211 results about "Service mode" patented technology

A cooler and freezer access control system locks a cooler or freezer when occurrence of an event is detected that requires limiting access to the inside of the cooler or freezer. Examples of such events include the loss of power to the cooler or freezer for a predetermined period of time, the opening of the cooler or freezer door for longer than an allowed time, the loss of functionality of a temperature probe and others. In an embodiment, a service mode is supported wherein the door is left unlocked despite the occurrence of such an event, to allow a stocker or other personnel to leave the cooler or freezer door open while stocking the cooler or freezer with product.

A cooler access control system locks a cooler when occurrence of an event is detected that requires limiting access to the inside of the cooler. Examples of such events include the loss of power to the cooler for a predetermined period of time, the opening of the cooler door for longer than an allowed time, the loss of functionality of a temperature probe and others. In an embodiment, a service mode is supported wherein the door is left unlocked despite the occurrence of such an event, to allow a stocker or other personnel to leave the cooler door open while stocking the cooler with product.

A cooler access control system locks a cooler when occurrence of an event is detected that requires limiting access to the inside of the cooler. Examples of such events include the loss of power to the cooler for a predetermined period of time, the opening of the cooler door for longer than an allowed time, the loss of functionality of a temperature probe and others. In an embodiment, a service mode is supported wherein the door is left unlocked despite the occurrence of such an event, to allow a stocker or other personnel to leave the cooler door open while stocking the cooler with product.

A cooler access control system locks a cooler when occurrence of an event is detected that requires limiting access to the inside of the cooler. Examples of such events include the loss of power to the cooler for a predetermined period of time, the opening of the cooler door for longer than an allowed time, the loss of functionality of a temperature probe and others. In an embodiment, a service mode is supported wherein the door is left unlocked despite the occurrence of such an event, to allow a stocker or other personnel to leave the cooler door open while stocking the cooler with product.

The invention belongs to the technical field of artificial intelligence personalized services, and particularly relates to a reinforcement learning-fused user portrait dynamic construction and personalized recommendation implementation method, which comprises the following steps of: acquiring multi-dimensional user data; using the multi-dimensional user data to construct a multi-dimensional dynamic user portrait through a preset algorithm; based on the multi-dimensional dynamic user portrait, combining a collaborative filtering algorithm and a deep learning algorithm to generate a scene recommendation strategy; and monitoring user feedback and behavior data in real time, and optimizing the scenarized recommendation strategy by using the real-time monitored user feedback and behavior data. According to the method, the dynamic user portrait is constructed, scene recommendation is generated, and the strategy is optimized in real time by relying on reinforcement learning, so that the individuation degree, recommendation accuracy and user satisfaction of the service are remarkably improved, and the limitation of a traditional service mode is effectively broken through.

The invention discloses a power intelligent equipment operation and maintenance management method based on artificial intelligence, and the method employs a staged training strategy, combines a LSTM and CNN mixed structure to carry out fault prediction, effectively captures an equipment operation state change trend, recognizes a potential fault mode, remarkably improves the fault prediction precision, and meanwhile, improves the fault prediction efficiency. A flexible self-healing strategy is designed according to the fault type and severity, the adaptability of a self-healing process and the capacity of dealing with complex faults are enhanced, in addition, a trained equipment health assessment, fault prediction and self-healing model is packaged into RESTfu API service in a micro-service mode and is deployed to an edge computing module through Docker containerization, and the service performance of the edge computing module is improved. Intellectualization and integration of the operation and maintenance management system are promoted, the edge calculation module inferes and monitors the equipment state in real time and generates early warning information, real-time monitoring and early warning are achieved, once abnormity is found, self-healing operation is triggered immediately, manual intervention is reduced, and the operation and maintenance efficiency is improved.

The invention discloses an urban rail transit intelligent customer service center system based on AI and big data deep fusion, and relates to the technical field of intelligent customer service. Comprising the following steps: constructing an intelligent system covering the whole life cycle of metro operation by taking demand-decision-execution as a core; based on the construction of an intelligent system covering the whole life cycle of subway operation, an urban rail transit intelligent customer service center system is established through multi-source data fusion, multi-task collaborative learning, multi-modal interaction and digital twin simulation. The inquiry and travel requirements of most passengers are met, great convenience is provided for in-station activities of the passengers, the passengers are assisted in making decisions, related travel suggestions are provided, the future upgrading direction of the system can be automatically sorted out, the service mode is optimized, the quality is guaranteed, the number of personnel is reduced, the efficiency is improved, and the practical value is very high.

A cooler access control system locks a cooler when occurrence of an event is detected that requires limiting access to the inside of the cooler. Examples of such events include the loss of power to the cooler for a predetermined period of time, the opening of the cooler door for longer than an allowed time, the loss of functionality of a temperature probe and others. In an embodiment, a service mode is supported wherein the door is left unlocked despite the occurrence of such an event, to allow a stocker or other personnel to leave the cooler door open while stocking the cooler with product.

The embodiment of the invention provides a question and answer information processing method and device, a storage medium and a program product. In the embodiment of the invention, a second customer service module (such as virtual human customer service) is introduced between a first customer service module (such as robot customer service) and a third customer service module (such as manual customer service), a three-section service mode is constructed, and the second customer service module is used as an intelligent buffer zone. The answer information corresponding to the question information is generated through a plurality of intelligent modules included in the second customer service module, gradient smooth transition of the service capability is realized, the question information with different complexities can be matched to the customer service module with adaptive capability for processing, secondary complex questions rushing to a manual service agent are effectively shunted, and the user experience is improved. The dependence on manual customer service and the overall operation cost are greatly reduced, the average waiting time of the user is shortened, and the question and answer efficiency is improved.

Techniques of providing category recommendations include a category recommendation system that provides users recommended categories based on implicit data (e.g., user-item interactions) and / or explicit data (e.g., queries, user information). The recommendations can be personalized or non-personalized (i.e., depending if user embeddings are used), queried or non-queried (i.e., depending on whether query embeddings are used), or personalized and queried (if both user and query embeddings are used). In any of these cases, there is an offline mode and a serving mode. In the offline mode, a category embedding is generated from an aggregation of item embeddings associated with a candidate category. In the serving mode, the candidate category is selected for display on a user device based on a similarity between the category embedding and either, or both, of the user embedding and the query embedding.

The invention relates to the field of map data processing, and particularly provides a railway space data processing and integrating method based on a GIS (geographic information system) map, which comprises the following steps: constructing a geographic information system by adopting a distributed resource management technology; a containerization and micro-service architecture is adopted, businesses of the geographic information system are split into independent service units, and the independent service units run in a Docker container; integrating the basic base map data, constructing a basic spatial data resource pool, establishing railway thematic data, loading map data, performing data analysis and processing, and constructing a railway spatial map; dynamic updating and interaction effects of the railway space map are realized by processing user input events; railway facility information is superposed on a railway space map in a layer form by adopting a layer superposition technology, so that visual display of railway space information is realized. Based on a GIS one-map service mode, integration and sharing exchange of spatial information resources are achieved, and all-weather reliable support is provided for railway space application.

The invention discloses a service request processing method and device, equipment, a storage medium and a product, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a service request, wherein the service request comprises a target service type; acquiring a model state parameter and a resource parameter of the client; determining a target service mode according to the target service type, the model state parameter and the resource parameter, wherein the target service mode comprises an end cloud service mode or an end-end-cloud cooperative service mode; responding to the service request based on the target service mode; in the end cloud service mode, independently responding to the service request based on the target model, the target model being obtained by downloading in a server in advance; and in the end-end-cloud cooperative service mode, responding to the service request based on an end buffer, the end buffer storing a plurality of service records corresponding to the target service type uploaded by other clients. According to the invention, intelligent services can be provided for users with the most reasonable resource configuration under the condition of fully utilizing end-side resources.

An intraoral scanning device is configured to acquire intraoral scan data from a three-dimensional dental object. The intraoral scanning device includes a processing unit configured to process intraoral scan data and provide 2D image data and / or 3D image data, a memory, and a wireless interface configured to transmit the 2D image data and / or the 3D image data, wherein the processing unit is configured to receive a mode request via the wireless interface, the mode request is one or more of a service mode request for a service mode, a customization mode request, an upgrade mode request and a debug mode request, wherein the service mode is characterized in that a firmware part of the memory is writable, authenticate the mode request; and place the intraoral scanning device into the requested mode if authentication of the mode request succeeds.

The application discloses an I / O mode analysis method and device based on elastic storage and a storage medium, and the method comprises the following steps: capturing kernel I / O mode in a storage backend; analyzing and abstracting the I / O mode to obtain an analysis result; and importing the captured I / O mode and the analysis result into a new storage scene for reconstruction and playback. By implementing the application, the I / O mode is intercepted from the bottom layer, and the problem that the existing tracking technology cannot detect non-file services is solved. Meanwhile, the analysis method proposes a complete systematic design of extraction-analysis-reinjection, combines the current popular pattern matching and big data analysis and prediction technology, and makes the traditional technology play a greater role in the emerging cloud computing scene. In addition, through the analysis method, the cloud computing front-end service mode can be better understood in the distributed storage scene, and the bottom layer can be more targetedly optimized, so that the end-to-end quality is truly improved.

The invention discloses an Internet of Things security chip based on multiple quantum entropy sources, and a security authentication method, device and system. The Internet of Things security chip comprises a static preset quantum entropy unit; a dynamic real-time quantum entropy source circuit; an entropy source fusion and management unit; wherein the entropy source fusion and management unit is configured to support at least two operation modes: (A) a basic service mode: generating a device identifier based on the output of the static preset quantum entropy unit, or providing a true random number based on the output of the dynamic real-time quantum entropy source circuit; (B) a fusion binding mode: taking the output of the static preset quantum entropy unit as an equipment binding parameter, performing cryptographic processing on the output of the dynamic real-time quantum entropy source circuit, and generating a cryptographic material uniquely bound with the equipment; the chip architecture realizes hardware-level binding of equipment identity and password randomness, has the advantages of high security, flexible configuration and controllable cost, and provides an ideal hardware trust root for constructing massive and trusted Internet of Things.

The invention discloses a method for automatically skipping in AP network distribution, which is applied to intelligent equipment and comprises the following steps of: enabling the intelligent equipment to enter an AP mode and starting DNS (Domain Name Server) service for intercepting a network request so as to receive an HTTP (Hyper Text Transport Protocol) authentication request of a mobile terminal connected to the AP mode; for an HTTP authentication request initiated by a mobile terminal, the following operations are executed: 1) under the condition that the mobile terminal concurrently sends a plurality of HTTP authentication requests, identifying and locking the HTTP authentication request received for the first time for processing; 2) responding to the HTTP authentication request received for the first time, and sending an HTTP redirection instruction to the mobile terminal, the HTTP redirection instruction being used for guiding a browser of the mobile terminal to automatically access a built-in distribution network page of the intelligent device; after an access request of the mobile terminal to the distribution network page is received, the intelligent device sends data of the distribution network page to the mobile terminal and stops DNS service so as to switch to a normal Web service mode, and it is ensured that subsequent data interaction is not intercepted again.

The invention provides a power regulation method, a processing module and electronic equipment. The power regulation method comprises the following steps: receiving a power regulation instruction transmitted by a first processing unit; the power regulation instruction is generated when the first processing unit monitors that the service mode of the first wireless communication module is changed; transmitting a power adjusting instruction to a second processing unit, so that the second processing unit adjusts the transmitting power of the second wireless communication module based on the power adjusting instruction; wherein in the process of adjusting the transmitting power by the second processing unit, the second wireless communication module is in communication connection with the external electronic equipment. According to the technical scheme, the transmitting power of the second wireless communication module can be dynamically adjusted based on perception of the service mode of the first wireless communication module.

The invention provides a vehicle control method and device, a vehicle and a storage medium, and relates to the technical field of automatic driving. The method is applied to a chassis control module in a vehicle and comprises the steps that if it is detected that the control module in the vehicle breaks down, the fault type of the control module is determined; determining a control strategy of the vehicle in a maintenance mode according to the fault type; wherein the control strategy comprises the steps of controlling the vehicle to run based on the target vehicle speed through the control signal, or controlling the vehicle to steer and / or brake through the control signal, or sending fault information to a control background; a control strategy is executed in the service mode to move the vehicle from the current position to the service position. When the vehicle breaks down, the rescue efficiency of the vehicle can be improved.

A cooler access control system locks a cooler when occurrence of an event is detected that requires limiting access to the inside of the cooler. Examples of such events include the loss of power to the cooler for a predetermined period of time, the opening of the cooler door for longer than an allowed time, the loss of functionality of a temperature probe and others. In an embodiment, a service mode is supported wherein the door is left unlocked despite the occurrence of such an event, to allow a stocker or other personnel to leave the cooler door open while stocking the cooler with product.

The invention relates to the technical field of port logistics optimization, in particular to an outer container truck arrival operation time planning service and optimization method based on flexible reservation, which comprises the following steps: constructing a demand response service mode based on an outer container truck voluntary participation principle, and dividing outer container trucks into vehicles accepting service and vehicles not accepting service; submitting data information by the vehicles accepting the service, predicting information of the vehicles not accepting the service in combination with historical data, integrating multi-source dynamic data, and constructing a dynamic decision database; the demand response service mode is used for generating a personalized arrival time suggestion for each served vehicle on the basis of the dynamic decision database; and taking the minimum total turnover time of all the external container trucks at the port as a target function, establishing a mathematical optimization model, and realizing collaborative optimization of the system and individual targets. According to the method, on the premise of respecting individual preferences, the minimization of the total turnover time of all the outer container trucks at the port is realized, and finally the collaborative improvement of the overall operation efficiency of the system and the individual satisfaction of the outer container trucks is achieved.

The embodiment of the invention provides an information processing method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that a resource acquisition plan of a first account is acquired, and the resource acquisition plan is used for describing a first resource expected to be acquired; the number of the first resources is one or more than one; and in response to meeting a first preset condition, first information associated with the first resource is acquired, the first information is displayed to the first account, and the first information is at least used for acquiring the first resource. According to the technical scheme provided by the embodiment of the invention, a traditional passive and scattered resource acquisition process is converted into an active and automatic service mode through a plan driving and condition triggering mechanism, so that a user is prevented from repeatedly querying or tracking a resource state, user operation is reduced, cognitive burden is reduced, resource acquisition efficiency is improved, and information interaction experience is improved.

The invention discloses a business processing method and device, equipment and a readable storage medium, and the method comprises the steps: obtaining the historical business data of a business object in a first business mode, carrying out the resource analysis of the equipment transaction data in a historical time period based on a resource transaction rule of a second business mode, and obtaining the business data of the business object; obtaining predicted business data of the business object in the second business mode; searching N target service packets of which the service parameters are matched with the equipment service parameter set in the historical time period from the service packet set in the second service mode; and based on the business service parameters, the historical business data and the predicted business data of each target business packet, carrying out statistics on resource optimization information of each target business packet and pushing the resource optimization information to the business object. The method can be applied to the map field, the traffic field, the automatic driving field, the vehicle-mounted scene, the cloud technology, artificial intelligence, intelligent traffic, auxiliary driving and other scenes, the subscription adaptation degree of the cloud platform is improved, and the subscription cost is reduced.

The invention provides a list data processing method and system based on distributed search and data analysis, and the method comprises the steps: S1, defining a list data transmission mode and a structural mode, carrying out the classification according to the source of data, setting a threshold value for an adaptive data transmission mode, and stipulating a list data file as a standard XML tag and a structured data file; s2, defining a list data transmission mode, and adapting a data transmission mode matched with a scene according to a list data source needing to be collected, a threshold value of single-batch collected data and a data structure form; s3, defining list data service modes, including online, offline and combination modes, and comprehensively covering list data consumption scenes; and S4, establishing structured data storage, establishing an index for a distributed search and data analysis engine, completing list data collection and unification, and responding to a service scene concurrent request. The method comprises the steps of access mode definition, transmission form standard definition, structured storage, index establishment / reconstruction, load balancing and data service.

A satellite communications network (SCN) advantageously features selective use of a diversity service mode and a non-diversity service mode for providing service to individual user terminals (UTs) using a constellation of non-geosynchronous satellites included in the SCN. For example, for providing service to any given UT, the SCN may switch from the non-diversity service mode to the diversity service mode in response to determining that the non-diversity service includes one or more constrained view angles. The constrained view angles may be learned for the UT's location based on past monitoring by the SCN or may be estimated from view angle constraints learned for one or more locations in the vicinity of the UT's location.

The present disclosure provides an emergency satellite call method and a satellite communication system. The method comprises: a core network receiving an initial direct-transfer message sent by a calling terminal via a satellite base station, the initial direct-transfer message comprising a call management service request message of a non-access stratum; on the basis of the call management service request message, determining whether a current call service satisfies a preset condition for entering an emergency service mode, wherein in the emergency service mode, the core network does not perform authentication processing on the calling terminal and a called terminal during a call bearer establishment process; and if the current call service satisfies the preset condition, in the emergency service mode, establishing a first call bearer with the calling terminal, establishing a second call bearer with the called terminal, and completing a call between the calling terminal and the called terminal by means of the first call bearer and the second call bearer.

The invention relates to the technical field of man-machine interaction and intelligent wearable equipment, and discloses an emotion recognition and self-adaptive voice interaction method and system in a riding scene, and the method comprises the steps: collecting multi-modal data, such as audio, wind speed, riding mechanics and physiological signals; decoupling the physiological signals by using a personalized physical load model, and constructing a physical load and emotion wake-up vector; fusing physical load, emotion awakening and environmental risk, and constructing a multi-dimensional situation state vector; deciding a service mode based on the context vector, and generating an interaction intention state code; combining the wind speed and the state code to predict wind noise and adaptively filter, and enhancing the voice; generating content according to the service mode and the emotion and adjusting the voice style; and when the user is stable, the personalized physical load model is updated online. According to the method, clear, accurate and safe self-adaptive voice interaction and personalized model calibration during riding are realized by utilizing wind noise dynamic prediction, physiological state decoupling and multi-dimensional situation decision technologies.

The present application provides a vehicle service information processing method, apparatus, device, and storage medium, relating to the field of vehicle control technology. The method comprises: determining a target service mode based on user identification information, the target service mode including: new user mode or old user mode; obtaining the user's corresponding ride data based on the target service mode; generating control instructions corresponding to the in-vehicle service device based on the user's corresponding ride data; and controlling the in-vehicle service device to operate based on the control instructions corresponding to the in-vehicle service device. By applying the embodiments of the present application, the operating parameters of the in-vehicle service device can be automatically set, thereby improving the efficiency of setting the operating parameters of the in-vehicle service device.

The invention relates to an information interaction method of a large-screen terminal, which solves the problems of deep interaction level, complicated operation, low efficiency and lack of individuation of content recommendation of the large-screen terminal in the related technology by constructing a first card area guided to interact by an AI (artificial intelligence) agent and a second card area for displaying personalized recommendation content. According to the method, long-term and short-term historical interaction data and real-time session context of a user are combined, a highly personalized content card is generated and displayed, intelligent interaction mechanisms such as hovering trigger preview, multi-mode feedback and emotion recognition are introduced, and a passive operation mode of the user is converted into an intelligent service mode of active recommendation. According to the method and the device, the path for the user to discover the content is remarkably shortened, the key operation is greatly simplified, and the convenience, the efficiency and the intelligent level of user interaction are improved, so that the overall visual experience and the satisfaction degree of the user are optimized.

A power safeguard system and method belong to the technical field of new energy. The method comprises the following steps: acquiring acquisition information, wherein the acquisition information comprises electric equipment demand information and position information in a preset guarantee area, and environmental geographic information related to the area; receiving the collected information, processing the collected information into structured spatial data, and forming a structured spatial database; generating a charging pile site selection scheme based on the data in the spatial database and a genetic algorithm; generating a power transmission service path for the charging vehicle according to the charging pile site selection scheme and the weighted road network diagram; according to the real-time state and the task priority of the electric equipment, deciding to adopt a power conversion mode or a quick charging mode; and according to the charging pile site selection scheme, the power transmission service path and the decided power transmission mode, uniformly scheduling charging vehicles and resources to execute a power guarantee task. According to the method, multi-dimensional complex factors in a field environment are integrated, and charging facility site selection, power transmission path planning and service mode decision making are intelligently carried out.

The embodiment of the invention provides a multi-mode task processing method, a deployment method and electronic equipment under a multi-core processor, and the method comprises the steps: a management unit of each business mode wakes up a task thread deployed in a core of the processor according to the business load of the business mode, the kernels to which the task threads awakened for different service modes belong are different; wherein each task thread comprises a plurality of specific function logic units; the same task thread is deployed in one or more kernels, and task threads of one or more business modes are deployed in the same kernel. The technical problems that in the multi-mode task processing process, loads of a CPU hard core are uneven, tasks are frequently switched, and communication efficiency is low can be solved.