18 results about "Service mode" patented technology

This invention discloses an AI inference resource decoupling scheduling method and system based on a two-dimensional orthogonal state space. User AI service rights are decomposed into storage rights dimension σ and computing power rights dimension φ, constructing an orthogonal state space S=(σ,φ), where σ and φ change independently and have no causal dependency. Four service modes are derived from the state space: full service, read-only memory, temporary session, and guided recovery. State transitions in the computing power rights dimension are triggered by critical conditions of discrete quota counting: the cost r for a single token generation is defined as the lower limit of physical resources required for a single forward propagation of the model decoder. When the remaining quota Q(t) is less than r, the physical system cannot complete the next calculation, and the state will inevitably transition and terminate the computation flow. State switching is achieved through metadata-level atomic operations, and the execution time is independent of the user data scale. This invention clarifies the inevitability of the technical effect through logical deduction, is applicable to software or hardware-software co-implementation, and solves the problems of resource deadlock, switching latency, and service interruption under subscription systems.

The present disclosure provides a travel mode recommendation method, device, equipment, storage medium and product. After receiving a travel request of a user, if it is detected that the travel of the user meets the travel condition of a target service providing mode, the target travel option of the target service providing mode can be displayed to the user, and in response to a selection operation on the target travel option, the first travel interface is jumped to the second travel interface including the service providing information of the target service providing mode, and in response to a confirmation operation applied by the user in the second travel interface, the target autonomous vehicle providing travel service is allocated to the user. In this way, through condition screening, the recommendation of the target service providing mode such as the autonomous driving service mode and / or the unmanned driving service mode can be increased, the selection of the user is enriched, more travel modes are provided to the user, the user is guided to select the recommended target service providing mode, which helps to improve the travel pleasure of the user and improve the travel experience of the user.

The application relates to a work ticket content recommendation method for intelligent operation and maintenance, which comprises the following steps: S1: uniformly accessing maintenance related data to an unstructured component of a national grid data middle platform, and completing quality evaluation of related files by a quality detection tool; S2: after uniform access, the unstructured component carries out text extraction on document type data uploaded to the unstructured component to form to-be-labeled data through an xxl-job distributed task scheduling system; S3: adopting a bart labeling technology of a Transformer to carry out text labeling on the to-be-labeled data and positioning core content of a work ticket; S4: constructing a work ticket content automatic recommendation model based on a time sequence prediction LightGBM neural network, and carrying out API encapsulation and containerization deployment; and S5: integrating the work ticket content automatic recommendation model with a business system in a micro-service mode, and recommending work ticket preparation content in real time according to problem description uploaded by an operation and maintenance personnel. The application realizes real-time recommendation of high-quality work ticket content.

The satellite communication system (SCS) operates modally, and modal operation involves selection between a first forward service mode and a second forward service mode. The first forward service mode involves ground-based beamforming, while the second forward service mode does not. Therefore, feeder link bandwidth consumed for GBBF in the first forward service mode can be used to increase data bandwidth in the second forward service mode. Modal operation extends to first and second return service modes, which complement the first and second forward service modes, respectively.

The invention is to solve the problems of increasing investment cost of energy storage and mismatch between supply and demand of multi-cogeneration microgrid, and proposes a double-layer optimization configuration method of electricity-heat sharing energy storage for multi-cogeneration microgrid. Firstly, a new business model of electricity-heat sharing energy storage station is proposed, and the service mode, operation strategy and profit mechanism of the electricity-heat sharing energy storage station are analyzed. Secondly, a multi-objective double-layer programming model is established, which aims to minimize the operation cost of the electricity-heat sharing energy storage station and optimize the economy of the multi-cogeneration microgrid. Thirdly, the model is transformed and solved by using Karush-Kuhn-Tucker method. Finally, the example verification shows that the proposed electricity-heat sharing energy storage operation mode has significant advantages in reducing cost and improving economy, and the effectiveness of the proposed method in practical application is verified. The results show that the method proposed in the invention improves the utilization efficiency of energy storage resources, reduces redundant investment, and especially in the case of inconsistent demand period of electricity and heat, realizes flexible conversion and efficient scheduling between different energy forms.

This invention discloses a disaster recovery control method, system, terminal, and medium for millisecond-level switching between a toll station cloud platform and a downgraded service. The method includes: simultaneously connecting a toll station lane controller to both a cloud platform transaction service and a plaza downgraded transaction service, and reporting the connectivity and operational status of these services in real time; when the cloud platform transaction service is detected to be unavailable or in an abnormal state, determining whether to switch the current operating mode to the plaza downgraded mode, and completing toll collection using the plaza downgraded transaction service after receiving a confirmation switch command; if the cloud platform transaction service is detected to be restored and stably available, determining whether to switch the current operating mode to the cloud platform service mode, and completing toll collection using the cloud platform transaction service after receiving a confirmation switch command. This invention, through the lane controller handling millisecond-level device driving and critical data caching, combined with a primary / backup strategy and a downgrade mechanism, can ensure business continuity under various fault scenarios.

This invention relates to the field of power system automation technology, specifically to a method for intelligent dispatching and analysis of customer power outages based on low-voltage topology AI perception. The method includes: S1, periodically running the first automation module to automatically query customer power outage event data in the electricity information collection system; S2, processing and intelligently analyzing the power outage data, accurately determining the fault range based on a five-level analysis logic of "single household - meter box - branch - transformer area - line," matching responsible persons, and generating formatted notification messages; S3, securely pushing the message to the external network via an internal / external network connectivity tool, automatically forwarding it to the corresponding responsible group; S4, collecting on-site power outage causes through online forms, and generating a decision report through multi-dimensional statistical analysis using AI analysis tools. This invention achieves minute-level automatic perception of customer power outages, accurate fault location, and proactive dispatching, reducing power outage discovery time by more than 90%, effectively promoting a fundamental shift in customer service models from "passive reporting" to "proactive intelligent emergency repair."

The application discloses a field extensible knowledge graph construction method and device, equipment and medium. The method comprises the following steps: constructing an ontology structure of a field knowledge graph, and collecting field data; deploying a plurality of preset algorithms required in knowledge extraction to an algorithm warehouse, and generating a calling API of each algorithm in a micro-service mode; performing entity and relationship extraction on the collected field data by calling the API of a target algorithm, forming a triple, importing the formed triple into the field knowledge graph, and obtaining a constructed field knowledge graph. The field knowledge graph construction method provided by the application has good field extensibility, can realize rapid integration of different field algorithms and models, reduces the human and time costs of accessing algorithm models in different field applications, and improves the graph construction efficiency. Moreover, the field knowledge is fused by using self-training knowledge enhancement, external knowledge bases are not introduced, and the dependence on field data is reduced.

This invention discloses a multi-agent dynamic scheduling and skill sharing system and method, comprising a user interaction layer, a main scheduling layer, an execution layer, and a skill registration layer. The main scheduling layer uses a lightweight large language model to achieve task semantic understanding, subtask decomposition, and dependency analysis, constructing a directed acyclic graph (DAG) of task dependencies and automatically determining serial and parallel execution strategies. The execution layer consists of multi-domain-specific execution agents, supporting differentiated configuration of the underlying model according to task complexity. The skill registration layer decouples skills from execution agents through a global skill registration center, enabling cross-agent sharing, on-demand mounting, and hot-swappable expansion in a skill-as-a-service model. This invention significantly improves task matching accuracy, execution efficiency, and resource utilization, with auditable operation links and lower costs, making it suitable for complex task automation scenarios such as autonomous driving software development, enterprise process automation, and content creation.

Methods, systems, and apparatuses for managing service of dispensers include a system having a plurality of dispensers each configured to be located in a same washroom and to dispense a respective consumable hygiene product; and a controller configured to be located in the washroom, remote from the plurality of dispensers, and to have a service mode and an operational mode different from the service mode, wherein when in the service mode, the controller is configured to cause an audible or visual indication of a service need of at least one of the plurality of dispensers, and wherein the service need is one of the at least one of the plurality of dispensers having: a low or no remaining consumable hygiene product, an electrical or mechanical malfunction, and a low battery condition.

The application discloses a self-service check-in equipment counter mode adaptive detection switching method and system, relates to the technical field of check-in equipment, and comprises the following steps: defining multiple counter service modes in the central processing unit of the self-service check-in equipment, wherein the counter service modes have mutually exclusive access conditions and exit conditions; collecting multi-dimensional state signals of an air information host, a programmable logic controller, an application execution agent and a passenger interactive terminal; performing hierarchical priority mode trigger judgment on the multi-dimensional state signals, sequentially responding to safety events, air information host instructions, equipment and business states and passenger interactive behaviors, and determining a target counter service mode; after safety verification and process cleaning steps before mode switching, performing mode switching of the target counter service mode; and after completing the mode switching, synchronously updating man-machine interactive interfaces and external system state information. The application improves the autonomy, safety and service continuity of the self-service check-in system.

The application discloses a 6G all-in-one network management computing power session method and system, and belongs to the technical field of mobile communication.The technical problem to be solved by the application is how to realize flexible scheduling and on-demand allocation of computing power and network fusion resources in a 6G all-in-one network environment without changing network devices, and to build a mobile network environment supporting the computing power as a service mode for users.The technical scheme adopted is that the method is to deploy an algorithm network fusion perception network element, an algorithm network fusion control scheduling network element and an algorithm network fusion service arrangement network element on the core network side, so that the improved core network has the functions of communication, perception and computing power integration;and the computing power application request index is analyzed and identified, the computing power service arrangement is performed, the computing power and network Qos configuration mapping is performed, the algorithm network fusion resources are decided and scheduled, and the distributed collaborative computing task is issued, so that the computing power session creation is completed, so as to meet the different computing power requirements of mobile terminals.

The application discloses a kind of vehicle-mounted panel online diagnosis interactive control method, system, controller and vehicle, belong to vehicle technical field, wherein vehicle-mounted panel online diagnosis interactive control method, by vehicle-mounted panel can initiate the application to "car owner mode", "repair shop mode", "4S shop mode" three different diagnosis modes, meet the different needs of car owner daily self-check, social repair shop quick repair and 4S shop deep repair, different authorization mode is used according to different diagnosis mode, both guarantee the safety of vehicle core data, also take into account the use flexibility under different scenes.Diagnosis service mode driven by repair operator identity realizes the accurate mapping of diagnosis authority and business process, builds the trinity collaborative working mechanism of "car-cloud-shop", and breaks through the service chain from fault early warning to repair landing.

Generally described herein are various embodiments of an amplitude modulated (AM) radio Digital Signal Quality Metric (DSQM) system and method for allowing an HD Radio™ receiver to quickly ascertain whether an AM radio broadcast signal is present on an AM broadcast station. Moreover, embodiments of the AM DSQM system and method measure the quality of the AM broadcast signal. In some embodiments, the system and method indicate the quality of the AM digital signal with a range from 0 to 1, with “0” meaning a threshold for listenability and a “1” meaning highest quality for listenable audio. One embodiment also quickly identifies the Service Mode of an AM signal and computes a carrier-to-noise ratio (C / No).

Device (8) for grouping articles (14), comprising a first conveying device (18) and a second conveying device (22) downstream of it and moving faster than the first conveying device (18), and comprising a retaining and / or sliding device (26) associated with the second conveying device (22) for separating a defined number of articles (14) by forming a gap between successive groups of articles (28) and by delaying the separated group of articles (28) relative to the preceding group or by accelerating the separated group of articles (28) relative to the following group of articles (28), wherein the retaining and / or sliding device (26) associated with the second conveying device (22) is formed by sliding elements (30) engaging transversely in the conveying flow, which follow a predetermined closed circular path of movement (32), characterized in thatthat several thrust elements (30) each have separate drive elements (34) to realize different feed rates (v, V3 ) of the thrust elements (30) along the path of motion (32), wherein a maintenance or service mode is provided in which at least some thrust elements (30) can be moved out of an engagement and / or contact area with the articles (14) by positioning their respective drives on an upper section (38) of the path of motion (32).

The application discloses a hub AI travel small assistant working method based on multi-modal fusion and MaaS cooperation, which comprises the following steps: 1, collecting the demand of a user through a man-machine interaction interface, understanding the intention of the user through a natural language processing (NLP) module, and using a service arrangement engine to disassemble the demand of the user into several sub-services; 2, collecting the individual preference of the user according to all the sub-services; 3, automatically calling internal algorithm modules and external service provider interfaces in logical order; 4, using an AI large model to perform fusion analysis on multi-dimensional data obtained by using the internal algorithm modules and the external service provider interfaces, calculating the comprehensive utility of each travel scheme in real time, and performing sorting and recommendation; the sorting and recommendation is a recommended travel service mode combined with the individual preference; 5, realizing the corresponding sub-service through the external service provider interface. The application solves the fundamental contradiction between service fragmentation and demand diversification.

This invention discloses a cloud computing-based agricultural data service interface method, device, and medium, relating to the fields of smart agriculture and edge computing technology. The method includes: performing time-series pattern analysis on network service request logs using a Long Short-Term Memory (LSTM) network to predict the content and parameters of network service requests initiated by agricultural edge devices to the cloud service interface within a future time window, generating a predictive set of network service requests; based on the predictive set of network service requests and the latest real-time status data, collaboratively arbitrating a set of service processing strategies, and dynamically determining the service mode and interface cooperation method for each predictive network service request, generating network service interface cooperation instructions. This invention, by employing a LSM network to perform time-series pattern analysis on network service request logs and generating a service request prediction probability matrix, achieves proactive prediction of future service requests from agricultural edge devices, significantly improving the foresight of resource scheduling.

The application provides a database query processing method and device, relates to the technical field of big data, and can also be used in the financial field. The method comprises the following steps: periodically performing database detection based on a second preset time length, updating a database flag value to a second flag bit if it is determined that the database is in a normal state, and allowing the database to be queried; counting the number of occurrences of a database fault state, periodically acquiring the total number of occurrences of the database fault state in a preset time interval adjacent to the current time based on a first preset time length; updating the database flag value to a first flag bit if it is determined that the total number of occurrences of the database fault state is greater than a preset number threshold, prohibiting the database from being queried, and sending error information to the front end, so that the front end switches the data service mode according to the error information. The method and device provided in the application embodiment can improve the service capability.