1. Define goals
The main objective of deploying the industrial Internet of things is to reduce costs and improve efficiency (related reading: how to improve production efficiency during tool use), or to achieve remote monitoring of systems and processes. After the target is determined, we can analyze the components according to the existing equipment and data.
This process is very important. In most cases, it is impossible to replace all the old equipment, and the cost is too high. Therefore, in practice, machining enterprises tend to integrate communication equipment and protocol conversion software to connect all systems, so as to realize effective use of existing equipment.
2. Device connection
The Internet of things is a "network", so it is necessary to realize the connection. Therefore, enterprises must connect the machines and sensors of different manufacturers. For old equipment without communication capability, they can integrate sensors for processing and strategically re arrange a sensor network to meet the requirements of data collection.
After the equipment is connected, the communication between the equipment is realized, and how to push the data is also considered. The real power source of industrial Internet of things and cloud computing is data centralization and integration of applications to extract and process information. Many industrial IOT platforms now provide databases with various capabilities such as data storage time processing, equipment supply and reporting. Although they are usually configured for specific applications, many of them are built for simple and rapid implementation.
3. Remove obstacles
In the industrial Internet of things, privacy and security are important obstacles to industrial Internet of things investment. When collecting and transmitting sensitive data, it must be protected. Therefore, the industrial Internet of things should take special security measures to ensure that the system can safely collect, monitor, process and store data. However, to ensure security, it is necessary to balance the costs related to time and resources with data protection.
