射电天文台址无线电环境关乎着观测数据质量的好坏，长期的无线电环境评估是有效判断、预估观测投入-产出比的有效方案。目前短时偶发性干扰、低轨空间卫星给射电天文带来巨大的影响，也给无线电环境测量提出了新的要求，即兼顾短时、高仰角等各种数据的综合评估。. 本项研究提出采用多综合数据评估无线电环境的方案，首先通过软件无线电技术捕捉短时无线电干扰，即分钟量级的暂现干扰测量；其次，通过多点分布天线-干扰定位技术获得高仰角干扰的出现信息，包括仰角、频率、功率密度；最后，融合目前多重无线电环境测量数据作为输入条件，包括射电天文保护频点、可用观测频段内带宽及背景噪声、暂现干扰、高仰角干扰、固定干扰频点等一系列数据，根据不同射电源的观测要求构建深度学习网络，获得不同观测目标的预计效果，提出在不同无线电环境情况下最优的观测方案。. 通过本项研究，建立综合评估预测体系提高望远镜观测效率。

The radio environment of a radio observatory site is related to the quality of observation data. Long-term radio environmental assessment is an effective method to estimate and estimate the input-output ratio.At present, all kinds of occasional interferences and low orbit satellites bring great influence to radio astronomy, and a new requirement is put forward for radio environment measurement, that is, the comprehensive evaluation of short-term and high elevation data..In this study, a scheme is proposed to evaluate the radio environment based on multi-integrated data. At first, Short-time radio interference is captured by software radio technology, that is, the measurement of transient interference in the order of minutes. The second, the information of high elevation radio frequency interferences, including elevation Angle, frequency and power density, is obtained by multi-point distributed antenna - interference positioning technology. The last, Fusion multiple radio environment measurement data as input conditions at input conditions, including radio astronomy to protect frequency bands, available spectrum bandwidth and the background noise and transient interferences, high elevation frequency interferences, fixed band frequency interferences and a series of data , according to the observation of different radio source observation constructions of deep learning network, for different expected effect of observation targets, proposed under the condition of different radio environment observations of the optimal solution..Through this study, a comprehensive evaluation and prediction system will be established to improve the observation efficiency of radio telescopes.