Internet of Things Intersection

Where Predictive Maintenance and Exponential Benefits Meet

When machines and facilities connect to condition-monitoring sensors, you can stay ahead of the uptime threat curve. You get the data to predict, plan, and schedule maintenance and keep downtime from disrupting your business.

In his Fierce Electronics article, Bryan Christiansen—founder and CEO of Limble CMMS—shares how predictive maintenance offers more proactive management best practices with immediate and long-term benefits.

Christiansen’s article reminds us of Monnit Founder and CEO Brad Walters’ Law of the Internet of Things, highlighting the exponential benefits of predictive maintenance. Take a few minutes to read Christiansen’s article with its intro and links below, then consider how you can put Walters’ transformative Law of the IoT into effect in your operations.

How Predictive Maintenance Helps Forecast When A Machine Will Fail

When a machine experiences failure, reactive maintenance has to be performed—which results in unscheduled downtime and production delays. The best antidote to prevent such inconveniences is predictive maintenance.

Predictive maintenance is the proactive technique of using extensive historical and real-time operational data to forecast when a machine will fail. It makes use of condition-monitoring tools to detect deterioration in machine operations and performance. Also, it works as an extension of condition monitoring and uses sensor data to measure the parameters of machines to determine their health and safety.

Condition-monitoring tools combined with artificial intelligence and machine learning techniques forecast expected machine failure. This information can be used to proactively perform maintenance activities without disrupting normal machine operations. At the same time, predictive maintenance helps to prevent unexpected machine failure and excessive maintenance.

Predictive maintenance helps in:

• Reducing maintenance costs
• Maintenance scheduling and planning
• Improving reliability

IoT sensors connected to machines collect operational data and store them in a database. Predictive maintenance employs different systems and methodologies to predict machine failure with the help of the data repository. The following topics cover some of the prominent techniques used in predictive maintenance as well as their characteristics.

Vertical Market Focus

Grow Better in Smart Facilities and Environments

When you connect indoor growing climate or environmental conditions and facility systems to the Internet with smart sensors and controls, you’ll get real-time data ripe with benefits. Whatever you plan to grow indoors, a smart greenhouse or grow house can help you create optimal growing environments, prevent problems, conserve water and energy, boost efficiency, and increase yield.

No matter what you call it—Agritech, AgTech, Smart Farming, Smart Growing, Smart Agriculture, Connected Greenhouses, or Smart Grow Houses—the long list of versatile IoT sensors make your plants and growing conditions talk so you can transform operations.

You can measure essential things like temperature, humidity, photosynthetically active radiation (PAR), soil moisture, water leaks, power consumption, HVAC system health, and airflow.

Learn how growers of any crop can make their growing operations thrive using real-time data and alerts from fast-install IoT sensors.

Get our greenhouse use case.

IoT Insights

How the IoT Can Boost Your Restaurant’s Bottom Line

Reducing financial risk is one of the most significant advantages of implementing Internet of Things (IoT) technologies in the restaurant industry. Here are some key questions restaurant owners can consider when seeking to increase their profits using the IoT.

• How can you prevent food spoilage and loss from farm to storage and preparation to fork?
• What are best practices for adding the IoT to meet food safety regulations?
• Are there ways to streamline and automate restaurant management whether I’m onsite or on the go?
• How can I optimize energy consumption and boost equipment life?

Read the beginning of this article that presents the approach and ROI of integrating IoT technologies into your food services operations. Or, click a link to the full article on Modern Restaurant Management.

Maximizing Restaurant Profits by Routing Out Hidden Financial Risks: A Technology-Based Approach

Anyone who has spilled water on a laptop understands the relief of discovering that the machine works when it’s dry again. But anxiety about the incident still lingers. After all, hidden damage could manifest itself in the days or weeks ahead.

In a sense, this is the place the restaurant industry is in right now. Restaurateurs are seeing the light at the end of the COVID-19 tunnel due to a variety of factors. For example, labor shortages, one of their biggest obstacles to growth, are easing, according to Labor Department numbers. Yet, threats to limited-service and full-service restaurants are still lurking behind the scenes.

Full-service restaurants, for instance, are particularly subject to the effects of inflation—as consumers appear to shift some spending to limited-service establishments and QSRs to save food costs. This migration could be a goldmine for casual/fast food brands if only they had the people to support them. Unfortunately, it turns out that restaurants’ staffing numbers are not as rosy as they seem; instead, they’re favoring the full-service segment, according to Black Box Intelligence. Meanwhile, the industry as a whole is dealing with supply chain shortages and a potential recession.

How can individual brands push forward despite these potential threats?

Continue reading the article.

Free IoT Consultations

Webinars

Upcoming Events

All trademarks are property of respective owners. Copyright © Monnit Corp. All rights reserved.
Monnit Corporation | 801-561-5555 | monnit.com