49results about How to "Accurate service" patented technology

According to the home assistant system based on the large language model agent, a voice interaction module receives voice input of a user and converts the voice input into a text, multi-language recognition and voice synthesis are achieved through natural language processing, and natural and smooth two-way voice interaction is supported. The WeChat interaction module receives and processes text or voice information sent by a user through WeChat, and remote instruction input and information feedback are achieved. The core of the system is a plurality of functional Agent modules. The task analysis Agent analyzes semantics input by a user based on a large language model and dispatches a corresponding functional Agent to execute tasks, and the functions of information query, smart home control, information transmission, mobile navigation, monitoring and the like are covered. Personalized learning and optimization can be carried out according to a user-defined information base, use habits and historical records, the task execution precision and efficiency are improved, and the method is suitable for multi-scene application in the field of smart home.

The invention discloses a user-defined multi-dimensional analysis configuration method, system and equipment based on a constellation model and a medium, belongs to the technical field of data analysis, and aims to solve the technical problem that basic data such as dimensions, indexes and data models in multi-dimensional analysis are complicated to construct. According to the technical scheme, according to the method, the dimensionality, the index and the incidence relation between the fact table and the dimensionality table configured by the model table are imported, the mapping between the dimensionality tables is automatically imported into the correlation table, the attribute and the model relation, the model maintenance cost is reduced, and the model maintenance time is shortened; ordered model construction is realized through dimensions, indexes, fact tables, dimension tables, data models and self-defined multi-dimensional query, multi-fact-table dimensions screen application configuration scenes of reverse mapping of property of the fact tables, required indexes are flexibly selected from the fact tables through dragging operation, and according to a cascade mode of the indexes and the dimensions, the application configuration scenes of reverse mapping of property of the property of the fact tables are selected to be matched with the property of the property of the property of the property of the property of the property of the property of the property of the property of the property of the property of the property. And automatically screening out the generality dimension for display.

The invention discloses a cultural heritage digital display platform, which is mainly applied to the fields of museums, cultural heritage protection institutions, education institutions and the like, and specifically comprises a central control module, and a user interaction module, a multimedia display module, a virtual reality rendering module, a database management module and an intelligent recommendation module which are connected with the central control module. The cultural heritage digital display platform has remarkable beneficial effects in the aspects of improving cultural heritage protection and inheritance efficiency, enhancing user experience and interactivity, realizing personalized recommendation and accurate service, promoting cultural education and propagation, optimizing data management and analysis capability and the like, and is beneficial to protection and inheritance of the cultural heritage; and the cultural literacy and aesthetic level of the public can be improved, and a positive contribution is made to the development of cultural heritage.

The invention discloses a man-machine interaction intelligent accompanying system and device based on a large model. The man-machine interaction intelligent accompanying system comprises the following steps: S1, identifying a user identity and initializing user preference and historical data; s2, receiving text and voice input of a user, and performing deep language understanding by using the large model; s3, performing fusion processing on the voice, the text and the visual data; s4, analyzing user behavior data and environment information by using a generative adversarial network and a sparse adaptive evolutionary algorithm; s6, providing a real-time navigation service in combination with a geographic information system, and dynamically adjusting a path through a quantum heuristic optimization algorithm; s7, collecting user interaction data and feedback information, and dynamically optimizing system parameters and balancing exploration and utilization by adopting a self-adaptive multi-arm machine algorithm; and S8, adopting a differential privacy technology in all data processing processes to ensure the security and privacy of user data.

The invention discloses a television interaction method and system based on application scene large model intelligent decision, and the method comprises the steps: receiving an interaction instruction inputted by a user through a smart television, and carrying out the intention recognition reasoning of the interaction instruction, and obtaining an intention set; performing intention classification on the intention set to obtain an intention label corresponding to each intention in the intention set; based on the intention label, identifying a current application scene through AI large model service, and performing intelligent decision according to the intention label and the current application scene to obtain an application scene large model intelligent decision instruction set; and issuing an instruction of the application scene large-scale model intelligent decision instruction set to a corresponding television system or application, and controlling the television system or application to respond to the instruction. According to the invention, user real intention reasoning based on the application scene is realized, and more accurate AI large model service is provided for the user by fusing the system capability and the application capability of the smart television through the association relationship between the user interaction instruction and the application scene.

The invention provides a marketing information identification method and device based on vehicle positioning, equipment and a medium, and relates to the technical field of financial science and technology. According to the method, the parking characteristics and the parking information of the vehicle can be accurately obtained by obtaining the vehicle positioning data. By analyzing the vehicle parking characteristics, the vehicle parking information is identified, so that high-frequency parking points in the use process of the vehicle can be identified, and potential collecting and distributing places can be identified. A clustering algorithm is used to analyze the vehicle parking information, and the target distribution place with concentrated vehicle rental demands can be effectively identified. By identifying the target marketing object in the preset radiation range of the target distribution place, the potential customer group can be more accurately positioned, so that the identification accuracy and the identification efficiency of the marketing information are improved, the customer obtaining cost is reduced, more accurate market positioning and customer service are provided, the pertinence and the effectiveness of the marketing activity are enhanced, and the marketing efficiency is improved. And the marketing efficiency and the conversion rate are improved.

The invention discloses a robot control method based on multi-behavior fusion intelligent perception, and the method comprises the following steps: A, respectively constructing a facial expression intelligent recognition model, a body movement intelligent recognition model and a voice recognition control protocol set, and respectively establishing control instruction mapping rules; b, tracking and acquiring a facial expression image, a limb action image and a voice audio of a service object in real time; c, outputting a facial expression prediction result, a body language of the state and a voice instruction of the service object; d, robot action control instructions based on facial expressions, limb actions and voice instructions are obtained and fused, and a robot action control instruction after multi-behavior fusion is obtained; and E, controlling the robot to execute a corresponding action according to the robot action control instruction after multi-behavior fusion. According to the method, the cognitive ability and the context awareness ability of the robot can be effectively improved.

The invention discloses a logistics data visualization interaction method based on a large model, and belongs to the technical field of data interaction. Comprising a voice input module, a voice recognition module, a semantic understanding and intention recognition module, a secondary intention matching function module, a data query and processing module, a visual display module, a voice feedback module and an interaction and optimization module. Compared with the traditional intention label matching technology, the intention label matching method has the advantages of high accuracy, high robustness, wide application range, low cost and high processing speed in the aspects of learning capability, universality, automation and parallel computing capability.

The invention relates to the technical field of intelligent voice interaction, discloses an intelligent voice interaction method and system for an osteoporosis therapeutic instrument, and aims to improve the convenience of equipment and the user experience. According to the method, user voice interaction data is acquired, a user intention is identified by using an intention identification model, and a therapeutic apparatus response strategy is generated based on a dialogue management model constructed by a deep reinforcement learning A3C algorithm. The system converts the response strategy into voice output, and provides efficient and intelligent interaction experience for the user. The dialogue management model is trained by adopting a dialogue data set containing multiple rounds of dialogue scenes, so that the intention of the user is accurately understood and proper response is given. Through intelligent voice interaction, the user can easily know information such as the treatment principle, the operation process and the treatment effect, and the usability of the equipment and the user satisfaction degree are remarkably improved. According to the invention, the operation process of the osteoporosis therapeutic instrument is simplified, and the intelligent level of voice interaction is improved through the deep reinforcement learning technology.

The invention relates to the technical field of acute respiratory infection prediction, in particular to a model training method and system for acute respiratory infection prediction and a medium. The method comprises the following steps: carrying out original data collection and time window division on a target patient to obtain time window data; performing biological rhythm feature extraction according to the time window data to obtain biological rhythm feature data; performing window feature screening on the biological rhythm feature data to obtain important biological rhythm time window feature data; performing time sequence arrangement on the important biological rhythm time window feature data to obtain patient multi-scale time sequence feature data; and constructing a VAE model according to the multi-scale time sequence feature data of the patient to obtain the VAE model. According to the method, the problem that an existing model is insufficient in consideration of individual differences and dynamic changes is solved, and more accurate and more personalized acute respiratory infection risk prediction is achieved.

The invention relates to a kit and a method for simultaneously detecting IL-6, IL-21 and T cell CD4 surface molecules in lymphatic tissue, and belongs to the field of biomedicine. The kit comprises a quantum dot marked with an IL-6 antibody, a quantum dot marked with an IL-21 antibody and a quantum dot marked with a CD4 antibody. The antibodies marked by the quantum dots are specifically combined with antigens in lymphatic tissues respectively; the CD4T cells have the capacity of secreting IL-6 and IL-21, and the mutual relation between the CD4T cells and IL-6 and IL-21 reflects the tissue immunocompetence. The invention provides a kit for simultaneously detecting IL-6, IL-21 and T cell surface molecules in lymphatic tissues, which positions the spatial relationship between two cell factors and T cells, calculates and analyzes corresponding fluorescence intensity and evaluates immune conditions. The kit has the advantages of high fluorescence intensity, accurate detection result, wide spectrum selection, wide applicability, stable fluorescence structure, long preservation time, high sensitivity, good specificity and the like.

The invention discloses a user portrait generation method and device based on big data and electronic equipment, and relates to the field of data analysis, and the method comprises the following steps: 1, defining a plurality of project attributes based on a user personal data information base; step 2, after user authorization, acquiring a data acquisition authority under a specified item in a user personal data information base, performing data acquisition, and cleaning the acquired data; step 3, selecting a demand attribute of a certain application target; step 4, determining as selection, defining a keyword capturing template by taking a preset application target demand attribute as a reference, performing keyword capturing on the cleaned data by using the capturing template, and performing tagged classification; according to the method, data cleaning, keyword capturing and label mining are utilized to ensure that the used data are highly related to target requirements, an accurate user portrait is generated, and a keyword capturing template and label classification can be adjusted according to different application targets.

The invention discloses an intelligent monitoring method for subsidence of the ground around a site in subway shield construction, and relates to the technical field of shield construction subsidence monitoring. 2, determining an installation scheme of the intelligent monitoring equipment; 3, positioning and installing the intelligent monitoring equipment; 4, liquid injection operation is conducted on the intelligent detection equipment; step 5, installing a corresponding data relay; 6, executing a data verification program; 7, analyzing and judging the monitoring data; and 8, classifying and archiving the monitoring data. According to the intelligent monitoring method for subsidence of the ground around the site in subway shield construction, intelligent equipment is adopted for monitoring according to the type of a house building, the monitoring efficiency and the monitoring precision are improved, and it can be guaranteed that monitoring is conducted for 24 h; the overall working efficiency is improved, and the construction cost is saved.

The invention provides an unmanned special vehicle operation-oriented scene updating method and a storage medium, the unmanned special vehicle operation-oriented scene updating method comprises a cloud end, a vehicle end and a vehicle cloud intermediate service library, the vehicle cloud intermediate service library comprises middleware arranged at a cloud service end and middleware arranged at a vehicle-mounted client, and the middleware of the cloud service end comprises a cloud end-scene service scheduling component; the cloud-scene service scheduling component comprises cloud-scene analysis and a cloud local service library; the middleware of the vehicle-mounted client comprises a scene service scheduling assembly, and the scene service scheduling assembly comprises scene analysis, vehicle cloud service scheduling and a vehicle cloud local service library; the middleware of the cloud server side and the middleware of the vehicle-mounted client side are both provided with vehicle cloud interconnection assemblies for vehicle cloud communication. The cloud end further comprises a cloud end micro-service, and the cloud end micro-service configures a scene API and other components. According to the invention, the vehicle cloud middleware is taken as a core, creation, updating, synchronization and issuing of the scene mode file are realized, and accurate scene operation is supported.

The present invention relates to the technical field of data storage management, and specifically discloses a service management system for Internet data storage. The system, by setting a subsystem construction module, a subsystem deployment test module, an operation management module and a data storage library, first collects and analyzes the data storage demand information of each user to obtain the user storage demand value, thereby constructing a first service management subsystem, which will enable the first service management subsystem to meet the user's requirements for data storage and ensure that the first service management subsystem accurately serves the user end. By deploying and functionally testing the first service management subsystem, it is possible to understand whether the function of the first service management subsystem is intact, perform operation monitoring on a designated service management subsystem with intact functions, and perform service management on the data storage status of the designated service management subsystem, and can feedback the data storage status of the designated service management subsystem to accurately handle data storage management issues.

The invention provides an RTK unmanned aerial vehicle laser radar-based exploration beacon application system, and the system comprises an RTK unmanned aerial vehicle platform which is used for carrying laser radar equipment and carrying out the high-precision positioning; the laser radar surveying and mapping module is installed on the RTK unmanned aerial vehicle platform and used for emitting laser pulses and receiving reflection signals so as to obtain space information of a ground surface target; the data processing module is used for receiving the data acquired by the laser radar surveying and mapping module, processing and analyzing the data, and generating a high-precision map and information required by a survey beacon; and the reconnaissance beacon module is used for automatically or semi-automatically setting a landmark at a specified position according to the information generated by the data processing module. According to the invention, the advanced unmanned aerial vehicle flight platform, high-precision laser radar surveying and mapping, intelligent data processing and automatic exploration beacon functions are integrated, and efficient and accurate services are provided for various scenes requiring accurate boundary delimiting and identification setting.

The invention discloses a service resource allocation method, and relates to the technical field of data processing, and the method comprises the steps: obtaining the user behavior data of each user in a plurality of users in a service scene; grouping the plurality of users according to the user behavior data of each user in the plurality of users in the service scene to obtain at least two reference groups; according to the behavior difference degree of every two first users in the at least two first users, determining the contribution degree of each first user in the reference group; and according to the contribution degree of each first user in the reference group, allocating a service resource corresponding to the service scene to a target user in the reference group. The method can improve the accuracy of service resource allocation.

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 picture processing, in particular to a power distribution network overhead line picture hierarchical knowledge mining method based on intelligent image recognition, and the method comprises the following steps: data standard examination, model design, training and iterative optimization. The method comprises the following steps: acquiring unmanned aerial vehicle inspection data of an overhead line of a power distribution network, carrying out manual annotation on the inspection data to form a fine annotation data set, carrying out model training and evaluation based on the fine annotation data set, and carrying out iterative optimization according to an evaluation result until a model effect reaches a practical level; the knowledge based on hierarchical mining supports power distribution digital intelligence high-level application service, auditing of equipment and elements, and sample collection of algorithm cultivation. Defect identification, collection, re-checking and work order pushing processes taking the tower as a unit are highly automatic, so that the efficiency and accuracy of defect processing are greatly improved, human errors are reduced, and the timeliness and effectiveness of power grid maintenance work are ensured.

The present invention relates to a kit and method for simultaneously detecting IL-6, IL-21 and T cell CD4 surface molecules in lymphoid tissue, belonging to the field of biomedicine; the kit comprises quantum dots for labeling IL-6 antibodies, quantum dots for labeling IL-21 antibodies, and quantum dots for labeling CD4 antibodies; the antibodies labeled by quantum dots specifically bind to antigens in lymphoid tissue respectively; CD4T cells have the ability to secrete IL-6 and IL-21, and the relationship between them and IL-6 and IL-21 reflects the tissue immune activity. The present invention provides a kit for simultaneously detecting IL-6, IL-21 and T cell surface molecules in lymphoid tissue, locating the spatial relationship between two cytokines and T cells, calculating and analyzing the corresponding fluorescence intensity, and evaluating the immune situation; the kit has the advantages of high fluorescence intensity, accurate detection results, wide spectrum selection, wide applicability, stable fluorescence structure, long storage time, high sensitivity, good specificity, etc.

The invention relates to a security patch system and a method and device for monitoring a protected system, and effectively solves the problems that the state outside a honeypot system cannot be monitored, the possibility of being identified and bypassed exists, and the network behavior simulation complexity of the honeypot system is increased, so that the network behavior simulation complexity is reduced. The system comprises a security patch, a flow monitor, an interaction monitor, a time monitor and a patch controller.

The present invention provides a customer classification method and device, which relates to the financial field. The method comprises: obtaining bank history data of customers to be predicted; determining the potential value of customers to be predicted using a pre-trained LightGBM model and the bank history data of customers to be predicted; and classifying customers according to the determined potential value of customers to be predicted. The present invention determines the potential value of customers to be predicted using a pre-trained LightGBM model and the bank history data of customers to be predicted; and classifies customers according to the determined potential value of customers to be predicted. It can well predict the service potential of customers, provide tiered services to customers, and classify customers with different prediction probabilities into different categories.

The present invention relates to the field of acute respiratory infection prediction technology, and in particular to a model training method, system and medium for acute respiratory infection prediction. The method comprises the following steps: collecting raw data of target patients and dividing time windows to obtain time window data; extracting biorhythm features based on the time window data to obtain biorhythm feature data; performing window feature screening on the biorhythm feature data to obtain important biorhythm time window feature data; arranging the important biorhythm time window feature data in time sequence to obtain multi-scale time series feature data of patients; constructing a VAE model based on the multi-scale time series feature data of patients to obtain a VAE model. The present invention achieves a more accurate and personalized prediction of the risk of acute respiratory infection by solving the problem that the existing models do not take into account individual differences and dynamic changes.

The present application belongs to the field of smart home technology, and specifically relates to a smart home-based elderly care service system and an information interaction method. The system includes: a server, which is used to determine personalized service content and service page display methods based on the dynamic information and basic information of home-based elderly care personnel obtained in real time; a smart terminal, which is used to display service pages, interact with the home-based elderly care personnel in a preset interactive manner, and receive a first input instruction from the home-based elderly care personnel; a smart terminal, which is used to extract abnormal behavior information from the first input instruction and / or the dynamic information of the home-based elderly care personnel, receive a second input instruction from the home-based elderly care personnel in a higher level of interactive manner, and send the second input instruction and abnormal behavior information to the server. The system of the present application provides personalized and convenient services for home-based elderly care personnel; at the same time, the operation can be simplified through smart devices, and the information of the elderly care personnel can be obtained in a timely and accurate manner in an emergency, which is convenient for rescue.

The invention relates to the technical field of shopping mall marketing, and particularly discloses a personalized content recommendation method and system based on collaborative filtering. Drainage configuration information is obtained, a drainage link is obtained according to the drainage configuration information, and the drainage configuration information comprises basic information, distribution rule information, welcome information and landing page template information; link type information of a drainage link is obtained according to the basic information, application mode information is obtained according to the link type information, and the link type information comprises special link information and universal link information; according to the method, a plurality of multi-user live codes and drainage links are created through the drainage configuration information, and corresponding scene labels and welcome words are configured, so that after a merchant places the live codes in different drainage scenes, the drainage effect of each channel can be effectively evaluated, and the drainage efficiency is improved. Therefore, a basis can be provided for determining resource allocation and marketing key points.

The invention provides a crop variety identification method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a plant phenotype parameter value of each target dimension after space-time alignment of a to-be-identified crop, and taking the plant phenotype parameter value as each phenotype feature data corresponding to the to-be-identified crop; performing quantum state feature representation on each phenotypic feature data corresponding to the to-be-identified crop, and obtaining quantum superposition state representation of each phenotypic feature data corresponding to the to-be-identified crop as quantum state phenotypic feature data corresponding to the to-be-identified crop; and inputting the quantum state phenotypic characteristic data corresponding to the to-be-identified crop into the crop variety identification model, and obtaining a variety identification result of the to-be-identified crop output by the crop variety identification model. According to the crop variety identification method and device, the electronic equipment and the storage medium provided by the invention, the difference between the same variety and different varieties can be identified more accurately by using the crop variety identification model, and the accuracy of crop variety identification is improved.

A computer-implemented method for determining one or more application-specific control parameters of a pump operating in a system for moving a fluid, the method comprising: monitoring one or more operational variables of the pump during operation of the pump in said system; applying a trained machine-learning model to automatically determine an application type from the monitored operational variables, the application type representing a type of system the pump operates in and / or representing a type of operation performed by the pump when operating in said system, each application type being associated with a respective set of one or more application-specific control parameters; controlling the pump based on the set of one or more application-specific control parameters associated with the determined application type.

The present invention provides a cloud load balancing service method and system based on a cloud platform. According to the working status information of the cloud load terminal, it distinguishes whether it is in a working saturation state, and further determines whether the cloud load terminal in the working saturation state needs to transfer the data processing task to other cloud load terminals for processing because it cannot process the new data processing task in time. It also determines the cloud load terminal suitable for receiving the transferred data processing task, so that the data processing task can be processed in time after being transferred, and the computing power of all cloud load terminals is fully deployed to try to ensure that the data processing tasks of the cloud load terminals can be processed in time and accurately, thereby improving the service balance and reliability of the entire cloud platform system.

The invention discloses a computer intelligent service management system, method and device and a storage medium, and the method comprises the following steps: obtaining related information of computer service used by a user, and storing the related information in a system database; analyzing input data and use behavior data of the user, and generating decision support information based on an analysis result; user portraits are completed by means of big data mining, user service demand features are clarified, and personalized service recommendation is provided; personalized service recommendation effects are monitored, user evaluation is collected, summarized and arranged, and a data analysis mode and a service strategy are optimized according to evaluation service quality and improvement effects; user precise service effects are collected, operation is repeated, a management method is optimized, and precise service management is achieved. According to the method, the use data of different services are processed in a centralized manner, the use behaviors, input data and preferences of the user are analyzed, a final analysis result of the heterogeneous information network relation graph is constructed by analyzing and mining the data, and accurate personalized recommendation is provided for the user.

The invention provides a domestic artificial intelligence computing power adaptation test service platform, which belongs to the technical field of data management, and comprises a user login module used for carrying out identity authentication and entering a platform main interface after the authentication is passed; a plurality of function options for a user to select are provided in the main interface, and each function option is used for executing preset logic when being selected so as to obtain an execution result and display the execution result; the question and answer module is used for receiving questions related to chips or manufacturers and proposed by users, converting the questions into question embedding vectors, generating cue words based on the question embedding vectors and embedding vectors matched with the question embedding vectors and retrieved from a preset data knowledge base, and sending the cue words to a server; and inputting the cue word and the question embedding vector into the large language model so as to feed back and obtain a question answer. The system has the beneficial effects that through integrated information management, comprehensive and accurate domestic chip information service is provided for enterprises, and the information retrieval efficiency is improved; and the use experience is improved through interactive questions and answers.