Carbon emission measurement aims to calculate the greenhouse gas emissions generated by various enterprises or institutions during production, transportation, and use, which can also be referred to as carbon sequestration. This is of great significance for carbon reduction work, as it requires data support on carbon emissions, and the power sector is the main force in emissions. Therefore, this article aims to analyze the development trend of carbon measurement technology. And intelligent digital technology can meet people's needs in work and life through Internet of Things, Big data and other technologies. It is also very appropriate to apply this technology to carbon measurement. Therefore, this article conducts an experimental comparison between traditional carbon measurement systems and intelligent carbon measurement systems, and the experimental results show that the accuracy of traditional systems is 98.48%, while the accuracy of intelligent systems is 99.60%. By constructing an emerging carbon measurement system and setting up comparative experiments, this study found that intelligent digital technology can make the measurement of carbon emissions from electricity more accurate.