This application discloses a personnel scheduling early warning method and
system based on job tolerance surface
adaptation. By acquiring job duty characteristic data of the target security inspection post within the target duty window, job duty representation data representing the task status and control status is formed. This data is then used to generate a job suitability sensitivity matrix and duty window constraint data through job suitability sensitivity mapping in a six-dimensional job
performance status space. A first job suitability margin surface is calibrated using the job suitability sensitivity matrix, and the duty window constraint data is loaded onto the first job suitability margin surface to form a second control margin surface, thereby constructing job
adaptation surface data. Combined with the current and previous job
performance status data of the target personnel, a job
adaptation projection sequence and job suitability margin occupancy data are formed. Based on this, job suitability status, dimensional attribution data,
job assignment early warning
control data, and
job assignment early warning evidence data are determined, thereby improving the job suitability accuracy, dynamic early warning timeliness, and early warning result
traceability of security personnel scheduling early warning.