Since its establishment in 1999, D&G Machinery has been committed to building a national brand, breaking the situation that China's high-end equipment mainly relied on imports. To date, over 800 asphalt mixing plants have been sold worldwide, with products distributed across all provinces, cities, and autonomous regions in China, and exported to more than 40 countries and regions, including Russia and Australia. As early as 2006, D&G Machinery realized the challenges of remote overseas locations and insufficient service network coverage, which often resulted in customers' plant issues not being resolved promptly. For example, for customers in Australia, India, domestic engineers needed to spend several days to reach the job site, which not only lowered the equipment's usage efficiency but also hindered the progress of on-site construction.

Facing the increasingly fierce competition of traditional construction machinery with severe homogenization, D&G Machinery has taken the lead in introducing "big data" technology into the traditional construction machinery industry and developed the DG Reach Service System. By remotely collecting operation data of the equipment, key parameters such as current, voltage, and temperature during operation are feedbacked to the backend in real time. With years of experience and accumulated data in the asphalt mixing plant industry, it has achieved digital twinning of the equipment.

Utilizing this system, D&G Machinery's service engineers conduct remote diagnostics on customers' plant, becoming their "health consultants." No matter when and where there is a problem with the equipment, they can immediately analyze the collected data to find out the cause of the problem, and guide the operators to troubleshoot. On-site services that may have taken days or even weeks can now be solved within hours, which not only greatly improves service efficiency but also saves service expenses, achieving a win-win situation for customers and manufacturers.

Empowered by DG Reach Service Control System, modeling and analysis of equipment status are conducted using data, giving proper maintenance and repair suggestions to customers based on the plant usage. The system can predict the replacement needs of key components and trigger timely alerts, enabling customers to precisely plan maintenance and production as per these prompts, ensuring that the equipment remains in optimal working condition. The system is not only an intelligent solution for customers; it also helps customers better utilize and maintain the plant. Meanwhile, D&G Machinery is leveraging this platform to conduct in-depth analysis of product design. The application of big data not only optimizes customer experience but also provides crucial insights for the company to improve and enhance product design.