KR20230053923A - The personal forecast - Google Patents
The personal forecast Download PDFInfo
- Publication number
- KR20230053923A KR20230053923A KR1020210137295A KR20210137295A KR20230053923A KR 20230053923 A KR20230053923 A KR 20230053923A KR 1020210137295 A KR1020210137295 A KR 1020210137295A KR 20210137295 A KR20210137295 A KR 20210137295A KR 20230053923 A KR20230053923 A KR 20230053923A
- Authority
- KR
- South Korea
- Prior art keywords
- weather forecast
- individual
- forecast
- weather
- individual characteristics
- Prior art date
Links
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 10
- 230000001953 sensory effect Effects 0.000 claims description 12
- 230000000694 effects Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W2201/00—Weather detection, monitoring or forecasting for establishing the amount of global warming
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W2203/00—Real-time site-specific personalized weather information, e.g. nowcasting
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Biophysics (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- Atmospheric Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Ecology (AREA)
- Environmental Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
본 발명은 개인의 특성을 고려한 일기예보에 관한 것으로서,The present invention relates to a weather forecast considering individual characteristics,
더욱 상세하게는 일기예보에 있어서,More specifically, in weather forecasting,
개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 개인 맞춤 일기예보로 구성 하여서,It is configured as a personalized weather forecast configured to make the sensory temperature felt by the individual into data and learn it with artificial intelligence so that the weather forecast can be made in consideration of the individual's characteristics.
개인 맞춤 일기예보에 의하여 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 함으로써 개개인마다 느끼는 체감온도가 다른 문제점을 해소하도록 함을 목적으로 한 것이다.The purpose of this is to solve the problem of the different sensory temperature experienced by each individual by making it possible to forecast the weather by considering the characteristics of each individual through the personalized weather forecast.
일반적으로 일기예보는 원하는 날짜의 기상을 예측 후 알림하는 것이다.In general, weather forecasting is notification after predicting the weather on a desired date.
상기한 바와 같이 일기예보는 위치, 기상으로 구성된 것이다.As described above, the weather forecast is composed of location and weather.
이상과 같은 일기예보는 개인이 어디 있는 지를 알아내고, 해당 위치의 기상을 예측 후 알림하는 것이다.The weather forecast as described above is to find out where an individual is, predict the weather at the location, and then notify.
그러나 상기한 바와 같은 종래의 일기예보는 개개인마다 느끼는 체감온도가 다른 문제점이 있었다.However, the conventional weather forecast as described above has a problem in that the sensible temperature is different for each individual.
이에 본 발명은 종래의 일기예보가 개개인마다 느끼는 체감온도가 다른 문제점을 해결하기 위한 것이다.Accordingly, the present invention is intended to solve the problem that each individual feels a different sensible temperature in the conventional weather forecast.
즉, 본 발명은 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 개인 맞춤 일기예보로 구성한 것이다.In other words, the present invention is composed of a personalized weather forecast configured to make the sensory temperature felt by an individual into data and learn it through artificial intelligence so that the weather forecast can be made in consideration of the individual's characteristics.
따라서 본 발명은 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 개인 맞춤 일기예보로 구성 함으로써, 개인 맞춤 일기예보에 의하여 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 함으로써 개개인마다 느끼는 체감온도가 다른 문제점을 해소하도록 한 효과를 갖는 것이다.Therefore, the present invention is configured as a personalized weather forecast configured to make the sensory temperature felt by the individual into data and learn it with artificial intelligence so that the weather forecast can be made in further consideration of the individual's characteristics. It has the effect of resolving the problem of having a different sensory temperature for each individual by making it possible to make a weather forecast by considering the characteristics more.
도 1: 위치 기반하여 기상을 1차로 예상하고, 그다음 개인의 특성 데이터를 고려하여 최종적으로 체감온도를 포함한 일기예보를 해줍니다.Figure 1: The weather is first predicted based on the location, and then the weather forecast including the perceived temperature is finally made in consideration of the individual's characteristic data.
즉, 본 발명은 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 (2)개인 맞춤 일기예보로 구성 된 것이다.In other words, the present invention is composed of (2) a personalized weather forecast configured to make the sensory temperature felt by an individual into data and learn it with artificial intelligence so that the weather forecast can be made in consideration of the individual's characteristics.
여기서, (2)개인 맞춤 일기예보는 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 것이다.Here, (2) Personalized weather forecast is configured to make the sensory temperature felt by the individual into data and learn it with artificial intelligence so that the weather forecast can be made in consideration of the individual's characteristics.
이하, 본 발명의 사용과정에 대하여 설명하면 다음과 같다.Hereinafter, the use process of the present invention will be described.
상기한 바와 같이 본 발명은 일기예보에 있어서 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 (2)개인 맞춤 일기예보로 구성된 본 발명을 적용하여 실시하게 되면, 개개인마다 느끼는 체감온도가 다른 문제점을 해소하도록 한 것이다.As described above, the present invention is composed of (2) personalized weather forecast configured to make the sensory temperature felt by the individual as data and learn it with artificial intelligence so that the weather forecast can be made by considering the characteristics of the individual in the weather forecast. When the present invention is applied and implemented, it is intended to solve the problem that the sensory temperature felt by each individual is different.
또한 본 발명의 실시에 있어, 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 (2)개인 맞춤 일기예보로 구성한 본 발명을 적용하여 실시하게 되면, 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 될 것이다.In addition, in the practice of the present invention, when the present invention, which consists of (2) personalized weather forecast, which is configured to make the sensory temperature felt by an individual as data and learn it with artificial intelligence, is applied and implemented, further considering the characteristics of the individual You will be able to make a weather forecast.
2: 개인 맞춤 일기예보2: Personalized weather forecast
Claims (2)
개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성한 (2)개인 맞춤 일기예보로 구성 된 것을 특징으로 하는 개인의 특성을 고려한 일기예보.In weather forecasting,
A diary that takes into account individual characteristics, characterized in that it consists of (2) personalized weather forecasts, which are configured to make the sensory temperature felt by the individual into data and learn it with artificial intelligence so that the weather forecast can be made in consideration of the individual characteristics. forecast.
(2)개인 맞춤 일기예보를 통하여 개개인의 특성을 더욱 고려하여 일기 예보를 할 수 있게 개인이 느낀 체감온도를 데이터로 만들고, 인공지능으로 학습 시키도록 구성함을 특징으로 하는 개인의 특성을 고려한 일기예보.According to claim 1,
(2) Diary considering individual characteristics, characterized in that it is configured to make the sensory temperature felt by the individual into data and learn it with artificial intelligence so that the weather forecast can be made by considering the characteristics of the individual through the personalized weather forecast forecast.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020210137295A KR20230053923A (en) | 2021-10-15 | 2021-10-15 | The personal forecast |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020210137295A KR20230053923A (en) | 2021-10-15 | 2021-10-15 | The personal forecast |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230053923A true KR20230053923A (en) | 2023-04-24 |
Family
ID=86141655
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020210137295A KR20230053923A (en) | 2021-10-15 | 2021-10-15 | The personal forecast |
Country Status (1)
| Country | Link |
|---|---|
| KR (1) | KR20230053923A (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110062911A (en) | 2009-12-04 | 2011-06-10 | 현대자동차주식회사 | Drive control apparatus and method for electric oil pump |
-
2021
- 2021-10-15 KR KR1020210137295A patent/KR20230053923A/en unknown
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110062911A (en) | 2009-12-04 | 2011-06-10 | 현대자동차주식회사 | Drive control apparatus and method for electric oil pump |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mishchuk et al. | Prospects of assessing the impact of external student migration on restoring country's intellectual potential (the case study of Ukraine) | |
| Pelling et al. | A climate resilience research renewal agenda: learning lessons from the COVID-19 pandemic for urban climate resilience | |
| Hu | Impact of rural-to-urban migration on family and gender values in China | |
| Zdrenka et al. | Ethnic and national attachment as predictors of wellbeing among New Zealand Europeans, Māori, Asians, and Pacific Nations peoples | |
| Hulme et al. | Keeping prediction in perspective | |
| KR20230053923A (en) | The personal forecast | |
| Pendola et al. | Adapt or abandon: Demographic shocks and principal turnover | |
| Macmurray | Freedom in the personal nexus | |
| Wu et al. | Latino and Alzheimer’s: Social determinants and personal factors contributing to disease risk | |
| Ponce de Leon | Of warnings and waiting: An examination of the path of information for two communities hit by Typhoon Haiyan | |
| Siegelbaum | Introduction: Mapping private spheres in the Soviet context | |
| Sajadi et al. | Analysis of drainage morphometry and tectonic activity in the Dehgolan Basin Kurdistan, Iran, using remote sensing and geographic information system | |
| Karatnycky et al. | Mauritania | |
| Renton | Deepening Democracy: Institutional Innovations in Empowered Participatory Governance | |
| Ma et al. | Digital Inclusion, Psychological Well-Being, and Digital Competence | |
| Visser | Losing touch? Older people and COVID-19 | |
| Humphreys et al. | Modelling window-opening and the use of other building controls | |
| Kaplan | Cross-cultural art therapy: A now and future therapy | |
| Byg et al. | Divided Dirigisme: Nationalism, Regionalism, and Reform in the German Film Academies | |
| Schmid | Northern Areas of Pakistan | |
| Olazabal et al. | Local strategies for climate change adaptation: Urban planning criteria for municipalities of the Basque Country, Spain | |
| Kim et al. | Digital Inclusion and Social Networks Among Adults with Disabilities in South Korea | |
| Kherlenchimeg et al. | Ecotypification of local populations of rare species Calvatia gigantea (Basidiomycota: Agaricales) in ultracontinental zones of Mongolia and Russia | |
| Purdy | Enlightenment in the European City: Rethinking German Urbanism and the Public Sphere | |
| Henry et al. | Social control theories |