◆Making heatstroke prevention in organizations and groups more accessible and accurate: With the enforcement of the revised Industrial Safety and Health Regulations in June 2025, heatstroke prevention in the workplace is becoming increasingly important. This app is a specialized application for sharing and recording the heat index (WBGT) and weather information in real time for safety and health management within organizations and groups.

In addition to the basic functions of the personal app "WBGT Simple - Heatstroke Prevention" (free and ad-free), it is equipped with NFC (Near Field Communication) tag reading and AI-OCR (Artificial Intelligence-based Optical Character Recognition) for instant identification of work locations.

Furthermore, it is possible to semi-automatically send work locations, worker names, departments, current heat index, weather data, etc., to management departments via email. It strongly supports organizational safety management (occupational safety and health management) by understanding and logging "when," "where," "who," and "what kind of hot environment" people are working in in real time. The most significant feature is that it does not use GPS (location information) to identify work locations, allowing for operation while completely protecting corporate confidential information and on-site privacy.

Furthermore, this app can also function as an email sending app for NFC and AI-OCR data by stopping the acquisition of online weather data, allowing for various uses depending on your ideas.

https://www.lpd-lab.com/weather-wbgt/heatstroke-prevention-mandatory-related/

【1. Six Major Features of This App】
(1) No Dedicated Equipment Required: There is no need to carry bulky measuring instruments with black globes.
(2) Supports 200,000 Locations Worldwide: In addition to 1400 locations in Japan, it supports detailed weather data from around the world.
(3) Estimation of Outdoor Heat Index Considering Wind Speed: It calculates values that reflect wind speed in real time, which was difficult with conventional measuring instruments.
(4) Adoption of a Semi-Physical Model: Unlike statistical models specialized for Japan, it is equipped with an estimation algorithm based on physical laws. It maintains high accuracy even at overseas sites. (5) GPS-free safety design: By using NFC tag reading and AI-OCR, accurate work location identification is possible without granting location access permissions to the app.

(6) Automated field reporting and logging: Heat index and worker information are sent semi-automatically via email. By aggregating the received data in a spreadsheet, a thermal environment log of the site can be easily created.

[2. How can the outdoor heat index be determined without a black globe?] This app estimates solar radiation using a physical model that combines parameters such as the solar constant, latitude and longitude, cloud cover, temperature, and humidity. This enables precise simulation using only a smartphone, without the need for a black globe (black sphere) to physically measure solar heat.

https://www.lpd-lab.com/weather-wbgt/estimate-model/

[3. How can it support over 200,000 locations worldwide and over 1,400 locations in Japan?] While established statistical models (such as the Ono-Tonouchi model) are based on "past data from specific domestic weather stations," this app's estimation model uses Stull's equation, Okada and Kusaka's equation, and a physical estimation algorithm for solar radiation (Watanabe-Gemini model 1). Its strength lies in its ability to derive highly accurate WBGT from real-time online weather data using only a smartphone. A comparison of the estimated values from both models can be viewed using the following Windows freeware (with graphing functionality):

https://www.lpd-lab.com/weather-wbgt/download/

[4. Why is considering wind speed important?] Many conventional heat index meters could not evaluate the cooling effect of wind speed. This app estimates the outdoor heat index reflecting the effect of wind speed in real time.

[5. [Why NFC and AI-OCR are superior to GPS (location information)] Constantly allowing "GPS location information use" on smartphones carries serious security risks, such as the identification of individual activity history and the leakage of company client information and new project site details. This application does not request any location information permissions. It obtains location information by reading NFC tags placed on-site, or by utilizing AI-OCR reading of plates and signs in remote work locations where NFC tag placement is difficult, thus completely protecting confidential company information and worker privacy.

[6. System Requirements] OS: Android 8.0 or later (NFC or camera function recommended)

[7. Bulk Implementation for Corporations, Organizations, and Groups] This application is designed to be useful for safety and health management in various groups, including not only large organizations but also small teams and clubs on-site. If you want to distribute and install the app to multiple members at once, the smoothest and most recommended method is for the administrator to purchase "Google Play Gift Codes (digital codes)" online for each member and distribute them to each member for them to redeem (use the codes).
*Please note that due to changes in Google's specifications, the "bulk purchase" function for app licenses on Managed Google Play is currently not supported.
*We also support bulk distribution via Managed Google Play using your company's device management system (MDM).

[8. Easy to Use]
(1) Initial Setup: Launch the app and register your free OpenWeather API key according to the manual on the settings page.
(2) Location Setting: Enter the "city name (in Roman letters)" for which you want to check the heat index.
(3) Monitoring: The estimated WBGT values for outdoor and indoor locations will be displayed in real time. Please see the manual below for details.
(4) NFC Page: Scan the NFC tag that the administrator has previously installed (written) at the site with your smartphone. You can semi-automatically send report emails including work location, worker, and current WBGT.
(5) AI-OCR page: Even with NFC-incompatible devices, you can semi-automatically send email reports by using AI-OCR recognition on work site plates, etc., with the camera. Manual correction and editing are also possible.
https://www.lpd-lab.com/weather-wbgt/weather-heat-index-monitor-nfc-ocr-manual/

[9. Registration for OpenWeather Free API Key] To obtain the latest weather data with this application, you need to register for OpenWeather (weather information provision service) for free. The registration procedure is explained in detail at the following URL.
https://www.lpd-lab.com/weather-wbgt/openweather-registration-method/

[10. Privacy Policy] This application is designed with user privacy as the top priority.
- Automatic acquisition of location information is not performed (GPS is not used).
- Only the "city name" arbitrarily set by the user is used to acquire weather information. * All image and text data acquired via the camera (OCR function) and NFC function are processed only locally on the device and are not transmitted or collected externally.
For details, please see the privacy policy.
https://www.lpd-lab.com/weather-wbgt/privacypolicy/

[11. Regarding the Acquisition of Weather Data] The weather information displayed by this application uses the API provided by OpenWeather.
* Weather data provided by OpenWeather (https://openweathermap.org/)
* Data is licensed under the Open Database License (ODbL).
The developer of this application is not responsible for the accuracy of the weather data or any delays in delivery.

[12. Disclaimer]
* The WBGT value calculated by this application is an estimated value based on a physical model. Please use it as a reference value for heatstroke prevention and as an aid for on-site safety management.
* Final decisions regarding medical and safety judgments should be made using specialized measuring instruments as needed. * The developers assume no responsibility for any damages resulting from the use of this application.

[13. Background and Acknowledgments] This project is a new endeavor that combines LP&D LABORATORY's scientific expertise (materials science and physical models) with the latest AI technology. We collaborated with Google's AI model "Gemini" as a development partner to implement the WBGT heat index estimation model (Watanabe-Gemini Model 1) and the application. We are deeply grateful for their advice on object-oriented design and their significant technical cooperation in logic construction.

[14. Contact Us] Please submit your opinions, requests, and bug reports via the following website:

https://www.lpd-lab.com/weather-wbgt/contact-us/

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