21 results about "Apparent temperature" patented technology

The invention belongs to the technical field of building refrigeration, and discloses a dynamic partition refrigeration regulation and control system based on floor height, regulation and control areas are divided in real time according to the floor height, heat flux density and the like through a dynamic density clustering partition algorithm, and the influence of high-altitude air pressure on the sensible temperature is corrected in combination with a height compensation module; an adaptation strategy is generated based on a'height-load 'bivariate model; the high-layer area fits the air convection characteristic through a linear function, and the low-layer area reflects the soil thermal buffer effect through an exponential function, so that refrigeration parameters are accurately matched with actual requirements of all floors, and overheating or insufficient refrigeration caused by traditional unified parameter regulation and control is avoided; data are collected in real time through a space-air-ground three-in-one sensing network; when the personnel density in a region is suddenly increased or functions are switched, the system can complete temporary partition merging and regulation and control parameter adjustment in a short time, and the intelligent operation and maintenance requirements of scenes such as a campus and a hospital for real-time monitoring and rapid optimization are met.

The utility model relates to a fermented grain sampler which is suitable for monitoring and sampling layered digital display temperature and humidity in a fermentation process. The conveying unit of the sampler partially extends into the hollow pipe cavity of the pipeline unit to provide driving force for fermented grain sampling. The pipeline unit is formed by sequentially connecting a discharging channel and a plurality of sampling channels in the axial direction, the bottom end of the discharging channel is connected with the top of the first section of sampling channel through a detachable axial joint part, and the adjacent sampling channels are connected through a detachable axial joint part. The sampler can be pre-buried in a cellar and does not need to be inserted again during sampling, so that time and energy are saved. And in a non-sampling period, the discharge port can be sealed, so that the influence on the fermentation environment is reduced, and the air tightness of the system is ensured. In addition, the sampler can also monitor and record the temperature and humidity of the fermented grains at the target height, so that workers can conveniently check the temperature and humidity conditions of the fermented grains in the pit at any time.

The invention relates to the technical field of building structure detection, and discloses a building wall hollowing detection method and system. The method comprises the following steps: firstly, performing thermal excitation treatment on a building wall surface, automatically selecting a natural heat source, an artificial heat source or a dual-mode heat source combining the natural heat source and the artificial heat source to perform heat loading on the wall surface based on real-time environmental conditions, and adaptively adjusting the power of the artificial heat source according to a wall surface material and an environmental temperature. And in the heat loading and subsequent cooling process, dynamic infrared thermal image sequence data of the wall surface are collected. And performing thermal gradient three-dimensional reconstruction based on the thermal image sequence data to obtain temperature gradient distribution of the surface and the deep part of the wall body. According to the temperature gradient distribution, the apparent temperature difference delta T, the edge gradient G and the depth attenuation rate beta are calculated, and a multi-dimensional hollowing criterion is established. And identifying a hollowing area by using the criterion, and marking and outputting an identification result. According to the invention, the automation degree, the accuracy and the depth identification capability of building wall hollowing detection can be effectively improved.

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 application discloses an electric fan control method and device, an electric fan and a storage medium, and relates to the technical field of electric fan control. The method comprises the following steps: collecting the user's felt temperature under the current wind speed, and collecting the current environment temperature and the environment humidity; inputting the user's felt temperature, the environment temperature and the environment humidity into a pre-constructed wind speed prediction model, and outputting a target wind speed from the wind speed prediction model; the wind speed prediction model is obtained by training and learning a linear regression model through historical user's felt temperature, corresponding historical environment temperature and historical environment humidity; and based on the target wind speed, the current wind speed is regulated. The application realizes intelligent control of the electric fan, reduces the frequency of manual adjustment of the user, and enables the user to obtain a comfortable experience under different felt temperatures, thereby improving the user's experience.

The application discloses an air conditioning equipment, comprising a sensing module, a first feature parameter acquisition module, a second feature parameter acquisition module, a target parameter acquisition module and a prediction module; wherein the first feature parameter acquisition module is configured to obtain the clothing level, the felt wind speed and the indoor environment background radiation temperature of the test human target based on the thermal image; the second feature parameter acquisition module is configured to obtain the environment temperature and the environment humidity of the indoor environment; the target parameter acquisition module is configured to obtain the combination of the felt temperature and the felt humidity of the test human target, and to represent the target label of each combination with an integer index; the prediction module has a prediction model generated based on the clothing level, the felt wind speed, the background radiation temperature, the environment temperature, the environment humidity and the target label. The integer index corresponding to the maximum probability value output by the prediction model is the output human target comfort level category. When dealing with a small sample environment, the air conditioning equipment provided by the application can effectively reduce the overfitting risk.

The invention discloses air conditioning equipment which comprises a sensing module, a first characteristic parameter acquisition module, a second characteristic parameter acquisition module, a target parameter acquisition module and a prediction module. Wherein the first characteristic parameter acquisition module is configured to acquire a dressing grade, a somatosensory wind speed and an indoor environment background radiation temperature of a tested human body target based on a thermal image; the second characteristic parameter acquisition module is configured to acquire the environment temperature and the environment humidity of the indoor environment; the target parameter acquisition module is configured to acquire combinations of target sensible temperature and sensible humidity of a tested human body, and an integer index is used for representing a target label of each combination; the prediction module is provided with a prediction model generated based on the dressing grade, the somatosensory wind speed, the background radiation temperature, the environment temperature, the environment humidity and the target label. The integer index corresponding to the maximum probability value output by the prediction model is used for outputting the human body target comfort degree category. When a small sample environment is dealt with, the air conditioning equipment provided by the invention can effectively reduce the over-fitting risk.

This invention relates to the field of intelligent floor temperature control technology, specifically disclosing an environmentally adaptive intelligent floor temperature control system and control method, including the following steps: Step S1: Collect historical user temperature setting data and floor temperature control operating data; Step S2: Analyze historical data to establish a correlation model between indoor perceived temperature and air temperature; extract user temperature setting curves, generate behavioral habit feature curves, and classify them through a recurrent neural network to obtain several categories and their average feature curves; Step S3: Match the current user behavior curve with the historical average curve to predict the target temperature curve for the next day; combine the temperature correlation model to dynamically adjust the floor temperature; This method achieves personalized and adaptive temperature control optimization through data-driven and machine learning approaches.

This invention discloses an automatic control method for a thermocouple calibration furnace based on temperature data acquisition, belonging to the field of temperature control technology. The method includes: constructing an error decomposition model using a dynamic inertial prediction layer, a residual structure separation layer, and a disturbance suppression layer based on temperature-related dynamic response parameters, and performing frequency separation to obtain the intrinsic measurement error components; correcting the apparent temperature sequence based on the intrinsic measurement error components, and performing dynamic compensation inversion in conjunction with the temperature-related dynamic response parameters to generate a true temperature sequence and a temperature reliability index; evaluating the stability of the calibration temperature field based on the true temperature sequence and the temperature reliability index, generating heating control commands, adjusting the heating power in the calibration furnace, and generating a calibration temperature field control report. This invention, by constructing temperature-related dynamic response parameters and establishing an error decomposition model, achieves a structured analysis of the dynamic hysteresis behavior and intrinsic measurement errors of thermocouples by temperature sensors.

The application relates to an infrared thermal imager temperature measurement method, device and equipment based on environmental temperature self-compensation. The method comprises the following steps: acquiring a target parameter of a target object; wherein the target parameter comprises a current apparent temperature of the target object measured by using an infrared thermal imager and a current environmental parameter of a target region where the target object is located, the current environmental parameter at least comprising a current environmental temperature; determining a temperature difference according to the current environmental temperature and the current apparent temperature, inputting the current environmental temperature, the current apparent temperature and the temperature difference into a temperature compensation model to obtain a current temperature compensation value of the target object; and compensating the current apparent temperature by using the current temperature compensation value to obtain a real temperature of the target object. By using the method, the influence of the environmental temperature can be self-adaptively compensated, and the infrared temperature measurement accuracy of the measured object is improved.

The invention provides a summer-day maximum load prediction method based on cumulative sensible temperature, and belongs to the technical field of power load prediction. The invention discloses a summer day maximum load prediction method based on cumulative sensible temperature, and the method comprises the steps: collecting historical power load data of each region unit in a whole network coverage region, and corresponding meteorological element monitoring historical data of air temperature, humidity and wind speed; calculating accumulated sendible temperature index data according to the weather forecast data of the whole network coverage area in the to-be-predicted period, and obtaining a temperature control load component in the to-be-predicted period according to the function relation equation; and adding the temperature control load component in the to-be-predicted period and the disassembled basic load component to obtain a whole-network daily maximum load prediction result. According to the invention, the mathematical relationship between the cumulative sensible temperature and the summer electrical load is established, and the comprehensive influence of meteorological elements such as air temperature, humidity and wind speed and complex factors such as the human body sensible comfort degree and the temperature heat cumulative effect on the daily maximum load of the provincial power grid can be reflected.

1. The name of the design product: light energy hygrometer. 2. The use of the design product: for measuring and displaying the temperature, humidity, body temperature, and early warning display of dry, humid, heatstroke, influenza, mites, eczema. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: reference figure 1 in use.

The present invention relates to camouflage system (1) for camouflaging a vehicle (3), comprising a low-emissive camouflage material (5) for passively reducing an apparent temperature of at least a first thermal area (A) of the camouflage system to a temperature below an apparent temperature of the surroundings of the vehicle (3), an infrared sensor arrangement (7) for measuring the apparent temperature of the surroundings of the vehicle in at least a first measurement zone (9), which first measurement zone (9) is associated with the first thermal area (A), and a controllable heat generating arrangement (11) for heating the first thermal area (A) of the camouflage system (1). The camouflage system (1) further comprises a control unit (13) configured to determine a target temperature for the first thermal area (A) based on at least the apparent temperature of the surroundings of the vehicle (3) in the first measurements zone (9), and to control the heat generating arrangement (11) to heat the first thermal area (A) to the target temperature.

The application relates to the technical field of high-temperature heat wave detection, in particular to a high-temperature heat wave detection method based on day and night time, which comprises the following steps: acquiring an hourly day and night distribution map of a target region in a target time period; constructing an hourly day and night judgment matrix of the target region in the target time period according to day and night information corresponding to a plurality of grids in the hourly day and night distribution map; acquiring hourly apparent temperature data of the target region in the target time period; acquiring hourly daytime apparent temperature data and hourly nighttime apparent temperature data of the target region in the target time period according to the hourly apparent temperature data of the target region in the target time period and the hourly day and night judgment matrix; acquiring temperature threshold data; and obtaining day and night high-temperature heat wave detection data of the target region in the target time period according to the hourly daytime apparent temperature data, the hourly nighttime apparent temperature data and the temperature threshold data.

A display system includes an acquirer, an estimator, and a controller. The acquirer acquires a first detection value and a second detection value from a temperature sensor and a humidity sensor, respectively. The temperature sensor and the humidity sensor are both included in a ventilator that ventilates a room. The estimator estimates, based on the first detection value and the second detection value that are acquired by the acquirer, an apparent temperature distribution representing a distribution of apparent temperatures in a height direction in the room. The controller makes a display device present the apparent temperature distribution estimated by the estimator.

The application relates to a device and method for controlling the temperature of a mammal piglet, which comprises: a temperature lamp control unit for collecting the ambient temperature, relative humidity and wind speed in each sensor of a current compartment, and controlling the power of a temperature lamp by using a PID control algorithm according to the ambient temperature, relative humidity and wind speed and the target value of the thermal sensation temperature of each piglet of different ages, so as to meet the required thermal sensation temperature of the piglets of different ages; a feeder control unit for transmitting the power consumption of the temperature lamp, the power of the temperature lamp, the ambient temperature, the relative humidity, the thermal sensation temperature, the number of piglets in a single compartment and the age data of the piglets to a central controller through CAN communication; and a terminal device for carrying out human-computer interaction with the feeder control unit, monitoring the power consumption of the temperature lamp, the power of the temperature lamp, the ambient temperature, the relative humidity, the thermal sensation temperature, the number of piglets in a single compartment and the age data of the piglets. The application can greatly increase the survival rate of piglets, reduce the energy consumption of the temperature lamp and monitor the environment of the piglets.

This invention discloses a high-frequency switching power supply temperature and load joint compensation and lifetime prediction system, specifically relating to the field of high-frequency switching power supply temperature and load technology. By constructing a load-sensitive thermal mapping reference model and introducing temperature rise mismatch characteristics and thermal state vectors, it can identify the spatial partitioning characteristics of internal thermal stress of the chip at different operating stages. This allows the temperature compensation and load adjustment strategies to no longer rely solely on apparent temperature safety judgments, but actively constrain the accumulation rate of local extreme thermal stress, thereby avoiding the problem of latent thermal failure induced even under controlled external temperatures. Simultaneously, it temporally couples the local thermal state with the thermal cycling damage evolution process, updating the damage accumulation and lifetime prediction results in real time after the compensation control is executed. This enables the remaining lifetime assessment to truly reflect the degradation mechanism dominated by local hot spots, significantly reducing the risk of overly optimistic lifetime prediction.

This invention belongs to the field of integrated chip technology for mobile terminals, specifically relating to a multifunctional integrated chip for smartphones and its applications. The chip integrates a main processing module, a health monitoring module, an environmental sensing module, a motion state recognition module, a data processing module, an intelligent power management module, a communication interface module, and a speed calculation unit. The environmental sensing module integrates temperature, humidity, and air pressure data to calculate perceived temperature; the data processing module extracts physiological parameters through health analysis algorithms; and the intelligent power management module optimizes power consumption by switching between sleep, daily, and exercise modes based on the user's activity level. Smartphones equipped with this chip integrate biological, environmental, and motion sensors and a positioning module, displaying health parameters, environmental assessment results, and exercise data in real time on the screen. This invention, through highly integrated design and multi-module collaboration, achieves accurate monitoring of health, environment, and exercise while maintaining low power consumption, significantly improving the level of intelligence and user experience.

The application belongs to the technical field of building refrigeration, and discloses a dynamic zoning refrigeration regulation system based on floor height, which divides the regulation area in real time according to floor height and heat flow density through a dynamic density clustering zoning algorithm, corrects the influence of high-altitude air pressure on the apparent temperature in combination with a height compensation module, and generates an adaptive strategy based on a height-load bivariate model; the air convection characteristics of high-rise areas are fitted through a linear function, and the soil heat buffering effect of low-rise areas is reflected through an exponential function, so that the refrigeration parameters are accurately matched with the actual demand of each floor, and overheating or insufficient refrigeration caused by traditional unified parameter regulation is avoided; data is collected in real time through a three-in-one space-air-ground sensing network; when the regional personnel density suddenly increases or the function is switched, the system can complete temporary zoning merging and regulation parameter adjustment in a short time, and meet the intelligent operation and maintenance demand of real-time monitoring and rapid optimization in scenes such as campuses and hospitals.

The application discloses an air conditioner control method and device, electronic equipment and storage medium. The air conditioner control method provided by the embodiment of the application comprises the following steps: obtaining the fan rotating speed and the angle of the air deflector of the air conditioner; determining the stratified temperature difference according to the fan rotating speed and the angle of the air deflector; correcting the initial room temperature detected according to the stratified temperature difference to obtain the apparent temperature; and adjusting the temperature control parameter of the air conditioner according to the apparent temperature. It can be seen that the air conditioner control method provided by the embodiment of the application can calculate the stratified temperature difference caused by temperature stratification when adjusting the room temperature, then determine the apparent temperature of the user according to the stratified temperature difference, and control the air conditioner according to the apparent temperature of the user, so that the problem that the initial room temperature detected by the air conditioner is different from the apparent temperature of the user when the temperature is stratified, and the temperature adjustment is inaccurate, can be avoided.

The invention provides a heat supply and heating automatic control system. The heat supply and heating automatic control system comprises a heat supply device, a control center and a heat supply pipeline placed in a room. One end of the heat supply pipeline is communicated with a water outlet pipe of the heat supply device, the other end of the heat supply pipeline is communicated with a water return pipe of the heat supply device, and a water inlet valve is arranged between the heat supply pipeline and the water outlet pipe; a first temperature sensor and a humidity sensor are arranged in the room, and the control center is in control connection with the heat supply device and the water inlet valve and is in signal connection with the first temperature sensor and the humidity sensor. The temperature and humidity in the room are monitored in real time, the optimal sensible temperature of the room is calculated, and the room temperature is controlled to reach the most comfortable state. And meanwhile, the temperature of the room is adjusted in real time, the fluctuation of the temperature in the room is reduced, and the indoor temperature fluctuation can be controlled within + / -0.5 DEG C.