18244111. THERMAL SENSATION ESTIMATION DEVICE, AIR CONDITIONING DEVICE, CHILD SAFETY SEAT, THERMAL SENSATION ESTIMATION METHOD, AND PROGRAM simplified abstract (Panasonic Intellectual Property Management Co., Ltd.)

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THERMAL SENSATION ESTIMATION DEVICE, AIR CONDITIONING DEVICE, CHILD SAFETY SEAT, THERMAL SENSATION ESTIMATION METHOD, AND PROGRAM

Organization Name

Panasonic Intellectual Property Management Co., Ltd.

Inventor(s)

Aki Yoneda of Hyogo (JP)

Mototaka Yoshioka of Osaka (JP)

Shinichi Shikii of Nara (JP)

Rina Akaho of Osaka (JP)

THERMAL SENSATION ESTIMATION DEVICE, AIR CONDITIONING DEVICE, CHILD SAFETY SEAT, THERMAL SENSATION ESTIMATION METHOD, AND PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18244111 titled 'THERMAL SENSATION ESTIMATION DEVICE, AIR CONDITIONING DEVICE, CHILD SAFETY SEAT, THERMAL SENSATION ESTIMATION METHOD, AND PROGRAM

Simplified Explanation

The patent application describes a device that can estimate the thermal sensation of a user based on their metabolic amount and released heat flux. The device includes three main components: a metabolic amount estimator, a released heat flux estimator, and a thermal sensation estimator.

  • The metabolic amount estimator is responsible for estimating the metabolic amount of the user, which refers to the amount of energy they are expending. This estimation is based on the user's height, which is measured by the device.
  • The released heat flux estimator calculates the amount of heat released by the user outside of their body. This estimation helps in understanding the heat exchange between the user and their environment.
  • The thermal sensation estimator combines the estimated metabolic amount and released heat flux to estimate the thermal sensation experienced by the user. This provides an indication of how hot or cold the user feels.

Potential applications of this technology:

  • Personalized climate control systems: The device can be used to optimize the temperature and airflow in a room based on the thermal sensation of the occupants, ensuring their comfort.
  • Energy-efficient buildings: By accurately estimating the thermal sensation of individuals, buildings can adjust their heating or cooling systems accordingly, leading to energy savings.
  • Wearable devices: The technology can be integrated into wearable devices such as smartwatches or fitness trackers to provide users with real-time information about their thermal comfort during physical activities.

Problems solved by this technology:

  • Inaccurate thermal comfort assessment: Traditional methods of assessing thermal comfort rely on subjective feedback from individuals, which can be unreliable. This device provides a more objective and accurate estimation of thermal sensation.
  • Energy wastage: Buildings often rely on fixed temperature settings, leading to energy wastage when occupants have different thermal comfort preferences. This technology allows for personalized temperature control, reducing energy consumption.

Benefits of this technology:

  • Improved comfort: By accurately estimating thermal sensation, the device can help individuals maintain a comfortable environment, enhancing their overall well-being.
  • Energy savings: Optimizing temperature control based on individual thermal sensations can lead to significant energy savings in buildings and other environments.
  • Real-time feedback: The device provides real-time information about thermal comfort, allowing users to make adjustments or take actions to improve their comfort levels.


Original Abstract Submitted

A thermal sensation estimation device includes a metabolic amount estimator, a released heat flux estimator, and a thermal sensation estimator. The metabolic amount estimator is configured to estimate a metabolic amount of a user. The released heat flux estimator is configured to estimate a released heat flux as a heat flux released outside from the user. The thermal sensation estimator is configured to estimate thermal sensation of the user based on the metabolic amount and the released heat flux. The metabolic amount estimator is configured to measure a height of the user to estimate the metabolic amount based on the height measured.