4311results about How to "Improve comfort" patented technology

The invention discloses a central air conditioner energy-saving optimization system based on load prediction, and relates to the technical field of air conditioner energy saving.According to the central air conditioner energy-saving optimization system based on load prediction, a VMDTransformerGRU hybrid deep learning model is introduced, through multi-source data fusion, the precision of cold load prediction is remarkably improved, and the prediction model can recognize the load change trend in advance. According to the improvement, the dynamic response capacity of the system is effectively enhanced, pre-regulation and control can be carried out before load changes, energy waste is reduced, a water chilling unit, a cooling tower and a pump are modeled to be independent intelligent agents, multi-agent deep reinforcement learning (MADRL) is adopted, and all the intelligent agents can autonomously learn and optimize control strategies of the intelligent agents. The intelligent agents cooperate with one another, efficient operation of the whole system is achieved through autonomous decision, and operation conflicts between devices are avoided. In this way, dynamic coordination and joint optimization among all the devices are achieved, invalid energy consumption is reduced, and the overall energy-saving effect and operation stability of the system are remarkably improved.

The invention relates to the technical field of intelligent dehumidification, in particular to a dehumidification control method and system based on humidity detection and an intelligent dehumidifier, and the method comprises the following steps: collecting outdoor humidity data and indoor humidity data through a humidity sensor, executing time synchronization and marking, and carrying out data normalization processing to obtain initial environment humidity detection data; according to the invention, through humidity detection, advanced data processing and trend prediction, the precision and foresight of dehumidification control are improved, subtle humidity change is identified by using a difference technology, real-time fluctuation of environment humidity is accurately reflected, the humidity change in a short period is predicted by using a linear regression model, the accuracy of a prediction result is improved, prediction errors are reduced, and the method is suitable for large-scale popularization and application. By means of the calculation result of the humidity setting difference of the different areas, accurate adjustment, continuous monitoring and dynamic adjustment of dehumidification parameters of the dehumidification equipment in the different areas are achieved, it is ensured that the equipment is kept in the optimal operation state all the time, the energy efficiency is remarkably improved, and the comfort and safety of the living and working environment are improved.

The invention discloses an AI auxiliary limb rehabilitation system, and belongs to the field of communication control systems, the AI auxiliary limb rehabilitation system combines a sensing module, an AI analysis module, a VR interaction module, a feedback module and the like, comprehensively collects limb movement and physiological data, introduces gamification elements, improves the patient participation degree through target setting, an award mechanism and interesting tasks, and improves the rehabilitation effect. A personalized rehabilitation plan is generated by using a deep learning algorithm, an emotion recognition unit can adjust the plan according to a psychological state, environment self-adaption and real-time adjustment of training difficulty to ensure training safety and is challenging, data cloud storage facilitates remote monitoring, third-party equipment is compatible with extended monitoring ability, and the training efficiency is improved. A brand-new, efficient and personalized solution system scheme is provided for limb rehabilitation.

The invention discloses a lung puncture navigation system for pneumology department, which relates to the technical field of lung puncture navigation and comprises a data collection module, a data processing module, a calculation module and a navigation module. The method has the advantages that the focus position can be accurately positioned in real time by collecting the lung image data and the respiratory movement data of the patient and utilizing calculation of respiratory compensation, the need of adjusting the position of a puncture needle for multiple times is avoided, the optimal puncture path can be calculated, and the puncture accuracy is improved. Therefore, intelligent biopsy puncture path planning can be carried out according to specific conditions of the patient, biopsy risks are reduced, focus position changes caused by respiratory movement can be accurately compensated through real-time respiratory compensation application, and it is ensured that navigation precision and biopsy effects are not affected by the respiratory movement.

The invention relates to the technical field of sickbed control, in particular to a control system of an intelligent bed and a control method thereof. The method comprises the following steps: acquiring structural data of the intelligent bed; carrying out human body fitting area gravity sensor deployment on the intelligent bed structure data to obtain sickbed sensor deployment data; performing gravity sensor data acquisition on the sickbed sensor deployment data to obtain an initial gravity sensor data set; carrying out data matrix processing on the gravity sensor data set to generate a multi-dimensional pressure sensing matrix; acquiring user pain part data and bed board motor initial position data; and performing pressure distribution mode recognition on the multi-dimensional pressure sensing matrix to obtain a uniform distribution mode and a concentrated distribution mode. According to the invention, through the personalized support regulation, global attitude optimization and real-time feedback mechanism of the intelligent bed, the control accuracy and intelligence of the intelligent bed are improved.

The invention relates to the technical field of air conditioners, in particular to an air conditioner internet-of-things control method. An IoT (Internet of Things) module is integrated in each air conditioner, and environment data including temperature, humidity and air quality of a room are collected in real time through connection of an intelligent sensor and a cloud platform; data of all air conditioning equipment is summarized to form a centralized management system of equipment state and environment information; an intelligent cooperative control algorithm based on communication between the equipment is constructed by means of internet-of-things intercommunication between the air conditioning equipment; the air conditioning equipment detects environmental data in real time through a local sensor, accesses prediction data of an external environment including weather forecast and climate change trend, and adjusts a working mode in advance in combination with a self-learning function of the equipment; a multi-dimensional energy-saving optimization algorithm is adopted for intelligent control; meanwhile, the overall energy consumption is optimized in combination with external weather change and equipment use frequency; the optimization strategy comprises time period distribution and equipment priority control; and performing personalized user control based on big data analysis.

The invention discloses a dynamic expansion management and control method for highway accident congestion based on an ETC portal, and relates to the technical field of traffic management and control, and the method comprises the steps: obtaining accident information; calculating the queuing length of the accident scene; the congestion duration is predicted, wherein the congestion duration is composed of rescue time, obstacle clearing time and congestion dissipation time; dilatation management and control are carried out in different areas, a control area and a buffer area are sequentially divided from the accident occurrence place along the rear, and dynamic dilatation management and control are carried out according to the actual traffic capacity of the accident road section. The method has remarkable advantages in the aspects of quick response, resource adjustment, timely rescue, accurate prediction, plan making and the like, decision scientificity is improved, effectiveness of active traffic management is improved, management strategies of active traffic management are refined, scientificity and rationality of dynamic management and control measures are improved, and the method is suitable for popularization and application. The method is of great significance in improving the emergency processing capacity of the expressway and guaranteeing traffic safety and smoothness.

The invention discloses a building energy consumption control system based on deep learning. The building energy consumption control system comprises a data acquisition module, a data processing module, a deep learning module, an optimization control module and a real-time control module, the invention further discloses a control method of the building energy consumption control system based on deep learning. The energy consumption prediction model is constructed through the long-short-term memory network, and the user behavior model is constructed through the convolutional neural network, so that the energy consumption optimization control strategy is generated through the reinforcement learning algorithm based on the output results of the energy consumption prediction model and the user behavior model, and the related data of the building energy consumption system is effectively utilized. Intelligent control over the building energy consumption system is achieved, changes of environmental parameters and user requirements are dynamically adapted by optimizing an energy consumption control strategy, and the comfort level of a user is improved while energy saving and consumption reduction are achieved.

The invention belongs to the technical field of intelligent control of air conditioning systems, and discloses a split type air conditioner load management system and method. The system comprises a central controller, a health management module, an adaptive integrated control module AICA and an intelligent scene recognition module. The central controller integrates various sensor information such as temperature and humidity, air quality and user physiological data, data processing and intelligent decision making are carried out through an AICA module, and dynamic optimization management of air conditioner loads is achieved. The health management module automatically adjusts the air conditioner operation mode according to the body temperature, heart rate and other physiological indexes of the user, and a comfortable environment is provided. And the intelligent scene recognition module is used for pre-judging user requirements and adjusting the operation of the air conditioner by learning a user behavior mode. The energy efficiency and the intelligent level of air conditioner operation are improved, the method is suitable for air conditioner load management of various buildings, energy can be effectively saved, and the comfort level of users is improved.

The invention discloses a plant disease and insect pest detection device and method based on unmanned aerial vehicle high-altitude texture imaging, and belongs to the technical field of intelligent agriculture. The plant disease and insect pest detection device comprises an unmanned aerial vehicle body, a holder, a high-altitude texture camera and a small host; the high-altitude texture camera is arranged below the holder, the holder is arranged below the small host, the small host is arranged below the unmanned aerial vehicle main body, the unmanned aerial vehicle main body is provided with a front high-definition camera, a battery and an illumination sensor, and the high-altitude texture camera is wirelessly provided with a handle and a flight remote controller through Bluetooth; according to the plant disease and insect pest detection method, high-precision recognition of disease and insect pests is achieved on the basis of high-altitude texture feature fusion in combination with an environment perception driven data enhancement module, a self-adaptive multi-scale image convolution feature extraction and fusion module and a disease and insect pest area attention fusion module. The technology effectively supports precise detection of diseases and insect pests in agricultural production, and provides a scientific basis for agricultural management and pesticide application.

The invention relates to the technical field of fabrics, and discloses a preparation method of an anti-wrinkle comfortable fabric, which comprises the following steps: by taking alkyl diamine, acrylonitrile, gamma-chloropropyl methyl dimethoxy silane and the like as raw materials, carrying out addition reaction, hydrolysis reaction and quaternization reaction to obtain polycarboxyl disilane gemini quaternary ammonium salt; octamethylcyclotetrasiloxane, polycarboxyl disilane gemini quaternary ammonium salt and the like are used as raw materials, quaternary ammonium salt modified polysiloxane is obtained through base catalysis copolymerization, then the quaternary ammonium salt modified polysiloxane is emulsified and prepared into finishing liquid, pure cotton fabric is soaked in the finishing liquid, and the anti-wrinkle comfortable fabric is obtained through two-dipping and two-rolling finishing. The crease resistance of the fabric is improved by utilizing a large number of amino groups and carboxyl groups contained in the finishing liquid, and the antibacterial property of the fabric is improved by utilizing a quaternary ammonium salt structure contained in the finishing liquid. Experiments prove that the prepared fabric has good crease-resistant comfort performance and antibacterial performance.

The invention relates to the technical field of display, and discloses a Mini LED dynamic backlight module control method and system.The method comprises the steps that the component state of a Mini LED dynamic backlight control system is analyzed, and an ambient light-backlight brightness model and a user state-backlight brightness model of a watching user are constructed; coupling the ambient light-backlight brightness model and the user state-backlight brightness model to obtain a coupled backlight brightness model, and defining the initial backlight brightness of the Mini LED corresponding to the Mini LED dynamic backlight control system; receiving a display content signal of the Mini LED, extracting display elements of the display content signal and display element characteristics of the display elements, and analyzing display content of the display content signal and a display content type of the display content signal; and analyzing the dimming parameters of the Mini LED by using a content self-adaptive dimming algorithm, sending the dimming parameters to a Mini LED driving circuit in the Mini LED dynamic backlight control system, and executing the dynamic backlight control of the Mini LED through the Mini LED driving circuit. According to the invention, the comfort level of the user in watching experience can be improved.

The invention provides a road surface flatness repairing method based on a scheduling algorithm and related equipment, and relates to the field of road engineering. The method comprises the following steps: acquiring image data of a target road, dividing a road surface region and sub-road surface regions according to a preset region size, and coding the sub-road surface regions; and then obtaining point cloud data of the sub-pavement areas, dividing the point cloud data into horizontal and vertical column point clouds according to the width and length of the sub-pavement areas, and determining the pavement flatness according to the difference value of the key point coordinates of each column of point clouds. And determining the sub-pavement area with the flatness lower than the first threshold value or higher than the second threshold value as a to-be-repaired position, and determining a to-be-repaired category. And then candidate maintenance vehicles with the distances to the to-be-repaired position being within a set range and matched with the to-be-repaired position in category are determined, a target maintenance vehicle is determined from the candidate maintenance vehicles in combination with a departure time priority algorithm, and finally a maintenance task is sent to the target maintenance vehicle. Accurate detection and efficient repair of the pavement flatness are realized.

The invention discloses an intelligent directional and quantitative smell generation method in virtual reality olfaction interaction, and relates to the technical field of virtual reality. The invention provides an intelligent, directional and quantitative smell generation method in order to solve the technical problems that in smell generation work in virtual reality in the prior art, the variety and generation precision of smell are limited, an accurate smell concentration control mechanism is lacked, and interactive linkage with user actions and a virtual environment is lacked. In combination with an odor molecule dynamic combination technology, a deep learning prediction model, closed-loop concentration control and a spatial orientation transmission system, richer, personalized and immersive olfactory interaction experience is provided. Comprising a smell synthesis module, a digital smell control unit, an intelligent smell prediction model, a directional smell transmission system and a virtual wind field simulation module. The method is suitable for being applied to the work of intelligent directional and quantitative smell generation in virtual reality olfaction interaction.

A marching assisting exoskeleton robot comprises a waist supporting structure module, a waist rod module, a joint driving module and a binding system. The waist rod module comprises two groups of waist rod module assemblies which are symmetrically arranged relative to the waist supporting structure module. According to the design scheme provided by the embodiment of the invention, parts can be changed into a whole, the structure of the whole machine is simplified, so that assembling procedures are reduced, the structural complexity can be reduced, and the stability of the machine body is improved. By applying the symmetrical telescopic adjusting module, the machine body can bring better wearing adaptability and comfort to people with different figures. Compared with an existing light walking-aiding exoskeleton robot, the light walking-aiding exoskeleton robot has the advantages of being comfortable and convenient to wear, convenient to operate, high in whole machine protection capacity and high in power-aiding capacity, and in addition, the light walking-aiding exoskeleton robot is small in size and light in mass and has high market competitiveness in exoskeleton robot products of the same type.

The invention discloses an existing anchoring and shotcreting side slope ecological restoration technology and method with shrub planting as the core, a side slope vegetation hole environment improving device and a hole filling layered structure design are included, and the side slope vegetation hole environment improving device is mainly composed of a conical threaded drill bit, a connecting rod, a motor, a metal connecting hose, a pressure storage tank and an air compressor. The motor provides power for penetration of the gas injection needle head, and the air compressor provides power for injection of the plant nutrient solution; the vegetation hole layered structure comprises a bottom water retention layer, a base fertilizer layer, a nutrient soil layer and a surface covering layer; environment improvement is conducted on the vertical and horizontal directions of the planting holes through an environment improvement device, local dominant shrubs are planted in the planting holes, and local dominant vine plants are planted at the top of the slope to comprehensively and ecologically protect the slope; comprising the following steps: step 1, investigating and surveying plant communities and analyzing slope stability; step 2, slope vegetation hole environment improvement; 3, planting hole construction; and 4, slope top vine plant ecological slope protection construction is carried out.

The invention relates to a training binding system of a disability comprehensive rehabilitation training machine, and relates to the technical field of medical instruments, the training binding system comprises a seat, two swing assemblies and a rolling assembly, the seat comprises a supporting frame, a rotating frame and a backrest frame, the rotating frame is connected to the top of the supporting frame, and the backrest frame is connected to the side, away from the supporting frame, of the rotating frame; the backrest frame and the rotating frame form a containing area for a disabled person to sit down, and the two swing assemblies are distributed on the two sides of the backrest frame and used for exercising arms of the disabled person. The rolling assembly comprises a rolling plate, a first driving part and a plurality of balls, the rolling plate is located on the side, close to the containing area, of the backrest frame and rotationally connected to the backrest frame, and the first driving part is connected with the backrest frame and the rolling plate to drive the rolling plate to rotate; the multiple balls are rotationally connected to the side, away from the backrest frame, of the rolling plate and can massage the back of the disabled person. The application has the effect of improving discomfort of the patient.

The invention provides an elevator intelligent air curtain and a semiconductor refrigeration control method. The method comprises the steps that the historical temperature and airflow distribution data in an elevator are obtained; according to historical temperature and airflow distribution data, training a temperature and airflow distribution prediction model by adopting a long-short-term memory network; acquiring real-time temperature and airflow distribution data in the elevator, inputting the temperature and airflow distribution prediction model, and predicting future temperature and airflow distribution; according to the predicted temperature and airflow distribution, an optimization algorithm is adopted to calculate the opening angle of the air curtain and the refrigeration power parameter of the refrigeration cold piece, and the optimal control strategy of the air curtain and the refrigeration cold piece is obtained with the temperature control precision and the system energy consumption as optimization targets; and parameters in the optimal control strategy are input into a controller of the air curtain and the refrigerating fins, the air speed and the air direction of the air curtain and the refrigerating power of the refrigerating fins are adjusted, and optimal control over the temperature and airflow distribution in the elevator is achieved.

The embodiment of the invention relates to the technical field of vehicle manufacturing, in particular to a multifunctional holding feeling variable steering wheel which comprises a rim, a center shaft hub, a plurality of spokes, a controller and a control button, the rim is installed on the center shaft hub through the spokes, the center shaft hub is connected with a steering column, and the controller is connected with the steering column. The wheel rim is provided with two normally-held areas, the wheel rim and the central shaft hub are hollow, the two normally-held areas are provided with adjusting areas, the positions, in the adjusting areas, of the wheel rim are hollowed out, the hollowed-out positions are fixedly covered with rubber sheets, and an adjusting groove, an air bag and a two-way air pump are arranged in the wheel rim. The adjusting groove is fixedly formed in the position of the adjusting area, the air bag is arranged between the adjusting groove and the rubber sheet and connected with the two-way air pump, the controller is installed in the hollow portion of the center shaft hub, and the control button is fixedly arranged on the center shaft hub.

The invention provides an electric wheelchair damping suspension control method and device, and relates to the technical field of electric wheelchair control, and the technical scheme is characterized in that road surface information collected based on electric wheelchair front wheel mechanical response is obtained, and the road condition about to be encountered by rear wheels is predicted based on the road surface information and the distance between the front wheels and the rear wheels of an electric wheelchair; according to the predicted road condition, the optimal position of a movable heavy object below a seat of the electric wheelchair and the optimal parameters of a rear wheel damper are calculated and controlled, adjustment of the movable heavy object is used for optimizing distribution of the gravity center of the wheelchair, and adjustment of the rear wheel damper is completed before rear wheels make contact with the uneven road surface; the posture of the wheelchair and the comfort degree of a user are monitored in real time, and the position of the movable heavy object and parameters of a rear wheel damper are dynamically adjusted according to the monitoring result. The electric wheelchair damping suspension control method and device have the advantage that the comfort and stability of the electric wheelchair when the electric wheelchair runs on an uneven road surface are improved.

The invention provides wearable cardiovascular health monitoring equipment based on artificial intelligence, an environment adaptability analysis system of the wearable cardiovascular health monitoring equipment and a use method of the wearable cardiovascular health monitoring equipment, and aims to provide real-time and comprehensive cardiovascular health monitoring and risk assessment. And the health condition of the user and the influence of the external environment are comprehensively monitored. Through a built-in wireless communication module, the equipment can transmit collected data to mobile equipment or a cloud server of a user in real time. In addition, the system also comprises an AI analysis module which performs complex data analysis by using indexes such as heart rate variability (HRV) and the like so as to evaluate the cardiovascular health state of the user and predict the potential risk. The device also provides a personalized suggestion generator which provides lifestyle adjustment suggestions to the user according to the analysis result. A user can intuitively obtain own health data, risk assessment and life improvement suggestions through interactive interfaces such as a mobile application program (APP) and a smart watch / bracelet.

The invention discloses a control method and system for DPF operation regeneration of a special vehicle, and the control method comprises the steps: obtaining a vehicle state parameter through an ECU, and judging whether the vehicle state parameter meets a DPF regeneration triggering request or not; and if the DPF regeneration triggering request is met, the running state of the vehicle is judged, and an idling state or an operation state is generated. And if the running state of the vehicle is the operation state, the ECU reminds a driver whether to enter a regeneration mode or not. And if the driver confirms to enter the regeneration mode, the engine enters the DPF regeneration mode to execute operation. And after DPF regeneration succeeds or fails, the engine quits the DPF regeneration mode. Therefore, according to the control method for DPF operation regeneration of the special vehicle, by adding the whole vehicle operation state parameter judgment conditions, DPF regeneration can be completed without stopping operation when the special vehicle continuously operates in the static state.

The physical microscope comprises an eyepiece, a pupil distance adjusting group, an optical hinge group, a prism steering group, a continuous zoom objective lens group and a light source group which are connected from top to bottom, the upper end and the lower end of the optical hinge group are provided with a first hinge shaft and a second hinge shaft respectively, and the optical hinge group further comprises a holder and a prism frame which are distributed left and right. A rotary disc and a fixed disc are fixed to the left end of the first hinge shaft and the left end of the second hinge shaft respectively, a first arc-shaped rack is arranged at the lower end of the rotary disc, a second arc-shaped rack meshed with the first arc-shaped rack is arranged at the upper end of the fixed disc, and a torsional spring is installed between the first hinge shaft and the second hinge shaft. According to the invention, the angle can be flexibly adjusted, and final imaging or positive imaging can be realized.

The invention relates to the technical field of traffic signal lamp and vehicle cooperative control, and discloses a traffic signal lamp and vehicle cooperative control method based on heterogeneous hierarchical reinforcement learning. According to the invention, the traffic lights and the CAV are cooperatively controlled by using two types of agents, and the two types of agents interact and cooperate with each other, so that the overall traffic efficiency in a mixed traffic flow environment is improved; the two types of intelligent agents effectively perform information communication and task cooperation through a hierarchical cooperation mechanism, so that the traffic efficiency of the intersection and the safety and comfort of CAV driving are further improved; by means of a heterogeneous multi-agent learning framework, effective collaborative learning is carried out on heterogeneous multiple tasks, the problem of unstable training is solved, and the overall training effect is improved.

The invention relates to an automatic mattress temperature adjusting method and system based on physiological data. According to the method, heart rate, body movement, respiratory rate and body temperature data of a user are collected in real time through a physiological parameter sensor in the intelligent mattress, and sleep stages of the user are identified on the basis of the data and comprise a falling asleep stage, a light sleep stage, a deep sleep stage and an awakening stage. And establishing an optimal sleep temperature database of the user, recording a corresponding relationship between physiological data of the user in different sleep stages and the mattress temperature, calculating a sleep quality score based on the body movement frequency and the deep sleep duration, and recording a compensation coefficient of the environment temperature and the mattress temperature at the same time. And determining a target adjusting temperature according to the current sleep stage of the user and the database information, and correcting the target adjusting temperature in combination with the environment temperature and the compensation coefficient to obtain a final adjusting temperature. The temperature of the mattress is dynamically adjusted to the corrected target adjusting temperature through a water circulation temperature control system arranged in the mattress, so that personalized sleep temperature control is provided.

The invention discloses polylactic acid polyol as well as a preparation method and application thereof. The preparation method comprises the following steps: performing a heating reaction on zinc salt, organic ammonium salt and bis (ethylene carbonate) ether to prepare an in-situ catalyst; anions of the organic ammonium salt are selected from any one of bromide ions, chloride ions and iodide ions; and adding a lactide monomer, and carrying out polymerization reaction to obtain the polylactic acid polyol. The polylactic acid polyol prepared by the invention has a flexible chain segment, can provide better flexibility, and can be applied to preparation of a polyurethane material.

The invention discloses a massage chair real-time control method and system based on electromyographic signals and a computer medium. The method comprises the steps that the electromyographic signals of a current massage user are obtained; extracting time domain features, frequency domain features and geometric features of the electromyographic signals; obtaining a real-time muscle state according to the time domain feature, the frequency domain feature and the geometric feature of the electromyographic signal; and controlling the massage strength and rhythm of the massage chair according to the real-time muscle state and the historical massage data of the current massage user. By analyzing the long-term muscle state and massage record of the user, an instant personalized massage scheme is generated for each user. Therefore, the actual requirements of the user can be better met, the system can provide more accurate and personalized services for the user, and the optimal user experience can be achieved.

The invention relates to the technical field of medical instruments, and discloses a wearable obstructive sleep apnea early warning device which comprises a mask, an air pipe connector and two sets of fixing bandages, the air pipe connector communicates with the mask and is installed at the position, close to nostrils, of the mask, and the two sets of fixing bandages are installed on the two sides of the mask correspondingly; a nasal cavity rod is arranged at the position, close to the air pipe connector, in the mask. A rotating shaft is arranged on the outer side of the end, away from the airflow sensor, of the nasal cavity rod. Through the arrangement of a torsion assembly, a first limiting assembly, a nasal cavity rod and an airflow sensor, the airflow sensor is rapidly and accurately inserted into the nasal cavity, so that rapid and accurate wearing of the mask is achieved, the monitoring accuracy of the airflow sensor is improved, the data monitoring accuracy is improved, and by combining the design of a fixing bandage of the mask, the practicability is high. Meanwhile, the mask can be prevented from falling off due to turning of the patient in the sleeping process, and monitoring continuity and accuracy are improved.

The invention provides a data acquisition and analysis method of an intelligent sofa, which comprises the following steps: arranging an electrostatic sensor array on the intelligent sofa, and acquiring electrostatic signal intensity and polarity distribution, human body charge and environmental humidity data of different areas on the surface of the sofa in real time to obtain electrostatic distribution data; under different air quality conditions including pollutant concentration and particulate matter content, according to the electrostatic characteristic parameters, a mapping relation model of the electrostatic characteristic parameters and the air quality is trained through a support vector machine algorithm; inputting sofa static signal intensity collected in real time into the trained mapping relation model of static characteristics and air quality to obtain changes of the static characteristics, and evaluating indoor air quality in real time; if the evaluation result shows that the air quality is smaller than the air quality threshold value, an air purification device of the intelligent sofa is triggered, an air purifier is started, and the ventilation amount of a fresh air system is increased so as to improve the indoor air environment.

The present invention discloses a transcranial magnetic stimulator, which belongs to the technical field of medical devices. It includes: a circular hole is provided on a substrate; a first rotating ring is rotatably installed in the circular hole of the substrate; a circular hole arranged eccentrically relative to the axis of the first rotating ring is provided on the first rotating ring; a first driving mechanism is installed on the substrate, which is used to control the first rotating ring to rotate around the circular hole of the substrate; a second rotating ring is rotatably installed in the circular hole of the first rotating ring; a circular hole arranged eccentrically relative to the axis of the second rotating ring is provided on the second rotating ring; a second driving mechanism is installed on the first rotating ring, which is used to control the second rotating ring to rotate around the circular hole of the first rotating ring; a shaft cylinder is rotatably installed in the circular hole of the second rotating ring; a magnetic head is installed at the lower end of the shaft cylinder. The present invention realizes the flexible movement of the magnetic head on a two-dimensional plane through a two-stage rotating ring, which greatly increases the flexibility and accuracy during treatment, helps to achieve more accurate and personalized treatment, and improves the treatment effect.