14 results about "Service automation" patented technology

The invention relates to the technical field of operation and maintenance safety compliance, and discloses an operation and maintenance service automation safety compliance detection system and method. The system comprises an operation and maintenance event acquisition unit, a strategy execution unit, a compliance analysis unit, a strategy optimization unit and a violation tracing unit. The operation and maintenance event acquisition unit captures operation and maintenance operation events and execution environment parameters in real time, packages the operation and maintenance operation events and the execution environment parameters into event data packets and transmits the event data packets to the strategy execution unit; the strategy execution unit extracts a reference strategy rule from the security strategy library, performs matching verification on the event and generates a result; the compliance analysis unit analyzes compliance fluctuation characteristics through a multi-dimensional compliance deviation model in combination with historical records; the strategy optimization unit dynamically adjusts the event capture frequency and corrects a strategy matching rule according to the fluctuation characteristics; the violation tracing unit counts the risk cumulant and generates a violation tracing instruction when the risk cumulant exceeds a preset capacity. According to the system, automation and dynamic adjustment of operation and maintenance safety compliance detection are realized, and a risk accumulation process can be effectively tracked.

The invention discloses a dialogue type AI intelligent outbound service automatic control method combined with a knowledge graph, and the method comprises the following steps: S1, constructing a multi-dimensional knowledge graph: integrating a domain ontology, a user portrait and a dialogue context, and forming a structured knowledge network; s2, dynamically generating a dialogue strategy: fusing rule reasoning and a machine learning model, dynamically selecting a dialogue strategy path based on a user response probability, and screening an optimal strategy through conflict detection; s3, real-time interaction control: realizing multi-round management through voice recognition, intention classification and dialogue state tracking, and triggering an emergency strategy in combination with sentiment analysis and silence detection; and S4, dynamically optimizing the system: updating knowledge graph entities / relationships by utilizing incremental learning, and optimizing strategy parameters and business rules in real time through reinforcement learning and association analysis. According to the method, the knowledge integration efficiency is improved, and the CRM data association response time is from gt; the result is reduced to 1t in 2 seconds; 200 milliseconds; the high-net-value customer conversion rate is improved by 42%, and the manual intervention demand is reduced by 70%.

The invention relates to the field of information automation, in particular to an automatic government affair service approval system and method based on multi-modal fusion and reinforcement learning. Multi-modal data such as government affair application texts, images and voices are collected, and after feature extraction and fusion, automatic approval is completed by means of a dynamic self-adaptive approval rule engine and a cross-department collaborative process optimization mechanism in combination with an intelligent decision-making and risk assessment system. An approval strategy is optimized through reinforcement learning, credible sharing of data is guaranteed through a block chain, and system self-optimization is achieved through online learning. Compared with a traditional examination and approval mode, the technology can improve examination and approval efficiency by 83%, improve accuracy by 17%, effectively solve the problems of difficult information processing, examination and approval rigidness and the like, and improve government affair service quality and efficiency.

The application provides an application service automatic deployment method and device, electronic equipment and storage medium, and relates to the technical field of computers.The method comprises the following steps: when a service subscription request of a target customer is acquired, the target customer identifier and the target application service identifier of the target application service to be deployed are acquired; according to the target customer identifier, the target domain name and the target IP address of the target customer are acquired, and the configuration of the domain name and network security is carried out based on the target domain name and the target IP address; according to the target application service identifier, the target configuration file is pulled through Kubernetes, and the deployment of the target application service is completed. The target configuration file is pre-deployed in Kubernetes, and after the customer subscribes to the corresponding service, the deployment of the target application service can be automatically completed through identifier resolution, the automatic deployment effect of subscription as a service is realized, and the deployment and operation and maintenance cost of the application service are simplified.

The application relates to the technical field of smart endowment, in particular to a smart endowment service automatic supervision system, which comprises classifying the activity items of the old people into timed activities and free activities, determining the mood states and activity characteristic states of the old people in different time periods based on heart rates, establishing the relevance of the mood and the activities and marking the relevant tags, and a service recommendation module combining the real-time mood, the relevant tags and the activity tags to push the optimal services; the application can push the adaptive services by combining the activity characteristics when the old people have negative emotions, timely relieve the emotions, break the vicious circle of "emotional problems leading to physical deterioration", reduce the health risks, optimize the resource allocation according to the correlation between the mood and the service effect, avoid the waste of inefficient services, provide more targeted personalized services, and comprehensively improve the endowment service quality and the life happiness of the old people.

This application belongs to the research and development field and is applied to the field of service SDK collaborative development. It relates to a standardized service SDK automated generation method and related equipment, including obtaining annotation information from API source code; filtering out method annotation descriptions from the source code; generating uniquely tagged data from the method annotation descriptions; storing the description objects in a preset database; packaging the description objects and displaying them on a preset development collaboration interface; generating corresponding code programs based on the target description objects; and uploading the code programs to a preset location for secondary developers to download and use. This application uses an intermediate object, namely the description object, to achieve development coordination and management among multiple developers, avoiding multiple uploads and downloads of the program source code. This ensures that the API documentation on the development collaboration interface is always in its first version, providing a unified standard service SDK automated generation method for different platforms, and guaranteeing the uniformity and maintainability of API documentation versions.

The invention belongs to the technical field of artificial intelligence, is applied to the field of financial science and technology, and discloses an insurance policy product recommendation method, device and equipment and a storage medium. The original data comprises target vehicle operation data, battery operation data, target vehicle historical business data and target vehicle real-time monitoring data; performing feature extraction and screening on the original data to generate a core feature set for estimating the health degree of the battery; training a stack regression model based on the core feature set, and estimating a battery health degree value of the target vehicle by using the trained stack regression model; obtaining target customer data and risk control data; and configuring a scheme recommendation logic of a rule engine according to the battery health degree value, the target customer data and the risk control data, and outputting an insurance policy product recommendation scheme. The problems of mismatching of insurance policy products and actual risks, insufficient personalized recommendation and low automation level of dynamic risk management and claim settlement service in the prior art are solved.

The invention discloses a service automation fault processing method based on cloud native, and relates to the technical field of cloud computing and operation and maintenance automation. The method comprises the following steps: sensing a service fault event in real time based on observability data; automatically calling a service grid interface to isolate fault instance traffic, synchronously calling a container arrangement platform interface to terminate fault instances and scheduling healthy instance replacement; and performing root cause analysis by using an intelligent algorithm based on the multi-dimensional data, and executing an automatic repair or optimization strategy according to a result. According to the method, full-process automation from fault sensing to recovery is realized, fault diffusion is effectively avoided, and high availability of services is guaranteed; through root cause positioning, the limitation of artificial experience is overcome, and the processing accuracy is improved; finally, the operation and maintenance cost is reduced, and the problems of low efficiency, slow response and difficult positioning of a traditional fault processing mode in a cloud native environment are solved.

The invention discloses an intelligent customer service interaction method and system based on an AI large model, and relates to the technical field of artificial intelligence. Constructing and updating a dynamic customer portrait; modeling an intention evolution trajectory; performing emotion-strategy collaborative generation; and automatically executing a service process and feeding back a closed loop. The system comprises a voice acquisition module, an image acquisition module, an operation behavior log module, an image neural network engine, a gating circulation unit network, a cross-modal attention fusion unit and a tool function interface. The invention aims to solve the technical problems of context modeling superficial layer, intention recognition staticization, emotional response disjoint, insufficient multi-modal fusion, service flow breakpoint and the like in the prior art, and can realize deep context understanding, accurate intention tracking, multi-modal emotional collaborative response, high-reliability service automatic execution and strong hallucination suppression. And the completion rate of multiple rounds of tasks, the user satisfaction and the system compliance are obviously improved.

This application discloses a microservice-based automated logistics order scheduling method to address the problems of ineffective system resource occupation and low order throughput caused by synchronous blocking processing. The method includes: receiving logistics order requests, validating the logistics order requests, and storing the valid logistics orders as pending orders in a database; responding to a scheduling task, scanning the database to retrieve pending orders that meet the preset order status conditions; sending the pending orders to a first message queue; retrieving the pending orders from the first message queue, calling the corresponding logistics provider system interface based on the information of the pending orders to process the orders, and obtaining the processing results; updating the status information of the corresponding pending orders in the database; generating an order status update message, and sending the order status update message to a second message queue for downstream services to perform subsequent processing based on the order status update message.

The invention discloses a business automation method based on rule engine configuration, and the method comprises the steps: carrying out the mathematical operation (gt, n, =) of all cases according to a recognition rule of a predefined rule engine, and obtaining a matching result; and according to a matching result, repeated and transactional works such as total-to-total query, control and deduction are sequentially initiated for the case. The method can automatically initiate case handling work such as total-to-total query, total-to-total freezing, continuous freezing and unfreezing and is applied to a court to execute daily case handling, the court defines configuration through the rule engine and automatically initiates operations such as query and control on cases meeting conditions regularly, a judge does not need to manually operate a page, both hands of the judge are liberated, and the working efficiency is improved. Therefore, judicial work efficiency is improved.

The application provides a financial institution operation and maintenance service automation management method, which comprises the following steps: based on a relational database, establishing operation and maintenance service management business process form data; configuring a form table engine and a form table component, realizing parameter data caching and query management through a cache database and a relational database; based on a form table listener, realizing form table action monitoring; classifying operation and maintenance objects based on operation and maintenance object attributes, and binding the classified operation and maintenance objects with operation and maintenance operations; when an operation and maintenance process is driven to a process node, a process listener automatically transmits business process forms and data in the form table to a preset operation and maintenance tool script, and drives the corresponding preset operation and maintenance tool script to operate on an operation and maintenance object corresponding to an operation and maintenance operation, so as to automatically execute the operation and maintenance operation. The application further provides a financial institution operation and maintenance service automation management system, and the efficiency of financial institution operation and maintenance service management is improved.

The invention discloses an intention driving system and method based on a distributed network. Specifically, a system composed of an intention agent, a service agent, a distributed peer-to-peer network and a distributed trust layer is constructed. And the user expresses a service intention in a natural language form through an intention agent. The intent agent structurizes and broadcasts the intent to the network. And the service agent in the network responds to the intention according to the service capability of the service agent, and generates a service proposal. And the intention agent intelligently evaluates, screens and combines the received proposals based on reputation data provided by the distributed trust layer, and finally forms one or more complete end-to-end solutions for the user to select. Once the user confirms, the system automatically executes and locks all related services through the smart contract. Therefore, intelligent services with extremely simplified interaction, service automation, high intelligence and high adaptability can be achieved.