On Oct. 18, the Political Bureau of the Central Committee of the Communist Party of China carried out the 34th collective study on the advancement of the sound growth of China's digital economy.

General Secretary Xi Jinping, during the process of presiding over the collective learning, noted that, recent years have seen the rapid innovation development of technologies such as the Internet, big data, cloud computing, AI, and blockchain, which are increasingly integrated into the entire process of economic and social development. As the digital economy rapidly advances with the wide range of coverage, and the unprecedented influential force, it has become a driver in reorganizing global factor resources, reshaping the global economic structure, and changing the global competition pattern.

Currently, the traditional manufacturing industry has encountered worsen situations such as shortage of human resources, overcapacity, and lag in traditional equipment production technology and benefits. Digital manufacturing significantly affects the intelligent development of traditional manufacturing.

01 How does traditional manufacturing transform to digital one?

Strick policy: Under the national policy system for the manufacturing industry, it encourages small and medium-sized enterprises, especially "specialized, fined, characterized and novel" enterprises to implement scientific and technological innovation, the traditional manufacturing industry has long employment time, uneven employment environment, and fewer manufacturing workers year by year, etc. The demand for digital transformation of enterprises is increasingly urgent.

Their analysis: Above all, when faced with different digital manufacturing solutions, traditional manufacturing industries should match compatible solutions as required. Next, when conducting the digital transformation, the traditional manufacturing industry shall observe the following four principles:  Quick win, external first, then next internal, steady progress, and smooth transition.

Quick win: Choose easy and influential measures to achieve quick wins in the short term, thereby acquiring internal and external support as soon as possible, and gathering popularity for the subsequent battles;

External first, then internal: Meet the requirements of final customers and partners, and transmit external pressure to internal while reaping explicit benefits;

Steady progress: Adopt the way of first pilot and then promotion, so as to avoid potential business risks;

Smooth transition: The old and new systems operate in parallel, and the old ones die out naturally, realizing a smooth transition between the old and new systems.

02 Digital Manufacturing Plan -- Colibri Technologies

The digital transformation of traditional manufacturing has become a required topic, rather than an alternative one. According to the data, about 85% of China's manufacturing enterprises have different degrees of digital transformation and upgrading needs. The input calculation proves that the digital economy accounts for 10% of the actual proportion of China's economy.

There are nevertheless many application scenarios, insufficient data processing capabilities, and complex systems. While pursuing digital transformation, the traditional manufacturing industry has encountered many problems. Owing to its intensive experience in the field of automation, Colibri Technologies can profoundly understand the dilemmas in the development of traditional manufacturing, which has established complete digital solutions.

Facing the problems like lag in the traditional manufacturing transformation, decline in efficiency, and labor difficulties, Colibri Technologies, by following the four principles of digital transformation, offers digital intelligent manufacturing interconnection common technologies and digital manufacturing solutions, thus assisting the traditional manufacturing in transforming to digital manufacturing.

The digital manufacturing solution of Colibri Technologies, building on the "factory data center" and "operation management center," digitizes the core production factors of the factory through the OPM big data platform, thereby pursuing the steady economic growth. With the solution of employment difficulties in the manufacturing industry as an example, by realizing automatic operation of equipment, automatic push of faults, automatic delivery of materials, automatic process switching, automatic environmental monitoring and control, etc., it reduces the labor costs, stabilizes employment, and visualizes the benefit growth.

The factory data center, through automatically collecting the data like equipment operating status, rhythm, key parameters, tasks and switchover, fixtures, energy consumption, environment, displays it in real time as per the layout of the workshop station. By doing the above, it realizes real-time production monitoring and scheduling.If the cases like abnormal line stoppage or substandard efficiency occurs, the system will give an immediate warning and push abnormal information. Through big data analysis of failure, efficiency, yield, line change time, etc., it forms a data knowledge base, quickly handles the reverse drive problem, and establishes a sound circulation system, thereby further endowing the relevant positions.

The operation management center can maintain the equipment in all respects, which cover the aspects such as calling, push, spot check, repair, maintenance, snapping up, knowledge base, early warning, upgrade, and spare parts. Through the system function of the user restraint mechanism, the relevant post personnel can be urged to input data. Furthermore, the specific situation of the benefit is visually presented through the data collection and statistical analysis, which facilitates timely adjustment.

03 Colibri Technologies digital manufacturing core competence

Core of platform: It utilizes Service-Oriented Architecture (hereinafter referred to as SOA) micro service architecture.Micro services are not only an architecture, but more like an ecosystem. Although the applications are mutually independent, they are still depend on each other. Design a map through the domain-driven modeling (DDD) model, put the appropriate code in the corresponding location; Solve the problems of high concurrency, wide connection and system stability; The cloud + terminal model features light application, quick deployment, and easy maintenance. It is provided with different intelligent terminals pursuant to different job roles, and work management is completed in the most convenient way.

IOT Data platform: Automatic collection of equipment data, automatic monitoring of equipment status, and real-time control of production efficiency.

MES Intelligent manufacturing platform: Establish a comprehensive planning organization system from top to bottom, help manual scheduling, tracking and analyzing the scheduling execution data in real time. Combine the equipment data with product data, and realize the digital visualization of the entire manufacturing process through intelligently collecting equipment-side data and the digitizing product flow, thereby visualizing the digital production process.

Operation management platform: TPM comprehensive equipment maintenance and KPI indicator group management.On the basis of the actual KPI indicators, it provides visual centralized management and control for factory production, mutually integrates business flow, data flow, information flow and decision flow, and collaboratively optimizes the manufacturing process, thereby transforming and upgrading the traditional manufacturing enterprises.

Looking forward to the future, always has Colibri Technologies adhered to the value of "virtuous and refined skills, practicality and innovation, mutual learning and cooperation, and responsibility." It is committed to innovating and applying the automation technology to advance intelligent manufacturing.