344 results about "Service mode" patented technology

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 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.

A non-transitory computer readable medium (107, 127) stores instructions readable and executable by at least one electronic processor (101, 113) to provide an operating mode for a medical device (120) to provide medical diagnostic and / or medical treatment functionality; instructions readable and executable by the at least one electronic processor to provide a service mode for the medical device that provides service functions for servicing the medical device; and instructions readable and executable by the at least one electronic processor to: perform a validation process at an end of a servicing session of the medical device performed using the service mode to determine whether the medical device is in an incorrect operating state; and display, on a display device (105) operable by a service engineer and in response to determining the medical device is in the incorrect operating state, an indication that the medical device is in the incorrect operating state.

The invention belongs to the technical field of authority management, and discloses a human resource authority management method and system. The method comprises the following steps: in a cloud data center, constructing a behavior pattern baseline model, a user portrait generation model and a dynamic permission adjustment model; using a data acquisition device to acquire a real-time service mode and real-time behavior data of the user, and uploading the real-time service mode and the real-time behavior data to a cloud data center; extracting real-time behavior data characteristics of the real-time behavior data, and performing abnormal behavior analysis on the real-time behavior data characteristics by using a behavior mode baseline model according to a real-time service mode; and generating a real-time user portrait by using a user portrait generation model according to the real-time behavior data characteristics, and generating real-time human resource permission data by using a permission dynamic adjustment model according to the real-time user portrait. According to the invention, the problems of low practicability, large labor cost investment, low efficiency and low intelligent degree in the prior art are solved.

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.

The invention discloses mixed analysis middleware based on a cross-type database and a query method. The mixed analysis middleware comprises a data source management module, a non-relational database object mapping module, a multi-tenant authorization management module, a context-independent grammar construction prediction analysis table, an expansion BNF elimination left recursion module and a distributed transaction control module. Through the middleware, the requirement that an application system needs to use data in a cross-database mode in the petroleum industry is met. Cross-database query of relational and non-relational databases is realized, database access and service modes are unified, large application systems and platforms containing various types of data storage products are supported, the development efficiency of the application systems is greatly improved, and the learning threshold of research and development personnel is reduced. Meanwhile, through the provided multi-tenant and authorization management, monitoring and review of data row-level security can be realized, sensitive data are effectively protected, and data leakage is prevented.

The invention provides a service mode recommendation method and device for intelligent driving, electronic equipment, a computer readable storage medium and a computer program product. The method comprises: determining a user type of a driver of a target vehicle; obtaining a user state of a driver of the target vehicle in a current driving process and travel information of the target vehicle in the current driving process; performing prediction processing on the user type of the driver of the target vehicle, the user state of the driver of the target vehicle in the current driving process and the travel information of the target vehicle in the current driving process through a service mode prediction model to obtain an optimal service mode of intelligent driving; and applying the optimal service mode in the intelligent driving process of the target vehicle. Through the method and the device, personification requirements of different drivers under different conditions can be met, namely, the intelligent driving effect can be improved.

The invention relates to the technical field of communication, and discloses a voice scheduling unified platform construction method and system based on SDH / PTN, and the method comprises the steps: deploying a soft switching platform and a server, configuring a soft switching data network based on an SDH / PTN transmission system, configuring an IP interface gateway on an existing stored program control exchange, and enabling the IP interface gateway to be in butt joint with the soft switching platform, thereby achieving voice intercommunication; the method comprises the following steps of: accessing a scheduling soft switching system in an IP (Internet Protocol) mode, running a scheduling service on a dual-mode scheduling desk in dual networks, and arranging an IP phone or an IAD (Inter-Access Device) analog access gateway and an analog phone at a corresponding site; through an NTP time service mode, time unification of all devices in program-controlled switching and soft switching is realized. A soft switch platform is interconnected with an emergency satellite communication network, an IP telephone is deployed through a satellite data network, the soft switch platform is intercommunicated with other telephones and a public network PSTN, and conference and video call functions based on the satellite network are realized. According to the method, the overall performance of the voice scheduling exchange system is improved, and a safer, more stable, more efficient and more flexible communication environment is provided for users.

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 provides a passive Internet of Things charging method and system, network equipment and a storage medium, and relates to the technical field of wireless communication. The passive Internet of Things charging method comprises the steps that an NEF module receives a passive Internet of Things service request which is sent by an application function AF module and matched with a service mode, and the service request comprises a subscription list of the AF module for Ambient UE; the NEF module initiates a service request to a passive Internet of Things function AIF module, the AIF module reports a service mode to a PCF module, the PCF module sends a charging strategy corresponding to the service mode to a CHF module, the AIF module reports terminal data of Ambient UE collected based on a subscription list to the CHF module, and the CHF module charges the terminal data based on the charging strategy; and the NEF module receives the charging result reported by the CHF module and reports the charging result to the corresponding AF module. Through the technical scheme of the invention, the function of charging the passive Internet of Things terminal when the AF module provides the passive Internet of Things service is realized.

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 system and method for intelligently guiding a patient to see a doctor, and the system comprises a doctor-seeing guiding module which is used for setting a to-do panel to display all to-do items, actively guiding the doctor-seeing process in a task-driven manner, and triggering the information prompt of the next link in each doctor-seeing link; the path planning module is used for acquiring the basic condition of each inspection item, and performing comprehensive calculation on the basic condition of each inspection item by taking the shortest total time as a principle to obtain an optimal path plan; and the quick handling module is used for setting a quick handling entrance link in the to-be-handled panel and the information prompt, and realizing quick sign-in, quick payment, medical technology reservation, one-key navigation and report query by clicking the link. The service mode is changed, the mode that all resources and functions passively wait for the patient to use is changed into the mode that services are continuously and actively provided in the whole process, the use difficulty of the patient is reduced, and the value of hospital informatization construction is fully exerted and embodied.

The invention relates to the technical field of electric power retail, in particular to an electric power retail transaction information processing method and system based on a block chain, and the method comprises the steps: building a distributed block chain network, enabling nodes to comprise an electric power supplier, a retailer, a consumer and a possible supervision mechanism, deploying an automatic execution smart contract on the block chain, and the transaction module is used for defining transaction rules and conditions, acquiring transaction information, extracting core data in the transaction information and storing the core data in the regional chain through the smart contract. According to the invention, by using the characteristics of decentralization and high security of the block chain and combining the smart contract, the efficiency and security of the power transaction process are improved, the problem that the existing service mode and product cannot fully meet the specific requirements of different users is solved, and the user experience is improved. And insufficient service efficiency and customer experience of electricity selling enterprises cause reduction of user satisfaction and influence on healthy development of the electricity retail market.

The invention provides a knowledge base intelligent question answering and management system based on a retrieval enhancement generation technology, belongs to the technical field of information retrieval, adopts a mixed cloud service mode, combines the advantages of private cloud and public cloud, and provides flexible deployment options. The system architecture is divided into three layers: a model layer, a capability layer and an application layer. Through the functions, the system aims to improve the efficiency and accuracy of information retrieval, accelerate the document processing speed and improve the writing efficiency, and is suitable for the fields of government affairs, commerce, academic, content creation and the like.

The invention discloses a multi-region transportation service mode matching method and system, and particularly relates to the technical field of transportation services, and the method comprises the following steps: dividing user identities into order-sending users and order-receiving users, and respectively obtaining an order-sending requirement set of a target order-sending user and a service set of all order-receiving users in a non-order-receiving state; hard condition screening is firstly carried out, order receiving users meeting hard conditions are reserved, and then elastic condition screening is carried out; if the order receiving users meeting all the elastic conditions exist, direct matching is carried out; otherwise, carrying out portrait analysis by using K-means clustering based on the historical record of the target order issuing user, and evaluating a matching failure rate; according to a failure rate result, negotiation communication channels are successively established until consistent matching is achieved; the method can deeply understand the demand characteristics and behavior patterns of the order issuing user, provides highly personalized matching services, improves the service quality of the platform, and further enhances the loyalty and satisfaction of the user.

The invention provides a vehicle cloud control architecture, a method for using a cloud control application and electronic equipment. The vehicle cloud control architecture comprises a cloud control basic platform and a cloud control application platform, the cloud control basic platform is used for receiving cloud control vehicle data and a cloud control application service request message sent by the vehicle, sending the cloud control vehicle data and the cloud control application service request message to the cloud control application platform, and sending decision data to the vehicle after receiving the decision data returned by the cloud control application platform; the cloud control application platform is used for obtaining cloud control vehicle data of the vehicle from the cloud control basic platform after receiving the cloud control application service request message, and distributing the cloud control vehicle data to the cloud control application corresponding to the cloud control application service request message according to the cloud control application service request message; and the cloud control application calculates and generates decision data according to the cloud control vehicle data and sends the decision data to the cloud control basic platform. By decoupling the cloud control application and the cloud control basic platform, the limitation that the cloud control application can be verified and applied only when the cloud control application is deployed on the cloud control basic platform in the current service mode is solved.

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.