Читать книгу Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов - Страница 25

Manufacturing industry particularly is embracing these potential technologies. Many are already using supervised systems with connectivity, these production units are able to deliver almost 100% efficiency as they are able to pre-plan and also predict any possible problems before they actually happen and cause delays. All the equipment that is connected via IoT to one another continuously receive and transmit information and maintain coordination helping yield the maximum product from the available raw material in minimum time. The intelligent objects are capable to sense, behave and act in the smart environment to ease the task, reduce human intervention, and increase precision and efficiency. Let us consider an example to see how there technologies are applicable in the manufacturing industry. As in Figure 1.6, consider a car manufacturing company; here, a large number of jobs are conducted ranging from manufacturing various car parts to assembling them together to attain the final product. A key necessity throughout the process is that of accuracy and machines cater to this need which is further enhanced with the incorporation of IoT. Apart from applying IoT to operate the equipment of this industry, its scope can be extended further.

Sensors can be attached to the parts that when put together make the car functional. Followed by connecting all these entities onto a network and establish communication between. It is because of this concept that a user is able to control certain features of the vehicle through an app or with voice commands. Along with this, these sensors will send signals to alert the user about any defect that may arise in the vehicle during the course of its usage. The manufacturing company may also keep access to the cloud that stores the sensor’s output. They may foresee any part failure and warn the user for the need of service for the vehicle as when required. In case an accident occurs, the company will be able to trace the cause down. Also, say, if multiple complaints are received regarding products manufactured in a particular batch, other vehicles that house products from the same batch may be tracked down and taken care of. This will, in turn, improve the after sale service quality and ensure more convenience and enhanced safety to the customers [11]. Involving IoT also lets manufacturing companies better analyse the sale pattern of various commodities and the can manage production according in a manner such that the quantity produced is proportional to the demand, this will ensure that not huge amounts of surplus of a particular commodity might remain unused, whereas there may be shortage of another product. There we observe that these technologies serve varying purposes all for the betterment of this industry, to meet customer demands and requirements and also to maintain the company’s profit at a high level.

Figure 1.6 IoT and blockchain in manufacturing industry.