METHOD FOR AUTOMATICALLY PROVIDING RECOMMENDATIONS OF OPTIMAL ACTIVITIES FOR IMPROVING INDOOR AIR ATMOSPHERE

摘要

For each of the plurality of indoor spaces, which is performed by a server, a method for automatically suggesting an optimal activity for improving the indoor atmospheric environment for each of the indoor spaces is provided. The method of the present disclosure, each atmospheric environment information related to each of the indoor spaces-each atmospheric environment information related to each of the indoor spaces includes a combination of measured values measured by two or more sensors of the indoor space, and The two or more sensors include: receiving at least one of a temperature sensor, a humidity sensor, a carbon dioxide sensor, a fine dust sensor, and a gas concentration sensor; A target atmospheric environment indicator for improving the atmospheric environment of the indoor space by applying the received atmospheric environment information related to the indoor space to a predetermined first prediction model, wherein the target atmospheric environment indicator is related to the atmospheric environment Predicting at least one of a target temperature and a target humidity; Predicting an operating time of at least one electronic device for improving the atmospheric environment in the indoor space to achieve the target atmospheric environment indicator by applying the predicted target atmospheric environment indicator to a predetermined second prediction model; And transmitting an operation time of the predicted target air environment indicator and the predicted air environment improvement electronic device to a user terminal in the indoor space, wherein the first and second prediction models are pre-accumulated. , Each atmospheric environment information related to each of the indoor spaces, and user feedback information corresponding to the atmospheric environment information, wherein the user feedback information is generated by a user for a predetermined time of the electronic device for improving one or more atmospheric environments in the indoor space. Information on operation, and based on the atmospheric environment information of the indoor space changed after the operation of the electronic device for improving the at least one atmospheric environment of the indoor space according to the user feedback information, according to a deep neural network learning method , It is a predictive model formed.