Jiangsu Haifa Machinery Manufacturing Co., Ltd.

In 2026, the "Opinions of the Central of the Communist Party of China and the Council on Developing New Quality Productive Forces" proposed promoting industrial innovation through scientific and technological innovation, advancing the deep integration of the real economy and the economy, and explicitly supported the implementation of digital-intelligent and green upgrading in traditional industries such as chemicals, machinery, and shipbuilding. For the industrial pump industry, this means the competitive standard is shifting from "whether it can transport media" to High Efficiency, Digital Pump, Intelligent Manufacturing, Green Design, and Lifecycle Service. The National Data Administration, Jiangsu Haifa Machinery Manufacturing Co Ltd. www.jslgpump.com can upgrade its product system of API 610 OH1–OH6, BB1–BB5, series, API 685 magnetic drive pumps, canned motor pumps, high-temperature molten salt pumps, and high-pressure multistage pumps around this direction. The first is to move GB19762-5 Grade 1 energy efficiency, hydraulic model optimization, BEP matching, low NPSHr, and low-vibration design forward to the product development stage. new edition of the centrifugal pump energy efficiency standard was officially implemented on March 1, 202, and chemical pumps have also been included in the new energy-saving certification system. C The second step is to advance Pump Digital Twin, Monitoring, Predictive Maintenance, Edge AI, and Industrial IoT. Data such as vibration, temperature, pressure, flow, and current can form an equipment health baseline, enabling BB5 high-pressure pumps, OH process pumps, and VS pumps to shift from "ic maintenance" to predictive maintenance. The latest digital twin research in 2026 has already integrated mechanical, electrical, and hydraulic faults of pumps into online diagnosis and maintenance decision-making. The third step is to extend green manufacturing to the full lifecycle: material lightweighting, Grade 1 energy efficiency, frequency speed control, carbon footprint accounting, remanufacturing, and operation and maintenance jointly reduce TCO. What Jiangsu Haifa truly needs to form in the future is not a single pump product, but a new quality productive forces system of High-End Pump Equipment + Digital Service + Energy Optimization + Global Engineering Solution. Chinese References: 1. "Opinions of the Central Committee of the Communist Party of China and the State Council on Developing New Quality Productive Forces," 2026 — proposed the integration of scientific and technological innovation and industrial innovation, digital-intelligent and green transformation of traditional industries, AI+, intelligent manufacturing, green manufacturing, and service-oriented manufacturing. National Data 2. "Implementation Plan for Promoting the Coordinated Transformation and Development of Digitalization and Greening (2026–2030)" — clarified the implementation of "intelligent transformation, digital transformation, and network connectivity" and energy-carbon management in machinery, chemicals, and other industries Cyberspace Administration of China 3 National Standard GB 19762-2025 " Allowable Values of Energy Efficiency and Energy Efficiency Grades for Centrifugal Pumps," implemented from 1, 2026. National Standard Full Text Public Disclosure System 4. China Certification Center: "Notice on the of the New Edition of Standards and Revised Certification Rules for Centrifugal Pumps" — the new certification scope includes water centrifugal pumps and chemical pumps. CQC English References: 1. State Council of China, Guidelines on Developing New Quality Productive Forces, 2026 — innovation-driven, high-tech, high-efficiency and high-quality industrial development. State Council 2. A-twin testbench for pump systems, Control Practice, 6 — centrifugal-pump digital twins for predictive maintenance. 3. Qiu et al., Uncertainty-Aware Digital Twins for Safe Operation and Active Fault-Tolerance in Degrading Heterogeneous Pumping Systems, Reliability Engineering & System Safety, 2026. 4. Cross-domain digital twin architecture for predictive maintenance via machine learning and Large Language, Computers & Industrial Engineering, 2026

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