On October 18, the China Electronic Information Industry Federation announced the data management capability Maturity (DCMM) assessment results, and the National Energy Group Railway Equipment Company (hereinafter referred to as "Railway equipment Company") successfully obtained the quantitative management level 4 certification, becoming the first domestic railway freight field to obtain the level 4 certification. It marks a new breakthrough in data management and digital operation capabilities of National Energy Group Railway Equipment Company. 

 In recent years, railway equipment companies have actively promoted the wide application of new generation information technology and digital technology such as big data and artificial intelligence in railway freight car maintenance production and enterprise operation scenarios. Through the continuous accumulation of massive data, they have gradually improved their data management capabilities such as data collection, integration, statistics and analysis, which has effectively promoted the improvement of enterprise operation efficiency and decision-making ability. It builds a data-driven enterprise production and operation management model, realizes a closed loop of data resource value, and provides boosting momentum for accelerating the formation of new quality productivity. 

 Consolidate intelligent operation and maintenance production system with data management capabilities 

 The railway equipment company uses the new generation of information technology to promote the digital transformation of the traditional vehicle maintenance business model, and continuously upgrades various monitoring and testing equipment and technical means, further consolidating the intelligent construction foundation of heavy haul railway, and effectively improving the efficient collection and real-time transmission capability of railway mobile equipment and fixed infrastructure data. With the help of the massive, real and reliable big data resources collected and accumulated, the comprehensive discriminant model of failure law research and diagnosis decision of key components has been developed, and a data-driven intelligent operation and maintenance production system of heavy haul railway has been fully realized. A train of 54 assembled C80 railway trucks can be repaired in about 4 hours, saving about 68 hours compared with the traditional maintenance mode. The maintenance cost of railway freight cars in the whole life cycle is reduced by more than 20%, the vehicle transportation week is compressed by 0.3 days, and the all-weather intelligent monitoring and management of vehicles used to repair is realized simultaneously, which brings huge economic and social benefits for the safety of heavy train transportation. 

 With the continuous accumulation of various types of production and operation data, railway equipment companies, combined with their own business characteristics and management requirements, form a data management capability system from the aspects of data governance, data application, and digital talent construction, and gradually cultivate data management capabilities. Since 2024, we have made every effort to carry out DCMM evaluation, systematically sorted out and analyzed the current situation of enterprise data governance and digital construction by comparing the capability requirements and standards of the evaluation model, summarized the existing achievements and shortcomings, and formed phased improvement suggestions based on data quality, data standards, data architecture and other aspects. While constantly improving data management capabilities, Continue to consolidate the advantages of the company's intelligent operation and maintenance model. 

 Data infrastructure to consolidate the "wisdom to change the number of" action foundation 

 Railway equipment companies plan the construction of intelligent operation and maintenance infrastructure, forming a data infrastructure cluster with production big data centers as the core, and continuously importing huge data from various sensors, monitoring devices and first-line terminals every day, providing a solid foundation for the maintenance of heavy haul railway mobile equipment and the construction of fixed infrastructure maintenance system. Construction and development of enterprise-level data lake and governance platform, from the business, technology, organization, master data and other dimensions, comprehensively cover the company's business system data, accelerate the unified management and integrated application of data resources, effectively realize data asset management, and greatly improve the company's data management and application capabilities. 

 At present, the railway equipment company is steadily promoting the special work of "intelligent transformation" and starting the construction of a number of key scientific and technological innovation and technological transformation projects. Through the deep integration of intelligent manufacturing technology and cutting-edge digital technology with maintenance production operation and maintenance, the intelligent level of dynamic monitoring of process equipment running status, automatic generation of production task decisions, and full process coverage of plant operation and management can be achieved. The construction and improvement of data infrastructure will provide data base, computing resources and basic models for equipment transformation, technological innovation and process optimization, achieve lean production and fine management, improve total factor productivity, and strive to build smart maintenance factories and modern equipment systems integrating automation, intelligence, flexibility and information technology, and achieve new breakthroughs in the digital transformation of the industry. 

 Create a paradigm of technical cooperation in the industry with the circulation of data elements 

 Railway equipment company actively excavates the analytical value, industrial value and economic value of data, and explores the management path of data "resources-asset-productization". On the one hand, build a big data product system for intelligent operation and maintenance of railway equipment, become the first enterprise in the railway industry to release data products on the public exchange, and carry out cooperation with upstream and downstream partners in the construction of heavy duty railway operation and maintenance data industry chain, through data circulation, process improvement and quality optimization, create a new paradigm of industry cooperation that reduces costs and increases efficiency and win-win technology. Realize the transformation of economic benefits of data elements. 

 On the other hand, based on the leading advantages of the industrial digital construction industry, as a participant in the national standards and industry standards of industrial big data management, it empowers the development of industrial digital construction with its own experience. Take the lead in the layout of artificial intelligence data production capacity, focus on the needs of enterprise intelligent construction, build and form industrial data sets covering intelligent operation and maintenance, status maintenance, remote full-process intelligent work and other scenarios, support the training and optimization of artificial intelligence application models and continuous iteration, effectively improve the ability of enterprise data operation and control, and fully release the value of data assets. In the opportunity period of intelligent and digital transformation of traditional industries, National Energy Group Railway Equipment Company will rely on key project construction and key core technology upgrading, consolidate and improve integrated data management capabilities, and promote scientific and technological innovation and value creation through digital transformation. We will strive to cultivate the characteristic new quality productivity of railway equipment with the distinctive characteristics of "high-end, intelligent, low carbonization and pedigree", and shape the new momentum of transformation for the construction of an industry-leading intelligent railway equipment enterprise.