Abstract visualisation of nodes with connecting lines
Abstract visualisation of nodes with connecting lines

AI and the CODA Platform

15 March 2023

Artificial intelligence is evolving at pace, with some insiders predicting that 2023 will be a landmark year for AI. As the possibilities of AI continue to grow and evolve, more industries are looking at ways to harness this technology. At CODA, we are delighted to be leading the way in the energy and operational management sector with our AI powered software platform.

CODA’s AI feature leverages machine learning to offer users intelligent analysis of the data gathered from their assets and buildings across entire estates. This innovative application of artificial intelligence provides a future-proofed management tool that offers CODA customers unrivalled insights into their operations and empowers them to take complete control of their energy usage.

Improved operational efficiency

Whether applied to a single HVAC system or multiple assets across an estate, the AI in CODA identifies anomalies in asset operation and performance enabling building owners and operator to take action immediately to ensure that every device within a specified site is operating at its optimum efficiency. CODA’s AI feature interprets and learns from huge volumes of data in real-time and collates it in a single centralised system. This intelligent analysis enables the platform to pinpoint any assets that are functioning outside the desired performance criteria. These inefficiencies are then used to generate actionable insights that enable property management teams to quickly resolve any operational issues.

As well as highlighting assets that are not performing at their optimum, CODA’s AI
can identify energy usage patterns and highlight opportunities to further improve the day-to-day running of the site. These tailored insights allow management teams to make strategic operational changes that can have a transformative effect on the overall efficiency of the site and its assets.

Limit asset downtime

By analysing usage data, CODA’s AI can immediately identify when an asset is not performing as desired and alert users to the potential problem. The insights provided by the CODA platform offer specific details relating to efficiency anomalies which can help engineers to diagnose and rectify faults quickly. This means that action can be taken before the issue impacts the end user or causes a more significant, and therefore expensive, failure within the site. This immediate identification of asset control degradation can also mitigate any health and safety issues that may be caused by failures in essential equipment such as lighting or HVAC systems.

In addition to identifying assets that are already in need of maintenance or replacement, the AI in CODA can also find pattens in the usage data, CODA can deliver accurate predictive insights around issues the asset is likely to encounter and the overall lifespan of specific equipment. This enables property management teams to make proactive repairs or replacements which may eliminate the need for downtime and extend the lifespan of the device.

Meet sustainability targets

Emissions reduction targets and ESG are more important than ever before, and CODA’s AI feature can support businesses to make meaningful operational changes that have a tangible impact on greenhouse gas emissions. By uncovering energy usage trends, CODA can suggest operational changes that would reduce a site’s usage and contribute to the global effort to address the climate crisis.

For example, by analysing data from multiple sources, CODA can highlight instances in which heating systems are in operation while windows are open or pinpoint times when lighting remains on outside working hours. By delivering these insights, it is possible for property management teams to make changes that reduce energy wastage and lower the environmental impact of the site. These may include encouraging behavioural changes by building users, installing central controls for HVAC systems or automating lighting.

The data provided by the platform may also be used to identify opportunities for renewable or onsite energy generation sources to be used within a site. This granular data can also form an essential part of the business’s ESG strategy. As well as benchmarking a site’s energy usage, CODA’s insights can be used to evidence the business’s emissions reduction as energy-saving strategies are implemented.

Lower running costs

CODA’s AI functionality looks at all the data parameters from the devices it is monitoring and controlling in order to create actionable insights that support energy management teams to reduce wastage. By detecting patterns in energy consumption, CODA’s latest release can identify energy-saving opportunities that will drive down the cost of running a building or site. The insights may also be able to ensure devices are running at off-peak times when energy costs are lower which further helps to manage the overall spend.

CODA can also help to reduce the costs associated with maintaining a property and its assets by enabling management teams to undertake proactive repairs on assets. By implementing a proactive maintenance strategy, it is possible to reduce the risk of catastrophic failures which can be extremely costly to the business and result in extensive downtime for the building.

For further information please contact the team on email: info@codacloud.io