Beginning from a consumer viewpoint, consumers are always aware and excited about the fact that revolution in technological advancement is literally delivering almost all their consumables into their fingertips. By this, consumers relish in the comfort of accessing information, various shopping options, communication, and other needs right from a few taps on their mobile devices.
One thing consumers barely take note of or consider is how the revolution in technological advancement is changing the way in which the products and services they enjoy are being made in various manufacturing companies.
Besides the positive changes which the Industrial Internet of Things (IIoT) has brought in changing our daily lives, we have witnessed enormous transformations in the way in which businesses are carried out today. Through the use of wireless connectivity, a lot of organizations now have the ability to develop new ways to handle consumers’ needs using various technologies that enhances their working prowess.
Similarly, equipment and machines in manufacturing companies can now be interconnected through a wireless connection and they are all controlled using a few buttons on a control dashboard irrespective of the positions of the individual equipment in the factory. This, you will agree that it is able to enhance productivity as well as giving a real-time analysis of the workability of individual machines within a factory.
To most manufacturing plants, an equipment or machine must breakdown completely before the fault is traced for the needed fixes. Unfortunately, this downtime in machine repairs is usually detrimental to productivity since production has to be halted in order for the fault in one or more machines to be fixed.
In this current dispensation of IoT in manufacturing, there is no need to wait until a machine is down before the fault is identified and fixed. There are better solutions such as those provided by Neuron Soundware where an AI diagnostic technology is used for the early detection of broken machines using sound. This is done even before they escalate to big issues that may hinder production in your manufacturing industries.
One unique quality of Neuron Soundware engineers is the fact that they can automate the prediction of broken machines using their digital brain that functions similar to the auditory cortex of the human brain. With this pre-process input of your machine sound into the neural network, the sound recording device on the network can easily learn and identify the important auditory features of your equipment within a short time and with a high level of confidence to detect when there is a deviation.
Generally, manufacturing and production firms are seen as the most widely impacted industries by IoT. This, without a doubt, has led to a drastic increase in productivity as well as the overall output of machines and other industrial equipment used in these organizations.
Such enormous benefits in which manufacturing firms are enjoying the use of IoT has led to some B2B companies also keying into this technological advancement. And this is visible as sensors that are mounted on industrial machinery for the purpose of gathering, storing and analyzing data wirelessly from their machines for various purposes.
As a matter of fact, the introduction of various industrial IoT projects has helped to change the manner in which different manufacturing processes such as product production and delivery or the collection of data from areas where human reach is limited are carried out. This, however, has led to a major step in the overall efficiency in the production process as well as a major improvement in the quality of products.
There is no doubt that the inception of IoT into the manufacturing landscape has come with so much hope for the future of manufacturing industries. Among the various ways in which industrial IoT projects are helping the manufacturing industries, here are the two striking aspects;
The interconnection of machines, as well as the installation of sensors on industrial machines, automatically enhances various operations within an industry. For instance, having sensors to major parts of a machine will serve as a signal to automatically notify when there is an issue around the machine.
Similarly, through the installation of some high-tech in-built sensors, machine operators can easily predict future faults or some unsafe operating conditions on a machine.
IoT-inspired sensors function by monitoring various parameters such as sound frequencies and the machine temperature of a machine and relating the same readings to what the optimum conditions are meant to be.
In most cases, such parameter monitoring by sensors is also referred to as condition monitoring, and are most preferably carried out by automated systems. This is because employing someone to monitor all these things simultaneously will possibly be a cost more money, human resources and time.
By having sensors to monitor all these parameters on machines, manufacturing industries can easily tell when to pull a machine out for servicing before such machines fail completely and thus running their manufacturing process. In the same vein, sensors on machines also help in predicting if a machine is on the verge of exploding or undergoing some dangerous working conditions.
Most industrial IoT projects are programmed and interconnected to provide machine users analytical statistics of information about different machines on a single dashboard. With such information collected and shown, machine users easily spot which machine processes is always hindering the smooth running of production in their firm.
Similarly, most of the machines used in some manufacturing industries are so far apart that they can’t be monitored simultaneously. But with the use of some IoT in the manufacturing process, information about various machines (irrespective of their locations) can be read off from a single dashboard, and this will definitely give an insight on what to do to overcome undue production downtime.
It is definitely not breaking news that IIoT is gradually enhancing and having a great beneficial impact on the level of productivity in manufacturing industries. Such beneficial impacts of IIoT are visible in the use of sensors and even sounds to detect and diagnose anomaly around industrial machines.
A lot of manufacturing industries still suffer a series of production downtime due to lack of the right information on what can be an easy route to avoid production stoppage. And as a way of helping you avoid that, partnering with reliable IoT engineers such as Neuron Soundwaves can help you to monitor the performance of your industrial machines in real-time before something goes out of hand. Sure, you wouldn’t want to see that happen.