20results about How to "Meet expectations" patented technology

The invention relates to an air purification method and system fused with AI intelligent big data analysis, and solves the problem that the purification effect is greatly reduced due to the fact that an air purifier cannot adjust operation parameters in time according to upcoming air quality changes in the operation process. The method comprises the following steps: inputting real-time gas related data and gas related data in a historical past time range into a pre-trained air quality prediction model, and outputting an air quality prediction result in a future preset time range; and the mode set by the user about the air purifier and the air quality prediction result in the future preset time range are input into the air purifier operation parameter optimization model, the optimized air purifier operation parameters are output, and the air purifier is indicated to perform corresponding operation according to the optimized air purifier operation parameters. The intelligent air purifier has the following effects that precise and intelligent air purification is achieved, the indoor air quality is effectively improved, and various requirements are met.

The invention belongs to the technical field of automobile steering control, and particularly relates to an EPS power-assisted mode and return mode switching process control method which is composed of a steering mode switching judgment module, a switching time determination module, a torque curve processing module and a switching compensation torque determination module. By designing the switching time length determination module, the return time is determined according to the steering angle of the steering wheel and the vehicle speed at the current moment, the expectation of a driver is better met, the expected value of the switching compensation torque is obtained through torque processing of the Bizier curve according to calculation of different switching conditions, and therefore the accuracy of the switching compensation torque is improved. The switching compensation torque at any switching moment is obtained by tracking the switching torque curve graph, so that the steering mode switching process of the vehicle under different working conditions is smoother, and the steering comfort of a driver is greatly improved; the problem of pause caused by sudden change of hand torque felt by a driver when the power-assisted mode and the aligning mode of the current electric power-assisted steering automobile are switched is solved, and the driving experience is improved.

The invention discloses an aluminum alloy material, a battery shell and a power battery, the aluminum alloy material at least comprises Al, Mn, Si, Cu, Fe and Ce, the mass percentage content of Ce is 0.3-1 wt%, the battery shell is prepared from the aluminum alloy material, and the power battery comprises the battery shell. The Ce with the specific content is creatively used as the raw material to be added into the aluminum alloy for modification treatment, aluminum grains can be reduced by half to one third, the grains can be refined, dislocation movement is effectively hindered, and then the strength and hardness of the aluminum alloy material are improved.

The invention discloses a user preference-based text video diffusion model training method and device, and the method comprises the steps: obtaining the text data of a user, inputting the text data into a text refining model for processing, and obtaining refined text data; inputting the refined text data into an initial text video diffusion model to obtain a plurality of initial videos; inputting the plurality of initial videos into a pre-trained user preference alignment model to obtain an optimal video aligned with the user preference; and training the text video diffusion model based on the optimal video to obtain a target text video diffusion model. According to the method, a video model is generated by aligning texts by using a help and security preference data set, and a reward model and an auditing model are trained by using data. And screening an optimal safety generation result as a supervision signal through the two models to train and optimize the text video diffusion model. And the safety can meet the expectation of human beings while the help of the text video diffusion model is improved.

The invention relates to the technical field of AI, and discloses an intelligent image processing method and system based on AI.The method comprises the following steps that a user provides input data, and the input data comprise an original picture, text description and multi-modal information; using a pre-trained target detection algorithm to process object recognition in all original pictures in batches; classifying the objects identified in each picture, and marking the categories of the objects; extracting a group of standardized features of each class of objects; and for each object in each picture, according to the standardized features of the object and the keyword matching degree in the user text description. According to the method, the intention and preference of the user are accurately understood by introducing the multi-modal information and performing feature extraction on the original picture provided by the user, and important objects can be preferentially considered in the generation process based on a comprehensive scoring system of feature similarity, keyword matching degree and multi-modal influence; and the generated result better accords with user expectation.

The present invention provides an exhaust system (6) for an internal combustion engine (4) having at least one exhaust pipe (7) originating from the internal combustion engine (4) and having an end portion (9) terminating at an outlet orifice (10) through which exhaust gases are released into the atmosphere. The end portion (9) of the exhaust pipe (7) has at least one movable wall (16) movable to different positions to change the width of the outlet orifice (10). The system includes: a motor-driven actuator (17) configured to move the movable wall (16) and capable of being electronically controlled; and a control unit (17) configured to change the position of the movable wall (16) by controlling the actuator (17) according to the rotational speed and engine load of the internal combustion engine (4).

The application discloses a game virtual role behavior decision-making method based on deep reinforcement learning, comprising the following steps: S1, obtaining the current environment state information of a game virtual role, and obtaining standardized environment state features after preprocessing the environment state information; S2, performing hierarchical reinforcement decision-making based on an intention-risk double-layer decoupling architecture, and generating a candidate behavior action set matching the current environment state; and S3, performing robustness screening on the candidate behavior action set through opponent counterfactual simulation, and the application relates to the technical field of game artificial intelligence. The game virtual role behavior decision-making method based on deep reinforcement learning performs robustness screening on the candidate behavior action through opponent counterfactual simulation, ensures that the selected behavior not only conforms to the current environment state, but also exhibits good stability and benefits under various possible opponent strategies, and greatly improves the ability of the game virtual role to cope with complex situations.

This invention discloses an intelligent visual prosthesis system and encoding method. The system includes an external sensing processing unit and an internal implanted stimulation unit. The external sensing processing unit includes at least an environment sensing unit and a first data processing unit, and the internal implanted stimulation unit includes at least a stimulation signal generation unit and an electrode array. The environment sensing unit is used to acquire a target image. The first data processing unit is used to match the current scene to a preset lighting scene mode according to the image features or ambient illuminance of the target image, independently configure anchor points for the corresponding image grayscale value boundaries for the matched lighting scene mode, and generate a grayscale-charge density mapping relationship corresponding to the lighting scene mode. Then, the grayscale value of each pixel of the target image is mapped to the corresponding target charge density, and a stimulation command is generated and output to the stimulation signal generation unit. The stimulation signal generation unit is used to generate an electrical stimulation pulse sequence according to the stimulation command and a preset reference pulse width and output it to the electrode array.

The present application relates to the technical field related to intelligent recommendation, and specifically to a method and device for intelligence collection and editing based on reinforcement learning. The method includes: obtaining intelligence collection and editing logs; constructing a selection button click rate estimation model and a push button click rate estimation model based on the intelligence collection and editing logs; wherein the selection button click rate estimation model is used to estimate the selection button click rate of intelligence, and the push button click rate estimation model is used to estimate the push button click rate of intelligence; constructing a fusion model of the output results of the selection button click rate estimation model and the output results of the push button click rate estimation model; wherein the fusion model is a deep learning model, and is also used to adjust internal parameters based on the latest operations of intelligence collection and editing personnel, so that the fusion value output by the fusion model is more in line with the expectations of intelligence collection and editing personnel; candidate intelligence recommendations are made based on the selection button click rate estimation model, the push button click rate estimation model and the fusion model.

This invention discloses a dynamic control system and method for cigar flavor, relating to the field of cigar production technology. It includes: a flavor analysis module for analyzing volatile components in cigar tobacco leaves, performing sensory evaluation of the overall cigar flavor, and establishing a cigar flavor fingerprint; a demand acquisition module for collecting current consumer demand, gathering consumer personal information and cigar consumption habit data; and a consumer habit database for storing consumer personal information and cigar consumption habit data, and establishing a correlation model between consumer habits and cigar flavor characteristics through data mining and analysis techniques. The system of this invention can generate personalized cigar recipes based on consumers' personal information, consumption habits, and specific preferences, meeting consumers' personalized flavor needs and enhancing the consumer experience. Through a mathematical model of entry depth and flavor perception, combined with individual consumer habits, it refines recipe adjustment strategies, enhancing consumer participation and satisfaction.

The invention provides mochi premixed flour, mochi and a preparation method, and belongs to the technical field of food processing. The mochi premixed flour is prepared from the following components in parts by mass: 90 to 110 parts of low-gluten wheat flour, 60 to 80 parts of pre-gelatinized cassava starch, 25 to 35 parts of white granulated sugar, 1.5 to 2.5 parts of edible salt and 5 to 15 parts of whole milk powder. According to the mochi premixed flour, the low-gluten wheat flour and the pregelatinized cassava starch are used as main raw materials, protein in the wheat flour can form a gluten network, and mochi is endowed with certain toughness; the pre-gelatinized cassava starch can be gelatinized by means of high amylopectin content and high water absorption rate without heating cold water and stirring, a large amount of steam can be generated after baking to maintain the hollowness of the product, and meanwhile, the mochi has the unique taste of being soft, glutinous and elastic. A product prepared from the mochi premixed flour can keep the soft, glutinous and chewy taste of a baked mochi bag; meanwhile, after baking, the product has a relatively large volume expansion degree and is in a hollow state.

The invention discloses an operation data analysis method and system based on e-commerce big data, belongs to the technical field of e-commerce data analysis, and aims to solve the problems that large-scale data and rapidly changing real-time data are difficult to efficiently process and hidden associated information behind the data cannot be fully mined. Comprising a data acquisition step, a data preprocessing step, a data analysis step, a result interpretation and decision support step and a data visualization step. Through a real-time data acquisition and processing technology, an enterprise can acquire latest operation data almost without delay, so that market changes and user behaviors are quickly responded, manual intervention is reduced through automatic data acquisition, preprocessing and analysis processes, the risk of human errors is reduced, meanwhile, the data processing speed is increased, and the user experience is improved. Therefore, enterprises can obtain valuable insights more quickly, and the operation efficiency and the response speed are effectively improved.

The utility model discloses a portable fruit and vegetable monitor, this portable fruit and vegetable monitor includes: near infrared spectrometer, camera, processing plant and display device, near infrared spectrometer is used for emitting light to fruit and vegetable, and collects the spectral data of fruit and vegetable reflection or projection, camera is used for gathering the image of fruit and vegetable, processing plant is connected with camera and near infrared spectrometer communication respectively, and processing plant is used for determining the internal information of fruit and vegetable based on spectral data, determines the external information of fruit and vegetable based on image, and display device is connected with processing plant communication, and is used to show internal information and external information. Through the mutual cooperation of camera and near infrared spectrometer, utilize visual technology and spectral analysis technology to carry out nondestructive testing to fruit and vegetable, make the selection process of fruit and vegetable more efficient, convenient and accurate. And, reduce the personnel and fruit and vegetable contact, ensure the quality and safety of food.

The invention relates to the technical field of energy storage operation monitoring analysis, and particularly discloses a novel energy storage operation monitoring analysis method based on multiple application scenarios, and the method comprises the steps: obtaining an energy storage operation state reference evaluation value and an energy storage operation state deviation evaluation value through comparison, carrying out the analysis of an energy storage operation power grid state, and obtaining a power grid state evaluation value, analyzing the energy storage operation battery state to obtain a battery state evaluation value, judging whether the energy storage operation state needs to be optimized or not, comparing to obtain an energy storage operation state initial optimization scheme corresponding to the energy storage operation state needing to be optimized, analyzing the user side evaluation state, judging whether the energy storage operation state needs to be subjected to secondary optimization or not, and judging whether the energy storage operation state needs to be subjected to secondary optimization or not. According to the method, the problems of information isolation, difficulty in realizing comprehensive analysis and decision support and insufficient consideration of user side data caused by incapability of effectively integrating data from different sources in a traditional method are solved, the overall performance of the system is favorably improved, and a guarantee is provided for safe and stable operation of the system.

The application provides a kind of intelligent question and answer matching method, device, terminal and storage medium, it is related to artificial intelligence technical field, by according to user request data to the preset question and answer knowledge base is recalled, obtains candidate data;User request data and candidate data are input into precision sorting model and obtain full quantity difference vector;Key mutual information text feature is input into key mutual information auxiliary model and obtains key word difference vector;According to full quantity difference vector and key word difference vector, obtain the response data corresponding to user request data, solve the problem that the similarity between the text calculated by the traditional intelligent question and answer matching method is low in accuracy, affect the intelligent question and answer matching effect, by key mutual information auxiliary model, the key mutual information of request text and candidate text is fused, can make the response data obtained more in line with user's expectation and demand, realizes the convenience and real-time of intelligent question and answer in different complex scenarios.

The invention relates to an air conditioner control method and device, an air conditioner and a storage medium. The method comprises the steps that a first temperature value and a second temperature value are obtained; wherein the first temperature value is a temperature value set by a user, and the second temperature value is an indoor environment temperature value; under the condition that the absolute value of the difference value between the first temperature value and the second temperature value is smaller than a preset absolute value threshold value, a compressor of the air conditioner is controlled to stop; after a compressor of the air conditioner is shut down, whether a user is in a sleep state currently or not is judged; under the condition that the user is in the sleep state at present, the air conditioner is controlled to operate in a sleep operation mode; wherein in the sleep operation mode, the compressor of the air conditioner is controlled to be started for operation after the compressor of the air conditioner is shut down for preset time. Through the technical scheme provided by the embodiment of the invention, the comfort of the user during sleeping is ensured, and the technical problem that the comfort of the user during sleeping is poor in a temperature point control mode is solved.

The invention provides a system and a method for dynamically merging interaction points in a distribution ecosystem. The method involves integrating a plurality of communication contacts between distributors, dealers, end users, retailers, and vendors into a unified interactive interface. The interface enables end-to-end partner lifecycle management, system data collection, analysis using advanced statistical algorithms, deployment of artificial intelligence and machine learning algorithms, and continuous updates based on user feedback. The system includes modules for communication integration, merging, lifecycle management, data collection, data analysis, and artificial intelligence. According to the method and system disclosed by the invention, supply chain operation can be enhanced, actionable insights can be generated, and personalized user experience is provided, so that business growth is finally promoted and efficiency is improved.

The present invention relates to the field of big data push processing technology, and in particular to a charging pile data push method and system. The method comprises the following steps: obtaining urban geographic traffic data; using urban geographic traffic data to analyze the regional distribution of charging piles, and obtaining regional distribution data of charging piles; extracting charging pile usage history data according to the regional distribution data of charging piles, and obtaining charging pile usage history data; extracting charging pile usage preference features from the charging pile usage history data according to the regional distribution data of charging piles, and obtaining charging pile usage preference feature data; mining user charging habits from the charging pile usage preference feature data, and thus obtaining regional user charging habit data. The present invention not only meets the goal of charging pile data push by pushing charging pile data for target users who may have charging needs without involving user privacy, but also realizes highly personalized services under the premise of protecting user privacy.

Methods, systems, and computer-readable media include receiving requests for digital components from a user device; receiving a dataset of user-provided information about a particular product design; generating a visual representation based on the dataset that maps design factors to the geometry of a potential product design; segmenting the visual representation based on design factor values; selecting segments containing fewer than a threshold number of data points; selecting digital components; dynamically changing the presentation of the digital components from which information about the segments is solicited from the user based on the selected segments; distributing the dynamically changed digital components for presentation at the user device; obtaining feedback information from the user device about the segments containing fewer than a threshold number of data points via a feedback mechanism; and modifying design factors of a particular product design at least in part based on the feedback information.