Clofel Technologies Pvt Ltd

ZephyrPower

Real-time Power Consumption Monitoring We have developed a web application aimed at revolutionizing the way factories monitor and manage power consumption.The client sought a solution to efficiently track and display real-time power consumption data for four key machines within their factory, backed by a robust database for long-term data storage and report generation. ZephyrPower Project Objectives We undertook the ZephyrPower project with a clear focus on achieving the following key objectives Real-time Data Collection Develop a system capable of gathering real-time power consumption data from each of the four machines independently. Data Centralization and Processing Aggregate and process data collected from the individual machines in a centralized system and store it securely in a database. User Interface Development Build a user-friendly web interface for authorized personnel to access and visualize the stored power consumption data. Security Ensure the system's robustness and security through third-party authentication integration. Project Objectives Real-time Data Collection An embedded system was established using the powerful ESP32 microcontroller. The system was programmed using Micro Python to interact with sensors capable of measuring electricity consumption by each machine. Real-time data acquisition was facilitated through Ethernet connections for reliability and low-latency data transfer. Data Centralization and Processing A centralized system, powered by NodeJS was developed to aggregate data from the four machines. This central system processed the incoming data and prepared it for storage and retrieval. Data was efficiently transferred and stored in a MongoDB database, ensuring scalability and data integrity. User Interface Development A user-friendly web interface was crafted using the React framework. Authorized personnel could access the interface from any device with internet connectivity. The interface offered various visualization tools and features for data analysis. Security The system was fortified with the integration of Auth0 a third-party authentication system. User data and system access were tightly controlled to protect sensitive information. Challenges Synchronizing data acquisition across all four machines in real-time. Ensuring scalability and efficiency in handling incoming data. Implementing robust authentication measures to protect sensitive data and system access. Ensuring seamless communication between the ESP32 microcontroller and the sensors. Aggregating and processing data from individual machines without loss or delay.