Patent ID: 12014409

Abstract:
To easily know how much a health-related countermeasure product has a countermeasure effect level, and how much countermeasure can be taken against regional weather environment forecast information. A two-dimensional code 1 incorporating countermeasure effect level information for each health-related countermeasure category is attached to a product. On the other hand, there is a mobile terminal device 2 capable of automatically inputting the planned activity amount in exercise and work, the physical condition status, the pulse rate, and the body temperature. The health-related countermeasures information processing equipment 3 connected to the communication network also obtains weather information such as temperature, humidity and heat index, ultraviolet rays, and pollen scattering amount for each region from the weather forecast prediction data transmission device 4. Then, the necessary countermeasure level is generated. Then, it is determined to be compared with the countermeasure effect level of the product. The result will be useful for selecting the product. In addition, an information system that obtains hindrance occurrence prediction information generated by a deep learning method from the progress history of the above information and related countermeasure product promotion information.