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Gold Research Institute x Carbon Barrier: Using Digital Technology to Promote Green and Low Carbon Development in the Gold Industry

Gold Research Institute x Carbon Barrier: Using Digital Technology to Promote Green and Low Carbon Development in the Gold Industry

CARBON MANAGEMENTDIGITALIZATIONDUAL CARBON GOALS
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Recently, Changchun Gold Research Institute Co., Ltd. (hereinafter referred to as "Gold Research Institute") has partnered with Carbonstop to jointly develop a "Comprehensive Digital Carbon Management Platform," aiming to promote the green and low-carbon development of the gold industry.

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About the Gold Research Institute

Founded in 1958, Changchun Gold Research Institute Co., Ltd. is affiliated with China National Gold Group Corporation. It is a national-level research institution dedicated to the fundamental theories and engineering technology research and development of the gold industry. The institute operates primarily in technology development, technology transfer, technical services, and technology consulting, focusing on innovation in new processes, technologies, products, and materials, with the goal of engineering and industrializing scientific and technological achievements.

In the era of carbon neutrality, the gold industry is undergoing transformation, and related companies need to prepare for shifting their business towards a low-carbon economy, which holds significant potential for decarbonization. Responsible gold mining companies are taking steps to address climate change challenges and reduce greenhouse gas emissions. However, the gold industry still lacks a systematic approach to carbon emission management, with almost no information technology or digital carbon emission or carbon asset products. The transition to a low-carbon model is not easy. To develop more optimized, precise, cost-effective, and high-quality carbon reduction solutions, the integration of digital technology is essential.

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How can technology empower carbon reduction? The Gold Research Institute has partnered with Carbonstop to develop a digital carbon management solution, applying artificial intelligence and big data technology to carbon emission management in the gold industry, promoting green and low-carbon development.

Carbonstop fully utilizes its professional carbon management knowledge and services, including big data and artificial intelligence technology, to create a comprehensive digital carbon management platform for the Gold Research Institute. This platform integrates multiple functions such as multi-method carbon data collection, multidimensional consolidation, multi-level review, automatic calculation, intelligent analysis, and one-click report generation.

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Using a standardized carbon emission calculation model and relying on a dedicated carbon emission factor database and statistical classification functions, the platform achieves multidimensional statistics and analysis of emission data at both sectoral and enterprise levels.

Furthermore, to fully tap into and mobilize the value of data, Carbonstop has developed a digital dashboard for the Gold Research Institute. This dashboard unifies the management of carbon emission data and production data, presenting them visually through rich components. This releases the value of data from the front end, enabling digital management and intelligent decision-making.

Currently, the Gold Research Institute is working to standardize and systematize carbon emission management in the gold industry, developing relevant standards and conducting research on dual-carbon technology systems and implementation paths.

Under the dual-carbon background, the Gold Research Institute is closely following the pulse of the times, setting a benchmark for the low-carbon and green development of China's gold industry. Carbonstop will continue to empower more enterprises with its over ten years of accumulated practical experience, the world's largest carbon emission factor database, and innovative technologies such as artificial intelligence and big data, helping the gold industry better realize its green value.

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