Table 2.

Fire emergency response (FE)-CMM classification.

Grade	General Characteristics	Process Management	Information Management	Resource Management	Time Management
Initial level	The fire emergency process is disordered, and the method is rough	Lack of emergency rescue process	Information clutter, lack of information acquisition, and application capabilities	Resource management is confusing; resource decision-making and deployment rely on personal feelings	Insufficient knowledge about the rescue time, and no control over it
Growth level	Establishes a basic fire emergency response process; however, the process is not very normative	The emergency process is fixed and more effective	Establish a more stable information management system; the ability to access and apply information	Establish a basic resource management system and make decisions and allocate resources according to basic principles	Ability to preliminarily judge temporal needs and priorities based on experience
Standard level	Standardization of fire emergency procedures	The emergency process is intact, and a written document is formed	Ability to effectively obtain the required information and use it to guide rescue	Resource management forms a fixed method and process, and resource allocation and decision-making follow	Can better control time and standardize operations
Quantifying level	The process can be controlled by a quantitative method	Metrics are established and the process can be quantitatively analyzed	Compare the information acquisition and application of methods; analyze existing problems	Use quantitative methods to assist resource allocation and decision-making	Control the optimal time and actual time according to the quantitative method
Optimization level	Ability to use science and technology to optimize processes	Quantitative analysis results and new techniques are applied for process optimization	Information dynamic tracking, storage, continuous optimization of information acquisition, and application	Optimize resource allocation continuously and dynamically to improve the scientific decision-making of resources	Ability to continuously optimize and spend the actual time spent