772 results about "Cloud processing" patented technology

A system and associated method for securing sensitive data in a cloud computing environment. A customer system has proprietary data as a record stored in a database. The customer system associates a hashing directive with the record prior to sending the data out to a cloud for computing services. The hashing directive classifies each data field of the record into sensitive and transactional. The hashing directive controls a mode of hashing, either one-way hashing or two-way hashing for each sensitive data field associated with the hashing directive. A cloud receives the record secured according to the hashing directive and process the record to generate a result value for a cloud process result field of the record. The customer system reconstitutes the record the record according to the mode of hashing indicated in the hashing directive.

The embodiment of the invention provides a cloud processing system, a cloud processing method, and a cloud computing agent device, as well as a cloud storing and processing device and a client, wherein the cloud processing system comprises a client, a cloud server and a cloud client device; the cloud client device is connected with the client and the cloud server; and the cloud client device is used for receiving the cloud processing request messages sent out by the client, so as to provide service for a client instead of the cloud server. The embodiment of the invention further provides the corresponding cloud processing method, the cloud computing client device and the cloud storing device. By adopting the method, the device and the system provided by the embodiment of the invention, the information safety during the cloud processing can be improved.

The invention provides an intelligent robot control system, method and device based on artificial intelligence. The system comprises a decision engine arranged on an intelligent robot and a cloud control center. The decision engine is used for generating cloud processing information according to multi-modal input signals received by the intelligent robot, sends the cloud processing information to the cloud control center for analysis to obtain user requirements, and controls the intelligent robot according to the user requirements and/or the multi-modal input signals. The cloud control center is used for receiving the cloud processing information, analyzes the cloud processing information to obtain user requirements and returns the user requirements to the decision engine. The intelligent robot control system can utilize on-line mass information fully and raise the storage and operation capability to process complex decisions, can response user instructions rapidly and intelligently in time, and raises the user experience.

The invention discloses an industrial Internet of Things system based on edge computing, and the system comprises a data collection module, an edge gateway, and a cloud processing platform; the data collection module is used for collecting the original data of a field device; The edge gateway is used for converting the original data into standard data, carrying out real-time analysis on key data in the original data, carrying out real-time intelligent processing on the field equipment according to an analysis result, carrying out classified packaging on the standard data, carrying out protocolconversion on the standard data, and sending the standard data to the cloud processing platform; And the cloud processing platform is used for carrying out data analysis, system monitoring and energymanagement according to the data from the edge gateway, and sending a data analysis result to a corresponding Internet of Things application. Through the edge gateway, the data transmission cost canbe effectively reduced, and the real-time decision and response of the key service can be ensured; By utilizing the powerful management capability of the cloud platform, mass data access is supported,a safe and reliable message processing capability is provided, and enterprises are assisted to integrate value chains and quickly construct innovative Internet of Things services.

The invention relates to a retail terminal goods shelf image intelligent analyzing system which comprises a sample collecting unit, a retail terminal target image collecting system, and a cloud intelligent image analyzing unit, wherein the sample collecting unit is used for collecting sample image information, the retail terminal target image collecting system is used for collecting image information of goods shelves at a retail terminal, and the cloud intelligent image analyzing unit comprises a feature extraction part, an image segmentation part, a pattern recognition part, and a data analyzing unit. The feature extraction part analyzes target images, obtains color feature data of sample images, and establishes a sample database by the utilization of the data. The feature extraction part further analyzes images collected through a target image collecting system and extracts color feature data of the target images at the retail terminal. The image segmentation part segments the target images to further recognize an outer frame of single goods. The pattern recognizing part recognizes goods of the target images. The data analyzing unit collects and/or analyzes information obtained through other parts in a cloud intelligent image analyzing system. Through the system, the retail terminal goods shelf image intelligent analyzing system based on the cloud processing method is capable of providing display and arrangement information of products quickly, reliably and in a low-cost mode.

The invention discloses an unmanned plane autonomous flight cloud control system. The system comprises a ground control station, a cloud server, an unmanned plane device and an aerial photography device. Real-time autonomous flight of an unmanned plane involves establishment of a course planning control analysis module based on real-time information, the ground control station carries out preliminary automatic planning of a course by use of flight coordinate scope information, in case of low-attitude flight, aerial photography data acquisition is carried out on landform space information by use of the aerial photography device, the information is transmitted to the cloud server by use of a 4G network through the ground control station, three-dimensional real-time visualization space modeling of aerial photography data is carried out by use of a cloud processing technology, through combination with a DEM and space topology relation, real-time course correction is carried out on an unmanned plane task flight preliminary course, flight control signals are returned to an autopilot, and thus autonomous flight of the unmanned plane is realized.

A system is provided for managing data sets in a cloud processing and/or federated environment. In an embodiment, the system described herein may be used in connection with cloud processing of big data sets. The term “big data,” as used herein, may be generally defined to describe data sets so large and complex that they become difficult to work with using on-hand database management tools. The system described herein enables the persistent storage of semantic technology statements for big data sets for processing in a cloud processing and/or federated environment.

Certain example embodiments relate to a framework that helps address dynamic scalability and in-order processing of payloads, e.g., pertaining to B2B and/or other transactions. A receiver and/or sender is/are able to dynamically and/or statically provide an executable to an intermediary entity (e.g., a central payload processor or CPP) to process and/or otherwise transform payloads, en-route. This arrangement advantageously provides a very efficient way of delivering ordered content, especially when the content is extremely large. Cloud processing and/or storage facilities may be implemented in certain example instances, parallel sending and/or receiving may be provided, etc., in addressing issues relating to how to send large amounts of data over large distances to possibly multiple recipients.

The invention provides a 4D real traffic scene simulation based severe weather early-warning management system and method. The system comprises a multi-factor omnibearing tracking detection radar sensor, a data collection and analysis processor, a cloud processing server and main equipment of a 4D simulation management work station; a radar tracks vehicles and pedestrians on the road, obtains position information of the vehicles and pedestrians, and triggers a license plate snapshot camera to carry out real-time snapshot on vehicles synchronously; the system obtains node weather information ofthe present road to simulate the traffic road condition environment in a 4D manner and start an early warning rule, the road which the vehicles/pedestrians are passing is determined according to theposition information of the vehicles and pedestrians; and the alarm information is sent to the vehicles and pedestrians to pass the road in a point to point or broadcasting manner to make alarm prompt. According to 4D real traffic scene simulation, a road manager can use the system to make an emergency plan, carry out road control and rescue of vehicles and pedestrians in an accident, informationis pushed to avoid the planned route, and the risk of high-speed travel in the severe weather is reduced.

The invention relates to a wearable human body feature information collecting and monitoring system which comprises at least one wearable wireless human body feature data collecting and transmitting module, at least one intelligent terminal and at least one open type cloud end processing platform. The wearable wireless human body feature data collecting and transmitting module is used for collecting the heartbeat rate and the respiratory rate of a human body. The intelligent terminal is used for being in communication with the wearable wireless human body feature data collecting and transmitting module and controlling the data collecting and storing of the wearable wireless human body feature data collecting and transmitting module. The open type cloud processing platform is used for being in communication with the intelligent terminal, processing data of the wearable wireless human body feature data collecting and transmitting module based on a data analyzing and feature extracting algorithm, automatically generating a report containing an analyzing result and then automatically informing a user. According to the wearable human body feature information collecting and monitoring system, due to the fact that massive human body features are collected and extracted, features of various diseases in different stages can be found effectively, and the user is prompted to pay attention to the own body changes through the comparison with the daily human body features.

The invention provides a control system and method of an artificial intelligence drive robot. The system comprises a receiving module, an artificial intelligence module, a central processing unit, a cloud processing module and an executing module. The method comprises the steps that scene information of the surrounding and voice and/or visual information of a user are acquired; a comprehensive decision is made after recognition and understanding according to voice and/or visual information; the intention of the user is confirmed, and the robot gives a response; and a treatment result is outputin multiple modes including one or more of moving of the intelligent robot, action of a mechanical arm and/or a head, expression video image display on a screen, and audio playing. According to the method, artificial intelligence analysis and decision can be carried out locally or through cloud uploading according to acquired voice and/or visual information, the robot is automatically controlledto be in interactive feedback with the user in multiple manners, much hardware can be arranged outside, a designer quickly expands a machine body, and an artificial intelligence result can be intuitively and effectively achieved on the robot.

The invention provides a five-dimensional early-warning system based on artificial intelligence multi-factor panoramic monitoring detection. The system comprises at least one front-end artificial intelligence multi-factor panoramic monitoring detection device and a center management device; each front-end device comprises a central control processing unit, a camera team connected with the centralcontrol processing unit, a multi-factor sensor, a communication module, a mobile terminal and an interface unit; the multi-factor sensor comprises a brightness light intensity sensor, a temperature and humidity sensor, a rainfall sensor, a wind speed and direction sensor, and a comprehensive gas sensor; the camera team comprises multiple zoom cameras and an IPC infrared thermal imaging camera; thecentral control processing unit mainly accomplishes the operations of performing mosaic fusion and data collection, logic operation and logic control output on the received image information according to a mosaic algorithm; the center management device performs field five-dimensional pattern real-time display through a big data cloud processing platform. Five groups of video streams are output tothe external, thereby supporting a 180-DEG or 360-DEG panoramic seamless mosaic video stream.

The invention discloses a high-precision map-based cloud control automatic driving task generating method. The method comprises the following steps: acquiring GPS information of a road by using centimeter-level high-precision positioning equipment, performing coordinate rotating conversion on a GPS track, performing curve fitting and selecting high-precision points to acquire the GPS sequence of a lane level of each road, establishing a high-precision map suitable for automatic driving and storing in a cloud server; and in the actual automatic driving stage, receiving an initial position and destination combined high-precision map and vehicle information in a global range from a vehicle by a cloud side, generating the route of the lane level, planning a driving task from the route of the lane level to form a task sequence, and issuing to the vehicle to perform execution and realize automatic driving. By the high-precision map-based cloud control automatic driving task generating method, hardware calculation resources of the internet and the cloud side are effectively utilized, and the complexity and the cost of the vehicle are reduced; and the cloud side masters the global traffic information, application of cloud processing, big data and artificial intelligent technology is benefited, and the automatic driving technology can be iterated and improved rapidly.

The invention relates to an intelligent urban information monitoring system based on power carriers and a wireless network, which comprises an intelligent streetlamp system. The intelligent streetlamp system consists of a plurality of streetlamps and streetlamp controllers, the streetlamp controllers are connected with a centralized controller, the centralized controller is connected with a control center, the streetlamp controllers can transmit working states of the streetlamps to the control center via the centralized controller, and simultaneously, the centralized controller can receive streetlamp control commands outputted by the control center and can lead the streetlamp controller to regulate the working states of the streetlamps according to the corresponding streetlamp control commands and environmental parameters. The power carrier technology, the WiFi (wireless fidelity) wireless network technology and 3G (the third generation) wireless communication technology or a GPRS (general packet radio service) mode are adopted to form a foundation network of an internet of things, various information acquisition sensors and controllers are used accessorily, data integration is carried out by the intelligent urban information monitoring system and the existing internet so that a public cloud processing platform is formed, integration of a human society and a physical system is realized, and effectiveness and reliability of monitoring are improved.

A cloud desktop system comprises a management end, a cloud server and cloud terminals; the cloud server forms a physical machine for a plurality of virtual machines, and the cloud terminals correspond to the virtual machines on the cloud server. An operating method for the cloud desktop system includes the following steps: users are connected with the cloud server through the cloud terminals, each user corresponds to a different virtual machine, and when the users use the cloud terminals to work, data are actually processed by the cloud server, while the local cloud terminals only assume the work of data transmission and display. Compared with the conventional working mode, the cloud infrastructure can more sufficiently utilize resources, excessive hardware investment on the local end is avoided, the operating cost of work is saved, the pressure of hardware upgrading is avoided, and since the structure of the cloud terminal is relatively simple and the fault rate is low, the cost of later maintenance is further reduced as well.

The invention provides a renting system based on an Internet of Things intelligent door lock. The system is characterized in that the system comprises an identity information input terminal which is used for inputting user identity information, namely user characteristic information, to complete user registration, the Internet of Things intelligent door lock which is used for issuing instructions and information according to the system to allow a legitimate user to enter a rental house in a specified time period, a cloud processing platform which is used for storing the user characteristic information input by the user on the identity information input terminal to authorize the Internet of Things intelligent door lock to allow the legitimate user to enter the rental house in the specified time period, and a user client which is used for supporting online house renting. Through in-depth integration with wireless and wired Internet technologies, the user of the system can quickly and conveniently perform various formalities in a house renting process, which saves time and effort. The involvement and workload of a broker of a letting agency which uses the system can be significantly reduced in leasing businesses. The labor cost and even the overall operating cost of the company are substantially reduced. According to the invention, the headache problems of a renter, such as rent arrears, unauthorized replacement or introduction of new renters, are effectively solved.

The invention relates to a road side parking management system based on terrestrial magnetism and camera array linkage and a method thereof. The management system comprises a terrestrial magnetism vehicle sensor, a camera array, a controller, a background cloud processing platform and a terminal, wherein the camera array, the controller, the background cloud processing platform and the terminal are sequentially connected, the terrestrial magnetism vehicle sensor is connected with the controller, the camera array shoots parking stall images in real time, the image data is stored in the storage equipment and is further transmitted to the controller and the storage equipment, a linkage signal sent by the terrestrial magnetism vehicle sensor is received by the controller to carry out parking stall positioning, the information is transmitted to the background cloud processing platform after license plate identification and vehicle record, and the charging information is then sent to the terminal after the background cloud processing platform caries out parking charging. According to the management system, the terrestrial magnetism vehicle sensor and the camera array are employed to realize intelligent management on an open parking lot, the artificial error operation rate can be effectively reduced, and the reliability degree of the parking management system is greatly improved.

The invention relates to an unattended intelligent parking management system in an open area. The system comprises a buried intelligent photographing and sensing terminal, a cloud processing platform and a user terminal; the buried intelligent photographing and sensing terminal comprises a superconductive induction module, a supersonic induction module, a vehicle electronic label identification module, an electronic license plate sensing module, a shooting module and an information emission module; the cloud processing platform comprises an information transmission module, a parking stall vacancy information determining and positioning module, an image processing module, a timing module, an order generation module, a payment module, an information storage module and a big data processing module, and the big data processing module is used to arrange and calculate habits and information of users; and the user terminal includes an information reception and sending module. The system and method provided by the invention can prevent vehicles from leaving a parking lot without payment and can effectively guide parking in the open area.

The invention provides a pump remote intelligent control system based on a mobile Internet. The pump remote intelligent control system based on the mobile Internet is a remote monitoring and control system. Signals of sensors are transmitted to a control center and a cloud processing system through a controller; workers in the control center can process the signals according to data; the cloud processing system can transmit the processed data to a mobile phone APP; a client can remotely monitor the running condition of a pump; and if the pump needs to be controlled, the rotating speed of a motor of the pump and the opening degree of an exit valve can be controlled directly through a mobile phone, and therefore the flow and the lift of the pump are controlled, and the pump can run on a high-efficiency point as far as possible. If the data exceed a preset value, an alarm can be given through the mobile phone, the client is informed of the situation, pre-warning is performed in advance, and large safety accidents are avoided.

A traditional Chinese medicine pulse-taking sensor device comprises a pulse-taking array sensor, and the sensor array position is designed according to the gold standard of diagnosis of the portion above the wrist end, the wrist end, the processus styloideus radii, the elbow end and the portion below the elbow end.The traditional Chinese medicine pulse-taking sensor device comprises a difference closed-loop sampling system, a pulse-taking instrument, a traditional Chinese medicine pulse-taking diagnosis and treatment system and a traditional Chinese medicine pulse-taking system health service platform.The health service platform comprises a cloud storage and cloud processing platform, is used for conducting cloud storage on detection results, and matches later-period diseases and selecting treatment schemes by using cloud computing.Stability and repeatability of taking patient pulses are ensured through mechanical design, pulse data of a patient is collected more objectively and accurately through the difference closed-loop sampling system, traditional Chinese medicine resources are optimally configured through an Internet of Things implementing scheme, and the cognition degree of people to traditional Chinese medicine is improved.The 25-point array is set according to the portion above the wrist end, the wrist end, the processus styloideus radii, the elbow end and the portion below the elbow end, and array arranging space with a good diagnosis and treatment effect is obtained.

The invention discloses a task scheduling cloud processing system and method. The system comprises a management console, a plurality of task scheduling cloud service nodes and a log database for storing a running log, wherein each task scheduling cloud service node is equipped with a task scheduling resource recognizer, a control command executor, a fault migration monitor and a running log recorder; by using the technical scheme, the cloud processing system has the advantage of a soft fault migration function without the hot backup of double servers and multiple servers in task scheduling; therefore, the single-point fault of the system is avoided, and the cost is saved.

The invention provides a four-dimensional real scene traffic simulation vehicle overspeed whole-process tracking detection and alarm system and method. A vehicle capture camera is utilized to capturetravelling vehicles in real time to obtain characteristic information of the vehicles; real-time tracking positioning data of the vehicles are obtained through an omni-directional tracking and detection radar; a data acquisition and analysis processor extracts preset overspeed rules in a cloud processing server to judge whether the vehicles overspeed or not, conducts target lock and tracking on the overspeed vehicles, judges whether the vehicles illegally occupy a lane and overtake or not by combining with vehicle images of the vehicles, and generates alarm information to be reported to the cloud processing server so as to remind the vehicles to decelerate and remind the front vehicles on the same lane to avoid the overspeed vehicles, and thus vehicle accidents are avoided; and the cloud processing server records the starting time, the overspeed time and overspeed road sections of vehicle overspeed in time according to the alarm information, stored alarm videos, and vehicle travellingpaths collected and formed by the omni-directional tracking and detection radar distributed in a full path mode, the alarm information is formed in time, and thus vehicle accidents are avoided.

The invention discloses an Poisson method for cloud removing of optical remote sensing image, which comprises the steps of: selecting basic base map image and alternative image which meet treatment of image removing cloud layer by using image selector; identifying and detecting the range of cloud layer coverage area through cloud area identification unit, making formation cloud area identification template respectively; using the base map image, the alternative image and cloud area identification plate by pyramid processing to construct multi-level similar unit; proceeding Cloud area pixel detection progressively and connected cloud area detection to each grade pyramid, and alternative image detection to connected cloud area of cloud identification template which is processing; seeking linear transformation parameter by using image gradient field regulation pixel to corresponding cloudless point department of the alternative image and basic base map image around connected cloud area; taking non-cloud megapixel point around connected cloud area of basic base map image as Dirichlet boundary condition, and linear transformation alternative area image gradient field as guide field, proceeding fusion processing to the image by using Poisson removing cloud processing algorithm.

The present invention discloses a real-time monitoring and threat analysis method and system based on deep learning and relates to the field of intelligent monitoring based on deep learning. The method comprises the following steps that: 1) a video acquisition unit collects video information; 2) a video analysis and processing unit sequentially performs neural network-based image preprocessing, grid extraction layer-based target detection, and deep neural network-based threat analysis to obtain analysis results and sends the analysis results to a video cloud processing server; and 3) the videocloud processing server transmits the analysis results to a video display unit to output the analysis results, and real-time monitoring and threat analysis are completed. The technical scheme of thepresent invention solves the problems of poor real-time performance and accuracy due to the large amount of monitoring data in the existing monitoring system, and low efficiency due to the large workload of the monitoring staff, and achieves effects of reducing the pressure of analyzing the monitoring data by the security personnel, reducing labor costs and improving security efficiency.