15 results about "Cloud user" patented technology

This invention utilizes BIM software to process pre-acquired equipment structure data into BIM equipment data, which is then displayed in CAD software to create a 3D model. Through twin technology, real-time variable data during equipment operation is synchronously simulated within the 3D model, thereby constructing a dynamic simulation platform. The operational scenario data is then unidirectionally output to the cloud for storage. This accurately synchronizes the 3D operational details of the equipment, converting the operational scenario data into an AR scene labeled with real-time equipment status parameters in the cloud. During equipment diagnostics, after authorization, client terminals or cloud users can access the real-time equipment status parameters within the AR scene based on control commands, enabling information interaction. The client terminal and cloud are connected via an authorized protocol. This facilitates the training of maintenance personnel, addresses the high risk of maintenance errors leading to low equipment maintenance efficiency, and thereby improves equipment maintenance security.

The application relates to a method and system for controlling multi-level security classification of cloud users, and belongs to the technical field of computers.The method comprises the following steps: judging whether a scanning server is normally running; in the case that the scanning server is normally running, determining the security levels of a subject and an object based on a BLP model and a Biba model, the subject being used for indicating a user or a process that sends an access resource request, and the object being used for indicating data or resources that are accessed; performing read-write operations on the subject according to the security levels of the subject and the object; in the case that the read-write operations are performed on the subject, setting the permissions of the subject, and adjusting the security level of the object based on abnormal alarm information.The method can significantly improve the security of a cloud environment, enhance the access control accuracy, optimize the cloud environment management, and promote compliance.Commonly, a safer, more reliable and efficient cloud service environment is provided for cloud users.

The application discloses a novel KVM cloud host micro-isolation method, comprising a virtual machine kernel micro-isolation module based on a Netfilter framework, a host rear-end processing module for realizing a semi-virtualization channel and a cloud host micro-isolation management platform for providing a cloud user with a network strategy configuration interaction capability of a cloud host, and has the beneficial effects that based on a semi-virtualization technology and a kernel Netfilter framework Hook technology, kernel layer configuration capability of a virtual machine network is realized, and through strategy priority control, the problem of invalid security control caused by malicious or incorrect application layer configuration is avoided; based on a semi-virtualization channel, configuration data interaction is realized through a host processing rear-end and the cloud host micro-isolation management platform, a host network is used, a tenant network is not used, and when a strategy configuration is incorrect, the configuration channel can be used for repair, and the problem of cloud host disconnection caused by incorrect network strategy configuration is avoided.

The invention discloses an electric power information network security protection system and method based on a distributed neural network probe. The system comprises a distributed neural network probe, a threat intelligence storage center, a decision center, a dynamic strategy executor, a decoy module and an immune memory module, the distributed neural network probe is in communication connection with the threat intelligence storage center, and the decoy module is in communication connection with the threat intelligence storage center, the decision center and the dynamic strategy executor in sequence. The decoy module and the immune memory module are respectively in two-way communication with the decision center, distributed neural network probes of the decoy module comprise a terminal probe, a network probe and a cloud probe, and the threat intelligence storage center adopts a mixed framework of a time sequence database, a relational database and a document database. According to the invention, global coverage from terminal process behaviors, network traffic to cloud user activities can be realized, and the discovery capability of an electric power system to unknown threats and hidden attacks is greatly improved.

The invention relates to a user management method, a storage medium, a body fat scale and a user management system. The method comprises the following steps: receiving a user information modification request sent by a terminal, if it is determined that a first cloud user identifier is associated with a first local user identifier from an association relationship between stored cloud user identifiers and local user identifiers of the body fat scale, modifying the first cloud user identifier according to a modification content; and modifying stored user information corresponding to the first cloud user identifier. Wherein the user information modification request comprises a target user identifier and modification content, and the target user identifier comprises a first cloud user identifier or a first local user identifier. Therefore, the user information in the local body fat scale and the user information in the application server can be synchronously modified, the user information in the local body fat scale and the user information in the application server are synchronously managed, the flexibility and reliability of user management operation of the body fat scale are improved, and then the accuracy of body indexes generated by the body fat scale based on the user information can be improved.

The application relates to the technical field of operating systems, in particular to a kernel-mode virtual switch of a Xiongmao operating system. The kernel-mode virtual switch of the Xiongmao operating system adopts an operating system kernel module to provide virtual switch services, supports loading and logging off of the kernel module, supports a standard virtual local area network (VLAN) model and a trunk relay mode, an overlay superposition tunnel, media access control (MAC) forwarding, Internet protocol (IP) routing, a lightweight database, quality of service (QoS) configuration and management, a source MAC load balancing mode, flow control and monitoring, a security group, network address translation (NAT) and Internet protocol version 6 (IPv6). The kernel-mode virtual switch of the Xiongmao operating system can effectively improve the processing speed of network data packets, guarantee network bandwidth indexes and improve the network use experience of cloud users.

The invention provides a method and system for providing a cloud application, electronic equipment and a storage medium, and aims to solve the problems that the cloud application is weak in universality and low in configurability and cannot provide customized cloud application services for enterprises, and the method comprises the following steps: obtaining various program components developed according to cloud demands of users, product categories to which the program components belong are distinguished; displaying different product categories for the cloud users for selection and use; assembling the program components of the same product category into a new application service according to the product category selected by the cloud user, and combining the application service into a new cloud product by carrying out personalized configuration on the business process; and publishing a new cloud product, and after the product is successfully published, automatically generating login information to provide cloud product service for a cloud user. According to the method and the device, the randomly assembled cloud service capability can be realized; and the plasticity, remoldability and freedom of the product are improved, and cloud services meeting the requirements of the user are provided for the user.

The application discloses an automatic parking control method, system and car. The method comprises the following steps: obtaining a user's expected shortest distance from a cloud corresponding to a user's driver account, obtaining an actual shortest distance from a historical parking record of a vehicle, then performing weighted average calculation on the two shortest distances to obtain a shortest distance of this time parking, and updating an automatic parking control strategy according to the shortest distance of this time parking, and the vehicle performs automatic parking according to the updated automatic parking control strategy, wherein the shortest distance in the application is the shortest distance between the vehicle's front end and a front obstacle; the application obtains the key index of the shortest distance of this time parking by performing weighted average calculation on the cloud user's expected shortest distance and the local actual shortest distance, realizes that different users have their own automatic parking control strategies, realizes personalized parking for thousands of people, and enhances the safety of automatic parking of the vehicle.

The application provides a non-intrusive household electrical load identification and safety warning method and system, belonging to the technical field of non-intrusive load monitoring; the method comprises: collecting total road electric signals on the edge side, extracting multi-dimensional load characteristics and detecting load switching events; when an unmatched event is detected, triggering a cloud collaborative federated learning incremental update mechanism to realize global model optimization under the premise of protecting privacy; when the identification result is uncertain, a similar device candidate list is pushed to the user, and the model parameters and feature weights are updated according to the user correction feedback; the system comprises: an edge side device, a cloud platform and a user terminal, which jointly constitute an end-edge-cloud-user collaborative closed loop architecture; the application realizes adaptive identification of new devices, stable maintenance of long-term identification accuracy and positive optimization cycle of user participation, effectively improving the intelligent level of non-intrusive load identification and the safety of household electricity.

The invention discloses a risk communication solution method and device based on cloud-side cooperation, a medium and equipment. The method comprises the following steps: acquiring a cloud user access data set and a side user behavior data set of a calling user terminal; respectively carrying out feature extraction on the cloud user access data set and the edge user behavior data set to correspondingly obtain a cloud basic feature set and an edge basic feature set; based on the cloud basic feature set and the edge basic feature set, extracting a space risk feature set and a time risk feature set in a preset time period; and inputting the cloud basic feature set, the edge basic feature set, the space risk feature set, the time risk feature set and the risk solution measure set into a multi-task supervised learning model to obtain an optimal risk solution measure set. According to the invention, the identification accuracy of the risk number and the effectiveness of risk number management and control can be improved.

The invention discloses a shared automobile cabin adaptive adjustment method, apparatus and device, and a program product. The method comprises the steps of obtaining user identity information of a target user, current cabin software and hardware information of a target shared automobile and current driving scene information; matching in a cloud user database according to the user identity information and the current driving scene information to obtain a plurality of historical cabin parameters, and determining historical cabin software and hardware information corresponding to the historical cabin parameters; determining the priority of each historical cabin parameter according to the similarity between the historical cabin software and hardware information and the current cabin software and hardware information, and determining a target cabin parameter according to the historical cabin parameter with the highest priority; and issuing the target cabin parameter to the target shared automobile, so that the target shared automobile performs cabin adjustment according to the target cabin parameter. According to the invention, non-inductive synchronization and accurate adaptation of the cabin habits of the user among different shared vehicles are realized, the shared vehicle use experience of the user is improved, and the method can be widely applied to the technical field of intelligent cabins.

1. The name of the design product: graphical user interface for double screen setting operation of computer. 2. The use of the design product: for running programs and displaying information. 3. The design points of the design product: the graphical user interface content in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Other views are conventional designs, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the interface of the design product is a double screen setting graphical interface of cloud PC user terminal, there are two setting methods to facilitate users to quickly set the graphical interface of different accounts on two displays; the graphical interface of the front view is the default initial interface. The first setting method: long press and drag the user account to enter the interface of design 1 change state figure 1; place the user account in the corresponding display icon area, when the user account is set in the corresponding display icon, enter the interface of design 1 change state figure 2. The second method: click the setting icon, long press and drag the user account to enter the interface of design 2 change state 1, place the user account in the corresponding display icon area, when the user account is set in the corresponding display icon, enter the interface of design 2 change state figure 2.

Systems and methods for providing drone activity cloud services to cloud consumers using cloud and edge computing are provided. The drone monitoring service is rendered by drone sensors detecting and identifying drones, cloud and edge servers aggregating drone activity data from sensors and UAS traffic management systems, and cloud consumers monitoring drone activities using cloud and edge devices to access the cloud. The drone data analytics service reports drone activity statistics, predicted drone activities, and abnormal behaviors to cloud consumers based on the statistics and behavior models obtained by machine learning and federated learning techniques. The drone mitigation service, when initiated by cloud consumers, determines how to optimally configure sensors and collaboratively send signals to deactivate unauthorized drones. Moreover, data processing, artificial intelligence, mobility support, and traffic management functional units empower cloud and edge servers to support these cloud services.

In certain examples, a method includes obtaining, at a single sign-on (SSO) broker, an identity event associated with a user of a private cloud; requesting, by the SSO broker and in response to obtaining the identity event, a user information set corresponding to the user from a private cloud platform corresponding to the private cloud; providing the user information set to an identity access management (IAM) tool of the SSO broker; and updating a realm of the IAM tool to reflect the identity event based on the user information set.