250 results about "Health maintenance" patented technology

To enable provision of assistance in maintaining the health of a particular person while reducing food loss.SOLUTION: A control system disclosed herein comprises an input unit for receiving user input, a processing unit for performing specific processing using a sentence generation model for generating a sentence according to input data, and an output unit configured to control an electronic device to output a result of the specific processing. The processing unit determines whether the user input includes a request for creating a menu for a particular person or not and, when affirmative, acquires ingredient stock information and health information of the particular person and controls the specific processing using an output of the sentence generation model that uses a text instructing creation of a menu according to the ingredient stock information, the health information, and information obtained from the user input as the input data.SELECTED DRAWING: Figure 4D

The invention relates to the technical field of oral implantation monitoring, and discloses a monitoring method for analyzing oral implantation health based on using images. The method comprises the following steps: acquiring an optical image data sequence of an oral implanting region by adopting optical scanning equipment, constructing a three-dimensional oral tissue model containing gingival contour features and an implant position, and identifying actual position distribution information of an implant in gingival tissue; and extracting an implant health index set comprising an implant marginal definition value, a surrounding gingival red and swollen area proportion and a gingival atrophy degree value. When any index exceeds a preset health threshold interval, abnormal early warning information is generated, scanning parameters are dynamically adjusted, and images are collected again for iterative monitoring. According to the method, dynamic and accurate monitoring of oral implant health can be realized, health abnormity of the implant can be found in time, and support is provided for long-term health maintenance of the implant.

The invention discloses an energy storage battery fault monitoring management method and system based on big data, and the method comprises the steps: calculating the change rate of a battery monomer between each window and an adjacent window, and recognizing an energy output inconsistent time period; identifying adjacent monomer power compensation behaviors in the energy output inconsistent time period; the load allocation rate, the deviation ratio and the heat consumption change amplitude of the compensated single battery in the compensation process are obtained; predicting the damage probability of the single battery in a plurality of periods in the future, and generating a fault probability curve; constructing a masked fault identification model, and identifying the fault state of the single battery; evaluating the fault level of the single battery, and constructing a fault level index table; and evaluating the validity of the fault early warning and maintenance strategy, and updating the fault early warning strategy and the health maintenance strategy. Through the technical method provided by the invention, accurate monitoring and intelligent management of the energy storage battery pack can be realized, the accuracy and timeliness of battery fault early warning are remarkably improved, and efficient and safe operation of an energy storage system is ensured.

The invention relates to a valve health degree monitoring and maintaining method and system based on an electric actuator, and belongs to the technical field of mechanical control and automation. The method comprises the steps that valve maintenance data of the electric actuator are obtained, a position-pressure bimodal grid is constructed based on the valve maintenance data, pressure testing is conducted on a valve, torque-opening curves in the opening and closing processes are analyzed, and valve health degree data are obtained; an electric execution monitoring model is constructed, a valve torque curve is obtained, maintenance information labels are added to grid nodes according to the valve maintenance information through a labeling binding method, and a valve health maintenance scheme is generated; for the pressure test, identifying switching time delay, hysteresis and leakage data in a valve torque profile and an operation log through a curve feature extraction method to obtain a valve scheme optimization strategy; and executing the maintenance scheme optimized by the valve scheme optimization strategy, and automatically outputting the updated valve health maintenance scheme based on a recursive execution feedback method.

The invention relates to a low-molecular-weight chondroitin sulfate composition as well as a preparation method and application thereof, and aims to solve the problems that a chondroitin sulfate product obtained by a single degradation mode is limited in function and difficult to synergistically regulate intestinal barriers. The preparation method comprises the following steps: firstly, preparing LMCSO through oxidative degradation; secondly, preparing LMCSH through hydrothermal degradation; and finally, the LMCSD is prepared through deamination degradation. Finally, the obtained LMCSO, LMCSH and LMCSD are compounded according to the weight ratio of 5: 3: 2, and the low-molecular-weight chondroitin sulfate composition LMCSs-C is obtained. The composition LMCSs-C prepared by the invention can synergistically improve the intestinal barrier function through multiple action mechanisms, not only shows an obvious intestinal barrier repair effect in vitro and animal models, but also has good biocompatibility and safety, and shows a wide application prospect in intestinal health maintenance and related disease intervention.

The invention relates to the technical field of combination of an extended reality (XR) technology and health culture, and discloses an XR-augmented-reality-based health culture immersive interaction system and method, and the system comprises a health scene dynamic generation module which is used for generating a health scene through multi-source data fusion modeling and an AI environment adaptive engine. The acquisition of natural landscape three-dimensional data, the reconstruction of a historical health scene and the real-time adjustment of virtual environment parameters according to the physiological data of the user are realized; the invention discloses a personalized XR healing system. According to the XR augmented reality-based health culture immersive interaction system and method, virtual environment parameters, such as illumination and sound, can be adjusted in real time according to physiological data of a user, the real-time adjustment is beneficial to providing a more comfortable and suitable health environment for the user and improving the health efficiency, and through an intelligent technology, the health culture can be effectively improved. According to the invention, comprehensive management and service of the user health maintenance process can be realized, manual intervention can be reduced through intelligent management, and the convenience and efficiency of health maintenance service are improved.

The invention discloses a composition for promoting cartilage repair and maintaining joint health as well as a preparation process and application thereof, and relates to the technical field of functional foods. The composition is prepared from the following components in parts by weight: 21.1 to 90 parts of a multi-protein complex, 0.1 to 3 parts of cherry powder, 0.01 to 2 parts of N-acetylglucosamine, 0.01 to 2 parts of radix puerariae powder, 0.1 to 1.5 parts of a calcium compound and 0.01 to 0.2 part of rhizoma curcumae longae, the multi-protein compound is prepared from 0.1 to 10 parts of ray collagen peptide, 1 to 30 parts of bone collagen peptide powder and 20 to 50 parts of fish collagen peptide. The composition provided by the invention can promote cartilage repair, achieves the purpose of daily maintenance of joint health, and has a good application prospect.

The invention relates to the technical field of intelligent electromechanical equipment management, and discloses an intelligent electromechanical equipment maintenance reminding system which comprises a real-time data acquisition module, an equipment health state estimation module, an optimal control module, a robust optimization module, a multi-target optimization module and an execution and feedback module. The method comprises the following steps: acquiring running state data of equipment in real time through a sensor; estimating a current health state of the equipment and predicting a future trend; calculating an optimal maintenance period by adopting an optimal control algorithm based on an estimation result of the equipment health state; in the equipment operation process, disturbance and uncertainty are considered, and robust optimization adjustment is carried out on the maintenance period; and comprehensively considering a plurality of optimization targets. According to the invention, the operation state data of the equipment is collected in real time through the sensor, and the multi-objective optimization method is combined to balance the health maintenance, the fault risk and the maintenance cost, so that the technical effect of dynamically optimizing the maintenance period is achieved.

The invention relates to the field of intelligent health management, and provides a personalized health maintenance suggestion generation system and method based on image processing, and the method comprises the steps: firstly responding to a shooting request of a user, guiding the user to collect tongue image data, then carrying out the quality evaluation of the collected image data, carrying out the collection again if the quality is not qualified, and continuing the subsequent processing if the quality is qualified. The method comprises the following steps of: obtaining qualified tongue image data, preprocessing and standardizing the qualified tongue image data to obtain standardized image data, extracting tongue visual features from a standardized image, inputting the tongue visual features into an inference engine based on a knowledge base to generate personalized health preserving suggestions, and finally displaying the generated health preserving suggestions to a user through a software interface. In this way, the accuracy of image feature extraction and physique analysis can be ensured, and then the individual suitability of health preserving suggestions can be improved.

The present disclosure provides alert implants that comprise a medical device and an implantable reporting processor (IRP), where one example of such a medical device includes a component for a total knee arthroplasty (TKA) such as a tibial extension, a femoral component for hip replacements, a breast implant, a distal rod for arm or leg breakage repair, a scoliosis rod, a dynamic hip screw, a spinal interbody spacer, and tooling and methods that may be used to form the alert implant, and uses of such alert implants in the health maintenance of patients who receive the implant.

The invention relates to the technical field of thermal therapy cabins, in particular to a movable thermal therapy cabin and a using method thereof.The movable thermal therapy cabin comprises a cabin body, an access opening is formed in one side face of the cabin body, a door plate is hinged to the interior of the access opening, a bed board is installed at the bottom in the cabin body, and a plurality of anti-acidification biological bricks are laid on the surface of the bed board; the method has the following beneficial effects that acid-resistant protection and cell repair are synchronously promoted, and a closed-loop health maintenance effect is formed.

The invention relates to the field of hygienic products, in particular to a bacteriostatic non-menstrual-period panty liner based on a sustained-release capsule and a preparation method thereof.It is found through screening that matrine and lactein have the synergistic bacteriostatic effect, the bacteriostatic composition is prepared into a sustained-release microcapsule, long-acting sustained release of antibacterial components is achieved, and the antibacterial effect is good. The sustained-release capsule is prepared into the bacteriostatic non-menstrual period protection pad based on the sustained-release capsule. The air permeability and the moisture permeability of the protection pad are superior to those of the prior art, the comfort and the safety of non-menstrual female hygiene care are remarkably improved, and the protection pad is suitable for daily hygiene maintenance and infection prevention.

The present application discloses a data resource health maintenance method and apparatus, and a device. The data resource includes data computing resource and data storage resource. The method includes: obtaining a health assessment indicator for assessing health of the data resource, wherein the health assessment indicator includes a resource effective utilization degree and a resource risk level of the data resource in a use process; determining a weight corresponding to the resource effective utilization degree and a weight corresponding to the resource risk level; obtaining a health assessment result of the data resource based on the resource effective utilization degree, the resource risk level, the weight corresponding to the resource effective utilization degree, and the weight corresponding to the resource risk level; and obtaining a data resource use event related to the health assessment result, and performing data resource governance based on the data resource use event.

The invention relates to the technical field of daily chemical and skin external preparations, in particular to a six-dimensional synergistic effect-based acne removal and repair composition, which is prepared from the following active ingredients in parts by weight: 1 to 10 parts of sturgeon caviar extract, 0.1 to 10 parts of chlorogenic acid, 0.1 to 20 parts of 4-tert-butyl cyclohexanol and 0.1 to 20 parts of willow extract. The sturgeon caviar extract is prepared by supercritical CO2 fluid extraction, the willow extract is treated by a synthase process, the content of salicin is not less than 1.5 wt%, and at least one active component in the composition is subjected to supramolecular inclusion modification; the preparation method comprises the following steps: sequentially preparing the extracts and components, sequentially mixing, and finally carrying out an inclusion reaction. The composition constructs a full-link acne removal and skin health maintenance system through a six-dimensional synergistic effect of bacteriostasis, oil control, anti-inflammation, allergy relief, cutin dredging and repairing, has the characteristics of efficient acne removal, mildness, safety and low recurrence rate, is suitable for various skin types such as sensitive acne skin, and can be widely applied to acne removal products of various dosage forms.

The invention discloses a complete-cycle health maintenance method, system and device for secondary circuit equipment and a medium, and the method comprises the steps: obtaining the operation data of the secondary circuit equipment, and dividing the operation data into an initial data set and an incremental data set; constructing an initial health prediction model by using the initial data set, and predicting the residual service life of the secondary circuit equipment; according to an incremental learning algorithm, updating the initial health prediction model by using an incremental data set to obtain an updated health prediction model; and performing health state evaluation and residual service life prediction on the secondary circuit equipment by using the updated health prediction model, thereby realizing complete-cycle health maintenance of the secondary circuit equipment, automatically adjusting an incremental learning strategy according to the change of an equipment operation environment, and improving the adaptability of the system.

The invention relates to the technical field of bridge maintenance management, in particular to a bridge health maintenance intelligent decision platform system based on deep learning, which comprises a data acquisition module used for acquiring real-time monitoring data of a target bridge and a current detection report and a maintenance strategy; the deep learning analysis module is used for analyzing the collected data based on a pre-trained deep learning model to obtain a damage mode and a future damage trend of the target bridge; the intelligent decision support module is used for analyzing the current health state of the target bridge based on the deep learning analysis result and generating targeted maintenance suggestions and priority ranking; and the quality control and feedback optimization module is used for auditing the deep learning analysis result, checking whether detection omission or detection abnormal data exists or not, and feeding back the detection omission or detection abnormal data to the data acquisition module and the intelligent decision support module for optimization. According to the invention, comprehensive monitoring, intelligent evaluation and maintenance strategy recommendation of the steel cable bridge can be realized, and the efficiency and accuracy of bridge maintenance are improved.

The invention relates to a barrack health monitoring method and system based on multi-parameter sensing. The method comprises the following steps: acquiring fluctuation monitoring data, gas monitoring data and barrack structure data of a target barrack; performing feature extraction on the fluctuation monitoring data and the gas monitoring data to obtain fluctuation feature data and gas feature data; performing object hazard analysis according to the fluctuation characteristic data and the gas characteristic data to obtain health hazard data of the target barrack; performing hazard protection simulation according to the barrack structure data and the health hazard data to obtain hazard protection data of the target barrack; and adjusting the health hazard data according to the hazard protection data to obtain actual health data of the target barrack. By adopting the method, specific health data in the barrack can be accurately obtained, and effective barrack health maintenance is realized.

The invention relates to the technical field of artificial intelligence and intelligent medical treatment, and discloses a health care information service system based on deep learning and a knowledge graph, and the system uses implicit physiological semantic prototype nodes to establish a mapping access point of a continuous signal and a discrete graph, and generates a dynamic causal graph based on real-time physiological features. The causal deduction module predicts an intervention result on the dynamic map, and the signal reconstruction verification module performs reverse physical signal reconstruction on a map reasoning path and calculates an effectiveness score based on biophysical constraints. And the decision output module fuses the potential result predicted value and the validity score to generate an intervention suggestion. According to the method, deep fusion of time sequence data and symbol knowledge is realized, and physiological safety and interpretability of dynamic health maintenance decision are ensured through a bidirectional verification mechanism of a logic space and a physical signal space.

The invention relates to the technical field of precise health management, in particular to an intelligent health assessment analysis method and system based on precise management, and the method comprises the following steps: accessing monitoring equipment of a patient, collecting physiological indexes in real time, combining historical health data, inputting physiological index data to a health management database, and carrying out grading processing. And establishing an initial health file. According to the method, the dynamic association network of the health factors is updated in real time, continuous monitoring and accurate prediction of the health state of the patient are achieved, prediction parameters can be adjusted in time when continuous health state simulation is conducted, health management is more adaptive and accurate, the health track is analyzed in real time, and the accuracy of health management is improved. In particular, in the aspect of identifying key health transition nodes, a scientific basis is provided for medical providers to intervene at key moments, and in combination with behavior data and change analysis of emotion cognition, individual health maintenance schemes can be accurately adjusted, and targeted and accurate health guidance is provided.

To provide a display device and a display method with which it is possible to improve the ingestion of necessary food for health maintenance by considering the preferences of each individual.SOLUTION: In a display device 1 according to the present disclosure, an imaging control unit 11 controls an imaging unit so as to perform imaging and acquires a captured image. A detection processing unit 12 detects a food object from the captured image. An association processing unit 13 associates information regarding the preliminarily stored preferences of a user to the food object. A display control unit 14 controls a display unit on the basis of the associated preference information of the user so that display is carried out by differentiating the manner of how the food object looks to the user.SELECTED DRAWING: Figure 1

The invention provides a shaftless drilling winch and an intelligent cooperative control and thermal management method thereof, and the method is implemented based on an embedded controller and a sensor network, and comprises the following steps: data real-time acquisition, intelligent lubrication heat dissipation control, dual-motor dynamic cooperative control, predictive maintenance management based on a health state, and fault tolerance and degradation operation. According to the system, efficient cooperative driving, on-demand accurate heat management and state-based predictive health maintenance of the winch are achieved, the problems that a traditional winch control system is poor in collaboration, extensive in heat management, lack of health management and the like are solved, and the safety, economical efficiency and modernization level of drilling operation are remarkably improved. According to the invention, the winch is changed from traditional mechanical equipment to intelligent equipment with self-sensing, intelligent decision making and active health management capabilities.

The invention relates to the technical field of traditional Chinese medicine data recommendation, and particularly provides a traditional Chinese medicine health maintenance scheme recommendation method and device, a storage medium and electronic equipment, and the method can comprise the steps: obtaining question answers of a user for key questions of various physique types in traditional Chinese medicine physique types, the question answer represents physical characteristics of the user; on the basis of the question answer and user feature information, the user physique type is determined, and the user feature information comprises tongue condition information, face information, pulse condition information or palm information; and obtaining a personalized health-preserving scheme matched with the user physique type, and recommending the personalized health-preserving scheme to the user. Some embodiments of the invention can intelligently recommend a proper health-preserving scheme for the user.

The invention discloses a humanoid robot state monitoring method and device. The method comprises the following steps: acquiring multi-modal information data of a humanoid robot; determining physical examination result information according to the multi-modal information data, wherein the physical examination result information is used for representing the anthropomorphic health state of the humanoid robot; when a state inquiry instruction is detected, a state updating strategy is determined according to the physical examination result information and the state inquiry instruction, and the state updating strategy comprises interaction confirmation operation, state updating operation and health maintenance operation; and executing the state updating strategy to update the current running state of the humanoid robot. Therefore, the physical examination result information representing the anthropomorphic health state of the humanoid robot is determined according to the multi-modal information data, so that when the state inquiry instruction is detected, the state updating strategy is determined according to the physical examination result information to perform interaction with higher anthropomorphic degree and more intelligent updating and maintenance; therefore, the state monitoring of the humanoid robot is more intelligent, and the user experience is improved.

This invention discloses a compound peptide nutrient with fat-reducing effects, belonging to the field of health food technology. Specifically, it relates to a VQPIPY peptide or a product containing VQPIPY peptide in the preparation of lipid-lowering drugs or health products, or in the preparation of drugs for treating and / or alleviating alcoholic liver damage. This invention also provides a meal replacement powder containing VQPIPY peptide, shown as a compound of whey powder, milk powder, oats, spinach powder, allulose, and camel milk peptide in a specific ratio. Through the synergistic effect of its components, this product achieves multiple effects such as providing satiety, inhibiting blood sugar, and lowering blood lipids. It is characterized by balanced nutrition, safety, effectiveness, and good taste, and can be used for weight management and daily health maintenance.

1. Name of the product in this design: Cupping device (A). 2. Purpose of this design: The main purpose of this design is for use as a cupping device for cupping therapy or health maintenance. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention relates to the field of biotechnology, and more particularly to a swelling-promoting seahorse oil and its application in the preparation of anti-sarcopenia products. Obtained using a supercritical carbon dioxide extraction process, the swelling-promoting seahorse oil of this invention has been experimentally verified to inhibit muscle degradation, promote muscle cell activation and differentiation, increase muscle mass, and enhance muscle strength and endurance. Furthermore, it exerts its effects through dietary supplementation with no significant adverse reactions, and can be used to prepare anti-sarcopenia related foods, health products, or pharmaceuticals to meet the muscle health maintenance needs of the elderly.

The utility model provides a health preserving kettle which comprises a kettle body, and the kettle body comprises a kettle body, a partition component and a base. The separating part is arranged inside the kettle body and divides the kettle body into an upper kettle body and a lower kettle body, the upper kettle body, the lower kettle body and the separating part are made of the same material, and the upper kettle body and the lower kettle body are arranged in a split mode and are formed in a welding mode or the upper kettle body and the lower kettle body are integrally formed. The base comprises a heating disc, a fixing shell and a first connector assembly, the heating disc is arranged in the kettle body and is in closed connection with the partition part, the interior of the kettle body is divided into a first cavity and a second cavity by the heating disc and the partition part, the first cavity is used for containing an object to be heated, and the fixing shell is arranged in the second cavity and is connected with the lower kettle body; the first connector assembly is arranged at the bottom of the fixing shell and electrically connected with the heating disc. According to the health maintenance kettle, the upper kettle body and the lower kettle body are welded or integrally formed, the leakproofness between the upper kettle body and the lower kettle body is effectively improved, and the hidden danger of water seepage and water leakage is reduced.

The utility model discloses a kettle cover waterproof structure and a kettle cover. The kettle cover waterproof structure comprises a kettle cover, a cylinder cover, a first buckle structure, a second buckle structure, a kettle cover sealing ring and a cylinder cover sealing ring. The kettle cover and the cylinder cover are buckled with each other through the first buckle structure and the second buckle structure, and an annular cavity is formed between the kettle cover and the cylinder cover; the kettle cover sealing ring and the cylinder cover sealing ring are respectively used for sealing two sealing gaps of the annular cavity; the kettle cover comprises the kettle cover waterproof structure. Compared with a kettle cover of an existing health maintenance kettle, the kettle cover waterproof structure and the kettle cover have the advantages that the kettle cover and the kettle cover are directly buckled through the buckle structure to form the cavity of the kettle cover, a plastic lower kettle cover is omitted, assembly is simple, and manufacturing cost is low.

This invention provides an essential oil composition that combats hypoxia, fatigue, and enhances cold resistance. It is prepared from raw materials in the following weight ratios: 4.0–8.0 parts Rhodiola rosea essential oil, 1.5–2.5 parts ginseng essential oil, 0.5–1.5 parts Angelica sinensis essential oil, and 0.5–1.5 parts Ligusticum chuanxiong essential oil. This invention also provides a method for preparing this composition and its uses. The essential oil composition of this invention can combat hypoxia, fatigue, and enhance cold resistance. It has a fragrant aroma and works rapidly and noticeably. The combination of various essential oils can exert a synergistic effect, making it suitable for special environments such as high altitudes, diving, and aviation, as well as for daily health maintenance and disease prevention.

Deep learning-based diagnosis methods currently face some challenges and open problems. First, domain knowledge of fault modes and operating conditions are not integrated in most existing approaches, which results in low diagnosis accuracy and training efficiency. Second, existing methods treat all features with indiscriminate attention, which causes unnecessary computation and even false diagnosis results in some cases. Third, multi-task diagnosis becomes more important for health maintenance. To address these challenges, a deep residual convolutional neural network is provided with an enhanced discriminate feature learning capability and information fusion for multi-task bearing fault diagnosis. Domain knowledge is integrated with monitoring data to build the information map. Two attention modules are introduced to enhance the discriminate feature learning ability, and two classifiers are employed for multi-task diagnosis, providing significant improvements in diagnostic accuracy and training efficiency.