Real-time equivalent productivity prediction method based on pilot multi-dimensional condition data

Abstract

The invention discloses a real-time equivalent productivity prediction method based on pilot multi-dimensional condition data. The real-time equivalent productivity prediction method specifically comprises the following steps: S1, extracting influence factors causing the reduction of the productivity of an aircraft captain or a co-driver based on the historical production data of a pilot; S2, according to the equivalent type, determining the value of the influence factor of each influence factor for each individual, and generating an influence factor matrix according to the value; S3, according to the numerical value of the influence factor, obtaining the equivalent productivity of all single individuals; and S4, based on the personal equivalent productivity, obtaining group equivalent productivity. The real-time equivalent productivity prediction method researches and develops a method for predicting the equivalent productivity, based on pilot multi-dimensional condition data combination, helps an operation unit to master and measure the equivalent productivity, and provides rapid and accurate data support for reasonable arrangement of unit resources in aviation.

Description

technical field [0001] The invention relates to the field of pilot management, in particular to a real-time equivalent productivity prediction method based on pilot multidimensional condition data. Background technique [0002] Pilots are the core assets of airlines. According to airline estimates, every additional flight hour per pilot will create a marginal contribution of about 43,000 yuan for the company. The flight crew consists of at least one captain and one co-pilot. The Civil Aviation Administration of China has expressly stipulated the maximum productivity of the flight crew. The latest "Large Aircraft Public Air Transport Carrier Operation Qualification Certification Rules" (CCAR-121-R5) requires that the flight time of the pilots in the crew should not exceed 900 hours in any calendar year. . In the actual production operation, the productivity of pilots may not be fully utilized due to various reasons, such as qualification restrictions, suspension due to illn...

AI Technical Summary

Problems solved by technology

In the actual production operation, the productivity of the pilot may not be fully utilized due to various reasons, such as qualification restrictions, suspension due to illness or reasons, and administrative positions, etc.

In this case, if the airline plans and arranges operations according to the maximum productivity, it may not only lead to compliance risks, but also affect the airline's capacity and cause economic losses

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