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Industrial Software Expert Talk | He Jun: Continuously Deepen the Industrial APP Ecosystem to Boost Manufacturing Transformation and Upgrading


 Under the wave of digitalization and intelligence, manufacturing is moving towards a new stage of transformation and upgrading—the data-driven stage. Under new technological conditions, industrial big data, as a new asset, resource, and production factor for enterprises, plays a role in reducing uncertainty in the decision-making process and is also the driving force for the continuous evolution of industrial APPs.
 Unlike the localized deployment and complex operation of traditional industrial software, industrial APPs are developed and deployed based on the industrial internet platform, encapsulating and solidifying proven industrial technical knowledge to form industrial applications tailored to specific scenario needs. Due to their flexible deployment, compact size, and ease of operation, they have become important tools for manufacturing enterprises to optimize processes and improve efficiency.


Industrial Internet Goes Deeper to Tackle Industrial APP Challenges


With the deepening of industrial internet platform applications, industrial APPs for various scenarios are becoming increasingly diverse, covering all business processes throughout the industrial product lifecycle, including R&D, design, production, quality inspection, marketing, service, and other scenarios. The emergence of industrial APPs provides a feasible way for manufacturing enterprises to deeply explore industrial intelligent application scenarios and solve specific problems in the digital transformation process of industrial enterprises. However, developing an industrial APP that meets enterprise needs is not simple. In addition to having an in-depth understanding of industry processes and manufacturing characteristics, it is also necessary to utilize technology to realize the modeling and softwareization of experience, knowledge, and best practices.
In recent years, the industrial APP ecosystem has shown a gradually maturing new trend, which will greatly promote the explicitization of industrial knowledge and reduce the门槛 and cost for small and medium-sized enterprises to promote digital transformation and intelligent upgrading.
The first new trend is "going deeper." Going deeper means getting closer to the场景 and releasing the value of the entire business from within the场景. In the past, everyone talked about how to achieve platformization and standardization, focusing efforts there, but recently there has been a gradual realization that it is necessary to go further down, using industrial APPs in scenarios to realize the value of the platform,这样才能真正释放整个制造业的潜力.
Associated with "going deeper," another trend in the industry is "more vertical." In the past few years, the country has vigorously promoted digital platforms, and now it has begun to promote vertical industry platforms. This is also because the differences between industries are too great, and it is very difficult to unify the standard systems between sub-industries, so it is necessary to make the platform and industrial APPs deeper in key sub-industries.
The third trend is "localized innovation." In the context of emphasizing industrial chain security, industrial APPs have迎来 development opportunities. The proposition of industrial chain security is not for localization's sake but to release the potential of manufacturing itself. For enterprises, the most direct motivation is the cost reduction and efficiency improvement brought by agile innovation. For example, when enterprises want to do more analysis, or factories have small needs and hope for quick responses, the demand for localized software support from enterprises or factories is very strong. From a practical effect perspective, localized innovation, on the one hand, cultivates talent, and on the other hand, makes the system more open. When facing demands such as secondary development and new businesses, various independently innovative industrial internet platform enterprises respond very quickly.
 

Industrial APaaS Platform Provides the Technical Foundation for Industrial APPs


Industrial APPs are industrial application software developed based on the industrial internet platform. To develop an industrial APP, the industrial internet platform needs to provide an environment and tools to support industrial APP development to help users quickly develop and deploy various customized industrial APPs. It can be said that the industrial internet platform is an important carrier for industrial APPs, while industrial APPs support the industrial internet platform in achieving various intelligent applications.
To achieve industrial APP development, deployment, and operation optimization, mainstream industrial internet platforms continuously improve the functions of the industrial PaaS layer, using microservice frameworks and tools to provide a basic environment for application development, creation, and deployment in a building-block manner. However, due to the different technical foundations and industry backgrounds of various platform manufacturers, their support capabilities for industrial APP development also vary.
For example, platforms with an IT background like Alibaba Cloud and Baidu Cloud focus on providing general standardized IT and development capabilities; industrial software companies with an industrial control background like PTC, Hollysys, and Sinopec Info focus on providing solutions in specific technical fields; while industrial internet platforms born out of manufacturing, due to their deep understanding of process technology and沉淀 of industrial knowledge, are gradually becoming the mainstream platforms supporting industrial APP development and deployment.
For example, GETECH Industrial Application Intelligent Platform,面向 the needs of industrial APP development and deployment, provides an industrial geek-style application development platform and rich industrial models, algorithms, and microservice components. When creating applications, users can drag and drop the technical components, industrial models, and service libraries provided by the platform into the application development platform, and adjust rules, permissions, data associations, parameter information, etc., through a visual interface to achieve low-cost, low-barrier rapid construction of industrial applications. Currently, the Dongzhi Industrial Application Intelligent Platform has沉淀 over 20,000 industrial mechanism models and, by encapsulating mechanisms into development components, makes it more convenient for third-party developers to call and reuse them. The累计 developed and deployed industrial APPs exceed 3,500, initially achieving the沉淀, reuse, and promotion of industrial knowledge. These industrial APPs have been successfully applied in more than 30 industries, including泛 semiconductor, 3C electronics, new energy, petrochemicals, steel, pharmaceuticals, etc.
By the end of 2021, GETECH had collaborated with several ecosystem enterprises to build a complete digital capability platform for TCL and upstream and downstream enterprises in the industrial chain, providing industrial application products for different scenarios such as R&D, manufacturing, supply chain, and marketing, driving the协同 development of the electronic information industry cluster with TCL as the链主 enterprise, and achieving efficient allocation of high-quality resources in the upstream and downstream of the industrial chain.
In the era of intelligent manufacturing, the industrial internet has become the core support platform for manufacturing enterprises to promote digital transformation and intelligent upgrading. Whether it has mature industrial APP development, deployment, and optimization capabilities, and whether it has a mature and rich industrial APP ecosystem, has become the key to衡量 the platform's industrial service capability. GETECH will live up to its original intention of entrepreneurship and is willing to work hand in hand with domestic industrial enterprises, based on profound Eastern wisdom, to promote the transformation and upgrading of "Made in China" to "Intelligent Manufacturing in China" through innovation leadership.





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