63 results about "Cloud communications" patented technology

The embodiment of the invention discloses a security deployment method and device for enterprise-level applications and a medium, and relates to the technical field of security deployment, and the method comprises the steps: obtaining application topological graph data generated by a preset visual development platform, so as to split the application topological graph data into an atomized micro-service unit set through a quantization deconstruction engine, generating a micro-service dependency tree; scanning the target deployment environment, extracting an environment feature fingerprint of the target deployment environment, and generating an environment adaptation layer code according to the environment feature fingerprint; injecting an environment adaptation layer code into each atomized micro-service unit to generate an environment perception type micro-service package, and constructing a cross-cloud communication link matrix based on the micro-service dependency tree; and based on the environment-aware micro-service packet and the cross-cloud communication link matrix, executing a deployment verification test in the sandbox environment, generating a deployment verification report, and according to the deployment verification report, distributing the environment-aware micro-service packet to a target deployment environment node.

The invention discloses a cloud private line communication method, an access switch and gateway equipment, which are applied to scenes of bidirectional forwarding detection, cloud communication and the like of a cloud private line. The method comprises the following steps: an access switch receives BFD message information, wherein the BFD message information comes from a user edge router; sending the BFD message information to a first gateway device and a second gateway device, so as to establish two BFD sessions with the first gateway device and the second gateway device at the cloud private line gateway side through a user edge router, and provide a dual BFD session mechanism; when first closed state message information generated based on the dual BFD session is not received, determining that at least one cloud private line link in the first cloud private line link and the second cloud private line link is in normal communication; and instructing the user edge router to perform communication between the user edge router and the cloud private line gateway through at least one cloud private line link with normal communication, and maintaining the first BFD session and the second BFD session to ensure the stability of cloud private line communication.

The invention discloses an Internet of Vehicles information security situation assessment and decision optimization method based on reinforcement learning, which is applied to vehicle-vehicle and vehicle-cloud communication scenes. The method comprises the following steps: step 1, collecting multi-source Internet of Vehicles security data; 2, preprocessing the multi-source data, and extracting a feature vector reflecting the security situation of the Internet of Vehicles; 3, inputting the feature vector into a reinforcement learning model, and outputting a defense action by the model according to the current security situation; 4, executing a defense action and obtaining a reward signal, wherein the reward signal is generated based on the change of the security situation of the Internet of Vehicles; and 5, updating parameters of the reinforcement learning model according to the reward signal, and optimizing the security situation assessment and defense decision of the Internet of Vehicles. The system adopts a multi-agent cooperation mechanism of federal learning, and the defense knowledge is shared between each vehicle node and the road infrastructure, so that the cooperative defense capability is improved. The method has the advantages of adaptability and distributed cooperation, and can effectively deal with diversified security threats in the Internet of Vehicles.

The embodiment of the invention provides a risk detection method, system and device and electronic equipment. The risk detection method comprises the following steps: performing real-time risk detection on flow content of cloud communication to obtain a real-time risk detection result and corresponding log information; determining a flow sender of cloud communication and current flow information of the flow sender based on the log information; determining an abnormal score of the current traffic information of the traffic sender based on the historical traffic information of the traffic sender, and determining whether the current traffic information of the traffic sender is abnormal based on the abnormal score of the current traffic information of the traffic sender; and if it is determined that the current traffic information of the traffic sender is abnormal, performing secondary risk detection on the traffic content of the traffic sender, and determining the traffic content with risk as the traffic content to be manually audited according to the secondary risk detection result. A large amount of repeated manual auditing work is reduced, the number of manual auditing is reduced, and the efficiency is improved.

A method for configuring virtual private cloud (VPC) communication between a first and second VPC is provided. The first and second VPCs having a same private network address segment. The method includes binding a first VPC private network address with a first address, the first address belonging to the third VPC private network address segment; binding a second VPC private network address with a second address, the second address belonging to the third VPC private network address segment, the first address being different from the second address; configuring a packet source address to be the first address, the packet being sent by the first VPC and destined for the second VPC, using the first address, and configuring a packet destination address to be the second address. A third VPC private network address segment is different from the private network address segment of the first and second VPC.

The invention discloses a vehicle-to-vehicle high-security encryption communication method and related equipment, and the method comprises the steps: carrying out the identity verification of a target vehicle through a cloud vehicle networking platform in response to a communication connection request of the target vehicle, building the vehicle-cloud communication connection between the target vehicle and the cloud vehicle networking platform, and marking the target vehicle as a trusted security vehicle; based on the quantum key management platform, a quantum key set is regularly issued to the trusted security vehicle through the cloud vehicle networking platform; and carrying out communication encryption on direct communication between the sending end vehicle and the receiving end vehicle based on the quantum key set. In order to prevent data leakage during vehicle-to-vehicle security communication, the security of the vehicle is verified through the cloud vehicle networking platform, and then the quantum key encryption communication technology is adopted for the trusted security vehicle, so that communication security encryption and decryption between vehicles are realized based on the regularly issued quantum key set sight line, high-security encryption communication is ensured, and the security of the vehicle-to-vehicle security communication is improved. The method can be widely applied to the technical field of communication encryption.

A power quality analysis system includes a smart breaker network having a smart meter coupled to a load and structured to measure power quality parameters; a cloud including a hub that is coupled to the smart breaker network and structured to receive the power quality parameters from the one or more smart meters, a data manager structured to store data including at least the power quality parameters, a power quality analysis (PQA) algorithm structured to identify the power quality parameters to be measured and analyzed and define thresholds for the power quality parameters, and a PQA engine that is structured to read the power quality parameters and perform PQA of the power quality parameters based at least in part on the PQA algorithm; and an output device communicatively coupled to the cloud and structured to expose resultant data of the PQA to an end user.

This invention belongs to the field of distribution network technology and discloses a method and apparatus for hierarchical planning and configuration of cloud-edge-end communication, computing, and storage in a distribution network. The method includes: configuring cloud-level computing and storage resources based on cloud-level data backlog; configuring cloud-edge data backhaul communication resources based on edge-cloud data offloading status; calculating edge-level computing resources based on cloud-level resource configuration to account for edge-level data backlog; configuring edge-level storage resources based on edge-level data backlog; configuring edge-cloud data offloading and edge-end data backhaul communication resources based on data offloading status; making edge-level data offloading decisions to the cloud based on edge-cloud communication resource configuration; and calculating end-level data backlog based on edge-level resource configuration, and making terminal data offloading resource configuration and data offloading decisions to the edge based on edge-end communication resource configuration. This invention improves the multi-service operation efficiency of the distribution network by planning the cloud-edge-end layers and configuring resources based on data backlog and resource status at each layer.

Systems and methods for receiving monitoring data are described. An example system includes one or more edge computing resources in communication with at least one gateway via a network in communication with one or more user devices. The one or more edge computing resources include one or more processors configured by computer-executable instructions to receive, via the at least one gateway, monitoring data from the one or more user devices; store the monitoring data in a local memory of the one or more edge computing resources; determine, based on analyzing the stored monitoring data, a status corresponding to a user device of the one or more user devices; and transmit a notification associated with the status.

The invention relates to the technical field of automatic driving, and particularly discloses a double-domain cooperative system, an operation domain controller and a control method of an automatic driving bus, and the system comprises an automatic driving domain controller, the operation domain controller and an inter-domain safety communication unit. Wherein an operation exclusive vehicle cloud communication link is established between the operation domain controller and the operation cloud platform and is used for receiving an operation instruction issued by the operation platform, executing an operation action and / or generating an operation controlled request; the inter-domain safety communication unit divides a state abstract channel sent by the automatic driving domain controller to the operation domain controller and an operation controlled request channel sent by the operation domain controller to the automatic driving domain controller; the state abstract channel is used for transmitting vehicle driving state information; the operation controlled request channel is used for transmitting an operation controlled request. According to the invention, dual-domain cooperative control of inter-domain physical isolation, reliable instruction direct connection and data grading security sharing can be realized.

The invention belongs to the technical field of construction project management and cloud communication, and discloses a construction project management cloud server communication method based on AI big data, and the method specifically comprises the following steps: 1, collecting and preprocessing multi-dimensional state data; network environment data of a construction site and working state data of terminal equipment are collected in real time by deploying a network detection node and an equipment end communication module through a cloud server end, and the network environment data comprise bandwidth, delay, packet loss rate, jitter, wireless signal strength and network topology connection state of each candidate communication path; the equipment working state data comprises an equipment type, a working mode, a to-be-transmitted data volume and a data priority. Dynamic adaptation of communication parameters of the construction project management cloud server is achieved through the AI big data technology, the problem that existing static configuration cannot cope with violent network fluctuation and equipment state dynamic change on a construction site is solved, and the reliability, the real-time performance and the resource utilization rate of communication are remarkably improved.

The application discloses a highway unmanned toll collection system based on 5G cloud communication interconnection, adopts 5G cloud communication technology, can realize fast and stable data transmission, improves the communication efficiency of the highway unmanned toll collection system, and through use of a high-resolution camera and a density image recursive processing algorithm, can quickly and accurately identify vehicles intelligently, based on cloud computing and an advanced vehicle identification algorithm, the system can realize intelligent toll calculation, avoids errors and disputes in traditional automatic toll collection systems, meanwhile, unmanned operation of the application can greatly reduce operation cost, improves the passing efficiency and traffic safety of the highway, and solves the problem that the existing highway unmanned toll collection system usually needs to slow down or stop vehicles during identification and toll collection.

The application provides a data processing method, which can be applied to an end-cloud communication system or other systems requiring protection of data privacy. The method comprises the following steps: a user end can generate a transmission path by confusing a plurality of nodes randomly selected from a large number of relay nodes, other user ends or other service ends; and the user end can perform multi-layer encryption on data according to node information on the transmission path. In this way, in the process of transmission of the multi-layer encrypted data in the transmission path, each relay node on the transmission path can only decrypt one layer of data corresponding to the relay node, and the next layer of data obtained is in an encrypted state, so that each relay node cannot determine its position in the transmission path and cannot determine the source of the first encrypted data, and a service end cannot determine the source of the encrypted data after receiving the encrypted data. In this way, the security of data transmission is improved, and the anonymity of communication is improved.

The invention discloses a service flow processing method, a communication flow processing method and a computer program product. The method relates to the field of communication system design in the field of cloud communication, and comprises the following steps: in response to a received processing instruction of a first service process, obtaining first configuration information of the first service process, the first configuration information comprising processing steps of a plurality of functional components in the first service process; determining a first running server which is successfully started in the running server cluster; and based on the first configuration information, processing the plurality of functional components in the first service process through the first operation server. According to the method and the device, the technical problem of inconsistent states of the service process in the running server cluster is solved.

This system enables monitoring of potential human and animal targets within a surveillance space or through obstacles, without using cameras or relying on cloud communication. [Solution] CSI between transmitting and receiving wireless devices is acquired locally, and the difference from the vacant room standard, respiratory cycle, movement occupancy rate, subcarrier deviation distribution, etc. are integrated to estimate the number of human candidates, representative respiratory peaks, and animal candidates. The estimation results are displayed in a three-dimensional pseudo-display, local AI comments are generated, and in the event of danger, a summary notification is sent via email or mobile phone notification as needed.

The invention discloses a PC5 communication site test method for a vehicle-road-cloud integrated system, and relates to the field of site test, and the method comprises the steps: a test preparation stage comprises the steps: providing an operation environment for the collection, comparison and analysis of test data, and completing the communication deployment and function initialization of a vehicle-road-cloud three-terminal test system; the communication performance test comprises the following steps: evaluating the link layer capability and the transmission quality in the process that the RSU broadcasts a message to a test vehicle through a PC5 direct connection communication interface; the message accuracy test comprises the following steps: receiving a message in real time through a vehicle-mounted device, and comparing and analyzing the message with truth value data acquired on site to realize error quantification and functional consistency verification of key information elements in the vehicle-road cloud system; the evaluation and judgment stage comprises the following steps: based on data obtained in the communication performance test and message accuracy test stage, carrying out quantitative analysis on the operation quality of the tested RSU and the whole vehicle-road cloud communication link, and constructing a unified performance evaluation system.

The invention discloses an efficient personalized customization method for an end-side recommendation model under end-cloud collaboration. The method realizes personalization and compression of an end-side recommendation model through mixing precision quantification, and comprises the following steps: an end-side user portrait generator maps a user interaction sequence into a user representation and uploads the user representation to a cloud; a cloud parameter importance extractor (multi-level super network architecture) analyzes the representation, outputs level, channel and element level three-granularity parameter importance scores, integrates the scores into a mixed precision quantization strategy, and encodes and issues the mixed precision quantization strategy; and the end-side equipment carries out mixing precision quantification on the personalized recommendation model according to a current resource (memory, computing power and the like) decoding strategy, and finally, efficient personalized recommendation reasoning is realized. According to the method, the end cloud communication overhead and the end-side calculation burden are remarkably reduced, the recommendation accuracy and the user experience are improved, and the method is suitable for an end-side recommendation system with heterogeneous equipment.

A locking and release system of a lock fitted on a vehicle comprising: a mechanical lock (10, 70) which is fixed on a door of a vehicle; an electronic circuit (11) associated with said lock (10, 70); said electronic circuit (11) comprises a Bluetooth communication device (13); an Internet communication device (14); a GPS localization device (15); said system further comprises: a cloud (30) containing the data for the management of said system; a management centre (35) of said system; said management centre (35) is adapted to communicate with said cloud (30); a smartphone (21); said smartphone (21) comprises a Bluetooth communication device (22); an HTTPS communication device (23); and a GPS localization device (24); said electronic circuit (11) and said smartphone (21) are adapted to communicate with said cloud (30); said smartphone (21) is adapted to communicate with said electronic circuit (11); said lock (10, 70) opens if the following conditions are met: the GPS position of the lock (10, 70) coincides with the delivery position; the GPS position of the smartphone (21) coincides with the delivery position; said smartphone (21) is recognized by the system; said lock comprises coupling means (56, 74), located on a first door adapted to close against closing means (59, 71) located on a second door and locking means (60, 78) adapted to lock said coupling means (56, 74) in the closed position.

This invention provides a vehicle-to-cloud communication method, device, electronic device, and computer storage medium. In this method, the vehicle is treated as the resource owner, similar to a server-side concept. The vehicle exposes data interfaces via protocols such as HTTP / WebSocket (i.e., vehicle application services expose their external service capabilities through APIs), allowing cloud applications or in-vehicle applications to call these services via API requests. This achieves service-oriented architecture for in-vehicle services to cloud applications, i.e., end-to-end service-oriented architecture. The vehicle-to-cloud communication protocol (API request method) is simpler; cloud apps can call target services from the vehicle via API requests, offering good versatility and fully leveraging the advantages of vehicle-side service-oriented architecture. It highlights the vehicle's central role, making it a participant in the distributed system. This service-oriented design maintains consistency in cloud application development and lays the foundation for future integration of vehicles into larger systems.

The application discloses a kind of operator checking method, checking system and vehicle end controller, it is related to the field of automobile, in vehicle end controller setting preset running period, after generating trigger event, within the preset running period, the data return function of vehicle end controller operator is disabled, the situation of the operator is checked using the preset storage space corresponding to vehicle end controller, without uploading the processing data obtained by the operator processing trigger event to cloud server, by prohibiting the processing data obtained by the operator processing trigger event to be uploaded to cloud server, avoid the situation of "data storm" impact vehicle cloud communication and cloud service, improve operation safety;After the end of the preset running period, the data return function is in available state, upload the processing data obtained by the operator processing trigger event to cloud server, so that the operator can continue to use in vehicle end controller after being checked, without reloading, improve the efficiency of operator deployment.

The invention provides a data transmission method and device in the Internet of Vehicles, a medium and a vehicle. The data transmission method comprises the following steps: after a congestion window is returned, adjusting the size of the congestion window based on the priority of application data and / or the current channel capacity of a wireless communication link; and performing flow control on the transmission of the application data based on the adjusted congestion window. According to the method, the size of the congestion window is adjusted through the priority of the application data, and diversified application traffic transmission requirements in vehicle cloud communication can be met; and the size of the congestion window is adjusted through the current channel capacity of the wireless communication link, so that a dynamic Internet of Vehicles communication environment can be quickly adapted, and the transmission efficiency is improved.

Method and system (100) for training N client-specific models of N clients for anomaly detection of each of the N clients (M1-M9), wherein the system (100) comprises N clients and a server (104) or a cloud, wherein each of the N clients (M1-M9) can communicate with the server (104) or the cloud.

The application provides a communication resource quality evaluation method and device and electronic equipment, and relates to the field of cloud communication. In the embodiment, task execution information of a plurality of communication tasks executed by using a communication resource in a first time period and result feedback information obtained in a second time period are acquired. The second time period contains at least part of the first time period, the end time of the second time period is later than the end time of the first time period, and the time length of the second time period is greater than that of the first time period. In the result feedback information obtained in the second time period, the result feedback information of the plurality of communication tasks executed by using the communication resource in the first time period is determined. More result feedback information of the communication tasks in the first time period can be obtained. According to the task execution information and the more result feedback information, quality evaluation information of the communication resource is determined. The accuracy of the communication resource quality evaluation can be improved, and the success rate of scheduling the communication resource to execute the communication task is improved.

The present invention discloses a method, a detection device, a detection equipment, and a computer-readable storage medium for rapid detection of on-site compliance of an automatic fire alarm system based on the Internet of Things. This method performs fusion processing on the spatial point cloud data and visual image data collected on-site, extracts the three-dimensional spatial coordinates of the target fire alarm equipment, and compares them with the spatial deployment threshold range issued by the cloud platform to complete the automatic determination of the physical deployment compliance of the equipment. Secondly, the end-cloud communication delay is calculated by recording the on-site trigger timestamp and the cloud response timestamp, and at the same time, the state set of the linked devices is collected and mapped and compared with the linked logic topology matrix stored in the cloud platform to complete the automatic verification of the linked logic compliance. Finally, the physical deployment compliance status and the linked logic compliance status are integrated to generate a comprehensive detection result, thereby establishing a compliance closed-loop verification mechanism between the on-site physical space and the cloud digital system.

The modular valve skid 100 includes a plurality of valves, a supply and discharge module 6, a data communication module 7, and a diagnostic module 8. At least one of the plurality of valves has at least one integrated sensor configured to detect an operating condition of the modular valve skid. The at least one integrated sensor is electrically connected to the diagnostic module 8 to send a sensor signal to the diagnostic module 8. The diagnostic module 8 is configured to receive and process the sensor signal of the diagnostic module 8 to identify the operating condition. The modular valve skid 100 is configured to provide data associated with the operating condition of the modular valve skid 100 via at least one of a user interface disposed in the diagnostic module 8, an industrial Ethernet link, or a wireless network and / or cloud communication link.

The application discloses a configurable method of an edge computing device end edge cloud communication protocol, a standard data type representation method is constructed, cloud end data is classified according to data types, and different types of data are numbered to define data mapping IDs; a mapping relationship of the data is constructed based on the data mapping IDs and the data types of the data to form a configuration file. The method of combining general data type definition and data mapping enables the same protocol to be compatible for different types of products in a manufacturer under the condition of ensuring the safety of the internal data protocol of the manufacturer, meanwhile, through the unification of the data protocol, the development efficiency is improved, the product maintainability of the manufacturer is improved, the data of various manufacturers is unified, and the configuration file mapping different data only needs to be modified instead of being developed again, so that the product stability is improved, the maintenance burden of the developer is reduced, the maintainability is higher, the data uniformity is good, and the standardization degree is high.

The present disclosure relates to a harvesting system for variety of grain crops. The harvesting system comprises a harvester control unit, a grain loss monitoring GLM-ECU, a cloud communication interface ECU, a plurality of sensors, a controller area network (CAN), a buzzer / alarming device, a display unit, a cloud and a mobile application. The GLM-ECU is configured to process signals from a sieve sensor and a straw walker sensor. The harvester control unit is configured to process signals received from the plurality of sensors and the cloud communication interface ECU serves as an interface to interchange the data between the harvester control unit and the cloud. The harvester system results in increase in productivity and trust among the stake holders by virtue of real-time information sharing.

The application discloses a bus data backhaul method and system, electronic equipment and a storage medium. The method comprises the following steps: collecting layers to capture each CAN bus message generated by a vehicle in real time; screening the CAN bus message containing a pre-configured target signal from the CAN bus message, and sending the CAN bus message to a trigger calculation backhaul layer and storing the CAN bus message in a hard disk; the trigger calculation backhaul layer uses corresponding trigger operators to calculate the target signal in each CAN bus message received, and generates trigger information entries of each CAN bus message in which the calculation result satisfies the corresponding trigger condition in a database; the trigger calculation backhaul layer extracts the trigger information entries of the unbackhauled CAN bus message in sequence, and finds the corresponding CAN bus message from the hard disk according to the extracted trigger information entries; and the trigger calculation backhaul layer returns the found CAN bus message to a vehicle cloud communication layer, so as to upload the returned CAN bus message to the cloud.

This application relates to a method, apparatus, new energy vehicle, computer-readable storage medium, and computer program product for obtaining a vehicle-to-cloud communication security certificate. The method includes: monitoring a vehicle's power-on broadcast message using a pre-registered broadcast receiver; upon detecting the power-on broadcast message, initiating a pre-configured certificate service based on a rewritten callback method in the broadcast receiver; if the certificate service is initiated, determining the current status of the certificate used for vehicle-to-cloud communication security in the vehicle; if an anomaly is detected in the current certificate status, checking the vehicle's network connection; if the vehicle's network connection is valid, constructing a temporary communication channel for vehicle-to-cloud communication based on a temporary certificate file and a temporary private key; sending a certificate request to the cloud and receiving certificate information returned by the cloud based on the temporary communication channel; and saving the certificate information to a target path for use in vehicle-to-cloud communication. This method helps ensure the security and stability of vehicle-to-cloud communication.

The application discloses an end-edge-cloud multi-level federated learning knowledge transmission method and device, the method comprises the following steps: in each round of cloud communication, training the model parameters of the local client model by using the local data to obtain a trained local client model; performing parameter aggregation based on the model parameters of the trained local client model with the same structure to obtain a parameter aggregation result; updating the model parameters of the edge model according to the parameter aggregation result, and performing knowledge transmission by using the updated model parameters of the edge model and a preset public data set. The application overcomes the limitation that the same model is shared between the federated learning client and the server, alleviates the problem of system heterogeneity in the federated learning, and enhances the flexibility of the federated learning.