Predictive maintenance, as the words suggest, invokes hope in many businesses looking for ways to manage their operations using data. It is a maintenance strategy that uses data and analytics to predict when equipment is likely to fail. These systems are becoming increasingly popular as businesses seek to improve their operational efficiency. With the right strategy, businesses only have to schedule maintenance ahead of time, which can help to prevent downtime and save money.
Want a solution for rising maintenance expenses?
Maintaining a commercial space is an activity that consumes a large 60% share of total business expenditure. Things that seem harmless such as a malfunctioning HVAC or cold storage system, an unattended light and water faucet can all drain your budget.
What if you had a system that alerted you about the possible failure of the elevator or HVAC? You could've taken steps in advance to prevent mishaps and reduce energy consumption, downtime, and expenses.
What is predictive maintenance?
Maintainance with early prediction enables users to create conditions for the maintenance of the mapped assets using the system comprising sensors, a network, and a building management system. It is a proactive approach that helps businesses predict asset failures and schedule maintenance before things get out of control. In case you are looking for a smart way to reduce downtime, increase asset life, and reduce overhead, consider such maintenance management systems.
How does it work?
Predictive maintenance uses data collected from the assets, data analytics and modeling, and machine learning to estimate the possible failure time of an asset. It is a robust system comprising a BMS, a network of sensors, and a digital network connected to the assets mapped within a property. It collects data from the assets using sensors based on the conditions created for each of them.
The data collected from the assets based on the operations requirements such as temperature, proximity, and vibration are analyzed and conditions are generated for possible asset failures. This makes sure you are always in control over the asset performance and ready to take corrective measures even before things go seriously wrong.
Predictive maintenance works on the following lines:
Maintenance Predictive Analysis Maintenance predictive analysis or equipment failure prediction is one of the features that uses data collected from the building assets and analytics to estimate the probable failure time. It enables the CRE operators to deliver valuable data to the tenants and enhance their experience.
Condition-based Maintenance Condition-based maintenance involves sensors monitoring the condition of assets and collecting asset performance data in real-time. This technique is used for the real-time maintenance of assets, asset longevity, and reduction of downtime and overheads.
Asset Performance Forecasting Asset performance forecasting uses data and analytics to predict asset performance over time. It is used in predictive maintenance to improve the efficiency and profitability of CRE operations.
Predictive Maintenance: 6 Best Reasons Why You Need It
With the decision to use predictive maintenance for your business comes several benefits. A few of these might include:
1. Workplace and cost efficiency
These maintenance systems increase the efficiency of your assets by reducing their downtime. As per research, it is found that a building managed using BMS shows an increase in productivity of up to 25% compared to one managed with a traditional system.
2. Eliminate faulty issue detections and overheads
These strategies functions based on the real-time asset data collected by your BMS. This data-dependent decision-making eliminates chances of guesswork and brings precision to troubleshooting issues, thus considerably reducing maintenance costs by up to 30%.
3. Extend the lifespan of building assets
Equipment failure prediction makes your assets last longer by helping you address issues even before they arise or get out of control. It makes sure you avoid unwanted maintenance exercises and fix asset issues before they break beyond your control.
4. Shrink asset downtime
These maintenance strategies eliminates the chances of surprise asset breakdowns by using data analytics and modeling. This enables it to keep a tab on the status of asset functionality and predict downtime in advance so that assets have increased uptime.
5. Enhance safety of devices
Ever felt your conference room smelling moldy or the walls are giving you shocks? Maintaining building assets is a critical aspect of a building, as an inefficiently managed building can turn hazardous in no time. Asset performance forecasting makes sure your asset issues are tracked in advance and performed within safety standards.
6. Save on energy bills
An HVAC running on a defective filter not only affects the indoor environment but also drains the energy. The energy efficiency of your building is dependent on the proper maintenance of the assets and their optimum performance.
Predictive maintenance makes it easy for you to locate where things are malfunctioning and replace defective parts, thus helping you save energy. It can be a complex undertaking, but it is a valuable investment for businesses of all sizes. By getting these maintenance systems to manage your building, you can reduce asset downtime, improve equipment reliability, and save overhead expenses.
