18results about "Catathermometers" patented technology

An electronic device for estimating human body microclimate temperature is provided. The electronic device may include: a main body; a first temperature sensor configured to measure a first temperature and a second temperature sensor configured to measure a second temperature, the first and second temperature sensors being disposed at different positions in the main body; and a processor, which while the main body is worn on a body part of a user or is carried by the user, is configured to estimate human body microclimate temperature of the user based on a difference between the first temperature and the second temperature.

To provide a monitoring system capable of appropriately issuing a warning on heatstroke without having to install a sensor in each room of a building.SOLUTION: A monitoring system is provided, comprising a heat index acquisition unit 22 configured to acquire indices on at least either of temperature and humidity at a given location in a building, a storage unit 18b for storing indoor environment information in a room of the building, and a risk information generation unit 23 configured to generate information on heatstroke risk in the room on the basis of the indices and the indoor environment information.SELECTED DRAWING: Figure 3

It generates images that intuitively represent the state of the air. [Solution] An information processing device having a control unit, wherein the control unit acquires environmental data of a target environment, converts it into natural language including sensory expressions to generate an environmental language, generates a prompt including words or sentences that represent images co-occurring from the environmental language, selects a generation AI that has been previously trained using each of a plurality of training data based on the generated prompt, operates it based on the assigned weights, and displays an image showing the state of the air in the target environment generated by the generation AI.

The present invention generates an image in which a state of the air is sensorily expressed. This information processing device includes a control unit. The control unit acquires environment data including an item value of an item indicating a state of the air in an environment to be processed or an item value of an item affecting the state of the air in the environment to be processed, generates an environment language by converting the environment data into a natural language including a sensory expression, generates a prompt including a word, a sentence, or an image representing an image co-occurring from the environment language, operates a generation AI by using the prompt, and displays an image generated by the generation AI and indicating the state of the air in the environment to be processed.

The invention provides a wearable housing for supporting a climate sensor on a user's body to enable standardised measuring of personal ambient temperature, humidity, air quality and other climate exposures, around the user's body. The housing comprises an inner cavity for receiving the climate sensor; first supporting means for supporting the climate sensor in thermally insulated relationship to a surface of the user's body; a heat shield configured for shielding the climate sensor against thermal radiation; and second supporting means for supporting the heat shield in thermally insulated relationship to the climate sensor; the arrangement being such that the climate sensor is housed within the inner cavity intermediate the first supporting means and the heat shield.

A wearable environmental sensor includes an environmental sensor arranged on a wall surface of a housing including a sealed section, the wall being in contact with an environment, and a protective structure formed around the environmental sensor, wherein the protective structure includes a plurality of ventilating holes, a sensor surface of the environmental sensor is arranged to face an opening of at least one of the ventilating holes, and an attaching part for attaching the environmental sensor to the wall surface comes into contact only with an edge of a sensor substrate of the environmental sensor and with a portion of a back face of the sensor substrate.

This invention generates an image that intuitively expresses the state of air. Provided is an information processing device including a control unit, wherein the control unit acquires environmental data of a target environment and generates environmental language by converting the environmental data into natural language including sensory expressions; generates, from the environmental language, a prompt including wording or sentences that represent an image associated with the environmental language; selects, based on the prompt, a generative AI additionally trained in advance using a respective one of a plurality of training datasets; operates the generative AI based on assigned weights; and displays an image representing the state of air in the target environment generated by the generative AI.

To generate an image that intuitively expresses the state of air. [Solution] An information processing device having a control unit, wherein the control unit acquires environmental data of a target environment and converts it into natural language including sensory expressions to generate environmental language, generates prompts including words or sentences that express images that co-occur from the environmental language, selects a generation AI that has previously undergone additional training using multiple learning data based on the generated prompt, operates it based on the assigned weights, and displays an image showing the air condition of the target environment generated by the generation AI.

A thermal index estimation system is provided with: a housing that defines an internal space and is provided with a vent hole that communicates the internal space with an external space of the housing; a temperature measuring unit which is disposed inside the housing and measures the temperature of the internal space; a detection unit that detects movement information indicating movement of the housing; a light amount measurement unit that measures the amount of light received by the housing; and an estimation unit that estimates a warm index in the external space on the basis of the temperature of the internal space, the motion information, and the light amount.

To provide a monitoring system capable of appropriately issuing a warning on heatstroke without having to install a sensor in each room of a building.SOLUTION: A monitoring system is provided, comprising a storage unit 14 for storing address information of a building and indoor environment information of the building, a heat index acquisition unit 12a configured to receive indices on at least either of temperature and humidity in an area of the building on the basis of the address information, and a risk information generation unit 12b configured to generate information on heatstroke risk in the building on the basis of the indices and the indoor environment information.SELECTED DRAWING: Figure 6

The present invention discloses a method and device for predicting a non-uniform temperature field within a three-dimensional urban street canyon. The method comprises: constructing a three-dimensional urban street canyon model and dividing it into several surface zones; calculating sky view parameters for each surface zone; generating a shadow distribution field for each surface zone; obtaining the solar shortwave radiation flux and ground longwave radiation flux for each surface zone based on the sky view parameters and shadow distribution field for each surface zone; calculating the sensible heat flux and latent heat flux for each surface zone; generating a non-uniform temperature field based on the sensible heat flux, latent heat flux, solar shortwave radiation flux, and ground longwave radiation flux for each surface zone; dividing the illuminated zone into a shadowed zone based on the shadow distribution field for each surface zone; and calculating the average temperature of the illuminated and shadowed zones based on the non-uniform temperature field. The present invention achieves real-time and accurate prediction of the non-uniform temperature field within a three-dimensional urban street canyon while reducing computing resource consumption.

To provide a hot heat and wind environment information generation device and a hot heat and wind environment information generation method capable of grasping prediction information of a hot heat and wind environment for each local region in real time, a route retrieval device and a route retrieval method.SOLUTION: A hot heat and wind environment information generation device 21 includes a surface temperature information calculation part 214 and a hot heat and wind environment prediction part 216a. The surface temperature information calculation part 214 acquires information obtained by calculating a temperature of an outer wall surface of an architectural structure and a temperature of a ground surface within an object area in each material quality as information of surface temperature for each object date and hour within the object area at each position. The hot heat and wind environment prediction part 216a generates prediction information of a hot heat and wind environment in each position in the object date and hour within the object area by executing thermal fluid analysis processing on the basis of the information acquired by the surface temperature information calculation part 214.SELECTED DRAWING: Figure 1

It generates images that intuitively represent the state of the air. [Solution] An information processing device having a control unit, the control unit acquires environmental data including item values ​​of items indicating the state of the air in a target environment or item values ​​of items that affect the state of the air in the target environment, generates an environmental language by converting the environmental data into natural language including sensory expressions, generates a prompt including words, sentences, or images that represent images that co-occur from the environmental language, operates a generation AI using the prompt, and displays an image indicating the state of the air in the target environment that was generated by the generation AI.

The present invention discloses a method for predicting outdoor surface atmospheric temperature based on visible light. The method includes three steps: training sample construction, model construction, and surface temperature prediction. First, surface image data under natural light is collected, along with surface atmospheric temperature data at the center of the image region at the corresponding moment. A holdout method is used to construct training samples. Second, a CNN-GRU network is used to extract image features, which are input into a regression network composed of a fully connected neural network. The training samples are used to train a surface atmospheric temperature prediction model. Finally, model parameters are optimized, and the trained model is used to predict the surface atmospheric temperature hourly. The present invention predicts surface temperature by extracting surface visible light image features and using a transfer learning method to quickly apply the model to similar landforms to implement surface atmospheric temperature prediction. This reduces the cost of the Internet of Things system, expands the application of deep learning methods in surface temperature monitoring, and enhances the perception capability of visible light cameras.

To provide a heat index prediction system for predicting an influence of heat of sunlight.SOLUTION: A heat index prediction system includes a storage part for associating and storing date / time information, place information, and sunlight intensity information, a communication part for performing communication, a first calculation part for calculating sunlight intensity information obtained by associated with sunlight inquiry information included in prediction information inquiry information inputted through the communication part, a second communication part for using a calculation result of the first calculation part to calculate direction identified sunlight intensity information, and a third calculation part for using a calculation result of the second calculation part to calculate heat index prediction information for predicting a heat index to the prediction information inquiry information inputted through the communication part. The communication part transmits the heat index prediction information calculated by the third calculation part to a transmission source of the prediction information inquiry information.SELECTED DRAWING: Figure 1

The purpose of the present invention is to predict the wet bulb globe temperature on an individualized basis. An information processing device according to the present invention operates a model generated using battery temperature data from a portable terminal as input data for generating a model and using the wet bulb globe temperature at the time the input data was acquired as ground truth data, and thereby acquires the wet bulb globe temperature predicted by the model on the basis of the battery temperature data, which is acquired by the portable terminal as data for acquiring the wet bulb globe temperature.

To provide a watching system with less labor.SOLUTION: A watching system 1 for watching an operator as a managed person includes a server 4 as a computer. The server 4 includes a server communication section 32 and a server control section 34. The server communication section 32 can receive ambient temperature information TI indicating ambient temperature in the periphery of the operator and a humidity information HI indicating humidity in the periphery of the operator. The server control section 34 calculates a hotness index WG being a function of the ambient temperature and humidity from the ambient temperature information TI and the humidity information HI. When it is recognized that a predetermined condition related to the hotness index WG is satisfied, the server control section 34 generates warning message information WI. The warning message information WI is the information related to a warning message WM and also related to a possibility of a heat stroke.SELECTED DRAWING: Figure 1

Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.