652results about How to "Meet individual needs" patented technology

The invention provides a dynamic health adaptive monitoring method and system using artificial intelligence, and relates to the technical field of health monitoring, and the method comprises the steps: carrying out the noise reduction through a hierarchical diffusion probability model through multi-source heterogeneous health data, extracting preliminary features through combining with an improved attention auto-encoder, learning discriminative features through a contrast learning network, and carrying out the recognition of the discriminative features; inputting the discriminative features into an adaptive wavelet neural network for multi-scale feature decomposition, inputting the discriminative features into a dynamic graph neural network to obtain a health feature tensor, obtaining time sequence features by using a hierarchical memory enhancement network, and generating a health knowledge graph in combination with a dynamic routing capsule network and a causal reasoning network; and inputting the time sequence characteristics and the health knowledge graph into a deep Bayesian network for health risk assessment, and obtaining an adaptive monitoring scheme through a model prediction control network by using a hierarchical reinforcement learning network and combining a multi-agent collaborative optimization system and a deep deterministic strategy gradient network.

The invention relates to an intelligent semantic analysis knowledge graph system for multi-source heterogeneous data. The system comprises a data preprocessing module used for preprocessing to-be-processed multi-source heterogeneous data to obtain format-standardized text data; the semantic analysis module is used for performing natural language processing on the text data to obtain words, and then performing vocabulary layer, syntactic layer and semantic layer analysis on the text data and the words to obtain structured data; the structured data comprises a triple consisting of entities, relationships and events and a network diagram of the entities and the relationships; the model structure mapping module is used for mapping the structured data into a predefined structure of a knowledge graph to obtain structured graph data; and the knowledge graph module analyzes entities and relationships in the graph data, performs reasoning to obtain potential relationships in the graph data by utilizing a logic rule and a machine learning algorithm, realizes cross-data-source and cross-document deep semantic association, and improves the efficiency of large-scale data processing and knowledge management.

The invention relates to an activity scene arrangement scheme generation method and system, and the method comprises the following steps: obtaining activity scene data, and carrying out the analysis to obtain an activity theme and the characteristics of participants; objective condition parameters of the target site are obtained, and the candidate arrangement elements are screened; constructing a multi-dimensional attribute vector according to the screened arrangement elements; clustering the multi-dimensional attribute vectors, and performing spatial layout planning on layout elements; performing combined optimization on the generated spatial layout plan, color scheme and light effect setting; the time period of the activity is extracted, and the recommended arrangement scheme is adjusted according to the relevance; and performing visual rendering on the adjusted recommended arrangement scheme, and optimizing and determining an activity scene arrangement scheme. Intelligentization and individuation of activity scene arrangement are achieved, integrity, creativity and coordination of the arrangement effect are improved, meanwhile, influences of actual site conditions and activity time are considered, and a more optimized scene arrangement solution is provided for a user.

The invention discloses a role-playing chatting robot implementation method based on a human background big language model, and the method comprises the steps: collecting the text data of a large amount of literature works, extracting role dialogues, actions and abstracts through a big model, and extracting role setting information at the same time; extracting a double-person multi-round dialogue from the role dialogue, and matching with role setting to form a preliminary data set; converting the preliminary data set into a Json format, and constructing a structured multi-round dialogue data set; a LoRA method and a DPO method are adopted to carry out fine tuning on the large language model; building a chat robot based on the fine-tuned large language model, and integrating role information, background stories, historical dialogue abstracts and a small amount of example dialogues to form a dynamic cue word framework; an intelligent chat framework is constructed for a chat robot and comprises a time planning module, an active pushing module and a delayed chat module. By utilizing the method and the system, the dialogue quality, the role personalization, the role consistency, the interaction continuity and the user experience can be effectively improved.

The invention discloses an audio and video joint coding and decoding method based on generative artificial intelligence. The coding comprises the following steps: extracting various modal features from an audio signal and a video; fusion is carried out in cross-modal attention; task identification: firstly identifying a current task type, determining the task type, and analyzing specific requirements of the task by a system; dynamic self-adaptive weight distribution is carried out; and fusing the features, namely fusing the multi-modal features distributed with different weights. The audio and video joint coding method has the advantages that audio and video feature extraction, video feature extraction and AI-based generation technologies are applied to audio and video joint coding for the first time, and the problems that when video coding and decoding are conducted through a traditional method, compression efficiency is low, and the pursuit of higher quality cannot be met are solved. Meanwhile, on the basis of a generation type coding and decoding mode, the style and quality can be flexibly adjusted according to the personal requirements of the user.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses an information processing method based on sentiment analysis, and the method comprises the steps: collecting data and information which comprise text data, user behavior data and event information; performing natural language processing and sentiment analysis on the text data, and identifying sentiment features of the text data; analyzing the user behavior data to determine a behavior pattern; analyzing the event information to determine an event change trend; generating an emotional state index based on the emotional characteristics, the behavior pattern and the event change trend; monitoring the online platform to obtain user emotion feedback; comprehensively analyzing the emotion state index and the user emotion feedback to generate an emotion analysis result; and generating target output content based on the emotion analysis result. Through combination of emotion analysis, behavior data and event change trends, the emotion state of the user can be captured in real time, decision suggestions are dynamically adjusted, and market or environment changes are effectively coped with.

The invention relates to an air conditioner dynamic optimization method and system based on deep learning, and belongs to the technical field of air conditioner intelligent control. The method comprises the steps of obtaining air conditioner operation data, constructing an air conditioner operation data set through air conditioner data preprocessing according to the air conditioner operation data, and obtaining an air conditioner user preference model through multi-layer perceptron training and testing according to the air conditioner operation data set, according to the air conditioner user preference model, an air conditioner user preference DQN model is constructed through an initialized DQN; environment sensor data are collected in real time, a user air conditioner optimal control strategy is output through the air conditioner user preference DQN model according to the environment sensor data, and air conditioner equipment is regulated and controlled in real time through an air conditioner control system according to the user air conditioner optimal control strategy. Therefore, the air conditioner parameters are dynamically optimized based on the user comfort level and the energy-saving target.

The invention relates to the technical field of education informatization, and discloses a digital teaching resource library intelligent management and application method and system. The method comprises the steps of constructing a digital resource library, constructing a resource application big data analysis model to calculate a resource quality index, a popularity index and an update index, performing intelligent resource sorting and elimination based on the indexes, analyzing the correlation between a user retrieval request and resources, and performing intelligent recommendation. According to the method, efficient management and accurate application of teaching resources are realized, the resource utilization rate and the teaching effect are improved, the storage space and the management cost are saved, and data support is provided for education decision making.

The invention provides an integrated dynamic drug metabolism monitoring and early warning system, and relates to the technical field of drug metabolism monitoring and early warning, the integrated dynamic drug metabolism monitoring and early warning system comprises a data acquisition module, a data processing module, a model construction module, an early warning mechanism module and a user interaction module, the data acquisition module is composed of an optical sensor, a chemical sensor and an electrophysiological sensor, according to the system, the concentration of drugs and related physiological parameters are monitored in real time, different types of biological signals are captured, and the sensitivity and selectivity of the sensors are considered in the design of the data acquisition module so as to ensure the stability and accuracy in different physiological states. Drug concentration and physiological parameters are monitored in real time from multiple dimensions, sensors select and cooperate to form an efficient acquisition network according to performance expression, data quality is optimized in combination with a multi-source data fusion algorithm (such as Kalman filtering and a weighted average method), and a data processing module adopts a statistical analysis algorithm to clean standardized data.

The invention provides a presentation document generation method and device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, and is suitable for the field of financial science and technology. The method comprises the following steps: performing information analysis on document generation indication information to obtain a document guide language and a document generation intention; selecting elements according to the document generation intention to obtain at least two document elements; generating a document outline structure according to each document element and the document guide language; wherein the document outline structure comprises a basic document page, and the basic document page is provided with a demonstration guide text; performing material selection on a pre-constructed structured database according to the demonstration guide text to obtain a target material and material attribute information; updating the basic document page according to the target material and the material attribute information to obtain a target document page; and replacing the basic document page in the document outline structure with the target document page to obtain a target demonstration document. According to the method, the presentation document generation accuracy can be improved, and personalized requirements of users are met.

The invention discloses an intelligent early warning system for laboratory hazardous gas leakage, and the system comprises a system initialization and configuration module which is used for carrying out sensor deployment, system configuration and network connection; the real-time monitoring and data acquisition module is used for continuously monitoring sensor data and preprocessing the data; the data analysis and judgment module is used for threshold comparison and trend analysis to obtain alarm information and notification information; the alarm and notification module is used for sending out alarm information and notification information; the linkage control and emergency response module is used for automatically closing a dangerous source and starting a ventilation system; the recording and reporting module is used for recording events and generating reports; and the system recovery and evaluation module is used for alarm release, system inspection and safety evaluation. According to the invention, more comprehensive and intelligent laboratory hazardous gas leakage early warning can be carried out.

The invention discloses a scheme rapid design method, system and equipment for a non-standard customized power distribution cabinet and a medium, and relates to the technical field of power distribution cabinets, and the method comprises the steps: evaluating dimensions based on a customized scheme, carrying out the classification and arrangement of user customized demand information, forming a plurality of customized demand groups of different evaluation dimensions, and determining the design elements of the power distribution cabinet; according to the customization demand group and the power distribution cabinet design elements thereof, combining with an existing power distribution cabinet design resource information base to carry out resource matching and preliminary design parameter determination; generating a preliminary design scheme, and obtaining user feedback behavior data for the preliminary design scheme; analyzing the intention degree of the user according to the user feedback behavior data, and carrying out optimization adjustment to obtain design scheme parameters of the personalized demands of the user; according to the optimized design scheme parameters, a final design scheme is rapidly generated; on the basis of ensuring the design quality of the non-standard customized power distribution cabinet and meeting the large-batch and personalized market requirements, the scheme design efficiency of the non-standard customized power distribution cabinet is improved.

The invention relates to the technical field of LED light sources, in particular to an automatic color temperature adjusting method of an LED light source in different scenes, which comprises the following steps: S1, user situation detection: detecting user positions and behavior characteristics in a shared space in real time to form a situation data set; s2, multi-user situation identification: realizing regional identification of the multi-user situation; s3, environmental adaptability fine tuning: performing small-amplitude adjustment on the color temperature through an environmental adaptability fine tuning algorithm; s4, color temperature area distribution: dividing the shared space into a plurality of color temperature areas, and setting a corresponding color temperature value for each area; and S5, generating a color temperature regulation and control instruction: generating a regulation and control instruction for controlling each color temperature area. According to the invention, it is ensured that color temperature adjustment not only conforms to personal preference, but also can automatically adapt to environmental changes, so that visual comfort and space adaptability are effectively improved, and an intelligent lighting system is more intelligent and personalized.

The invention provides a passenger cabin temperature control method and system and a vehicle. The method specifically comprises the following steps: (1) receiving a temperature distribution heat map and a driver and passenger image sent by an infrared imaging device and a camera; (2) acquiring actual body surface temperatures of all drivers and passengers in a passenger compartment; and (3) the air outlet volume and / or the air outlet temperature of an air outlet in the temperature control area are / is controlled, so that the actual body surface temperature of the driver and passengers in the temperature control area reaches the set target body surface temperature. The air outlet volume and the air outlet temperature of the air outlet of the temperature control area are controlled based on the actual body surface temperature of the driver and the set target body surface temperature, zoning control over the temperature in the passenger compartment is achieved, and the individual requirements of a user can be better met.

The invention provides a water outlet control method and device, a mineralization faucet and a storage medium, and the method comprises the steps: carrying out the human body recognition of a target object in a current space, and obtaining a target recognition result; when determining that the target object is a non-human animal object based on the target identification result, determining that the water outlet control strategy is a water outlet prohibition strategy; when it is determined that the target object is the human body object of the preset age group based on the target recognition result, the water outlet control strategies are determined as a low-temperature secondary unlocking water outlet strategy and a high-temperature multi-time unlocking water outlet strategy; and when it is determined that the target object is a human body object of a non-preset age group based on the target recognition result, determining that the water outlet control strategies are a low-temperature direct water outlet strategy and a high-temperature secondary unlocking water outlet strategy. Through accurate human body recognition and water outlet control strategies, small animals are effectively prevented from mistakenly triggering water outlet, different water outlet control modes are provided for users of different age groups, and the water outlet safety is improved; through real-time monitoring and visual display of water quality information, a user can obtain instant water quality feedback, the convenience and accuracy of drinking water quality monitoring are improved, and thus the user experience is improved.

The invention relates to an interactive music intelligent generation method and system adaptive to a scene space, and the method comprises the steps: building a conditional diffusion model frame through sensing the behavior, emotional state and space environment change of a user, generating music matched with a current scene in real time, achieving the deep fusion of the music and user experience, and improving the user experience. And the generated music is dynamically adjusted to ensure that the generated music not only can flexibly cope with scene changes, but also can meet personalized requirements of the user, so that the interaction experience of the user with the music generation system in the scene is improved, and the diversity and intelligence of scene scheme generation are improved.

The invention discloses a position recommendation method, model and device based on a deep neural network model. The method comprises the steps that features and IDs are input into a shared embedding layer, the shared embedding layer carries out embedding operation on the input features and IDs, obtained public feature vectors are input into a public feature layer, and private feature vectors are input into a private feature layer; obtaining a common feature vector matrix based on the common feature layer; obtaining a private feature vector matrix based on the private feature layer; inputting the public feature vector matrix and the private feature vector matrix into an expert layer to obtain a predicted click probability and a transformation probability of the target position; inputting the public feature vector matrix and the private feature vector matrix into a gating layer to obtain a weight; and based on the click probability, the conversion probability and the weight of the target position, obtaining a target click probability and a target conversion probability of the target position, and further obtaining a sorting score of the target position. The position recommendation method and device are beneficial for improving the position recommendation accuracy and meeting personalized requirements of different scenes.

The invention belongs to the technical field of machine control and management, and particularly discloses a household unmanned control and management system based on a washing robot, which comprises a washing robot main body and a washing control system, the washing control system comprises a clothes identification and analysis module, an environment information acquisition module, a clothes cleaning confirmation module, a user interaction verification terminal, a database and a clothes processing execution module. According to the invention, when the clothes information of the dirty clothes placement area is collected, whether the dirty clothes placement area needs layered detection is judged according to the collected overall scanning visual image, overall spectral data and overall scanning depth image, so that the problem of insufficient attention to clothes identification accuracy at present is effectively solved; according to the method, the mode, the water amount and the adding amount of the detergent of subsequent automatic clothes washing can be accurately controlled, misjudgment is reduced, and meanwhile, the flexibility and pertinence of washing setting are guaranteed by confirming the washing operation instruction.

The invention discloses a wallpaper display method and device, and belongs to the field of image processing. The method comprises the steps that first wallpaper and an oscillogram of first audio information are displayed on a current interface, and the oscillogram of the first audio information is used for prompting the time for executing setting input on the first wallpaper; receiving a setting input for the first wallpaper; in response to the setting input, obtaining a dynamic wallpaper associated with the first audio information; and displaying the dynamic wallpaper under the condition that the first audio information is played.

The invention discloses a test coil heat treatment system and process, and the system comprises a vertical gas furnace which is used for accommodating and heating a test coil; the crucible is arranged in the vertical gas furnace and is used for directly carrying out heat treatment on the test coil; the argon protection control system is connected with the vertical gas furnace and the built-in crucible, provides high-purity argon to replace gas, maintains micro-charging and micro-discharging in the heat treatment process, and controls the temperature in the vertical gas furnace so as to meet the heat treatment of the coil; the argon supply system is used for supplying argon to the vertical gas furnace and the built-in crucible; and the monitoring and control system is used for monitoring and controlling the temperature, the pressure and the flow in the heat treatment process in real time. The temperature control system and the thermocouple are used in cooperation, accurate temperature control over the coil in different stages can be achieved, the heat treatment quality is improved, the argon protection system provides a stable protection atmosphere for the coil through the preheating coil and the flow control valve, oxidation and impurity pollution are effectively prevented, and the corrosion resistance and the electrical performance of the coil are improved.

The invention discloses a real-time process mining method based on data analysis, which belongs to the technical field of data analysis, and comprises the following steps: providing a user interface, allowing a user to configure input parameters of a data acquisition task, including a target website URL (Uniform Resource Locator) and an acquisition frequency; the data acquisition module is used for realizing pre-definition and comprises a webpage crawler module which is used for automatically accessing and capturing contents of a target website and pre-processing the contents; an API calling module is provided and used for obtaining data from a third-party service or a data provider; the database query supporting module is used for directly extracting data from a database and carrying out encryption transmission on the data; monitoring the state and performance of the data acquisition task in real time; when abnormity or performance reduction is detected, the system automatically triggers an alarm; according to the method, the technical threshold of process mining is remarkably reduced through a user-friendly interface.

The invention relates to the field of artificial intelligence, and provides a presentation file automatic generation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: calling a first model interface, and introducing presentation file outline information or presentation file theme information and typesetting prompt information to obtain a first return result; generating a paging prompt content sequence according to the first return result; the target theme style and the paging prompt content sequence are input into a pre-trained presentation file typesetting design model, a paging typesetting design description sequence is obtained, the paging typesetting design description sequence comprises a plurality of typesetting pages, and one typesetting page corresponds to one typesetting design description; and generating a target presentation file based on the paging typesetting design description sequence and the target theme style, and outputting the target presentation file. The PPT generated by the method is more compact in structure and better in logicality, and the PPT typesetting design has better novelty and uniqueness, so that the personalized requirements of users can be better met.

The invention discloses a brake disc manufacturing process, and relates to the technical field of brake disc manufacturing. The brake disc manufacturing process specifically comprises the following steps that S1, a casting is purchased, and machining operation is conducted on the casting, so that an initial disc is obtained; s2, carrying out first cladding operation on the disc surface of the initial disc; according to the manufacturing process of the brake disc, while color individuation of the brake disc is guaranteed, the color of a disc body of the brake disc is guaranteed by applying a laser cladding technology, and one or more special metal or nonmetal wear-resistant layers are formed on the surface of the brake disc, so that the wear resistance and the rust resistance of the brake disc are improved, the attractiveness is improved, and the attractiveness and individuation of the brake disc are improved; the automobile brake disc is subjected to surface treatment through laser coating, the metal coating is formed, coloring agent materials such as metal or metal compounds or ceramic are added while laser coating is conducted, color changing of multiple colors can be conducted on the brake disc, and the effect that the brake disc is not discolored after long-term operation can be kept.

The invention relates to the technical field of sweater model simulation, in particular to a model simulation method and system for digital spinning of sweaters. The method comprises the following steps: obtaining a to-be-designed user omni-directional image, textile raw material multi-scale parameters and a textile process log; analyzing geometric morphology parameters of the user omnibearing image to be designed, performing three-dimensional geometric point cloud modeling, and constructing a user three-dimensional morphology model; performing physical characteristic parameter analysis on the multi-scale parameters of the textile raw materials, and performing deep parameter characteristic mining to obtain multi-scale state characteristics of the textile raw materials; and performing external mechanical deformation response analysis and internal fiber elastic response analysis based on the multi-scale state characteristics of the textile raw materials to generate external mechanical deformation response data of the textile raw materials and internal fiber elastic response characteristics of the textile raw materials. According to the invention, personalized and visual user try-on simulation is realized through sweater model simulation, and the production efficiency of spinning sweaters is improved.

The invention discloses an order logistics channel allocation quotation method, which can automatically select and match a quotation table according to orders and channels by setting four charging modes and formulas of full toll, semi-toll, timber volume and cube, efficiently and accurately calculate final logistics quotation, reduce manual errors and improve the efficiency. The quotation table covers different logistics channels, service grades, destinations and weight / volume intervals, accurately matches order demands, provides diversified choices such as air transportation, sea transportation and land transportation, meets individual demands, improves customer satisfaction, and reduces logistics cost and improves operation efficiency by comparing quotations and enabling customers to choose channels with highest cost benefits. A clear quotation table and formula enhance transparency, improve customer trust, set different service levels to encourage high-quality service, guarantee customer experience and enhance loyalty.

The invention discloses intelligent acupuncture and moxibustion equipment based on rosemary-rosemary reflection and a positioning method, relates to the field of intelligent positioning, and is used for solving the problem that the accuracy is reduced due to the fact that a traditional Chinese medicine bone degree division method and a user body type ratio are in a fuzzy relation and positioning of remaining acupuncture points cannot be accurately determined. Preprocessing the images of each partial region of the human body, synthesizing the image definition of each partial region image, the positioning distance difference between the virtual body position and the proportion size and a support vector machine model constructed by a virtual body position acupuncture point position model initial training set, and adjusting the model difference; weighted calculation is carried out through the distance difference between the electrode plate and the preset acupoint position and the preset current difference of the electrode plate, the weighted calculation is compared with the adjusting threshold value, the acupoint positioning accuracy is improved, the application scene of the intelligent acupuncture and moxibustion equipment is improved, and the personalized requirements of different users are met.

The invention discloses a shared parking method for real-time sharing adjustment and dynamic income optimization, and belongs to the technical field of shared parking system optimization. The problem that an existing shared parking method is low in parking space utilization rate is solved. According to the method, an owner can flexibly adjust the sharing state of the parking space according to actual requirements, modification in a common mode can be carried out, instant modification in an emergency situation is also supported, and personalized requirements are met. Different pricing modes are provided, meanwhile, an overtime pricing mechanism is introduced, when the vehicle owner parks in an overtime mode, the system can increase prices according to the overtime duration, the vehicle owner is motivated to leave on time, and the circulation efficiency of the parking space is ensured. According to the invention, a bidirectional credit evaluation mechanism is also introduced, the behavior of frequently modifying the parking space state by the owner and the overtime parking behavior of the owner are recorded and brought into a credit scoring system, the occurrence of improper behaviors is reduced, the fairness of the shared environment is ensured, and the win-win situation of both parties is realized. The method can be applied to optimization of the shared parking scheme.

The invention provides an earthworm breeding room environment monitoring system and method based on multi-source data, and relates to the technical field of earthworm breeding room environment monitoring, a breeding room is uniformly divided into a plurality of grids, a plurality of sensors are arranged to collect historical environment data in the breeding room, and the historical environment data are preprocessed to form a historical sample set. And training an environment prediction model by adopting a linear regression model so as to predict future environment data. And preprocessing environment data at the current moment, inputting the preprocessed environment data into the model, predicting environment parameters at the next moment, comparing the predicted environment parameters with a suitable range, and marking an abnormal grid. And calculating an environment index of the abnormal grid, comparing the environment index with a preset threshold value, and if the environment index is lower than the threshold value, giving out an early warning. According to the method, the environment condition of the earthworm breeding room can be effectively monitored, the suitability of breeding conditions is ensured, the breeding efficiency and yield are improved, and the method has important application value and popularization potential.

The invention discloses a culture recommendation system and method based on a user portrait, and belongs to application of a data analysis and machine learning technology in the culture field, and the method comprises the following steps: collecting user data and culture content data, and constructing a comprehensive portrait of a user; the first recommendation system generates a preliminary recommendation result, optimizes weight parameters and optimizes a recommendation list; the second recommendation system generates secondary recommendation content by adopting user clustering and similarity analysis, and generates a final recommendation list by integrating the recommendation list of the first recommendation system; and displaying. The system comprises a data acquisition and processing module, an initial recommendation generation module, a user clustering and similarity analysis module and a recommendation result display module. According to the method, the basic information, the behavior characteristics and the emotional tendencies of the users are collected, the multi-dimensional user portraits are constructed, and the improved similarity calculation method and the recommendation algorithm are combined, so that the accuracy and the applicability of the recommendation system are improved, and the performance and the user satisfaction of the recommendation system are comprehensively improved.

The invention discloses a data center operation monitoring system and method based on an out-of-band technology and a medium, and the system comprises an out-of-band data collection module which is used for obtaining hardware state information, performance parameters and system logs of data center equipment through an out-of-band communication channel, and a data processing and analysis module which is connected with the out-of-band data collection module and is used for processing and analyzing the data center equipment. The system comprises a data processing and analyzing module for cleaning, converting and analyzing collected data, a monitoring alarm module for sending alarm information when a preset threshold value is exceeded according to an analysis result of the data processing and analyzing module, and a visual display module for displaying the analysis result to a user in a visual chart, graph and report form mode. And the configuration management module is used for configuring and managing various parameters of the monitoring system. Through innovative designs of out-of-band data acquisition, intelligent modules and the like, comprehensive data acquisition and accurate alarm and prediction are realized, the monitoring level of a data center is improved, the fault risk is reduced, the cost is saved, and stable and efficient operation is guaranteed.