883results about How to "Reduce computing pressure" patented technology

The invention relates to an implementation system for cloud calculation and cloud service of road traffic information based on a technology of internet of things. The system comprises a vehicular GPS (global positioning system) arranged on a mobile vehicle, a GPS satellite, a GPS base station, a relay station and an information center, wherein the information center comprises a data storage server used for receiving and storing the data of the GPS on the mobile vehicle, a cloud calculation server used for sensing the traffic state, a road traffic information platform server used for providing the cloud service of the traffic information and a GIS (geographic information system) server; and the invention provides an implementation method for cloud calculation and cloud service of the road traffic information based on the technology of the internet of things. According to the invention, the road information acquisition and the road information service are integrated, the traffic detection for existence of any vehicle is realized, the detection and sense of a road traffic system in large scale are realized, and the traffic state is evaluated, guided and controlled based on the data, thereby providing the real-time road condition information and navigation service to a traveler.

The invention discloses a simultaneous localization and mapping (SLAM) method for an unmanned aerial vehicle based on mixed vision odometers and a multi-scale map, and belongs to the technical field of autonomous navigation of unmanned aerial vehicles. According to the SLAM method, an overlooking monocular camera, a foresight binocular camera and an airborne computer are carried on an unmanned aerial vehicle platform; the monocular camera is used for the visual odometer based on a direct method, and binocular camera is used for the visual odometer based on feature point method; the mixed visual odometers conduct information fusion on output of the two visual odometers to construct the local map for positioning, and the real-time posture of the unmanned aerial vehicle is obtained; then theposture is fed back to a flight control system to control the position of the unmanned aerial vehicle; and the airborne computer transmits the real-time posture and collected images to a ground station, the ground station plans the flight path in real time according to the constructed global map and sends waypoint information to the unmanned aerial vehicle, and thus autonomous flight of the unmanned aerial vehicle is achieved. Real-time posture estimation and environmental perception of the unmanned aerial vehicle under the non-GPS environment are achieved, and the intelligent level of the unmanned aerial vehicle is greatly increased.

The invention discloses a playing method and a playing system of an interactive multi-view video. The method comprises the steps that a video terminal transmits a video request including a video identifier to a server; the video terminal receives a 3D (Three-Dimensional) model and a panoramagram of a video site corresponding to the video identifier fed back by the server; the video terminal receives a virtual viewpoint selected by the 3D model, and displaying the panoramagram corresponding to the virtual viewpoint; and the video terminal obtains video data corresponding to the virtual viewpoint, and plays the obtained video data. According to the technical scheme of the playing method, the operation pressure of the server can be reduced effectively, and the occupation of flow transmission between the server and the terminal can be reduced.

The invention discloses a fault detection system based on edge calculation. The fault detection system comprises a cloud server, an edge processing device, and an acquisition device. The cloud serveris used for training a neural network in advance and downloading the trained neural network to the edge processing device. After acquiring the state data of a grid device in a grid system, the acquisition device transmits the state data to the edge processing device. The edge processing device uses the neural network to analyze the state data, and the cloud server determines whether the grid device generates a fault according to an analysis result. It can be seen that the system, by downloading the neural network to the edge processing device, and can analyze the state data first by using theedge processing device during fault detection, thereby reducing the computing pressure of the cloud server and improving the fault detection efficiency.

The invention discloses an Internet of things networking system and method based on edge computing. The method comprises the following steps that: terminal equipment transmits scene data to intelligent gateway equipment, wherein the scene data include numerical data collected by a sensor as well as streaming media data collected by a pickup and the camera; the intelligent gateway equipment performs service processing on the received scene data, and is responsible for uplink and downlink data transmission; and a data aggregation platform receives periodically reported data from the intelligentgateway equipment and stores the received data in a database for an intelligent algorithm platform to train and optimize an algorithm file, wherein the algorithm file is used for updating an intelligent decision module of the intelligent gateway equipment to optimize service scenes. The scheme realizes the edge computing of the service scenes through the intelligent gateway equipment, thereby effectively improving the processing efficiency and real-time performance. In conjunction with the updating of a service algorithm module of an intelligent gateway, flexible adaptation to the service demands and environmental changes of different scenes can be realized, and the flexibility of the intelligent gateway is improved. When a center or network fails, normal operation of terminal scene services can be ensured, thereby achieving relatively high practical and popularization value.

The invention provides a method for replacing sensitive words in the call process of a mobile terminal. The method includes the steps that after a call instruction of a user is received, the mobile terminal is in a replacement mode; the mobile terminal records voice information of the user, semantic analysis and word segmentation processing are performed on the voice information so as to generate call words of the user, and the time point corresponding to each call word is recorded; the mobile terminal is used for analyzing the call words and judging whether the call words are the sensitive words or not; if the call words are the sensitive words, the mobile terminal replaces or eliminates the call words according to the time points corresponding to the call words. According to the method, the sensitive words are shielded through automatic processing of the voice information, therefore, call becomes more civilized, processing cost is low, the efficiency is high, and timeliness is good.

The invention relates to a Gaussian distribution resampling Rao-Blackwellized particle filter based mobile robot simultaneous localization and mapping method. The method comprises the following steps: S1, robot initial pose is estimated according to robot pose and mileometer control information; S2, a scan matching method is executed according to a map; S3, particle sampling is carried out in proposal distribution of trajectory; S4, weight of each particle is calculated and weight of each particle is updated; S5, particle resampling is carried out on the basis of Gaussian distribution: specifically, by sorting particle weight, high-weight particles are dispersed to obtain resampled new particles; and S6, the map is calculated according to robot pose and observation information, and map revision is carried out. By the method, reliable grid map precision can be obtained.

For accurately measuring the power consumption, the invention provides a power consumption prediction method for a system. The method comprises S1 data acquisition: acquiring the power utilization information of residents, industrial users and business users through an intelligent ammeter, acquiring the influence factor information through an external system, and generating a history table for the users at the same time; S2 analysis of power utilization rules for the users: performing fitting analysis of the acquired power utilization information of the users by means of combination with the history table, and obtaining the power utilization rules for the users through analysis; S3 analysis of influence factors: setting a load fluctuation range according to the user type, and performing analysis of influence factors for the time point surpassing the fluctuation range to obtain the influence value of each influence factor for the power consumption of the users; and S4 power consumption prediction for a system: predicting the future short-term power consumption for the system by means of combination of analysis of power utilization rules and analysis of influence factors. The prediction method shows a brand new development direction for short-term power consumption prediction in future, and can be widely applied to the prediction field with great significance.

The invention discloses a high-accuracy position correction positioning system based on cloud computing. The high-accuracy position correction positioning system comprises a client-terminal, a differential server and a differential reference station network formed by multiple differential reference base stations. The differential server is connected with the client-terminal and the differential reference station network via a communication module. The differential server receives single-point positioning information of the client-terminal and real-time pseudo range observation information of the reference base stations. When the client-terminal is insufficient in single-point positioning accuracy and requests to the differential server for high-accuracy positioning, the differential server solves positioning information correction number and a correction satellite set formed by multiple satellites on the basis of the received single-point positioning information and the real-time pseudo range observation information. The client-terminal solves accurate positioning information to perform accurate positioning by utilizing the correction satellite set and the positioning information correction number. According to the correction positioning system, an accurate positioning service can be intelligently, rapidly and accurately provided to the client-terminal so that positioning is rapid and positioning accuracy is high; and the client-terminal acts as a data provider so that the client-terminal is low in computation burden and low in flow consumption.

The invention relates to a method which can automatically analyze the propagation process of an internet hot subject, as well as a system thereof, and belongs to the intelligent information processing technology. As the textual information on the internet gradually increases, an important subject in the text mining and information retrieval field is to automatically detect and analyze the hot or sensitive subject from large text database, the subject has great use value. The invention utilizes the natural language processing approach to automatically analyze the propagation process of the text document in the given hot or sensitive subject; after the text documents in the subject are arranged in a time order, the reference origin of the current text document is searched by utilizing the pattern matching method from the first text document, if the reference origin isn't found, the reference origin is further judged by utilizing the text document similarity comparative method, at the same time, the corresponding source text document is obtained. At last, the reference relation is intuitively presented to the user in a graphic mode. The method is widely applicable to internet intelligent information processing, public opinion analyzing and monitoring, etc.

The invention provides an energy consumption data acquisition unit and method based on a multi-protocol parallel acquisition technology. An acquisition module of the acquisition unit comprises a data acquisition unit, a data processing unit, a data real-time value buffer unit, a data storage unit and a data uploading unit. The data acquisition unit comprises a plurality of acquisition interfaces of different protocols, corresponding protocol libraries are loaded according to configuration files, initialization is conducted according to initialization functions in the protocol libraries, and then data acquisition is conducted by the combination of a universal method and a specific method. The data processing unit is connected with the data acquisition unit, receives data acquired by the data acquisition unit and processes the data. The data uploading unit is connected with the data real-time value buffer unit and the data storage unit, the IP address of an energy consumption management center is set, ports of the energy consumption management center are arranged, initialization is conducted according to the preset initialization functions, connection with the energy consumption management center is built, and historical data continue to be uploaded or real-time data are uploaded.

The invention relates to a method and a device for forwarding a hyper text transport protocol (HTTP) request. The method comprises the steps of: judging whether a uniform resource locator (URL) of the HTTP request of a Web client is a URL requested by a Web form or a URL submitted by Web form data or not; forwarding the HTTP request when the URL of the HTTP request is the URL requested by the Web form and effective tokens are carried in parameters of the URL of the HTTP request; randomly generating a unique token if the token is not carried, splicing the URL of the HTTP request and the generated token into a new URL, discarding the HTTP request, and sending an HTTP response message requesting the redirection to the new URL to the Web client; and forwarding the HTTP request when the URL of the HTTP request is the URL submitted by Web form data, the HTTP request has the referrer value and the effective token can be extracted from the referrer. The method and the device have the advantages that the effective defense on cross site request forgery (CSRF) attack can be realized, and the computation overhead on a Web security gateway is greatly reduced.

The invention discloses a workflow engine and an implementation method of the workflow engine. The workflow engine and the implementation method of the workflow engine are used for reducing the network communication overhead. The workflow engine is downloaded to a browser of a client through a browser from a network server to carry out loading and running. The workflow engine comprises a workflow analyzer and a workflow execution controller, wherein the workflow analyzer is used for reading a workflow configuration file, analyzing a workflow definition model in the workflow configuration file, and generating a workflow instruction which is executed by the workflow execution controller, the workflow execution controller is used for loading a service object of a current workflow node according to the workflow instruction, and carrying out initialization; after operation of a corresponding service is accomplished, result data of service operation are calculated according to an arithmetic logic expression of the current workflow node; judgment is carried out on skip conditions of the current workflow node, if the current workflow node is a workflow end node, the workflow of the workflow engine is ended, if matching of a next workflow node is successful, the next workflow node is determined as the current workflow node, and the step of loading the service object of the current workflow node and the follow-up steps are continuously executed.

The invention provides a Block chain-based method for accessing a power Internet of Things terminal, comprising the steps of: connecting a to-be-accessed power Internet of Things terminal to a masternode, and initiating an authentication request; the master node responding to the authentication request, and randomly selecting nodes that meet the condition of a threshold number from the block chain to form an authentication group; encrypting a public key G and an identity ID of the to-be-accessed power Internet of Things terminal by using a private key to obtain a digital signature ciphertextX, and sending the identity ID, a terminal public value R and the digital signature ciphertext X to the master node; the master node encapsulating and sending the authentication request information toa member node of the authentication group; the authentication group running PBFT consensus algorithm, and obtaining an authentication result by performing distributed authentication through two-two exchanging of the authentication information between the nodes of the authentication group; generating a new block in the block chain, and returning confirmation information to the to-be-accessed powerInternet of Things terminal; and the power Internet of Things terminal returning encrypted confirmation information to an access gateway. The block chain-based power Internet of Things terminal access method can improve the security and efficiency of authentication.

The invention discloses a local path planning algorithm for an unmanned vehicle. The algorithm comprises the following steps: inputting parameters required by local path planning; selecting a previewpoint; performing trajectory planning based on the road coordinate system to generate a basic trajectory; matching the basic track with a road shape to generate an alternative track; calculating a speed limit value based on the alternative track and a corresponding speed limit position; optimizing the alternative trajectories to obtain trajectories executed by the unmanned vehicle, called optimaltrajectories; and planning the speed of the unmanned vehicle based on the optimal trajectory. According to the local path planning algorithm, the planning failure in a complex road is avoided, the local path planning in the complex environment is simplified, and the driving behavior is close to the driving behavior of people. The algorithm can effectively process the influence of static obstacles,dynamic objects, traffic signal lamps, various traffic facilities of a speed limit belt and the like on the unmanned vehicle in real time in a complex urban road environment.

The invention discloses an intelligent management method and system based on edge computing, and belongs to the technical field of edge computing. According to the invention,the data analysis and processing time can be shortened and the time delay is reduced; and when the network is interrupted and cloud crashes, it is guaranteed that edge computing can operate local computing software offline inan internal network; local autonomy is implemented, interconnection and intercommunication between the machine equipment can be realized through a local edge computing group which runs offline, so that a complete intelligent management network and system can be established; meanwhile, bandwidth resources for data transmission can be saved during networking, and the problems that data calculation and storage pressure is too high, flow is too high, application and development are difficult, and intelligence is insufficient during cloud on bottom-layer mechanical equipment are effectively relieved.

The embodiment of the invention provides a method, equipment and a system for multimedia content distribution. The method includes allowing service nodes to receive a request sent by a terminal and acquire a visit requirement of a first media content; allowing the service nodes to identify the type of the terminal, match a second media content matching with the terminal in types and return to the terminal from each media content stored locally according to the identified type. Each media content stored locally by the service nodes is information, configured by the service nodes according to media content and acquired through multi-format conversion of each original content sent by a CDN content center or acquired from the service nodes transmitted by the CDN content center after multi-format conversion of each original content is performed by the CDN content center according to the media content configured information. By the aid of the method, the equipment and the system, the problems that the existing service is high in computing pressure and storing pressure and low in operating efficiency are solved, and the problems that the media content sent by the service nodes cannot be played and watched normally since the media content cannot match with the terminal in types are avoided.

The invention discloses a method for expressing the processing of roads on a map. The method comprises the following steps: 1, importing road data of a map; 2, classifying roads; 3, coding the map vector data of the roads and giving the polygonal expression, particularly, creating three surface polygon models of road polygons, crossing polygons and road isolation zone polygons, two point models ofcrossing nodes and road blind end nodes and a line model of road center line, and coding the features of each road polygon model, creating an attribute table for the three major road models of points, lines and surfaces, and generating the map vector date in a compressed format at the same time; and 4, decoding and displaying the database. The invention has the advantages of simple method, low data redundancy, strong data analysis function and high graphic transmission speed, and meanwhile, the invention further has the advantages of high road classification accuracy and low cost. The invention can fully present the complicated urban road system through the different classification of surface road elements and the creation of road models.

The invention discloses a method and a device for processing traffic information in real time and relates to the field of navigation. The method comprises the following steps: collecting information of a position point by a collecting terminal according to a preset time interval; correcting the information of each position point by utilizing pre-stored map data; and uploading the corrected information of the position point to a server. The device comprises a collection module, a position correction module and an uploading module. In the embodiment of the invention, the position of an original position point is corrected at the collecting terminal, and the corrected information of the position point is uploaded to the server, so that the calculating pressure of the server is effectively reduced, thereby the parallel processing capability of the server is greatly increased and the operation cost of the server is sharply reduced.

The invention discloses a wireless network multi-path routing network transmission method aiming to solve the problem that the existing network coding transmission methods need many time slots, and have too many data transmission times and too high demand for nodes. The main steps of the method are network initialization and data transmission; the network initialization is mainly to determine the level of each node and the neighbor node information and complete networking; the data transmission is that a node judges the zone bits of message packets to perform different treatments to different kinds of message packets, judges the zone bits of the levels of message packets to selectively receive the desired information, judges the local information pool and neighbor information list to select the optimal network coding and performs primary data transmission to complete information transmission and the information transmission of the node. The invention has the advantage of less time slots and data transmission times and lower demand of nodes for network and can be used for multi-user wireless data transmission.

The invention discloses a police service cloud image recognition vehicle management and control system based on geographic space-time constraint. The system comprises an image data collection and decomposition module, an image retrieval module, a data storage module and a geographic information service module. The system is characterized in that the image data collection and decomposition module is responsible for collecting road images, extracting vehicle characteristics in the images and transmitting vehicle characteristic information in the images to the data storage module, the data storage module is used for storing the road images and image characteristic element data concerning the vehicle characteristic information in the images, the image retrieval module is used for responding to image retrieval requests of requesters, acquiring retrieval results meeting the image retrieval requests in an image retrieval mode mixing the image characteristic element data with geographic space-time constraint according to the image retrieval requests of the requesters and feeding the retrieval results back to the requesters, and the geographic information service module is used for responding to vehicle positioning requests of the requesters, acquiring vehicle space position information through a map server served by a geographic information platform and feeding the vehicle space position information back to the requesters.

The invention provides a personalized recommendation method and system for friends and applications. The method comprises the steps that A, a recommendation score S is calculated; B, recommended content is displayed according to the recommendation score; C, a recommendation weight vector is adjusted according to feedback information about the recommended content from a user; D, the recommended content is updated according to the adjusted user recommendation weight vector. The personalized recommendation method and system have the advantages that the application range is wider, recommendation results are more accurate, the calculating speed is higher, calculation at idle time is achieved, a blacklist mechanism is adopted, the accuracy of information recommendation can be effectively improved, calculation cost is saved, and a good recommendation effect is achieved.

The invention discloses a video recommendation method and device, a computer device and a storage medium, and belongs to the field of machine learning. The method comprises the steps of inputting a video into a first feature extraction network, performing feature extraction on at least one continuous video frame in the video, and outputting video features of the video; inputting the user data of the user into a second feature extraction network, performing feature extraction on the discrete user data, and outputting the user features of the user; performing feature fusion based on the video feature and the user feature to obtain a recommendation probability of recommending the video to the user; and determining whether to recommend the video to the user according to the recommendation probability. According to the method, for the user characteristics and the video characteristics, different networks are adopted for characteristic extraction, information in the user characteristics andthe video characteristics is prevented from being lost, and the video recommendation accuracy is improved.

The invention discloses an indoor mobile robot navigation system and method based on infrared landmarks. A monocular vision identification system collects an image of a luminous infrared landmark in an infrared landmark guidance system, and calculates the position of an indoor mobile robot relative to the current luminous infrared landmark through image processing; the indoor mobile robot is driven to move towards the luminous infrared landmark according to the relative position of the indoor mobile robot; after the indoor mobile robot enters the set area coverage of the current luminous infrared landmark, the monocular vision identification system issues a light emitting stop instruction to the current luminous infrared landmark, and issues a light emitting start instruction to next luminous infrared landmark; the monocular vision identification system makes the indoor mobile robot move to the next luminous infrared landmark according to the position of the next luminous infrared landmark, and so on; and the indoor mobile robot ends movement when moving to the set area coverage of the last luminous infrared landmark.

The invention provides a method for protecting account security based on an asynchronous dynamic password technology. The method is characterized by including the steps that a user and a service provider agree on the encryption mode of challenge codes and the calculation formula of dynamic codes; after a log-in request of the user is verified successfully, an authentication server generates the challenge code A, the challenge code B and the dynamic code C, the challenge code A is encrypted to obtain the challenge code B, and the challenge code A is calculated through the calculation formula to obtain the dynamic code C; the authentication server sends a feedback message containing the challenge code B to a mobile phone of the user; the user decrypts the challenge code B according to the encryption mode and then substitutes the decrypted challenge code B into the calculation formula to obtain the dynamic code D; the user inputs the dynamic code D and an account name in the log-in interface on the client side to log in. A system is high in reliability, the secrecy degree for transmitting the challenge codes and other information is high, leakage of code information of the user can be effectively avoided, and moreover user operation is safe and reliable.

The invention provides a VANETs position privacy protection query method under a fog computing architecture, which comprises the following steps: both a roadside unit RSU and a vehicular unit OBU areregistered to a third-party trust mechanism TA; a ring is formed between the adjacent roadside units RSU; the roadside unit RSU in the ring serves as a fog node in the ring and is provided with a pioneer node and a successor node, and a shared secret key is arranged between the adjacent roadside units RSU in the ring; when the vehicular unit OBU is connected to the vehicular self-organizing network VANETs for the first time, bidirectional access authentication is carried out between the vehicular unit OBU and the roadside unit RSU, and a temporary query code PID is issued to the OBU by the roadside unit RSU; and a query based on a position service is completed between the vehicular unit OBU and the roadside unit RSU by adopting an anonymous forwarding chain generated based on the ring formed by the roadside unit RSU. According to the method in the invention, the anonymous forwarding chain technology is applied to the process of a vehicle node of the VANETs protocol to carry out serviceinquiry; the anonymous forwarding chain technology is used, so that the position privacy of the vehicle node is effectively protected.

The invention relates to the field of distance imaging and three-dimensional imaging technology, in particular to a three-dimensional measurement chip based on a double-array image sensor. The three-dimensional measurement chip comprises two optical lenses, two CMOS (complementary metal oxide semiconductor) image sensor arrays and an image sensor control and processing circuit, wherein the two CMOS image sensor arrays and the image sensor control and processing circuit are made on the same semiconductor substrate; the optical lenses are wafer-level optical lenses which are arranged on the two CMOS image sensor arrays respectively; one of the two optical lenses is provided with an infrared filter or film and used for obtaining a common two-dimensional color image, and the other optical lens is used for obtaining a range image; and the image sensor control and processing circuit establishes a three-dimensional image according to the image information obtained by the two CMOS image sensor arrays. The invention also provides a three-dimensional measurement system based on the chip. According to the invention, the size of the measurement chip and the system can be effectively reduced, and the real-time property and accuracy of the measurement are improved.

The invention provides a map updating method, a map fusion updating method, a terminal and a server, and the map updating method comprises the steps: collecting the terrain information of an operationregion with a changed terrain after the operation is completed; and forming a first vector boundary according to the topographic information, and updating the current map. Aiming at the situation that the terrain is changed after operation, the map is automatically updated by collecting the changed terrain information, and the map updating efficiency is ensured; furthermore, the collected topographic information is uploaded to the server side and is accurately calculated by the server side, the map element increment accurate vector boundary is returned, the map is further updated, and the mapupdating accuracy is improved.

An embodiment of the present invention provides a cloud terminal, a cloud server, and a media data stream playing system and method. In the embodiment of the present invention, the cloud server does not decode nor play an original audio / video data stream, but sends the original audio / video data stream to the cloud terminal, so that the original audio / video data stream is decoded by the cloud terminal using a hardware decoder, which saves the network bandwidth, increases the network load capacity, reduces the promotion cost of the cloud terminal, and increases the playing performance of the media data stream.

The invention discloses a method, system and device of running a process. The method mainly comprises the following steps: dynamically migrating terminal process according to the terminal load, the server capability and the communication state, and migrating the process which should be run at a terminal side to a server side so as to run the process. Since the capability of a server and the network state between the terminal and the server can support the process migration, according to the scheme of the invention, the correct running of the process migration can be ensured, and the computingpressure to the mobile phone caused by the process running can be effective reduced.