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科技赋能提升空管运行效能 宁夏机场机启动新版电子进程单试运行
Core Insights - Ningxia Airport Company is actively responding to the Civil Aviation Administration's call for "smart air traffic control" by enhancing the collaborative command efficiency between the apron tower and air traffic control tower, marking a significant step towards digital transformation in apron management [1][2] Group 1: Digital Transformation Initiatives - The launch of the new electronic progress sheet system signifies a key advancement in the digital transformation of apron control, aimed at improving airport operational efficiency through technological integration [1] - During the preparation phase, the apron tower command room engaged with the core technical team of the electronic progress sheet developer for a two-week closed training, allowing controllers to practice various operational modules in a simulated environment [1] - Over 300 hours of practical training have been completed by all personnel, achieving a 100% pass rate in system operation assessments [1] Group 2: Risk Assessment and Management - A specialized evaluation team, composed of safety management personnel and experienced controllers, conducted a HAZOP analysis on 23 potential risk points during the system switch, producing a three-dimensional assessment report that includes risk levels, impact scope, and preventive measures [1] - An emergency response manual for the new electronic progress sheet has been distributed to all controllers to ensure preparedness [1] Group 3: System Testing and Optimization - During the trial operation, controllers recorded over 400 system operation data points and identified 12 improvement suggestions, leading to three key optimizations in interface interaction logic and a 40% improvement in alarm response speed [2] - The next phase will involve a two-month full-scene stress test to evaluate the system's stability and reliability under complex operational conditions, such as thunderstorms and widespread flight delays [2] - An operational efficiency evaluation system is being established to quantify indicators across 15 dimensions, including instruction transmission timeliness and human error rates, to support scientific decision-making for the system's official launch [2]