Due to the using of large-scale mining equipment and the improvement of production management level in recent decades，long-term mining has led to the depletion of shallow mineral resources. Because of the complex geological conditions and high ground stress in deep mining，high-energy rock burst，earthquake，large-area goaf instability and other dynamic disasters are more likely to occur in the process of deep mining.Moreover，these geological hazards are difficult to accurately predict and prevent by traditional monitoring techniques.Micro-seismic monitoring technology can monitor micro-seismic events in the form of elastic waveforms released by rock mass during deformation and fracture in real time.It can also determine the location and energy parameters of micro-seismic events，so as to evaluate the safety of rock mass activity and stability.This is the main monitoring means of dynamic disasters in existing mines，and has been widely used in engineering fields with high risk of rock burst.The mining depth of Linglong gold mine in Shandong has exceeded 1 000 meters，and a micro-seismic monitoring system has been built in the deep part of the mine.Layout of network is the first and most important part of the construction of micro-seismic monitoring system，and it is the key factor affecting the effect of micro-seismic monitoring.Generally，that is need to be focused on are technology and economy factors.Technology is feasible to ensure the accuracy of monitoring data within the scope of system monitoring.Economy is reasonable to ensure that equipment and construction costs are reasonable.Due to the complexity of underground engineering，the layout of micro-seismic monitoring network is greatly limited，so it is usually necessary to compare several schemes to select the most suitable one.However，because the program optimization of micro-seismic monitoring system is a comprehensive evaluation problem involving multiple indicators，the traditional empirical analogy method is more subjective and difficult to achieve quantitative judgement.Based on the principal component analysis （PCA），a comprehensive optimization analysis model for micro-seismic monitoring network was established.First，a scientific and reasonable evaluation index system needs to be established.When determining the evaluation index，the principal component analysis can eliminate the influence of the correlation among the indicators，and does not need to consider the independence of the indicators.At the same time，it can simplify the data structure of the evaluation index and transform it into a few comprehensive indicators.Therefore，it is necessary to fully and comprehensively consider the various influencing factors in the system construction and operation stage，and try to select more evaluation indicators to make the evaluation results more comprehensive and accurate.Based on the actual situation of the construction and operation of the micro-seismic monitoring system in the Dakaitou mining area of Linglong gold mine，and combined with the evaluation parameters of previous related projects，eight indicators were selected from two aspects of economic and technical conditions to build a comprehensive evaluation index system.After the calculation of the model，eight original indicators were replaced by two new composite indicators，and the latter included about 91.9% information of the original data，which greatly simplifies the data structure of the scheme evaluation.Finally，based on the difference of the original data itself，the information contribution rate is used as the weight coefficient of the new comprehensive index，which avoids the error of subjective weight.It is a more scientific and simple weighting method.The comprehensive evaluation value of each scheme is calculated，and the scheme Ⅲ with the comprehensive evaluation value of 0.71 was the optimal scheme.The principal component analysis model provides a concise and effective comprehensive evaluation method for the optimization of micro-seismic monitoring network schemes.