The monitoring-evaluation-warning of territory spatial planning is not only an important means to supervise and ensure the effectiveness of spatial planning implementation, but also a key support for the evolution of smart planning that is "perceptible, learnable, governable and adaptive". At present, research on monitoring-evaluation-warning of national spatial planning focuses more on mechanism rather than theory, what's more important is that we are lack of a set of scientifically available monitoring-evaluation-warning techniques. In order to solve the above problems, this paper systematically analyzes and discusses the objectives and connotation of monitoring-evaluation-warning of national spatial planning, and on this basis, it constructs an application model system that covers the whole life cycle of monitoring-evaluation-warning of territory spatial planning business supported by new information technologies ("ABC" technology), such as artificial intelligence, big data and cloud computing. Finally, combined with the case of information system construction, the paper introduces the important supporting role of monitoring-evaluation-warning of territory spatial planning model system based on "ABC" technology to realize the territory spatial planning "dynamic monitoring, accurate evaluation and timely early warning". The main conclusions of this paper are as follows: (1) Monitoring, evaluation and early warning of territory spatial planning are indispensable technical links in the implementation and supervision of spatial planning, and the three are logically progressive and technologically support each other. (2) Three kinds of model systems are put forward: the dynamic perception and rapid identification model system of spatial information integrated with multi-source big data, the comprehensive evaluation model system coupling human activities and natural environment, and the land simulation and prediction model system based on artificial intelligence. (3) The practical application of three kinds of models in the information platform such as the territorial space change monitoring system, the smart planning big data decision-making platform and the 'Inteplan' information system for implementation and supervision of spatial planning embodies the important role of the model in territorial space control and governance as well as natural resources supervision.

The reform of territory spatial planning system has put forward new requirements for personnel training, and it is urgent to build a talent training system for territory spatial planning in the New Era. This research uses the potential conflict index (PCI) to study the current professional education situation of territory spatial planning in China, by using the questionnaire survey from the perspective of talent training supply and employer demand. The results show that there are about 261 colleges and universities offering majors related to territory spatial planning in China, which are characterized by diversified opening types, diversified school levels, differentiated degree systems, and the urgent need to improve the master and doctor training system. From the perspective of talent supply, talent training programs have different emphases on the requirements of mastering basic theory of planning due to the differences in subject basis, but all majors show a strong demand for planning tool application, planning practice courses and interdisciplinary knowledge integration. From the perspective of talent demand, employers attach importance to interdisciplinary talents, technical talents with both theory and practice, and professional talents with solid basic theory. This research proposes innovative ideas for the talent training system of territory spatial planning from the aspects of discipline system construction, basic study, application-oriented curriculum construction, professional evaluation mechanism and vocational training channels.