2366results about "Reservations" patented technology

The invention provides a reservation and resource scheduling system based on cognitive intelligence and a self-evolution rule engine, and the system comprises a rule cognition and self-evolution engine, an enhanced visual configuration, deduction and auditing engine, and a dynamic loading, real-time decision and predictive optimization module. A rule cognition and self-evolution engine of the multi-target intelligent conflict resolution and collaborative scheduling module is used for constructing a knowledge graph and generating a reservation rule in a current state by adopting a deep learning algorithm; the enhanced visual configuration, deduction and auditing engine is used for providing a rule editing function for a user; the rule demand edited by the user is transmitted to the rule cognition and self-evolution engine for detection; the dynamic loading, real-time decision-making and predictive optimization module is used for enabling the changed rule to take effect immediately; and the multi-target intelligent conflict resolution and cooperative scheduling module is used for processing the conflict problem of the reservation requests or the conflict problem between the reservation requests and available resources.

As disclosed herein, a computer-implemented method for travel planning is provided. The computer-implemented method may include receiving, via a conversational user interface (UI), a user input associated with a product offered by a booking application. The computer-implemented method may include retrieving, from a database associated with the booking application, at least one attribute of the product. The computer-implemented method may include determining, using a first machine learning (ML) model of a plurality of ML models, a user intent associated with the user input. The computer-implemented method may include generating, based on the at least one attribute and the user intent, a first response to the user input. The computer-implemented method may include providing, via the conversational UI, the first response to the user input. A system and a non-transitory computer-readable storage medium are also disclosed.

The invention discloses an outpatient queuing and calling scheduling system based on an AI dynamic decision engine. The outpatient queuing and calling scheduling system comprises a multi-source data acquisition and preprocessing module, a DeepSeek intelligent prediction and scheduling engine, a dynamic priority ranking and calling module and a cross-department resource collaboration module. According to the method, the whole outpatient service process is reconstructed through AI, a closed loop of data driving, intelligent prediction, dynamic scheduling and cross-section collaboration is achieved, a traditional static queue is converted into a dynamic system capable of sensing disease severity, special crowd requirements and resource loads, the medical resource allocation efficiency is improved, the average waiting time of patients is shortened, and the medical resource allocation efficiency is improved. The rescue response speed of critical patients is improved by multiple times, meanwhile, the diagnosis period of difficult cases is shortened through automatic triggering of multidisciplinary consultation (MDT), pregnant women / disabled persons / elderly patients are automatically recognized in cooperation with the multi-modal recognition technology, dynamic priority values are given, and the priority service missed recognition rate is obviously improved.

The invention discloses a pedestrian behavior simulation operation control method based on an unreal engine. Efficient and vivid pedestrian behavior simulation is realized through five core modules: a three-dimensional scene construction module converts a BIM model based on an unreal engine Datasmith plug-in and constructs an interactive dynamic scene; the pedestrian model construction module defines multi-dimensional pedestrian attributes and supports data-driven initial distribution configuration; the hierarchical behavior control module realizes refined regulation and control of pedestrian behaviors through macroscopic path planning, microcosmic behavior decision and emotion driving; the dynamic resource optimization module adopts level-of-detail control and multi-thread task allocation to improve the operation efficiency of the system; and the real-time interaction and data analysis module provides scene regulation and control, data visualization and simulation data recording and playback functions. According to the method, the authenticity, the dynamic response capability and the controllability of pedestrian simulation are remarkably improved, and reliable technical support can be provided for traffic planning, emergency drilling and building design evaluation.

The invention discloses a hotel service sharing method for tourism resource linkage, and belongs to the technical field of hotel management. Hotel data are collected and standardized through a multi-source interface, an identifier associated with a scenic spot is generated, and a system aggregates regional hotels according to a target scenic spot of a user and performs preliminary screening; by analyzing user demands and combining historical behaviors to generate weights, comprehensive scoring and sorting are performed on candidate hotels by using a multi-dimensional weighted scoring model, and finally, the system automatically executes reservation operation of an optimal hotel, feeds back a result to a user, updates room state data in real time, and improves the user experience. The technical problem of dynamically matching hotel recommendation and real-time reservation on the basis of linkage of multi-source hotel information and scenic spot resources is solved, data structure standardization is ensured, real-time updating is supported, hotel recommendation and candidate hotel screening of scenic spot linkage are realized, dynamic scoring and optimal sorting are realized, and the efficiency of hotel recommendation is improved. The data is consistent with the actual house resource, and the user reservation experience is improved.

Some implementations to a multi-pane graphical user interface (GUI) where, during a dialog session between a user and a generative model system, the generative model system generates first pane responses that are rendered in a first pane of the GUI and generates a second pane response that is rendered in a second pane of the GUI and that is dynamically updated over the dialog session. Further, first pane user inputs, that are directed to the first pane, can cause an additional first pane response to be generated and rendered at the first pane and / or can cause an update to the second pane response. Likewise, second pane user inputs, that are directed to the second pane, can cause a corresponding update to the second pane response and can cause an additional first pane response to be generated and rendered at the first pane.

The invention provides a micro-nano processing platform user machine-hour management method and device, a storage medium and equipment. The method comprises the following steps: acquiring an equipment reservation request sent by a user; calling a user initial machine hour from the equipment machine hour management system according to the user identity information; if the initial machine time of the user does not meet the equipment machine time sum of the equipment reservation request, sending a prompt message that the machine time is insufficient to the user; real-time equipment operation parameters and user real-time operation records of a user in the equipment operation process are obtained, and a user machine time adjustment strategy is obtained according to the real-time equipment operation parameters, the user real-time operation records and the equipment reservation request; and adjusting the initial machine time of the user according to the machine time adjustment strategy to obtain a final user machine time, and sending the final user machine time to the user. Through the user machine-hour management method, transparent machine-hour management of the micro-nano machining platform is realized, and meanwhile, the opinions of standard operation of the user and the use efficiency of the micro-nano machining platform equipment are improved by utilizing the equipment machine-hour adjustment strategy.

The invention provides a new energy vehicle parking charging scheduling management method and system, and relates to the technical field of new energy charging management, and the method comprises the steps: receiving a charging reservation request sent by a new energy vehicle, including a vehicle identification code, a battery remaining capacity and an expected charging time period, obtaining a vehicle charging characteristic parameter, and combining with environment temperature correction; and the actual required charging time is accurately calculated. And on the basis of the charging duration, the expected charging time period and the charging pile operation state, a dynamic scoring method is adopted, a comprehensive score is calculated through duration matching score and reliability score weighting, and an optimal charging pile is selected for distribution according to a scoring result. According to the method, a weighted dynamic scoring method of the duration matching score and the reliability score is adopted, the user demand, the operation state of the charging pile and the environmental influence are comprehensively considered, the optimal distribution of the charging pile resources is ensured, and the overall operation efficiency and the service quality of the charging station are remarkably improved.

The invention discloses a method for training a large language model, a method for calling a tool based on the large language model and computing equipment. The method for training the large language model comprises the steps that first task description is input into a target large language model, multi-step prediction is conducted in sequence through the target large language model, a first prediction track is obtained, and tth-step prediction output comprises a first planning text and a first execution action used for indicating to call tools in a preset tool set, the first planning text is used for representing operation steps obtained through prediction based on the first task description, the prediction output of the target large language model in the first t-1 step and a tool calling result corresponding to a first execution action of the prediction output in the first t-1 step; obtaining each first reward value of each step based on each first execution action in the first prediction trajectory through a trained reward model; and according to a reinforcement learning algorithm, updating parameters of the target large language model at least based on the first reward values, and realizing training of the large language model under a reinforcement learning framework.

The invention relates to the technical field of retail supply chain and store resource management, and discloses a service reservation data-based store resource dynamic allocation method, which comprises the following steps of: constructing a coupling association graph of a service item and commodity combination by adopting a graph optimization algorithm fused with sparse perception constraint; according to a core service item determined by the coupling correlation graph, obtaining a reservation fluctuation mode of the core service item by using a time sequence decomposition method of an embedded state feedback mechanism; constructing and training an attention convolutional neural network model combined with local feature self-correction, and predicting service resource demand distribution of the store by using the model; generating a store resource collaborative configuration strategy based on the service resource demand distribution and the associated commodity combination real-time inventory data; according to the invention, accurate coupling prediction and collaborative dynamic allocation of the service reservation demand and the commodity inventory demand are realized, so that the efficiency and accuracy of store resource allocation are remarkably improved.

The invention discloses an electronic ticket ordering and payment application system based on a block chain, relates to the technical field of block chains, and is used for ticket business whole-process digital management, and a user interaction module supports multi-terminal operation and information management; the block chain order management module is responsible for order chaining and state updating; the multi-mode payment module supports double-track payment and encrypted transmission; the comprehensive matching module is linked with the block chain order management module and comprises a meal subsystem, a tourism subsystem, a hotel reservation subsystem and the like, and the passenger ticket verification module realizes multi-mode verification; the data storage module stores key data; and the intelligent contract scheduling module automatically executes the pre-deployed contract. The problems that an existing system is poor in data safety, low in efficiency and insufficient in adaptability are solved, ticket transaction safety and process automation are improved, data synchronization is guaranteed, multiple languages and multiple currencies are supported, user privacy is protected, multiple scenes are adapted, and travel and supervision requirements are met.

A system is provided.SOLUTION: A system including means for a user to input a destination, a departure point, a departure date, a period of stay, a desired transportation means, a condition of an accommodation facility, and a necessity of a rental car, means for collecting information on an optimum transportation means, an accommodation facility, and a rental car based on the condition of the travel from the Internet by using a generated AI, means for analyzing the collected data and generating a cost-effective travel plan, means for displaying the generated travel plan and time sale information of an airline company to a user, and means for communicating with a corresponding transportation means, accommodation facility, and rental car according to the travel plan selected by the user to make a reservation.SELECTED DRAWING: Figure 1

A management system used in a charging facility for performing non-contact charge to electric vehicles running in a charge zone includes a control apparatus including a processor and a memory and configured to select one or more charge permitted vehicles for which charge is permitted from an electric vehicle group including electric vehicles running in a determination area including at least part of the charge zone. The control apparatus is configured to calculate an upper-limit number of the charge permitted vehicles based on a target vehicle speed indicated to the charge permitted vehicles, to order the electric vehicles in the electric vehicle group in an ascending order of mileages based on the mileage of each electric vehicle composing the electric vehicle group, and to select the charge permitted vehicle from the electric vehicle group based on a result of ordering the electric vehicles and the upper-limit number.

The invention discloses a hybrid payment method and device based on air-railway linkage and electronic equipment, and relates to the technical field of aviation information or other related technical fields, and the method comprises the steps: analyzing a ticket buying request, and obtaining ticket buying demand information and user account information; determining a flight identifier and a railway identifier based on the ticket buying demand information, and obtaining a mileage payment rule of a target flight, a ticket price of the target flight and a ticket price of a target railway based on the flight identifier; the mileage integral of the target account is obtained based on the user account information, the mixed payment proportion and price are calculated based on the above information and preset constraint conditions, and a mixed payment strategy is generated; and payment operation is executed based on the hybrid payment strategy, and ticket issuing information is generated under the condition that payment succeeds. According to the invention, the technical problem of low efficiency caused by the fact that a user needs to manually acquire the mileage points, know the mileage point payment rule, manually calculate the payment proportion and purchase the ticket during the purchase of the interline ticket in the prior art is solved.

Techniques for a distributed and anonymized ticket exchange platform that may involve verifying a prospective member's identity using person identifiable information (PII), such as a driver's license, passport information, etc., upon registration. The prospective member's identity is validating using a variety of techniques, such as by contacting references and receiving confirmations that the prospective member is indeed genuine. A new account is created for the prospective member and an anonymized version of the PII is associated with the account.

The invention relates to the field of unmanned logistics, and provides an unmanned logistics vehicle system based on remote control and intelligent scheduling, and the system comprises an obtaining module which is used for obtaining a distribution map and building information of an unmanned logistics vehicle; the marking module is used for marking distribution points on the distribution map; the reservation module is used for acquiring the reservation time of each delivery article in the unmanned logistics vehicle, and the delivery address of each delivery article corresponds to a corresponding delivery point; and the distribution module constructs a distribution route of the unmanned logistics vehicle on the map based on the distribution point and the reservation time. When the system is used, the parking time is prolonged through the parking time prolonging module, enough pick-up time can be reserved for a pick-up person, conflict of reservation time can be avoided, meanwhile, a prompt is sent to a recipient before parking, enough reaction time is given to the recipient, meanwhile, the probability that a logistics vehicle is empty and the like is reduced, and the service life of the logistics vehicle is prolonged. And the distribution efficiency of the logistics vehicle is improved.

Systems and methods for providing contextual based actions based on a natural language input are disclosed. The method comprises: receiving, on a media device, a natural language input; determining, based on the natural language input, a first context of the natural language input; and determining, based on the first context, a first action. a dynamic action button is generated and configured to be selected by a user to carry out an action, and in response to the user selecting the dynamic action button, the systems and methods describe carrying out the first action.

The invention discloses an auction and multi-agent deep reinforcement learning-based electric vehicle charging scheduling method, and relates to the technical field of electric vehicle shared charging reservation scheduling. The method comprises the steps of providing an auction-based shared charging reservation system model; a sharing charging optimal user selection problem is formalized by taking maximization of social welfare as a target; an auction mechanism is introduced, and a new appointment user selection incentive mechanism is provided to calculate a winner set and the payment prices of winner; the system is further expanded, and the reservable time of the charging pile is divided into a plurality of time periods; a charging period selection algorithm based on a multi-agent deep reinforcement learning network is provided, and the objective is to maximize the utility of the charging of the electric vehicle user. According to the invention, the problems of too long waiting time and waste of charging pile resources caused by the fact that the electric vehicle users are gathered in the charging peak period in the existing charging reservation system can be solved, and meanwhile, a multi-period reservation and anti-strategy scheduling mechanism can be provided for the electric vehicle users.

The invention relates to the technical field of medical information, and discloses an outpatient service reservation management system based on big data, and the system comprises a global heterogeneous data fusion and management module which is responsible for obtaining data and capturing a real-time event through a hospital information system, an electronic medical record system and a real-time sign-in system, and performing cleaning and standardization processing on the data, and constructing a unified patient portrait model. According to the technical scheme, a dynamic doctor-seeing time length prediction model is called to carry out personalized calculation on the time length required by a single appointment, and an initial appointment queue formed by elastic time blocks with different time lengths is generated based on a calculation result, so that the technical effect of accurately matching appointment time length distribution with the actual demand of a patient is achieved; compared with the technical scheme that the out-call time of doctors is uniformly divided into fixed-length time units in the prior art, the defect that time resources of the doctors are idle or follow-up patient queues wait for a long time due to the fact that the preset duration and the actual duration are disjointed is overcome.

Total charging time to charge an EV from a starting SOC to a target SOC is determined based on vehicle related data. Home energy usage of a home in an EV availability time window is also determined based on home related data. EV idle power consumptions for an EV charging mode, an EV discharging mode, and an EV idle mode with neither charging nor discharging are further determined. A genetic algorithm is set up with cost and penalty functions. These functions are built, for each candidate schedule in a solution space, based on the starting state of charge, the home energy usage and the EV idle power consumptions. The genetic algorithm is run to generate an optimized schedule that includes schedule values for the time slots in the EV availability time window to control whether the EV is to charge, discharge or idle in each of these time slots.

A flight ticket management server (Server) includes flight ticket records (Records) each associated with a seat on an airline flight. Each Record includes permanent flight ticket swap offer details from a seller of a previously purchased and unused flight ticket. The Server sends Query Messages to seller's computer devices. Each computer device sends an Automatic Response, without human intervention and independent of a user of the computer device, indicating any seller requested changes to local flight ticket swap offer details stored in a local repository in the computer device. The Server generates a web page. The web page displays a) permanent flight ticket swap offer details from the Record, and b) local flight ticket swap offer details from the local repository, and a button that when selected via a browser in the computer device confirms seller's manual selection of a) or b) for current permanent flight ticket swap offer details.

The invention discloses an intelligent outpatient service guidance and triage management method and system based on artificial intelligence. The method comprises the following steps that patient information, symptoms and outpatient service data are collected to generate triage input; constructing a triage optimization model based on the input, setting waiting time, path cost, load rate and priority satisfaction degree as targets, and setting a time window, resources and dependency constraints; an improved squirrel search algorithm is initialized, a population code is adopted to represent a distribution scheme, and a fitness function is established; updating the candidate scheme according to a fitness function in iteration; repairing and locally optimizing the updating scheme; when the operation data fluctuates, self-adaptive adjustment is triggered, and updating is continued; and when the fitness function converges or the iteration upper limit is reached, outputting an optimal triage scheme, including departments, time windows and path allocation, and executing incremental optimization when the patient arrives or the shift arrangement is changed. The triage efficiency is improved, the load is balanced, and the requirements of priority patients are met.

The invention, which belongs to the technical field of intelligent parking lot parking space guiding, discloses an intelligent parking lot parking space guiding system comprising a sensing module, a processing module, a transmission module, an application module and an execution module. The sensing module is used for realizing parking space multi-dimensional data acquisition through a multi-dimensional data acquisition mechanism; the processing module is used for cleaning, analyzing, calibrating and judging the data acquired by the sensing module and outputting an accurate parking space state instruction; the transmission module ensures real-time and stable transmission of data; the application module is used for realizing parking space state real-time display, reservation process management and dynamic path guide service; the execution module is used for instructing to execute parking space locking or unlocking operation; through cooperative work of multiple modules and combination of hardware optimization and algorithm innovation, the system significantly improves the parking space occupation state identification precision, guarantees the effectiveness of a reservation function, optimizes the parking experience of a vehicle owner, and improves the parking space utilization rate of a parking lot.

The present disclosure is directed to an improved truck driving system and methods for improved truck driving, including solving well-known shortcomings in the truck driving industry. The system and software application, in which a truck driver or individual taking a long road trip, uses the app and system, along with third-party or integrated information about the scheduled route, to locate healthy truck stop stations, reserves a particular time for arriving, parking, exercising, taking classes, attending to hygiene and grooming, among other services and goods. The application also integrates with proprietary or third-party apps to provide advice on proper and healthier foods to purchase at the specific locations, and for safely driving and transporting goods.

An artificial intelligence-based integrated port management system, relating to the technical field of integrated port management. A ship data acquisition terminal is used for: acquiring ships appearing within a set location during a set time period, marking the ships as pending objects, synchronously acquiring standard information representing the dimensions of the pending objects, and transmitting to a main control terminal a pending object set consisting of multiple pending objects and the standard information thereof; and at the same time, synchronizing remaining berths among ship berths of a port and their corresponding berth adaptation values, wherein the matching between a berth adaptation value and standard information determines whether a pending object can be berthed in a corresponding remaining berth. Then, the main control terminal is used for performing one-to-one combination matching on all the pending objects and the remaining berths to obtain multiple object matching combinations, and then determining selected object combinations on the basis of a remaining value of each object matching combination. A first round of berth matching can be first performed on the basis of time periods and scenarios, and when there are no berths available subsequently, flexible scheduling can be achieved.

A server apparatus includes one or more processors and a storage medium storing a program. The program includes one or more instructions. The one or more instructions cause the one or more processors to execute: instructing an automatically drivable provider vehicle of a provider who provides a user with a charger installed in a parking space designated for use by the provider to move to a predetermined waiting area; transmitting a provider return notification to the user; instructing the provider vehicle to move from the waiting area to the parking space in accordance with a detection of an exit of the user vehicle from the parking space; transmitting a return notification to the provider in response to a return of the provider vehicle to the parking space; and increasing or decreasing a fee to be paid by the user or a profit to be provided to the provider.

The invention relates to an intelligent scheduling decision support method and system for a community bus special line, and solves the problems of unreasonable transport capacity distribution and insufficient key travel demand guarantee caused by incapability of distinguishing travel purposes in an existing scheduling method, and the method comprises the steps: firstly, integrating card swiping, reservation and static data to construct a travel demand data set; secondly, through a clustering algorithm, identifying travel destination modes and extracting multi-modal features, generating a prediction report containing a passenger flow thermodynamic diagram and a space-time probability matrix through prediction of an adaptive multi-head attention model, and further calculating service priorities of the modes; then, a decision framework coordinated by route planning and station jump decision intelligent agents is constructed, a global reward function is endowed with differentiated weights according to priorities, and a dynamic scheduling scheme is jointly generated; the method has the following effects: community bus accurate scheduling based on travel purpose identification and priority guarantee is realized, and transport capacity sharing is upgraded to on-demand intelligent distribution.

A system and method for decentralized identifier-based ticketing is provided. [Solution] A method for decentralized identifier-based ticketing includes a step in which a user device uploads a decentralized identification (DID) and a DID document to a Verifiable Data Registry (VDR) and registers the DID; a step in which the user device transmits the DID and requests the issuance of a verifiable credential (VC) for the purchased ticket; a step in which an issuer device obtains the DID document from the VDR via the DID; a step in which the issuer device interacts with the user device to authenticate ownership of the DID using an authentication method included in the DID document; and a step in which the issuer device issues a verifiable credential corresponding to the DID to the user device if the issuer device successfully authenticates ownership of the DID.