The invention relates to the technical field of health management, in particular to an intelligent diet intervention control method and
system.The intelligent diet intervention control method comprises the following steps that heat,
protein,
sugar and
sodium content data are extracted from a food
database based on user
health data and individual nutritional requirement parameters, difference values of multiple kinds of food under differential constraints are calculated respectively, and the difference values are calculated; deviation scores are formed through accumulation calculation, and a
nutrition deviation
score set is generated. According to the method, multi-level
processing is carried out on food combination through step-by-step screening and dynamic optimization logic, key
nutrition index deviation is extracted based on
health data and individual demands, quantitative scoring is carried out, the degree of
adaptation of food is determined, and diversity is ensured for deviation scoring, combination screening and variation
processing steps. Meanwhile, a non-dominated relation is introduced to remove low-efficiency options, the quality of a recommendation scheme is improved, personalized sorting is performed in combination with user demand weights, food combinations are balanced among
nutrition balance, health constraint and personalized demands, and the health management target is accurately met.