The wireless integrated Mesh network Building Management System using Zigbee

The technological revolution of the world is the current headline of all major information resources. Information is transmitting like a wind with the swift use of software tools which saves the cost of time, energy, and efforts. Being mindful of this advancement, building management system is becom

Project Title

The wireless integrated Mesh network Building Management System using Zigbee

Project Area of Specialization

Internet of Things

Project Summary

The technological revolution of the world is the current headline of all major information resources. Information is transmitting like a wind with the swift use of software tools which saves the cost of time, energy, and efforts. Being mindful of this advancement, building management system is becoming a huge part of smart cities, which is the reason for our efficient use of resources to design and implement the first smart showroom of Pakistan where we will handle large data sets through Artificial Intelligence to predict the future trends. With the enhancement in network technology, systems can be programmed smartly and malfunctions can be detected and fixed remotely.

Project Objectives

Objective 1: The major aim of the BMS is to guarantee the safety of facility operation, while also monitoring and optimizing the use and efficiency of its supervised subsystems to allow more efficient operation.

Objective 2: To make IoT and AI-based mesh networks for the transfer of data to control center commercially.

Objective 3: To make a web application with the user-friendly interface.

Project Implementation Method

As it is an automated system that is a single-stop solution for basic requirements like management, surveillance, and data handling. It is divided into 5 tasks.

Task 1: A market survey is very important to make a system affordable.

Task 2: Testing and setting of sensors to decide their placement.

Task 3: Development of IoT mesh Network to collect data from different sensors.

Task 4: Development of web app dashboard for the user for exporting all data to the web app and presenting all the data in readable form (graphically).

Task 5: Developing an algorithm and implementing it in our system for load forecasting.

Benefits of the Project

1. This is the first-ever Wireless BMS using Zigbee IEEE 802  on a small scale, we are using products and services through comparative analysis.

2. Buildings, Homes will be automated they can observe the per day consumption of electricity and can control it manually or the device can control it automatically and update them via notification using a text message.

3. The design system can predict the energy Kilo Watt hours consumption for the next week and month using the technique called load forecasting which benefits to again control the energy usage to our user.

4. Access control will be provided to commercial buildings and shops to secure system data from every user using the BMS system.

Technical Details of Final Deliverable

1. Survey:

The first step was to conduct surveys to get information about the client’s needs and requirements. A visit to Britlite and Clipsal was made to make the best choice for available IoT devices in the market.

2. Software Design:

The second task was to make power, lighting, and control drawings for a three-story showroom. This task was achieved using AutoCAD software. The next task is to calculate the lux level. To achieve the desired lux level DIALux software is to be used. This is done to make sure that the right models are used for Hardware Implementation.

3. Hardware Implementation:

A) Wireless – Zigbee IEEE 802 Mesh Network-Based BMS System:

1. Our main target is to convert traditional BMS to modern BMS and making it cost-effective. To achieve this target, we will use the Raspberry pi microprocessor. The above tasks are conducted to achieve the main target more effectively and efficiently. This system includes:

1. Fire Alarm System: Whenever a fire is detected, a message alert will be sent to the owner.
2. Temperature System: Whenever temperature increases above a set value, AC will be turned on and vice versa. This will be achieved by using a Proportional Integral Derivative Loop.
3. Motion Control System: This system will detect person movement and will turn on and off light accordingly.
4. Lighting Control System: This system will control the intensity of luminaries according to the present light scene.
5. Electricity usage Control System: This will control electricity consumption both manually and automatically. 
6. AI-based Surveillance System: It will consist of a face recognition system, Object/ Person tracking system, camera coordination using Pi to track Person, Person count.

The Zigbee IEEE 802 mesh network is designed for the coordination of the above-mentioned systems with each other and with the control unit (Raspberry pi).

B) Web Application:

A user-friendly web application will be developed for easy monitoring of all data. This web application will give data control over smart switches like fan control, light control, etc. For web applications, React, Js, and PYTHON will be used.

Moreover, the feature of Load forecasting will be provided in our application. This task will be achieved using the Regression model and Time Series Model.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Energy , Others , Security

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Industry, Innovation and Infrastructure, Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com