WHAT IS IOT PREDICTIVE MAINTENANCE? AND HOW IT WORKS?
When it comes to improving operational efficiency at your factory or business, predictive maintenance is a great icebreaker. Predictive maintenance is becoming more and more common in businesses as a means of lowering equipment downtime in the highly competitive era in which we now live. Let’s examine how IoT-based predictive maintenance is assisting various businesses.
Businesses are using Internet of Things (IoT)-based technology to build cost-effective, simply deployable bundles of predictive maintenance solutions. According to a survey by ARC, IoT applications for predictive maintenance have become the most widespread across all industries.
We’ll concentrate on the changing trends in IoT-based preventive maintenance in this post.
REACTIVE MAINTENANCE AND PREVENTIVE MAINTENANCE ARE THE PREDECESSORS
For the maintenance of their machinery and equipment, manufacturers nowadays mostly use the Run-to-Failure and Preventive Maintenance models.
In a reactive maintenance paradigm, equipment is only maintained or replaced when a failure renders it worthless. A reactive paradigm is very inefficient and results in less available machine time and more downtime. Because of this, the reactive approach works well for operational processes involving less-critical assets whose absence has little effect on output.
On the other hand, under a preventative maintenance model, maintenance crews perform machine repair and replacement tasks in accordance with a predetermined maintenance plan.
These schedules are often created in compliance with the terms of use specified by the manufacturer. Although preventative maintenance is more efficient than reactive maintenance in reducing machine downtime, its maintenance plans sometimes don’t match the actual operating circumstances. This can make it harder for the equipment to operate and cost more to maintain.
These two methods don’t evaluate or forecast how well machines will really function.
IOT PREDICTIVE MAINTENANCE
Predictive maintenance is founded on the notion of being aware of and comprehending the machine’s operational state. A greater understanding of the machine’s operational state can result in more reliable machine maintenance. Numerous characteristics, including machine temperature, vibration, and others, may be utilised to determine and comprehend the health of a machine.
Sensors can be mounted at a number of locations on the machine to enable continuous monitoring of these characteristics. The output of these sensors may be analysed using the right software, which can aid in assessing machine health. Despite being quite successful, this maintenance technique is rather pricey.
IOT AND OTHER TECHNOLOGY TRENDS: THE PATH TO MAINTENANCE PREDICTIVE STREAMING
Predictive maintenance is becoming more popular as a result of the Internet of Things (IoT). Continuous monitoring of machines and its components is now possible thanks to IoT.
IoT predictive maintenance has become more accessible to businesses because of the deployment of wireless sensors that can communicate with one another. The following are just a few of the several technologies driving this revolution in IoT-based predictive maintenance:
IOT USE OF WIRELESS TECHNOLOGIES
The speed and quality of wireless technologies are improving every day as the IT revolution roars. For example, consider 4G internet speeds or Wi-Fi technologies. Wireless sensors can readily communicate and receive information about the health of a machine thanks to this great connection.
Additionally, Low Power Wide Area Network (LPWAN) technologies, including LoRaWAN, Zigbee, BLE Mesh, etc., are employed when a lot of sensor devices communicate data to the central Unit. This has not only made machine health monitoring automated, but also more precise and less expensive.
SENSORS USED IN INDUSTRIES AT LOW COST
The smartphone business has expanded greatly as a result of smartphones’ quick global adoption. On the other hand, the price of sensors has been under pressure due to the expansion of the smartphone market.
These compact smart sensors are just what the IoT-based predictive maintenance technology needs. In the Internet of Things, sensors like temperature and humidity sensors are often employed.
IOT uses both edge and cloud computing.
Thanks to developments in cloud computing, data transfers, storage, etc. are now both cheap and secure. IoT Companies are increasingly using cloud computing platforms like AWS for their IoT and associated computing demands.
This has created an array of new opportunities for IoT-based predictive maintenance. Edge computing is becoming a key component of IoT and is commonly employed in IoT Edge gateways.
Edge computing refers to the process of executing workloads on edge devices, whereas cloud computing refers to the process of running workloads inside of the cloud.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) FOR PREDICTIVE MAINTENANCE
In order to continually monitor and comprehend the health of a machine, evaluate sensor data, and perform preventive maintenance, analysts can use artificial intelligence as a valuable tool. A subset of artificial intelligence known as machine learning is capable of self-learning and knowledge acquisition via algorithms. IoT and AI and ML combined have enormous promise.
IOT-BASED PREDICTIVE MAINTENANCE IN THE FUTURE
Our lives are made more convenient and enjoyable by the products that factories produce. Everything is manufactured in factories, including the air conditioners that keep our houses cool and the vehicles we drive.
IoT-based predictive maintenance has the potential to further improve the productivity of our industrial processes, resulting in improved supply chain and inventory management, more operational efficiency, and reduced costs.
Therefore, there is no longer a need for companies to put off implementing the concept of IoT-based predictive maintenance.
PsiBorg is an IoT solution provider, and we have created a number of solutions, including ones for predictive maintenance, for diverse sectors.
This article was originally published here: https://psiborg.in/predictive-maintenance-using-iot/