Task scheduling method for intelligent fire-fighting management service platform

Abstract

The invention discloses a task scheduling method for an intelligent fire-fighting management service platform, and relates to the technical field of fire-fighting informationization, and the method comprises the steps: collecting environment data and position coordinates, constructing a support vector machine (SVM) model, carrying out the task grade division of a monitoring region, and forming a task priority list; extracting a historical inspection record, calculating a deviation value between task completion duration and standard duration in the historical inspection record as an efficiency coefficient, and performing grade grouping on firefighters according to the efficiency coefficient; the position coordinates are converted into task distance parameters, the task matching degree is calculated in combination with the efficiency coefficient, a two-way selection queue is established, and firefighters are matched for the monitoring area according to a task priority list; and recording a task execution track of the firefighter through a positioning module, recording execution data of the task to a historical inspection record, and updating an efficiency coefficient to form a task scheduling mechanism. Through multi-dimensional data analysis and a dynamic evaluation mechanism, the task scheduling efficiency of the fire-fighting management platform is improved.

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