The extraction and processing of natural gas at wellheads is highly susceptible to challenges such as hydrate formation, which can impede flow and damage infrastructure. In order to reduce these risks, methanol is usually injected as an inhibitor. Although, the efficiency of methanol usage and its impact on the operational costs and environmental compliance remain a concern. This paper proposes to design a project aimed at harnessing the capabilities of the Industrial Internet of Things (IIoT) to optimize the injection of methanol depending on real-time monitoring for pressure and temperature of the produced gas at wellhead sites. Our proposed system involves the deployment of advanced IIoT sensors based on ZigBee network with ESP 8266 as a gateway which has the ability to continuously monitoring the pressure and temperature conditions of the gas at the wellhead. These sensors will collect the data and upload it to Onenet cloud server equipped with algorithms designed to automatically adjust methanol injection rates. The decision-making process will be automated, and this ensuring effective hydration formation prevention and at the same time minimizing methanol waste and environmental impact. The project also developed a user-friendly dashboard that provides real-time insights and historical data analysis, which will be very helpful for operators to make informed decisions and maintain an efficient operation conditions. By integrating IIoT technology, the proposed system promises significant improvements in resource management, operational safety, and compliance with environmental standards. This contribution represents a transformative approach to traditional gas wellhead management, offering a scalable solution that can be adapted to different operational environments, ultimately enhancing the sustainability and profitability of natural gas extraction operations.