The present disclosure relates to a system that obtains at least one of a recommended temperature and an operation mode to be set on an air conditioner by applying a position of a user and an ambient temperature of the air conditioner to a learning model trained by using an artificial intelligence algorithm, and sets at least one of the obtained recommended temperature and the obtained operation mode on the air conditioner. In this case, the learning model may be, for example, a model generated by using at least one of machine learning, a neural network, or a deep learning algorithm as the artificial intelligence algorithm.

An environmental control system includes: a wind blower which blows wind toward a subject; and a control apparatus which performs control that makes a sympathetic nervous system of the subject dominant over a parasympathetic nervous system of the subject by changing a wind speed of the wind that is blown by the wind blower at a cycle in a range from 15 minutes to 60 minutes and by setting a time in which the wind speed is a smallest value to less than or equal to 75% of the cycle.

Described herein are heating, ventilation, air conditioning, and refrigeration (HVACR) systems and methods directed to indoor air quality. HVACR systems and methods are based on dynamic people modeling to simulate and/or to monitor airflow impact on pathogen spread in an indoor space. HVACR systems and methods model an indoor space with pathogen killing technology to deploy the pathogen killing technology. HVACR systems and methods are directed to control administration of a pathogen killing technology to an indoor space based on factors that impact airflow including from dynamic analytics, a known input, and/or detection.

An environmental monitor device with a database comprises a data bus, a multitude of sensors, at least one processing unit, input/output device(s); communications interface(s), and memory. Communications interface(s) communicate with at least one environmental sensor device comprising with a multitude of sensors. The multitude of sensors may include particle counter(s), pressure sensor(s) and/or the like. The memory is configured to hold data and machine executable instructions. The machine executable instructions are configured to cause at least one processing unit to: collect sensor data from at least one environmental sensor device; store at least some of the sensor data in at least one database; and generate a report of sensor data that exceeds at least one threshold.

In an embodiment, an electronic device may include storage containing processor-executable instructions, a preference function that maps weights indicating likely user preferences for the range of values of a device setting in relation to a range of values of a variable, and a current automated device control schedule configured to control the device setting of the electronic device in relation to the variable, and a processor. The instructions may cause the processor to determine the current automated device control schedule based on the preference function by detecting user behavior that indicates satisfaction or dissatisfaction with values of the device setting in relation to the variable, updating the preference function based on the detected user behavior, and determining the current automated device control schedule by comparing a number of candidate device control schedules against the weights of the preference function and selecting the candidate with the highest score.

Provided are an acoustic sensor and a home appliance system comprising the same. The acoustic sensor comprises a communication unit, a microphone to collect an acoustic signal, a memory to store a failure acoustic signal of a home appliance, and a processor, wherein in response to the acoustic signal, collected by the microphone, corresponding to the failure acoustic signal of the home appliance, the processor transmits the collected acoustic signal, or data corresponding to the collected acoustic signal, to an external server or a terminal. Accordingly, failure of the home appliance may be easily diagnosed.

An environment control system that controls an environment of a subject is provided. The environment control system includes an actuator configured to control an environment of a subject, and a controller configured to control an operation of the actuator. The environment control system includes an inference unit that includes a first learned model and a second learned model. The first learned model has been trained by associating environmental information indicating an environment of a subject with data correlating with one of sleep, excretion, movement, skin, and stress conditions of the subject. The second learned model has been trained by associating the data correlating with one of the sleep, excretion, movement, skin, and stress conditions of the subject with data correlating with a magnitude of one or more risks that may occur with respect to the subject in a future period of time. The environment control system includes an operating condition determining unit configured to, in a case in which data correlating with the magnitude of the one or more risks that may occur with respect to a subject in a future period of time is inferred based on the first and second learned model, evaluate the inferred data to determine an operating condition of the actuator.

An environmental control system includes: an air conditioner for adjusting a temperature in a space in which a subject is located; and a control apparatus which performs control that makes a parasympathetic nervous system of the subject dominant over a parasympathetic nervous system of the subject by performing first control and second control using the air conditioner. The first control increases the temperature in the space, and the second control cyclically changes the temperature in the space in such a manner that a temperature difference from a largest value to a smallest value in the space falls within 3 degrees Celsius.

An environmental control system includes: a wind blower which blows wind toward a subject; and a control apparatus which switches between first control and second control at a predetermined timing. The first control makes a sympathetic nervous system of the subject dominant over a parasympathetic nervous system of the subject by changing a wind speed of the wind that is blown by the wind blower at a predetermined cycle, and the second control makes the parasympathetic nervous system of the subject dominant over the sympathetic nervous system of the subject by decreasing a wind speed of the wind that is blown by the wind blower to a wind speed lower than the wind speed in the first control.

A humidification and air cleaning apparatus is provided that may include a lower base, a lower housing, a plurality of legs, a leg wall, and an input assembly. The lower base may be supported by an installation surface. The lower housing may be spaced apart upwardly from the lower base and form a suction gap by being spaced apart from the lower base. The plurality of legs may be disposed on at least one of the lower base or a lower housing. The plurality of legs may support the lower housing. The leg wall may connect two adjacent legs to each other. The input assembly may be disposed at the lower housing. The input assembly may protrude toward the suction gap. The input assembly may receive a wireless signal. The plurality of legs may include a first leg and a second leg adjacent to each other. The input assembly may be disposed outside of the leg wall. As an input assembly receiving a voice signal is exposed to the outside, a user's voice may be effectively recognized. Further, as the leg wall is disposed between the input assembly and the lower housing inlet, it is possible to suppress propagation of operating noise generated by a blowing unit to the input assembly.