117 results about "Thermal sensation" patented technology

The invention provides a cold region city walking space layout generation design method based on dynamic thermal comfort prediction. According to the invention, based on big data and IoT data, a cold region walking space way-finding agent model is constructed to obtain pedestrian trajectories of all travel periods in cold region walking spaces with different layouts; based on the pedestrian physiological index data, constructing a mapping relationship between the pedestrian thermal sensation and the thermal environment of the walking space in the cold region so as to obtain pedestrian thermal sensation conditions under different thermal environment changes; the cold region walking space layout is optimized based on pedestrian heat feeling prediction results in typical pedestrian routes in all time periods, and a cold region walking space layout design decision model guided by the decision preference of a designer is obtained based on a machine learning model and decision feedback of the designer on a visual scheme. Compared with the prior art, the method provided by the invention has the advantages of higher simulation degree and pertinence and high efficiency in allusion to pedestrian thermal feeling prediction in the walking space in the cold region.

This invention provides a thermal comfort evaluation method based on infrared thermal imaging technology, comprising: real-time acquisition of infrared thermal imaging data of a target object; determination of skin temperature data of the region of interest on the target object's face based on the infrared thermal imaging data; calculation of the thermal sensation level using the skin temperature data and a thermal sensation evaluation model; and adjustment of the temperature setting of the target device according to the thermal sensation level. This invention uses only the skin temperature of a single area (e.g., facial skin temperature) to evaluate thermal sensation, which is simple, convenient, and highly accurate; it does not require the user to wear a smart device to collect skin temperature, directly acquiring the user's facial skin temperature in a non-contact manner.

The invention provides an air conditioner control method, device and equipment based on non-contact human body heat feeling prediction. The method comprises the steps that according to a first interval duration, latest environment parameters and skin temperature data collected by a sensor module are obtained in a timing mode; inputting the newest environmental parameters and the skin temperature data into a TSV prediction model, and determining the current thermal comfort condition of the target individual based on an output thermal feeling prediction value; and after warm air control parameters corresponding to the thermal comfort condition are obtained according to a preset warm air adjusting strategy, the air conditioning system is controlled according to the warm air control parameters. According to the embodiment of the invention, the TSV prediction model is jointly constructed by using the latest environmental parameters and the skin temperature data, so that the individual thermal feeling can be accurately reflected, the air conditioning system can be regulated and controlled according to individual differences, and the personalized thermal comfort experience of a 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.

A visual synthesis-based virtual or augmented reality pain treatment apparatus and device. In the apparatus, an interaction control unit generates a pain stimulation scheme matching a current patient to be treated and sends the pain stimulation scheme to a data processing unit. The data processing unit, on the basis of the received pain stimulation scheme, generates a virtual reality environment and a virtual stimulation source visible to the patient in the virtual reality environment. A display unit displays the virtual reality environment and the virtual stimulation source to said patient. The data processing unit, on the basis of a pain category to be induced, determines a stimulation target of a limb and parameters of the virtual stimulation source. The display unit drives the virtual stimulation source to implement a visual approaching motion to the stimulation target of the patient so as to achieve non-real stimulation. The somatosensory system of the patient is activated by means of a vision-nerve coupling mechanism to induce the patient to feel a tactile sensation, a thermal sensation, and / or a cold sensation at the stimulation target and in a nearby area thereof, thereby achieving neuromodulation therapy of a pain pathway.

Methods and devices for manipulating the temperature of a surface are generally provided. The present disclosure relates to a device including one or more heating and / or cooling elements, or other suitable thermal adjustment apparatus(es), placed near a surface, such as the skin of a user. The device may be configured to generate one or more (optionally alternating) thermal profiles at the surface, which may include a series of thermal pulses and / or essentially continuous or semi-continuous thermal input, which may vary over time. Such thermal profiles, when suitably applied, may provide enhanced thermal sensations for a user which, in some cases, may provide the user with a more pleasurable thermal experience than would otherwise be the case without the generation of the thermal profiles. In some embodiments, an alternating thermal profile may include an average frequency, an oscillation window, and / or an average temperature, each of which may be adjustable.

The invention discloses an intelligent management system and method for a vehicle-mounted air conditioner, and relates to the technical field of vehicle environment control systems.The system comprises a multi-mode environment sensing module, a passenger thermal comfort degree dynamic evaluation module, a thermal load prediction and energy efficiency optimization module, an intelligent actuator cooperative control module and a central processing and data fusion unit; the method comprises the following steps: acquiring environment and physiological data through a multi-source sensor; a deep neural network model is utilized to classify and recognize the thermal sensation state of the passenger, and a unified dynamic comfort index is generated; combining vehicle bus data and navigation information to predict a future cabin thermal load, and constructing a multi-target optimization problem with energy consumption minimization as a target; solving an optimization problem to generate an optimal control strategy combination; and an actuator is driven to cooperatively act through a closed-loop control algorithm. The method improves the recognition precision of the real thermal feeling of the passengers, reduces the energy waste, optimizes the comfort and energy efficiency in a collaborative manner, and reduces the average operation power consumption of the air conditioning system by more than 15%.

The present invention discloses a non-invasive multivariate prediction system and method for human thermal comfort, comprising a thermal comfort prediction module based on thermal adaptive action, a thermal comfort prediction module based on multi-region temperature of human face, and a PMV evaluation module dominated by ambient temperature. Compared with the prior art, the present invention does not require sensor skin contact and behavioral restrictions, and only uses a camera to remotely collect three-dimensional information and images of the human body, with little subjective influence of thermal sensation. The prediction results of the three prediction modules are comprehensively considered, and weights are introduced through prediction accuracy and voting probability to achieve characteristic complementarity between modules, with high prediction accuracy.

Methods and apparatuses for manipulating the temperature of a surface are provided. Devices of the present disclosure may include a thermal adjustment apparatus, such as a controller in electrical communication with one or more thermoelectric materials, placed adjacent to the surface of skin. The device may generate a series of thermal pulses at the surface, for providing an enhanced thermal sensation for a user. The thermal pulses may be characterized by temperature reversibility, where each pulse includes an initial temperature adjustment, followed by a return temperature adjustment, over a short period of time (e.g., less than 120 seconds). The average rate of temperature change upon initiation and upon return may be between about 0.1° C. / sec and about 10.0° C. / sec. In some cases, the average rate of the initial temperature adjustment is greater in magnitude than the average rate of the return temperature adjustment.

To suppress air conditioning control which becomes too cold and too hot.SOLUTION: An air conditioning system 100 according to a first aspect is an air conditioning system 100 that performs air conditioning of an air-conditioned space 200, and includes a subject information acquisition unit 162 that acquires subject information that is information on a subject 201 including presence or absence of the subject 201 in the air-conditioned space 200, an environment information acquisition unit 161 that acquires environment information of the air-conditioned space 200, a heat generation amount derivation unit 163 that derives a heat generation amount of the subject 201 using the subject information, and an operation control unit 165 that controls an air-conditioning operation to lower a thermal sensation index when the heat generation amount in the air-conditioned space 200 increases by a first heat amount or more within a first time, and controls the air-conditioning operation to raise the thermal sensation index when the heat generation amount in the air-conditioned space 200 decreases by a second heat amount or more within a second time.SELECTED DRAWING: Figure 3

According to the method and the device, the comfort of each user in a plurality of users sleeping in one room is achieved. The control unit (121) performs control processing on the air conditioning unit (101) which performs air conditioning processing. The air conditioning process is used to adjust one or more physical quantities including at least an air temperature of the air within the room. The control processing includes setting processing. The setting process is used for setting a target temperature of the air conditioning process during a sleep period in which a plurality of users are sleeping in the room. A proposal unit (122) acquires proposal information that proposals, to each of a plurality of users, a thermal resistance member such that an evaluation value relating to a thermal sensation of each of the plurality of users at a target temperature satisfies a comfort condition. The thermal resistance member covers the body of each of the plurality of users during the sleep period to prevent heat loss from the body into the room. The proposal unit (122) outputs, via the output unit (13), one or more pieces of proposal information among a plurality of pieces of proposal information corresponding to the plurality of users, the one or more pieces of proposal information corresponding to one or more users, respectively, among the plurality of users.

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.

A multi-area artificial fog pipe network control method and system based on a you only look once version 5 (YOLOv5) algorithm are provided. The method includes: obtaining thermal sensation data of each target person based on facial skin temperature; calculating group thermal sensation data of each subarea and total group thermal sensation data of an artificial fog pipe network area; determining a total flow of fog-making water introduced into the artificial fog pipe network according to target number of people and total group thermal sensation data; controlling opening gears of atomization nozzles on the artificial fog pipe networks in subareas according to a number of the target person in each subarea, the group thermal sensation data and a micro-action type of each target person.

The invention relates to the technical field of artificial intelligence, and discloses an air conditioner temperature adjusting method, device and equipment and a medium, and the air conditioner temperature adjusting method comprises the steps that target objects in a target area are recognized, and the target object positions and the target object number of the target objects are obtained; according to the position of the target object, identifying a thermal adaptation action corresponding to the target object, and determining a thermal feeling corresponding to the thermal adaptation action; the current temperature of the target area is obtained, and the regulation and control temperature of the target area is determined according to the current temperature, the number of the target objects and the thermal sensation; and dynamically adjusting the temperature of the air conditioner according to the regulation and control temperature. The beneficial effect is that more accurate temperature control is realized.

Methods and apparatuses for manipulating the temperature of a surface are provided. Devices of the present disclosure may include a thermal adjustment apparatus, such as a controller in electrical communication with one or more thermoelectric materials, placed adjacent to the surface of skin. The device may generate a series of thermal pulses at the surface, for providing an enhanced thermal sensation for a user. The thermal pulses may be characterized by temperature reversibility, where each pulse includes an initial temperature adjustment, followed by a return temperature adjustment, over a short period of time (e.g., less than 120 seconds). The average rate of temperature change upon initiation and upon return may be between about 0.1° C. / sec and about 10.0° C. / sec. In some cases, the average rate of the initial temperature adjustment is greater in magnitude than the average rate of the return temperature adjustment.

To appropriately judge hot / cold sense of an object person in accordance with an environment.SOLUTION: An air conditioning system 100 includes: a movement information acquisition section 121 that acquires movement information on an object person 201; a biological information acquisition section 122 that acquires biological information; an environmental information acquisition section 126 that acquires environmental information on an air-conditioned space 200; a heat production amount calculation section 124 that calculates a heat production amount of the object person 201 by using at least one of the movement information and the biological information; a heat release amount calculation section 127 that calculates a heat release amount of the object person 201 by using at least one of the movement information and the biological information and the environmental information; a thermal balance amount calculation section 128 that calculates a thermal balance amount of the object person 201 from a difference between the heat production amount and the heat release amount; and an operation control section 162 that controls an air-conditioning operation on the basis of the calculated thermal balance amount and a target thermal balance amount.SELECTED DRAWING: Figure 3

Disclosed are a haptic feedback device and a virtual reality (VR) interface device for simultaneously providing thermo-touch haptic feedback. The haptic feedback device includes a thermal sensation providing unit configured to provide a thermal sensation to a user; a touch sensation providing unit configured to provide a touch sensation to the user; and a fixing device configured to fix at least a portion of the thermal sensation providing unit and at least a portion of the touch sensation providing unit, the thermal sensation providing unit includes a substrate; at least one thermoelectric device (TED) formed on the substrate; and a thermal pad formed on the at least one thermoelectric device (TED), and the touch sensation providing unit includes a base with a hole formed; and a film configured to bond to the base and to elongate according to the air pressure provided through the hole.

To provide an information processing apparatus, etc. capable of supporting construction of thermal environments in both a bedroom and a bed suitable for an individual user.SOLUTION: An information processing apparatus 100 includes a storage unit 130 and an arithmetic processing unit 120. The storage unit 130 stores attribute information including one or both of user's biological information and user's preference information about coldness and hotness. The arithmetic processing unit 120 specifies to which of a plurality of preset thermal sensation groups the thermal sensation of the user belongs, using user's attribute information stored in the storage unit 130, and determines a combination of a room temperature and warming performance of bedding and sleep wear while the user is sleeping according to the thermal sensation group that the user's thermal sensation belongs. The information processing apparatus 100 further includes an output unit 140 for outputting the combination of the room temperature and the warming performance of bedding and sleep wear while the user is sleeping.SELECTED DRAWING: Figure 1

This application provides a method, device, electronic device, and storage medium for controlling the comfort of vehicle occupants. The solution includes: determining whether a clothing change event has occurred based on an image sequence of the occupants; determining the current clothing thermal resistance parameter when a clothing change event is confirmed; determining the current predicted thermal sensation based on the current clothing thermal resistance parameter; and adjusting the cabin environment actuator based on the current predicted thermal sensation and the target thermal sensation value. This application predicts heat changes through an algorithm and adjusts the cabin environment actuator in advance when a clothing change event is detected, before a physical change in body temperature occurs. This achieves proactive feedback, completely eliminating the lag in traditional automatic air conditioning adjustments, ensuring the user remains in a constant state of comfort throughout the entire clothing change process, achieving a "zero-wait" temperature control experience and seamless thermal comfort.

The application relates to a self-learning robot system based on real-time thermal comfort monitoring, comprising a mobile robot platform, an anti-interference human body perception module, a multi-target feature construction module, a public interaction and individualized parameter module, a semantic reasoning module, an algorithm adaptive individualized thermal comfort prediction module and an online learning and model updating module. The anti-interference human body perception module identifies real human body targets; the multi-target feature construction module performs target consistency correlation and establishes a multi-modal human body feature set; the public interaction and individualized parameter module obtains current thermal sensation feedback, and calls an individualized thermal comfort parameter set in response to an individualized thermal comfort service request; the semantic reasoning module outputs structured thermal comfort semantic features; the algorithm adaptive individualized thermal comfort prediction module outputs real-time thermal sensation prediction; and the online learning and model updating module performs incremental updating. The application can accurately reflect the real thermal sensation of the current interactive personnel.

The invention discloses an old people thermal health prediction system and prediction method, and the system comprises a parameter input module which is used for inputting personal parameters and environmental parameters, and determining a thermal environment where an individual is located; the thermal health state judgment module is used for analyzing the input parameters, predicting physiological parameters, thermal sensation and thermal comfort through a thermal regulation-cardiovascular regulation-thermal comfort coupling mechanism model, and judging the thermal health state of the individual according to the numerical value of the physiological parameters, the thermal sensation and the thermal comfort; and the thermal health state output module is used for outputting the thermal health state of the individual. By means of the system, prediction of personal physiological parameters, thermal sensation and thermal comfort in different thermal environments can be achieved, and then the thermal health states of the human body in the different thermal environments can be obtained. And then visual thermal health state prompts are provided for the old people through a visual module, so that the old people can conveniently adjust the thermal health state.

The invention discloses an environment control method and system based on wind speed sensitivity, and the method comprises the steps: carrying out the weakness grade division (non-weakness, weakness early stage and weakness) of old people according to a Fried weakness phenotype; secondly, through a subjective thermal sensation voting (TSV) experiment, personalized wind speed threshold models of old people with different weakness levels under various operation temperatures are established; then, monitoring the head skin temperature and the sweat amount of the user in real time by using an infrared thermal imager and a skin conductivity sensor; and finally, based on the real-time physiological data, the environment temperature and a preset wind speed threshold model, the wind speed of the fan is controlled through a dynamic adjustment algorithm, an attenuation mode is started when the wind speed is close to a tolerance threshold, and meanwhile the environment temperature is cooperatively adjusted. According to the invention, precise and dynamic environment regulation and control of the elderly, especially the weak elderly in the early stage is realized, the thermal comfort is effectively improved, discomfort caused by too strong wind speed is avoided, and the system is especially suitable for the scenes such as nursing homes and apartments for the elderly.

The application provides a floor radiation air conditioning system intelligent control method and system, in which indoor personnel load estimation data and thermal comfort calculation data are acquired to estimate the indoor personnel load; a thermal sensation prediction model is established based on indoor environment parameters and the thermal comfort calculation data; an indoor environment and energy consumption prediction model is established based on indoor and outdoor environment parameters, equipment parameters and air conditioning system operation parameters, so that the indoor environment after adjustment of the air conditioning system and the energy consumption of the air conditioning system are predicted; indoor and outdoor environment parameters, indoor personnel load, thermal sensation and air conditioning system energy consumption are used to respectively construct a personnel thermal comfort target function and an energy consumption target function, and a total target function is determined according to the weight of the personnel thermal comfort target function and the energy consumption target function; the improved Melolontha optimization algorithm is applied to solve the total target function, so that the optimal regulation and control parameters of the floor radiation air conditioning system control are obtained, and the reliability of the floor radiation air conditioning system control is effectively improved.

The invention relates to the technical field of air conditioners, in particular to an air conditioner control method and device, an air conditioner and a storage medium. Determining a neutral environment parameter and a target environment parameter based on the theoretical change curve, wherein a deviation value between the neutral environment parameter and the target environment parameter is a preset deviation; the operation of the air conditioner is controlled; the actual environment parameters of the indoor space where the air conditioner indoor unit is located periodically change between the neutral environment parameters and the target environment parameters, so that the actual environment parameters of the area where the air conditioner indoor unit is located can correspondingly change according to a theoretical change curve of the self-adaptive prediction average thermal sensation index. The method adapts to the hot feeling degree of the human body, better meets the comfort requirement of a user, and avoids the technical problems that in the prior art, the control logic of an air conditioner does not consider the hot feeling degree factor of the human body, and comfort is poor.

The invention relates to the technical field of robots, in particular to a flexible thermal sense robot electronic skin system capable of improving human-computer interaction comfort. The core of the method is that a closed-loop intelligent interaction framework is constructed, and the framework is materialized into a multi-layer flexible hardware system capable of being attached to the surface of a robot. The system comprises a multi-layer flexible composite structure and a controller, wherein the multi-layer flexible composite structure comprises a top encapsulation layer, a heat conduction layer, a non-contact proximity sensing layer, a distributed active heat management layer and a bottom encapsulation layer. According to the system, the skin of the robot can be intelligent, and the contact area is actively and accurately adjusted to the comfortable temperature before user contact is predicted, so that the mechanical ice-cold feeling of a traditional robot is eliminated, and warm, natural and seamless man-machine physical interaction is achieved.

The invention discloses a classical garden space environment evaluation method based on a landscape visual quality and thermal comfort coupling model. The classical garden space environment evaluation method comprises the steps that garden basic data, microclimate actual measurement data, landscape beauty degree scores, thermal sensation voting data and visual quality-thermal comfort weight scores of multiple target measurement points in a target classical garden are acquired; obtaining a landscape visual quality grade map based on the landscape beauty degree score and the garden basic data; obtaining a thermal comfort level map based on the thermal feeling voting data and the microclimate measured data; and based on visual quality-thermal comfort weight scoring, determining a final weight for coupling analysis, and performing weighted overlay analysis on the landscape visual quality grade map and the thermal comfort grade map to generate a coupling grading map of the target classical garden. The visual quality and thermal comfort coupling evaluation method accurately adapts to classical garden space and aesthetic characteristics, gives consideration to space-time dynamic changes and considers crowd perception differences, and provides a scientific basis for classical garden protection.

A warm / cold feeling prediction device (100) comprises: a personal region detection unit (104) that detects, from a thermal image indicating the temperature distribution in a predetermined space, a personal region that is narrower than the predetermined space and is a region of an individual present in the predetermined space; a local humidity estimation unit (106) that estimates a local humidity, which is the humidity of the personal region; and a warm / cold feeling prediction unit (107) that predicts the warm / cold feeling of the individual by using the local humidity.

The invention discloses an old people thermal comfort prediction method and system. Four groups of subjective feeling models for predicting TSV (thermal sensation) and ASV (wind sensation) of the old people with different weakness levels are respectively constructed on the basis of multi-dimensional parameters of the old people with different weakness levels, wherein the multi-dimensional parameters comprise environmental parameters, body parameters, physiological parameters, skin temperature change characteristics, skin temperature and sweating amount change characteristics and overall and local flow changes. The TSV (thermal sensation) and ASV (wind sensation) subjective feeling models are used for predicting the TSV (thermal sensation) and ASV (wind sensation) of the old people with different weakness levels. And meanwhile, an optimal model feature subset is extracted by adopting recursive feature elimination, and a prediction model with optimal performance is established. The method can provide solid data basis and modeling method support for subsequent intelligent control of the thermal environment suitable for aging.

The thermal sensation control system includes: a thermal sensation estimating unit (S230) for estimating an actual thermal sensation as an actual thermal sensation of a user's body; a thermal sensation range determining unit (S140) for determining a range of thermal sensation achievable by one or more thermal devices as a settable range of thermal sensation of a target thermal sensation based on at least one of heat load information when the user's thermal sensation is adjusted by one or more thermal devices and the capabilities of each of the one or more thermal devices; a display control unit (S150) for displaying the set range of the target thermal sensation on the setting screen in the following manner: causing the target thermal sensation and the actual thermal sensation estimated by the thermal sensation estimating unit to be displayed on the setting screen, and enabling the user to set the target thermal sensation within the range of thermal sensation determined by the thermal sensation range determining unit; and an action control unit (S170) for controlling the action of the one or more thermal devices based on the target thermal sensation displayed on the setting screen and the actual thermal sensation estimated by the thermal sensation estimating unit.

The application provides a cabin personnel thermal sensation evaluation method and system based on infrared thermal imaging, comprising the following steps: S1, collecting the temperature of an imaging area, the solar radiation intensity in the vehicle cabin and the air temperature in the breathing area of the vehicle passenger in real time; S2, extracting the cheek area temperature in the thermal image and carrying out denoising processing to obtain a cheek skin temperature signal; S3, transmitting the air temperature, the solar radiation intensity and the cheek skin temperature to a vehicle cabin thermal sensation calculation model to calculate a thermal sensation grade; and S4, generating a corresponding air conditioner temperature adjustment instruction according to the thermal sensation grade of the vehicle passenger and transmitting the instruction to a microcontroller, and the microcontroller sends the instruction to a cabin air conditioner main controller to adjust the set point of the air conditioner. The application evaluates the thermal sensation by using the skin temperature of a single part, is simple and portable, does not need to use the skin temperature of multiple nodes as input, and has high accuracy.