2393 results about "Odor" patented technology

A system and method for altering the scent within a pill organizer. The pill organizer has multiple pill compartments and a scent compartment within a container housing. One or more perforated walls separate the scent compartment from the various pill compartments. A scent source that releases scent is placed in the scent compartment. The scent permeates into the various pill compartments. When a pill compartment is accessed by a user, the predominant scent perceived by the user is that of the scent source. In this manner, the user is not dissuaded from consuming pills, soft gels, tablets, gummies and / or capsules due to the odors that such items may release. The scented source can be replaced and / or renewed within the pill organizer. As such, the effectiveness of the overall product can be maintained for the life of the product.

The invention relates to the technical field of flavor customization recommendation, in particular to a flavor and flavor customization formula recommendation system and method. The method comprises the following steps: obtaining user sensory preference data and environment scene parameters, and carrying out multi-dimensional demand feature extraction to obtain a user scent demand feature set; performing raw material compatibility analysis based on the user flavor type demand feature set, and generating a basic raw material screening data set; according to the basic raw material screening data set, volatile component detection and odor molecular map construction are carried out on essence and perfume raw materials, and raw material odor molecular characteristic values are extracted; performing note synergistic effect simulation based on the odor molecule characteristic values to generate note synergistic optimization parameters; and constructing a dynamic formula model in combination with the user aroma type demand feature set and the aroma collaborative optimization parameters. According to the invention, through personalized demand analysis, scientific raw material screening, smell synergistic effect simulation and intelligent simulation feedback, the precision and personalized degree of essence and perfume customized formula recommendation are improved.

Systems, devices, and methods for disposing of refuse are disclosed. A refuse container may comprise a housing, a lid, an actuator, odor-blocking doors, a base, and an automatic door subassembly. The odor-blocking doors may mount to the housing and the lid may hingedly attach to the housing. The actuator may operatively couple to the base and the automatic door subassembly. Actuating the actuator may move the automatic door subassembly from a first position to a second position to open the lid. A user may place the refuse on the odor-blocking doors. The automatic door subassembly may then move from the second position to a third position to close the lid, from the third position to a fourth position to open the odor-blocking doors such that the refuse drops through the odor-blocking doors, and from the fourth position back to the first position to close the odor-blocking doors.

The invention relates to a rabbit meat freshness detection method based on an electronic nose technology. The volatile gas release mode of the rabbit meat under different storage conditions including temperature, humidity and time is analyzed through experiments, and key putrefying gas including dimethylamine, hydrogen sulfide and aldehydes and the concentration change trend are recognized; a metal oxide semiconductor (MOS) or an electrochemical sensor matched with the gas is screened according to the identified main decay gas, and a sensitive material means comprising a tin oxide thin film doped with platinum is optimized; a response matrix of different sensors to target gas is established through experiments, and a multi-sensor signal fusion algorithm is optimized; a temperature and humidity sensor is introduced, and environmental noise correction is performed in combination with odor signals; adopting a convolutional neural network feature extraction method to extract nonlinear features associated with the rabbit meat decay stage; docking the extracted smell features with the dynamic distribution model, and unifying the quantization dimension through a feature standardization algorithm; and correcting the predicted corruption trend in real time in combination with a smell distribution dynamic model.

The invention relates to the technical field of intelligent kitchens, and particularly discloses an intelligent kitchen cooking detection system and method based on multi-source data, and the system employs an artificial intelligence technology based on deep learning to carry out the signal analysis of a smell signal and a smoke signal collected by an electronic nose and a smoke sensor in a kitchen. Time-frequency characteristics of the smell signal and the smoke signal are captured for representation, and then the kitchen oil smoke degree is represented based on interactive fusion characteristics between the smell signal and the smoke signal, so that intelligent control of the kitchen range hood is realized. Therefore, the air speed and the running state of the range hood can be automatically adjusted according to the lampblack degree generated in the cooking process, freshness of kitchen air is ensured, and potential threats of lampblack to health of family members are avoided.

The invention relates to the technical field of intelligent health, and discloses an intelligent health middle-aged and elderly people behavior data real-time monitoring and analysis method and system, and the method comprises the steps: collecting a biological resonance signal, a gas spectrum and a sound wave signal of middle-aged and elderly people; constructing a resonance characteristic spectrum of the middle-aged and elderly people, and analyzing physiological feedback characteristics of the middle-aged and elderly people by using the resonance characteristic spectrum; constructing an odor-behavior association map of the middle-aged and elderly people, and identifying gas feedback characteristics of the middle-aged and elderly people by using the odor-behavior association map; performing frequency domain decomposition on the sound wave signal to obtain an infrasonic frequency band and an ultrasonic frequency band, identifying internal organ vibration characteristics and body surface action characteristics of the middle-aged and elderly people, and analyzing voiceprint feedback characteristics of the middle-aged and elderly people; the physiological feedback features, the gas feedback features and the voiceprint feedback features are used for conducting behavior analysis on the middle-aged and elderly people, and a behavior monitoring report is obtained. The method can improve the reliability of behavior abnormality analysis of the elderly in smart health.

The invention discloses a pet peculiar smell detection method and device and a storage medium. The pet peculiar smell detection method comprises the following steps: collecting data in a to-be-detected environment in real time through a sensor array; performing temperature compensation on the sensing signal through a weighted linear temperature compensation algorithm and a weighted adaptive whale optimization algorithm; setting a threshold value, comparing the compensated sensor signal amplitude with the set threshold value, and when any sensor signal amplitude is triggered, starting to collect sensor data with a fixed length; inputting the collected sensor data with the fixed length into a self-adaptive time convolution GSA-TCN network model based on a gating convolution kernel rarefaction strategy for classification and identification; when it is judged that the pet excretes peculiar smell, table look-up, interpolation and concentration calculation are carried out according to the maximum value of the sensor data with the fixed length, and the detection result and the concentration value of the environment to be detected are output. The pet peculiar smell can be effectively detected, a series of problems caused by the pet peculiar smell can be solved, and the application scene is wide.

The invention discloses an automatic control system and method for sludge treatment, and relates to the technical field of sludge treatment, an environment state feature vector F is collected in real time through an integrated sensor, an odor concentration prediction result vector Cpred at different time points in the future is calculated based on a dynamic odor diffusion prediction model, and then the concentration trend is predicted in combination with the prediction result vector Cpred. The decision vector D of the addition amount of the additive is dynamically adjusted, the limitation that in the prior art, addition control is conducted only depending on real-time odor concentration feedback is broken through, and the problem of addition lag is effectively solved through combination of the Gaussian plume diffusion model and the time sequence prediction method. Meanwhile, benefit index E evaluation is carried out through the adjusted concentration vector Cafter and the odor concentration change vector Gafter, so that the addition strategy is optimized based on the concentration change trend, factors such as the use cost of an auxiliary agent and the odor diffusion stability are fully considered, and the defect that the deodorization effect and the cost are difficult to balance by the addition amount in a traditional method is overcome.

The invention discloses a nanopore sensor based on insect olfactory receptor protein as well as a construction method and application thereof, and belongs to the field of biosensors. According to the invention, the insect olfactory receptor protein is used as a sensitive element to be integrated into a nanopore measurement system, so that the nanopore sensor is obtained. By measuring a nanopore current signal, the prepared sensor is applied to detection of target odorant molecules. According to the method, the recognition capability of the insect olfactory receptor protein on odorant molecules and the single molecule level detection capability of the nanopores are utilized, expensive large experimental instruments and complex experimental operation steps are not needed, and sensitive, rapid and direct detection on odorant substances can be realized.

One variation of a method includes: receiving a garment within a chamber of a kiosk; accessing a garment type and a fabric type of the garment; allocating a volume of a cleaning fluid for application on a target region of the garment, predicted to contain odorous molecules based on the garment type, based on the fabric type; dispensing the volume of the cleaning fluid onto the target region of the garment via a nozzle to modify odorous molecules in the target region of the garment and perfume the garment; articulating a steam nozzle to expel a steam jet across an interior surface of the garment, tension local regions of the garment, and locally heat regions of the garment above a transition temperature; and cooling the garment below the transition temperature to set the garment in an unwrinkled state.

To enable estimation of information about an object based on actual odor features of the object.SOLUTION: An information processing system (100) is provided, comprising: an odor measurement device (20) including a sensor chamber (60) having multiple sensor elements (31A) provided therein, and a supply mechanism (40) capable of alternately supplying a first gas and a second gas into the sensor chamber; an acquisition unit (11) for acquiring a detection signal from each of the multiple sensor elements; an extraction unit (12) for extracting feature information indicative of odor features of an object; and an estimation unit (16) for estimating object information about the object.SELECTED DRAWING: Figure 11

The invention discloses medical soap for sterilizing, relieving itching and removing acne and a manufacturing method thereof, belonging to the field of articles of everyday use. The medical soap is prepared from ingredient A, ingredient B and ingredient C, wherein the ingredient A is prepared from dandelions, folium isatidis, rabdosia rubescens and glabrous sarcandra herb; the ingredient B is prepared from radix angelicae, rhizoma typhonii, white poria, Chinese angelia root tai, radix pseudostellariae, raw milkvetch root, Chinese honeylocust fruit, red paeony root, prepared kusnezoff monkshood root, radices lithospermi, cortex dictamni, thunberg fritillary bulb, fiveleaf akebia fruit, white muscardine silkworms and solanum lyratum; the ingredient C is prepared from soap base, honey and bovine bone marrow oil. The medical soap disclosed by the invention is used for external washing or smearing after being wet by adding water in the morning and evening every day; after a person with smelly feet washes the feet, the medical soap is smeared in gaps between toes; and the medical soap is not suitable for use when the skin is damaged. The medical soap prepared by the invention is a black brown solid body, and has soap medicine odor; the medical soap can be used for nourishing the skin, is antiallergic, beautifies the features, removes acne, relieves itching, removes freckles, clearing heat and deterring sweat; the medical soap can beautify the features, whiten the skin, and remove the acne and the freckles when used for washing the face, and can deter the sweat, remove the smelly odor and treat dermatophytosis when used for washing the feet; and the medical soap has a control effect on the itching toxin which appears after mosquito bite, and has a moisturizing effect for the person having the dry skin.

The invention relates to an environment smell analysis method based on an intelligent terminal and related equipment, and the method comprises the following steps: carrying out the real-time collection of environment smell through a sensor network, obtaining an environment smell data flow, carrying out the preprocessing of the environment smell data flow, and obtaining the optimized environment smell data; performing feature extraction and decomposition on the optimized environmental odor data to obtain an environmental odor multi-dimensional vector; performing classification prediction on the environmental odor multi-dimensional vector to obtain an environmental odor prediction type; performing correlation analysis of environmental factors on the environmental odor prediction type to obtain an environmental odor-environmental factor thermodynamic distribution diagram; transmitting and analyzing the environmental odor based on the environmental odor-environmental factor thermodynamic distribution diagram through an intelligent terminal to obtain an environmental odor diffusion path and an environmental odor diffusion range, and solving the problem that a traditional method is lack of dynamic prediction capability on the odor diffusion path and range; the actual condition of odor pollution cannot be comprehensively reflected.

The invention provides an agilawood rapid lossless authenticity identification method based on microscopic imaging and an electronic nose, the method is based on an agilawood authenticity identification model of microscopic images and an agilawood authenticity identification model of smell, and the method comprises the following steps: S1, adopting a microscope and an imaging system to obtain an agilawood detection sample microscopic structure image; s2, inputting the microscopic structure image of the agilawood detection sample into an agilawood authenticity identification model based on the microscopic image; s3, according to the smell-based agilawood authenticity identification model, obtaining data of the agilawood detection sample in each sensor of the electronic nose; s4, starting an automatic mode recognition system of the electronic nose, and recognizing data of the smells of the electronic nose in 40s, 50s and 60s of the agilawood detection; the method disclosed by the invention is simple, convenient and efficient, is simple to operate, does not need to pre-treat a sample, solves the problems of subjective influence and poor repeatability during traditional artificial evaluation, and greatly improves the authenticity identification precision of the agilawood.

A microminiature insect smell induction and smell selection behavior observation device is characterized in that a smell induction device comprises a feeding chamber (1) and connecting pipes connected to the two ends of the feeding chamber (1), and the outer sides of the connecting pipes are connected with a smell storage chamber; air holes (15) are formed in the top of the feeding room (1), and a solution delivery device is arranged on the front; each connecting pipe is composed of a high-density sponge hollow sealing plug and a plastic sleeve with one end open and the other end provided with a breathable gauze element. The smell storage chamber is composed of a smell storage chamber body and a closed silica gel plug or a hollow silica gel plug, the two ends of the smell storage chamber body are open, and a breathable gauze is arranged in the center in the smell storage chamber body to prevent the trichogramma ovipositor from touching smell substances. The device is simple in structure, is suitable for smell research of trichogramma, has the advantages of high efficiency and labor saving, and can obviously improve the experiment efficiency.

The utility model relates to an experimental device for detecting learning memory of insects. The experimental device comprises a smell conveying device and a conditional training device. The smell conveying device comprises an air pump which is connected through a hose and located outside the box body, and an air filter, an air humidifier / flowmeter, a smell source chamber and a smell release pipe which are sequentially connected through the air pump through hoses, the conditioned training device is composed of an isolation chamber and an insect body fixator, the isolation chamber is of a hexahedron structure, the right face of the isolation chamber is provided with an opening, and the opening face is provided with an air outlet; the odor releasing pipe penetrates through the left side face of the isolation chamber and forms an included angle of 15-45 degrees with the bottom face of the isolation chamber, the left side, the front side, the rear side and the upper face of the isolation chamber are composed of light transparent thin plates, the bottom face is wrapped with a film, a micro-hole is formed in the center of the film on the bottom face, the insect body fixing device is located below the micro-hole of the isolation chamber, and an exhaust fan is arranged on the right side wall of the box body. The device is reasonable in structure, and can evaluate whether insects can establish the combined learning and memory ability of conditional odor stimulation and volatile compound or non-volatile food intake.

The invention relates to the technical field of code peculiar smell detection and reconstruction recommendation systems, in particular to an incremental code peculiar smell detection and reconstruction recommendation system and a method thereof.The incremental code peculiar smell detection and reconstruction recommendation system comprises a code extraction and static analysis module used for extracting a to-be-analyzed code snippet from a target project and preprocessing the code snippet to form a to-be-analyzed file; the runtime information acquisition and dynamic analysis module is used for operating the file to be analyzed in the sandbox environment, acquiring and summarizing runtime information and forming a dynamic analysis report; the learning module is used for receiving a static analysis result and a dynamic analysis report, comprehensively considering static information and an incremental model updating report, constructing vector representation of code potential features and updating an incremental learning model; and the reconstruction recommendation module is used for scoring each code snippet based on the code feature vector and an incremental learning model, recommending a corresponding reconstruction rule, and providing a more accurate peculiar smell detection result by fusing static code features and dynamic operation information.

The invention provides an AI and VR nursing method and device integrating multiple senses, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the steps that a first instruction for entering a virtual scene is received, and a subject enters the virtual scene to generate a virtual subject; the virtual scene comprises a foretaste area; receiving a second instruction that the virtual subject moves to the foretaste area in the virtual scene and moving the virtual subject to the foretaste area; receiving an instruction for a fake feeding object placed in the foretaste area, wherein the fake feeding object appears in the hand of the virtual subject; the category of the fake feeding object is recognized, and according to whether the distance between the fake feeding object and the mouth of the virtual subject in the virtual scene exceeds a threshold value or not or whether a feeding instruction is received or not, the smell spraying device receives a smell simulation instruction of the fake feeding object and starts the device to generate corresponding smell. A voice control module of the false feeding device is developed through AI, and a sniffing intention recognition algorithm is developed, so that accurate analysis and conversion of signals are realized, and the equipment intelligence is improved.

The invention belongs to the technical field of smart park management, and discloses an Internet of Things data fusion method for comprehensive management of a city-level smart park. The method comprises the following steps: constructing an odor spatial distribution model corresponding to each park, and carrying out chemical component analysis to obtain park odor characteristics of each park; comparing the park odor characteristics with a predefined normal odor baseline, and dynamically identifying abnormal odor characteristics corresponding to each park; determining a potential risk event corresponding to each park based on the abnormal odor characteristics; based on the odor spatial distribution model and the abnormal odor characteristics, reversely positioning the position of an abnormal source, and generating an odor source positioning map corresponding to each park; according to the potential risk event and the smell source positioning map, a targeted emergency response strategy is automatically generated and executed; according to the invention, a closed-loop management system from monitoring and early warning to emergency response can be formed, and the environmental risk prevention and control capability and the emergency response speed of the park are improved.

The invention discloses a big data-driven organic tea oil quality monitoring and early warning method, and relates to the technical field of tea oil quality assessment, and the method comprises the following steps: collecting tea oil smell components in real time through an electronic nose technology, and inputting the collected smell data to a data management system; the smell change coefficient, the smell level correlation index and the time sequence fluctuation index are dynamically calculated through the machine learning model, the initial stage of smell change can be accurately captured, the response time of the sensor is dynamically adjusted, and the detection precision of the abnormal period of the smell change is improved. According to the system driven by big data, the accuracy and real-time performance of tea oil quality monitoring are improved, manual errors are effectively reduced, the quality problem risk is reduced, the safety of consumers is guaranteed, and the brand reputation of enterprises is enhanced.

The utility model relates to the technical field of sponge cities, and discloses a sponge city rainwater diversion well which comprises a sewer pipe, a reset ring is fixedly connected to the inner wall of the sewer pipe, two symmetrically-arranged odor plates are arranged at the bottom of the reset ring, and the two odor plates make close contact with the bottom of the reset ring. And a filter ball is arranged on the inner wall of the middle end of the sewer pipe. According to the sponge city rainwater diversion well, through the arranged odor plate, the purposes that the odor plate is opened downwards in rainy days and reset after rainfall is finished can be achieved, the sealing effect on the sewer pipe is achieved, the situation that odor and mosquitoes escape is avoided, and through rotation of the arranged filter ball and scraping of the dirt storage box, the rainwater diversion well is more convenient to clean. And the trafficability of the filter balls can be ensured. The purpose of collecting sludge in a centralized mode at the same time is achieved, treatment by a user is facilitated, sewage pumping by the user can be facilitated through the arranged sewage pumping pipe, meanwhile, in the sewage pumping process, emission of odor can be avoided, and the living comfort of residents is improved.

A scent dispersal assembly may include an assembly container having a container interior. A scent containing insert may include a scent receptacle which is selectively deployable in a closed, sealing configuration in the container interior and extendable from the container interior of the assembly container to an open, scent dispensing-configuration. The scent receptacle may include a scent receptacle interior suitably sized and configured to contain at least one scent medium. At least one scent dispensing aperture may be provided in the scent receptacle. The dispensing aperture or apertures may communicate with the scent receptacle interior of the scent receptacle. An assembly cap may be deployable in a closed cap position to close and seal the scent receptacle interior and an open cap position to open the scent receptacle interior of the scent receptacle. A cap hinge may pivotally attach the assembly cap to the scent containing insert. The cap hinge may be configured to impart a first airtight seal between the scent containing insert and the assembly container in the closed, sealing configuration of the scent containing insert and a second airtight seal between the assembly cap and the scent containing insert in the closed cap position of the assembly cap. A hinge ring connector may connect the cap seal ring to the insert seal ring.

A method and system (400) for predicting odor of an aqueous polymer composition, such as a polymeric coating, the method comprising: analyzing characterizing the aqueous polymer composition with a detector (4013), thereby producing concentration data of volatile organic compounds in the aqueous polymer composition from the analytical characterization; inputting the concentration data to a decision tree ensemble, the decision tree ensemble configured to predict an odor intensity of the aqueous polymer composition after polymerization based on the concentration data; and outputting the predicted odor intensity of the aqueous polymer composition from the decision tree ensemble.

The invention relates to the field of smart home, and particularly provides an air purification device, method and equipment, a storage medium and a product. The device comprises a position detection module, an animal attraction module and an air purification module; the position detection module is used for detecting the real-time position of the target animal; the animal attraction module is used for sending attraction information interested by a target animal, and the attraction information comprises at least one of sound information, light information and smell information; and the air purification module is used for purifying surrounding air according to the real-time position and the attraction information. By means of the device, the effect of improving the efficiency of the air purification process can be achieved.

The utility model discloses a multi-cavity all-in-one machine which comprises a machine frame body, a plurality of independent cavities are formed in the machine frame body, a corresponding heating assembly is arranged in each independent cavity, and each heating assembly is connected with a corresponding control assembly. The rack body is movably connected with door cover assemblies corresponding to the independent cavities. The utility model provides a multi-cavity all-in-one machine, which can cook various foods in the same time, improves the efficiency and diversity of products, does not need a user to wait for a long time or cook the foods by using too many cooking electric appliances, can ensure that the phenomenon of tainting by odor is avoided, and improves the flexibility of cooking.

The invention relates to a chef robot device, which comprises a temperature sensing module, an image identification module, a smell sensing module, a central processing unit and a mechanical arm module, and is characterized in that the temperature sensing module, the image identification module and the smell sensing module respectively sense the temperature, the color and the smell of a food material in a cooking utensil; the temperature sensing unit is used for transmitting a temperature sensing signal, a food material color depth signal and an odor concentration signal to the central processing unit; the central processing unit outputs different action instructions to the mechanical arm module according to different food material states and a trajectory planning model, so that the mechanical arm module can execute a plurality of actions according to the different action instructions to complete the process of making meals; and the chef robot device can improve the food and beverage making quality through continuous learning, so that the manpower problem faced by the catering industry is solved.

The invention provides a transformer substation cable trench small animal invasion identification method, which comprises the following steps of: installing a multi-gas sensing module in a cable trench to detect odor and generate gas data, uploading the gas data to a data processing terminal by using a data transmission module, receiving the gas data by the data processing terminal to perform preprocessing and feature extraction, and transmitting the gas data to a server; and then whether small animals exist in the cable trench is judged through the intelligent identification system according to the processed gas data, and a corresponding identification result is output. According to the intelligent identification system, a deep learning algorithm is adopted, network training is carried out through a large amount of sample data, and the identification accuracy and stability are improved. Meanwhile, operation and maintenance personnel can be reminded to take corresponding protection measures according to the identification result, intelligent safety protection of the cable trench is achieved, and the safety of the cable trench of the transformer substation can be improved.

The invention discloses an intelligent management system and method for a food detection sample, and relates to the technical field of food management, and the method achieves the real-time collection and dynamic perception of multi-source smell diffusion data such as smell diffusion data through setting a plurality of data collection points in a target area of a food detection storage environment. And after the sample management center platform receives the data transmitted by each data acquisition point, high-precision alignment and dimensionless integration of the data are realized through preprocessing. The processing flow effectively eliminates the influence of sensing error, time drift and unit dimension difference, and ensures the comparability and consistency of smell data between samples. Therefore, compared with a traditional monitoring mode only depending on a single-point gas sensor, the storage smell dynamic monitoring system has the advantages that the'smell basic data set 'of the sample can be constructed in a software algorithm mode, and the storage smell dynamic monitoring system with low hardware dependence, uniform data standard and higher calculation precision is realized.

The invention provides a sniffing accurate identification eruption device and a sniffing intention-based simulation system, and relates to the field of medical apparatuses and instruments. The spraying device comprises a shell, a smell box assembly, a smell box inner sealing plate assembly and a smell box top cover (ABS). A containing space is reserved in the shell, and the smell box inner sealing plate assembly is placed in the containing space. The first side of the shell is movably connected with the smell box top cover, an opening allowing the smell box assembly to stretch into is reserved in the second side of the shell, and the smell box assembly is movably installed in the smell box inner sealing plate assembly along the opening. And the simulation system receives and analyzes the signal based on the eruption device, and starts the eruption of the odor of the corresponding odor type in the eruption device to generate the odor. The invention provides a food sniffing accurate identification eruption device which is high in response speed, high in control precision and high in adaptability, and a use method of the eruption device in a virtual reality environment.

To determine highly accurately a cause event of a smell in a toilet space.SOLUTION: An information processing system (100) includes: a smell measurement device (30) provided with a plurality of smell sensor elements with measure-able smell substances being different from one another; an estimation unit (12) for inputting a measurement signal outputted from the smell measurement device (30) and outputting an estimation result obtained by estimating a cause event of a change in a smell in a toilet space; and a determination unit (13) for determining, on the basis of a plurality of results of the estimation, the cause event of the change in the smell in the toilet space.SELECTED DRAWING: Figure 4