105 results about "Thermal sensation" patented technology

The invention provides a thermal and humid environment integrated control air-conditioning system and method based on thermal comfort evaluation. The comfort operating level and the corresponding PWV numerical range of an air conditioner are set in strict accordance with national standards, the air conditioner is made to have the humidification adjusting function, an average thermal sensation index PMV value is calculated by acquiring air temperature, relative air humidity, average radiation temperature, wind speed, metabolic rate and clothing thermal resistance and compared with a preset comfort PMV value interval, and the air supply speed, the refrigerating / heating operating state and the humidifying / dehumidifying operating state of the air conditioner are intelligently adjusted according to the comparison result, so that a target area is in a comfort state satisfying the human body, the comfort requirement of the human body is met, the thermal comfort environment of the target area is easily improved, and energy conservation and emission reduction of a building are promoted. The principle and parameter setting of the system and method are scientific, and the operation method is simple and easy to control and implement.

The invention provides a control method of an air conditioner, the air conditioner and a storage medium. When a starting instruction is received, the indoor space is monitored, and when a human body is detected, a human body image in a monitoring area is obtained; next, a clothes ROI is obtained based on the human body image, and when a training model matched with the clothes ROI exists in a pre-arranged clothes classifier, the warm-keeping index of clothes currently worn by the human body is obtained; then, the cold-thermal sensation level of the human body is judged according to the warm-keeping index and / or the current outdoor temperature; and finally, whether a current operating mode of the air conditioner is matched with the cold-thermal sensation level or not is judged, and an alarmprompt or an adjusting instruction is output when the current operating mode of the air conditioner is not matched with the cold-thermal sensation level. The situation that the operation mode of the air conditioner is mistaken due to misoperation of the human body, and consequently a user has heatstroke or catch a cold is avoided, the comfort of the air conditioner is improved, and the health of the user is ensured.

The invention discloses a spontaneous type temperature sensing mask. The spontaneous type temperature sensing mask is prepared from the following components in percentage by weight: 0.1-20 percent of a humectant, 0.01-10 percent of a thickener, 0.01-5 percent of an emulsifier, 0-20 percent of grease, 0.0001-1 percent of a heating agent, 0.01-10 percent of an active matter, 0.1-5 percent of a preservative, 0.001-2 percent of essence or essential oil and the balance of deionized water and is prepared by the following steps: adding the components into an emulsification boiler, and uniformly stirring to prepare a pasty, emulsion-shaped or jelly-shaped mask, or mixing a water phase and an oil phase to prepare a liquid face pack. According to the spontaneous type temperature sensing mask disclosed by the invention, by adding the heating agent, when being coated or adhered to skin, the spontaneous type temperature sensing mask can produce spontaneous thermal sensation so as to lower a temperature difference between the skin and the mask material body and improve compliance of the skin; and meanwhile, the heating agent is capable of promoting blood circulation of the skin and accelerating metabolism of the skin and is beneficial to absorption of the active matter. A preparation process of the spontaneous type temperature sensing mask is simple and feasible and is convenient in popularization and application.

The present invention relates to a heat-retaining fiber structure comprising a cloth layer having a moisture / heat release control capability laminated with a cloth layer having water molecule adsorption / heat release capability, wherein said cloth layer having the moisture / heat release control capability has a moisture permeability of 3000-12000 g / m<2>.24 hr and said cloth layer having water molecule adsorption / heat release capability has an exothermic energy index of 5 or larger and a contact thermal sensation factor (qmax) of 0.1 W / cm<2 >or less. This constitution makes it possible to provide clothing having high heat-retaining performance achieved by water molecule adsorption capability.

A thermal sensation analyzing device includes a first detecting unit, a second detecting unit, and an analyzing unit. The first detecting unit detects skin temperature of a person. The second detecting unit detects a predetermined cyclic-fluctuation pattern in the skin temperature. The analyzing unit analyzes thermal sensation of the person based on the cyclic-fluctuation pattern.

The invention discloses an indoor thermal environment control system predicting a thermal sensation based on an artificial intelligence technology. The indoor thermal environment control predicting the thermal sensation based on the artificial intelligence technology comprises the following steps that S1, an initial value of the comfort skin temperature of a user is set according to a recommendedcomfort temperature value, an infrared thermal imaging camera is used for shooting an infrared image of the user, and the skin temperature is identified according to thermal imaging; and S2, if the user inputs the thermal sensation such as 'feeling too cold' and 'feeling too hot'' through an HMI, the comfort domain for the skin temperature of the user is updated accordingly.

The invention belongs to the field of air conditioning, and relates to a dynamic optimization method of environmental control parameters in a subway station based on an RWI index. The optimization method comprises the following steps of setting the RWI value of the maximum relative heat index in the station according to the environmental parameters outside the subway station collected in real time; preliminarily setting the environmental parameters of each area in the station; drawing an RWI value change curve of passengers during the whole subway ride; determining the step-up position of theRWI value in the station; adopting a local optimization measure to reduce the RWI value in the area; in the area of reducing the RWI value, raising setting values of temperature and humidity as a whole; according to the rules for determining the thermal comfort environment parameters of human body in the station, determining a plurality of the setting values of the environmental parameters; and selecting the setting value of the environmental parameters to minimize the load of an air conditioning in the station. By means of the dynamic optimization method, the influence of different environmental parameters outside the station on the thermal comfort of the passengers inside the station is fully considered, the setting values of the environmental parameters inside the station according to the changes of the environmental parameters outside the station in real time can be dynamically adjusted, and the local optimization measure is adopted for the larger thermal sensation inside the station, so that the thermal comfort needs of the human body in the station are met, and the energy consumption of the air conditioning is saved.

The invention belongs to the technical field of heating and ventilation, and discloses an individual thermal comfort control system and control method based on computer vision monitoring. The control system comprises a data acquisition system, an information processing system, an intelligent voice inquiry module, a tail end control system and a biological real-time system; the data acquisition system comprises a semi-contact measurement unit and a non-contact measurement unit; the non-contact measurement unit comprises an infrared sensor and a camera; a skeleton node identification module and an Euler video amplification module are arranged in the camera; the information processing system comprises a storage module, a human body thermal sensation estimation module and a comparison module; the human body thermal sensation estimation module is used for obtaining a predicted thermal sensation value; the comparison module is connected with the intelligent voice inquiry module; the tail end control system comprises a tail end controller, and the tail end controller is connected with external equipment; and the data acquisition system and the human body thermal sensation estimation module are connected with the biological real-time system. The problem that thermal comfort cannot be met in the prior art is solved.

An apparatus control system includes a metabolic amount measurement device measuring a metabolic amount, and an apparatus control device controlling a heating-cooling combination apparatus. A control content storage unit stores thermal sensations and control contents of the heating-cooling combination apparatus. The metabolic amount measured by the metabolic amount measurement device is inputted to an input unit. A metabolic amount storage unit stores a history of the metabolic amount inputted to the input unit before. A calculation unit calculates the thermal sensation using the metabolic amount inputted to the input unit. A correction unit corrects the thermal sensation calculated by the calculation unit using the history of the metabolic amount stored in the metabolic amount storage unit. An apparatus control unit controls the heating-cooling combination apparatus according to a control content stored in the control content storage unit in association with the thermal sensation corrected by the correction unit.

The invention discloses an artificial neural network algorithm based indoor environment negative feedback adjustment system. The artificial neural network algorithm based indoor environment negative feedback adjustment system comprises a data processing platform, an intelligent control system, an indoor environment monitoring system, a human thermal sensation feedback system and a basic item parameter input system; and the data processing platform is connected with the intelligent control system. according to the artificial neural network algorithm based indoor environment negative feedback adjustment system provided by the invention, each weight matrix is obtained after environment parameters and human hot sensation feedback values are subjected to feedback calculation through a model, and a scheme of improving the human comfort evaluation indexes is provided after the intelligent control system processes the weight matrixes, and correction values of indoor environment parameters areobtained through data processing; the artificial neural network algorithm based indoor environment negative feedback adjustment system can monitor the indoor environment wholly, can realize feedback automatic adjustment, has a learning function and can obtain the optimal indoor environment parameters automatically based on different environments.

The invention provides a method for evaluating the comfort level of a subway carriage in a thermal environment in summer. On the basis of the field research on main urban subway lines, a membership function between an influence factor and a thermal feeling of the thermal environment of a subway carriage is established by utilizing a fuzzy statistical method. According to the method, the expert evaluation and the analytic hierarchy are combined, and then a weight value of the influence factor of the thermal environment of the subway carriage is determined. Based on the fuzzy comprehensive evaluation method, the method for evaluating evaluating the comfort level of the subway carriage in the thermal environment in summer is established, wherein the temperature, the relative humidity, the wind speed, the thermal resistance of clothes and the riding state are substituted into an evaluation model. After that, the thermal feeling of the riding personnel can be calculated. Based on the evaluation method, the comfort level of the thermal feeling of a human body in a subway carriage in different thermal environments can be calculated relatively accurately. Therefore, the method provides a reference for making an operation control strategy for air conditioners in the subway.

In a method for estimating thermal sensation, thermal environment information at least regarding a thermal environment of or around a person is obtained, (1) a method for estimating a first thermal sensation, (2) a method for estimating a second thermal sensation, or (3) both the method for estimating the first thermal sensation and the method for estimating the second thermal sensation is selected as a method for estimating thermal sensation, which indicates a degree of warmth or coldness of the person, on the basis of the thermal environment information, and the thermal sensation is estimated using the selected method.

Comfortable sensation of living bodies is estimated, considering individual differences in biological information on the living bodies staying or residing in a common space, and stimulation contents is properly controlled. A stimulation generator 300 generates a stimulation to be applied to users. Biological information acquirers 101a and 101b acquire time-series data of biological information on the users. Parameter extractors 102a and 102b extract a parameter which is changed with a lapse of time by analyzing the time-series data. Thermal sensation estimators 103a and 103b estimate statuses of the users to the stimulation generated by the stimulation generator 300, based on the parameter extracted by the parameter extractors 102a and 102b. A multi-user thermal sensation processor 105 integrates estimation results on the users estimated by the thermal sensation estimators 103a and 103b into a single estimation result. A stimulation controller 104 controls the stimulation generator 300 based on the integrated estimation result.

A sleeping environment control system and method includes sensing a condition of environment to obtain a value of an environmental condition parameter, and then generating a value of a thermal sensation indicator according to the value of the environmental condition parameter. A physiological status of a user is sensed to obtain a value of a physiological status parameter. After a plurality of values of the thermal sensation indicator and a plurality of values of the physiological status parameter are collected, a regression analysis is performed to obtain a best value of the thermal sensationindicator according to the plurality of values of the thermal sensation indicator and the plurality of values of the physiological status parameter. A value of an environmental condition setting parameter is adjusted according to the best value of the thermal sensation indicator.

The invention discloses an energy-saving building micro-region staff interactive thermal comfort degree adjusting method. The energy-saving building micro-region staff interactive thermal comfort degree adjusting method comprises the steps that a building is divided into micro-regions; a plurality of user thermal comfort degree intention temperatures in the micro-regions are collected; each user thermal comfort degree intention temperature plus a user thermal sensation calibration to serve as feedback input, training and learning are performed, and the user average thermal comfort degree intention temperature in each micro-region is obtained and subjected to variance calculation; and the environment temperatures of the micro-regions are monitored, the environment temperatures, the user average thermal comfort degree intention temperatures and the variances of the user average thermal comfort degree intention temperatures serve as input of a built thermal comfort behavioral model, the thermal gain function and thermal cost in the model are subjected to optimal balance solution calculation through a united convex optimization algorithm, a optimal solution is obtained, and HVAC self-adaption adjustment is conducted according to the optimal solution till the user thermal comfort gain reaches the set threshold value. According to the energy-saving building micro-region staff interactive thermal comfort degree adjusting method, electric energy can be effectively used while the user thermal comfort benefit is optimized, and the energy saving purpose is achieved.

The invention discloses a cold and thermal sensation value based air speed adjusting method. The method comprises steps as follows: when an air conditioner is in a cold and thermal sensation sleep mode, a cold and thermal sensation value of a user under the air speed set by the air conditioner currently is acquired; a cold and thermal sensation interval range of the cold and thermal sensation value is determined; the set air speed is adjusted with a preset algorithm, wherein the set air speed after adjustment is within an air speed threshold value in the cold and thermal sensation interval range. The invention further discloses a cold and thermal sensation value based air speed adjusting device. According to the method and the device, the air conditioner adjusts the currently set air speed automatically according to cold and hot feeling of the user under the currently set air speed, the problem that the user feels too cold or too hot due to the fact that the air conditioner operates at the air speed set by the user all along is solved, the flexibility of the air speed adjustment of the air conditioner is improved, and the operating air speed of the air conditioner better meets the requirement of the user.

The invention discloses a method for automatically controlling outdoor mist cooling based on outdoor environment human thermal sensation. The method comprises the following steps that firstly, environment parameters of a current large area are acquired; secondly, the environment parameters of the large area are calculated and analyzed, the human thermal comfort indexes of the current large area are obtained, then whether the human thermal comfort indexes exceed a preset threshold value or not is judged, if yes, the third step is executed, and otherwise operation returns to the first step; thirdly, a sensor is utilized for acquiring environment parameters of a current small area, the human thermal comfort indexes of the current small area are obtained through calculation and analysis, thenwhether the human thermal comfort indexes exceed a preset threshold value or not is judged, if yes, the fourth step is executed, and otherwise a spraying system is stopped and operation returns to thefirst step; and fourthly, the spraying system is started, and operation returns to the first step for cyclic execution. The method has the technical effects that under the principle of guaranteeing human comfort, the unnecessary running time of the spraying system can be reduced, and therefore the effect of saving energy is achieved.

The invention discloses an indoor physical environment comprehensive control system. The system comprises a mobile control device, a controller, a gateway, an environment sensor, a terminal device anda cloud server, wherein the controller is connected with the cloud server through the gateway, is in wireless connection with the environment sensor, and is in wired or wireless connection with the terminal device, and the mobile control device is connected with the cloud server. According to the heat adaptation theory and the heat feeling of a user, the system performs comprehensive adjusting onthe indoor heat and humidity environment through adjusting the running state of the terminal device, and according to the theoretical comfortable range of illuminance, noise, PM2.5, PM10, CO2 and humidity, the indoor sound environment, the indoor light environment, the indoor wind environment and the indoor healthy environment are adjusted in the light of the sequence of health, comfort and energy conservation through adjusting the running state of the terminal device, so that the use experience of the user is improved, and meanwhile the considerable energy conservation effect is achieved.

A sleeping environment control system and method includes sensing a condition of environment to obtain a value of an environmental condition parameter, and then generating a value of a thermal sensation indicator according to the value of the environmental condition parameter. A physiological status of a user is sensed to obtain a value of a physiological status parameter. After a plurality of values of the thermal sensation indicator and a plurality of values of the physiological status parameter are collected, a regression analysis is performed to obtain a best value of the thermal sensation indicator according to the plurality of values of the thermal sensation indicator and the plurality of values of the physiological status parameter. A value of an environmental condition setting parameter is adjusted according to the best value of the thermal sensation indicator.

The invention discloses an air conditioner control method which comprises the steps of when the environment temperature of the environment on which an air conditioner is located meets the temperature-reaching stop condition, acquiring the thermal sensation of a user in the current environment; acquiring the operating frequency of a compressor of the air conditioner according to the thermal sensation; and controlling the air conditioner to operate according to the operating frequency. The invention further discloses an air conditioner control device, the air conditioner and a computer readablestorage medium. Through setting a frequency threshold value of a temperature-reaching non-stop control rule based on the thermal sensation of a human body, the compressor of the air conditioner is controlled to operate, and the occurrence of the phenomenon that the air conditioner continuously cools / heats with the current operating mode due to the power off of the compressor is avoided, so that the indoor temperature change is ensured to be small, and the beneficial effect on avoiding the occurrence of the phenomenon that the indoor temperature change is big due to the temperature-reaching stop of the air conditioner during operating is achieved.

The invention discloses a predicting method of thermal-adaptability-based winter indoor thermal comfortable temperature in a severe cold area and belongs to the field of energy saving and environmentprotection. Through the method, the problems that through existing methods, the adaptability thermal comfort evaluation of only the whole heating period is performed, the average value is obtained through thermal sensation vote of each temperature interval during evaluation, consequently prediction of the winter indoor comfortable temperature of the severe cold area is not accurate, and the heating energy consumption is high are solved. The whole heating season is divided into three stages for evaluation, and important reference can be provided for heating design and operation adjustment of the severe cold area. Compared with the existing methods, a adaptability thermal comfortable model adopts a weight analysis method, larger weight is given to higher temperature distribution frequency and more thermal sensation votes, the obtained indoor comfortable temperature predicted values of the different heating stages of the severe cold area in winter consider the human body thermal adaptability, and the heating energy consumption can be reduced by 10%. The predicting method can be applied to the field of energy saving and environment protection.

A thermal sensation determining apparatus includes a skin temperature detecting unit configured to detect a skin temperature of a peripheral site of a subject's body, a variation state determining unit configured to determine a variation state of the skin temperature during a first interval to obtain a variation state determination result, a gradient detecting unit configured to detect a gradient of the skin temperature during a second interval to determine the gradient to obtain a gradient detection result, and a thermal sensation determining unit configured to determine the subject's thermal sensation using the variation state determination result and the gradient detection result to obtain a thermal sensation determination result classified into levels ranging from “hot” to “cold” based on a “moderate” temperature.

A double-structure headwear and a manufacturing method thereof may provide improved productivity by easily forming the double-structure headwear and provide a shielding effect against external heat and wearing comfort. The double-structure headwear includes a first wearing portion, and a second wearing portion being disposed on an inner side of the first wearing portion. The first and second wearing portions have each lower portion sewed and folded to a predetermined height in a vertical direction, and the first wearing portion has a lower thermal conductivity and lower contact thermal sensation than that of the second wearing portion.

The invention discloses an adaptive thermal comfort prediction model construction method, and the method comprises the steps: enabling an adaptive thermal comfort prediction model naPMV to be the ratio of PMV to PMV, and employing the following formula (shown in the specification) to calculate the adaptive factor phi, wherein in the formula, PMV is the predicted average voting value of a PMV model, the TSV is an actual average thermal sensation voting value, n is the total number of the acquired PMV and TSV data sets, i is the ith PMV and TSV data set. Furthermore, the calculation steps of theadaptive factor phi are as follows: (1) dividing the acquired PMV and TSV data groups into three types according to three conditions that PMV = 0, PMV< 0, PMV> 0; (2) if the PMV=0, enabling the calculated naPMV to be equal to the PMV; if the PMV < 0, enabling the result calculated according to the formula of the adaptive factor phi to be PMV <naPMV<0, and if the PMV>0, the result calculated according to the formula of the adaptive factor phi is 0<naPMV<PMV. Experiments prove that the method is high in accuracy and reliability, and the thermal comfort prediction performance is improved.

The invention provides a thermal parameter measuring method, device and a thermal sensation sensor. The method comprises steps: the voltage and the current when the thermal sensation sensor is contacted with a to-be-measured object are acquired, and according to the voltage and the current, the resistance when the thermal sensation sensor is contacted with the to-be-measured object is determined;according to the resistance and a pre-calibrated and obtained thermal sensation sensor resistance and temperature relationship, the actually-measured temperature of the contact surface between the thermal sensation sensor and the to-be-measured object is determined; and according to the relationship of the temperature along with changes of time when the thermal sensation sensor is contacted with the to-be-measured object and the actually-measured temperature of the contact surface between the thermal sensation sensor and the to-be-measured object, the thermal parameters of the to-be-measured object are obtained, wherein the relationship of the temperature along with changes of time is solved through a heat transfer model. The above technical scheme realizes the quantitative measurement ofthe thermal parameters of the to-be-measured object.

The invention discloses a thermal comfort modeling method based on a changed adaptability factor and a predicted average voting value. According to a formula: constructing a thermal comfort model naPMV, wherein in the formula, lambda is an adaptability factor and linearly changes along with the reciprocal of the environment temperature T, p and q in the formula are constant parameters and are calculated according to the following formula: (shown in the description) PMVi, TSVi and Ti in the formula are the ith thermal sensation prediction average voting value, the thermal sensation actual average voting value and the environment temperature which are collected in field research respectively; collecting n PMV, TSV and environment temperature T data sets in total, wherein PMVi and TSVi are respectively a thermal sensation prediction average voting value and a thermal sensation actual average voting value which are greater than zero after being preprocessed. According to the method, an adaptability method and an inference method are combined, and changed adaptability factors are introduced into an inference method model PMV, so that a new thermal comfort model naPMV is constructed. ThenaPMV model improves the thermal adaptation explaining capability of the model PMV, and can predict the thermal comfort more accurately and reliably.

The invention discloses an air conditioner control method. The method comprises steps as follows: acquiring thermal resistance information of a bedding system in a room in a sleep state and the bed surface temperature; calculating cold and thermal sensation states according to the thermal resistance information and the bed surface temperature; controlling an air conditioner to operate according to the cold and thermal sensation states. The invention further discloses an air conditioner control device. According to the air conditioner control method and device, the cold and thermal sensation states of a user are accurately provided, so that accuracy of air conditioner control is improved, and comfort of the air conditioner is improved.

Comfortable sensation of living bodies is estimated, considering individual differences in biological information on the living bodies staying or residing in a common space, and stimulation contents is properly controlled. A stimulation generator generates a stimulation to be applied to users. Biological information acquirers and acquire time-series data of biological information on the users. Parameter extractors and extract a parameter which is changed with a lapse of time by analyzing the time-series data. Thermal sensation estimators and estimate statuses of the users to the stimulation generated by the stimulation generator, based on the parameter extracted by the parameter extractors and. A multi-user thermal sensation processor integrates estimation results on the users estimated by the thermal sensation estimators and into a single estimation result. A stimulation controller controls the stimulation generator based on the integrated estimation result.

The invention discloses a method for constructing evaluation indexes of human body heat acclimatization training effect. The method includes the steps: selecting five variables, such as heart rate, rectal temperature, eardrum temperature, thermal sensation, and RPE as the analysis factors; normalizing each variable, using SPSS software to carry out factor analysis, and selecting a factor with an initial eigenvalue greater than 1 as a common factor; and finally, performing linear analysis of the comprehensive index grading system. The method for constructing evaluation indexes of human body heat acclimatization training effect reflects the heat acclimatization training effect under different conditions through a unified index, and the method is simple and versatile.