When you think of the Industrial Internet, what do you think of? Some people may be thinking about how traditional HE Tuber companies can break in and achieve a virtuous cycle. In this article, the author combines the case of parts manufacturers entering the industrial Internet to describe the reasons behind their successful breakthrough. Let’s take a look at the sharing of this article.

When talking about the Industrial Internet, the first thing that comes to mind is that large equipment from traditional enterprises are connected to the network, and data is connected and large-screen billboards are used for intelligent monitoring. It is like traditional enterprises directly entering the Industrial Internet. The reality is that most enterprises only have a few very large equipment. They There is no budget or motivation to develop a software system just for predictive maintenance.

Those who are motivated to do this either belong to the industry standard setters or the few industry leaders with monopoly status, or they are pure software companies. The former can make the business more refined and deeper, but it is difficult to do it universally and cannot create profits. A virtuous circle; the latter can make the system universal, but in the professional field it can only fall behind the former.

This seems to be a dead end, either there is no profit and cannot continue to iterate in a virtuous cycle, or it cannot delve deeply into the professional field and can only make small profits but quick turnover.

I have been involved in a very interesting project for more than a year in the past year, and the entry point is quite rare. But when I think about it carefully, I feel it is exquisite and reasonable. That is when parts manufacturers enter the industrial Internet.

We all know that no matter how complex a machine is, it is composed of different mechanical structures, and different mechanical structures are composed of a large number of repetitive parts, such as flanges, bearings, gears, etc.

The subtlety of starting from parts is that although the standards of different parts are complicated and the printed book can be several meters high, the operating logic of the same part remains the same. Since a common place can be found, it is highly feasible to monitor parts and then machines through software. It can not only help the customers of parts manufacturers to perform predictive maintenance and save costs, but also become a business growth point for parts manufacturers. Manufacturing companies that have established a foothold in the market must be in a leading position in terms of the effectiveness of parts, and serve customers from all walks of life, making them both in-depth and versatile.

Enterprises that can find growth points and have the ability to implement them have already completed basic informatization, and most of their businesses are already in a stable state. If they want to grow again, they need to rely on digitalization. They not only sell parts, but also sensors and supporting products. Serve.

Integration includes but is not limited to general purchase, sales and inventory management, customer relationship management, mechanical modeling, shopping mall, professional vibration analysis, automatic drawing drawing, standard automatic matching, etc. That is, the common chimney-style data islands are opened up.

Specifically, the integration methods of different enterprises are different. Due to historical reasons, different functions have different structures, different user systems, and different use departments. Integration is a time-consuming and laborious task. During the integration process, various functions still need to be integrated. Continuous iteration, more often than not, a multi-year plan, and step-by-step integration according to the company's strategy.

The degree of informatization of processes or functions in an enterprise depends on market demand and technological changes. Some technologies are very mature, and even customized businesses can be quickly implemented through assembly, while others rely on technological iterations, such as typical ones. Internet of Things technology, AI technology. Therefore, the more likely scenario is that some processes in an enterprise have already become intelligent while they are still in a non-informatization state.

IoT and AI

The pain points of the Internet of Things in other industries also exist in the machinery field: fast power outages, low online rates, diverse protocols, widely differing communication methods, and scattered scenarios. Fortunately, for parts manufacturers, the supported businesses are not all but limited to Within a certain range, standards, protocols, and communication methods can be unified to a certain extent, and scenarios can be framed or expanded based on existing businesses. Producing your own parts and the sensors to monitor them is highly feasible.

AI technology is gradually maturing, and its main task in the industrial field is to liberate manpower, whether it is traditional factory line workers or current mechanical diagnostic engineers. However, the fact that has to be acknowledged is that the results of AI work in professional fields are always unsatisfactory and require human labor. supervision, human beings and AI may coexist for a long time.

Coordinate resources to simultaneously promote integration, research and development, and transformation under established plans.

The simultaneous advancement of integration, R&D, and transformation is a management idea and method that emphasizes not only the integration of information resources, but also the research and development of new products and the transformation of existing information products to achieve continuous innovation and development. Through the simultaneous advancement of integration, R&D, and transformation, enterprises or organizations can better adapt to market changes, enhance competitiveness, and achieve sustainable development.

Release products in a planned manner. After each release, apply Internet product ideas to quickly push it to the market or to some customers. Verify product functions and quickly iterate through customers' paid or unpaid feedback.