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Tan Zhang: industrial operating system reshapes the digital competitiveness of enterprises

in the past few years, industrial interconnection has not only triggered a technological trend in the world, but also become an important weapon for the government to build a strong engine for China's industry, build a new industrial ecosystem, and lead high-quality economic development under the current complex and volatile political and economic situation


Industrial interconnection has become an important infrastructure

in today's world, the wave of informatization has swept the world, and information and communication technology and manufacturing technology are integrated. Human society is entering a new era of interconnection of all things, virtual and real integration, digital intelligence, and open sharing. The historic intersection between industrial interconnection and China's accelerated transformation of the mode of economic development has provided a rare and significant historical opportunity for China to implement the innovation driven development strategy

recently, the National Bureau of Statistics announced that China's annual GDP exceeded one billion for the first time, becoming the only major economy to achieve positive growth. The rapid recovery of the manufacturing industry has made a very prominent contribution to the growth and stability of China's economy. Data show that in 2020, industrial enterprises above Designated Size achieved a total profit of 5744.5 billion yuan, an increase of 2.4% year-on-year. With the help of industrial interconnection technology, industrial enterprises around the country have resumed production and work rapidly, reflecting the advantages of China's complete manufacturing categories, strong industrial chain toughness, high flexibility and strong self-healing ability. After more than four years of development, the industrial interconnection industry has also given a satisfactory answer in this sudden epidemic


the necessity of industrial operating system

at present, in the process of transforming the manufacturing industry to digitalization, networking and intelligence, many problems have been gradually exposed in its production, management and operation. The real needs of industrial enterprises are mainly reflected in data fusion, production planning and scheduling, industrial equipment management, production collaboration and so on

in the application of data fusion, there are widespread requirements for multiple data collection, heterogeneous system integration, and data fusion applications. How to effectively process and apply production data, management data, laboratory data, safety monitoring data, environmental protection monitoring data, meteorological environment data, raw material quality, personnel positioning data and video monitoring data in the production and manufacturing process is a common problem faced by industrial enterprises at present. In the actual operation and operation and maintenance process of enterprises, it is strongly required that these data can be seamlessly integrated

in terms of production planning and scheduling, enterprises urgently need industry factory models, physical property databases and algorithm libraries with low application threshold. Because modern industrial enterprises have many production links, complex collaborative relationships, strong production continuity, and rapid changes in the situation, the failure of a part or the failure of a measure on schedule will often affect the operation of the entire production system. Therefore, strengthening production scheduling is very important for understanding and mastering the production progress in time, studying and analyzing various factors affecting production, and taking corresponding countermeasures according to different situations to narrow the gap or return to normal

in terms of industrial equipment management, enterprises lack intelligent, visual and integrated management tools. Manufacturing enterprises have a large number of dynamic and static equipment, including tanks, towers, valves, pipelines, instruments, laboratory analysis, etc. These devices have different degrees of intelligence and different requirements for maintenance, maintenance and management. Many enterprises do not realize electronic full life cycle management for these equipment, only rely on manual and paper accounts to record, and only rely on planned periodic maintenance and repair for the maintenance of a single equipment. However, these equipment have the requirements of long-term operation and stable operation in the production environment. If a certain equipment cannot be repaired in time due to failure, the normal operation of the device will be affected, resulting in shutdown and repair

in terms of industrial production safety management, with the development of industrial automation, production devices have become more and more automated, continuous, large-scale and complex, and the scale of flammable, explosive and toxic dangerous substances handled and stored in the production process of enterprises has also become larger and larger. Once the normal operation state of these substances is destroyed, it is possible to cause casualties, property losses and environmental damage. The scope of disasters is large, and the occurrence of accidents is sudden, catastrophic, complex and social. Therefore, the manufacturing industry has extremely strict requirements for safety management

in terms of production collaboration, enterprises hope to eliminate internal information islands and get through the data of different information systems to improve production efficiency, production quality and reduce costs. Between the upstream and downstream enterprises in the industrial chain, on the one hand, enterprises hope to realize the transparency of product quality, transportation process and intermediate storage process through the tracking of product logistics, on the other hand, they hope to eliminate information asymmetry and realize flexible and scientific supply chain management

at present, more and more industrial enterprises have recognized the necessity of digital transformation, and it is also very urgent to implement digital applications. The industrial operating system can effectively connect various equipment and systems inside the factory to realize interconnection and integration. On the other hand, it can realize the collaboration between enterprises and upstream and downstream of the industrial chain. Through the open platform, industrial intelligent software can realize the de skilled. Industrial operating system can also build industrial software, realize the effective precipitation, sharing and reuse of industrial knowledge, drive the business model transformation, management reform and business model innovation of enterprises, enhance the core competitiveness of enterprises, and then help the high-quality development of the industry


characteristics of industrial operating system

after fully understanding and understanding, and going deep into the front line to sort out the digital needs of enterprises, lanzhuo launched the first domestic industrial operating system supos with independent intellectual property rights in 2018. In our architecture, the industrial operating system is a general platform connecting the preceding and the following. If we regard a factory as one, install an intelligent operating system for each factory, and manage every hardware and production factor in the factory, just like chips and other elements in Android or IOS management; The large vertical stack software in the original factory has become an app on the intelligent operating system. Apps from different manufacturers can operate on a unified platform to realize the new mode of os+app intelligent factory

we believe that an industrial operating system that meets the needs of modern industrial development needs to have the following characteristics:

1) it is used for the integration of full information in the factory and can effectively integrate the production, management and operation data of the factory. The pyramid data transmission mode of traditional plant DCS, MES, ERP and other systems (add: not only the data in the system, but also the equipment data, video monitoring, temperature and humidity and other heterogeneous system data) reply: Here we are talking about the pyramid data transmission mode, not the data structure. In the second article, the heterogeneous system is transformed into a flat structure to realize the interconnection and optimal control between the basic automation systems, Truly give play to the synergy, optimization and amplification of the systems built by industrial enterprises at the factory automation level, and provide basic core support for the safe, stable, long-term, full, excellent and intelligent efficient operation of the factory

2) as the general connector of the factory, it is compatible with all kinds of mainstream industrial protocols, and can realize the full integration and standardization management of industrial data, such as data standardization and operation period management of object information model, multi data preprocessing, storage, compression processing, providing real-time and historical data query services, computing resource management and service governance, business flow construction, and providing an information fusion A platform for rapid data analysis and construction of multivariate data mixing

3) provide a configured app development environment, with algorithm modules and display templates required for data analysis and mining, and support interface DIY. Users can complete the production of reports and the landing of business processes by dragging and dropping with the mouse, and support users' rapid design and development of simple industrial apps

4) provide intelligent engine services, support mainstream algorithms such as cluster analysis, regression analysis, decision tree, random forest, naive Bayes, genetic algorithm, deep learning, neural network, etc., and provide mechanism models and knowledge maps for Industry commonalities, so as to comprehensively improve the flexibility of intelligent applications and reduce the threshold and difficulty of big data and artificial intelligence applications

5) provide platform open services, development tool set, development package, interface and certification release services, which are simple and easy to use. It has a complete and comprehensive industrial app store and developer center, technically supports the development of ecological partners, and can prosper the ecosystem of industrial Internet applications

6) provide secure and controllable layered and multipoint information security protection, support in-depth defense security, and distribute the security protection capabilities in all layers of the platform. Realize information security protection functions such as access control, data partition isolation, communication security encryption, intrusion detection, etc


development experience of industrial operating system

in terms of product application scale, supos industrial operating system has been iterated from v1.0 to V3.0, and has realized the application mode of platform + industrial intelligent apps, enabling 17 industries, including petrochemical and chemical industry, building materials and other process industries, as well as discrete industries such as metal products processing, auto parts, equipment manufacturing, etc. application projects cover 27 provinces and cities across the country, as well as Belarus Thailand, Saudi Arabia and other countries. It has built regional industrial interconnection platforms such as Ningbo, Jiaxing, Anqing and Shaoxing, as well as industrial platforms such as auto parts, metal products, bags and capsules, which integrate upstream and downstream industrial chains and industrial clusters to create regional characteristic industries. At the same time, lanzhuo is actively building a park level platform dominated by chemical parks and small and micro industrial parks to enhance the digital operation and management ability of the park owners

in terms of product maturity, supos has become a complete operating system with edge intelligent platform, industrial information integration platform, industrial data lake, industrial data asset management platform, industrial app open platform, industrial big data analysis platform, open API, SDK, industrial intelligent algorithm, application store, developer center, lanzhuoyun, etc. It can provide enterprises with full life-cycle services with industrial big data as the core; A complete set of it tool sets and template libraries that provide the integration, analysis, mining and visual display of industrial big data and artificial intelligence provide a platform for data and application scenario Innovation for factory producers, managers, operators and business experts; Provide open data services, computing services, storage services and security services, support native development, migration and integration, help industrial app developers focus on the development and design of the business itself, and reduce the technical threshold and development cost of basic services; It provides a unified architecture of cloud, enterprise and end, which can realize the rapid migration of industrial intelligent apps and data, and meet the application deployment scenarios and requirements of enterprises in different periods

Figure 1. Supos industrial operating system architecture

at present, lanzhuo is participating in the construction of industrial interconnection platform system in various places at four levels: region, industry, park and enterprise. Combine local service providers and the national excellent service provider ecosystem, and empower local advantageous industries. At the same time, lanzhuo also cooperates with ecological partners in the industry based on supos industrial operating system. Lanzhuo's ecological partners

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