Considering its ubiquity in the media, you are likely to be familiar with the term Internet of Things (IoT). From the ongoing shift to industry 4.0 to the emergence of smart cities, the way in which information is being collected and interpreted is transforming service performance and changing the way customers are interacting with their chosen service providers.
The continued development of hardware, and, more importantly, the growing number of success stories involving IoT, places the technology centre stage for organisations when considering how to improve operational maintenance functions.
In many early use cases, the manufacturing industry has been the guinea pig, using IoT sensors to improve maintenance works. Sensors fed with data generate AI that establishes patterns and identifies potential issues. This pushes maintenance capabilities into the realms of a predictive territory, where parts approaching failure can be replaced or repaired before any downtime has occurred or irreparable damage has been inflicted.
The application of IoT sensors is indeed continuing to benefit more people and uncover opportunities within new industries. For example, a predictive approach can also be applied to housing maintenance, from property damage control to combating fraud. This is likely to sit very well with local authorities and housing associations, who, from January to March in 2018 alone, started a combined total of 5,390 new builds across the UK.
Significant improvements have been made to increase the overall build quality of houses in the last few years. According to a report by the National Audit Office, following a definition established in 2001 that sets out minimum standards homes are required to meet, “An estimated 1.6 million social rented homes failed to meet these requirements. By April 2013, there were approximately 1.1 million fewer non-decent social homes…” This is positive news, although there is still a lot that can be done, especially in terms of continued maintenance, to help local authorities and housing associations avoid costly, inefficient maintenance jobs.
A practical use of IoT for housing maintenance
Such is the development of IoT hardware that sensors can now be used across a seemingly endless range of equipment in various scenarios. It is however some of the more obvious applications that can bring the most significant efficiency improvement opportunities. For example, temperature levels can be monitored in a house and the data collected can be used to identify patterns leading to such conditions that encourage the growth of mould – an issue rampant across rented homes in the UK. The appropriate actions can then be taken well within the matter of weeks it takes for mould to start growing, before the issue causes any lasting damage.
The same principles can be applied to detecting water damage, an issue which sees UK residents collectively spending around £707 million each year to repair – for rented properties, this of course falls under the responsibility of the landlord. What can start as a small leak can soon turn into severe structural damage, if ignored. Flood ropes are ideal sensors in this scenario, which, due to the sensitivity and potential area covered, can identify water leaks very early on, again reducing the likelihood of permanent, costly damage.
It is among these issues where Oneserve’s true potential stands out. Offering a comprehensive field service solution, capable of collecting and presenting the data you need in a single, highly-intuitive system, Oneserve can handle every stage of identifying and remedying issues under your maintenance processes.
As well as collecting and helping you to interpret the data you’re processing on a daily basis, with Oneserve you can schedule appointments immediately to address any issues detected. The system can also be used to monitor the usage of parts, provide and store site surveys (as well as a full audit trail relating to the site in question, detailing asset history etc). Oneserve can also improve your predictive maintenance capabilities by intelligently interpreting the artificial intelligence controlling your sensors so that you can implement clear actions in response to any issues.
No two needs are the same, so to discover how you can best process the data collected across your organisation, whether fuelled by IoT initiatives or others, get in touch with our team today and request a free demo.