Industrial networks and collaboration

The industrial Internet, as a key technology supported by the state, has received a lot of funding and policy support, and the national level has also set up the Industrial Internet Research Institute, and the China Industrial Internet Alliance led by the China Academy of Information and Communications Technology.

UAD149 In the industrial Internet architecture organized by the Information and Communication Institute, the industrial Internet is divided into industrial network infrastructure and industrial network new formats. For the digital factory network construction of small and medium-sized enterprises, industrial network infrastructure is an important cornerstone, and how to build the highway of internal data in the factory is the core goal of the digital factory.

The core requirements of factory-level industrial networks are reliability, low latency and high bandwidth, among which reliability is the most important. Some enterprises do not consider the industrial level requirements of network equipment in the industrial environment when building networks, blindly use commercial network equipment to build networks, resulting in major problems such as data packet loss, data congestion and network breakdown.

Another problem is that the data of the UAD149 underlying manufacturing equipment is incompatible, because there are many reasons for purchasing manufacturers, the equipment has multiple network protocols in operation, how to do a good job of data conversion between protocols, how to ensure synchronization, which is a problem to be considered in the future construction, the establishment of a data center to deal with a variety of protocols, is a solution at present.

Industrial big data is a problem that enterprises need to face after the construction of industrial networks and data collection, and a large amount of data is generated in manufacturing. When we face these massive data, whether we should store it after collection or invest in collection and analysis now is a problem that enterprise managers need to make decisions, which has been discussed in digital planning. This is also a key link in the planning. Here only talk about in the digital transformation, industrial big data analysis can bring to the enterprise.

Taking wind power generation equipment as an example, in 2006 and 2007, the engineer maintenance was to go to the customer site with handheld equipment, climb to the high wind turbine, collect these data, and then return to the control center and do some analysis of these data, in order to find the cause and find the problem.

Now with the continuous development of mobile communication technology, we can get the operating parameters of this device thousands of miles away, and this parameter is real-time. After receiving these real-time data, we can understand some of the operation of the equipment through these parameters, and we can also judge the operation of the equipment through these parameters and some historical data.

So with this data, we can even make a judgment about what UAD149 will happen to this device in the future. Previously, offline data could only judge a single device, but now our real-time data can not only see a single device, I can even see a lot of devices. With these operating data, we can even match these operating data with the design parameters of the equipment to open up every node of the whole life cycle of the equipment from the mechanism design to the operating condition.

Then it not only has a large range of understanding of the operation of the equipment, but even we can feed it back to the front-end equipment design stage according to the problems or diagnostic results, and do the optimization design and optimization reform of the equipment. We can even classify the characteristics of these devices or the types of failures, and then use a more efficient big data way to manage the equipment remotely.

Remote management can make a simple prediction of the failure of the equipment, and in the future, we can use the big data model of the fan equipment to make a more rigorous and accurate judgment on the operation and maintenance of the equipment.

From the offline monitoring of a single device to the management of the whole life cycle of a single device, to the trend analysis and remote operation and maintenance of the same type of equipment, this is the process of the development and application of industrial big data. The industrial big data of the digital factory of the future is also such a development process.

When the digital factory is perfected with the goal of facilitating the generation and flow of data, and its analysis and utilization. Products will reach customers through warehousing and logistics.

In the digital age, how do we portrait our customers, how do we define our customers, how do we meet the needs of customers and ensure the efficiency and profit of the enterprise? This is also a common problem faced by enterprises in transformation.