In traditional service contracts, equipment ‘health’ and performance are verified and fine-tuned during pre-scheduled, periodic maintenance check-ups. This is known as a preventive maintenance model.  Manufacturers prescribe a fixed maintenance schedule, and, assuming the procedures are followed, the customer can expect the HVAC performance to meet the specifications.

Preventive Maintenance and Its Downsides

The problem with this model is that not all environments are created equal. What works for a relatively clean residential building may not necessarily be suitable for a dusty industrial setting. A regimen designed to address the average use case can result in excessive maintenance on equipment that doesn't operate strenuously, and vice versa: insufficient maintenance of equipment in more challenging situations may not be enough to ensure optimal operation.

Introducing: Predictive Maintenance via Continuous Monitoring – A Newer, More Efficient Model

However, digitalization and remote connectivity provide a new model of predictive maintenance, which involves continuous monitoring of equipment. This allows for the prompt repair or diagnosis of problems before they escalate. In many cases, predictive maintenance can help prevent downtime and can significantly reduce the cost of repairs.

Predictive Maintenance: An Insurance Layer Between Visits

While predictive maintenance does not replace scheduled preventive maintenance activities, it provides another layer of protection. It also allows to space maintenance visits and improved scheduling based on the actual status of equipment, making visits more effective by ensuring technicians arrive equipped with the right tools, parts, and skill sets.

Another benefit is continuous monitoring, which enables automatic tracking of performance trends and real-time alerts when deviations, also known as system anomalies, occur. When technicians are notified of errors or faults, they can then remotely access all the technical parameters required to troubleshoot the system.

Let’s take a basic, automatic routine that monitors the rate at which the room temperature reaches a given set point as an example. 

In most cases, if the setpoint is not reached within a reasonable period, it may indicate a problem with the system. Various reasons can cause the issue, including refrigerant leaks, clogged filters, malfunctioning thermistors, and more. Identifying the actual cause requires thorough analysis. While this can be partially achieved using remote service tools, some instances may require a physical check. 

However, as long as the problem remains unresolved, tenants’ comfort level is affected, and the equipment is under strain to compensate. This often leads to a decrease in equipment lifespan, an increase in repair costs, and a spike in energy consumption.  From this example, the potential benefits of continuous monitoring are clear.

Choosing a Reliable HVAC Predictive Maintenance Solution

When selecting an HVAC system, key considerations are often energy consumption, durability, and longevity. By bundling HVAC systems with smart, remote management and maintenance solutions that facilitate predictive maintenance, HVAC installers can ensure the end customer achieves these objectives in the most cost-effective manner.

Contact us to learn more about CoolAutomation’s cloud-based solutions.

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