With the rapid development of technology, the Industrial Internet of Things (IIoT) is becoming more and more important in the manufacturing industry. In manufacturing, the Industrial Internet of Things (IIoT) is important for a number of reasons, not the least of which is IoT analytics. By combining IIoT systems with artificial intelligence, this process can even be automated. In this article, we'll focus on 6 trends so you can see exactly how these technologies can benefit you.
Trend 1: Connected technology
In 2024, the manufacturing industry will become more reliant on IoT technology to enable seamless connections between devices and devices, and between devices and people. One of the biggest bottlenecks in IoT technology in manufacturing is bandwidth. How much data can all these devices in the network exchange at once? The more data that can be transferred at the same time, the faster and more efficient these systems will be in alternative setups. Network speed is critical to the success of real-time applications and edge computing. However, if you don't need to transfer data at the fastest speeds, you may not need extremely high bandwidth. Assess the needs of your manufacturing company in order to choose the best option.
Trend 2: Sexual maintenance and analysis
With the continuous development of big data and artificial intelligence technology, the maintenance and analysis of the industry has become an important trend in the manufacturing industry. Leveraging AI-powered maintenance to collect data across a network of machines through IIoT sensors, enabling businesses to prioritize equipment maintenance needs, determine which machines need to be pre-scheduled for maintenance, and when. This not only reduces maintenance costs, but also improves the efficiency of equipment operation.
Trend 3: Automated Quality Assurance
As consumers' demands for product quality increase, the manufacturing industry must adopt stricter quality control measures. Through automation technology, with the help of the Industrial Internet of Things network, quality assurance monitoring can be done remotely and automatically, and enterprises are able to monitor product quality in real time, which can greatly improve the productivity and efficiency of manufacturing enterprises. This will greatly improve product quality, reduce return rates, and improve consumer satisfaction. Real-time** connectivity via IIoT devices also supports AI work, such as automated visual inspection. In this way, AI can detect defects and remove them from the assembly line before they are shipped away.
Trend 4: Edge computing
Edge computing is one of the most interesting trends in the field of IIoT technology. Many industries and businesses have relied on servers to do the data processing on their behalf, and while this reduces the amount of processing on local devices such as mobile phones or PCs, it is costly in terms of time and bandwidth. The goal of edge computing is the opposite, which is to put the processing work as much as possible"Edge"。In manufacturing, several devices in a factory's local edge network can process data without having to send it elsewhere for processing. Not only is this faster and more efficient, but it's also inherently safer. Since the data never leaves the factory, there is no risk of being intercepted or recovered by a third party.
Trend 5: Location tracking
Location tracking technology has a variety of applications in the manufacturing industry. Real-time location systems (RTLS) are based on wireless technologies such as Wi-Fi, BLE beacons, UWB, and RFID. They can help identify where a product is on the factory floor, allowing you to monitor how the product is progressing from start to finish in the production process. In addition, location data can also be used to analyze bottlenecks in the production process and provide strong data support for enterprises to improve their production processes.
Trend 6: Energy optimization
Energy optimization can be achieved in a variety of ways, including keeping an eye on temperature control systems, industrial machines, and more. IIoT technology supports energy optimization. This not only helps companies reduce production costs, but also meets the requirements of sustainable development.
In conclusion, in 2024, the Industrial Internet of Things will play an increasingly important role in the manufacturing industry. Enterprises should keep up with these trends and actively embrace new technologies to improve production efficiency, reduce costs, improve product quality, optimize resource allocation, etc., so as to remain invincible in the fierce market competition.