74 results about "Service planning" patented technology

A technique involves modular storage of network service plan components and provisioning of same. A subset of the capabilities of a service design system can be granted to a sandbox system to enable customization of service plan offerings or other controls.

Device assisted services (DAS) install techniques are provided in accordance with some embodiments. In some embodiments, DAS install techniques for providing service processors for mobile devices are provided. In some embodiments, DAS install techniques for downloading / installing new and / or updated service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing verified service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing secured service processors for mobile devices are provided. In some embodiments, DAS install techniques include determining if a communications device in communication with a wireless network includes a service processor for assisting control of the communications device use of a service on the wireless network, in which the service processor includes a service profile that includes a plurality of service policy settings, and in which the service profile is associated with a service plan that provides for access to the service; and verifying the service processor. In some embodiments, DAS install techniques include providing a generic first version service processor for downloading and installing a second version service processor.

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.

The invention discloses an intelligent exhibition service system for an art display space, and belongs to the technical field of art display services, and the system comprises an audience information collection module which obtains the personal information of audiences and the data of art interests at the entrance of the art display space through a terminal registration or code scanning mode; according to the system, multiple modules of audience information collection, interaction intention recognition, emotional interest analysis, personalized service planning and display service control are integrated, so that comprehensive intelligent upgrading of audience experience in an art display space is realized; according to the method, the behavior habits and emotional states of audiences are analyzed in an all-around and multi-dimensional mode, and the highly personalized service planning greatly improves the visiting experience of the audiences, so that the audiences can freely select visiting routes and interaction modes according to own interests and preferences, and the interactivity and interestingness of exhibition are remarkably enhanced.

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 system obtains an event report identifying a UE, and a location of the UE. The system obtains a primary service plan provided to the UE, and a second service plan, where the second service plan is available to the UE at the location of the UE. The system obtains a first measurement of a parameter indicating a first QoS provided to the UE, and a second measurement of the parameter indicating a second QoS provided to multiple UEs, where the multiple UEs are proximate to the UE. The system compares the first and the second measurement to determine whether the first QoS is lower than the second QoS. Upon determining that the first QoS is lower, the system confirms that the second service plan is likely to improve the QoS. Upon confirming, the system sends a request to change the primary service plan to the second service plan.

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 embodiment of the invention provides a method, device and equipment for adjusting a stroke, a computer readable medium and a computer program product. The method described herein includes: presenting a target interface for adjusting a target itinerary to a service provider, the target interface including a plurality of elements corresponding to a plurality of positions in the target itinerary; changing the sequence of the plurality of elements in the target interface based on the received adjustment operation; and updating a service plan for the target itinerary based on the changed order, the service plan indicating at least a pass order of the plurality of locations in the target itinerary. Therefore, a driver can be supported to adjust the pick-up and delivery sequence of a plurality of orders in the travel, and the travel efficiency can be improved.

The system obtains an event report identifying a UE, and a location of the UE. The system obtains a primary service plan provided to the UE, and a second service plan, where the second service plan is available to the UE at the location of the UE. The system obtains a first measurement of a parameter indicating a first QoS provided to the UE, and a second measurement of the parameter indicating a second QoS provided to multiple UEs, where the multiple UEs are proximate to the UE. The system compares the first and the second measurement to determine whether the first QoS is lower than the second QoS. Upon determining that the first QoS is lower, the system confirms that the second service plan is likely to improve the QoS. Upon confirming, the system sends a request to change the primary service plan to the second service plan.

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.

Automated recommendation systems and methods provide product recommendations using a server, a processor, and including an Al Microservice. The Al Microservice receives user recommendation requests containing account identifiers and Sendee Plan IDs and retrieves historical sales data and pre-calculated association rules, applying Business Filters to align with business rales. Recommendations are generated using these rules and sales data, and then transformed into a Service Plan ID output array. This array is presented to users via a Frequently Bought Together (FBT) interface. The Al microservice employs an ensemble Al model that utilizes both reseller-specific and aggregated data to refine recommendations. This system ensures efficient, personalized product suggestions for users, streamlining the shopping experience.

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 invention provides a method and device for generating task planning information based on computing power of an intelligent computing center, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructure, and the method comprises the steps: taking a to-be-processed first business demand as a task planning target, carrying out task planning based on a target model, and obtaining target planning data, wherein the target planning data is used for realizing a response to a first business demand, the first business demand corresponds to a computer vision business, the target model is obtained by performing fine tuning on the initial model based on a plurality of fine tuning data, and the fine tuning data comprises a second business demand, planning prompt data and business planning data; the planning prompt data is used for prompting the model reasoning logic from the second business demand to the business planning data. Through introduction of the planning prompt data, before the model is guided to generate the planning data, more thinking is carried out, and the execution reliability of the target planning data output by the model is improved.

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 discloses an on-satellite autonomous random access and service method for a satellite network in earth-moon space. A satellite antenna in a network node periodically scans the earth-moon airspace and broadcasts access information of a satellite in the space; after the user receives the satellite broadcast information, sending user access application information; the satellite network receives user condition access information and transmits application access information to the constellation network random access planning node; judging a service mode and service time of the user according to the user access application information, and generating user and guide star visibility information; the satellite performs service planning according to the user service application information and the visibility information and generates receipt information; the satellite network broadcasts receipt information to the user; and the user receives the satellite receipt and sends receipt confirmation information to perform service access. According to the random access service system constructed by the invention, the constellation is ensured to provide efficient and reliable communication and navigation services through the scheduling of earth-moon satellite network resources according to user requirements.

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.

This generation device comprises: an input unit that, when a normal supply of a service provided on a network has stopped due to the occurrence of a failure at a plurality of locations on the network, receives input of information pertaining to the service, the normal supply of which has stopped in association with the occurrence of the failure, and the state of the network on which the failure has occurred; a calculation unit that, on the basis of the result of the input, calculates a reward indicative of the degree of restoration of the service for an action for repairing the locations where the failure has occurred; and a generation unit that, on the basis of the calculated reward, generates a plan for restoration of the service showing a location which is to be preferentially repaired among the plurality of locations where the failure has occurred.

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 service planning method and device, electronic equipment, a chip and a storage medium. The method comprises the following steps: acquiring an uplink timing advance; according to the downlink timing and the uplink timing advance, adjusting the uplink timing to obtain the adjusted uplink timing; and planning an uplink service on the basis of the adjusted uplink timing, and / or planning a downlink service on the basis of the downlink timing. According to the method disclosed by the invention, the uplink timing is adjusted through the downlink timing and the uplink timing advance; based on the uplink and downlink timing, the appropriate advance planning time can be selected to perform service planning on the uplink and the downlink, the design is simple, and the flexibility is high.

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.

The present invention relates to a source-grid-load coordinated expansion planning method considering the optimization of combined hydropower, wind-solar and direct current transmission, belonging to the technical field of integrated energy system planning and operation. The method carries out detailed modeling of cascade hydropower stations and demand response, and takes into account the operational constraints of direct current transmission. The method utilizes demand response resources to alleviate the intermittent output of wind and solar power stations on the power supply side, proposes a load-side demand response service planning model to reduce the system's long-term planning costs, and establishes a source-grid-load coordinated planning model. The method establishes an opportunity constraint model to ensure the system's operational safety and the effective absorption of wind and solar power output, and utilizes the strong extension formula of the sample average approximation method to transform the opportunity constraint model into a mixed integer linear programming problem for solution.