Industry-Academia Collaboration Powers Low-Carbon Development: SOLIDAT Jiangxi Deepens R&D Partnership With Tianjin University To Break Through Core Technologies For Industrial Detection And Combustion Optimization
Jul 27, 2026| On July 25, the Exchange Conference on Industry-Academia Matching for Waste Resource Recycling was grandly held in Nanchang, Jiangxi Province. Co-hosted by Tianjin University, Central South University, the Department of Science and Technology of Jiangxi Province and Jiangxi Academy of Sciences, the event gathered many Members of the Chinese Academy of Engineering including Qiu Dingfan, Zhang Wenhai and Chai Liyuan, provincial government officials of Jiangxi, as well as representatives of leading industrial enterprises such as Jiangxi Copper and GEM. Attendees engaged in in-depth exchanges and matchmaking focusing on circular economy, green low-carbon development and commercialization of research outcomes. The conference also featured the "Gan Release Achievements" 2026 Project Roadshow, where four sci-tech cooperation projects were signed on-site. SOLIDAT Jiangxi Measuring Instrument Co., Ltd., the Jiangxi subsidiary of SOLIDAT Group, signed an in-depth R&D cooperation agreement with the School of Environmental Science and Engineering, Tianjin University. The two parties will jointly tackle core technologies for industrial detection and combustion optimization.

The 15th Five-Year Plan period has entered a critical stage for carbon peaking. Endowed with abundant strategic mineral resources including tungsten, rare earths, copper and lithium, Jiangxi boasts huge development potential for waste resource recycling industry. The sector attaches great importance to the prevention and control of secondary pollution arising from solid waste disposal, and there is an urgent need for intelligent, integrated combustion regulation technologies to address industrial pain points. As a tech enterprise specializing in high-precision industrial measurement and control, SOLIDAT focuses on four core scenarios: biomass co-firing, coal-fired power generation, biomass power generation and waste incineration power generation. It delivers complete solutions covering precision industrial measurement, online coal quality analysis and combustion optimization, leveraging self-developed AI large models to enable full-process intelligent combustion regulation, and providing robust technical support for energy enterprises to achieve stable, efficient and low-carbon operation.

SOLIDAT has maintained a long-term stable university-enterprise collaborative relationship with Tianjin University. This deepened cooperation will fully integrate the core strengths of both sides: drawing on Tianjin University's profound research accumulation in combustion mechanisms, environmental engineering and process monitoring, combined with SOLIDAT's industrialization advantages in sensor hardware R&D, complete equipment mass production and on-site engineering implementation, to form a complete transformation chain linking cutting-edge university theories to industrial on-site applications.
Waste incineration and biomass co-firing power industries are generally plagued by drastic fluctuations in incoming feedstock composition and unstable furnace operating conditions, which directly reduce burnout efficiency and increase pressure on pollutant treatment. Targeting these common industrial pain points, the university-enterprise alliance will jointly research key technologies including online detection of multi-phase materials, real-time furnace condition perception and intelligent regulation of dynamic air distribution. Relying on SOLIDAT's self-developed AI large model to integrate multi-dimensional monitoring data, the system will realize automatic full-process optimization and regulation of incineration systems, stabilize furnace operating conditions and improve fuel utilization efficiency. This helps enterprises cut energy consumption and costs while maintaining stable flue gas compliance, effectively addressing pollution control challenges in waste resource recovery and utilization, and aligns with the conference's vision of advancing green and intelligent development of the circular industry.

Per the cooperation agreement, the two parties will establish a long-term collaborative innovation mechanism advancing three major dimensions: joint scientific research, joint cultivation of professional technical talents and industrialization of research outcomes. Supported by Jiangxi's "1+M+N" sci-tech achievement transfer and transformation service system, laboratory innovations will be accelerated into mass-producible complete industrial equipment, realizing two-way empowerment of university research value and industrial application, and facilitating the landing of high-quality circular economy tech projects in Jiangxi.
Chen Xiaozhong, Technical Director of SOLIDAT Group, stated that driven by the dual carbon strategy, demand for intelligent transformation in thermal power, solid waste incineration and biomass energy industries continues to surge, and intelligent detection and combustion optimization stand as core drivers for industrial upgrading. The deepened R&D cooperation with Tianjin University marks a key milestone in the company's layout of low-carbon energy technologies. Moving forward, SOLIDAT will continuously consolidate its core competitiveness in precision measurement, expand industry-university-research linkages with top-tier universities, iterate and upgrade domestically-produced integrated intelligent measurement, control and combustion optimization solutions, and contribute technical strength to the high-quality green development of waste resource recycling and energy industries in Jiangxi and across China.
Extended Reading
SOLIDAT has long partnered with Tianjin University to deepen research into industrial detection and combustion optimization. For biomass co-firing, coal-fired power generation, biomass power generation and waste incineration power generation scenarios, the company provides complete solutions for precision industrial measurement and online coal quality analysis as well as combustion optimization. Its self-developed AI large model empowers combustion optimization to underpin stable and efficient operation of energy enterprises.
Article Link: https://mp.weixin.qq.com/s/_5U6sOuo1EoOdqRMGEDBoQ


