82 results about "Service cloud" patented technology

The invention provides a cyclic feedback scheduling collaboration method based on an intelligent agent and cloud computing power service. The method comprises the following steps: memory recall: the intelligent agent receives a task demand, accesses a memory library to obtain historical experience entries, performs memory matching and memory fusion, generates memory recall information, and outputs the memory recall information to the cloud computing power service; cloud task planning: a cloud big language model understands task demand intentions based on memory recall information, decomposes tasks and generates executable descriptions, and an agent generates a preliminary task plan and calls a proper tool; performing action observation: performing operation by the intelligent agent, acquiring feedback data in real time, comparing an actual result with an expected target adjustment strategy, selecting a more suitable tool, and performing repeated execution until a task is completed; summarizing and reflecting: generating task execution tracks, integrating into experience entries, and storing into a memory bank. According to the method, historical memory, dynamic feedback and cloud computing power are combined, and the autonomous decision-making ability, execution efficiency and accuracy of the intelligent agent in a complex task are remarkably improved.

Technology for applying artificial intelligence to decide when to, and / or when not to, send a consumer of a computer system a communication recommending that the computer system be revised to include a more recent version of at least one of the following: a hardware component (for example, microprocessor(s)) and / or a software component (for example, an updated version of an app). The computer system, that is subject to modernization, may be owned outright by the consumer, or it may be purchased as a service (for example, infrastructure as a service, software as a service, package of cloud services). Some embodiments focus on modernization recommendations specifically tailored to cloud orchestration software that deploys containers.

The embodiment of the invention provides a resource configuration method, a resource configuration device, electronic equipment, a chip, a storage medium and a computer program product. The resource configuration method comprises the steps of collecting terminal side user data and service cloud side node data; and based on the terminal side user data and the service cloud side node data, configuring network resources for the terminal side user.

A system and method of securing a Function as a Service (FaaS) cloud computing system without using access rights to operating system (OS) kernels of the cloud service system. The method includes receiving a request to invoke a user-function associated with a computing language. The method includes executing the user-function within an operating system that executes on a processing device of the cloud service system. The method includes monitoring, by the processing device, a real-time behavior of the user-function using a security sensor that executes within the operating system, wherein the security sensor is without access rights to a kernel of the operating system. The method includes acquiring behavioral data indicative of the real-time behavior of the user-function.

A system can include one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations. The operations can include connecting an edge device located at a vehicle service site to a centralized vehicle service cloud platform. The edge device can execute a site controller application to manage operations at the vehicle service site. The operations also can include configuring one or more IoT devices located at the vehicle service site to capture monitoring data. The operations further can include receiving the monitoring data for usage by the site controller application. The operations also can include receiving a service request for a vehicle. The operations also can include generating and dynamically updating a schedule for the vehicle service site. Other embodiments are disclosed.

Cloud services, such as a storage service, are able to communicate through a virtual PCI request over a non-PCI bus by using a modified device driver that communicates with a network interface. One or more cloud services can execute on a same board or within a same Integrated Circuit (IC) as the network interface. The network interface adapts communications from the one or more services by allowing the services to use a PCI protocol despite that the services are not communicating with the network interface over a PCI bus.

Provided are a method, a system, and a storage medium for determining a demand level of service information. The method includes: obtaining first sensor information of a first production line; determining, based on the first sensor information, a candidate push object and a push demand value of the candidate push object; determining a target push object based on the push demand value; determining reference information of the target push object based on the first sensor information, and sending the reference information to an IIoT user platform corresponding to the target push object; in response to receiving a recommended demand, generating a recommended production parameter and / or a recommended monitoring parameter based on the reference information, and sending the parameter(s) to the IIoT user platform corresponding to the target push object to obtain confirmation information; and generating, based on the confirmation information, an adjustment instruction.

The invention belongs to the technical field of network cloud authentication, and relates to an SRv6-based network cloud authentication method, storage medium and device, and the method comprises the steps that a network client sends an SRv6-based network authentication request message to a network management cloud through a basic network; after receiving the SRv6-based network authentication request message, the network management cloud replies an SRv6 path packet to the network client initiating the request message; after receiving the SRv6 path packet, the network client processes the identity authentication information and sends the processed identity authentication information to the network service cloud; the network service cloud authenticates the identity authentication information, if the authentication succeeds, the network client accesses the network service cloud, and if the authentication fails, the network client does not access the network service cloud; according to the method provided by the invention, the identity authentication information of the network client is divided into a plurality of parts and is sent to the network service cloud through a plurality of paths, so that the sub-identity authentication information is forwarded according to different paths, and line repetition is effectively avoided.

The application discloses a kind of collaborative robot system and service process for active power grid marketing, belong to artificial intelligence and electric power marketing service technical field.System includes: robot perception interaction end, cloud intelligent analysis hub and dynamic customer memory bank, robot perception interaction end deploys lightweight vision model, real-time identification customer emotion, body state and explicit feature, and initiatively trigger service;Cloud intelligent analysis hub uses power grid knowledge enhanced large language model, carries out depth demand analysis and individualized strategy generation to multi-modal data;Dynamic customer memory bank stores customer historical interaction record and portrait information in the form of knowledge graph, realizes the continuity and memory of service.The application is through edge small model+cloud big model collaborative architecture, general AI capability and power grid business knowledge are deeply fused, so that robot can actively identify customer demand, provide marketing service, improve customer experience and marketing conversion rate of electric power business hall.

The application discloses an intelligent pipe cooling circulation control system and method based on ship lock construction, which comprises the following steps: dividing a ship lock construction structure into A pipe cooling circulation control subareas; covering the A pipe cooling circulation control subareas by B cooling circulation pipelines; receiving multi-dimensional data of each pipe cooling circulation control subarea by each edge key control node, and transmitting the data to a cloud cooling control service; after receiving the data, the cloud cooling control service generates A cooling circulation load demand risk coefficients based on a first deep learning algorithm; if it is judged that at least one of the A cooling circulation load demand risk coefficients is at risk, then the B cooling circulation pipelines are subjected to pipe cooling circulation control based on a second algorithm, and a PID control algorithm is used to adjust the cooling water flow and the cooling water temperature of the pipelines; the application realizes precise pipe cooling circulation control adjustment, improves the ship lock construction quality and reduces the risk of concrete hardening cracking through deep learning algorithm prediction and monitoring and the introduction of an unmanned aerial vehicle for the inspection of the outer surface of the cooling pipe.

The application discloses a lithium battery energy storage station cloud-edge collaborative intelligent fire-fighting linkage system and an implementation method. It comprises a fire service cloud platform system, a network layer, a sensing layer and a control layer. The sensing layer reports various data in real time. The network layer extracts a feature vector set to construct an effective feature parameter identification classifier. The control layer realizes comprehensive linkage fire extinguishing control. The fire service cloud platform system is used for processing data logic of a program and is responsible for accessing data in a database. The application has the beneficial effect that a plurality of operating state parameters representing lithium batteries of an energy storage station are preprocessed on an edge gateway side, such as feature extraction, statistical analysis, dimension reduction optimization and the like, and then trained and dynamically identified through an improved BP neural network model deployed in an intelligent fire service cloud platform. According to the identification result, early warning information is sent out. In combination with a fire-fighting linkage control system, a complete cloud-edge collaborative intelligent fire-fighting linkage control method is formed, so that the operating safety risk is greatly reduced.

Disclosed herein are system, method, and computer program product embodiments for identifying and removing orphan data in a Database-as-a-Service (DBaaS) cloud computing platform. In embodiments, a workflow is executed that accesses an event service database of the platform to obtain a list of deleted customer entities, queries a control plane of the platform to obtain a list of existing DBaaS instances, determines that a particular existing DBaaS instance is associated with a particular deleted customer entity, identifies the particular existing DBaaS instance as a potential orphan DBaaS instance, validates that the particular existing DBaaS instance is an orphan DBaaS instance, and in response to validating that the particular existing DBaaS instance is an orphan DBaaS instance, performs one or more of generating an alert that identifies the particular existing DBaaS instance as an orphan DBaaS instance or removing the particular existing DBaaS instance from the DBaaS cloud computing platform.

The invention discloses a highway networking charging management and information resource wide-area fusion scheduling system, relates to the technical field of intelligent traffic charging management, and constructs a highway networking charging management architecture with multi-level management from top to bottom in a management area, and establishes mutual access channels through a cloud service network. The global center management node supervises the working state of each resource scheduling management node, overall plans business cooperation among the resource scheduling management nodes according to the working state, and issues a scheduling instruction to each resource scheduling management node; the resource scheduling management nodes are mutually standby nodes, the corresponding toll lane systems and cloud seats are managed according to scheduling instructions, a road network resource scheduling management network is generated and maintained, the toll lane systems provide services for users passing through toll lanes of a toll plaza, and the cloud seats are used for remotely receiving and processing manual service requests. Through cross-regional scheduling and multi-warehouse mutual backup of the human resources, comprehensive clouding and unified scheduling of the computing resources and the human resources are realized.

The invention relates to the technical field of network communication, and provides a secure access service edge fusion method and device. According to the invention, a VXLAN tunnel is constructed between a service cloud gateway and an LAN port of SD-WAN vCPE; the branch terminal sends the original message to the access cloud gateway; the access cloud gateway forwards a first message obtained based on the original message to the service cloud gateway; the service cloud gateway converts the first message into a second message, so that the second message is forwarded to the SD-WAN vCPE through the VXLAN tunnel; and the SD-WAN vCPE processes the received second message to obtain a third message, and forwards the third message to headquarters equipment, so as to transmit the traffic of the branch terminal to the headquarters equipment, thereby solving the problems of low efficiency, high cost and complex configuration of the existing remote networking scheme, or large data transmission quality fluctuation caused by strong dependence on a public network.

The invention provides a wide-area cloud manufacturing industrial service system and method based on an Internet of Things large model. The system comprises a service cloud platform and a user platform, wherein the service cloud platform is configured to obtain a constraint index; determining first service data from historical service data corresponding to the user based on the constraint index; responding to the condition that the first service data meets user requirements, and displaying the first service data to the user through a user platform; and in response to the condition that the first service data does not meet the user demand, taking one or more candidate service data of which the matching degree meets a preset matching condition as one or more second service data, and presenting the one or more second service data to the user through the user platform. Through the system, real demands of a manufacturing enterprise can be obtained, and accurately matched service data is provided for the manufacturing enterprise, so that high-quality operation of wide-area cloud manufacturing industrial services is supported.

The present disclosure provides a cloud application processing method and device, electronic equipment and storage medium, relates to the technical field of computers, in particular to the field of cloud application, cloud service and cloud computing. The specific implementation scheme is: in response to detecting that an activation operation for multiple cloud applications is triggered, encrypting binding information corresponding to the multiple cloud applications to obtain first encrypted information. The binding information includes first certificate information and hardware identification information of a first client; sending the first encrypted information to a server, so that the server decrypts the first encrypted information to obtain first decrypted information; in response to receiving second encrypted information from the server, decrypting the second encrypted information to obtain second decrypted information. The second decrypted information includes verification success information and activation information; in response to detecting the verification success information, completing the activation operation for the multiple cloud applications by using the activation information, so that the first client performs multi-opening operation for the multiple cloud applications.

This invention proposes a method for optimizing mobile social security services based on a distributed and microservice architecture. Its technological breakthroughs are manifested in three core aspects: Elastic Service Cloud Network: Based on the self-developed PDFC framework, Spring Cloud microservice architecture, and Kubernetes containerization technology, microservices are deployed in a split manner, enabling dynamic scaling of microservice container nodes and second-level fault self-healing. Intelligent Data Hub: A cross-domain data channel is built based on Apache Kafka, collecting social security business data and health record data in real time with millisecond-level transmission efficiency. Intelligent Reporting Engine: An innovative three-dimensional intelligent reporting system is constructed. Pre-event reports are generated by parsing physical examination information; during-event reports are generated through dynamic monitoring of risk warnings; and post-event reports are generated based on actual business processing, achieving an upgrade and transformation of the governance model from "people seeking services" to "services benefiting people."

A data storage method and apparatus, and a computing device are provided. The method includes: in a process in which the first node processes a plurality of access requests, locally storing or caching hot data in the first node, migrating cold data to a cloud storage service, and locally storing or caching metadata of the cold data in the first node, where the cloud storage service is a service deployed by a cloud computing platform in a cloud computing resource, the cloud computing platform deploys a cloud database system in the cloud computing resource managed by the cloud computing platform, the first node is a primary database node or a secondary database node of the cloud database system, the hot data and the cold data are different data tables of the database or different table partitions of the data table, and the hot data and the cold data are determined based on either or both of a quantity of times and a data amount of accessing a table partition of a data table. According to the method, data storage costs can be reduced without affecting performance.

The invention relates to a large-scale wireless network automatic test system and method, the system comprises a test tool, a tested device, a business cloud and a mechanical arm, the test tool and the tested device are respectively in communication connection with the business cloud and the mechanical arm, the test tool is used for determining a control instruction according to a pre-configured test case, and the control instruction is sent to the tested device. Controlling the tested equipment through a transparent transmission interface or a mechanical arm of the business cloud based on a control instruction, wherein the control instruction is an instruction irrelevant to a protocol; and the test tool is also used for acquiring a device state returned by the tested device in response to the control instruction through the service cloud, judging whether the device state is consistent with the control instruction, if so, executing the next test case until all test cases are executed, and outputting a test report.

The invention discloses a communication channel selection method and an air conditioning system, and the communication channel selection method comprises the steps that an intelligent terminal issues a plurality of instructions to each communication channel in a set time period of a measurement mode; in any communication channel, the service cloud receives an instruction issued by the intelligent terminal and sends the received instruction to the access cloud, the access cloud sends the received instruction to the gateway, the gateway responds and feeds back a state to the access cloud, the access cloud feeds back the received state to the service cloud, and the service cloud feeds back the received state to the intelligent terminal; and taking the communication channel with the maximum number of times of state feedback successfully received by the intelligent terminal as the optimal communication channel. According to the communication channel selection method and the air conditioning system, the communication channel with the most state feedback times successfully received by the intelligent terminal serves as the optimal communication channel, and therefore the most stable communication channel with the highest success rate is accurately selected. The technical problem of inaccurate channel selection in the prior art is solved.

The present invention provides a train control system joint simulation test method, system and storage medium, the method comprising the following steps: obtaining a joint simulation test instruction, and identifying a target control system corresponding to the joint simulation test instruction by parsing the joint simulation test instruction, the target control system including multiple control subsystems; downloading a target data packet and a historical data packet of the target control system from a preset service cloud; analyzing the target data packet using the historical data packet to obtain a target data packet integrity test result and data value; selecting a joint simulation test mode in combination with the joint simulation test instruction, the integrity test result and the data value; constructing a simulation test environment based on the target data packet and according to the selected joint simulation test mode; and performing a joint simulation test on the target control system based on the simulation test environment and through the simulation test system. The present invention has the effect of improving the accuracy of software simulation testing.

The invention discloses a Photoshop-embedded AI image generation system and method, and relates to the technical field of AI image generation and design tool integration. The system comprises a key management module, an LAVIE PS plug-in module, a user binding tracking module and a cloud AI image generation service module. The method comprises the following steps: generating an access key with a fixed limit through a key management module; a user inputs a secret key through the plug-in embedded with the Photoshop and verifies the secret key; after the verification is passed, generating parameters are set and sent to the cloud service; the cloud calls the AI model to generate an image and returns to the plug-in for loading; and meanwhile, the tracking module records the use log and updates the quota. According to the method, seamless integration of an AI generation function and a design process is realized, the efficiency is improved, the problems of resource abuse, operation non-traceability and key security management are effectively solved through binding of the key quota and the user, and the method is particularly suitable for commercial AI image generation services.

This invention discloses a method, apparatus, server, and storage medium for multi-user management of cloud phones. The method includes: upon receiving a cloud phone login request, obtaining a login account based on the login request; determining at least two pre-allocated cloud phone containers based on the login account, and judging whether any of the two cloud phone containers are active and have been idle for less than a preset time threshold; if an active cloud phone container exists and has been idle for less than the preset time threshold, using that cloud phone container as a service cloud phone container; using the service cloud phone container to switch to the latest image corresponding to the login account, and providing cloud phone services to the login account. This saves cloud phone platform performance and reduces the time required for cloud phone startup or migration, allowing users to seamlessly transition from terminal use to cloud phone use, further improving the user experience.

The invention relates to the field of data security. The invention relates to a cloud encrypted system fault prediction method, which comprises the following steps that: step 1, a user arranges the frequency r of faults and the corresponding frequency f locally, and encrypts the frequency in interlaced data by ci = HeEnc (fi) by using a homomorphic encryption algorithm; and finally obtaining a batch of data and sending the data to the cloud service. Step 2, the cloud service performs expectation calculation on the received encrypted data (r1, c1), (r2, c2)... (rn, cn); the method comprises the following steps: firstly, calculating an expected value Ec = dx after calculating a total fault frequency; 3, the number t of times of user input represents the probability of t times of faults within the future one hour after the user hopes; the system sends t to a cloud service; after the cloud service receives the data, Poisson distribution calculation is carried out; the cloud service transmits a calculation result back to the user; and 4, the user decrypts the calculation result locally after obtaining the calculation result to obtain the probability of fault occurrence, so that subsequent maintenance work is arranged. The intelligent transformation complexity of an enterprise can be reduced, and the enterprise can conveniently apply intelligent achievements.

The present disclosure provides a virtual machine management method and device, electronic equipment and storage medium, relates to the technical field of computers, and particularly relates to the application fields of cloud services, cloud computing, big data processing and the like. The specific implementation scheme comprises the following steps: obtaining a virtual machine management request; using a computing node service deployed on an intelligent card, generating a management operation instruction for a target virtual machine based on the virtual machine management request; and sending the management operation instruction to a virtualization management program deployed on a physical machine; wherein the virtualization management program is configured to execute the management operation on the target virtual machine based on the management operation instruction.

The invention provides an SQL data set construction method and device based on a large model, electronic equipment and a readable storage medium, and relates to the technical field of artificial intelligence such as large models, deep learning, natural language processing, cloud services and cloud computing. The SQL data set construction method based on the large model comprises the steps of obtaining a target template data pair; preset information is input into the large model, a simulation database is obtained, and the simulation database comprises a simulation data table and structural information of the simulation data table; inputting the simulation data table, the structure information and the target template data pair into the large model to obtain a target query problem; inputting the structure information and a target query question into a large model to obtain a target SQL statement corresponding to the target query question; and obtaining an SQL data set according to an initial data pair composed of the target query problem and the target SQL statement corresponding to the target query problem. According to the method, the construction cost of the SQL data set can be reduced, and the construction efficiency of the SQL data set can be improved.

The present invention provides a ground meteorological element extreme value data interactive analysis system based on cloud technology, which relates to the field of meteorological information technology. The system includes: a cloud storage module for storing high-quality source data after quality control cleaning and pre-processing and analyzing the source data to obtain analysis data for service. The cloud service module is used to carry out data communication between modules, as well as to carry out user request analysis, identity authentication, target data retrieval, log update, load balancing, data transmission and other services. The cloud application module is used to realize interactive operation, data download and classified graphic display of target data. The present invention is developed based on the meteorological big data cloud platform (Tianqing) of the China Meteorological Administration, and solves the problems of meteorological extreme value analysis systems developed based on relational databases, such as general performance, support for multi-person high concurrent operation, inability to interactively display in real time, support for remote operations, and high labor cost consumption.

Disclosed are various embodiments for routing device traffic from one cloud to another cloud using connectors and account-based linking. In one embodiment, a serving cloud receives network traffic to be sent to a destination cloud different from the serving cloud. The network traffic is relative to a device managed in the destination cloud. A particular connector from a plurality of connectors that are capable of forwarding the network traffic from the serving cloud to the destination cloud is determined based at least in part on a connector selection rule set. The network traffic is forwarded via the particular connector to the destination cloud.

The invention relates to a remote control method, device and equipment, a vehicle, a storage medium and a program product. The method comprises the following steps: receiving a service certificate sent by a mobile terminal, and generating a first synchronization result of the service certificate; wherein the service certificate is obtained from the mobile terminal cloud platform based on remote service login operation input by a user; the first synchronization result represents that the service certificate is successfully synchronized; sending the first synchronization result to the mobile terminal; through the service cloud platform, receiving a signed remote instruction sent by the mobile terminal through the service component; verifying the signed remote instruction to obtain a first verification result of the signed remote instruction; and if it is determined that the first verification result represents that the signed remote instruction is successfully verified, vehicle operation corresponding to the signed remote instruction is executed. According to the invention, the information security of remote instruction transmission can be improved, and the remote control security of the vehicle is ensured.

The invention discloses a biological voucher processing system and a biological voucher processing method, which are used for solving the problems that the service timeliness cannot be met and the scene adaptation is poor due to processing delay in the prior art. The biological voucher processing system comprises a voucher management service, and an intermediate service, a cloud storage and an equipment management service which are respectively connected with the voucher management service. The device management service is connected with at least one device; receiving the to-be-processed image from the certificate management service through the intermediate service, and performing synchronous matting on the to-be-processed image to obtain a processed image; receiving the processed image returned by the intermediate service through the certificate management service, encrypting the processed image, and transmitting the encrypted image to the cloud storage; and receiving voucher data generated by the voucher management service through the device management service, determining a target device based on the voucher data, and issuing a voucher to the target device according to the voucher data, so that the target device obtains the encrypted processed image from the cloud storage.