11results about How to "Efficient service" patented technology

The invention relates to an intelligent customer service method, and aims to provide personalized and accurate customer service reply through advanced technical means. The method comprises the following steps: firstly, acquiring and analyzing a query request of a user regardless of the form of text, voice or image; thirdly, intention recognition is conducted through a preset response model, a user portrait is generated in combination with historical interaction data of the user, and customer service requirements are predicted according to the user portrait. And by correcting the prediction intention data and considering the user preference, an accurate customer service reply is generated. In addition, the system also collects subsequent behavior data of the user, constructs a service scoring data set, and continuously optimizes the service model by using a machine self-learning algorithm. According to the method, the user satisfaction can be effectively improved, the click rate and the conversion rate are increased, the response time is shortened, the problem solving rate is improved, and continuous service optimization and performance improvement are realized.

The invention relates to a method and a device for generating a verbal skill process by using a GPT instruction. The method comprises the following steps: 1) corpus construction: firstly, constructing a corpus of a specific scene; 2) data pre-processing: pre-processing the data before the data is sent into the model; 3) model training: training a GPT model by using the processed data; 4) instruction generation: after the model is trained, generating a verbal skill process of a specific scene by using a GPT instruction; (5) after the dialogue is generated, customized modification and adjustment are conducted on the dialogue according to actual needs; 6) after the customized generation of the verbal skill, exporting the verbal skill as a text file or storing the verbal skill in a local database; compared with the prior art, the method has the advantages that different verbal skills can be generated according to different scenes and different customer requirements, the method has high individuation ability, meanwhile, the working efficiency is remarkably improved, and the AI solving ability of intelligent product application is improved.

The invention belongs to the technical field of petroleum coke blending process optimization, and particularly relates to a petroleum coke blending process optimization system, which comprises a multi-dimensional raw material database construction module used for collecting, integrating and standardizing multi-dimensional data including physical and chemical properties, production places, production processes, historical use effects, environmental adaptability and the like of petroleum coke raw materials, a comprehensive raw material database is formed; a deep learning-driven intelligent blending decision-making module which uses a deep learning algorithm to train a blending prediction model, combines a multi-objective optimization algorithm, comprehensively considers product quality, cost benefits, environmental protection requirements and market trends, and generates an optimal blending scheme; advanced technologies such as deep learning, a multi-objective optimization algorithm and automation equipment integration are introduced, so that the whole optimization system can automatically complete the steps of raw material proportioning, conveying, blending and the like in the petroleum coke blending process, and the intelligent level and the production efficiency of the blending process are remarkably improved.

This invention discloses a precise legal consultation method and system based on multi-agent orchestration. The method includes: employing a hybrid intent classification mechanism with three levels of linkage—LLM remote reasoning, local heuristic correction, and keyword fallback—to route user requests to different paths, driving differentiated processing flows; performing dual-path retrieval of vector retrieval and knowledge graph relationship expansion in deep analysis to generate a structured analysis report; introducing a multi-dimensional context compression algorithm to reduce token overhead and illusion risk; embedding a three-stage emotional reassurance mechanism throughout the entire response process; and using a rendering type protocol to achieve front-end / back-end decoupling and unified rendering across multiple platforms, decomposing the processing into continuous dynamic feedback through a staged streaming response mechanism. This invention achieves intelligent, precise, and emotionally engaging legal consultation processes through multi-agent orchestration, significantly reducing model reasoning costs and improving the handling capacity for complex cases and user interaction experience.

This utility model relates to an ultrasonic smart gas meter vibration detection circuit. Its features include a vibration detection circuit employing an electromagnetically inductive omnidirectional vibration sensor to convert vibration amplitude into an electrical signal; an operational amplifier processing circuit including a filter circuit, a decoupling circuit, and an operational amplifier to amplify and filter the weak signal output by the omnidirectional vibration sensor; an output signal control circuit that raises the bias voltage of the operational amplifier through a resistor voltage divider to ensure that the weak signal can activate the transistor in the output signal determination circuit; and an output signal determination circuit that converts the analog signal into a digital level signal using the switching characteristics of the transistor to determine whether vibration has occurred. This utility model, using an electromagnetically inductive vibration sensor and signal processing circuit, combined with filtering, decoupling, and operational amplifiers, can accurately capture weak vibration signals from the gas meter and its surrounding environment, ensuring the detection of minute vibration changes, exhibiting high sensitivity, and enabling timely response to vibration signals.

According to the cloud architecture platform system, an advanced micro-service architecture, a resource scheduling algorithm, a data storage and processing framework, security protection measures, a service deployment and management process, a network communication technology, a monitoring and operation and maintenance system and user interaction design are integrated; efficient management, data security, flexible service deployment and intelligent operation and maintenance of cloud resources are realized, and high-performance, high-availability and high-security cloud service experience is provided for users.

The present disclosure discloses a method for providing a service by using UWB communication. A method for a UWB device may comprise the steps of: receiving a first UWB message to initiate a ranging process from an initiator anchor; receiving a plurality of second UWB messages transmitted in response to the first UWB message from the plurality of responder anchors; receiving, from the initiator anchor, a third UWB message transmitted in response to the second UWB message; and based on the first UWB message, the second UWB message and the third UWB message, performing DL-TDoA-based positioning.

The disclosure relates to a method performed by a terminal in a wireless communication system, the method comprising: acquiring UE Route Selection Policy (URSP); identifying application information generating a data flow based on the URSP information; mapping the data flow to a predetermined Quality of Service (QoS) flow of a Protocol Data Unit (PDU) session based on the identified application information; inserting the identified application information into a GPRS Tunneling Protocol - User Plane (GTP-U) extension header of the data flow; and transmitting the data flow.

The invention discloses an intelligent fuel gas quality inspection method and device based on vector matching and a dynamic rule engine. The method comprises the steps that data preprocessing is conducted through audio and text cleaning; setting a vectorization and semantic understanding layer for converting the preprocessed text into a high latitude vector; setting a configurable quality inspection rule engine which is used for realizing four layers of configurable quality inspection rule engines of quality inspection operators, quality inspection conditions, quality inspection rules and quality inspection tasks; and a decision and feedback layer is arranged and used for correcting error data in a manual rechecking mode. Vector matching is carried out based on an M3E-Base text embedding model, and quality inspection operators, conditions, tasks and rules which can be dynamically configured are combined. By fusing an advanced semantic understanding technology and a configurable quality inspection rule engine, gas customer service quality management is promoted to evolve towards automation, intellectualization and precision, and powerful technical support is provided for safe operation and excellent service of gas enterprises.

This invention relates to the field of materials determination technology, and discloses a method for detecting the titanium content in a titanium-containing reagent and a method for detecting the titanium content in a polyolefin catalyst. The method includes the following steps: (1) under an inert gas protective environment, the titanium-containing reagent is acid-hydrolyzed and reduced to obtain a trivalent titanium ion sample solution; (2) under an inert gas protective environment, ferric ammonium sulfate solution is added dropwise to the sample solution, and the potential is tested using a redox electrode during the addition process. The titration endpoint is determined based on the redox electrode potential threshold, and the titanium content is calculated based on the amount of ferric ammonium sulfate solution added at the titration endpoint. This detection method is green and environmentally friendly, and improves the accuracy of the detection results while reducing the detection cost.

The invention discloses a linen order receiving system for employees outside hotel guest rooms. The system comprises an intelligent demand perception and analysis module, a dynamic resource scheduling and collaboration module, a full-process visual execution and guidance module, a multi-dimensional quality closed-loop evaluation module and an automatic billing settlement and accounting module. The system automatically senses a linen replacement demand through a fixed robot terminal deployed in a guest room, analyzes a multi-source service request in combination with a natural language processing technology, and generates a structured task work order; an intelligent scheduling algorithm based on multi-objective optimization is utilized, the real-time state of the external employee and inventory data are integrated, and efficient assignment of tasks is achieved; dynamic navigation and standardized operation guidance are provided for external employees, and task progress is tracked in real time; and finally, automatically completing fee accounting, electronic payment and multi-party account division according to a preset rule. According to the invention, automation and intelligentization of the whole linen management process are realized, and hotel operation efficiency, service quality and cost control water are significantly improved.