Что такое Автоматизированная система контроля состояния здоровья перед допуском к работе?
---**Chart/Diagram Description:**
* **Type:** Flowchart / System Diagram
* **Main Elements:**
* The diagram illustrates a data acquisition and processing system starting from sensors, routed through microcontrollers, and ending in online services and notifications.
* **Sensors:**
* Icon: Red heart with a pulse line. Label: PULSE SENSOR.
* Icon: Thermometer. Label: TEMPERATURE SENSOR.
* Icon: Orange circle. Label: MQ3 ALCOHOL SENSOR.
* **Microcontroller Board:**
* Icon: Blue rectangular board with connectors. Label: ARDUINO UNO.
* **Communication Module:**
* Icon: Blue rounded rectangle with signal strength bars. Label: ESP8266.
* **Online Data Platform:**
* Icon: Blue rectangle with a window icon and a line chart. Label: ThingSpeak.
* **Automation Service:**
* Icon: Blue rounded rectangle. Label: IFTTT.
* **Output Destinations:**
* Icon: Blue circle with a white paper airplane (representing messaging/notifications).
* Icon: Red envelope (representing email).
* Icon: Green document with a grid (representing a spreadsheet).
* **Connections and Flow:**
* A curved line with an arrow points from the TEMPERATURE SENSOR to the ARDUINO UNO.
* A curved line with an arrow points from the MQ3 ALCOHOL SENSOR to the ARDUINO UNO.
* A curved line with an arrow points from the ARDUINO UNO to the ESP8266.
* A straight vertical line with an arrow points upwards from the ESP8266 to ThingSpeak.
* A straight horizontal line with an arrow points from ThingSpeak to IFTTT.
* A straight vertical line with an arrow points downwards from IFTTT to the three output destination icons (paper airplane, email, spreadsheet).
**Textual Information:**
* PULSE SENSOR
* TEMPERATURE SENSOR
* MQ3 ALCOHOL SENSOR
* ARDUINO UNO
* ESP8266
* ThingSpeak
* IFTTT
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An automated health monitoring system for work admission is a comprehensive technical solution designed to ensure workplace safety. This system automatically collects and analyzes key health parameters such as pulse, temperature, and alcohol levels before allowing employees to start their work shift. The main purpose is to provide objective health assessment, minimize human error, and prevent workplace accidents due to health-related issues.
The system consists of several key hardware components working together. Three main sensors collect vital health data: a pulse sensor monitors heart rate, a temperature sensor measures body temperature, and an MQ3 alcohol sensor detects alcohol presence. The Arduino Uno serves as the main microcontroller, processing sensor data, while the ESP8266 module provides WiFi connectivity. On the software side, ThingSpeak acts as the data collection platform, and IFTTT provides automation services for real-time notifications and responses.
The data flow process follows six key steps. First, sensors continuously collect vital health parameters from the employee. Second, the Arduino microcontroller processes and validates this data for accuracy. Third, the ESP8266 module transmits the processed data to the ThingSpeak cloud platform. Fourth, ThingSpeak analyzes the data against predefined safety thresholds. Fifth, IFTTT triggers automated responses based on the analysis results. Finally, notifications are sent through various channels including email, messaging apps, or logged in spreadsheets for record keeping.
The system uses predefined safety thresholds to make objective decisions. Normal heart rate ranges from 60 to 100 beats per minute, body temperature should be between 36.1 and 37.2 degrees Celsius, and blood alcohol content must be zero for safety-critical work environments. The decision logic is straightforward: if all parameters fall within acceptable ranges, the employee is approved for work. If any single parameter exceeds the safety threshold, access is automatically denied. This automated approach provides numerous benefits including objective health assessment, reduced human error, real-time monitoring capabilities, automated documentation, improved workplace safety, and support for legal compliance requirements.
To summarize what we've learned about automated health monitoring systems: These systems provide objective pre-work health assessment using advanced sensor technology. The integration of pulse, temperature, and alcohol sensors with microcontrollers and cloud platforms enables real-time monitoring and immediate decision making. By establishing clear safety thresholds and automated response mechanisms, these systems significantly reduce human error while improving overall workplace safety standards and providing comprehensive documentation capabilities.