266 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 relates to the technical field of computer information, in particular to a joint combat target system data service system based on a large model. The system comprises a target system data processing module, a combat target feature fusion module, a combat relation knowledge graph construction module and a combat system service early warning module, and can obtain joint combat target system data and perform format classification division and target cleaning processing to obtain joint combat target system standard data; performing feature fusion mapping on the standard data of the joint combat target system to obtain combat target system fusion feature vector representation; and performing entity identification and relation extraction on the combat target system fusion feature vector representation, performing relation combination weight graph construction and combat service query and situation early warning analysis, generating combat situation early warning information, and providing a corresponding joint combat coping strategy suggestion scheme. According to the invention, the data processing and combat service mode of the joint combat target system can be innovated by using a large model technology.

The invention relates to an equipment control method and device, air conditioning equipment and a storage medium, and the equipment control method comprises the steps that audio data and a depth image of a space where first equipment is located are obtained; determining object information of an object in the space according to the audio data and the depth image; determining whether the object in the space meets a mode switching trigger condition or not according to the object information; and if it is determined that the object in the space meets the mode switching triggering condition, controlling the first device to be switched to a target working mode. According to the embodiment of the invention, through a multi-modal data fusion technology, the object information of the object in the space is accurately identified, and when the object in the space meets the mode switching trigger condition, the working mode of the first equipment is automatically switched, so that a personalized service mode is provided for the object in the space, and convenience is brought to a user.

The invention discloses an offline multi-channel customer demand processing system based on grid control. According to the system, a layered system and a multi-module cooperation mode are adopted, WeChat, phone and other multi-channel customer appeal data are collected through the data collection layer, and after cleaning and fusion are conducted through the data processing layer, the functions of work order control, service quality analysis and the like are achieved through the service logic layer. The system utilizes a plurality of advanced algorithms, such as natural language processing, voice recognition, intelligent work order distribution and other technologies, improves the appeal processing efficiency and quality, constructs a service quality evaluation model, and carries out risk prediction and intelligent decision making. In the aspect of performance, a cache and distributed architecture is adopted to guarantee the response speed and the concurrent processing capability, and good expansibility and compatibility are achieved. In addition, data security and privacy protection are ensured through an AES encryption algorithm and a block chain technology, and an algorithm model is optimized regularly. The system effectively solves the problem of a traditional service mode, and improves the service level and customer satisfaction of a power enterprise.

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.

The present invention discloses a home-based elderly care comprehensive service management system based on the Internet of Things, and relates to the technical field of the Internet of Things. In order to solve the problems in the prior art that the detection and response speed for emergencies is poor, especially the lack of more intelligent means for emergency handling of elderly people without anyone to accompany them, and the service content fails to fully combine the specific needs of users for intelligent push, and the service model is relatively single; the present invention collects the health status, activity trajectory and environmental data of users in real time through Internet of Things devices, builds a comprehensive perception system, dynamically adjusts and pushes personalized service content according to the user's health records, behavioral habits and actual needs, compares user behavior feature data with historical habits, effectively determines the degree of behavioral deviation, and generates early warning reports in time, which not only improves the real-time and accuracy of behavior monitoring, but also provides customized services according to the personalized needs of users, discovers abnormal behaviors in time, and ensures user safety.

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 utility model discloses an efficient resume sorting device which comprises a sorting box used for sorting resumes and a delivery groove formed in the top end of the sorting box, a cavity is formed in the sorting box, a rotating rod is movably arranged at the bottom in the sorting box, a supporting plate is fixedly arranged at the top end of the rotating rod, a classification box is arranged at the top end of the supporting plate, and the sorting box is arranged in the cavity. A cavity is formed in the classifying box, a partition plate is fixedly arranged in the classifying box, clamping blocks are fixedly arranged at the positions, close to the two sides, of the bottom of the classifying box, and a gear is arranged at the position, close to the middle, of a rotating rod in a sleeving mode. According to the efficient resume sorting device, by arranging a classification box, a driving motor, a supporting plate, a sorting box and a transparent glass window, when the device delivers resumes, job seekers can sort the resumes delivered by themselves in a self-service mode, the delivered resumes are stored in order, follow-up checking is facilitated, convenience is brought to users, the practicability of the device is improved, and the device is worthy of popularization and application. And the use requirements of users are met.

The invention relates to the technical field of natural language processing, and particularly provides a method and a device for intelligently allocating agents for events, based on a large government affair model, the method comprises the following steps: S1, constructing the large government affair model; s2, intelligent identification of events; s3, event classification; s4, making a rule; s5, intelligent Agent allocation is realized; s6, testing and optimizing; and S7, setting a feedback mechanism. Compared with the prior art, the problems of information processing lag, unreasonable resource allocation and the like in urban grassroots governance can be solved, modernization of urban governance is promoted, and a more efficient and more intelligent management and service mode is realized.

The invention discloses a traffic signal lamp time service time adjusting method, and relates to the field of intelligent traffic, and the method comprises the steps: signal lamp equipment obtains a satellite time service data packet and a central time service data packet in real time in the operation process, and the satellite time service data packet and the central time service data packet comprise time service time provided by various time service modes; respectively calculating the stability magnitude P of each time service mode; when a time service deviation exists between the time service time provided by the time service mode selected by the equipment and the timing time of the local machine, determining the maximum duration allowed to be adjusted per second in the time service mode according to the corresponding P value and the time service deviation duration; and the equipment adjusts the time service time according to the maximum duration allowed to be adjusted per second, and calculates the maximum duration allowed to be adjusted per second at the next time until the time service deviation is eliminated. When the intelligent signal lamp equipment uses wireless or bus communication, precision time service can be realized among the equipment, and risks caused by time asynchronization of the signal control equipment are reduced as much as possible.

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 technical field of information communication, in particular to a 5G base station intelligent dormancy and wake-up energy-saving method based on edge computing, which is applied to a competition base station and an arbitration base station in a distributed base station cluster. And the competition base station judges whether to participate in competition based on the service load, the channel quality and the energy consumption information, and broadcasts competition information to the distributed base station cluster. And after receiving the competition information, the arbitration base station searches the alternative base stations with similar historical service modes in the arbitration area of the arbitration base station, ranks the base stations according to idle loads, and decides whether to vote to support the corresponding competition base stations or not based on the sequence positions of the alternative base stations. And after each arbitration base station votes, summarizing the competition base station with the most votes as a service base station, and broadcasting the service base station to the base station cluster so as to adjust the operation state of the base station. Unnecessary wakeup and energy consumption of the base station are effectively reduced, the energy efficiency of the 5G network is improved, the service quality is ensured, and intelligent energy-saving optimization is realized.

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.

To provide a traffic guiding method and the like allowing a robot to provide other services according to a human flow state in addition to a traffic guide.SOLUTION: A traffic guiding method using a robot 20 acting in either acting modes of a traffic guiding mode for carrying out a traffic guide in relation to human flow and a service mode for carrying out action to provide services other than the traffic guide, comprises: an acquiring step S10 of acquiring human flow information; a determination step S30 of determining whether or not the human flow information satisfies a specific condition; and a control step S50 of controlling the robot 20 so as to act in the traffic guiding mode when the human flow information is determined to satisfy the specific condition, and controlling the robot 20 so as to act in a service mode when determining the human flow does not satisfy the specific condition in the determination step S30.SELECTED DRAWING: Figure 8

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 discloses a logging algorithm service method and system based on an open source framework. Belongs to the technical field of petroleum and natural gas exploration and development. Logging algorithm source codes are collected and installed in an entity server, and a logging algorithm micro server side and a logging algorithm service station are arranged; a logging algorithm micro-server and a logging algorithm service station are configured behind the containerization logging algorithm micro-server; logging in idle equipment through the user algorithm service platform to dispatch data resource index of the logging algorithm service station and display logging algorithm information; the logging algorithm service platform sends a calculation task request to the logging algorithm micro server according to the user ID and the algorithm ID; and the logging algorithm service platform receives the calculation task result to complete the task. The logging algorithm is transmitted to the server side in a service mode, the lowest computing power requirement of each deployment terminal can be effectively saved through the logging algorithm managed in a centralized mode, meanwhile, optimization of the working process of logging data interpretation is achieved, and the working efficiency is improved.

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 present invention discloses a multi - area transportation service mode matching method and system, specifically relating to the technical field of transportation services, which includes the following steps: Divide user identities into order - placing users and order - receiving users, and respectively obtain the order - placing requirement set of the target order - placing user and the service sets of all order - receiving users in a non - order - receiving state; First, perform hard - condition screening to retain the order - receiving users that meet the hard conditions, and then perform flexible - condition screening; If there are order - receiving users that meet all the flexible conditions, directly match; Otherwise, conduct portrait analysis using K - means clustering based on the historical records of the target order - placing user, and evaluate the matching failure rate; According to the failure - rate result, successively establish negotiation communication channels until a consistent match is achieved; The present invention can deeply understand the demand characteristics and behavior patterns of order - placing users, provide highly personalized matching services, improve the service quality of the platform, and further enhance user loyalty and satisfaction.

The present invention provides a system for secure authentication, real-time communication, and payment processing in networked gaming machines, including pinball and arcade systems. The system comprises a service provider server, a downloadable application for users and machine owners, and a gaming machine equipped with a display screen, internet connectivity, and unique identification. Secure communication between the gaming machine and the server is facilitated using cryptographic techniques, including HMAC-based message authentication and public / private key encryption. The system supports real-time gameplay data transmission, user interactions, and secure electronic payments via QR codes. Real-time interaction is enabled through WebSocket connections, allowing dynamic player actions, such as score tracking and multi-user engagement. Additionally, a retrofit kit is available for upgrading legacy machines to support secure payments and real-time communication. The system further includes features for service mode operations, tournament management, and social interactions, providing a modernized, fully connected gaming experience.

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.