28results about How to "Improve service efficiency" patented technology

The invention relates to the cross technical field of a computer information technology and a college management information system, and provides a college institution service intelligent response system fusing self-service questions and answers and task work orders. The system comprises a user interaction module, a self-service question and answer engine, a work order generation and distribution module, a background processing and feedback module and a service statistics and optimization module. According to the invention, an advanced natural language processing technology, knowledge graph construction and intelligent work order management are fused, so that a college institution service intelligent response system integrating self-service question answering and task work orders is constructed. The system not only realizes seamless access and efficient intelligent interaction of multiple channels and multiple terminals, but also ensures that various problems are timely and accurately processed through automatic classification, responsibility distribution and closed-loop management.

The application is suitable for the field of financial technology, and particularly relates to a dialogue model training method and device based on artificial intelligence, equipment and medium. The application splices the initial question text, the initial answer text and the preset category prompt word into a first sample, obtains an augmented question text, an augmented answer text and an augmented answer keyword by back translation, and splices the augmented question text, the augmented answer text and the augmented answer keyword to obtain a second sample, thereby expanding the text data amount and solving the problem that the question text and the answer text in the splicing result are prone to confusion; a first question and answer category of the initial answer keyword is obtained and spliced into a label of the first sample, a second question and answer category of the augmented answer keyword is obtained and spliced into a label of the second sample, the reply performance of the dialogue model on different category questions is improved by adding the question and answer category information in the label; and the accuracy of the dialogue model is improved through training, the dialogue accuracy of the customer service robot and the service efficiency and quality of the financial business are improved in the field of financial technology.

The application discloses a kind of based on customer portrait's electric power retail package push method and system, it is related to electric power market technical field.The method includes: constructing the customer peak clipping and valley filling portrait model based on DDPM, the historical load of customer is mined, the peak clipping and valley filling characteristics of customer are extracted, and peak clipping and valley filling time difference model and peak clipping and valley filling electric quantity difference model are constructed in combination with grid peak value characteristics, valley value characteristics, according to the height of peak clipping and valley filling time difference and the height of peak clipping and valley filling electric quantity difference, four kinds of electric power retail package are formulated respectively;Construct the electric power retail package judgment model based on GPT, judge the peak clipping and valley filling time difference and peak clipping and valley filling electric quantity difference of customer, according to the judgment result of GPT selects to push one of package one to package four to customer.The application can realize according to the peak clipping and valley filling characteristics of customer, and the appropriate electric power retail package is customized and pushed to user, improves the accuracy of push, improves the enthusiasm of user participation electric power package activity.

The application provides a computing power service operation management method, device, storage medium and program product, and is applied to a computing power service operation management method of a user terminal, which comprises the following steps: performing security verification on to-be-processed data, and feeding back a security verification result to a blockchain trusted operation platform, so that the blockchain trusted operation platform verifies the security verification result, and feeds back a verification result to a computing network operation platform; performing encryption processing on the to-be-processed data based on the blockchain, and sending the to-be-processed data after the encryption processing to a target computing power resource node through a network channel; wherein the network channel is opened by the computing network operation platform based on the verification result; and receiving a computing power service result fed back by the target computing power resource node based on the to-be-processed data. Through the opened network channel, the to-be-processed data is directly sent to the target computing power resource node, so that redundant forwarding of the to-be-processed data between various operation platforms is avoided.

The invention relates to the technical field of voice services, in particular to a multi-language natural voice interaction method and system for a coffee robot, and the method comprises the steps: collecting a voice signal of a user, carrying out the recognition of the language type of the voice signal, obtaining the type information of the voice signal, activating a corresponding language recognition model according to the type information, and carrying out the recognition of the type information; performing semantic analysis processing on the voice signal, generating language text information corresponding to the voice signal, performing coffee customization demand analysis on a user based on the language text information to obtain coffee customization information of the user, initiating a voice interaction behavior to the user according to the coffee customization information to obtain an interaction feedback instruction of the user, and sending the interaction feedback instruction to the user. And a corresponding coffee beverage is produced according to the interaction feedback instruction and the coffee customization information.

The invention discloses a network service method and device based on business prediction and a storage medium. The method relates to the field of artificial intelligence, and comprises the following steps: when detecting that a target customer enters a financial institution website or after detecting that the target customer enters the financial institution website, identifying facial features of the target customer through a face identification technology under the condition of obtaining authorization of the target customer; obtaining customer information of the target customer according to the facial features; inputting the customer information into the target model, and outputting a predicted to-be-handled service of the target customer through the target model; according to the predicted working state information of the to-be-handled business and the network business channel, a preparation business channel is configured for the target client; and providing services for the target customer according to the predicted to-be-handled business and the prepared business channel. Through the method and the device, the problem of low service efficiency of the network since the network cannot configure a business channel in advance before the user handles the business in the prior art is solved.

The present disclosure provides a pre-order allocation method and device, and relates to the technical field of Internet application. A specific embodiment of the method comprises the following steps: determining a journey starting point and a journey starting time corresponding to a pre-order to be allocated; determining a target time for allocating the pre-order according to the journey starting point and the journey starting time; and allocating the pre-order in response to the arrival of the target time. This embodiment can allocate the pre-order at a more reasonable time, avoiding the problem that the service provider waits for a long time after receiving the order or does not successfully match the service provider until the order journey starting time, thereby improving the service efficiency and the utilization rate of service resources.

The application discloses an information association method, an electronic device and a computer readable storage medium. The method comprises the following steps: determining a target human body in a to-be-processed image, the to-be-processed image being an image collected by a target number taking machine at a target time; determining whether the target human body implements a number taking behavior on the target number taking machine based on the action of the target human body; and in response to the target human body implementing the number taking behavior on the target number taking machine, associating the target human body with number taking information generated by the target number taking machine within an association time period at the target time. Through the above method, the human body (number taking personnel) corresponding to the number taking information can be determined, the management of the number taking personnel in the subsequent queuing process is facilitated, and the service quality and efficiency for a single number taking personnel are improved.

This application discloses an adaptive energy-saving operation control system and method for escalators that detects passenger flow, relating to the field of intelligent control technology. It solves the technical problem in existing technologies where the threshold is generally set to a fixed value when comparing passenger flow with a threshold. This can lead to congestion and potentially stampedes during peak periods like holidays. This application utilizes data sensors to collect real-time passenger flow data entering the escalator area; it controls the escalator's start and stop based on the real-time passenger flow; it adjusts the escalator's operating speed based on the real-time passenger flow; it predicts passenger flow based on historical data; and it determines the escalator's maintenance and inspection time based on the prediction results. This system not only controls start and stop but also adjusts the operating speed based on real-time passenger flow. Appropriate speed reduction can bring exponential energy savings, directly reducing electricity costs and extending equipment lifespan.

The invention discloses a client interaction data analysis method and device, equipment and a medium. By automatically extracting semantic features and emotional features in customer interaction data, accurately analyzing customer appeals and emotional states, intelligently associating a target business entity with historical cases in combination with a preset domain business knowledge base, and generating associated features with business interpretability, risk analysis is deeply rooted to a professional knowledge system. And performing comprehensive intelligent research and judgment by fusing the multi-dimensional features, and automatically outputting a structured decision result containing a risk type, a risk level and a processing priority. Traditional low-efficiency and lagged risk research and judgment depending on manpower are converted into a real-time and accurate intelligent decision-making process. According to the invention, intelligent discovery and early warning of service risks are realized, and service personnel are assisted to make efficient responses according to clear priorities, so that the service efficiency and the service quality of online customer services are comprehensively improved, and the customer satisfaction is effectively improved.

The embodiment of the invention provides a service method and device, equipment, a storage medium and a program product, and relates to the field of big data. The method comprises the steps of obtaining a query text of a user and determining a corresponding first query vector; corresponding query result information is determined in a multi-modal database according to the first query vector, the multi-modal database comprises a vector database constructed according to vectors corresponding to the unstructured data and a knowledge fragment library constructed according to the structured data, and the query result information comprises result vectors and result knowledge fragments; according to the query result information and historical query information, corresponding first reply information is generated through a natural language generation model, and the historical query information comprises a query text. According to the method, the capability of processing complex interaction is improved.

The invention belongs to the technical field of multi-village government affair service optimization methods, and particularly relates to an internet-based multi-village government affair service optimization method and system, which adopts a mode of combining satellite images, unmanned aerial vehicle surveying and mapping and mobile terminal off-line acquisition APP, grabs land boundary and terrain space data, acquires population household registration and contract business data, and provides a multi-village government affair service optimization method and system. Historical paper archives are identified through OCR batch scanning, and information is extracted and input into an information management system; the method comprises the following steps: constructing an AI and RAG intelligent cleaning model, filling data missing values by applying a generative adversarial network, recognizing population repeated registration and land area conflict abnormal data through a local abnormal factor algorithm, training an entity recognition model by relying on a rural government affair vertical RAG library, and automatically labeling data attributes and association relationships.

The application relates to a taxiway path optimization method and system for reducing potential conflicts in a flight area, belonging to the technical field of airport scheduling methods, which considers potential conflicts between aircrafts and aircrafts and between aircrafts and ground service vehicle routes, and constructs a mixed integer quadratic programming model for aircraft taxiway path optimization, with a main target of minimizing potential conflicts between aircrafts and aircrafts and between aircrafts and vehicles, and a secondary target of minimizing ground service vehicle driving distances; the aircraft taxiway path optimization model is solved, and an optimal solution is output, including aircraft taxiing paths and ground service vehicle service paths, types and quantities of potential conflicts, and the results can be used for reanalysis by adjusting parameters, thereby providing reference for airport aircraft and vehicle scheduling decision makers. Compared with the prior art, the application considers the safety of ground traffic and the convenience of passengers, and optimizes the allocation of aircraft landing and taking-off aprons and runways and the taxiing paths in an all-round way, which helps to guarantee the safety of taxiways and improve the operation efficiency of airports.

The invention discloses a dynamic optimization method and device for medical treatment resource reservation, equipment and a medium. The method comprises the following steps: acquiring and preprocessing multi-dimensional panoramic data; constructing a bimodal patient model of static clinical portrait and dynamic state evolution, and combining a dynamic weight clinical index evaluation and clinical priority dynamic quantification method to obtain clinical features of the patient; obtaining an inspection time length prediction result, and constructing an inspection operation constraint matrix to obtain an inspection operation constraint rule; an MADDPG multi-agent resource scheduling model under the CTDE framework is constructed, and a resource scheduling joint optimization strategy is obtained through multi-agent joint training; and generating a reservation scheme based on the resource scheduling joint optimization strategy, and performing rolling updating on the reservation scheme based on a look-ahead rolling rescheduling mechanism. The invention belongs to the field of diagnosis strategy optimization. According to the invention, a more reasonable doctor-seeing appointment strategy can be provided for the doctor-seeing personnel.

The application provides a wind power gear box tower part replacement general opening box tool, characterized by: four combined columns; the screw rod of the combined column is fixedly connected with a fixed plate; the two ends of an axial long cross beam are fixedly connected with the fixed plate, and the fixed plate connected with the axial long cross beam is below the uppermost fixed plate; the two ends of an axial short cross beam are fixedly connected with the fixed plate, and the fixed plate connected with the axial short cross beam is the uppermost fixed plate; the axial short cross beam and a fixed radial cross beam are fixedly connected; the two ends of the movable radial cross beam are fixedly connected with the upper surfaces of two I-shaped steel pulleys, and the two I-shaped steel pulleys are installed on the two axial short cross beams on the two sides. The application provides the opening box general tool for improving service efficiency and model adaptability under the premise of ensuring safety and service quality.

This application relates to a novel integrated civil aviation information and check-in terminal. It features a unique structural layout with a main base integrating a main control board and identity verification components. The main display module is connected to the front of the main base via a hinge mechanism, while the secondary display module is connected to the rear via an adjustable support arm. This design achieves high integration, solving the problems of fragmented equipment and cluttered counters in existing technologies, thus improving the cleanliness of the working environment. Furthermore, the main and secondary display modules are equipped with pitch-adjustable hinge mechanisms and flexibly adjustable support arms, ensuring both long-term operational comfort for staff and a user-friendly interactive experience for passengers of different heights. In particular, the linkage design between the main display module and the suction cup at the bottom of the base further enhances the operational stability and mobility of the equipment, effectively improving the service efficiency and quality of airport counters.

The invention discloses a multi-service-node self-adaptive queuing scheduling and customer experience improving method, and relates to the technical field of service node scheduling. The method comprises the steps that 100, multi-dimensional data are collected, the multi-dimensional data comprise service node resource parameters, customer demand parameters and workflow state parameters, and the service node resource parameters comprise historical service data; step 200, constructing a global resource scheduling pool, updating node capability labels and weights based on the service node resource parameters, synchronizing state information of all service nodes, and realizing cross-node cooperative scheduling and load early warning management; and step 300, based on the customer demand parameter and the node capability label, executing bidirectional adaptation of the demand and the node, and outputting a target service node. According to the method, multi-service node resource configuration is optimized, the demand and node adaptation accuracy is improved, a customer is endowed with an independent selection right, bad experience is reduced, efficient circulation of workflow is guaranteed, and the service efficiency and customer satisfaction are comprehensively improved.

The application discloses a quantum circuit scheduling method and related device, and belongs to the technical field of quantum computing. The method comprises the following steps: obtaining the topology structure of a target quantum circuit as a first topology structure, wherein the target quantum circuit is a quantum logic circuit which initiates a scheduling request but has not been scheduled in the current batch of scheduling; determining a target physical bit group allocated to the target quantum circuit based on the first topology structure and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between each second topology structure in a topology set and an available physical bit group, and the topology set is composed of all possible second topology structures determined by the physical bit layout of a quantum computing platform; when there are still quantum logic circuits which have not been scheduled and available physical bit groups in the current batch of scheduling, selecting one of the quantum logic circuits which have not been scheduled as a target quantum circuit, and returning to execute the step of obtaining the topology structure of the target quantum circuit as the first topology structure; when there is no available physical bit group, or when there is an available physical bit group but all quantum logic circuits which initiate a scheduling request have been scheduled, executing the target quantum circuit which has been allocated the target physical bit group in parallel. The application improves the service efficiency and throughput of the quantum computing platform.

The embodiment of the invention provides a business work order generation method and device, electronic equipment and a storage medium, belongs to the technical field of artificial intelligence, and is suitable for the field of financial science and technology. The method comprises the steps of obtaining session data input by a target object and user portrait features of the target object; performing feature extraction on the session data to obtain session features; performing type matching on a service type library based on the session features and the user portrait features to obtain candidate service types; reply generation is carried out based on the session features and the candidate service types, and target reply content is obtained; the target reply content comprises a target reply verbal skill and a target business handling plug-in; replying to the target object based on the target reply verbal skill, and pushing a target business handling plug-in to the target object; receiving work order feedback data input by the target object in the target business handling plug-in; and performing work order synthesis based on the work order feedback data to obtain a target business work order. According to the embodiment of the invention, the business work order generation efficiency can be improved.

The application discloses an intelligent question answering method and device, electronic equipment and storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring question information; searching a first knowledge base according to the question information; the first knowledge base stores a plurality of question-answer pairs constructed according to static information data; if a matched target question is searched, outputting the corresponding answer; otherwise, inputting the question information into a question answering model to obtain an answer output based on a second knowledge base; the second knowledge base stores a plurality of knowledge vectors constructed according to dynamic information data. According to the application, the question-answer pairs are constructed according to the static information data, and the knowledge vectors are constructed according to the dynamic information data, so that the workload of manually entering data can be reduced, and the timeliness of the answering basis can be improved; by searching the first knowledge base first, and outputting the answer based on the second knowledge base by the question answering model in the case of a miss, the answering failure or error can be reduced, and the question answering efficiency can be improved.

This invention relates to a knowledge graph-based intelligent customer service question-and-answer precision recommendation and processing method, belonging to the field of electronic digital data technology. The method includes: constructing a conversation prediction knowledge graph based on the historical conversation counts from multiple channels; predicting the future conversation counts from multiple channels based on the conversation prediction knowledge graph and the current conversation counts from multiple channels; setting the number of robot agents and human agents based on the future conversation counts from multiple channels; accessing conversations from multiple channels, using robot agents to perform semantic understanding of user questions in the conversation, constructing a user demand profile, and determining whether to assign a human agent; if so, assigning the optimal human agent based on the status data of the human agent; if not, generating answers based on the user demand profile, conducting a dialogue, and generating recommended questions based on a question association graph. The question association graph records the relationships between multiple questions, which has the advantage of improving the quality and efficiency of customer service.

The invention relates to the technical field of clothing optimization management, and discloses an optimization management method and system based on clothing positioning price tag displacement monitoring, and the method comprises the steps: building a base station map, the base station map records position information of a plurality of electronic price tags and corresponding clothing information, a plurality of detection areas are established according to the base station map, the electronic price tags periodically report position data to a server according to the detection areas where the electronic price tags are located, and the server sends the position data to the server based on the number of movement times of the electronic price tags in a preset time period. And calculating a selected frequency corresponding to each electronic price tag, and sorting all the price tags according to the selected frequencies. According to the method, whether a user is interested in clothes or not is calculated and inferred by establishing a selected frequency algorithm, all price tags are ranked from high to low according to the values, and follow-up actions are triggered if the scores are high and the price tags are judged as high-popularity commodities, so that display optimization and collocation recommendation are assisted to be realized.

The present disclosure provides a kind of intelligent customer service method and device, electronic equipment, storage medium;It is related to data processing technical field.The method comprises: identifying entity information sent by user in customer service session;In response to the operation of the control corresponding to target business component, according to the entity information, matching associated content in corresponding association library;The association library is constructed according to the association between each business node in the business process corresponding to business scenario;Send the associated content to the user client in the customer service session.The present disclosure can solve the problem that the service quality and service efficiency are low due to artificial query each business system in the process of artificial customer service in related technology.

The utility model discloses a seat adjusting structure of a scenic spot scooter, and relates to the technical field of scenic spot scooter parts. The scooter comprises a scooter body, wherein the scooter body comprises a scooter bottom plate and a movable seat. An adjusting toothed plate is fixed to the middle front portion of the scooter bottom plate, and a gear is arranged in a movable base of the movable seat and meshed with the adjusting toothed plate. An adjusting groove is formed in the front end of the movable base and internally provided with an adjusting rod capable of being pressed downwards; an L-shaped adjusting clamping plate is arranged on the side of the gear, and a braking clamping head at one end of the L-shaped adjusting clamping plate can be clamped into a gear tooth groove and is kept in a locking state through a reset spring. When the adjusting rod is pressed down, the bottom end pushes the adjusting clamping plate to be separated from the gear, so that the movable seat slides back and forth; and after loosening, the reset spring drives the brake chuck to lock the gear again. The sliding seat can be unlocked only by pressing the adjusting rod downwards by a user, the sliding seat is automatically locked after being loosened, the handle does not need to be rotated repeatedly, the adjusting time is greatly shortened, and the vehicle turnover rate in the peak period of a scenic spot is remarkably increased.

The embodiment of the invention provides an agricultural disaster risk prediction method and device for agricultural insurance policies, electronic equipment and a medium, belongs to the technical field of artificial intelligence, and is suitable for the field of financial science and technology. The method comprises the following steps: acquiring original multi-source environment data; obtaining an agricultural insurance policy resource pool; the agricultural insurance policy resource pool comprises an original agricultural insurance policy, and the original agricultural insurance policy is used for underwriting a current crop; performing information extraction on the original agricultural insurance policy to obtain underwriting area information and current growth information of a current crop; based on the original multi-source environment data, the insured area information and the current growth information, performing knowledge retrieval on a preset agricultural disaster information base to obtain reference agricultural disaster information; performing risk prediction based on the reference agricultural disaster information to obtain agricultural disaster risk prediction data; and performing insurance policy screening on the original agricultural insurance policies based on the agricultural disaster risk prediction data to obtain disaster-affected agricultural insurance policies. According to the embodiment of the invention, the accuracy of agricultural disaster risk prediction can be improved.

The invention relates to a bank information processing method and device, equipment and a storage medium, relates to the technical field of data processing, and aims to at least solve the problem of low bank information processing efficiency in related technologies. The method comprises the following steps: selecting target communication information between a target user side and a server side from communication information generated from execution of each target service of a target bank card by the target user side to revocation of the target bank card; determining target behavior operation information generated when the target user side executes a preset behavior operation on each target service, and determining target service operation information generated when the server side executes each target service; and according to the target communication information, the target behavior operation information and the target service execution operation information, determining a target revocation type for revoking the target bank card, the target revocation type representing the communication information for revoking the target bank card.

The utility model discloses a PTC (Positive Temperature Coefficient) mounting structure for a new energy automobile air conditioner, which belongs to the technical field of automobile air conditioners and comprises a left shell, a right shell, a PTC heater, a lower shell, a cover plate and the like. The left shell and the right shell are matched to form an air conditioner box body, the PTC heater is arranged in the box body, and the bottom of the PTC heater is matched with the lower shell through a positioning pin and fixed through screws. The cover plate is arranged on the side face of the left shell, sealed through a rib groove structure and connected through screws. According to the structure, accurate positioning, stable fixing and reliable sealing of the PTC are achieved through modular design, the PTC is supported to be rapidly disassembled under the condition that an air conditioner assembly and an instrument desk are not disassembled, the structure is more suitable for maintenance and replacement, and the assembling efficiency and maintenance convenience are improved. According to the utility model, the connection structure between the PTC heater and the air conditioner box body is optimized into a modular structure consisting of the left shell, the right shell, the lower shell, the cover plate, the positioning pin and the like, so that the number of parts is effectively reduced, and the assembly process is simplified.

This invention provides an artificial intelligence decision-making method and system for a healthcare service platform. First, the medical knowledge graph module of the AI ​​decision-making system is activated and a preset set of domain parameter configurations is loaded. Next, the system receives real-time health consultation content and associated historical treatment sequence text pushed by the user from the healthcare service platform. Then, the received content undergoes medical semantic parsing and intent recognition processing to generate a user health problem representation vector and clinical decision-making need classification labels. Based on the medical knowledge graph module and the domain parameter configuration set, multi-round associative reasoning is performed to generate health risk assessment results and clinical intervention strategy suggestions. Finally, based on the health risk assessment results, a platform service response instruction is generated and sent to the business processing module to trigger the health service response process, thereby improving the service quality and efficiency of the healthcare service platform.