64results about How to "Improve service efficiency" patented technology

The invention discloses a telecommunication system service authorization method, and relates to the technical field of optical communication, and the system comprises the following components: S100, a user behavior data acquisition and analysis module, S200, an AI learning engine, S300, a personalized authorization strategy generation module, S400, a dynamic adjustment and feedback mechanism, and S500, a safety guarantee mechanism. According to the method, the diversified behavior data of the user is collected and analyzed in real time, the accurate user behavior portrait is constructed, and the prediction capability of the AI learning engine is combined, so that the future service demand of the user can be intelligently predicted, and a personalized service authorization strategy is generated according to the future service demand; according to the method and the system, telecommunication services which better meet the actual requirements of users can be provided for the users, the user experience is improved, the accuracy of service authorization can be ensured, unnecessary resource waste is reduced, and the service efficiency of operators and the customer satisfaction are improved.

The invention discloses a method and device for generating a management decision, equipment and a storage medium, and the method comprises the steps: collecting related data of a property management system, and obtaining a long text data set; cleaning and preprocessing the long text data set by using an RAG technology to obtain preprocessed property management data; constructing a property manager agent; performing reasoning analysis on the property management data through the property manager agent to generate a management decision; wherein the property manager agent construction comprises the following steps: setting a task; calling a large language model to process the task; executing an instruction output by the large language model to obtain a historical processing result; wherein the instruction comprises an analysis instruction, a selection execution tool and an execution tool sequence; and storing the historical processing result by utilizing a cache processing mechanism. The property manager intelligent agent not only can improve the efficiency and quality of property management, but also can improve the life experience of residents.

The invention discloses a truck-unmanned aerial vehicle multi-target cooperative express delivery and pickup path planning method. The method comprises the following steps: acquiring related parameters and a constraint condition set of a vehicle-aircraft cooperative logistics service; constructing a target function set representing the path cost minimization of all client points of the vehicle-machine collaborative logistics service based on the related parameters; performing joint solution on the target function set and the constraint condition set in combination with a heuristic algorithm to obtain an optimal express delivery and pickup path scheme of the vehicle-machine collaborative logistics service; and based on the optimal express delivery and pickup path scheme, the unmanned aerial vehicle and the truck are controlled to realize delivery and pickup of the express delivery of the client. According to the method, the truck executes the express pickup task, and the unmanned aerial vehicle only executes the express delivery task on the premise of meeting the load and voyage constraints, so that the performability is increased; through subarea division and loading of the multiple unmanned aerial vehicles by the truck, each unmanned aerial vehicle only takes off once in each subarea, and delivery service can be provided for multiple client points, so that the service efficiency of the client points is greatly improved, and the total driving cost of the truck and the unmanned aerial vehicles is optimal through reasonable path planning.

The invention belongs to the technical field of shared charging, and particularly relates to a charging robot layout method based on environmental perception, which comprises the following steps of: acquiring crowd distribution information in a region by introducing an infrared sensing module, planning an advancing path of a robot in combination with information of a position module, and identifying an optimal staying position by using an image acquisition module; and the robot can intelligently avoid the crowded area and select the most suitable place to provide service. And meanwhile, the electric quantity state of the robot is continuously monitored, the recharging process is automatically started when the electric quantity is lower than a preset threshold value, and seamless switching between the robot about to run out of power and the standby robot is achieved in combination with dispatching of the central control system. The method not only improves service efficiency and user experience, but also effectively avoids service interruption caused by insufficient power of a single robot, and ensures continuity and stability of service.

The invention discloses a beauty health information management system. According to the technical scheme, the beauty health information management system mainly comprises a user information management module, a data acquisition module, a health assessment module, a personalized scheme recommendation module, a reservation and service management module and a data security and privacy protection module. The user information management module comprises the following steps: S1, user file management: storing basic information of a user, and storing and recording dynamic health information of the user, such as a skin type, a body fat rate, blood pressure and an allergy history; s1.1, data input and update: supporting manual input and automatic synchronization of health data by an intelligent device, receiving data uploaded by a user or the device through a form or an API interface, and updating a database; and S1.2, querying and screening: quickly retrieving user information and historical data, supporting screening according to time and categories, and realizing a multi-condition screening function through SQL query.

The invention relates to an intelligent customer service method, and aims to provide personalized and accurate customer service reply through advanced technical means. The method comprises the following steps: firstly, acquiring and analyzing a query request of a user regardless of the form of text, voice or image; thirdly, intention recognition is conducted through a preset response model, a user portrait is generated in combination with historical interaction data of the user, and customer service requirements are predicted according to the user portrait. And by correcting the prediction intention data and considering the user preference, an accurate customer service reply is generated. In addition, the system also collects subsequent behavior data of the user, constructs a service scoring data set, and continuously optimizes the service model by using a machine self-learning algorithm. According to the method, the user satisfaction can be effectively improved, the click rate and the conversion rate are increased, the response time is shortened, the problem solving rate is improved, and continuous service optimization and performance improvement are realized.

The invention discloses a cloud communication abnormity diagnosis method, system and device and a storage medium, belongs to the technical field of communication abnormity diagnosis, and solves the technical problem of low efficiency of manual cloud communication abnormity diagnosis. The method comprises the following steps: analyzing and preprocessing an abnormal case, and performing feature extraction and data cleaning after preprocessing to obtain a cleaned case; performing feature clustering on the cleaning cases in the same batch; similar TopN cases are retrieved in a vector knowledge base according to the cases obtained through feature clustering, and if the similar TopN cases are matched, the name, description, classification, root cause and solution content of the similar cases are returned; if the retrieval is not successful, performing root cause reasoning and problem classification recommendation by using a large language model, and finally returning an abnormal case root cause diagnosis result; displaying the processing result of the abnormal case to the user at the front end; and obtaining feedback of the user, and if the feedback is that the current problem can be effectively solved, adding / refreshing the case to the vector knowledge base in real time.

The embodiment of the invention discloses an in-vehicle machine diagnosis method based on multi-channel communication, the method is applied to an in-vehicle machine diagnosis system, and the method specifically comprises the following steps: acquiring networking information of an in-vehicle machine diagnosis instrument, and judging whether each diagnosis module in the in-vehicle machine diagnosis instrument is in a network available state according to the networking information; a diagnosis module in a network available state is selected to be added into a to-be-started sequence, and the vehicle diagnostic apparatus performs to-be-diagnosed agenda arrangement in the to-be-started sequence; acquiring vehicle-mounted machine diagnosis information of each diagnosis module, and judging whether the vehicle-mounted machine diagnosis instrument is in a diagnosis function operation state or not according to the vehicle-mounted machine diagnosis information; a diagnosis module in a diagnosis function operation state is selected to be added into a diagnosis program arrangement column, and the diagnosis module performs diagnosis agenda arrangement in the diagnosis program arrangement column; and sending an in-vehicle diagnostic repair instruction to the in-vehicle matched with the in-vehicle diagnostic apparatus. According to the method provided by the embodiment of the invention, two independent wireless communication channels are configured, so that the system has communication redundancy capability, and the communication stability and reliability in the diagnosis process are remarkably improved.

According to the distributed identity management system and method based on the block chain, the identity information of the user is stored on the distributed nodes by using the characteristics of the block chain, and the security of the information is protected by using an encryption algorithm. Each user has a unique identity label, and the identity label is written into a block of the block chain and is managed and verified through an intelligent contract. The user can control the access and management of the identity information of the user through the private key without depending on a centralized identity authentication mechanism. In addition, the VC template providing the VC service is subjected to uplink processing, and the consistency and compliance of the VC certificate are ensured from the source. According to the invention, the problem of verification information forgery of the distributed identity management system can be solved, and the security and credibility of identity verification are improved.

The embodiment of the invention provides an intelligent auxiliary method, electronic equipment, a readable storage medium and a program product. The intelligent assistance method comprises the steps that according to session information of a first user, a domain generative model corresponding to the session information is determined, user information of a second user is obtained, and the user information of the second user at least comprises attribute information and / or historical session information; on the basis of the session information of the first user and the user information of the second user, generating prompt information and inputting the prompt information into a field generation type model so as to obtain corresponding generation information through the field generation type model; and performing semantic analysis on the generated information, and generating structured data responding to the session information of the first user according to a semantic analysis result. By determining and using the domain generative model corresponding to the session information of the first user, the domain generative model is a pre-trained model, so that the accuracy of model processing can be improved, the processing time of the model can be shortened, and the service efficiency in scenes such as customer service can be improved.

The invention, which relates to the technical field of electric power informatization, discloses an important information supplementing and updating system applied to an electricity customer, comprising an intelligent sensing module, a self-adaptive updating module, an information fusion and mining module and a security interaction module. The intelligent sensing module is used for connecting a sensor with an intelligent electric meter and a network monitoring system through the Internet of Things technology, collecting environment and power utilization parameters in real time, analyzing a power utilization behavior mode, providing data support for judging customer information change, and realizing comprehensive sensing of customer power utilization conditions and environmental influences; according to the invention, the Internet of Things technology is utilized to cooperatively work with the sensor, the intelligent electric meter and the network monitoring system, environment and power utilization parameters are collected in real time, the influence of environmental factors on the load of the power utilization equipment can be accurately analyzed through a power utilization equipment load change estimation formula, and a basis is provided for power distribution in advance; and power supply imbalance caused by information lag is avoided.

The invention relates to the cross technical field of a computer information technology and a college management information system, and provides a college institution service intelligent response system fusing self-service questions and answers and task work orders. The system comprises a user interaction module, a self-service question and answer engine, a work order generation and distribution module, a background processing and feedback module and a service statistics and optimization module. According to the invention, an advanced natural language processing technology, knowledge graph construction and intelligent work order management are fused, so that a college institution service intelligent response system integrating self-service question answering and task work orders is constructed. The system not only realizes seamless access and efficient intelligent interaction of multiple channels and multiple terminals, but also ensures that various problems are timely and accurately processed through automatic classification, responsibility distribution and closed-loop management.

The application is suitable for the field of financial technology, and particularly relates to a dialogue model training method and device based on artificial intelligence, equipment and medium. The application splices the initial question text, the initial answer text and the preset category prompt word into a first sample, obtains an augmented question text, an augmented answer text and an augmented answer keyword by back translation, and splices the augmented question text, the augmented answer text and the augmented answer keyword to obtain a second sample, thereby expanding the text data amount and solving the problem that the question text and the answer text in the splicing result are prone to confusion; a first question and answer category of the initial answer keyword is obtained and spliced into a label of the first sample, a second question and answer category of the augmented answer keyword is obtained and spliced into a label of the second sample, the reply performance of the dialogue model on different category questions is improved by adding the question and answer category information in the label; and the accuracy of the dialogue model is improved through training, the dialogue accuracy of the customer service robot and the service efficiency and quality of the financial business are improved in the field of financial technology.

The application discloses a kind of based on customer portrait's electric power retail package push method and system, it is related to electric power market technical field.The method includes: constructing the customer peak clipping and valley filling portrait model based on DDPM, the historical load of customer is mined, the peak clipping and valley filling characteristics of customer are extracted, and peak clipping and valley filling time difference model and peak clipping and valley filling electric quantity difference model are constructed in combination with grid peak value characteristics, valley value characteristics, according to the height of peak clipping and valley filling time difference and the height of peak clipping and valley filling electric quantity difference, four kinds of electric power retail package are formulated respectively;Construct the electric power retail package judgment model based on GPT, judge the peak clipping and valley filling time difference and peak clipping and valley filling electric quantity difference of customer, according to the judgment result of GPT selects to push one of package one to package four to customer.The application can realize according to the peak clipping and valley filling characteristics of customer, and the appropriate electric power retail package is customized and pushed to user, improves the accuracy of push, improves the enthusiasm of user participation electric power package activity.

The application provides a computing power service operation management method, device, storage medium and program product, and is applied to a computing power service operation management method of a user terminal, which comprises the following steps: performing security verification on to-be-processed data, and feeding back a security verification result to a blockchain trusted operation platform, so that the blockchain trusted operation platform verifies the security verification result, and feeds back a verification result to a computing network operation platform; performing encryption processing on the to-be-processed data based on the blockchain, and sending the to-be-processed data after the encryption processing to a target computing power resource node through a network channel; wherein the network channel is opened by the computing network operation platform based on the verification result; and receiving a computing power service result fed back by the target computing power resource node based on the to-be-processed data. Through the opened network channel, the to-be-processed data is directly sent to the target computing power resource node, so that redundant forwarding of the to-be-processed data between various operation platforms is avoided.

This invention discloses a method and apparatus for processing information in a multi-level role-based queuing system. The method includes: acquiring historical queuing information of users; the historical queuing information includes user history information and actual waiting time information; the historical queuing information includes user level information, queuing type information, and queuing content information; the user level information is set to a first priority, a second priority, or a third priority; performing time modeling processing on the historical queuing information to obtain a user waiting time prediction model; acquiring user queuing information and user queue information; the user queuing information includes user level information, queuing type information, and queuing content information; the user queue information records the queue number of each queued user; processing the user queuing information using the user waiting time prediction model to obtain a predicted user waiting time value; and performing queuing processing on the user queuing information, user queue information, and predicted user waiting time value to obtain user sorting information.

The invention provides a semantic intention recognition method and device fusing context information, a medium and equipment, and the method comprises the steps: obtaining a text input by a user, and carrying out the extraction and integration of the context information of each vocabulary and sentence in the text input by the user, so as to construct a context model; according to the context model, obtaining an incidence relation between vocabularies in the text input by the user, a logic relation between sentences and an overall text theme and focus; and obtaining a semantic intention recognition model, recognizing the semantic intention of the text input by the user according to the association relationship between the semantic intention recognition model and the vocabularies, the logic relationship between the sentences and the theme and focus of the text input by the user, and outputting a semantic intention recognition result. Through semantic intention recognition fused with context information, the system can more intelligently understand instructions and requirements of users, so that more personalized services and support are provided.

The invention relates to the technical field of voice services, in particular to a multi-language natural voice interaction method and system for a coffee robot, and the method comprises the steps: collecting a voice signal of a user, carrying out the recognition of the language type of the voice signal, obtaining the type information of the voice signal, activating a corresponding language recognition model according to the type information, and carrying out the recognition of the type information; performing semantic analysis processing on the voice signal, generating language text information corresponding to the voice signal, performing coffee customization demand analysis on a user based on the language text information to obtain coffee customization information of the user, initiating a voice interaction behavior to the user according to the coffee customization information to obtain an interaction feedback instruction of the user, and sending the interaction feedback instruction to the user. And a corresponding coffee beverage is produced according to the interaction feedback instruction and the coffee customization information.

The invention discloses a network service method and device based on business prediction and a storage medium. The method relates to the field of artificial intelligence, and comprises the following steps: when detecting that a target customer enters a financial institution website or after detecting that the target customer enters the financial institution website, identifying facial features of the target customer through a face identification technology under the condition of obtaining authorization of the target customer; obtaining customer information of the target customer according to the facial features; inputting the customer information into the target model, and outputting a predicted to-be-handled service of the target customer through the target model; according to the predicted working state information of the to-be-handled business and the network business channel, a preparation business channel is configured for the target client; and providing services for the target customer according to the predicted to-be-handled business and the prepared business channel. Through the method and the device, the problem of low service efficiency of the network since the network cannot configure a business channel in advance before the user handles the business in the prior art is solved.

The present disclosure provides a pre-order allocation method and device, and relates to the technical field of Internet application. A specific embodiment of the method comprises the following steps: determining a journey starting point and a journey starting time corresponding to a pre-order to be allocated; determining a target time for allocating the pre-order according to the journey starting point and the journey starting time; and allocating the pre-order in response to the arrival of the target time. This embodiment can allocate the pre-order at a more reasonable time, avoiding the problem that the service provider waits for a long time after receiving the order or does not successfully match the service provider until the order journey starting time, thereby improving the service efficiency and the utilization rate of service resources.

This application relates to an intent recognition method, computer device, computer-readable storage medium, and computer program product, which can be used in the field of computer technology. The method includes: when a user requests online customer service, obtaining the user's waybill status information, attribute information, and behavior logs; constructing the user's current features based on the waybill status information, attribute information, and behavior logs; selecting target historical features matching the current features from a historical feature database; inputting a preset reasoning case, target historical intent information corresponding to the target historical features, and the current features into an intent recognition model for intent recognition, obtaining the user's intent recognition result; the intent recognition result includes the predicted result of the user's inquiry question. This method can improve the efficiency of intent recognition.

This disclosure provides a method, apparatus, device, medium, and product for workstation allocation in vehicle services. It relates to the field of vehicle service technology. The method includes: in response to a trigger operation of a confirmation control on a vehicle reception service interface, obtaining the selected vehicle service items for the vehicle to be serviced; obtaining the estimated service duration of the selected vehicle service items based on the selected vehicle service items; determining recommended workstation information for the selected vehicle service items based on the estimated service duration and the current status information of each workstation, and redirecting from the vehicle reception service interface to a workstation scheduling result interface; and displaying the recommended workstation information and the reasons for the recommendation on the workstation scheduling result interface.

The invention discloses a dining seat arrangement method and device based on an online reception system, and relates to the technical field of computer processing. The method comprises the following steps: when a dining and seat arrangement request initiated by an applicant online reception system is obtained, the system sequentially presents a dining information filling page and a seat map generation page to the applicant according to a preset page presentation mode; in the dining information filling page, obtaining dining information input by the applicant; in the seat map generation page, determining dining table information according to the dining information, obtaining diners input by the applicant, determining seats of the diners based on the dining table information and a preset sorting rule, and sending the seats to the applicant; and generating a visual picture containing the dining information, the dining table information, the diner and the seat of the diner, and determining the visual picture as a dining seat map. According to the scheme, the labor cost is reduced, errors are reduced, and the reception process is optimized.

The invention provides an intelligent business consultation method and device for a mobile bank, and relates to the technical field of data processing, and the method comprises the steps: receiving consultation request release, obtaining a response instruction, carrying out priority analysis, semantic recognition and sensitivity analysis, then carrying out consultation reply analysis, encrypting a reply result, and sending the reply result to a user. The method can solve the problems that mass data is difficult to process efficiently in the prior art, variable requirements cannot be met flexibly due to rigid priority setting, reply content is deviated or inaccurate due to insufficient understanding accuracy of semantic intentions of users, a necessary protection mechanism is lacked to ensure data security when sensitive information is processed, and the user experience is poor. By comprehensively optimizing concurrent processing, user priority, semantic understanding, sensitive information protection and data transmission security, the efficiency, security and user experience of mobile bank services are remarkably improved.

The application discloses an information association method, an electronic device and a computer readable storage medium. The method comprises the following steps: determining a target human body in a to-be-processed image, the to-be-processed image being an image collected by a target number taking machine at a target time; determining whether the target human body implements a number taking behavior on the target number taking machine based on the action of the target human body; and in response to the target human body implementing the number taking behavior on the target number taking machine, associating the target human body with number taking information generated by the target number taking machine within an association time period at the target time. Through the above method, the human body (number taking personnel) corresponding to the number taking information can be determined, the management of the number taking personnel in the subsequent queuing process is facilitated, and the service quality and efficiency for a single number taking personnel are improved.

The present invention relates to the field of intelligent voice interaction technology, specifically to an intelligent voice interaction system and an electronic student ID card, wherein the system includes a voice input processing module, a semantic decomposition module, a task allocation module, a logic execution module, a dynamic response module, and a voice interaction adjustment module. In the present invention, by analyzing the frequency domain and time domain features of the voice signal, the voice details are accurately captured, the recognition accuracy is improved, the semantic content is parsed and reorganized word by word, the accurate extraction and task description of complex semantics are supported, the resource consumption and dependency relationship analysis optimize the task sequence, the system efficiency and adaptability are improved, the task execution is combined with data retrieval and content classification, and the key tasks and related tasks are coordinated. Dynamic feedback marks unfinished tasks and assembles supplementary information to enhance the dialogue coherence and natural response. The voice interaction adjustment module analyzes unfinished instructions and repeated calls to improve the adaptability to demand changes and service efficiency.

This application discloses an adaptive energy-saving operation control system and method for escalators that detects passenger flow, relating to the field of intelligent control technology. It solves the technical problem in existing technologies where the threshold is generally set to a fixed value when comparing passenger flow with a threshold. This can lead to congestion and potentially stampedes during peak periods like holidays. This application utilizes data sensors to collect real-time passenger flow data entering the escalator area; it controls the escalator's start and stop based on the real-time passenger flow; it adjusts the escalator's operating speed based on the real-time passenger flow; it predicts passenger flow based on historical data; and it determines the escalator's maintenance and inspection time based on the prediction results. This system not only controls start and stop but also adjusts the operating speed based on real-time passenger flow. Appropriate speed reduction can bring exponential energy savings, directly reducing electricity costs and extending equipment lifespan.

The invention discloses a client interaction data analysis method and device, equipment and a medium. By automatically extracting semantic features and emotional features in customer interaction data, accurately analyzing customer appeals and emotional states, intelligently associating a target business entity with historical cases in combination with a preset domain business knowledge base, and generating associated features with business interpretability, risk analysis is deeply rooted to a professional knowledge system. And performing comprehensive intelligent research and judgment by fusing the multi-dimensional features, and automatically outputting a structured decision result containing a risk type, a risk level and a processing priority. Traditional low-efficiency and lagged risk research and judgment depending on manpower are converted into a real-time and accurate intelligent decision-making process. According to the invention, intelligent discovery and early warning of service risks are realized, and service personnel are assisted to make efficient responses according to clear priorities, so that the service efficiency and the service quality of online customer services are comprehensively improved, and the customer satisfaction is effectively improved.

The embodiment of the invention provides a service method and device, equipment, a storage medium and a program product, and relates to the field of big data. The method comprises the steps of obtaining a query text of a user and determining a corresponding first query vector; corresponding query result information is determined in a multi-modal database according to the first query vector, the multi-modal database comprises a vector database constructed according to vectors corresponding to the unstructured data and a knowledge fragment library constructed according to the structured data, and the query result information comprises result vectors and result knowledge fragments; according to the query result information and historical query information, corresponding first reply information is generated through a natural language generation model, and the historical query information comprises a query text. According to the method, the capability of processing complex interaction is improved.

The invention belongs to the technical field of multi-village government affair service optimization methods, and particularly relates to an internet-based multi-village government affair service optimization method and system, which adopts a mode of combining satellite images, unmanned aerial vehicle surveying and mapping and mobile terminal off-line acquisition APP, grabs land boundary and terrain space data, acquires population household registration and contract business data, and provides a multi-village government affair service optimization method and system. Historical paper archives are identified through OCR batch scanning, and information is extracted and input into an information management system; the method comprises the following steps: constructing an AI and RAG intelligent cleaning model, filling data missing values by applying a generative adversarial network, recognizing population repeated registration and land area conflict abnormal data through a local abnormal factor algorithm, training an entity recognition model by relying on a rural government affair vertical RAG library, and automatically labeling data attributes and association relationships.