Intelligent Management and Monitoring System

For Industrial and Organizational Mechanical and Electrical Equipment

This system represents a new generation of management infrastructure in industries that, through the use of modern technologies such as artificial intelligence, sensor networks, and machine learning algorithms, enables integrated monitoring, analysis, and control of mechanical and electrical equipment.

The main goal of this system is to increase energy efficiency, reduce energy consumption, minimize wear and unnecessary operational changes, lower maintenance costs, and enhance safety and operational stability in industrial and organizational environments.

In this system, operational data from equipment are collected in real time, stored, and processed in a central analytical platform. Automatic data analysis enables managers to make fast, accurate, and data-driven decisions.

High flexibility, customization capabilities, and scenario scripting for different operational conditions are among the key features of this system.

The Shayan Bargh Intelligent Industrial Equipment Management System is designed to control equipment and optimize energy consumption in industrial and facility environments.

This system can receive feedback from lighting equipment and, based on environmental data such as light intensity, human presence, and energy status, automatically and intelligently adjust lighting levels.

Two-way communication between the BMS (Building Management System) and lighting products enables real-time monitoring, analysis, and control, which increases efficiency, ensures operational stability, and results in significant energy savings.

Shayan Bargh lighting equipment is fully integrated with this system and supports complete hardware and software interoperability.

Capabilities and Advantages

1. Intelligent Energy Management:

By analyzing real-time consumption data and comparing it with reference patterns, the system optimizes electricity and fuel usage, leading to substantial energy cost reduction.

2. Monitoring and Control of Critical Equipment:

The system continuously and intelligently monitors the status of key equipment such as air handling units, boilers, chillers, pumps, lighting, exhaust fans, conveyors, and entry/exit doors via a central control system.

Using AI algorithms and automatic data analysis, it detects abnormal behavior and issues early warnings before sudden breakdowns occur.

3. Preventive Maintenance:

With AI and fuzzy logic algorithms, the system continuously analyzes equipment behavior and accurately detects anomalies.

Through intelligent modeling and fuzzy analysis of performance data, it provides timely and precise warnings to prevent unexpected failures.

Additionally, a dedicated Preventive Maintenance (PM) module records operational history and service logs, allowing regular scheduling of maintenance activities.

An embedded AI system monitors equipment performance in real time, detects even minor deviations from normal operation, and automatically suggests corrective actions.

4. Optimization of Consumption and Performance:

By intelligently analyzing data and defining scenarios based on the current operational state, the system automatically adjusts equipment operation during low-load hours or under specific environmental conditions.

This process prevents energy waste and unnecessary strain on equipment while significantly improving overall system efficiency.

Industrial Applications

This system can be implemented in a wide range of industries, including manufacturing complexes, factories, power plants, office buildings, hospitals, data centers, and petrochemical units.

Its subsystems include modules for ventilation management, heating and cooling facilities, intelligent lighting management, transportation equipment, and safety systems.

By connecting these modules to a shared software platform, centralized management and intelligent coordination between facility components become possible.

This approach improves stability, reduces energy consumption, and supports optimal decision-making in dynamic operational environments.

Adaptive scenario scripting also allows managers to modify equipment settings based on organizational, seasonal, or emergency conditions, ensuring optimal and flexible system performance in all situations.

Technical and Managerial Features

Real-time monitoring of mechanical and electrical equipment via a web-based dashboard and mobile application

Automatic data recording and analysis to extract performance patterns and continuously improve efficiency

Intelligent and instant alerts in case of malfunction or abnormal operation

Multi-level access control for managers, supervisors, technical experts, and contractors

Integration with security systems, access control, lighting, and infrastructure facilities

Analytical reporting and performance chart generation for informed managerial decision-making

Support for industrial communication protocols such as Modbus, BACnet, KNX, and MQTT for equipment connectivity Cloud storage and automatic data backup to ensure information stability

Energy Management System (EMS) for comparing consumption over time and identifying energy wastage points

Automatic Load Management to control energy consumption during peak hours and prevent cost increases

Support for Preventive Maintenance (PM) and Computerized Maintenance Management System (CMMS) modules for scheduling services, recording maintenance history, and evaluating equipment performance

Intelligent Energy Management Systems