In superconducting Quantum Measurement and Control （QMC）， the interval between consecutive measurements （referred to as the measurement gap） is a critical phase in the control sequence. It is typically configured to be several times the qubit energy relaxation time， significantly exceeding the duration of actual signal transmission and acquisition， which results in substantial idle waiting time. To address this issue， a variable trigger-based optimization method was proposed. Firstly， a temporal model of the QMC process was established， and the trigger period was identified as the key factor limiting throughput. And experimental results further verified a “non-sensitive interval” of QMC’s effectiveness to the trigger period. Based on this， a mechanism was designed to adjust the trigger period dynamically according to the actual qubit relaxation time without specialized chip design required by Reset gate or extremely low-latency control equipment needed in Restless measurement. Simulation results show that for typical system with relaxation time values between 100 μs and 500 μs， the proposed method can improve the throughput of QMC by 2-6 times， compared to the conventional method using a fixed trigger period （4 times of relaxation time）. When relaxation time is increased to 1 000 μs， the predicted throughput is improved by 10 times approximately with QMC’s effectiveness not damaged. It can be seen that the proposed method provides a software-level solution to enhance the measurement and control efficiency of large-scale superconducting quantum systems without hardware modifications and being easy to integrate and deploy， demonstrating significant practical value.