Method and system for processing man-hour data based on isolated forest algorithm

Abstract

The invention discloses a man-hour data processing method and system based on an isolated forest algorithm, and the method comprises the steps: calling man-hour data from a database, and constructing an equipment man-hour data package through the called man-hour data; judging whether the equipment man-hour data packet contains blind area compensation data or not, and rejecting the blind area compensation data; constructing a linear regression model by taking the data generation time and the equipment working time as observation points, screening abnormal man-hour data, and rejecting the abnormal man-hour data; screening abnormal point data by using an isolated forest algorithm, and rejecting abnormal man-hour data; and calculating the working time of the equipment by adopting a gradual difference method, and outputting a calculation result. Through the technical scheme of the invention, the working time of the equipment can be accurately and quickly calculated by using the working hour data, so that the equipment management is more efficient.

Description

technical field [0001] The invention relates to the field of data processing of the Internet of Things, in particular to a method and system for processing man-hour data based on an isolated forest algorithm. Background technique [0002] With the rapid development of Internet of Things technology, remote monitoring of construction machinery and equipment has become one of the most convenient management methods for lessors or OEMs. Equipment monitoring mainly obtains the working hours data uploaded by the engine frequently, and calculates the working hours of the equipment through the uploaded working hours data, which is convenient for equipment management. [0003] After retrieval, the Chinese patent with publication number CN111924768A disclosed a device and method for monitoring and reminding forklift drivers on November 13, 2020. The device includes a steering wheel monitoring module, a handle monitoring module, a pressure monitoring module, Timing module, monitoring d...

AI Technical Summary

Problems solved by technology

[0006] The end-to-end subtraction method is aimed at the case of intermediate data jumps, and the problem of excessive data loss will occur, resulting in the calculated daily working hours being less than the actual working hours; the gradual difference method is aimed at the situation of continuous data jumps, and abnormal data will participate in the final statistics , causing the calculated daily working hours to be greater than the actual working hours

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