120 results about "Weight change" patented technology

The invention discloses a refrigeration cabinet and an operation control method of the refrigeration cabinet. A weight sensor used for detecting the weight of stored articles and a temperature sensor used for detecting the temperature of a chamber are arranged in the storage chamber of the refrigeration cabinet. When it is detected that the door body is opened, the compressor is controlled to stop running; calculating a weight change value according to the object weight detected by the weight sensor before and after the door body is opened; according to the compartment temperature detected by the temperature sensor, the temperature change rate is calculated; and after it is detected that the door body is closed, the operation state and operation parameters of the compressor are controlled according to the door opening duration of the door body, the weight change value and the temperature change rate. By the adoption of the refrigerator, door opening and closing actions, food material weight changes and compartment temperature changes can be effectively combined to control the rotating speed of the compressor, the cooling speed is increased, and the storage quality of food is improved.

The invention relates to the technical field of poultry health monitoring, and particularly discloses a poultry monitoring method and system based on the Internet of Things, and the method comprises the steps: S1, installing intelligent foot rings for all poultry, carrying out the weighing, breeding the poultry with similar weight values in different breeding regions according to a preset breeding number, pressure sensors are installed below the poultry feeders in all the breeding areas; s2, collecting body temperature information and motion information of the corresponding poultry at a preset collection frequency through an intelligent foot ring, and collecting weight information of poultry feeders in each breeding area through a pressure sensor; according to the method, the body temperature information is preliminarily monitored and analyzed, the weight change data of all the poultry feeders are analyzed through the poultry monitoring center, whether the poultry possibly getting sick exists in the breeding area or not is judged, and therefore the health state of the bred poultry can be monitored, and when the poultry has the risk of getting sick, the poultry feeders can get sick; and the patient can be found and treated in time.

The invention relates to an intelligent food taking and weighing system, belongs to the technical field of intelligent restaurants, and solves the problem of inaccurate food taking behavior recognition in the prior art. The system comprises a weighing platform used for detecting the weight change of dishes; the first camera is used for shooting a human body behavior image; the second camera is used for shooting a face image; the meal taking behavior recognition module is used for processing the human body behavior image through a key point recognition model, identifying a human body coordinate frame and key points and acquiring position information of the key points; then, according to the human body coordinate frame, the position information of the key points and the weight change of the dishes, food taking behaviors are recognized; the identity recognition module is used for acquiring identity information of a meal taker when only one meal taking behavior is recognized; and the binding module is used for binding the weight change of the dishes as the meal taking weight with the identity information of the meal taker when only one meal taking behavior is identified. According to the system, the meal taking behavior can be accurately identified, and false alarm of multi-person meal taking is avoided.

The invention relates to the technical field of child health assessment, in particular to a child body fat rate adaptive prediction method and system based on trajectory feature collaboration.The method comprises the following steps that a child physical examination data set is obtained, height and weight changes are analyzed, difference ratio screening samples are calculated, waistline change slope assessment stability screening samples are extracted, and a child body fat rate prediction result is obtained; calculating a sign proportion difference to adjust a training weight, identifying an age group residual difference to adjust model parameters, and adjusting a prediction slope generation result in combination with a body fat trend direction and a body weight trend direction. According to the method, samples are screened through height and weight tracks, abnormal data are eliminated in combination with fluctuation continuity of waistline change slope, a feature weighting coefficient is set according to proportion deviation of height, weight and muscle amount, and a response coefficient is adjusted through a distance relation between a grouping mean value of age group residual errors and a concentration interval. And the change path is judged by utilizing the consistency of the body fat and body weight prediction trend, so that non-trend prediction offset is avoided, and the stability of the model and the sample adaptability are improved.

The present invention provides a food ripening control method and a refrigerator, the food ripening control method comprising: controlling an electric damper to open, controlling a humidifying device to start, controlling a variable frequency fan to start, obtaining an initial weight of the food to be ripened and a first weight after a first preset time, and calculating a weight change rate; comparing the weight change rate with a preset weight change rate, and adjusting a humidity value and a wind speed in a ripening chamber according to the comparison result; obtaining a second weight of the food to be ripened at a second preset time interval, and calculating a water evaporation rate according to the second weight and the initial weight; and adjusting the humidity value and wind speed in the ripening chamber according to the evaporation rate using a preset module adapted to the evaporation rate; judging the thickness of the food by obtaining the weight change rate within a preset time, and then adjusting the wind speed and humidity, and adjusting the wind speed and humidity at different ripening stages of the food to solve the problem that adjusting the wind speed according to the water evaporation rate easily causes the food to dry too fast or too slow, thereby affecting the taste of the food.

The invention belongs to the technical field of health management, and particularly relates to a body weight prediction system based on multi-modal food data. The body weight prediction system comprises a unified diet feature learning module based on CLIP, a time sequence prediction model and a diet-body weight loss calculation module. According to the invention, the influence of diet intake on weight prediction is explored, and the change trend of future weight is predicted by using short-term weight change and diet records. According to the method, unified features of historical food data are extracted through a diet feature learning module, and then the features and a historical weight change sequence are spliced to serve as input of a time sequence prediction model; the relation between diet intake and weight change is established through a diet-weight loss training diet feature learning module and a time sequence prediction model. The system is high in accuracy and adaptability for weight prediction; the method can be applied to the fields of health and medical treatment for personalized health management.

The invention relates to an intelligent food taking and weighing method, belongs to the technical field of intelligent restaurants, and solves the problem of inaccurate food taking behavior recognition in the prior art. The method comprises the steps that dishes are arranged on a weighing table on a dining table, and the weight change of the dishes is detected through the weighing table; acquiring a human body behavior image by adopting a behavior camera, and shooting a human face image by adopting a human face camera; inputting the human body behavior image into a key point identification model for processing, and identifying a human body coordinate frame and key points; the key points comprise human limb joint points and key points of tableware; according to the human body coordinate frame, the position information of the key points and the weight change of the dishes, food taking behaviors are recognized; if only one meal taking behavior is recognized, identity information of a meal taker is obtained according to the human body coordinate frame and the face image of the meal taking behavior, and then the meal taking weight and the identity information of the meal taker are bound for settlement. The technical effect of accurately recognizing the meal taking behavior is achieved, and false alarm of multi-person meal taking is avoided.

The invention discloses a rolling, kneading and pickling device for processing prefabricated conditioning meat products, and belongs to the technical field of meat product processing. A feed pretreatment structure; a gravity sensing adjusting assembly; a roller; and a rotating motor 1. The weight change of meat products can be sensed through the gravity sensing and adjusting assembly, the stirring force of the stirring shaft is automatically adjusted through the synergistic effect of the sensing assembly and the adjusting assembly, the stirring force is automatically increased or decreased according to the weight of the meat products, it is ensured that the meat products of different weights and batches can be properly stirred, and the stirring efficiency is improved. According to the pickling device, the pickling uniformity and adaptability are improved, the pickling requirements of meat products of different types and specifications are better met, and the problem that in the rolling and kneading process of meat products in the current market, due to the influence of factors such as the weight and shape of the meat products, insufficient pickling or excessive pickling is likely to happen is effectively solved. The pickling requirements of different batches and different types of meat products are difficult to meet.

The invention discloses a batch feeder and a control method, and relates to the technical field of feeding devices, the batch feeder comprises a rack and a material storage tank, the rack is provided with a weight sensor and a supporting block, and the material storage tank is movably connected with the rack, so that the weight change of the material storage tank in the feeding process is measured, and quantitative feeding is realized. The supporting block is provided with a first sealing piece arranged on the periphery of the flow divider in a sleeving mode, it can be ensured that the storage tank and the flow divider can move relative to each other, vibration can be prevented from being transmitted to the storage tank and the weight sensor, and accurate measurement is achieved. The first sealing piece can achieve sealing, and air leakage and material leakage are avoided. The flow divider is provided with an air inlet channel, the air inlet channel is communicated with the flow dividing cavity of the flow divider, and the draught fan can inject high-pressure airflow into the air inlet channel so as to remove agglomerated and blocked materials and relieve the material blocking condition. The invention further comprises a control method, according to the method, whether material blockage occurs or not is judged by detecting the weight change rate of the material storage tank, continuous feeding operation can be ensured through blowing of the back flushing device after material blockage, and good feeding efficiency is kept.

The invention discloses a wearable health monitoring device, a control method thereof and a weight change prediction method, and belongs to the technical field of wearable equipment and health monitoring. The wearable health monitoring device comprises a main body, at least five supporting legs, a control module, a data acquisition module and a heating module, an attaching layer is arranged on the side, close to the skin, of the body, the attaching layer is made of a temperature-sensitive material with the viscosity changing along with the temperature, and the control module is used for controlling the heating module to work and adjusting the temperature of the attaching layer, so that the viscosity is adjusted. According to the wearable health monitoring device, dynamic viscosity adjustment can be achieved, wearing stability and comfort are both considered, the problem of skin sensitivity caused by long-term use of a traditional gel patch is avoided, collaborative analysis can be conducted on multi-dimensional physiological data such as the skin moisture content and the body fat layer thickness, and the weight change can be accurately speculated.

The invention provides a dynamic weight distribution updating method and system for pet health data, and relates to the technical field of data processing, and the method comprises the steps: 1, obtaining pet identity information, static attributes and dynamic physiological indexes through an Internet of Things device; 2, calculating the physiological age of the pet according to the static attribute, calculating the physiological age, matching a preset variety growth model, and outputting a current life cycle stage identifier and a corresponding standard cycle parameter; and step 3, according to the current life cycle stage identifier, distributing initial weight coefficients for three health monitoring dimensions of weight change, an insect expelling cycle and a bathing cycle. According to the method, data are collected through the Internet of Things, and weights are dynamically allocated and adjusted in combination with the variety growth model, so that accurate monitoring of pet full-life-cycle health indexes, personalized maintenance scheme generation and continuous model optimization are realized, and the intelligent level of health management is improved.

The application discloses application of a small-molecule drug indisulam in preparation of a drug for treating autoimmune diseases, and further verifies safety of the molecule, long-term continuous use of the drug does not cause weight loss of animals, and weight change has no difference with normal control mice; tissue sections of multiple organs show that the drug has no obvious toxic side effects on each organ. In addition, the drug can promote differentiation of regulatory T cells, but does not affect functions of other immune cells. Therefore, the drug is used for treating autoimmune diseases, and good effect is found.

Methods and systems for tracking an object comprise a horizontal surface upon which objects are to be placed, a weight sensor disposed on one side of the horizontal surface, and a processor in communication with the weight sensor. The processor is adapted to detect a change in weight measured by the weight sensor, to associate the detected weight change with an identified object and with a location on the horizontal surface, and to confirm whether a cause of the weight change at the location on the horizontal surface corresponds to a proper handling of the identified object.

To provide a weight change system capable of making a driver operate carefully depending on the tire wear of an industrial vehicle.SOLUTION: A weight change system S comprises a weight change unit, a wear determination unit, a weight determination unit, and a change commanding unit. The weight change unit changes at least one weight of an accelerator pedal, a brake pedal, and an accelerator lever of an industrial vehicle 1. The wear determination unit determines the wear degree of the tire 10a of the industrial vehicle 1. The weight determination unit determines at least one weight of the accelerator pedal, the brake pedal, and the accelerator lever depending on the wear degree of the tire 10a. The change commanding unit controls the weight change unit according to the determination by the weight determination unit and changes at least one weight of the accelerator pedal, the brake pedal, and the accelerator lever.SELECTED DRAWING: Figure 1

The present application discloses a method for testing the hair drying speed of a drying device and a testing system thereof. The testing method comprises: step 1: providing a sample hair soaked in liquid until the weight of the sample hair is a preset first weight; step 2: blowing the sample hair through a drying device to obtain the change of the weight of the sample hair over time during the blowing process, and the drying time consumed for the weight of the sample hair to reach a preset second weight, wherein the second weight is less than the first weight; and step 3: generating an evaluation model for characterizing the hair drying speed of the drying device according to the drying time and the change of the weight of the sample hair over time during the blowing process. The present application records the change of the weight of the sample hair over time during the blowing process, and generates an evaluation model for characterizing the hair drying speed of the drying device according to the drying time and the change of the weight of the sample hair over time during the blowing process. In this way, the hair drying speed at different moments during the blowing process can be obtained.

The application discloses a material blocking pre-judgment and collaborative control method and system for a multi-scale collaborative batching system. The method comprises the following steps: in the unloading process, real-time weight signals of each weighing sensor are acquired and real-time gravity center coordinates of the material are calculated; the gravity center moving speed is calculated; the weight change amount of the feeding end and the unloading end is acquired; when the gravity center speed continuously falls below the threshold and the weight change meets the abnormal condition, a material blocking pre-judgment signal is generated and all batching scales are stopped; after the automatic execution of the material blocking recovery operation and the determination of the troubleshooting, the scales are started in turn from long to short according to the remaining distance of the material front end of each scale from the unloading end to restore the collaborative unloading. The application accurately pre-warns in the early stage of material blocking and globally collaboratively stops through the double criteria of gravity center kinematics and regional weight difference, effectively guarantees the batching accuracy, and is especially suitable for high-reliability and high-precision industrial batching scenes.

This invention discloses a data processing method and a flue gas desulfurization system, applied to a flue gas desulfurization system. The method includes: acquiring the average weight of a target material over a first preset time period; calculating the weight change rate of the target material based on the average weight; and determining the feeding speed of the target material in the flue gas desulfurization system based on the weight change rate and the current feeding and discharging status of the flue gas desulfurization system. This invention accurately determines the feeding speed of the material by acquiring the average weight and change rate of the target material in real time over a preset time period, combined with the operating status of the flue gas desulfurization system. This method solves the problem of weight data fluctuations caused by environmental vibrations and changes in equipment operating status, improves the accuracy of feeding flow calculation, and ensures the continuity and efficiency of the desulfurization process by accurately monitoring the feeding amount of quicklime, while avoiding reduced desulfurization efficiency and increased operating costs due to inaccurate data.

The present application belongs to the technical field of health management, and specifically relates to a weight prediction system based on multi-modal food data. The weight prediction system comprises a unified dietary feature learning module based on CLIP, a time series prediction model, and a dietary-weight loss calculation module. The present application explores the influence of dietary intake on weight prediction, and predicts the future weight change trend by using the weight change in a short period and the dietary record. The present application firstly extracts the unified features of historical food data through the dietary feature learning module, and then splices the features and the historical weight change sequence to serve as the input of the time series prediction model; the dietary feature learning module and the time series prediction model are trained through dietary-weight loss to establish the connection between dietary intake and weight change. The present application system is high in accuracy and strong in adaptability for weight prediction, and can be applied in the fields of health and medical treatment to conduct personalized health management.

This invention discloses a rapid screening method for *Abalone simonii* with high feed efficiency. This rapid screening can be achieved through either method I) or II). Method I) involves selecting 12-month-old *Abalone simonii* individuals for constant-temperature culture and subjecting them to 7 days of starvation stress. The specific weight loss rate of each individual after 7 days of starvation stress is calculated, and the 50% with the smallest specific weight loss rate are considered individuals with high feed efficiency. Method II) involves selecting 12-month-old *Abalone simonii* individuals for constant-temperature culture and subjecting them to 10 days of starvation stress, followed by resumption of feeding for 28 days. Weight changes are recorded, and the weight gain of each individual from day 14 to day 28 after resumption of feeding is calculated. The 50% with the largest weight gain are considered individuals with high feed efficiency. The screening method provided by this invention can accurately and rapidly obtain *Abalone simonii* individuals with high feed efficiency, shortening the evaluation cycle and significantly reducing the cost of trait evaluation.

The invention discloses a refrigerator. Relates to the technical field of household appliances. The refrigerator comprises an inner container, a vacuum drawer, a weight detection part, a camera module, a magnetic field device and a control part. The control part is configured to obtain the weight change of the food material in a first preset time period; when the weight change of the food material is greater than a first preset value, obtaining the type, weight and volume of the food material in the accommodating cavity; determining a magnetic field intensity interval of the vacuum drawer according to the type, weight and volume of the food materials; when the weight change of the food material is smaller than or equal to a first preset value, the type of the food material in the containing cavity is obtained, and the weight change of the food material in a second preset time period is obtained; determining the fresh state of the food material according to the weight change of the food material in the second preset time period; according to the fresh state of the food materials, the vacuum degree interval and the magnetic field intensity interval of the vacuum drawer are determined; according to the refrigerator, the refreshing time of the food materials is prolonged, waste of the food materials is reduced, and convenient food material management experience is provided for a user.

The utility model relates to the technical field of refrigeration equipment, and discloses a refrigerator. The refrigerator comprises a refrigerator body, a refrigerator door and a refrigerator door, the condenser is arranged in the defrosting chamber; the weight detection tray is arranged in the thawing chamber and used for detecting the weight of the to-be-thawed articles in the thawing chamber; and the control device is used for controlling the condenser to defrost the to-be-defrosted article in real time according to the weight of the to-be-defrosted article detected by the weight detection tray. According to the application, the condenser is arranged in the thawing chamber, the food is thawed by utilizing the temperature of the condenser, meanwhile, the tray for placing the to-be-thawed object is set as the weight detection tray, and the control device controls the condenser to perform accurate thawing in real time according to the weight change of the to-be-thawed object on the weight detection tray.

The invention discloses a live pig feeding fine management device and system, and relates to the technical field of live pig breeding, the live pig feeding fine management device comprises a pig trough and a readable electronic ear tag, the pig trough is provided with a channel, and a first electronic weighing device is arranged below the channel; according to the invention, through readable electronic ear tag identification, automatic feeding control and double-scale synchronous metering, the identity, accurate feed intake and weight data of pigs are automatically collected when the pigs eat each time, a continuous individual data link is formed, and on the basis, real-time monitoring of the feed intake interval, automatic early warning of abnormal feed deprivation and early detection of diseases can be realized; according to long-term accurate feed conversion ratio and daily weight gain data, a quantitative basis is provided for scientific breeding of high-yield breeding pigs, the non-pregnant period is intervened and effectively shortened in time by continuously analyzing the weight change trend of breeding sows and intelligently assisting early pregnancy diagnosis, and finally, the system changes traditional empirical group management into traditional group management. And the system is upgraded to a data-driven and individualized intelligent management closed loop.

The invention discloses a part weight change evaluation model construction method and a weight change evaluation method, and the method comprises the steps: obtaining and determining the size data of a target size parameter corresponding to a target part in a plurality of vehicle types, and obtaining the weight data of the target part in the plurality of vehicle types, and establishing a weight change evaluation model corresponding to the target part based on the size data and the weight data, wherein the weight change evaluation model is used for evaluating the weight variation of the target part based on the size variation of the target size parameter. According to the embodiment of the invention, based on the thinking of big data, the weight change evaluation model of the target part is constructed according to the related data of various vehicle types, and the important variable quantity of the target part in the vehicle can be accurately and quickly determined based on the weight change evaluation model, so that the weight variable quantity of the vehicle can be determined; therefore, the problems of low precision and low efficiency of the existing evaluation method are effectively improved.

The invention relates to the technical field of clothes treatment, in particular to a control method of clothes care equipment and the clothes care equipment, and aims to solve the problem that an existing clothes care cabinet is poor in drying uniformity. The control method of the clothes care equipment comprises the following steps: enabling a drying device to operate; the real-time weight change rate X of the clothes on the clothes hanging component is obtained; when the real-time weight change rate X is reduced to a first preset weight change rate, entering an atomization mode; the step of executing the atomization mode specifically comprises the steps that the number of areas S, needing to be wetted, of the clothes is determined based on the first preset weight change rate; wherein a plurality of areas S are sequentially arranged from top to bottom; and the atomization device is controlled to convey atomized water to the area S needing to be wetted. In the process of drying the clothes, different areas of the clothes are wetted according to the change of the weight of the clothes, so that the humidity balance of the clothes is kept, the clothes can be prevented from wrinkling due to local overheating, and the drying uniformity of the clothes is improved.

The invention provides a pellet feed precise feeding method and system based on animal information feedback, and relates to the technical field of animal feeding. The method comprises the following steps: when an animal reaches an entrance of a feeding area, determining weight information of the animal fed this time through a weighing sensor, and storing the weight information; after the animal arrives at the feeding point, collecting animal identity information according to the ear tag information of the animal; determining the target feeding amount of the feeding, and performing quantitative feeding; determining the weight of the residual feed for feeding this time; determining the actual feed intake of the feeding; and updating the animal identity information. According to the invention, the target feeding amount can be determined based on the animal weight information and the animal identity information, and quantitative feeding is carried out, so that the animal identity information is updated. According to the animal feeding method, the target feeding amount can be dynamically adjusted according to the ingestion condition and weight change of animals, the feed ratio is optimized in an auxiliary mode, the target feeding amount and the accuracy and pertinence of feed ratio determination are improved, and the animal feeding efficiency is improved.

The application discloses a kind of trajectory identification and timing coupling-based dietary behavior analysis method and system, and relates to the technical field of intelligent perception and health monitoring.In order to solve the problem that the prior art cannot accurately distinguish between eating, spitting out residues, discarding, and picking up, leading to systematic bias in the calculation of intake, the application obtains information about the intake;obtains the running trajectory of the object to be identified;obtains the weight change timing data of the first and second plates;identifies the running category of the object to be identified based on the running trajectory;time-couples the information about the intake, the running category of the object to be identified, and the corresponding weight change timing data, thereby obtaining the intake data of the intake.The application is mainly used for accurately calculating the intake during meal.

The present invention relates to an intelligent meal picking and weighing method, which belongs to the field of intelligent restaurant technology and solves the problem of inaccurate identification of meal picking behavior in the prior art. The method of the present invention comprises: placing dishes on a weighing table on the dining table, and detecting the weight change of the dishes by the weighing table; using a behavior camera to obtain human behavior images, and using a face camera to shoot human face images; inputting the human behavior images into a key point recognition model for processing, and identifying the human coordinate frame and key points; the key points include the key points of human limb joints and tableware; identifying the meal picking behavior based on the position information of the human coordinate frame and key points and the weight change of the dishes; if only one meal picking behavior is identified, the identity information of the person picking up the meal is obtained based on the human coordinate frame and face image of the person picking up the meal, and then binding the meal picking weight with the identity information of the person picking up the meal for settlement. The technical effect of accurately identifying the meal picking behavior is achieved, and false alarms of multiple people picking up meals are avoided.

The invention discloses a batch feeder and an anti-blocking control method, and relates to the technical field of feeding devices.The batch feeder comprises a rack and a storage tank, the rack is provided with a weight sensor and a supporting block, and the storage tank is movably connected to the rack, so that the weight change of the storage tank in the feeding process is measured, and quantitative feeding is achieved. The supporting block is provided with a first sealing piece arranged on the periphery of the flow divider in a sleeving mode, it can be ensured that the storage tank and the flow divider can move relative to each other, vibration can be prevented from being transmitted to the storage tank and the weight sensor, and accurate measurement is achieved. The first sealing piece can achieve sealing, and air leakage and material leakage are avoided. The invention further comprises an anti-blocking control method, according to the anti-blocking control method, whether material blocking occurs or not is judged by detecting the weight change rate of the material storage tank, continuous feeding operation can be ensured through blowing of the back flushing device after material blocking, and good feeding efficiency is kept.

The application discloses a kind of control method, medium and control system of feeder, method includes steps: according to the material capacity of feeder, set multiple weight intervals;In the sampling period of one weight interval, obtain the weight of material of feeder, calculate the weight change rate in unit time, obtain multiple groups of weight change rate data corresponding to weight interval;Data fitting is carried out to multiple groups of weight change rate in the same weight interval, and the product of the weight change rate and the percentage of motor speed obtained by fitting is used to obtain the maximum feeding capacity parameter in the corresponding weight interval;Record the retention time and maximum feeding capacity parameter of each weight interval;According to the weight interval corresponding to the real-time material weight of feeder, maximum feeding capacity parameter and retention time, adjust motor speed.The application has the advantages of high feeding precision, high feeding efficiency and the like.

The present invention provides a kneader equipped with a roving mechanism that allows for the quantitative supply of fiber bundles, regardless of the kneading conditions, during the kneading of a plasticized thermoplastic resin and a fibrous filler. [Solution] A kneader that controls the screw rotation speed of the kneader based on the weight change of the roving. Preferably, the weight change of the roving is measured using a loss-in-weight formula to control the dispensing of fiber bundles and the supply of thermoplastic resin. Preferably, the weight decrease of the fiber bundles of the roving is linked to the supply of thermoplastic resin to the kneader.