62 results about "Context object" patented technology

The invention provides an agent collaborative question-answering method and system based on context awareness and authority control, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring user query, and triggering a user context manager to generate a session state user context object containing a permission label and preference; the central scheduler performs task decomposition based on the query intention and the context, dynamically selects an intelligent agent through a multi-dimensional scoring model and binds a knowledge source; the authority-aware agent execution engine executes triple authority verification and intermediate result desensitization processing in the whole process, and supports agent fault tolerance and audit log recording. The method realizes unification of knowledge security and access flexibility, supports multi-scene adaptive question and answer, and has good expandability and fault-tolerant capability.

The invention relates to the technical field of base frame operation and maintenance, can be applied to business scenes such as financial science and technology and medical health, and discloses a context object-driven patch processing method, device, equipment and medium, and the method comprises the steps: extracting an equipment attribute identifier, an operation state identifier and a routing path identifier from an operation environment of target equipment to generate a context object, creating a patch definition, verifying the patch definition in a security sandbox, submitting and approving the patch definition to form a patch version identifier, configuring an environment isolation condition in combination with an effective range, issuing a patch execution instruction carrying the patch version identifier, the environment isolation condition and a hook definition, triggering patch script application repair logic, and calling a cache cleaning tool to process a resource cache. And collecting logs and indexes to generate a monitoring record, and executing rollback or off-shelf operation based on the monitoring record to finish the patch task. Through combination of dynamic patch definition, instruction issuing and version management, safe distribution of front-end patches is realized, and the stability and maintainability of the system are improved.

The invention provides a business processing method and device based on multi-agent collaboration, equipment, a medium and a program product, which can be applied to the technical field of digital human and artificial intelligence. The method comprises the following steps: in response to a service request initiated by a user through a first service channel, obtaining input information of the user, and creating or updating a session context object corresponding to the service request; analyzing the input information, generating a subtask sequence, and writing the subtask sequence into a session context object; according to the subtask sequence, a corresponding target agent is scheduled to execute operation, and an execution result is written back to the session context object; monitoring updating of the session context object, and generating a migration decision for migrating from the first service channel to the second service channel under the condition that the updated session context object meets a cross-channel migration condition; and based on the migration decision, synchronizing the session context object to the second service channel in a full amount, so that the business of the user is handled in the second service channel.

The invention relates to the field of production line state monitoring, and particularly provides a production line state monitoring and MES integration notification method and system, and the method comprises the steps: collecting multi-modal data, and constructing a unified state context object; performing space-time alignment and dynamic weight fusion based on a process stage on the multi-source asynchronous data to obtain a feature vector; reasoning a semantic current state of the production line through a time sequence mode recognition model; generating an enhanced data set based on the state context and the current state of the production line, and outputting a structured state event through anomaly detection and root cause analysis; outputting an optimal response strategy through a predefined decision rule in combination with MES service information; and packaging the strategy into an operation instruction which can be identified by the MES and issuing the operation instruction, and driving the MES to execute work order creation, billboard updating or message notification. According to the method, semantic diagnosis, global decision and automatic response of the production line state are realized, so that the production transparency, the decision accuracy and the operation and maintenance automation level are improved.

The invention discloses a pluggable Kubernetes cluster deployment method, a medium and equipment, and solves the problems of rigid deployment process, serious component coupling and low fault recovery efficiency in the prior art. The method comprises the following steps: receiving user module label combination and node resource information through a visual interface, and carrying out structured storage as a deployment context object; after the object is analyzed, a dependent support module is automatically identified and added, a cluster architecture mode is dynamically determined based on the number of Master nodes, and a DAG of a deployment task is constructed; module deployment is executed according to the DAG sequence, and only the fault module and downstream dependency thereof are retrying when failure occurs. According to the method, plug and play of the component is realized through label driving, a deployment process is dynamically arranged based on DAG, intelligent framework cutting is supported, accurate fault isolation and local recovery are realized, time consumption of component switching and resource occupation are greatly reduced, and deployment flexibility and operation and maintenance reliability are remarkably improved.

The invention provides an asynchronous parallel-based service processing method, system and device and a storage medium, and the method comprises the steps: initializing a service context object according to a service type identifier in a request; a preprocessing rule script corresponding to the service type is loaded and executed through a dynamic rule engine, and parameter verification, service pre-check and context initialization are carried out; a plurality of asynchronous processing rule scripts corresponding to the service types are loaded and executed in parallel, each asynchronous processing rule script corresponds to one service task and is packaged into an asynchronous task, the asynchronous tasks are executed in parallel, and a result is written into a service context object; and loading and executing a result processing rule script corresponding to the service type through a dynamic rule engine, aggregating results of the different step tasks, and generating and returning a service response after applying a final service logic. Parallel processing can be realized through a three-stage asynchronous processing architecture, multi-core CPU resources are fully utilized, and the throughput and response speed of the system are improved.

The invention particularly relates to a medical artificial intelligence system and method based on situation intelligence and multi-agent cooperation, and relates to the technical field of medical artificial intelligence. Performing context analysis and task planning; selecting and scheduling an expert agent; and performing collaborative execution and result convergence. According to the invention, multiple modules cooperate to greatly optimize the clinical working process, and the diagnosis and treatment efficiency and decision accuracy are improved; the unified context bus can aggregate multi-source heterogeneous data such as patient diagnosis information, allergy history and examination results in real time, and automatically standardizes the data into structured context objects, so that the tedious operation of manually arranging and dispersing data by medical staff is avoided, and a large amount of data preprocessing time is saved; the context awareness and intelligent orchestration engine accurately schedules an adaptive agent by means of the logic reasoning ability of a large language model, and avoids the logic vulnerability of artificial task decomposition.

A method for identifying and storing a flag memory in a context object memory is provided, the method including receiving one or more content items. The content items each have one or more content data. One or more content data associated with one or more content items may be provided and integrated into one or more embedded models that represent an increasing set of contextual memories. Contextual memory relates to the ability to recall content from the past of an individual, such as in the form of flag memories, which may be filtered out from multiple memories based on the degree of significance. One or more flag memories and references to related content items are inserted into contextual object memory for later recall and use in the current context and task.

The invention provides a plug-in installation method and device, equipment, a medium and a program product, and relates to the technical field of computers. The method comprises the steps that M specified plug-in dynamic libraries are mapped to a virtual address space of an application program process based on a preloading mechanism, each plug-in dynamic library comprises a plug-in context, and the plug-in context comprises a dependency relationship between a plug-in associated with a plug-in context object symbol name and other plug-ins; in response to a pre-initialization request for the M plug-in dynamic libraries, pre-initializing the M plug-in dynamic libraries according to M respective plug-in context object symbol names and dependency relationships between plug-ins associated with the respective plug-in context object symbol names and other plug-ins; and in response to respective pre-initialization of the M plug-in dynamic libraries and in response to the application program to execute initialization of the plug-in system, initializing the M pre-initialized plug-in dynamic libraries according to the dependency relationship between the plug-in and other plug-ins.

The invention relates to the technical field of network equipment management, and provides an automatic network access configuration method and system for data communication equipment, and the method comprises the steps: constructing a network access context object of to-be-configured data communication equipment, and generating an initial configuration file of the to-be-configured data communication equipment; acquiring operation configuration of the to-be-configured data communication equipment in the network access process, and calculating a structured difference coefficient of the operation configuration and predefined target configuration to determine the network access security of the to-be-configured data communication equipment; when the network access security does not meet the preset network access security standard, starting a multi-level configuration rollback process and a configuration repair process of the to-be-configured data communication device to generate a target configuration file of the to-be-configured data communication device; and when the network access security accords with a preset network access security standard, generating a configuration command of the to-be-configured data communication equipment so as to execute network access configuration of the to-be-configured data communication equipment. According to the invention, the configuration efficiency and security of network access configuration can be improved.

The invention provides a full-link log tracking method and device based on a VLESS protocol, equipment and a medium, and the method comprises the steps: receiving and configuring tracking option parameters when a proxy protocol client instance is created, and building transmission layer connection to a bottom server when a client initiates an outbound connection request; meanwhile, detecting a context environment of the current request, and extracting an identifier as a link tracking identifier; when the client side carries out application layer protocol handshake, the link tracking identifier is packaged into a handshake data packet of a protocol and is sent to the server side; the server receives and analyzes the handshake data packet, and extracts a link tracking identifier from the handshake data packet; and then a context object of the current session of the server is obtained, and the extracted link tracking identifier is written into the context object to replace or set a log identifier of the current session of the server, so that unification of the client and the log identifier of the server is realized, and a request of each client can correspond to a log of the server, thereby being convenient for a user to use.

The application discloses a document checking method, system, device, medium and product based on a large language model and a rule graph, relates to the field of information processing and knowledge engineering, and comprises the following steps: a large language model is used to analyze a rule document and a business term table, an examination element table and a rule graph are generated, and a document processing pipeline and a logic verification pipeline are executed in sequence; when the document processing pipeline is executed, image recognition and layout analysis are performed on the materials to be examined and user metadata, a visual large model is called in combination with the examination element table to perform structured extraction, and context objects are generated; when the logic verification pipeline is executed, based on the context objects, preconditions are selected, evidence requirements are evaluated, and decision determination is performed in sequence, an examination report is generated based on a final determination state, and routing strategies of automatic passing, manual review or returning are triggered. The application can realize rule analysis automation, examination process standardization, interpretable determination results and full-link traceability.

The invention provides a database access method and system supporting unified authentication and business model mapping, and the method comprises the steps: uniformly converting a query request into a standard abstract syntax tree, and intercepting an identity certificate in the query request to construct a complete authority context object; mapping the permission context object into a temporary role name with the minimum required permission, and sending the temporary role name to a key management system to generate a temporary database connection voucher; the permission context object is received, and a specific RLS predicate character string and a CLS function expression are generated based on a preset RBAC strategy rule, an RLS constraint predicate template and a CLS constraint desensitization function template; based on the business model, mapping the standard abstract syntax tree to generate an initial logic query plan; and according to the RLS predicate character string and the CLS function expression, forcibly solidifying the security policy into the initial logic query plan to generate a target logic query plan. The technical problem that authentication and authorization mechanisms are separated in the prior art is solved.

A method for displaying a message box, a terminal device and a non-transitory computer-readable storage medium are disclosed. The method may be performed by an Android system operated terminal device, the Android system may include an application layer, an application framework layer, and NMS; and the method may include, acquiring, a context object corresponding to an application, and creating a message box object, in response to a start of the application when the terminal device is connected with a screen external to the terminal device; adding the message box object into the NMS, through a preset enqueue interface, reading the screen identity in the message box object through a set screen interface; and displaying the message box object on the external screen corresponding to the screen identity through the NMS.

The application discloses a kind of mobile security protection method and system based on AI dialogue and context perception, comprising: receiving the natural language request of user, the structured context object of the context information of device is generated by rule engine;Based on natural language request and context object, parse out user intent and at least one entity to be detected, to generate structured security instruction;Call corresponding threat analysis engine to carry out depth analysis and generate threat analysis result;According to threat analysis result, generate composite response containing natural language explanation and one-key execution operation option, call system interface to execute the protection action corresponding to threat analysis result;Collect the feedback data of user to composite response and continuously optimize parsing and threat analysis capability.The application analyzes device state, network environment and user behavior in real time, and the system can dynamically assess security risks, not only respond to user active query, but also actively push protection suggestions when detecting high-risk environment.

The invention provides a dynamic access control method and system oriented to communication information security, and relates to the technical field of communication information security, a strategy execution gateway is deployed in a communication network access layer to capture an original access request message, and the original access request message is converged into an initial request context object after being analyzed. And querying the security policy center database according to the application layer service uniform resource name and the transport layer protocol port number, and matching the basic security policy configuration unit. And inputting the access risk and an initial request context object into a dynamic permission arbitration logic model, performing certificate chain validity verification and function conflict analysis, and generating an access risk comprehensive measurement vector. And obtaining a real-time authorization permission set through the real-time permission synthesizer, and returning the real-time authorization permission set to the strategy execution gateway to generate a response message. The method can dynamically adapt to a communication environment, and the security and flexibility of access control are improved.

The invention discloses an information processing method and device, equipment, a storage medium and a program product, and belongs to the technical field of data processing. The method comprises the steps of obtaining query text information corresponding to a query request in response to the query request; converting the query text information into a query semantic vector; determining a target table vector matched with the query semantic vector from a preset table vector set; according to the target table vector and a preset association relationship between a table vector and table information, target table information is obtained from a database, and the target table information comprises an association table identifier of the target table; obtaining association table information from a database according to the association table identifier; creating a query context object based on the target table information and the association table information so as to generate a target query statement according to the query context object; and executing a query operation in a database according to the target query statement to obtain a query result corresponding to the query request. According to the embodiment of the invention, the database query efficiency and accuracy can be improved.

A software-defined vehicle (SDV) includes distributed software service bundles that may interact with each other. A service manager may initialize an instance of a service bundle. A service executor may create a public-private key pair for the instance of the service bundle, in which the private key may not be exposed outside of the service executor process. The service executor may create a context object based on a unique service identity for the instance of the service bundle, which may be verifiable by a communications layer. Prior to loading and executing the instance of the service bundle, the service executor may verify the instance of the service bundle by determining whether the private key corresponds to the public key included in the unique service identity. At runtime, the context object may be used by the communications layer to secure all communications with the instance of the service bundle.

The invention discloses an automatic operation and maintenance method and device, equipment, a storage medium and a program product, and relates to the technical field of data processing.The automatic operation and maintenance method comprises the steps that when an operation and maintenance trigger event is detected, data is obtained from multiple data sources, and multi-dimensional data is obtained; generating a strategy decision context object according to the multi-dimensional data; determining a resource condition rule matched with the current resource state according to the current resource state and a current resource condition rule set in a rule base; determining a test condition rule matched with the first test information of the current code according to the first test information of the current code and a current test condition rule set in a rule base; determining a target operation and maintenance strategy according to a resource condition rule matched with the current resource state and a test condition rule matched with the first test information of the current code; and executing the target operation and maintenance strategy. According to the method, the accuracy of the target operation and maintenance strategy is improved, and then the software delivery efficiency and the stability of a service system are improved.

The invention discloses an application dynamic configuration optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: in the running process of a target application program based on a Spring Boot framework, monitoring resource use data, and capturing running abnormity; when the resource use exceeds the limit or is abnormal, collecting related target log data in a preset time window, and generating structured first input data; when a user initiates a configuration optimization query, acquiring context data during current operation from a context object of a target application program, and generating structured second input data; a query instruction, first input data and second input data are input into an artificial intelligence analysis model, joint analysis is carried out in combination with historical configuration cases and log data, the problem can be accurately positioned in combination with runtime context and log data, the troubleshooting efficiency is improved, and dependence on artificial experience is reduced; the configuration parameters of the target Bean are dynamically updated through the configuration refresher, so that the configuration change takes effect under the condition that the target application program is not restarted.

This invention discloses a method and system for generating dynamic, emotionalized doctor-patient communication dialogues based on a large language model, belonging to the fields of artificial intelligence and medical education technology. The method includes: defining typical doctor-patient communication scenarios and basic emotion tags; establishing quantifiable intensity models for emotions; automatically mapping from keywords to emotion tags based on dialogue content; defining emotion conversion rules; real-time parsing of doctor-patient dialogue content; identifying the emotion types and specific doctor-patient communication scenarios involved in the current dialogue; outputting structured context objects; based on the context analysis results, applying preset emotion conversion rules, dynamically deciding the emotional state that the system should present, and outputting quantified objects of each emotion; encoding the state and the output quantified emotion objects into prompt words for the large language model, guiding the model to generate emotionally charged responses. This invention can provide doctors with a high-fidelity, repeatable, and low-cost communication training environment.

Embodiments of the present application disclose an agent-based collaborative security protection method and device and related equipment. The method obtains input data entering an agent context, performs intent semantic analysis and stain marking on the input data, performs risk detection on seven security protection levels of a skill, tool calling, database operation, operating system instruction, network communication of the agent, aggregates abnormal signals detected at each level and generates a standardized risk context object, broadcasts the risk context to all protection levels through a cross-layer risk propagation bus, and triggers adaptive adjustment of security policy thresholds at each level. The present application realizes end-to-end identification and collaborative response to cross-level attack chains, and realizes dynamic balance between security and business continuity.

The invention discloses a DolphinScheduler task instance monitoring and dependency relationship modeling method and system, and the method comprises the following steps: monitoring an instance change event flow of a DolphinScheduler, and obtaining a change event carrying a task identifier; associating task definition data in a memory cache based on the task identifier to obtain a context object containing a task type and a parameter; performing dependency analysis on the SQL type task, and obtaining an input table list depended by the SQL task and a generated output table list based on the task parameters in the context object; according to the context object, the input table list and the output table list, constructing a task definition node, a task instance node, a table node and a logic relation edge among the three; and writing the nodes and the edges into a graph database to form a dependency relationship model. The method can automatically derive upstream and downstream dependency chains between tasks based on the table-level data production consumption relationship, and breaks through the limitation that traditional dependency can only be based on projects.

Systems for and methods of context-preserving agent routing with thread-level context serialization. The system includes at least a processor and a memory. The systems and methods configure the processor to receive a request associated with a conversation thread, access a thread-level context object as a function of the conversation thread, determine a routing condition for the request as a function of the thread-level context object, select, from a plurality of software agents, a first agent having a capability profile that satisfies the routing condition, provide the first agent with at least a portion of the thread-level context object, receive, from the first agent, a first result of the at least a first operation, and update the thread-level context object as a function of the first result of the at least a first operation.

The invention provides a dynamic data access method based on MCP drive. In the method, a first CMU receives a context data access request sent by a target MC when obtaining a target processing request, and responds to the context data access request to obtain static context data and dynamic context data corresponding to the target processing request, and then the static context data and the dynamic context data corresponding to the target processing request are sent to the target MC, so that only the static and dynamic context data required by the target processing request are acquired in a data access stage, repeated coding analysis on a full-amount context object is avoided, and the calculation efficiency of a data access process is improved.

The present application relates to the technical field of software development, and discloses a non-invasive interface expansion method and apparatus, an electronic device, and a storage medium, applied to a non-invasive interface expansion system. The method comprises: acquiring an occasion function from a Spring application program corresponding to a target virtual machine; acquiring a callback function when the occasion function is called, and parsing the callback function to obtain parameter information of the callback function; on the basis of the parameter information of the callback function, determining a context object of the Spring application program, and on the basis of the context object, acquiring a Bean object of the Spring application program; and acquiring a target function by means of the Bean object, and defining a target interface for the target function. The present application solves the technical problem in the related art of a security risk of a virtual machine caused by the need to modify code when expanding an internal function of the virtual machine outward.

The invention relates to an application starting control method, an application starting display method, an application starting display device, computer equipment, a computer readable storage medium and a computer program product, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic and auxiliary driving. The application starting control method comprises the following steps: in response to an application starting event triggered for a target application, creating an original context object of the target application, and determining a system permission expected to be obtained by the target application in a starting process; if the system permission is in an unauthorized state, calling variable information of the original context object, and constructing a proxy context object corresponding to the original context object; loading an authorization request page for the system permission based on the proxy context object; and in response to an authorization operation triggered on the authorization request page, executing a starting task of the target application based on the original context object. By adopting the method, the safety can be improved.

The present disclosure provides a transaction processing method, comprising: obtaining a transaction request instruction; in response to the transaction request instruction, calling a transaction template tool; wherein the transaction template tool is referenced in a project object model file in a target project, and the transaction template tool comprises an annotation object, a context object and a transaction template encapsulation object for executing a transaction; and executing the transaction based on the transaction template tool. The present disclosure also provides a transaction processing device, a computer system and a computer readable storage medium.

The invention provides a workflow processing method, system and device based on a topological relation and a storage medium. The method comprises the steps that a workflow context object is initialized according to a service request; based on directed acyclic graph (DAG) configuration, processing tasks corresponding to the function nodes are executed in parallel, independent service logic or AI tool calling is packaged by the function nodes, and execution results of the tasks are written into a workflow context object through a predefined state key updating strategy; in the parallel execution process, Top-K tools matched with the current processing requirement are dynamically screened and called through an intelligent tool scheduling module; and after all parallel tasks are executed, performing aggregation and post-processing on intermediate results in the workflow context objects, and generating and returning a final response. Through parallel execution, unified state management and dynamic tool scheduling, the throughput, the response speed and the flexibility of the system are remarkably improved.

The application provides a dynamic data access method based on MCP driving. In the method, a first CMU receives a context data access request sent by a target MC when the target MC acquires a target processing request, and in response to the context data access request, acquires static context data and dynamic context data corresponding to the target processing request, and then sends the static context data and the dynamic context data corresponding to the target processing request to the target MC, so that only the static and dynamic context data required by the target processing request is acquired in the data access stage, and then repeated encoding and analysis of full context objects are avoided, and the calculation efficiency of the data access process is improved.