13 results about "Thermal manikin" patented technology

The invention discloses a comprehensive test system and method for clothing radiation and convection heat dissipation mechanism research, and belongs to the technical field of clothing thermal performance tests.The comprehensive test system comprises a thermal dummy model, an environment control module, a data acquisition module and a signal processing module, and the thermal dummy model simulates human physiological characteristics according to requirements to adjust the body surface temperature; the partitioned thermal control units are used for independently controlling the temperature of a trunk and four limbs; the environment control module comprises a wind tunnel system and a temperature and humidity bin. The data acquisition module is composed of an infrared thermal imager array and a thermopile sensor group embedded into the surface of the dummy; the signal processing module is integrated with a multi-channel data synchronizer and an intelligent algorithm unit, the time synchronization precision of the multi-channel data synchronizer is smaller than or equal to 1ms, and the multi-channel data synchronizer is used for dynamically separating the radiation heat dissipation amount Qrad and the convection heat dissipation amount Qconv. According to the invention, multi-parameter synchronous measurement is adopted, information acquisition mechanisms such as infrared, thermopile and micro differential pressure sensors are integrated, and accurate separation of radiation and convection heat dissipation is realized.

The invention relates to a thermal comfort control method for a vehicle cabin. The method comprises the following steps: acquiring thermodynamic boundary parameters of the vehicle cabin; determining a target temperature of the local thermal management device in the vehicle cabin and a target parameter in the vehicle cabin controlled by the heating and ventilation system, based on the acquired boundary parameter, by selecting dummy thermal comfort data corresponding to the boundary parameter obtained based on the warm dummy; the dummy thermal comfort data represents environmental data when the warm dummy feels comfortable for the boundary parameter; -operating the local thermal management device to the target temperature and causing the heating and ventilation system in the vehicle cabin to achieve the target parameter. The invention further relates to a related thermal comfort controller and a method for acquiring thermal comfort data of the dummy. According to the invention, the overall thermal comfort degree can be accurately ensured.

The present application relates to a kind of functional tubular composite fabrics of heat and moisture transfer, including the core layer of high modulus and heat insulation by high modulus heat insulation rigid composite material and heat insulation thermal cotton;Highly elastic cladding layer is formed by continuous silica gel, spiral structure yarn that can be filled with liquid and gas;Transport layer of liquid is formed by waterproof and moisture-permeable porous membrane that is engraved with micropore on surface, water delivery hose, heat conducting film, heating wire;Waterproof and moisture-permeable skin layer is formed by elastic woven fabric layer, hydrophobic porous film layer and porous nonwoven fabric layer.The tubular composite fabric of the present application can be used to make warm body dummy artificial limb, such as warm body dummy arm, warm body dummy leg, etc., simple to make, when used as warm body dummy artificial limb, it is more convenient to test by partition, can be used for silk stockings, jumpsuit, socks, gloves, ice sleeve and other clothing comfort test.

The invention relates to a bedding and clothing system three-dimensional heat transfer simulation method and device and a medium, and the method comprises the steps: respectively obtaining point cloud data of a human body in a lying posture in a naked state, a pajamas state and a quilt dressing state through a three-dimensional scanning technology, and carrying out the post-processing; establishing a bed pillow geometric model based on the body pressure distribution data, determining the contact area of the bed pillow geometric model and the human-bedding system, adjusting the spatial positions of the two parties until the contact areas are matched, and executing intersection Boolean operation of the model contact parts; integrally assembling the processed geometric models of the human body, the bedding, the clothing and the bed pillow, and dividing the body model into body sections; establishing a human body-bedding-environment three-dimensional heat transfer model; the model is verified and optimized based on segmented warm dummy experimental data, and the prediction accuracy of the model is ensured. The influence of bedding and clothing material parameters on skin temperature distribution and a prediction equation can be systematically analyzed by utilizing the established model, and a theoretical basis and technical support are provided for accurate design and optimization of high-performance sleep bedding and clothing.

The invention discloses an individual comfort model optimization method and system based on a thermal manikin. The method comprises the following steps: measuring clothing thermal resistance in an individual comfort system (PCS) use scene; different parameters (including but not limited to temperature, humidity and the like) are set in the artificial environment climate chamber, a test without turning on a PCS and a test with turning on the PCS are carried out respectively, and the heating power and the surface temperature of each part of the thermal manikin under different PCS operation conditions are recorded; calculating a power change value and a power change percentage after the PCS is started through the heating power of each part, calculating an equivalent temperature of each part and a difference value between the equivalent temperature and the environment temperature according to the thermal resistance of the clothes and the surface temperature of the thermal dummy, and calculating a thermal sensitivity temperature difference value according to the thermal sensitivity of each part of the human body; and generating parameters of the individual comfort model PCM. According to the method, the PCS performance is evaluated by applying the warm manikin, and the prediction performance of PCM on personnel thermal evaluation is improved in combination with theories of human body thermal sensitivity and the like.

The application discloses a kind of based on three-dimensional model's clothing system local and overall thermal resistance prediction method, belong to textile engineering technical field.It includes the following steps: construct the three-dimensional geometric model of clothing system and human body;Establish the heat transfer equation of local contact quilt part, contact quilt lower air layer part, contact mattress part and exposed external environment part;Adopt parallel method to calculate the local thermal resistance of clothing system;According to the overall thermal resistance of clothing system local thermal resistance calculation.The application utilizes three-dimensional model to predict the overall and local thermal resistance of clothing system, avoids the use of warm body dummy and expensive measuring instrument, effectively reduces the measurement cost, improves the prediction efficiency, and the prediction result is similar to the measurement result of warm body dummy, can be used to predict the thermal resistance value under different quilt, mattress, human posture and clothing coverage area state, helps to judge the thermal performance of clothing system, improves the thermal comfort of home textile product use.

The invention discloses a thermal dummy body gravity center fluctuation change simulation method, which comprises the following steps: acquiring gait data, environment data and hardware parameters of a thermal dummy based on a to-be-simulated target, and acquiring an initial gravity center track associated with a context vector according to gravity center track characteristics, the environment data and the hardware parameters; extracting a motion constraint equation of a dummy limb through inverse kinematics and inverse dynamics by using hardware features, constructing a digital twinborn model according to the motion constraint equation and environment features, inputting the initial gravity center trajectory into the digital twinborn model for verification, and obtaining a hardware adaptive gravity center trajectory after iterative correction, and obtaining a gravity center fluctuation change track based on the environment data of different sites, and driving the thermal dummy according to the gravity center fluctuation change track. According to the method, dynamic motion primitive feature extraction, multi-modal weighted fusion, attention association modeling, digital twinborn verification and LSTM scene adaptation are utilized, the hardware adaptability and scene diversity of the simulation method are improved, and meanwhile good interpretability is achieved.

The present application relates to a kind of clothing system three-dimensional heat transfer simulation method, equipment and medium, wherein the method comprises: obtaining the point cloud data of lying human body in naked, wearing pajamas and covering clothing three kinds of states by three-dimensional scanning technology respectively, and post-processing;Based on the body pressure distribution data, establish the geometric model of bed pillow and determine its contact area with human-clothing system, after adjusting the spatial position of both sides to match the contact area, execute the intersection Boolean operation of model contact site;After processing, the human body, clothing and bed pillow geometric model are assembled as a whole, and the human body model is divided into trunk section;Establish "human-clothing-environment" three-dimensional heat transfer model;Based on the segmented warm body dummy experimental data, the model is verified and optimized to ensure its prediction accuracy. Using the established model can systematically analyze the influence of clothing material parameters on skin temperature distribution and prediction equation, and provide theoretical basis and technical support for precise design and optimization of high-performance sleep clothing.

A thermally representative phantom mammalian manikin assembly is provided. The assembly can include a cover portion representative of mammalian tissue partially enclosing a thermal cavity having a thermally representative material therein. The cover portion can have an opening with a cap extending across the opening and configured to further enclose the thermal cavity. The cap can have an aperture extending therethrough to receive a device extending through the aperture and into the thermally representative material within the thermal cavity. The device can be a thermocouple configured to measure a temperature of the thermally representative material. In assemblies representing mammalian limbs, the assembly can further include a second thermal cavity representing an additional portion of the limb, e.g., thermally representative upper and lower leg cavities.

The utility model discloses a wide temperature range costume warm-keeping performance test device, and relates to the costume test device technology field, the technical scheme is characterized in that the wide temperature range costume warm-keeping performance test device comprises a device support, a control device and a warm dummy, the warm dummy comprises a dummy body and four limbs connected with the dummy body through a movable mechanism; the moving mechanism comprises a driving motor and a deep groove ball bearing used for connecting the limbs and the dummy body. The deep groove ball bearing comprises an inner bearing, a ball body and an outer bearing; the inner bearing and the outer bearing are arranged in a mutually rotating mode through the ball body, and a plurality of inner gears used for being meshed with an output gear at the output end of the driving motor are arrayed on the inner ring face of the inner bearing. According to the utility model, the driving motor is arranged and the limbs are driven to rotate through the deep groove ball bearing, so that the real scene of human motion is simulated, and the accuracy of measuring the warm-keeping performance of clothes is improved.

The application discloses a kind of effective heating rate determination methods of intelligent heating clothes, it is related to clothing performance test technical field, comprising: determine the surface of warm body dummy each monitoring site covered by the intelligent heating clothes to be measured;Warm body dummy is preheated to target initial skin temperature, record the output power of warm body dummy self heating system at this time;Record the measured initial skin temperature of warm body dummy at the moment of starting heating, real-time monitoring temperature data of each monitoring site on the surface of warm body dummy;Record the temperature rising duration required for each monitoring site on the surface of warm body dummy from measured initial skin temperature first reaches target comfortable temperature;Based on temperature rising duration, the effective heating rate of each monitoring site is calculated, the application provides the effective heating rate test means of quantifiable, reproducible, comparable for the first time to intelligent heating clothes, identifies the influence of heating element layout on local heating performance, provides basis for product design optimization.

This invention discloses a method for determining the effective heating time of intelligent heated clothing, relating to the field of clothing performance testing technology. The invention involves placing the intelligent heated clothing under test on the surface of a heated mannequin, identifying the monitoring areas on the mannequin's surface covered by the clothing, and setting the mannequin to a constant power operating mode under defined environmental conditions. The heating function of the intelligent heated clothing is then activated, and temperature data from each monitoring area is collected in real time. When a monitoring area meets a preset termination condition, the test is stopped, the termination time is recorded, and the effective duration of each monitoring area is determined. For each monitoring area, its weight is calculated based on its surface area, and a weighted average is calculated using the effective duration of each monitoring area to determine the effective heating time of the intelligent heated clothing. The effective heating time quantitatively characterizes the clothing's ability to maintain thermal comfort under real-world usage conditions.

The present invention discloses a self-balancing warm-body manikin and a method for using the same. The warm-body manikin simulates a sitting human body and is provided with an internal heating system and an air power system to achieve self-thermal balance. The warm-body manikin provided by the present invention can achieve a constant power of 95W and a constant temperature function on the human body surface. The constant temperature accuracy of the warm-body manikin depends on the temperature of the air-conditioned room where the manikin is located and the wind field conditions around the manikin, with a maximum accuracy of ±1.5°C. Most importantly, the manikin is a heat self-balancing manikin, and the purpose of constant power and constant temperature can be achieved without an external additional complex control system.