333 results about "Comfort levels" patented technology

The embodiment of the invention provides an energy-saving optimization system for heating, ventilating and air conditioning of an indoor ski field. The energy-saving optimization system comprises a multi-source sensing layer, an edge computing layer, a cloud decision-making layer and an equipment execution layer. The multi-source sensing layer is used for collecting multi-source data such as weather, passenger flow, temperature and humidity and equipment state; the edge calculation layer carries out fusion processing on the data and generates a load prediction result through a load prediction mechanism; the cloud decision-making layer generates an optimization control instruction based on a multi-agent deep reinforcement learning and model prediction control optimization strategy; and the equipment execution layer receives and executes the instruction and feeds back the equipment state. Through a multi-layer collaborative optimization architecture, accurate load prediction and equipment intelligent collaborative control are realized, five-stage stepped optimization and a dynamic priority mechanism are adopted, the energy efficiency of the system is remarkably improved, the energy consumption is reduced while the environmental comfort is ensured, and the economical efficiency and the stability of system operation are effectively improved.

The embodiment of the invention discloses a self-adaptive air conditioner heating control method and system based on multi-source perception.The method comprises the steps that multi-source environment data such as indoor environment data, outdoor environment data and air conditioner operation data are collected in real time, and active adjustment behaviors and environment state data of a user are combined; a personalized comfort model is established and continuously updated through a machine learning algorithm, and a dynamic target comfort temperature interval is output to reflect comfort temperature preferences of a user in different environments; the multi-source environment data and the target comfortable temperature interval serve as input, maximization of user comfort, minimization of energy consumption and reduction of compressor starting and stopping times serve as targets, rolling optimization calculation is conducted through an optimization algorithm, and an air conditioner control instruction set containing a dynamic target temperature set value, a compressor operation instruction and a fan rotating speed instruction is dynamically generated; and executing an instruction set, monitoring an effect and user feedback, and feeding data back to the model establishment and optimization calculation step to realize self-adaptive control.

The invention discloses an intelligent temperature control energy-saving system and method based on personnel position detection and prediction. The system monitors indoor personnel distribution and temperature and humidity in real time through the human body and environment sensing module; the behavior prediction module utilizes an LSTM deep learning model to analyze the historical moving track of the user and predict the next target room and the arrival time of the user in combination with the environment context; the environment regulation and control module starts equipment such as an air conditioner in the target room in advance to adjust to a comfortable state; and the energy efficiency optimization module is used for implementing energy-saving control on the unmanned room. According to the method, the crossing from passive reaction to active prediction is realized, and the energy utilization efficiency of the home environment is remarkably improved on the premise of ensuring the comfort.

The invention relates to the crossing field of biothermodynamics and dynamic environment control, and discloses a space thermal microclimate multi-target regulation and control method, device and system, a medium and a product. The method comprises the following steps: acquiring physiological parameters (including effective dressing thermal resistance and local sweat gland density of posture correction) of a passenger, environment space-time parameters and light environment parameters through a biological characteristic sensor, an environment sensor and an optical sensor; constructing a dynamic human body thermal comfort model library, and adopting a feature coding-parameter decoding mechanism to match a target thermal comfort model; generating a hierarchical regulation strategy based on the difference between the local comfortable temperature and humidity interval and the real-time thermal environment sensing parameter; and the refrigerant circulation system, the fluid circulation system and the optical radiation system are cooperatively controlled to realize local microclimate regulation and control. According to the method, the problems of inaccurate thermal comfort modeling and low multi-system cooperation efficiency in a transient environment are solved, the energy efficiency ratio is improved, and the comfort of passengers in a cabin is remarkably improved.

The invention provides a conference room environment regulation and control method and system, a medium and a product. In the method, an environment regulation and control system firstly determines a target temperature according to an external environment temperature, and then carries out temperature regulation and control in advance in combination with reservation time. When the conference is carried out, the environment regulation and control system carries out targeted monitoring on the temperature of different areas by dividing the air outlet area and the non-air outlet area in the conference room, and it is ensured that the temperature imbalance phenomenon is found in time. When the regional temperature difference between the air outlet region and the non-air outlet region reaches a temperature difference threshold value, the environment regulation and control system determines the regulation sequence according to the number of people in the region and the regional temperature difference, and it is ensured that resources are preferentially used for the region with the larger influence. And finally, the environment regulation and control system calculates the air volume and the air direction by combining the space parameters of the to-be-regulated area and regulates and controls the air volume and the air direction in sequence, so that the temperature of each area synergistically approaches a target value. According to the method, the temperature difference of different positions of the conference room is effectively relieved, and the balance and comfort of the whole environment are improved.

A device located within a user environment may be used to measure one or more environmental conditions within the user environment. For example, the sensor device may measure the temperature, humidity, light intensity, color temperature, and / or the like. The sensor device may periodically measure the environmental conditions, and may periodically transmit the values of the measured environmental conditions to a computing device. A mobile device associated with a user may receive the measured values from the sensor device when the mobile device is within range of the sensor device, and may present a survey to the user that includes one or more questions that prompt the user to report their comfort level with respect to the measured environmental conditions. The mobile device and / or another computing device may build a profile for the location and / or the user based on the values and the user's reported comfort levels.

The invention is suitable for the technical field of air conditioners, and provides an air conditioner intelligent regulation and control method which comprises the steps that outdoor environment data, indoor environment data and personnel state data are collected in real time, all the data are fused, and a comprehensive data set is generated; constructing a dynamic temperature gradient field based on the comprehensive data set; dividing functional areas, and calculating an influence relation matrix in combination with the dynamic temperature gradient field; taking the influence relation matrix as a core constraint condition, and adopting a multi-objective optimization algorithm to obtain an air conditioner regulation and control parameter set; and on the basis of the air conditioner regulation and control parameter set, the output parameters of all the air conditioner single bodies are gradually adjusted through a switching mechanism, dynamic global optimization of the air conditioner system on multiple targets such as energy saving, comfort and equipment service life is achieved, and the problems that regulation and control are lagged, energy consumption is too high, the comfort degree is not uniform, and equipment loss is large are effectively solved.

The invention discloses an air conditioner intelligent regulation and control method and device based on a comfort model. The method comprises the steps that firstly, the indoor environment temperature and the human body temperature are collected in real time through a sensor module; then, an environment comfort model to be used in a temperature interval corresponding to the indoor environment temperature is determined, and meanwhile, a human body comfort model to be used in a temperature interval corresponding to the human body temperature is determined; inputting the indoor environment temperature into a to-be-used environment comfort degree model to obtain an indoor environment comfort degree value, and inputting the indoor environment temperature and the human body temperature into a to-be-used human body comfort degree model to obtain a human body comfort degree value; and air conditioner control parameters are determined based on the indoor environment comfort level value and the human body comfort level value. The air conditioner can be controlled according to changes of the indoor environment and changes of the human body temperature of the user, and therefore the experience comfort of the user is improved.

The invention relates to the technical field of energy-saving control, and discloses a self-adaptive energy-saving control method and system for building heating and ventilation equipment based on digital twinning. The method comprises the steps of collecting temperature and humidity in a building, heating and ventilation equipment operation, external environment and personnel flow data, extracting energy consumption fluctuation characteristics and performing coupling analysis on the energy consumption fluctuation characteristics and equipment operation data. A distributed lag regression model is constructed in combination with external environment data, the environment influence weight and trend are calculated, and a high-dynamic region is identified through fuzzy reasoning. Energy consumption is predicted based on high-dynamic area data, a waste value is calculated, equipment operation parameters are optimized, and a target power sequence is generated through population iteration. An adjusting instruction is generated through analysis and deployed to a control system, thermal sensation feedback and instantaneous power data are collected, comfort evaluation is conducted, and the adjusting instruction is updated for optimization control. According to the method, dynamic balance of energy conservation and comfort can be realized.

The invention provides an adjusting control method and system for a plate radiator fan, and relates to the technical field of adjusting control, which comprises the following steps: determining the initial rotating speed of the fan by acquiring indoor temperature and a target temperature value, monitoring the temperature gradient of an air inlet and an air outlet in real time, establishing a temperature gradient prediction model, and gradually increasing the rotating speed when the predicted gradient is less than a threshold value. When the indoor temperature is larger than the upper limit, the rotating speed is gradually reduced, and the optimal rotating speed value is recorded when the indoor temperature reaches the standard. The heat dissipation efficiency can be improved, energy waste is reduced, accurate control over the indoor temperature is achieved, and the comfort level of a user is improved.

The invention discloses an outdoor thermal comfort intelligent evaluation method and system taking a psychological state as a medium. The method specifically comprises the following steps: acquiring psychological index data and multi-scale parameters, wherein the multi-scale parameters comprise environmental physical parameters and physiological response parameters; inputting the environmental physical parameters and the physiological response parameters into a dynamic feature extraction module, and performing cross-modal feature fusion through environmental physical parameter coding and physiological time sequence feature extraction to generate a fusion feature vector; constructing a psychological intermediary prediction module according to the psychological index data, inputting the fusion feature vector into the psychological intermediary prediction module, and generating a dynamic adjustment coefficient; and inputting the fusion feature vector and the dynamic adjustment coefficient into a thermal comfort evaluation module, and outputting a multi-scale prediction result. According to the method, the problem of space-time alignment of environmental parameter transient and physiological response hysteresis is solved, and the individual adaptability and prediction reliability of outdoor thermal comfort evaluation are remarkably improved.

The invention relates to the technical field of wearing control, and discloses an intelligent sleeping bag temperature and humidity self-adaptive control method and system based on multi-source data, and the method comprises the steps: obtaining multi-modal data of user physiology, environment and system state; simulating and predicting a future physiological state vector of the user through a physiological digital twin module; evaluating an energy supply capability vector of the system through an energy management twin module; the cooperative control decision module receives the two vectors and generates a final control sequence by taking minimization of physiological discomfort as a target under energy constraint; adjusting the temperature and humidity in the sleeping bag according to the sequence; the system comprises a multi-modal data acquisition module, a physiological digital twinning module, an energy management twinning module, a cooperative control decision module and a physical execution module. According to the invention, parallel prediction and evaluation of user demands and system capabilities are realized through the double twin modules, optimal balance of comfort and energy efficiency is realized through collaborative decision, and the problems of hysteresis and lack of energy consumption management of a traditional control method are solved.

The invention discloses an air conditioner control method, device and equipment and a medium, and the air conditioner control method comprises the following steps: continuously collecting source parameters for air conditioner control, and inputting the source parameters into a preset neural network model to calculate a human body thermal comfort index value and a power prediction value of a current control period. Based on the data, the system can dynamically determine constraint conditions and predict a target human body thermal comfort index value in a next control period, so that energy efficiency optimization is performed under the condition that comfort is met. And the target air conditioner operation parameters are reversely solved through the genetic algorithm, so that the system can achieve optimal comfort control under the condition that the system operates at the lowest power. Intelligent and self-adaptive adjustment of the air conditioning system is achieved, the energy utilization efficiency is greatly improved, and energy consumption is reduced to the maximum extent.

The invention provides a self-adaptive assistance system and method for adjusting an exoskeleton based on a sweat sensor, and the system comprises a sweat amount detection chip which is embedded into the surface of wearable flexible clothes, is in contact with the skin of a human body, and is used for converting the detected sweat amount into an electric signal, and further converting the electric signal into a control signal; the knapsack comprises a control system, a driving system and a sensing system, and is worn on the trunk of the human body after being connected with the wearable flexible clothing; the power assisting device comprises a power assisting boot which is worn on the foot of the human body and connected with the driving system through a Bowden cable; and the specific output value of the power assisting device is controlled through the control signal. Dynamic matching of exercise intensity and mechanical assistance is achieved through an amplification control mechanism driven by sweat amount, gait phase compensation fed back by plantar pressure is combined, the energy utilization efficiency is improved by 20% or above, the problem that a traditional exoskeleton physiological-physical interface is disjointed is effectively solved, and the energy utilization rate is increased by 20% or above. The assisting synchronism is improved, and meanwhile the wearing comfort degree and the motion freedom degree are remarkably improved.

The invention discloses an air conditioner condensation prevention control method, device and system and an air conditioner, and belongs to the field of air conditioner condensation prevention. The air conditioner anti-condensation control method comprises the steps that after target parameters are obtained, a target threshold value is obtained through calculation based on the target parameters; and when the temperature difference value of the evaporator surface temperature and the dew point temperature is smaller than the target threshold value, anti-condensation control is conducted. According to the scheme, the threshold value is dynamically determined based on the indoor air humidity and the operation frequency of the compressor, and the threshold value is substantially the allowable minimum temperature difference safety boundary between the evaporator surface temperature and the dew point temperature. When it is monitored that the actual temperature difference between the two is lower than the dynamic threshold value, the controller automatically starts an anti-condensation measure; condensation can be prevented in time, condensation and water dripping of the indoor unit are prevented, the comfort level of a user can be guaranteed as much as possible, and the user experience is improved.

The invention relates to the technical field of smart home Internet of Things, and discloses a smart home Internet of Things interaction method, which comprises the steps of dynamically regulating and controlling indoor light brightness based on a user work and rest rule and ambient light change so as to match user experience requirements, and collecting real-time air quality and historical data for analysis, the operation mode of the air purifier is intelligently regulated and controlled to guarantee breathing health, energy consumption distribution is optimized according to behavior habits of family members and household appliance use conditions, an energy-saving control instruction is generated, and the refrigerating or heating power of an air conditioner is flexibly adjusted in combination with temperature and humidity sensor data and seasonal characteristics to improve the indoor comfort degree. Through the scheme of the embodiment of the invention, the problem of how to dynamically regulate and control the indoor light brightness according to the work and rest rule of the user and the ambient light change so as to solve the problem of inconsistent user experience can be solved, and the breathing health of the user is effectively protected through statistical analysis of a real-time air quality monitoring result and past historical data.

The invention discloses a production method and system of a sanitary towel with a self-adaptive temperature adjustment function, and relates to the field of sanitary towels. And obtaining physical sign data, blood volume and motion images. And based on the physical sign data, the blood volume and the motion image, predicting a human body state to obtain a menstrual state category. And based on the menstrual state category and the human body temperature, obtaining an adjustment temperature. And recording the body state through the neural network. According to the female menstrual period nursing product integrated with the intelligent temperature control system, through real-time monitoring and intelligent adjustment, the technical effects that the local optimum temperature can be maintained, menstrual period discomfort is relieved, and the comfort level and the health management level are improved are achieved.

According to the scheme, the temperature of all parts of the human body is monitored in real time through a temperature monitoring layer, semiconductor coolers in the corresponding areas are adjusted, zoned temperature adjustment is achieved, the comfort degree of the human body is effectively improved, heat is transferred through high-thermal-conductivity magnetic fluid, and the intelligent somatosensory adjusting mattress is suitable for being used in the field of mattresses. The high-thermal-conductivity magnetofluid is guided to move back and forth among different parts of the human body through the magnetic attraction effect of the second temperature adjusting combiner, discomfort of the human body caused by continuous heating or cooling of a certain part is avoided, in addition, flowing of the high-thermal-conductivity magnetofluid facilitates simplification of a temperature control structure, noise is avoided, and the service life of the temperature adjusting combiner is prolonged. The first temperature adjusting combiner can conduct fixed-point heating on specific parts of the human body and is suitable for hot compress physical therapy of people with cold bodies, in addition, a semiconductor temperature sensor is additionally arranged to compare the difference between the room temperature and the temperature of the human body, and people can be prevented from catching a cold in a whole-body heating mode after the situation that a quilt is kicked occurs.

The invention relates to an intelligent door and window adjusting method and device based on environmental data, and belongs to the technical field of smart home, and the method comprises the following steps: 1, a sensing module is used for obtaining temperature data, humidity data, noise data and carbon dioxide concentration and uploading the data to a control module; 2, the control module calculates a comprehensive comfort index by using weighted average according to the temperature data, the indoor and outdoor temperature difference data, the humidity data, the indoor and outdoor humidity difference data, the outdoor noise data and the carbon dioxide concentration; 3, the control module judges whether the comprehensive comfort index exceeds a threshold value or not, instructs the driving module to increase the opening and closing angle when the comprehensive comfort index exceeds the threshold value, and instructs the driving module to reduce the opening and closing angle when the comprehensive comfort index is lower than the threshold value; multi-environment parameter coupling adjustment can be carried out, and the adjustment fineness is high.

The invention discloses a waterproof and breathable water-cooling garment which comprises a vest body made of novel breathable fabric, the fabric is composed of polymer fiber filler and a water-repellent cloth cover, and a waterproof, moisture-permeable and breathable lining is arranged in the vest body; the extending part and the covering part are arranged on the vest main body; the adjusting device is arranged on the extending part and the covering part and comprises a plurality of groups of adjusting buckles which are arranged on the extending part and are distributed at intervals, and a connecting plug which is arranged on the covering part and is spliced with any group of adjusting buckles; the cool garment has the advantages that by means of the design of the novel breathable fabric and the waterproof, moisture-permeable and breathable lining, moisture is not prone to loss, the cooling effect is good, the duration time is long, and lasting cool experience is provided for a wearer in a high-temperature environment; by means of the adjusting device, the flexible fixing and adjusting functions are achieved, it is ensured that the vest is attached to the body curve, the problems of jamming, abrasion and skin injury caused by a traditional zipper fixing mode are solved, and the wearing comfort and stability are improved.

The application discloses a kind of indoor CO2 concentration and temperature interaction influence on human cognition test method, belong to indoor environment control field, mainly include: screening tester participating in experiment;Exposure environment construction: prepare environment cabin and set experimental condition, the experimental condition includes: set different CO2 concentration level, set different temperature level;Cognitive performance measurement: in exposure environment, different types of cognitive task test are carried out, and subjective response, physiological parameter and electroencephalogram are measured;Measurement data analysis: the measurement data under different types of cognitive tasks are processed, and the sensitivity of different types of cognitive tasks to different components in the environment is compared.The application supplements the existing evidence on the effects of increasing carbon dioxide concentration and temperature on humans by combining the use of psychological, physiological and neurological tests and comparing different cognitive tasks. At the same time, a deep learning cognitive comfort model is constructed based on time-domain EEG features, providing new insights into the effects of environmental factors on cognition and suggesting potential applications for optimizing cognitive comfort through environmental control.

The invention relates to a thermal comfort treatment method and device of an air conditioner, a medium and equipment. The method comprises the following steps: collecting target environment parameters at key parts in a real human body; searching a target comfort level corresponding to a target environmental parameter at the key part based on a preset corresponding relation between the environmental parameter and the comfort level sensed by a human body; and performing visual display on the target comfort corresponding to the key part. According to the technical scheme, the cost and errors of air conditioner thermal comfort testing can be reduced, and the testing efficiency is improved.

The application discloses a control implementation method and device of an intelligent air conditioning equipment. After detecting that a user's corresponding thermal sensation correction prompt is received, the method automatically determines the user's corresponding parameters, such as the user's thermal sensation feedback, current environmental parameters, the user's gender, age and the like, and further automatically corrects the user's current PMV value based on the determined parameters to obtain a corrected PMV value. The control device of the intelligent air conditioning equipment can intelligently adjust the working parameters of the intelligent air conditioning equipment according to the corrected PMV value, thereby improving the adjustment efficiency of the intelligent air conditioning equipment, meeting the needs of different users for environmental comfort, and providing an accurate comfortable environment for the user without manual control of the intelligent air conditioning equipment, even when the user is in a sleep state, thereby improving the user's use experience.

The invention discloses a control method and device of an intelligent fan, the intelligent fan and a medium. The invention relates to the technical field of fans, and the method comprises the steps that the environment temperature and the environment humidity are collected, and the sensible temperature is calculated based on the environment temperature and the obtained current wind speed; calculating a thermal comfort score by adopting an asymmetric thermal comfort model according to the sensible temperature; calculating a wet comfort score according to the environment humidity, and determining a state type according to the wet comfort score and the thermal comfort score; and controlling the intelligent fan according to the state type, the sensible temperature, the environment humidity and the wet comfort score. The real feeling of the human body on the hot and humid environment can be accurately judged, the environmental comfort can be effectively improved, and therefore the adjusting effect of the fan is improved.

The invention provides a building condensation intelligent monitoring and early warning method and method based on the Internet of Things, and the method comprises the steps: collecting the indoor and outdoor temperature and humidity, surface temperature, air volume, window control state, time-of-use electricity price and other multi-source data through an Internet of Things sensor, and carrying out the time synchronization, abnormality elimination, interpolation and normalization processing, constructing a state vector containing the dew point temperature; calculating a condensation risk index based on the temperature difference, determining an early warning time window by using a time sequence prediction model, and forming a safety constraint set in combination with the comfort level, the equipment working condition and the noise upper limit; defining a control action set according to the risk state and the constraint condition, and constructing a physical approximation and data driving fused environment response model; designing a reward function based on risk, energy consumption and comfort deviation, and training a control strategy through reinforcement learning; the method achieves the active prediction and intelligent prevention and control of the condensation risk of the building, gives consideration to the energy consumption and comfort, and has the characteristics of self-learning, self-adaption and high reliability.

The invention relates to the technical field of household appliances, and discloses an electrical equipment control method, device and equipment, a storage medium and a program product. Environment temperature data are collected in real time, a temperature change event in a sliding window is recognized, and the temperature change event is determined according to characteristic parameters of the temperature change event; and quantifying the temperature difference fatigue influence degree of the repeated temperature change stimulation on the user to obtain a temperature difference fatigue accumulated value. And according to the current temperature difference fatigue accumulated value and the change trend thereof, predicting the risk level of uncomfortable body feeling of the user in the future time period. Once the discomfort risk level exceeds the risk level threshold value, the electrical equipment is controlled in advance, the temperature difference fatigue accumulation speed is reduced, human body discomfort caused by frequent fluctuation or rapid change of the temperature can be effectively avoided, the environmental comfort level is remarkably improved, and therefore the user experience is improved.

The application provides a control method and device of a vehicle, the vehicle and a storage medium. The method comprises the following steps: acquiring an environmental parameter of a passenger compartment of the vehicle, and calculating a thermal comfort level of a passenger in the passenger compartment according to the environmental parameter; determining a human thermal value of the passenger in the passenger compartment according to the thermal comfort level; and controlling the vehicle according to the human thermal value. The application can improve the riding experience of the passenger.

The invention provides a compartment temperature control system, and relates to the technical field of computer processing, and the system comprises an information obtaining module which is used for obtaining historical temperature control data of a target building, and extracting temperature change characteristics from the historical temperature control data, and the temperature change characteristics comprise temperature fluctuation characteristics caused by room functions, orientation and personnel activities; constructing a temperature control database based on the historical temperature control data; the data acquisition module is in communication connection with the temperature control database and is used for acquiring real-time temperature data characteristics from the database; the thermal dynamic analysis module is used for analyzing the dynamic temperature change rule of the building under the different thermal load contextual models; and an efficiency verification subunit. According to the method, the differentiated temperature control strategy is intelligently formulated by sensing the position of the person and the working condition of the room, so that the heat energy consumption is remarkably reduced while the personalized comfort degree is improved.

To improve the comfort of a target space conditioned by an air conditioning system. A controller (60) of an air conditioning system (10) performs a first control action when a load index is lower than a reference value, and performs a second control action when the load index is higher than the reference value. The load index correlates with the air conditioning load of a target space (70). The first control action is an action of maintaining the blowout flow rate at a first flow rate and adjusting the blowout temperature so that the temperature of the target space (70) becomes a set temperature. The second control action is an action of maintaining the blowout temperature at the first temperature and adjusting the blowout flow rate so that the temperature of the target space (70) becomes a set temperature.