An important consideration for effective energy performance visualisation is that the basic energy use data is transformed into measures and metrics that allow for rapid and interpretable information. ECS has extensive experience in delivering performance analytics via the use of:
Process models – for simulation and change analysis.
Transformations – to effectively reduce data dimensionality as well as deal with noisy and incomplete energy data.
Statistical reviews – to clearly understand whether the process is in or out of energy control.
Drill through and across energy and production metrics to rapidly view the associated energy drivers and their impacts.
Due to the requirements for handling big data with our mining, industrial and mobility customers, ECS has developed the capability to sustainably acquire data that is used for the delivery of our Solutions.
We have our own analytical software and database development team that enables data acquisition from a broad range of sources and applications.
In order for us to do this, raw data and information are replicated to the ECS data warehouses where specialists process and transform the data to provide insight and Solutions to our respective clients.
This is facilitated by the ECS data communication network, which consists of the following components, systems and network integration:
Remote site servers typically installed with Windows Server, SQL Server and other relevant programs to facilitate consolidation of a stream of data from different sources in the remote site
Routers and firewalls for network security and management
Intelligent data acquisition programs
Systems for transactional and merge replication. This is to ensure bi-directional communication with respective remote sites
Integration of the data sets using specific database procedures for filtering, matching and transformation then takes place.
The cleansed and validated data is then used as the primary source for web-based performance reporting and performance analytics.
Monitoring: Our customers can monitor critical operational processes and activities using metrics of energy and process performance that trigger alerts when problems arise.
Analysis: They can analyse the root cause of problems by presenting relevant and timely information from multiple perspectives and at various levels of detail.
Management: ECS Dashboards allow our customers to manage people and processes to improve decisions, optimise energy performance, avoid costs and steer the operation in the right direction.
ECS Dashboards deliver the right information to the right users at the right time to optimise decisions and improve operational efficiency.
This information is presented in a unique monitoring format as well as directed analytics, such as performance colour coding, selectable summary statistics, simulation models, and statistical process control – the results of which are reduced energy costs, reduced emissions and avoided operational costs.
ECS Performance Dashboards are proven to accelerate results through the delivery of actionable information
This actionable information is uniquely presented: process models are used to facilitate estimation of what the process performance should be versus the actual measured performance. In other words, the performance change is specifically identified.
This allows for significant information gain and understanding. This is especially valuable in complex production processes, where process managers need to understand what has changed and why the performance change occurred.
ECS Dashboards specifically support management of continuous improvement by providing functionality for intervention action tracking and performance views of these actions. There is a maintained history of change and what actions were directed towards the change, the result of which is embedded best practice knowledge.