Internet of Things (IoT) is a network of devices, appliances, electronics, and other physical equipment to software, electronics, sensors, actuators, and internet connectivity to allow them to exchange data. Presently, as we look at cutting operation costs, which are as a result of maintenance costs, accidental breaking down of components during routine inspection, human error, and improving reliability, the modernization of our appliances tools must be met with strong links with information technology. Consumers and engineers can use streaming data from connected components to monitor performance, identify potential and impeding problems, and predict breakdown. It is also known as the industrial internet, and it only gets better with time as more gadgets in the network share their operational data. This level of integration has the potential to change the industry paradigms.
The inspection process employs a network of interconnected sensors at the preferred physical component. Those sensors capture and transmit data in real time via an internet link to a secure cloud-based analytics platform. From there, it is possible to analyze this data by comparing it to stored expert data, data from other sensors, and from other components, manufacturer data, operator data, and based on this give a rough health status of the said part. This method can be used to analyze and inspect the working condition of engine components, control surfaces, passenger comfort, skin tension while displaying the result on a smart engineers' mobile application, live as the machine operates. This could potentially reduce the frequency of inspections, improve customer satisfaction, increase safety, and eliminate tedious manual analysis of machine performance parameters.
In improving manufacturing efficiency, sensors are embedded in equipment and placed in various locations in the factory. Their role is to identify any hazards and bottlenecks that affect the manufacturing process. Addressing any problems reduces material wastes and time consumption. In the same process, sensors can perform predictive maintenance to correct production failures before they occur. The method involves advanced sensor analytics that predicts when manufacturing is likely to be interrupted. Predictive analytics improve productivity and efficiency by reducing costs and cutting downtime.
The use of IoT can greatly improve energy efficiency for individuals and organisations alike. The sensors in devices can help in the monitoring of light sources, temperature control, air conditioning, etc. by using intelligent algorithms to effect the control responses in real time. Large companies such as Google have achieved a 15% cost reduction in their datacentres using IoT. At home, smart sensors can save energy by turning off heating elements when they are not needed.
There are many ways that IoT can improve agricultural processes. Sensors could determine moisture in the soil and turn smart irrigation systems on and off to avoid wastage of water. Furthermore, incorporating weather data to other sensor information can direct watering and pest control in outdoor agriculture. When used indoors, IoT can regulate micro-climates to maximize food production.
There are many companies that are using IoT to improve inventory efficiency. Such systems make use of RFID or NFC tags to identify individual items in their storage facilities. By monitoring items in their location, it is easy to find them and thus reducing both time and costs. The same solution could be applied in a retail setting in determining stock availability. Top of Form
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