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https://github.com/zionc27/iot-workplace-safety-and-security--monitoring-with-cloud-processing
Integration of cloud processing and monitoring capabilities to efficiently manage sensor data.
https://github.com/zionc27/iot-workplace-safety-and-security--monitoring-with-cloud-processing
amazon-web-services aws-sns dht11 dynamodb flame-sensor iot iot-analytics iot-core iotcore lambda-functions mq2-gas-sensor mqtt php raspberry-pi s3-bucket sagemaker
Last synced: about 2 months ago
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Integration of cloud processing and monitoring capabilities to efficiently manage sensor data.
- Host: GitHub
- URL: https://github.com/zionc27/iot-workplace-safety-and-security--monitoring-with-cloud-processing
- Owner: ZionC27
- Created: 2023-12-12T19:32:56.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-01T21:53:10.000Z (5 months ago)
- Last Synced: 2024-08-01T23:38:53.737Z (5 months ago)
- Topics: amazon-web-services, aws-sns, dht11, dynamodb, flame-sensor, iot, iot-analytics, iot-core, iotcore, lambda-functions, mq2-gas-sensor, mqtt, php, raspberry-pi, s3-bucket, sagemaker
- Language: PHP
- Homepage:
- Size: 3.62 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# IoT Workplace Safety and Security Monitoring with Cloud Processing
## Introduction
This project demonstrates the integration of cloud processing and monitoring capabilities to manage sensor data effectively. It highlights a system designed to collect sensor data, process it through cloud infrastructure, and visualize the results via a web interface.
## Table of Contents
1. [Project Overview](#project-overview)
2. [System Overview](#system-overview)
3. [Flow Chart](#flow-chart)
4. [Hardware Components](#hardware-components)
5. [Technologies and Services](#technologies-and-services)
6. [Circuitry](circuitry)
## Project Overview
**Key Features:**
- **Cloud Integration:** Efficiently collects and transmits sensor data to the cloud for processing and storage.
- **Cloud Services Utilization:** Utilizes various cloud services for data processing and storage.
- **Visualization through Website Interface:** Showcases stored data visually via a website interface, enabling insights and informed decision-making.
- **Analytics Tools Integration:** Incorporates analytics tools for data analysis, providing deeper insights.
- **Raspberry Pi Control:** Demonstrates the system's capability to control the Raspberry Pi, triggering specific actions, highlighting its versatility and control over the IoT environment.
**Contributors:**
- AWS Design/Code and Raspberry Pi Hardware/Code: [Zion](https://github.com/ZionC27)
- Website Development: Kenichi, Gustavo, Thien
## System Overview
### Hardware/System
- **User Check-In:** Collects temperature data and evaluates user suitability.
- **Work Time:** Monitors environmental factors during work hours.
- **Off Work Turn On Security:** Activates sensors for security when off work.
- **Web Control:** Responds to MQTT messages to control system functions.
- **Turn Off System:** Closes all connections and terminates the program.
### Cloud Processing & Monitoring (AWS Services)
1. **AWS IoT Core**
- Uses MQTT for sending/receiving messages.
- IoT Rules direct data to specific services (Lambda, IoT Analytics).
2. **Lambda Function**
- Processes IoT data, sends it to DynamoDB, and triggers events (AWS SNS).
3. **AWS Analytics**
- Utilizes IoT Analytics Channel, Pipeline, and Data Store to store raw data in an S3 bucket.
- SageMaker enables data analysis through a Jupyter Notebook instance.
### Website (PHP-based)
1. **Login and Sign-up Pages**
- User authentication for system access.
2. **Main Page**
- Displays processed data stored in DynamoDB.
- Provides buttons for users to control work mode.
## Flow Chart:
## Hardware Components:
- **Raspberry Pi:** Microcontroller acting as the system's brain.
- **DHT11 Temperature / Humidity Sensor:** Detects surrounding temperature and humidity.
- **Flame Sensor:** Detects the presence of a flame in front of the sensor.
- **MQ-2 Gas Sensor:** Detects various gases like LPG, i-butane, propane, methane, alcohol, Hydrogen, and smoke in the surroundings.
- **Collision Sensor:** Detects collisions with the sensor.
- **LED:** Light emitting diode.
- **ADC (Analog to Digital Converter):** Converts analog signals to digital.
## Technologies and Services:
- **MQTT (MQ Telemetry Transport) Protocol:** Lightweight, publish-subscribe, machine-to-machine network protocol, primarily used in IoT.
- **AWS IoT Core:** Managed cloud service facilitating secure communication between IoT devices and the AWS Cloud through MQTT.
- **AWS IoT Analytics:** Processes and analyzes IoT data at scale, enabling data collection, storage, processing, querying, and integration with other AWS services for comprehensive analytics.
- **AWS DynamoDB:** Fully managed NoSQL database service providing seamless scalability, high availability, and low-latency data storage and retrieval.
- **AWS SageMaker:** Platform for building, training, and deploying machine learning models at scale.
- **Amazon S3 (Simple Storage Service):** Scalable, secure, highly available object storage service for storing and retrieving any amount of data.
- **AWS Lambda:** Serverless computing service allowing code execution without server management.
- **AWS SNS (Simple Notification Service):** Fully managed messaging service for publishing and delivering messages to endpoints or distributed systems.
- **IAM (Identity and Access Management) User:** Represents a person or application in the AWS environment, granting specific permissions based on policies assigned by an AWS account administrator.
- **User-end Website:** Monitors and allows admin users to view employee health and workplace conditions. Implements security features like Strong Password Rule, Hashing, and Session Control.
- **Strong Password Rule:** Requires users to input a strong password with uppercase, numbers, and symbols for signup.
- **Hashing:** Converts plaintext passwords into irreversible hashed values before saving in the database, enhancing security.
- **Session Control:** Authenticates, authorizes users, manages session timeouts, implements secure protocols (like HTTPS), and monitors for suspicious activities or unauthorized access within user sessions.
## Circuitry:
