Building an open real-time monitoring system for integrated meteorological services and comprehensively improving the operational quality and efficiency of meteorological services is an important task for the development of meteorological informatization. The scope of meteorological integrated business monitoring includes multiple business fields such as forecast, prediction, observation, information, and public services. The monitoring function covers multiple aspects such as meteorological data, meteorological business applications, and infrastructure resources. The monitoring data have a wide range, diverse content, and intensive transmission, with a massive expansion in quantity and capacity. Establishing a standardised access mechanism for monitoring data has become a key factor in ensuring that complex and diverse monitoring data can be efficiently, completely, and accurately collected into the real-time monitoring system, and achieving integrated monitoring for meteorological comprehensive service. Upon the CIMISS-MCP monitoring data framework, this article designs a scalable monitoring data content model based on standardised data classification. Firstly, based on the content and application characteristics of the monitoring data, the meteorological business integrated monitoring data is divided into three categories: event information, status information, and indicator data, and their meanings are defined separately. Secondly, for each category of monitoring data, by analysing and summarising the business connotation of massive monitoring information, the necessary attribute items are extracted, forming a universal model composed of data identification domain and data attribute domain. Thirdly, considering the significant specificity of data attribute domain content due to the differences in monitoring objects and monitoring requirements, attribute items are defined for typical data domain content of event information required for core monitoring functions such as meteorological data full process monitoring, meteorological business application task monitoring, and centralised alarm monitoring. This model adopts various scalability elements in the design of general and typical attributes, which has good universality and scalability characteristics. It is widely applied in the construction of the “Meteorological Integrated Real-time Monitoring System” of the China Meteorological Administration, achieving the generation, collection, storage, calculation, service, and publication display of massive monitoring data, and well supporting various functions of the meteorological integrated monitoring business. At the same time, it is widely applied in the localisation and functional expansion of business monitoring systems in various provincial meteorological data centres and shows positive benefits. The design and application of this model effectively ensure the efficient and stable operation of meteorological information business, laying a solid data foundation for service-oriented and intelligent operation and maintenance of meteorological big data centres in the era of intelligent meteorology.