to the fused data and the performance evaluation result, analyzes the fault reason and evaluates the risk level of the fault; the early warning module is used for issuing early warning information; and the communication and storage module is used for data transmission and storage. According to the invention, the accuracy, real-time performance and reliability of damper monitoring are improved.

The present invention discloses an image device data management method and system based on cloud-edge collaboration, the method comprising: a cloud server configures task information and workflow information for an edge server and an edge device, and sends the task information and workflow information to the edge server; the edge server receives and parses the task information and workflow information, and sends a data acquisition instruction to the edge device; the edge device performs data acquisition according to the data acquisition instruction, obtains image data, and transmits the image data back to the edge server; the edge server processes the image data according to the workflow information, and uploads the processed image data to the cloud server; the cloud server receives and manages the image data according to a preset receiving mechanism, and constructs the received image data into an image device data packet. The present invention constructs an image device data packet based on cloud-edge collaboration, which can effectively improve the quality of image data.

The present invention discloses a method and device for determining a transcoding bit rate, including: encoding a target video file based on a target encoding method to obtain a video complexity curve of the target video file; analyzing the peaks and troughs of the video complexity curve to obtain video segment division points of the target video file; dividing the target video file by the video segment division points to obtain a plurality of video segments; and calculating the transcoding bit rate of each video segment according to the complexity parameter in the video complexity curve and the target bit rate of the target video file, so that the encoding process of the target video file is realized by the transcoding bit rate corresponding to each video segment. The present invention uses the bit rate distribution obtained by the target encoding method as a video complexity reference to determine the transcoding bit rates corresponding to different segments, and can obtain higher image quality or lower bandwidth cost compared to the encoding method using a fixed bit rate.

The invention discloses a battery maintenance method based on a dynamic sparse neural network and a large language model, and belongs to the technical field of battery management. The method comprises the following steps: acquiring sensor time sequence data and an operation and maintenance text maintenance log of a battery pack, and respectively carrying out standardized preprocessing on the sensor time sequence data and the operation and maintenance text maintenance log; extracting time domain and frequency domain features of the preprocessed sensor time sequence data to obtain sensor features; carrying out semantic coding on the preprocessed text maintenance log by adopting a large language model subjected to battery domain knowledge fine adjustment to obtain text semantic features; performing feature fusion on the sensor features and the text semantic features based on a cross attention mechanism to generate fusion features; and inputting the fusion features into a dynamic sparse neural network which adaptively adjusts the sparseness of each layer of network according to the real-time health state of the battery, and outputting a battery fault probability and a fault root cause weight.

The present disclosure relates to a file processing method and device and a storage medium. The method comprises: in the case of detecting a starting instruction for a to-be-started service container in a container cluster, obtaining a file acquisition request for the to-be-started service container; parsing a target file domain name and a target download address from the file acquisition request; determining whether a candidate file domain name matched with the target file domain name exists in a configuration file of the container cluster; in the case of the candidate file domain name matched with the target file domain name existing in the configuration file, determining a candidate cache address corresponding to the candidate file domain name matched with the target file domain name as a target cache address; determining a target cache space from the container cluster based on the target cache address; and determining a required target file from the target cache space based on the target download address. In this way, the file can be directly acquired from the container cluster quickly and conveniently, and the file pulling speed in the container cluster environment is effectively improved.

This invention relates to the field of port data processing, and more particularly to a green port energy digital management platform based on digital twins. When constructing the digital twin, this invention utilizes an incremental synchronization mechanism and spatiotemporal event identifiers to ensure that the green port energy digital management platform only transmits incremental data that has changed. This not only saves on expensive cloud resources and dedicated line bandwidth costs, but also allows the green port energy digital management platform to maintain smooth operation even when dealing with massive amounts of data. Furthermore, through the incremental synchronization mechanism, this invention ensures that the green port energy digital management platform only updates the digital twin when changes occur, and combined with an efficient event bus, latency is drastically reduced from minutes to seconds.

The embodiments of the present application provide a task scheduling system, method, electronic device and storage medium, wherein the scheduling system comprises at least a central cloud and a plurality of edge nodes communicatively connected to the central cloud, and each edge node comprises a plurality of execution units; wherein the central cloud is used to obtain task configuration information corresponding to the target data stream in response to streaming information for the target data stream, and generate a data processing task for the streaming information according to the task configuration information; obtain node operating parameters corresponding to each edge node, and select a first edge node that meets a first preset condition corresponding to the data processing task from each edge node according to the node operating parameters; the first edge node is used to receive the data processing task, and obtain the unit operating parameters of each execution unit, and select a first execution unit that meets a second preset condition from each execution unit according to the unit operating parameters; the first execution unit is used to execute the data processing task for the target data stream.

The application provides a front-end reasoning deployment method and system based on a TensorFlow lightweight model, comprising: in a client, creating a background thread independent of a main thread; in the background thread, performing a model loading step, the model loading step comprising: judging whether a new version of a deep learning model needs to be obtained from a server through a local cache verification mechanism, and obtaining or using the deep learning model cached locally according to the judgment result; the main thread and the background thread interact through an asynchronous communication mechanism to perform reasoning calculation based on the deep learning model in the background thread, and send the reasoning result from the background thread to the main thread. The application realizes low-delay real-time reasoning: the reasoning process is completely completed in the local client of the user, and data does not need to be uploaded to the server, eliminating the delay caused by network transmission and greatly improving the real-time performance of artificial intelligence functions.

The present disclosure provides a data weaving processing method, device, electronic device and readable storage medium, which belongs to the field of communication technology. The method collects and stores metadata for the original data distributedly stored in the data source node, without the need to centrally transmit the data of a large number of edge nodes to the data center, reducing the cost of data replication, transmission and storage, improving data governance efficiency, reducing network congestion, bandwidth costs, and data center computing power requirements, and avoiding possible security and privacy risks during data replication, transmission and storage, improving overall data processing, access and management; by collecting metadata of the original data and building a knowledge graph based on metadata, data integration across businesses and systems between data source nodes is realized, and the degree of global data correlation is improved; and a dynamic data knowledge catalog is generated for users' real-time data retrieval needs, providing a unified, comprehensive and intuitive data view, and realizing accurate retrieval and access to data.

The embodiments of the present application provide a method, device, electronic device and storage medium for processing game applications. In the embodiments of the present application, the container component can determine whether to run the game application in the smart TV in the local game mode according to the hardware configuration information of the detected smart TV, thereby improving the flexibility of installing the game application on the smart TV, greatly solving the problem of failure to install the game application on the smart TV or poor game effect due to the low hardware configuration of the smart TV, and ensuring the user's gaming experience. In addition, the smart TV can obtain the installation package of the container component from the application store at a low bandwidth cost, and installing the container component locally on the smart TV will not occupy more storage resources and computing resources.

The embodiment of the invention provides a data processing method and device, electronic equipment and a storage medium, and relates to the technical field of distributed network detection.The method comprises the steps that a content access request sent by a client side is obtained, and client side parameters corresponding to the client side are obtained; detecting the content access request according to whether the content access request carries an authentication parameter and / or a client parameter, and generating a detection result for the content access request, the authentication parameter being a parameter for authenticating a content access link of the content distribution network; if the request detection result represents that the content access request is the normal access request, the target data corresponding to the content access request is returned to the client, so that the abnormal access request can be accurately identified, and the bandwidth cost caused by the abnormal access request is reduced.

The embodiment of the present application relates to the field of the Internet, and discloses a method for processing multimedia data. The method includes: in the process of playing the first multimedia data of the target multimedia data to the target object, collecting the operation data of the target object; calling the sensitivity prediction model on the end, predicting the sensitivity of the target object based on the operation data, and obtaining the current sensitivity of the target object; if it is determined to adjust the gear parameters of the multimedia data based on the current sensitivity of the target object, then sending the gear parameter adjustment information to the server, the gear parameter adjustment information includes the target gear parameters that match the current sensitivity of the target object; receiving the second multimedia data whose gear parameters are the target gear parameters sent by the server, and playing the second multimedia data to the target object. The use of the embodiment of the present application can ensure that the played multimedia data meets the needs of the target object.

Embodiments of the present application disclose a log management method and device, a storage medium and an electronic device. The method comprises: extracting a first instruction address in a call stack, the first instruction address being an address corresponding to a first instruction of a preset operation in the call stack; analyzing the first instruction address to obtain a target original address, the target original address pointing to an original instruction address of the first instruction in a symbol image; extracting second instruction addresses in turn; for each second instruction address, determining a first feature value and a second feature value, the first feature value being a distance difference value of an original instruction address of a corresponding instruction in the symbol image relative to the target original address, and the second feature value being an instruction quantity difference value of the corresponding instruction relative to the first instruction; and generating a log according to the target original address, the first feature value and the second feature value corresponding to each second instruction address. The present application can reduce the amount of log data.

Embodiments of the present application provide a point-to-point (P2P) transmission method, system and device. Embodiments of the present application improve the traditional point-to-point transmission, use ICE to punch a hole, establish an ICE connection, and establish a P2P data channel on the basis of the ICE connection to perform P2P transmission, without the need for a server to relay, thereby saving server bandwidth costs. Furthermore, embodiments of the present application also achieve compatibility with an application layer on the basis of the ICE connection, to implement the same access mode and different processing logic for different application data, thereby shielding the user from the differences between the application data, and improving the processing efficiency and security of data transmission.

The invention discloses a two-stage compression denoising imaging method for a large-area array Geiger mode APD (avalanche photo diode). The method comprises the following steps: intercepting photon events in a pre-sampling time window at the front part of a data block to carry out global histogram statistics, fitting and estimating time domain characteristics of background noise based on Poisson distribution, screening and compressing full-frame data, and eliminating most noise; carrying out local joint histogram statistics and peak value extraction on the compressed data based on a pixel space neighborhood, and reconstructing a preliminary distance image and a preliminary intensity image; if the effective data in the neighborhood of the data meets the flat area condition, standard median filtering is executed; otherwise, starting a robust filtering algorithm based on absolute median difference MAD for processing. According to the method, the cooperation of front-end data efficient compression and rear-end accurate denoising and edge preserving is realized, and the method has the advantages of high compression ratio, high adaptability and excellent imaging quality, and is particularly suitable for real-time three-dimensional imaging of a large-area-array GM-APD laser radar system.

The invention provides a cross-cloud increment synchronization method which can be applied to the field of cloud computing or big data. The method comprises the following steps: in response to an increment synchronization request of a source public cloud accessing a log analysis platform, collecting an access log on the source public cloud in real time; obtaining an access log newly generated by the source public cloud according to a preset time window through an incremental synchronization service to generate an ith source list file; checking the consistency of the ith source list file and each target list file stored in the target public cloud through a difference comparison algorithm; and in response to inconsistency between the ith source list file and each target list file, synchronizing the ith source list file to the target public cloud. The invention further provides a cross-cloud increment synchronization device and equipment, a storage medium and a program product.

This application discloses a video file distribution method and apparatus. The method involves: acquiring change messages for various media assets on a video platform; updating the media asset copyright information of each media asset based on the change messages; traversing video files that have passed the video platform's review; determining the target copyright playback region information of the video file based on the target media asset copyright information matching the video file; and triggering the video file to be pre-warmed to the CDN node of the corresponding target copyright playback region according to the target copyright playback region information. This method distributes video files to CDN nodes in the target copyright playback region, thereby ensuring that only videos allowed to be played in overseas countries and regions are distributed to the corresponding overseas country / region origin server. This minimizes the bandwidth costs incurred in distributing video files overseas and the storage costs of files on overseas origin servers while guaranteeing the user's viewing experience.

The present application provides a dynamic bandwidth resource management method and device, an electronic device and a storage medium, the method comprising: using a pre-trained bandwidth demand prediction model to predict the bandwidth demand of a cloud application user; when the bandwidth demand is greater than a first value, adjusting the encoding parameters of the cloud application screen to reduce the data volume of the encoded cloud application screen; or when at least two consecutive predicted bandwidth demands are less than a second value, adjusting the encoding parameters of the cloud application screen to increase the data volume of the encoded cloud application screen, wherein the first value is greater than or equal to the second value, which can effectively manage bandwidth resources, improve bandwidth resource utilization efficiency, and reduce overall bandwidth costs, while ensuring a high-quality user experience.

The invention relates to a video playing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a historical playing record of a user in a preset time period under the condition of determining that a video pre-obtaining condition is met at present; screening videos included in the historical playing record according to a preset screening rule, and determining a target video; acquiring video parameters of the target video, and sending the video parameters to a preset server, so that the server determines a target associated video to be published of the target video according to the video parameters and a preset matching rule, and sends the target associated video to a video playing end; receiving a target associated video sent by the server, and storing the target associated video to a preset storage medium; and when a playing request for the released target associated video is detected, obtaining the target associated video from the storage medium, and playing the target associated video. Therefore, the number of online users during video release can be reduced, and the bandwidth cost is reduced.

The invention relates to the technical field of intelligent decision and financial science and technology, and discloses an inter-frame data analysis method and device, equipment and a medium, and the method comprises the steps: obtaining all macro block information of each frame of image in a preset image set; performing identical extraction on macro block information in adjacent images in the preset image set to obtain identical macro block information; judging whether the preset frame image meets a preset condition or not, and if yes, performing corresponding condition operation; performing type analysis on macro block information which is the same as the same macro block information in the preset frame image to obtain a first macro block type; performing type analysis on macro block information different from the same macro block information in the preset frame image to obtain a second macro block type; and generating a compressed frame image according to the combination of the coded image, the first macro block type and the second macro block type. According to the invention, the motion estimation algorithm is optimized, the operation speed of the codec is accelerated, and the compression performance of the video is improved.

The invention provides a mother band audio generation method and a terminal, and relates to the technical field of audios, the method is applied to the terminal, and the method comprises the following steps: obtaining a to-be-processed audio of a target song; performing sub-band segmentation on the audio to be processed to obtain a plurality of sub-band audios; inputting the plurality of sub-band audios into a mother band audio generation model to obtain a plurality of audios to be synthesized; and performing sub-band synthesis on the plurality of to-be-synthesized audios to obtain a mother band audio of the target song. By adopting the method and the device, the terminal can complete the acquisition of the mother band audio under the condition that the terminal does not need to interact with the server, and the bandwidth occupation generated by the interaction with the server is saved.

The invention relates to the technical field of page loading, and discloses a picture loading method, device, equipment and medium, the method comprises the following steps: intercepting a picture loading request of a client, determining an application type of the client according to an access path in the picture loading request, and determining a preset picture agent corresponding to the application type; performing detection processing on a picture URL address in the picture loading request through a preset picture agent, and judging whether the picture URL address meets a preset modification requirement or not according to a detection processing result; when the picture URL address meets a preset modification requirement, performing address modification on the picture URL address to obtain a target URL address; and accessing according to the target URL address to obtain a target picture in a target format, and sending the target picture to the client so as to load the target picture to a display page after the target picture is rendered at the client. By adopting the picture in the target format, the size of the picture is reduced, the bandwidth cost is saved, the request response speed is increased, and the picture loading efficiency is improved.