Addressing the key issues of WiFi OFDMA uplink transmissions, especially in terms of real-time responsiveness, is a vital concern for contemporary industrial scenarios. The challenges include rigid resource allocation and an inability to cater to varied user requirements effectively. This paper presents an advanced OFDMA-based WiFi uplink random access scheme, specifically tailored to enhance performance and optimize real-time responsiveness in industrial wireless networks. At the heart of our scheme is the implementation of unique association identifiers (AIDs) for real-time users, fostering quasi-scheduled access transmission for efficient data management. To complement this, we incorporate a state-aware resource allocation mechanism that dynamically refines resources in line with current network conditions. Furthermore, we leverage the maximal ratio combining (MRC) technique on resource units (RUs) transmitting identical data, an approach that significantly reduces consecutive frame loss and bolsters reliability. We validate our innovative approach via comprehensive simulations using the MATLAB WLAN toolbox, demonstrating its robustness and effectiveness. Our research aims to augment real-time responsiveness in industrial wireless networks.