31 results about "Integration service" patented technology

The invention discloses a task execution method based on a model context protocol, and the method is characterized in that the method comprises the following steps: constructing a task planning and decomposing agent which is used for decomposing a complex task of a user into a subtask tree with a lower difficulty level; constructing a service registration agent, and for the sub-tasks decomposed by the task decomposition agent, generating a corresponding MCP service by using predefined external interface identity information and registering the MCP service to an execution environment; and constructing a task execution agent, calling services from the MCP client according to the decomposed sub-tasks and the registered MCP services, and obtaining output. And meanwhile, integrating service output to generate a final result. Through multi-agent cooperation, task decomposition, MCP service generation and registration, tool calling and result integration are autonomously completed, and manual intervention is not needed.

Disclosed herein is an integration service engine implemented as a computer program within a computing environment. The integration service engine operates to receive a request to perform a task and performing a semantic analysis on the request, utilizing artificial intelligence. The integration service engine also operates to retrieve relevant connectors based on the semantic analysis, determine objects and required fields needed for the request, and generate a code of a robotic process automation to implement the request based on the relevant connectors, the objects, and the required fields.

The invention discloses an Internet information system integrated service system based on digital twinning, and the system comprises a data collection and processing module which is used for obtaining and preprocessing heterogeneous data of an Internet information system; the twin node construction module is used for constructing twin nodes and establishing a mapping relation; the semantic propagation module is used for coding the state change of the physical system, carrying out semantic disturbance propagation and carrying out convergence in the propagation process; the cooperative behavior generation module is used for analyzing the triggering behaviors and carding the constraint relation of the triggering behaviors; the instruction scheduling module is used for generating an executable instruction of the physical system and issuing the executable instruction to the corresponding physical system; the twinning updating module is used for performing weighted updating on the twinning nodes and reconstructing a semantic association structure in a twinning space; and the collaborative result output module is used for generating a cross-system collaborative execution result and outputting the result. According to the invention, automatic cooperative processing among multiple systems of the Internet can be realized, and the efficiency of cooperative behavior generation among the systems is improved.

The invention discloses a service integration intelligent decision-making method and system based on a credit-driven reinforcement learning closed loop, and the method comprises the following steps: S1, receiving the unstructured service demand input of a user, and generating a structured service task description containing at least one service module and a cooperative constraint condition thereof through mixed analysis processing; s2, initiating multiple rounds of dynamic bidding to a plurality of service providers to obtain dynamic service condition information, fusing the dynamic service condition information, user preference information and collaborative constraint conditions, performing calculation through a multi-target service optimization model of which the optimization weight can be dynamically adjusted, and generating and recommending at least one integrated service scheme to the user; and S3, responding to confirmation of the user to the integrated service scheme, starting and monitoring service execution, and automatically completing expense settlement according to a preset rule after the service execution is completed. Based on a pluggable field knowledge base and the same set of technical architecture taking a credit-driven reinforcement learning closed loop as a core, the system can be quickly adapted to various high-complexity and strong-collaboration service integration fields such as tourism, exhibition, enterprise travel, wedding celebration and medical rehabilitation travel planning by configuring different service modules and collaboration constraint conditions, and has the advantages of being high in practicability and high in practicability. And a set of unified technical architecture and solution which have high adaptability and can be reused is provided.

This application discloses a system and method for automatically analyzing smart contract vulnerabilities using AI, belonging to the field of blockchain technology. The key technical solutions include a data acquisition and preprocessing module, an AI vulnerability analysis module, a model continuous learning module, an integration service module, and a database module. This application provides comprehensive and in-depth security assessments. Through machine learning and deep learning technologies, this system can identify and predict unknown vulnerabilities, thereby greatly improving audit efficiency and accuracy.

The application discloses a kind of highway service area energy consumption prediction systems, including multi-source heterogeneous data acquisition module, space-time feature extraction module, dynamic fusion module, energy consumption prediction module, prediction effect verification module and model self-optimization module.System is integrated by service area dynamic external and internal operation data, extracts multidimensional space-time characteristics, and is weighted and fused based on the fusion weight of dynamic allocation, generates space-time fusion feature set.The feature set is input to machine learning prediction model, and the total energy consumption of service area and the refined energy consumption prediction curve of each target partition in future preset period can be output simultaneously.System compares predicted and actual energy consumption data, automatically generates deviation analysis results, and accordingly realizes the self-optimization of model parameters and feature weights, thereby improving the prediction accuracy and the adaptive ability of the system, and providing effective support for realizing energy-saving operation and intelligent management of service area.

An event notification may be received, by a game feature integration service, from a first video game feature component. The game feature integration service may integrate a plurality of video game feature components that each have a respective set of one or more events for which event notifications are sent by a corresponding video game feature component to the game feature integration service and a respective set of one or more actions that are called on the corresponding video game feature component by the game feature integration service. A pre-configured or custom rule flow may trigger the game feature integration service to call an action on the second video game feature component based on the event notification. The game feature integration service, based at least in part on the rule flow, may call the action on the second video game feature component in response to the event notification.

The invention discloses an efficient data processing method for information system integration service, belongs to the technical field of information system integration service data processing, and aims to solve the problems of data islands and data quality in information system integration and support enterprise-level data analysis. The method comprises the following steps: collecting information data of a plurality of heterogeneous data sources; analyzing, extracting and cleaning text information and numerical information of each piece of information data; converting the cleaned text information and numerical information into corresponding vectors and fusing the vectors to obtain vector data; and classifying each piece of information data into a preset business subject domain according to the semantic features of the vector data, associating metadata for storage, analyzing the association relationship of the vector data in different business subject domains, and constructing a visual logic diagram of the business subject domain. According to the method, the uniform format of the data is realized, the data islands are broken, the data quality is guaranteed, and support is provided for enterprise-level data analysis.

The invention discloses a GPU cluster scheduling method, device and equipment based on four-layer network topology, and the method comprises the steps: building a resource portrait based on historical data, integrating a server to a four-layer topology state of a super convergence layer, and forming system state information; an attack level is calculated for the task, and a double-weight preemption relation with the unique condition that the attack level is larger than the defense level is established; according to the system state, candidate schemes are generated from inside to outside; verifying calculation and network resource capacity constraints layer by layer; for the feasible schemes meeting the constraint conditions, calculating a total score obtained by summarizing the completion score, the scale score and the topological affinity, deducting the preemption cost to obtain net gain, and selecting the scheme with the maximum and positive net gain for execution; after the task is preempted, the defense level is automatically improved by one level, and the preemptive times of the task are strictly limited. According to the method, the utilization rate of the GPU and the HBM is remarkably improved, the cross-layer network communication overhead is effectively reduced, and the stability and fairness of the scheduling process are guaranteed.

The application discloses an internet information system integrated service system and belongs to the technical field of internet services; the system is used for solving the technical problems of low prediction accuracy and incapability of supporting dynamic scheduling caused by single model and insufficient data preprocessing in the prior art; through full-link collaborative design of multi-source data acquisition, singular spectrum analysis multi-scale decomposition, gradient boosting decision tree main model and bidirectional LSTM residual correction model cooperation and multi-step prediction, the defects of single feature dimension, insufficient data non-stationary processing, single model limitation and single prediction dimension in the prior art are solved, and the collaborative effect of all links makes the model prediction accuracy, real-time performance and decision scientificity significantly better than those of the traditional scheme, thereby providing reliable technical support for performance optimization of the internet information system integrated service.

The utility model discloses an adjustable display for information system integrated service belongs to information system technical field, and it is provided with the adjusting assembly that makes the mobile wheel lift on the number taking machine, and the long groove is set up on the side upper portion of the bottom frame, and the connecting plate is slidably installed in the long groove through the extension assembly, and the short groove that is inserted with the connecting plate is set up on the other side upper portion of the number taking machine, and the connecting assembly is equipped between the connecting plate and the short groove. Thus, when moving to the specified position for use, the electric cylinder drives the adjusting plate to rise, makes the adjusting plate drive the mobile wheel to rise to the bottom frame, makes the bottom frame contact with the ground, improves the stability of the whole, and the mobile wheel does not need to contact with the ground, does not need to bear the gravity all the time, improves the service life of universal wheel.

The invention discloses a college student depression monitoring information system integrated service platform, and belongs to the technical field of platform service management. The technical problem that an existing platform system is poor in robustness and stability is solved. Transmission delay fluctuation is sensed in advance through chaos time sequence prediction, coupling strength is dynamically adjusted in combination with load entropy, the high clustering characteristic of small-world network topology is utilized, the data transmission hop count can be reduced, the data loss rate can be effectively reduced through distributed redundancy storage, and the stability of the system is enhanced. The real-time correction of the coupling strength can realize the online evolution of the network topology; the topological entropy of a global structure and the betweenness centrality of local key nodes are combined, so that global and local cooperative scheduling can be realized; fractal interpolation is used for predicting resource requirements, the error rate can be effectively reduced, the activation threshold value is dynamically adjusted through the Hurst index, and the accuracy of the standby resource activation time can be effectively improved.

The invention provides a low-code platform integration service generation method and device, equipment, a medium and a product, and relates to the technical field of computers. The method comprises the following steps: obtaining a user interface type keyword; obtaining a first target demand description according to the keyword and a pre-stored keyword list; a correlation matching result is obtained through the pre-training semantic analysis model and the first target demand description; obtaining a second target demand description according to the result; user key information is obtained through the pre-training information extraction model and the second target demand description; when the information comprises a preset number of pre-stored interface attribute fields, generating prompt words according to codes obtained by the information and a pre-training iterative optimization model; generating a model according to the cue word and the pre-training code to obtain a target code; and converting the target code into a specified format code, and when the specified format code satisfies a preset condition, exporting the specified format code to a low code platform to generate an integrated service. Corresponding specified format codes are described through user requirements, adaptive integration services are generated, and the learning threshold of the user is lowered.

The application discloses a cloud edge-end cooperation-based intelligent computing power integration service management method and system, relates to the computing power integration management technical field, and comprises the following steps: in a cloud controller, the computing power resource state of an edge-end cooperation port and a terminal equipment is sensed in real time, and a resource topological atlas is built; a dynamic task demand is introduced, and a computing power scheduling vector is generated; a cloud training model is subjected to light-weight segmentation, and a region elastic cluster composed of adjacent edge nodes under hierarchical limitation is determined; a digital twin simulation engine is deployed to preplay a computing power distribution scene, a heterogeneous resource pooling mechanism is established, and computing power integration service management is carried out. The application solves the technical problems of low heterogeneous computing power resource management efficiency and insufficient utilization in the prior art, achieves efficient management of intelligent computing power integration service, and improves the utilization of heterogeneous computing power resources.

The invention relates to the technical field of low-code platforms, and provides a micro-service deployment method, device and equipment and a storage medium, and the method comprises the steps: in a class loading process of an integrated service process, obtaining class definition data of a current to-be-loaded class, the integrated service process being a single operation instance containing a plurality of micro-services; identifying the class definition data to obtain a remote proxy class for realizing remote procedure call; replacing a remote call instruction pointing to a network communication layer in the remote proxy class with a local method call instruction pointing to a target service instance in the same process to obtain a modified remote proxy class; and loading the modified remote agent class into an integration service process, so that the integration service process runs based on a local method calling instruction in the modified remote agent class, and deployment of the multiple micro-services is completed. The method effectively solves the problems that an existing low-code platform is high in deployment cost in a privatized or lightweight scene, and the system fluency is restricted by a network.

The application discloses a static aggregation code scene reuse method, a plurality of sets of template application configurations can be configured through an aggregation code, scene coding is transmitted after a code scanning device integrated with an aggregation code SDK scans a code, a business system and a scene are recognized by an aggregation code cli system, and template application configurations adapted to the scene are acquired. After the corresponding template application configurations are read, aggregation code source data is acquired by analysis, and a business execution process is initiated according to the execution type configured. The requested link and parameters can be subjected to rule checking, and the matching of the voucher capability and the scene. A standardized execution process is provided by a unified integrated SDK package, a new business system only needs to be simply integrated and developed to be seamlessly connected into the whole system ecology, the expansibility of the system is enhanced, and meanwhile, the standardized interface integrated mode greatly facilitates the integration of external third-party systems.

The invention relates to the technical field of information system integration services, in particular to a nutrition scheme adaptation method and device, computer equipment and a program product. The invention provides a nutrition scheme adaptation method. The nutrition scheme adaptation method comprises the following steps: acquiring current nutrition-related data of a target individual and converting the current nutrition-related data into a current state vector; each agent generates respective action probability distribution for the current state vector according to the trained strategy parameters; transforming the action probability distribution of each agent to obtain a standardized numerical value, inputting the standardized numerical value into the trained connection function to calculate joint probability density, and determining a current coordination correction coefficient according to the joint probability density; and outputting respective nutrition regulation and control actions by each agent according to the current coordination correction coefficient, and combining to form a nutrition scheme. The method can better adapt to a nutrition scheme.

The application discloses a decoration data intelligent processing method and system based on digital construction, belongs to a data processing system or method specially used for decoration project management, supervision or prediction purposes in the internet industry, or belongs to the information system integration service technical field of emerging software and new information technology service industry integrated implementation services and information system design services, and comprises the following steps: displaying a first page, wherein the first page comprises an engineering progress identifier, decoration material items and a use state; in response to a first selection operation on a first decoration material item, displaying a second page, wherein the second page comprises a comprehensive state record of the first decoration material. The application is beneficial to improving the comprehensiveness, intelligence and accuracy of decoration service system in decoration material hierarchical construction service information processing, and improving user experience.

The invention discloses an information system integration service optimization method based on artificial intelligence, and relates to the field of integration service digital optimization transformation, and the method comprises the steps: obtaining the past operation data and historical business data of an information system integration platform, carrying out the preprocessing of the past operation data and historical business data, and obtaining a standard data set; carrying out feature extraction on the standard data set, respectively carrying out long-term and short-term time sequence capture and spatial association to obtain a long-term prediction parameter and a short-term prediction parameter, obtaining current operation data, and predicting the information system integration service based on the long-term prediction parameter and the short-term prediction parameter to obtain a predicted operation condition and a predicted service condition; and based on the predicted operation condition and the predicted business condition, performing information system integration service optimization by adopting an improved simulated annealing algorithm to obtain a target scheduling optimization strategy. The method focuses on resource scheduling and process optimization, and gives consideration to dynamic adaptation and optimization precision.

A system associated with an enterprise cloud computing environment having an integration service may include an integration flow design guidelines data store that contains a plurality of electronic records, each record comprising an integration flow design guideline identifier and human-readable integration flow design guideline requirements. An integration flow design guideline validator may receive, from an integration developer, an integration flow model for the integration service defined in a standardized graphical notation protocol. The validator may then determine which integration flow design guideline requirements are applicable to the received integration flow model. The system automatically generates compliance results based on whether the received integration flow model complies with each applicable integration flow design guideline requirement using rule concept semantics. In addition, the validator may perform a non-compliance analysis, determine a non-compliance severity indication, generate at least one compliance recommendation, and / or provide an output to the integration developer.

This invention relates to the field of information system integration services and discloses a gastrointestinal infection risk assessment and triage system, comprising: a multi-source heterogeneous data integration module for acquiring high-frequency physiological data and performing semantic normalization transformation; a state variable mapping module for generating shadow feature variables based on data mapping logic and assigning calculation weights; a dynamic logic arbitration module for monitoring the data change rate; a weight shift control module for triggering a logic interruption and generating corrected weights when the change rate exceeds a threshold; and a triage route generation module for outputting triage route instructions. This invention utilizes a weight shift mechanism to achieve nonlinear adjustment of the risk index, eliminates the static lag in the virtual data lifecycle under drastic physiological changes, and ensures that the triage decision logic is accurately aligned with real-time operating conditions.

The present disclosure comprises systems, methods, and computer readable media that allows processing of merchant credit applications. An integration service is provided herein that retrieves external information regarding the merchant credit application. The integration service provides for normalizing an external information and mapping it to the businesses and entities within its own database. Additionally, the integration service is able to compile a dataset for a decision service to efficiently analyze the merchant credit application.

The present disclosure involves systems, software, and computer implemented methods for custom processing in data privacy integration protocols. One example method includes a customer of a data privacy integration (DPI) service providing custom logic for customizing the DPI service. The DPI service generates and sends a DPI work package in response to receiving a DPI protocol request from the customer. Responder applications that receive the DPI work package evaluate the DPI work package and send work package responses. At least one responder application includes in at least one work package response at least one responder feedback flag. The DPI service evaluates the DPI work package responses including the evaluation of at least one responder feedback flag using the custom logic provided by the customer. The DPI service sends a response to the DPI protocol request that includes an overall status of DPI processing of the DPI protocol request.

The application relates to the technical field of information security, and discloses a unified data gateway service architecture and a security access control method for space weather data, which comprises the following steps: step S101, establishing a one-way connection channel; step S102, deploying a gateway; step S103, pulling a task from an isolated area; step S104, generating a temporary credential and storing the temporary credential in an in-memory key-value database cluster; step S105, generating an authorized range and a security policy; step S106, generating a security view; step S107, checking consistency; and step S108, archiving auditing. The application integrates a service entrance through a unified data gateway, establishes a controllable one-way interaction mechanism, realizes cross-domain data exchange and task cooperation between an isolated area and an internal network, matches a hash value check and a special delivery ticket, guarantees data integrity and use safety, and thus improves the security and availability of cross-domain access of space weather data.

This invention relates to the field of visual recognition technology, specifically to a visual information intelligent recognition and integration service system, comprising: a data acquisition module for synchronously and in real-time acquiring three types of data from trainees during operation; a data extraction module for receiving the data acquired by the data acquisition module, constructing the trainee's cognitive load index and behavioral deviation, and extracting the temporal coupling features of cognitive state and operational behavior based on a temporal convolutional network; a multi-level intervention module and an intervention evaluation module, which construct a complete cognitive-behavioral synchronous recording system, providing a data foundation for accurately assessing the trainee's state, and using the temporal coupling features of cognitive-behavioral behavior to predict the probability of errors within a preset time period in the future, achieving a technological leap from "post-event review" to "pre-event prediction".

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes determining to perform a test of a first multiple-application landscape and a first data privacy integration service instance that manages data privacy integration of multiple applications in the first multiple-application landscape. A test work package is created in response to determining to perform the test of the first multiple-application landscape and the first data privacy integration service instance. The test work package is provided to applications of the first multiple-application landscape and test work package responses are received from applications of the first multiple-application landscape. The test work package responses are evaluated to determine a correctness of the first multiple-application landscape and the first data privacy integration service instance.

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes receiving a request to export and then delete personal data for a data subject. A work package is sent to applications that requests a respective application to perform a blocking check and a data export for an object that represents the data subject. A data privacy integration service receives, from the applications, response information to the work package that includes blocking check information and personal data export information. The personal data export information is evaluated, and a determination is made that each application has completed a requested personal data export. In response to determining that each application of the multiple applications has completed the requested personal data export, the data privacy integration service evaluates blocking check information received from multiple applications to determine whether to send a blocking-related command to the multiple applications.

The invention provides a Qt-based Linux software development system, and relates to the field of computer software architecture design, and the Linux software development system comprises a configuration module which is used for providing multi-source configuration fusion and verification fault tolerance; the communication module provides a multi-communication-mode decoupling integration service and is used for expansion, data encapsulation and transceiving; the task management module is used for providing a unified task development standard and a module cooperation mechanism, performing cross control and arrangement combination control on tasks, and realizing task state linkage among multifunctional modules based on a Qt signal slot mechanism; the data storage module is used for uniformly standardizing and storing multiple types of data and monitoring the data; and the interface development module is used for providing a hierarchical structure and configuring interface development. According to the method, team collaboration development efficiency can be remarkably improved, code reuse and data access specifications are enhanced, team collaboration and software performance are optimized, a flexible expansion interface is provided, and development efficiency and performance are considered.

The invention belongs to the technical field of information system integration service, and particularly relates to a power plant access control permission dynamic management and control method under a cloud-side collaborative architecture, which comprises the following steps: constructing a cloud service data aggregation center, integrating personnel basic information and production service state data, and generating an initial dynamic permission baseline containing a traffic area, a time period and a risk label; secondly, building a cloud service state monitoring engine, monitoring service data change in real time, triggering a dynamic weighted evaluation algorithm, calculating a dynamic security trust value and generating a hierarchical management and control instruction; and finally, executing passage judgment through edge side access control nodes in combination with field environment parameters, constructing a personnel behavior trajectory analysis model, and reversely correcting a dynamic security trust value by using a space-time consistency deviation index. According to the invention, the real-time linkage of the access control authority and the production business state is realized through the cloud-side collaborative architecture, and the accuracy of the access control of the power plant is improved by combining the dynamic security trust value hierarchical control and closed-loop correction mechanism.

The invention relates to the technical field of Internet of Vehicles, and provides a dynamic service configuration method and system based on cloud-vehicle integration and a storage medium, and the method comprises the steps: determining a trigger entry condition, and extracting corresponding trigger metadata from a cloud database and operation monitoring according to the trigger entry condition; checking and packaging the trigger metadata, obtaining a processed configuration packet, and sending the processed configuration packet to a vehicle end through QUIC connection; downloading the configuration packet through the vehicle end, analyzing and verifying the configuration packet, and obtaining configuration information in a local recognizable format; and carrying out dynamic configuration on the vehicle end based on the configuration information. According to the invention, the dynamic configuration requirement of efficiently supporting cross-version and cross-service can be met.