If you knew that one of the one circulation pumps in the basement, or the heat recovery unit in the ventilation system on the roof would fail in two days — would you have planned accordingly?
Predictive error detection is, at its core, about being one step ahead of the technical errors: By listening to the machines, you can detect signs of upcoming problems, and you can take proactive, planned and cost-effective measures.
Read more about how Soundsensing uses sound and vibration analysis to detect errors in the technical infrastructure before they happen: https://www.soundsensing.no/blog/early-detection
The positive effects and benefits of predictive anomaly detection can be grouped into three distinct verticals:
Tenant satisfaction is an important KPI for most property companies. And for good reason.
Today, errors in the technical infrastructure in buildings happen far too often. In addition, it is more often than not the tenants themselves who first discover and report about the technical faults and deficiencies.
By catching the errors in advance, the operating service can not only directly reduce the amount of errors that occur, but also take ownership and control over the communication process with the tenants.
It is the operating service that should notify the tenant of things that have already been discovered and are in the process of being rectified. Not the tenant who must notify the operating service of unknown faults. It’s the former that leads to improved tenant satisfaction.
By implementing predictive anomaly detection in the technical infrastructure, direct cost reductions are achieved in several ways:
i. Small errors grow into larger ones: By detecting the early warning signs of upcoming errors you can act early and make preventive measures. Errors that would otherwise have grown large and costly can be dealt with early and cost-effectively. What has become a major replacement can often be avoided with an opportune dash of extra lubrication, adjustment or replacement of wearing parts.
ii. Time consumption: Manual inspection rounds are time-consuming and inefficient. Plan better and spend time fixing errors rather than looking for them.
iii. Planned purchases: Order the right part at the right time. Avoid express orders and rushed service at inflated prices.
iv. Energy savings: Reduced response time to errors such as errors in the automation of a ventilation system or a failure of a heat recovery unit saves energy costs directly.
By implementing predictive anomaly detection, you reduce the overall risk factor and the element of surprise in your everyday work.
There has been too much uncertainty related to the technical management of a commercial building. A modern Control System can give indications of how things are right now, but no one knows exactly what tomorrow will bring.
No property companies, building portfolios or operating organisations are the same. Get in touch for a chat about how predictive anomaly detection can help your company towards a more prediktive and data-driven work process.