Easily Accessibility Of Power Plant Data & Reporting.pptx

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The document describes a project to create a centralized web-based dashboard for accessing and analyzing power plant performance data. Data from various sensors will be collected and transmitted to a processing unit then stored in the cloud. A web dashboard will be developed to provide a user-friendly interface for analyzing this data, eliminating the need for separate mobile apps. Security measures like encryption and access control will protect sensitive information and allow improved management and decision making for power plant operations. Initial work includes setting up an IoT sensor system and transmitting data to the cloud.

EASILY ACCESSIBILITY OF POWER PLANT
DATA & REPORTING

Abstract
 The project aims to address the challenge of enhancing the accessibility and analysis of power plant
performance and operational data.
 Instead of developing a mobile app, the solution will involve the creation of a web-based dashboard
accessible via a web browser.
 Data from various sensors, such as temperature, pressure sensor, water level sensor, flame sensor, oxygen
sensor, flow sensor, safety sensor and humidity sensors, will be collected and transmitted using ESP
modules to a data processing unit.
 This data will then be stored, processed, and made available for analysis through a customized web
dashboard. The primary goal is to provide an efficient, user-friendly, and centralized platform for accessing
and analyzing power plant data, eliminating the need for installing mobile applications.

Existing Innovation technology
 Supervisory Control and Data Acquisition (SCADA) Systems
 Mobile Applications
 IoT-Based Systems
 Web-Based Dashboards

Approach to Solve the Problem
1. Sensor Data Collection
2. Data Storage and Processing
3. Web Dashboard Development
4. User Authentication
5. Data Security
6. PDF Report Generation

Roadmap/Flow Diagram to Develop Final Solution
1. Sensor Data Collection
2. Data Transmission to Data Processing Unit
3. Data Storage and Processing
4. Web Dashboard Development
5. User Authentication
6. Data Security Implementation
7. PDF Report Generation
8. Testing and Quality Assurance
9. Deployment

Linking excel sheets
 Identify the criteria
 Create a decision-making formula
 Apply the formula - In the cell where you want the linked data to appear, enter the decision-making formula
you created. It will evaluate the conditions and display the appropriate data from the second sheet.
 Test and adjust - Ensure that your decision-making formula works as expected and adjust it if necessary.

Tools and Technologies
A. IoT Sensors
B. ESP Modules
C. Cloud-Based Data Storage
D. Web Development Frameworks
E. User Authentication Tools
F. Data Security Measures

Challenges/Risks in Implementing the Final Prototype
 Data Security
 User Authentication
 Web Dashboard Development
 Data Processing
 Integration with Existing Systems
 Scalability

Outcome
1. Easily accessible and user-friendly web dashboard for power plant data analysis.
2. Enhanced decision-making capabilities for power plant management.
3. Reduced manual data management efforts.
4. Encryption, firewalls, and access control will be employed to protect sensitive data will provide Improved
data security and user access control.

Work Done Till Date
 IoT-based system set up, including temperature and humidity sensor data collection(Start by installing
sensors and data collection devices throughout the prototype. These sensors should cover critical
parameters such as temperature, pressure. Ensure these sensors are connected to a central data
acquisition system).
 Data transmission between the IOT sensors and ESP module to a cloud server using Arduino services.
 Preliminary discussions and planning for web dashboard development.
 Identified potential tools and technologies for the project.

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Easily Accessibility Of Power Plant Data & Reporting.pptx

1. EASILY ACCESSIBILITY OF POWER PLANT DATA & REPORTING

2. Abstract  The project aims to address the challenge of enhancing the accessibility and analysis of power plant performance and operational data.  Instead of developing a mobile app, the solution will involve the creation of a web-based dashboard accessible via a web browser.  Data from various sensors, such as temperature, pressure sensor, water level sensor, flame sensor, oxygen sensor, flow sensor, safety sensor and humidity sensors, will be collected and transmitted using ESP modules to a data processing unit.  This data will then be stored, processed, and made available for analysis through a customized web dashboard. The primary goal is to provide an efficient, user-friendly, and centralized platform for accessing and analyzing power plant data, eliminating the need for installing mobile applications.

3. Existing Innovation technology  Supervisory Control and Data Acquisition (SCADA) Systems  Mobile Applications  IoT-Based Systems  Web-Based Dashboards

4. Approach to Solve the Problem 1. Sensor Data Collection 2. Data Storage and Processing 3. Web Dashboard Development 4. User Authentication 5. Data Security 6. PDF Report Generation

5. Roadmap/Flow Diagram to Develop Final Solution 1. Sensor Data Collection 2. Data Transmission to Data Processing Unit 3. Data Storage and Processing 4. Web Dashboard Development 5. User Authentication 6. Data Security Implementation 7. PDF Report Generation 8. Testing and Quality Assurance 9. Deployment

6. Linking excel sheets  Identify the criteria  Create a decision-making formula  Apply the formula - In the cell where you want the linked data to appear, enter the decision-making formula you created. It will evaluate the conditions and display the appropriate data from the second sheet.  Test and adjust - Ensure that your decision-making formula works as expected and adjust it if necessary.

7. Tools and Technologies A. IoT Sensors B. ESP Modules C. Cloud-Based Data Storage D. Web Development Frameworks E. User Authentication Tools F. Data Security Measures

8. Challenges/Risks in Implementing the Final Prototype  Data Security  User Authentication  Web Dashboard Development  Data Processing  Integration with Existing Systems  Scalability

9. Outcome 1. Easily accessible and user-friendly web dashboard for power plant data analysis. 2. Enhanced decision-making capabilities for power plant management. 3. Reduced manual data management efforts. 4. Encryption, firewalls, and access control will be employed to protect sensitive data will provide Improved data security and user access control.

10. Work Done Till Date  IoT-based system set up, including temperature and humidity sensor data collection(Start by installing sensors and data collection devices throughout the prototype. These sensors should cover critical parameters such as temperature, pressure. Ensure these sensors are connected to a central data acquisition system).  Data transmission between the IOT sensors and ESP module to a cloud server using Arduino services.  Preliminary discussions and planning for web dashboard development.  Identified potential tools and technologies for the project.

Editor's Notes

NOTE: To change the image on this slide, select the picture and delete it. Then click the Pictures icon in the placeholder to insert your own image.

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Editor's Notes