KR-20260062226-A - Real-time perceived temperature monitoring system for preventing heat-related illnesses during the hottest summer months using artificial intelligence big data

Abstract

The present invention relates to a real-time perceived temperature monitoring system for preventing heat-related illnesses during hot summers using artificial intelligence big data, and more specifically, to a real-time perceived temperature monitoring system for preventing heat-related illnesses during hot summers using artificial intelligence big data that is improved to prevent safety accidents such as heat-related illnesses by immediately calculating the perceived temperature from real-time data collected through IoT-based temperature and humidity sensors and remotely monitoring the perceived temperature of the work site to prevent heat-related illnesses among construction site workers during hot summers.

Inventors

• 이동환
• 구경영
• 석원균

Assignees

• 롯데건설 주식회사

Dates

Publication Date

20260507

Application Date

20241028

Claims (5)

1. A real-time temperature monitoring system for preventing heat-related illnesses during hot weather using artificial intelligence big data, characterized by comprising: a column (100) with a height of 1.2-1.5m installed at each work site of a construction site; a sensor unit (200) equipped with IoT functions installed at the top of the column (100); a control unit (300) fixed to the column (100) and electrically connected to and controlling the sensor unit (200); and a display (400) fixed to the column (100) and displaying temperature and humidity, which are data sensed under a control signal from the control unit (300), and a temperature converted from this data.
2. In paragraph 1, A real-time perceived temperature monitoring system for preventing heat-related illnesses during hot weather using artificial intelligence big data, characterized in that a wireless communication unit (500) is further connected to the control unit (300), and the wireless communication unit (500) is configured to wirelessly communicate with a management server (600) installed in a management office where a health manager works to transmit data sensed by the sensor unit (200), and the management server (600) stores and manages the received data in a database (610).
3. In paragraph 2, A real-time temperature monitoring system for preventing heat-related illnesses during hot weather using artificial intelligence big data, characterized in that the above-mentioned management server (600) outputs a warning sound and a voice recommending a vacation through an alarm (700) connected to a control unit (300) when the temperature exceeds a standard value.
4. In paragraph 2, The above management server (600) is characterized by sending a push notification recommending a vacation to a worker terminal (800) or sending an SMS recommending a vacation when the perceived temperature exceeds a threshold value, and is a real-time perceived temperature monitoring system for preventing heat-related illnesses during hot weather using artificial intelligence big data.
5. In paragraph 1, A real-time perceived temperature monitoring system for preventing heat-related illnesses during hot weather using artificial intelligence big data, characterized in that the sensor unit (200) has an IoT function and, when workers install a specific app and are in a constant Bluetooth communication state, outputs temperature and humidity information in real time to a worker terminal (800) carried by the workers.

Description

Real-time perceived temperature monitoring system for preventing heat-related illnesses during the hottest summer months using artificial intelligence big data The present invention relates to a real-time perceived temperature monitoring system for preventing heat-related illnesses during hot summers using artificial intelligence big data, and more specifically, to a real-time perceived temperature monitoring system for preventing heat-related illnesses during hot summers using artificial intelligence big data that is improved to prevent safety accidents such as heat-related illnesses by immediately calculating the perceived temperature from real-time data collected through IoT-based temperature and humidity sensors and remotely monitoring the perceived temperature of the work site to prevent heat-related illnesses among construction site workers during hot summers. Workers working outdoors are required to provide fluid intake and rest based on certain standards of the wind chill temperature to prevent heat-related illnesses. However, since various measurement data appear depending on the space and location even within the same site, it is not easy to manage them efficiently. For example, indoor underground spaces not exposed to direct sunlight exhibit a high perceived temperature due to high humidity, even though the actual temperature is not higher than the outside temperature; similarly, outdoor workspaces where metal formwork is installed show a high perceived temperature because direct sunlight and reflected light from the floor cause the actual temperature to be higher than the temperature recorded by the meteorological agency. Measuring the perceived temperature for these various workspaces is the responsibility of on-site health managers, and it is highly inefficient as they must repeatedly visit each workspace individually to measure temperature and humidity and calculate the perceived temperature. Furthermore, since this measurement data is recorded and stored on paper, it is currently unable to be utilized as meaningful data due to omissions, loss, or damage. In this regard, work regulations regarding heat-related illnesses at construction sites during the hot season are operated in caution, warning, and danger stages by calculating the perceived temperature based on temperature and humidity data measured by the Korea Meteorological Administration. However, this data is measured under conditions different from those of the construction site, and the temperature and humidity at the site already show high values prior to the Meteorological Administration's announcement. In addition, the measurement data from the Korea Meteorological Administration is unmanned observation data from a distance from the site and does not reflect the actual conditions at the site. In particular, at construction sites exceeding a certain amount (80 billion won), health managers are appointed to take responsibility for the health management of on-site workers, but they face limitations in that they must conduct various measurement activities because the working environment varies depending on the space and location even within the same site. FIG. 1 is a schematic diagram of a system according to the present invention. FIG. 2 is a block diagram showing the configuration of a system according to the present invention. Hereinafter, preferred embodiments according to the present invention will be described in more detail with reference to the attached drawings. Prior to describing the present invention, the following specific structural or functional descriptions are provided merely for the purpose of illustrating embodiments according to the concept of the present invention. Embodiments according to the concept of the present invention may be implemented in various forms and should not be interpreted as being limited to the embodiments described herein. In addition, since embodiments according to the concept of the present invention may be subject to various modifications and may take various forms, specific embodiments are illustrated in the drawings and described in detail in this specification. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosed forms, and it should be understood that they include all modifications, equivalents, and substitutions that fall within the spirit and scope of the present invention. Before proceeding with the explanation, the Internet of Things (IoT) is fundamentally an important technology and service environment in which all objects embed sensors and are connected to one another via communication. They collect and exchange big data gathered in real-time to perform specific functions or analyze the collected information to provide new value that did not exist before. At this point, the most important aspect of the Internet of Things is not merely the simple connection between the Internet and objects, but the creation o