The large-screen display system of the dispatch and rush-repair center of Wuxi China Resources Gas Co., Ltd. (hereinafter referred to as "Wuxi China Resources Gas") was first built in 2010 and is a core component of the entire dispatch center. It plays an irreplaceable role in pipe network real-time monitoring, gas source dispatching, rush-repair and inspection dispatching, and emergency command. According to the changes and deepening of Wuxi China Resources Gas's business in recent years in pipe network data collection and monitoring, gas source dispatching, cloud rush-repair, and pipe network GIS, as well as the rapid development of visualization technology, combined with the company's smart operation development philosophy and planning, in order to more clearly, beautifully, and richly display the company's business situation and various data analysis results, it is proposed to carry out the upgrade and reconstruction of the large-screen visualization system.

When power emergency events occur, relying solely on a single department's power emergency command and emergency plan is insufficient. Relying on big data visualization presentation technology, Shanxi Power Grid Company, through the results of work order control, emergency disposal, power outage warning, and power supply reliability, provides a basis for studying the characteristics of sudden, high-frequency, high-harm, and wide-spread power grid disasters, systematically carries out accident prevention, integrates resources, unifies scheduling, optimizes resource allocation, responds rapidly, and minimizes power outage losses.

As one of CNPC's digital transformation pilot units, the oilfield focuses on the "three improvements" of efficiency, benefit, and effectiveness. Following the principle of "unified planning, phased implementation, pilot first, and scaled promotion", it integrates digital technology into the full business chain of exploration, development, production, operation, and office, builds a characteristic digital oilfield of "intelligent reservoirs, intelligent wellbores, intelligent surface, and intelligent management", and constructs a new management model of "real-time monitoring, intelligent diagnosis, collaborative sharing, risk pre-control, and smart decision-making". With the goal of building a digital oilfield ecosystem marked by "six transformations", it strives unremittingly for the grand goal of building a "first-class domestic digital oilfield".