46 results about "Service planning" patented technology

The present disclosure provides systems and methods for real-time planning and fulfillment of multi-modal transportation services in a multi-modal ride sharing network. In particular, aspects of the present disclosure are directed to a computing system that creates an end-to-end multi-modal itinerary responsive to a user request for transportation service between an origin and a destination. The multi-modal itinerary can include two or more transportation legs that include travel via two or more different transportation modalities such as, as examples, via a car and via an aircraft.

The invention provides a conventional bus resource optimal configuration method and system considering subway toughness improvement, and belongs to the technical field of urban rail transit emergency connection. According to the method, actual factors such as a rail transit and bus network structure, conventional bus transportation requirements, metro emergency connection requirements, limited bus transportation capacity and bus system extension cost are comprehensively considered, and conventional bus service planning and metro interruption emergency response are collaboratively optimized; according to the method, stable operation of conventional buses can be guaranteed, meanwhile, passengers detained in the metro can be evacuated to the maximum extent, the service quality of a rail transit and bus connection mode can be improved, and the public transport network toughness can also be enhanced to the great extent. Meanwhile, in the collaborative optimization process of the conventional bus service and the bus connection service, a Pareto optimal method is introduced in view of the complexity of a dual-objective planning problem, so that efficient solving of an actual scale case is realized, and the method is closer to an actual problem.

A variety of testing environments and techniques are disclosed. An orchestrator control plane may generate a build plan comprising a plurality of ordered steps for bootstrapping one or more services. The build plan may be generated based at least in part on one or more service plans and manifests that individually specify a deterministic process for bootstrapping a service. The orchestrator control plan may instruct a region orchestrator executing within an isolated testing environment to execute a test build of the one or more services according to the build plan. The region orchestrator may execute, as part of executing the test build, a subset of steps from the plurality of ordered steps of the build plan utilizing resources of the isolated testing environment and in an order identified by the build plan. At any suitable time, the isolated testing environment may be reset to enable subsequent test build executions.

The invention discloses a mining machinery service plan scheduling method and system, and belongs to the technical field of mining machinery, and the method comprises the steps: S1, carrying out the hierarchical data fusion, integrating the business data of a business system and the operation data of sensor equipment, and carrying out the exception processing of the data; s2, extracting spatio-temporal features to form a dynamic spatio-temporal feature fusion data set; s3, multi-task prediction is carried out by using deep learning, and fine-grained discrimination and increment correction of the effective working hours of the equipment are realized; and S4, dynamically adjusting and scheduling the service plan through data driving. The method has the advantages of integrating multi-source heterogeneous data in combination with spatial-temporal characteristics of a working place of the equipment, performing increment correction by using a deep learning algorithm, dynamically adjusting a service schedule, and ensuring good operation of the equipment.

The present disclosure relates to providing personalized service schedule in a computing network for a service provider to provide a service. In particular, the systems described herein utilize signal history of a plurality of users to train a model and to predict a cumulative signal amount for an individual user for a predetermined time frame in the future by drawing inferences from the model. The system described herein further transforms the predicted cumulative signal amounts to activity data and a personalized service schedule for the individual user may be updated based on the predicted activity data. The personalized service schedule may be utilized by disabling the service, or pausing the service or pausing a feature of the service when the predicted activity data indicates that the user is likely to be inactive.

The invention discloses a rail transit connection service quality evaluation and optimization method based on an intelligent traffic technology, and relates to the technical field of traffic connection, and the method comprises the steps: firstly collecting multi-source data, processing passenger complaint data through an AI model, constructing a dynamic knowledge graph, generating an optimized unmanned connection scheduling strategy set through a Diffusion Model and a PPO reinforcement learning algorithm, and carrying out the optimization of the unmanned connection scheduling strategy set; regional service planning information is obtained in combination with various data, then connection station positions and vehicle resource allocation information are obtained and optimized through the steps of clustering analysis and the like, a connection resource scheduling problem is modeled as a QUBO problem, a mixed quantum annealing strategy is adopted for solving, emergency connection path recombination is achieved, and the emergency connection path is optimized. The operation data is periodically obtained to evaluate the service quality index, resource configuration optimization adjustment is carried out on the stations exceeding the threshold value, the rail transit connection service can be comprehensively optimized, and the service quality is improved.

This design support device allows for the simulation of realistic traffic conditions by accommodating behavioral changes that align with the user's objectives. [Solution] A design support device comprising: a storage unit for storing service plan information and environmental information; an action purpose input unit for inputting action purpose information; a new facility information input unit for inputting new facility information; a generation unit that generates a behavior change model that changes the behavior of users within a domain using environmental information and action purpose information; a first calculation unit that calculates a first traffic state, which is the traffic state of the service mobile and each user in an environment where the service mobile and new facilities exist, using service plan information, environmental information, new facility information and the behavior change model; and a second calculation unit that calculates a second traffic state, which is the traffic state of each user in an environment where the service mobile and new facilities do not exist, using environmental information and the behavior change model, wherein the first calculation unit calculates the traffic state of the service mobile and each user after changing the behavior of users due to the influence of the new facilities.

The present invention discloses a dual-homed voice service recovery method and device, wherein the method includes the following steps: pre-configuring the Virtual Routing Redundancy Protocol (VRRP) deployed on the master and backup devices on a passive optical network (PON) link and planning voice services; when triggering a switchover between the master and backup devices on the PON link, dynamically adjusting the VRRP protocol priorities of the master and backup devices to dynamically switch the master and backup device states, and synchronously completing the update of the user-side voice service Address Resolution Protocol (ARP) table entries on the master and backup devices to restore voice services. This application can quickly restore unicast services when the PON link switches, while avoiding user service changes caused by the switching of gateway devices after the link switchover, making user-side service planning more convenient and saving resource consumption.

A cloud infrastructure orchestration service (CIOS) may track build progress. A service plan may define a first execution order for directing release of a service (e.g., resources that supply and deploy the service) to an execution target (ET) (e.g., a set of devices of a data center). The first execution order may be defined using transitions between ET checkpoints, where each transition and checkpoint are associated with a corresponding release. A directed acyclic graph (DAG) may be generated from any suitable number of service plans associated with the various services to define a second execution order of releases required to guide the services. When built, the CIOS may track release execution by updating the state of the ET to correspond to the ET checkpoint when the release succeeds. The ET state may be used by the CIOS to enforce the second execution order.

Various test environments and techniques are disclosed. The orchestrator control plane may generate a build plan that includes a plurality of ordered steps for directing one or more services. The build plan may be generated based at least in part on one or more service plans and a manifest that respectively specify deterministic processing for guiding the service. The orchestrator control plane may instruct an area orchestrator executing within the isolated test environment to perform a test build of one or more services according to the build plan. The zone orchestrator may execute a subset of steps of a plurality of ordered steps of the build plan using resources of the isolated test environment and in an order identified by the build plan as part of executing the test build. At any suitable time, the isolated test environment may be reset to enable subsequent test builds to be performed.

The present disclosure provides a system (108) and method (500) for managing service plan provisioning in a network (106). The system (108) receives a request corresponding to provisioning of service plan from external entity. In response, the system (108) checks availability of primary network node, and upon confirming availability, the system (108) provisions service plan in primary network node. The primary network node is monitored to detect any error within predefined time interval. If no error is detected within predefined time interval, the system (108) schedules a plan provisioning task for a set of secondary network nodes after the predefined time interval of provisioning the service plan in primary network node. In case an error is detected, the system (108) terminates the scheduled provisioning task for secondary network nodes, and cancels provisioning in primary network node. By doing this, the system (108) prevents propagation of incorrect service plans across network.

The invention discloses a BIM interaction method and device based on a large language model, a storage medium and an electronic device. The method comprises the steps that a target protocol of a unified format is defined, and the target protocol supports transmission among total element information such as geometry, attributes and associated documents of a BIM model; first request information packaged based on the target protocol is obtained, and the first request information is sent from the host side to the client side and comprises user demand description information and related model information; calling an interface of the large language model, performing task disassembly on the first request information, and determining a target calling service plan; the target service calling plan is sent to the server, a target BIM model result is determined based on an optimization scheme result returned by the server, and the server calls services according to the target service calling plan in sequence and determines an optimization scheme result. The technical problem that in the prior art, the cost of application of a large language model in the BIM field is high is solved.

This application discloses a business processing method, apparatus, electronic device, and computer-readable medium, relating to the field of computer technology. A specific implementation method includes obtaining a user identifier and corresponding historical detection data in response to a preset mechanism being triggered; determining a customization dimension based on the historical detection data; determining the similarity between the customization dimension and process nodes of each preset dimension of a service plan output model; determining a target process node based on the similarity, and then adding the customization dimension to the execution program of the target process node to generate a corresponding service plan and output the service plan. This method can quickly and accurately provide users with personalized services, improving service efficiency.

The invention discloses a dynamic business planning method, which comprises the following steps of: firstly, receiving text data input by a client; the text data at least comprises a first service request; in the process of processing the first service request, determining a second service request which is different from the characterization intention of the first service request; and processing the second service request, and outputting a service result corresponding to the second service request. Effective adaptation of user intention switching in the business processing process is achieved, the problem of flow interruption caused by intention change in the traditional technology is solved, business processing continuity and user experience in a complex interaction scene are remarkably improved, the enterprise-level service scene requirements of multi-intention concurrence such as customer service consultation, business handling and troubleshooting are effectively met, and the business processing efficiency is improved. And a simple and reliable technical support is provided for intelligent business operation of an enterprise.

The invention provides a cloud collaborative optometry service method and system for a mobile optometry vehicle, and the method comprises the steps: taking the mobile optometry vehicle as a discrete service point, and carrying out optometry service for scenes such as door-to-door, reservation communities, reservation companies, mountainous area obligations, remote regions and regions lacking medical resources; optometry data of a user is collected and preliminarily arranged, and encrypted and transmitted to the cloud server through the communication module; the cloud system checks the data, then analyzes and decides, generates a diagnosis conclusion and an eyesight protection suggestion, reversely transmits the diagnosis conclusion and the eyesight protection suggestion to the mobile optometry vehicle and synchronously stores the suggestion; a worker feeds back information to the user and updates an optometry service file of the user, and the cloud synchronously summarizes and counts service data to support subsequent service planning; the mobile optometry vehicle is used as a discrete service point and combined with the appointment scheduling module, various service scenes can be flexibly covered, the appointment requirement of a user can be responded, a service route can be actively planned, the optometry service blank of a weak area is filled up, and the coverage range of optometry service is expanded.

The embodiment of the invention discloses an intelligent customer service interaction method and electronic equipment, and the method comprises the steps: recognizing a related order state and a user intention after a consultation service request of a user is received; determining at least one service capability and service interaction process information according to the order state and the user intention; wherein different service capabilities correspond to different logic trees respectively, and are used for defining access logics corresponding to the service capabilities; calling an artificial intelligence (AI) model to enable the AI model to perform service planning according to the service interaction process information; and according to a service planning result of the AI model, pre-verifying whether a related order accords with the admission logic of the service capability, and interacting with a user according to a pre-verification result returned by the pre-verification tool. According to the embodiment of the invention, the method can avoid the conditions of'not answering questions', repeated playing of the same solution and the like.

The invention discloses an intelligent government affair service plan reporting method and system based on a large model, belongs to the technical field of government affair services, and aims to solve the technical problem of how to realize the reporting of an intelligent government affair service plan, improve the government affair service efficiency and reduce the workload of workers at the same time. According to the technical scheme, reinforcement learning is carried out on a large model, user intentions are recognized, and related data elements are accurately extracted; the large model automatically identifies and judges whether all element information recorded by the government affair service plan is completely collected or not: if not, multiple rounds of dialogues are performed through intelligent guidance until all inspection plan element information is collected, an inspection plan form is automatically generated, and the inspection plan form is formally included in an inspection plan library after being confirmed by a user; and after online confirmation, a formal government affair service plan and a corresponding government affair service plan list are automatically generated.

Adaptive ambient services are provided. In some embodiments, an adaptive ambient service includes providing an ambient service profile. In some embodiments, an ambient service includes implementing an ambient service profile for assisting control of the communications device use of an ambient service on a wireless network, in which the ambient service profile includes a plurality of service policy settings, and in which the ambient service profile is associated with an ambient service plan that provides for initial access to the ambient service with limited service capabilities prior to activation of a new service plan; monitoring use of the ambient service based on the ambient service profile; and adapting the ambient service profile based on the monitored use of the ambient service.

There is provided a network message server configured to establish a secure network data connection between the network message server and a mobile end-user device, the secure network data connection supported by a socket including a socket identifier (ID) having at least one of a port address or a port number, receive a request to transmit data to one of a plurality of mobile applications a the mobile end-user device, the request including a device ID corresponding to the mobile end-user device and one of a plurality of mobile application IDs corresponding to the one of the plurality of mobile applications, and generate a network data message based on the request, the network data message including application data and the one of the plurality of mobile application IDs corresponding to the one of the plurality of mobile applications.

The present invention discloses an intelligent exhibition service system for an art exhibition space, in the field of art exhibition service technology, the system comprising: an audience information collection module: at the entrance of the art exhibition space, the audience's personal information and artistic interest data are obtained through a registration terminal or a code scanning method; the present invention realizes a comprehensive intelligent upgrade of the audience experience in the art exhibition space by integrating multiple modules such as audience information collection, interaction intention recognition, emotional interest analysis, personalized service planning and exhibition service control. Through high-definition cameras, microphones, and eye tracking equipment technical means, the audience's behavioral habits and emotional state are analyzed in an all-round and multi-dimensional manner. This highly personalized service planning not only greatly improves the audience's visiting experience, allowing them to freely choose the visiting route and interaction method according to their own interests and preferences, but also significantly enhances the interactivity and fun of the exhibition.

The invention, which relates to the technical field of scenic spot operation management, discloses a large-model-driven text travel consumption multi-agent collaborative service system comprising a membrane structure deployment module for establishing a cross-system collaborative membrane structure by deploying a bottom-layer membrane, a middle-layer membrane, a high-layer membrane and a dynamic membrane channel, and a scenic spot project adaptation module. The method comprises the steps of dividing tourist group types through a membrane structure, generating feature tags corresponding to the tourist group types, calculating a project time period adaptation index according to project number increase data and environment comfort, generating an initial route through a route service planning module, optimizing and screening the route according to the project time period adaptation index, pushing navigation information, and pre-occupying resources. An emergency scheme is deployed, a route is dynamically adjusted to adapt to project, resource and tourist feedback changes, the adaptation condition of a project and a tourist in a specific time period is reflected through a calculated adaptation index, a data island is cracked through hierarchical cooperation of a membrane structure, the emergency response capability is improved by utilizing dynamic recombination, and the data quality is guaranteed by relying on multi-stage verification.

The invention discloses a power transformation equipment differentiation operation inspection plan optimization decision-making method and device, and belongs to the technical field of power transformation operation inspection, and the method comprises the steps: obtaining the information of power transformation equipment, an operation inspection center and operation inspection personnel; according to the information of the power transformation equipment, the operation inspection center and the operation inspection personnel, solving the multi-target operation inspection service planning model by using an improved multi-target differential evolution algorithm to obtain an operation inspection path decision result of the power transformation equipment in each region; the objective function of the multi-objective operation and maintenance business planning model respectively aims at minimizing the operation and maintenance cost, minimizing the operation and maintenance time and minimizing the number of operation and maintenance planning days. According to the method, the optimal operation inspection path in the region can be constructed in the current equipment management service, the problems of operation inspection resource waste, low efficiency and the like are solved, and the lean operation inspection level is improved.

The invention is suitable for the technical field of property service, and provides a property service plan distribution method and system, and the method comprises the following steps: receiving work order information which comprises a work order number, a project type, a field picture, a specific description, a service position, reporting time, and the number of influencing households; determining a security risk level and a demand skill of each piece of work order information according to the project type, the specific description and the number of affected households; determining the urgency degree of each piece of work order information based on the security risk level, the reporting time and the number of affected households; rearranging all unserved work order information based on the urgency to obtain a work order sequence; and distributing service personnel to each piece of work order information in the work order sequence in sequence according to the arrangement sequence. According to the method, the safety risk level and the urgency degree of each work order are accurately determined by comprehensively considering multiple factors, and the work orders are sorted based on the urgency degrees, so that the emergency work orders can be preferentially processed, and the rationality and the efficiency of work order distribution are improved.

A method for onboarding a wireless network extender in a wireless mesh network includes (a) transferring each of a first passphrase and a first service set identifier (SSID) to the wireless network extender, (b) adding the first passphrase to a list of allowed passphrases at a first access point of the wireless mesh network, and (c) at the first access point, accepting a connection from the wireless network extender on a wireless network identified by a second SSID. A method operable by an application of a user device for dynamic activation of communication service includes (a) receiving a voucher credential, (b) cooperating with communication infrastructure to verify the voucher credential, (c) receiving, from a user, a service plan selection, and (d) cooperating with the communication infrastructure to activate the service plan.

Provide a system. 【Solution means】 Input means for receiving information from customers, Analysis means for analyzing the received information using natural language processing technology, Plan generation means for proposing an optimal product or service plan based on the analyzed information, Means for presenting the proposed plan to the customer's visual display device and obtaining approval, Progress management means for monitoring the progress of the order, detecting problems and providing solutions, Operation means for processing the customer's requests in real time through voice input means and presenting information visually, Feedback collection means for collecting feedback from customers after order completion and using it for service improvement, A system including.

System, methods, and devices are disclosed for generating code segments of a service plan that represents a process for bootstrapping a service. A first directed acyclic graph (DAG) comprising a first plurality of edges and a first plurality of nodes representing releases and dependencies between releases of a process for bootstrapping a plurality of services may be obtained. A second DAG may be generated from the first based on executing a clustering procedure. A third DAG that is specific to the service may be generated based on traversing the second DAG. Code segments of a service plan may be generated based at least in part on the third DAG.

This invention discloses a smart healthcare service big data management system, belonging to the field of smart healthcare service technology. It includes an information service module, an island identification module, a service planning module, and a data analysis module. The information service module is used to set and update the information service map. The island identification module is used to perform data island analysis, acquire medical data collection records from various user entities, obtain the information service map, and perform real-time analysis of the medical data collection records based on the information service map to determine the data type of the island. The service planning module is used to divide the information service map into several service analysis areas. The data analysis module is used to analyze the collected medical data in the corresponding service analysis areas according to preset management items, obtain the monitoring and management results of the management items in the corresponding service analysis areas, identify the data type of the island in the corresponding service analysis areas, and perform deviation analysis on the corresponding management items based on the data type of the island to obtain the island impact value.

The invention discloses a rail transit scheduling method and device under the abnormal condition of a rail transit line, and the method comprises the steps: detecting the state of a target station of a train in the operation process of the train along the rail transit line; if the state of the target station of the train is a strong-to-small-traffic state, the train is controlled to turn back at the target station after the train reaches the target station; wherein the strong-to-small cross road state is that when it is monitored that part of road sections in the rail transit line are abnormal, the states of stations in the abnormal road sections are changed; and if the train is the train number corresponding to the service plan running chart, finding out an unfinished plan of the train number of the train service in the opposite running direction of the train from the plan running chart, taking the unfinished plan as a target plan, and controlling the train to run according to the target plan. According to the method, the train can be automatically scheduled to run on the basis of not changing the planned running diagram, and compared with manual scheduling, the probability of scheduling errors is reduced.

This disclosure provides an air conditioning system that can automatically control the set temperature of the air conditioning unit according to the plan. [Solution] The air conditioning system in this disclosure is an air conditioning system that air-conditions a space to be air-conditioned using an air conditioning device, comprising: an automatic control unit that automatically controls the set temperature of the air conditioning device; and a management unit that manages the service plan related to the air conditioning device contracted by the user, wherein the automatic control unit generates both a first period in which the automatic control is performed and a second period in which the automatic control is not performed when the plan managed by the management unit is a first plan, and generates a first period that is longer than the first plan when the plan managed by the management unit is a second plan different from the first plan.