초록 ▼

Temperatures in a Dr side air-conditioning zone and a Pa side air-conditioning zone are controlled highly independently of each other without temperature interference between each zone. A room internal air temperature sensor and a room external air temperature sensor are provided. Dr side and Pa sid

Temperatures in a Dr side air-conditioning zone and a Pa side air-conditioning zone are controlled highly independently of each other without temperature interference between each zone. A room internal air temperature sensor and a room external air temperature sensor are provided. Dr side and Pa side temperature setters separately set room setpoint temperatures (Tset(Dr), Tset(Pa)) in each zone. First and second target blow-out temperature calculating portions, which include neural network, input the room setpoint temperatures and the temperature data. Then it calculates Dr side and Pa side target blow-out temperatures (TAO(Dr), TAO(Pa)) relative to each air-conditioning zones by using a neural network. Air-mixing doors separately adjusts the temperatures of conditioned air blown out from Dr side air passage and Pa side air passage to be the first and second target blow-out temperatures. Here, the neural network has the learning function, which adjusts its output to be desired data (teacher signal). Therefore, the output at a specific input condition can be adjusted without temperature interference between each zone.

대표청구항 ▼

1. An air-conditioning device in which a first air-conditioning zone and a second air-conditioning zone are set in a room, and respective temperatures in the first and the second air-conditioning zones are separately adjusted by conditioned air, comprising:first and second air passages provided rela

1. An air-conditioning device in which a first air-conditioning zone and a second air-conditioning zone are set in a room, and respective temperatures in the first and the second air-conditioning zones are separately adjusted by conditioned air, comprising:first and second air passages provided relative to the first and the second air-conditioning zones, respectively; first and second temperature setters to separately set setpoint temperatures in the first and the second air-conditioning zones; a temperature data detector to detect temperature data including a room internal air temperature and a room external air temperature; first and second target blow-out temperature calculating portions including a neural network, that receive the setpoint temperatures and the temperature data, and calculate first and second target blow-out temperatures for the first and the second air-conditioning zones via the neural network; and first and second temperature adjusters arranged in the first and second air passages, respectively, to separately adjust the temperatures of conditioned air blown out from the first and second air passages to the first and the second target blow-out temperatures; wherein: each of the first and second target blow-out temperature calculating portions comprises: a temporary target temperature calculating portion that receive the setpoint temperatures and the temperature data, and calculate first and second temporary target temperatures for the first and the second air-conditioning zones via the neural network; a radiation amount correction calculating portion that receive at least a radiation data, and calculate radiation amount corrections via the neural network; a target temperature calculating portion to calculate the first and second target blow-out temperatures relative to the first and the second air-conditioning zones based on the first and second temporary target temperatures and the radiation amount corrections.