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On November 28, the \"Quanying Thermal Power Cloud ADMC Intelligent Control Project\", jointly developed by Dongming Qianhai Heat Power Co., Ltd., a subsidiary of Shandong Dongming Petrochemical Group, and Shanghai Quanying Technology Co., Ltd., was officially completed and delivered after passing the acceptance process. This 5-month-long intelligent upgrade, which features intelligent control across the entire process of \"boilers – turbines – pipelines\", an ultra-high automatic operation rate of 99.82%, and a 1.51% improvement in overall energy efficiency, not only paved the way for Dongming Qianhai Thermal Power to reduce costs and increase efficiency, but also served as a model for the thermal power industry in using intelligence to overcome energy efficiency challenges. Intelligent solutions for breaking through limitations: from \"manual intervention\" to \"full-process automated control\". Dongming Qianhai Thermal Power Co., Ltd. is the key energy provider for the local chemical industry cluster in that area. It supplies stable steam and electricity to various chemical companies within the park, such as Runze Chemical, Lishu Shengyuan, and Qianhai Chemical. The company operates 2 high-temperature and high-pressure circulating fluidized bed (CFB) boilers with a capacity of 380 t/h each, 1 high-temperature and high-pressure backpressure steam turbine with a capacity of 18 MW, and 2 temperature and pressure reducing units. Its annual steam supply capacity reaches several million tons. The stability and efficiency of its energy supply are crucial for ensuring the safe operation and full production capacity of the downstream chemical enterprises; it serves as an essential \"energy heart\" for the regional chemical industry chain. However, as a traditional thermoelectric enterprise, Dongming Qianhai Thermal Power has long faced the common industry problem of multiple units operating independently. Under manual operation, the main steam pressure fluctuates by up to ±0.4 MPa, while the drum liquid level varies by ±23 mm. This not only makes it difficult to meet the stringent requirements of downstream chemical enterprises regarding steam quality, but also results in high energy efficiency losses due to uneven load distribution and delayed parameter adjustment. The implementation of Quanying Technology’s ADMC intelligent control system has completely restructured its thermoelectric production model at the control logic level. The project covers the entire set of core production systems of Dongming Qianhai Thermal Power, enabling full-process automatic control of \"9 key systems on the boiler side + 6 types of core equipment on the turbine side\": parameters such as boiler coal feeding, feedwater temperature reduction, primary air, secondary air, and exhaust fans can be adjusted dynamically based on real-time operating conditions. Equipment such as high and low pressure deaerators, temperature and pressure reduction devices, feed water pumps, and drain pumps are subject to precise, unmanned control, and even the desulfurization and denitrification systems used in environmental protection are included within this intelligent closed-loop control system. During the acceptance phase, both parties carried out a 72-hour continuous operation test in accordance with the technical agreement; the results showed that the system’s automatic operation rate was as high as 99.82%, far exceeding the preset standard of “≥98%”. What is even more noteworthy is that the \"intelligent dashboard + mobile management\" system developed as part of this project ensures that intelligence is integrated throughout the entire production process: the intelligent boiler dashboard displays in real time key parameters such as bed temperature, furnace negative pressure, and main steam parameters, as well as the automatic status of the equipment, and it allows for quick identification of any abnormal parameters ； The turbine dashboard integrates key data such as steam pressure, power generation capacity, and deaerator level, providing an intuitive view of the turbine’s operational efficiency ； The desulfurization and denitrification dashboard focuses on environmental parameters such as the outlet NOx concentration and urea flow rate, to ensure precise control of pollutant emissions. At the same time, managers can remotely monitor production data, view parameter trend curves, and receive alerts for abnormalities through mobile apps, thus truly enabling them to keep track of the entire factory’s operational status without leaving their desks; this improves operational efficiency by over 60% compared to the traditional paper-based reporting method. Furthermore, the system’s built-in \"data + mechanism\" hybrid modeling and online self-learning capabilities enable it to dynamically adapt to changes in coal types and fluctuations in downstream steam demand, continuously optimizing control parameters and thus delivering the long-term benefit of a \"smarter system over time\". Energy efficiency boost: The quantitative value behind the 1.51% improvement. The ultimate goal of intelligence is to create tangible, quantifiable energy efficiency benefits for businesses. To ensure objective and comparable data, Quanying Technology and Dongming Qianhai Thermal Power jointly selected two 3-day periods with similar coal quality and stable boiler loads, to be used as the \"baseline period\" (under manual operation mode) and the \"optimization period\" (under the ADMC system operation mode). Energy efficiency was compared using \"steam production per ton of standard coal\" as the key indicator; this indicator is calculated by taking into account various factors such as the total steam output of the boiler, coal consumption, and the lower calorific value of the coal. The verification methods specified in the technical agreement were strictly followed to prevent inaccuracies resulting from variations in any single parameter. The final acceptance data show that the steam production per ton of standard coal during the optimization period was 1.51% higher than that in the baseline period. Based on Dongming Qianhai Thermal’s annual steam production, this results in savings of over a thousand tons of standard coal per year, leading to a significant reduction in coal consumption costs ； At the same time, there was a significant improvement in the stability of key process parameters: the fluctuation range of the main steam pressure was reduced from ±0.4 MPa under manual control to ±0.33 MPa; the fluctuation of the drum liquid level decreased from ±23 mm to ±15 mm; the fluctuation range of oxygen content control was brought down from ±1.1% to ±0.4%, and the fluctuation range of the deaerator liquid level was reduced from ±190 mm to ±25 mm. The improvement in parameter stability not only reduces energy waste caused by fluctuations in operating conditions, but also completely eliminates the risk of unstable steam supply affecting downstream chemical production; as a result, the satisfaction of downstream enterprises with the steam supply has increased significantly. “Previously, the shift supervisor spent 2 hours each day compiling paper reports from various positions, and errors were likely to occur during data verification ； The smart dashboard now generates production data in real time, reducing the need for manual intervention by 80%. ”A responsible official from Dongming Qianhai Thermal Power said that the ADMC system not only delivers tangible energy efficiency benefits but also frees maintenance staff from tedious manual tasks, allowing them to focus on more valuable activities such as process optimization and preventive equipment maintenance, thereby achieving threefold improvements in cost reduction, efficiency enhancement, and quality improvement. Industry benchmark: Providing a replicable path for the intelligent transformation of thermal power generation. The successful completion of the Dongming Qianhai Thermal Power project is not merely a localized upgrade by a single company; it reflects the core principles behind the intelligent transformation in this industry – using \"full-process automatic control\" to overcome the challenges associated with coordinating multiple units, leveraging \"data-driven optimization\" to unlock potential for improved energy efficiency, and ensuring continuous operations through \"minimal disruption\" during implementation. As another benchmark project for Quanying Technology in the field of chemical and thermal power generation within industrial parks, the implementation experience of this project is highly replicable: during the preliminary research phase, Quanying Technology carefully considered the characteristics of the units operated by Dongming Qianhai Thermal Power as well as the patterns of steam consumption by downstream users, in order to develop customized control algorithms ； During the implementation phase, a \"step-by-step debugging and staggered operation\" approach is adopted to avoid disrupting normal production ； Remote operation and maintenance support is provided after acceptance to ensure the long-term stable operation of the system. The entire project took only 2 months from initiation to completion of debugging, achieving the transformation goals of \"low interference, rapid implementation, and high returns\". With the continuous implementation of policies such as the \"Implementation Plan for the Special Action to Upgrade New Generation Coal-fired Power Plants,\" \"intelligentization + energy efficiency improvement\" has become a necessity for thermal power companies to overcome development bottlenecks and achieve a green and low-carbon transformation. In the future, Quanying Technology will continue to rely on the ADMC thermoelectric intelligent control system as its core to deliver intelligent solutions that are \"stable and reliable, with visible energy efficiency, and adaptable to various scenarios.\" These solutions will help more energy supply companies like Dongming Qianhai Heat to achieve both cost reduction and increased efficiency, as well as sustainable development, through technological upgrades. This will accelerate the transition of the thermoelectric industry from being driven by traditional methods to one that is driven by intelligent data.