iGreen provides a number of modules to ensure that infrastructure facilities get the utmost value. iGreen modules come with a set of predefined reports suited to the needs of various verticals. The reports can then be configured and tailored within minutes. Choose the relevant iGreen module(s) according to your facility’s immediate needs and add others as those needs evolve.
The iGreen reporting module is based on real-time analysis of the facility and its performance in order to ensure insightful decision making. Its intuitive graphical interface presents a visual hierarchal tree of the infrastructure facility’s assets. Using data collected from disparate sources, queries can be executed without extensive technical know-how and reports can be configured and generated within minutes. The Reporting module provides operational, quantitative and analytic reports that can be distributed in different formats via email and/or SMSto be shared across the organization and even outside the organization.
Equipment and preventive maintenance, as well as quality assurance, are critical components of infrastructure management. With iGreen’s Preventive Maintenance module, infrastructure facilities can easily, efficiently and effectively evaluate their assets in order to schedule equipment maintenance processes. In addition, trend reports can be run for preventive maintenance, maintenance need forecasting and quality assurance inspectionsall to ensure maximum infrastructure robustness and efficiency.
Extending the capabilities of traditional HMI/SCADA software, iGreen’s Alerts and Event Management module provides easy-to-use tools to track, evaluate and control ongoing and future events. This powerful module uses an advanced analysis algorithm to provide the following key capabilities:
It has become a common quality assurance practice to use internal and external laboratories for sampling and testing products, adding to the volume of the plant’s data overload. iGreen’s Laboratory module imports sampling files in different file formats from a wide variety of external resources such as laboratories and meteorology stations. It then efficiently analyzes the data into a format that is compatible with the facility’s BI/data management tools so that lab results can be effectively factored into decision making.