Intelligent analysis system applied to ethology of various kinds of high-density minimal polypides

An intelligent analysis system applied to ethology of various kinds of high-density minimal polypides, comprising an operating platform subsystem and an analysis subsystem;

• wherein the operating platform subsystem is used for providing an activity medium capable of obtaining behaviors of the minimal polypides and shooting the behaviors of the minimal polypides;
• the analysis subsystem comprises a behavior collecting module, an analysis modeling module, a simulation predicting module and a visual demonstrating module;
• the behavior collecting module is used for obtaining an ethology video of the high-density minimal polypides through the operating platform subsystem;
• the analysis modeling module is used for obtaining ethology big data of various kinds of high-density minimal insects according to the ethology video, and establishing an ethology model based on the ethology big data;
• the simulation predicting module is used for dynamically predicting comprehensive control strategies and control effects of minimal pests in a field ecosystem according to the ethology model;
• the visual demonstrating module is used for displaying the ethology video, the ethology model and the comprehensive control strategies and effects;
• the analysis modeling module comprises a biological individual identification unit, a biological individual behavior unit and a modeling unit;
• the biological individual identification unit is used for identifying biological individuals in the ethology video according to biological characteristics;
• the biological individual behavior unit is used for analyzing behavioral actions of the biological individuals and obtaining the ethology big data of the biological individuals;
• the modeling unit is used for establishing the ethology model according to the ethology big data;
• the modeling unit comprises an ethology linear model and an ethology nonlinear model;
• the ethology linear model comprises a movement speed, a movement trajectory, an attack behavior and a predation behavior of the biological individuals;
• first, a behavior trajectory diagram of each biological individual is drawn to obtain ethology parameters of the biological individuals, and the ethology parameters comprise a movement speed, an angle change and an instantaneous speed change;
• and then the ethology linear model is established, comprising a movement rate, an average rate, an instantaneous rate, a step length, the movement trajectory, an attack power, a predation duration, a predation success rate and so on;
• the ethology nonlinear model is established based on the ethology linear model;
• the biological individual behavior unit comprises a positioning subunit and a tracking subunit;
• the positioning subunit is used for positioning position information of a whole process of a biological individual behavior;
• the individual tracking subunit is used for recording the position information of the whole process of the biological individual behavior;
• and
• the positioning subunit of an individual and the tracking subunit of the individual both adopt a minimal polypide monitoring algorithm.