CN119228226A - A method and system for evaluating flight line operation safety - Google Patents
A method and system for evaluating flight line operation safety Download PDFInfo
- Publication number
- CN119228226A CN119228226A CN202411760656.3A CN202411760656A CN119228226A CN 119228226 A CN119228226 A CN 119228226A CN 202411760656 A CN202411760656 A CN 202411760656A CN 119228226 A CN119228226 A CN 119228226A
- Authority
- CN
- China
- Prior art keywords
- threat
- operation safety
- route operation
- error
- index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Biology (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Primary Health Care (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
本发明公开了一种航线运行安全评估的方法及系统。该方法包括如下步骤：根据航线运行安全检测主题，构建航线运行安全检测要素库和检测要点库，通过结构化设计形成航线运行安全检测计划；基于航线运行安全检测计划进行实施航线运行安全检测，并对采集的航线运行安全检测数据进行清洗分类；设计评估指标，将威胁信息和差错信息与多种预设特征相关联，以形成评估指标体系，为后续飞行安全管理提供决策依据。本发明通过将航线运行安全检测计划拆解为检测要素和检测要点，并设计安全评估指标，通过代表性评估指标对飞行员的多项核心胜任力进行评估，不仅确保航线运行安全检测的有效性，也提高了航线运行安全数据的利用率。
The present invention discloses a method and system for evaluating the safety of flight operations. The method comprises the following steps: constructing a route operation safety detection element library and a detection key point library according to the route operation safety detection theme, and forming a route operation safety detection plan through structured design; implementing route operation safety detection based on the route operation safety detection plan, and cleaning and classifying the collected route operation safety detection data; designing evaluation indicators, associating threat information and error information with a variety of preset features to form an evaluation indicator system, and providing a decision-making basis for subsequent flight safety management. The present invention decomposes the route operation safety detection plan into detection elements and detection key points, and designs safety evaluation indicators, and evaluates multiple core competencies of pilots through representative evaluation indicators, which not only ensures the effectiveness of route operation safety detection, but also improves the utilization rate of route operation safety data.
Description
Technical Field
The invention relates to a method for evaluating the safety of an air route operation, and also relates to a system for evaluating the safety of the air route operation, belonging to the technical field of flight safety evaluation.
Background
Line Operation SAFETY ASSESSMENT, LOSA for short, is a data-based security management method. It involves the collection of safety data such as environmental conditions, operational complexity, flight crew performance, etc. by professional and trained inspectors on regular flights. These data assist airlines in assessing the advantages and disadvantages of flight operations and provide a comprehensive assessment of crew technical and non-technical capabilities. Because of the numerous elements and processes involved in airline operations, there are a number of threats and errors that may be correlated with each other, making it difficult for conventional security assessment methods to effectively assess security risks in terms of organizational management, crew collaboration, program execution, and the like.
When the airline company performs the security assessment of the airline operation, the detection key points are determined according to the actual operation of the airline company, and security data including airport risks, season and environmental characteristics, personnel skill defects, poor flight habits, organization management and the like are collected. The design of the safety detection data and the evaluation index of the air route operation requires professional personnel, and the threat and the error involved in the implementation process are complicated and dispersed, and the efficiency is low by adopting the direct detection and the traditional data statistics method, so that the quality and the expected effect cannot be ensured.
In the implementation process of the airline operation safety of the airlines, factors such as operability, inspector evaluation consistency, data reliability, data accuracy and the like have great influence on the effect. For example, medium-sized airlines may have more than thousands of pilots, and about 10 inspectors may be required to detect at least 100 legs when performing an airline operation safety assessment for one model of flight operation. In order to avoid repeated detection of the same set of units, each inspector detects 2 aviation segments every day, the short-term detection period is 4 days, and long-term detection can last for 3-8 weeks. In the whole process, management personnel, inspectors, data analyzers and the like need to understand and execute inspection data, inspection data standardization and evaluation indexes consistently, and the traditional direct inspection and data statistics method is difficult to realize.
Disclosure of Invention
The invention aims to provide a method for evaluating the safety of the operation of an air route.
Another technical problem to be solved by the present invention is to provide a system for evaluating the safety of the operation of an air route.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
According to a first aspect of an embodiment of the present invention, there is provided a method of route operation security assessment, comprising the steps of:
forming a route operation safety detection plan according to the route operation safety detection subject;
Detecting according to the route operation safety detection plan to obtain route operation safety detection data;
Performing data cleaning on the route operation safety detection data to remove invalid data;
acquiring threat information and error information according to the cleaned route operation safety detection data;
based on the threat information, calculating threat indexes corresponding to various threat information according to a first preset algorithm, and based on the error information, calculating error indexes corresponding to various error information according to a second preset algorithm;
Based on a plurality of preset features, respectively matching each preset feature with each threat index or each error index to obtain a mapping relation between each preset feature and each threat index or each error index as an evaluation index of each preset feature, so as to form an evaluation index system;
Evaluating a plurality of core competence of a pilot based on the evaluation index system to output current levels of the core competence of the pilot, wherein the current levels of the core competence correspond to a route operation safety evaluation index of one dimension;
And comprehensively outputting the route operation safety evaluation result of the route operation safety detection subject based on the route operation safety evaluation indexes of each dimension.
According to a second aspect of an embodiment of the present invention, there is provided a system for performing a security assessment of an airline operation, comprising a processor and a memory, wherein the memory is coupled to the processor for storing a computer program which, when executed by the processor, causes the processor to implement the method for performing a security assessment of an airline operation as described above.
Compared with the prior art, the invention forms a structured route operation safety detection plan by constructing the route operation safety detection element library and the detection point library, and effectively collects and cleans route operation safety detection data. According to the method, the threat information and the error information are analyzed, and the preset characteristics are combined to form an evaluation index system, so that the core competence of a pilot is evaluated, and the route operation safety evaluation result is output. The process not only improves the effectiveness and the data utilization rate of the safety detection of the operation of the air route, but also provides scientific decision basis for the safety management of the flight by comprehensively evaluating the technical and non-technical competence of the pilot, thereby being beneficial to identifying potential safety hazards, optimizing the flight operation and improving the safety level of the flight. In addition, the invention provides data support for pilot training by quantifying the evaluation result, and further enhances the practicability and operability of flight safety evaluation.
Drawings
FIG. 1 is a flow chart of a method for evaluating operational safety of an airline according to a first embodiment of the present invention;
FIG. 2 is a flow chart illustrating the formation of an airline operation safety inspection plan according to a first embodiment of the present invention;
FIG. 3 is a flow chart illustrating the cleaning and classifying of the safety inspection data of the air line operation according to the first embodiment of the present invention;
FIG. 4 is a flowchart illustrating a process for forming an evaluation index system according to a first embodiment of the present invention;
FIG. 5 is a schematic diagram of a system architecture for performing security assessment of an airline run according to a second embodiment of the present invention;
FIG. 6 is a schematic diagram of a system for evaluating operational safety of an air line according to a third embodiment of the present invention.
Detailed Description
The technical contents of the present invention will be described in detail with reference to the accompanying drawings and specific examples.
The technical conception of the embodiment of the invention is that the safety of the air route operation is evaluated by a structuring and systemizing method, firstly, an air route operation safety detection element library and a detection essential point library are constructed according to the theme of the air route operation safety detection, and a detailed air route operation safety detection plan is formed. Then, performing the line operation safety detection, collecting relevant data, and cleaning and classifying the relevant data to ensure the validity of the data. Then, by correlating threat information and error information in the cleaned data with preset features (such as flight phase, airport, route, role, etc.), an evaluation index system is designed, so that the technical and non-technical core competence of the pilot is comprehensively evaluated. Finally, based on the evaluation index system, the current level of each core competence of the pilot is output, and the route operation safety evaluation result is comprehensively output, so that decision basis is provided for flight safety management, and the safety and efficiency of the route operation are improved.
First embodiment
As shown in FIG. 1, a first embodiment of the present invention provides a method of airline operational security assessment. The method at least comprises the following three steps of firstly constructing an air line operation safety detection plan, secondly executing air line operation safety detection according to the plan, cleaning and classifying collected air line operation safety detection data, and finally associating a data result after cleaning and classifying with various preset characteristics (such as a flight phase, an airport, an air line, a role and the like, and other characteristics can be included), constructing a behavior evaluation index system, outputting an air line operation safety evaluation result corresponding to an air line operation safety detection theme, and providing decision basis for subsequent flight safety management.
The following describes the specific implementation of these steps in detail:
S10, constructing an airline operation safety detection element library and a detection point library according to the airline operation safety detection theme, and forming an airline operation safety detection plan through structural design.
Specifically, as shown in fig. 2, the method includes steps S1 to S3:
s1, designing a plurality of route operation safety detection elements related to the route operation safety detection subject according to the route operation safety detection subject to construct a route operation safety detection element library.
Specifically, the method further comprises the substeps S11-S17:
s11, designing flights and unit information as first detection elements based on flight detection requirements;
S12, designing unit performances of each flight stage as second detection elements based on flight detection requirements;
S13, designing a threat management mode as a third detection element based on threat management requirements;
s14, designing an error management mode as a fourth detection element based on the error management requirement;
S15, designing a UAS management mode as a fifth detection element based on UAS (Undesired AIRCRAFT STATE) management requirements in an unexpected aviation state;
S16, designing a technical description of the unit as a sixth detection element based on the technical capability assessment requirement of the unit;
S17, constructing a safe detection element library for the course operation according to the first detection element, the second detection element, the third detection element, the fourth detection element, the fifth detection element and the sixth detection element.
S2, designing a plurality of detection points based on each route operation safety detection element to construct a route operation safety detection point library.
Specifically, the method comprises the following substeps S21-S27:
s21, designing a plurality of first detection points based on the first detection elements.
The first detection points at least comprise a departure landing airport, an aircraft model, a flight experience of the unit, a post service life, a familiarity degree of the unit and whether to manage the post.
S22, designing a plurality of second detection points based on the second detection elements.
The second detection points at least comprise whether the safety check is in place before taking off, whether the pilot operation is standard and outstanding or insufficient places for each flight phase of the unit.
In particular, the performance of the unit operation is described and recorded in terms of flight phases by detecting that such performance is recorded as structured data. Such as whether management is being performed for a particular threat or error, who is being managed, whether management is valid, etc. According to the detection gist of each flight phase, the detection elements are disassembled and refined, for example, the flight phase can be divided into a pre-flight preparation phase, a cockpit preparation phase, a push-out and slide-out phase, a take-off phase, a climbing phase, a cruising phase, a descending phase, a near landing phase, a slide-in phase, a closing phase and special condition response treatment. For another example, the detection gist of the cockpit preparation includes the execution time of the inspection sheet, the execution time set fix degree of the inspection sheet, the reading definition of the inspection sheet, the answer definition of the inspection sheet, the confirmation implementation degree of the inspection sheet, and the like.
S23, designing a plurality of third detection points based on the third detection elements.
The third detection points at least comprise threat classification, detailed description of various threat management and description of whether the threat management is caused or not.
And forming detection data through the decomposition of the whole threat management process, so as to provide data support for the security assessment index. For example, the detection element threat management manner may be subdivided into various types of detection gist, where the threat management manner related to an Air Traffic Controller (ATC) is defined as threat management by the ATC, and may be further subdivided into several types of detection gist, such as whether the ATC instruction is managed, how to manage, whether to cause a result, whether the ATC instruction content is managed, how to manage, whether to cause a result, whether the ATC instruction is managed later, how to manage, whether to cause a result, and so on.
The unit is difficult to monitor and evaluate in the safety management methods such as flight quality monitoring, four-dimensional track monitoring, safety inspection and the like according to the performance conditions of the threats, but can be used as an explicit detection key point for detection and data recording during the safe detection of the operation of the airlines. For each detection point, corresponding detection data needs to be recorded, and the specific form of the detection data needs to be determined according to the content of the detection point. For example, as mentioned above, the frequently changing ATC instructions are managed, how managed, and result in a result, corresponding to a series of test data records, including the number of times the ATC issues instructions for critical flight phases (including take-off, approach, and landing) N ATC, the minimum time interval of the two ATC instructions for the critical phase I ATC, whether the threat is managed T ATC, who manages the threat (captain, co-driver, crew, etc.), the literal description of the management mode, the classification of the result (no result, UAS, event, symptom, accident) parameters (e.g., may be assigned 0,1,2,3,4, respectively), the literal description of the result.
In addition, threat management brought by ATC also comprises threat management modes such as more instruction content, later change instruction and the like, the management conditions of threat classification are all included in a detection key point library, and detection data corresponding to each threat are collected through the safety detection of the operation of the air route.
And S24, designing a plurality of fourth detection points based on the fourth detection elements.
The fourth detection points at least comprise classification of errors, detailed description of various error management and description of whether the errors result.
Specifically, the errors possibly exhibited by the unit are classified in a structured manner, and a inspector describes and explains the management mode and whether the errors are caused or not when each flight is detected. The errors here may occur either by the captain or by the co-pilot, or by the crew, and the crew-common errors provide data preparation for the evaluation indicators associated with the subsequent character features.
And S25, designing a plurality of fifth detection points based on the fifth detection elements.
The plurality of fifth detection points at least comprise classification of UAS, detailed description of various UAS management and description of whether the UAS management results are caused or not.
S26, designing a plurality of sixth detection points based on the sixth detection elements.
The sixth detection points at least comprise whether the manipulation of each flight phase meets the standards of an airline company, recording and evaluating the resource management behavior capability of a unit, and suggesting improvement of safety, training and flight.
And S27, constructing and forming an airline operation safety detection point library according to the plurality of first detection points, the plurality of second detection points, the plurality of third detection points, the plurality of fourth detection points, the plurality of fifth detection points and the plurality of sixth detection points.
And S3, carrying out structural design based on the route operation safety detection element library and the route operation safety detection essential point library to form a route operation safety detection plan.
In one embodiment of the invention, as shown in FIG. 2, a standard library of test elements and a library of test points are created by disassembling the components of the line operation safety test elements and test points. The function of the detection element library is to define the composition, classification and data format of the detection elements by establishing the classification specification of the detection elements, and the detection elements are independently managed, independently expanded and independently used. The standard detection element specification can normalize and standardize the detection data corresponding to the detection element when constructing an evaluation index scene. By constructing a detection key point library, the key points of the detection elements are thinned and split, and basic detection key points are defined and normalized to construct a complete detection plan.
And S20, performing route operation safety detection based on the route operation safety detection plan, and cleaning and classifying the collected route operation safety detection data.
Specifically, as shown in fig. 3, the method includes steps S4 to S6:
And S4, implementing the route operation safety detection based on the route operation safety detection plan, and collecting route operation safety detection data.
It can be understood that in the embodiment of the invention, through fine classification and structured data acquisition, the man-hour of personnel is reduced by 6-10 times, and the analysis processing task of all the airline operation safety detection data of the company can be completed by only 1-2 people, so that the data quality is ensured to completely meet the requirements of subsequent analysis and utilization.
For example, according to a traditional route operation safety detection mode, according to a 2000 pilot's flight, the number of flight segments detected by an inspector is 200, the analysis and processing of detection data need 300 hours of personnel man-hours, the subsequent pilot flight capacity analysis needs about 200 hours of personnel man-hours, and the two working links can be completed only in a total of about 3 persons for 1 month. The data acquisition mode of the embodiment of the invention can complete the analysis processing of the route operation safety detection data and the flight capability analysis of the pilot only by 1 person for 2 weeks.
And S5, data cleaning is carried out on the route operation safety detection data so as to remove invalid data.
In one embodiment of the invention, the inspector first performs a data self-inspection and the other inspectors perform cross-inspection to complete the data self-inspection process.
The collected line operation safety inspection data is then cleaned and normalized by an auxiliary analyst to clean data that is significantly devoid of element descriptions and threat error signatures.
And finally, rechecking the quality of the route operation safety detection data by an auditor.
Therefore, the effectiveness of the safety detection data of the washed route operation is ensured through the processes of data self-checking, data washing and data rechecking.
S6, acquiring threat information and error information according to the cleaned route operation safety detection data.
Specifically, after the data is washed, the washed data needs to be classified according to the detection key points, so that information which has threat (namely threat information) and information which has errors (namely error information) are obtained.
It will be appreciated that threat information and error information in embodiments of the invention may originate from a variety of aspects, including, but not limited to, the following:
threat information
(1) Severe weather, such as strong wind, storm, lightning, hail, haze, etc., may pose a direct threat to flight safety. In particular, this type of threat information requires the acquisition of weather data, such as wind speed, air humidity, visibility, etc.
(2) Topography factors, such as complex terrain, e.g., mountains, canyons, lakes, etc., may affect the flight path and altitude, increasing the difficulty and risk of flight. In particular, this type of threat information requires the acquisition of terrain data, such as current flight level, mountain height, canyon width, etc.
(3) Air traffic, air or ground traffic congestion, may result in flight collisions and dangerous approaching events. In particular, this type of threat information requires the acquisition of data on the flight path of other aircraft, the number of aircraft in the vicinity, the distance to neighboring aircraft, etc.
(4) The failure of the aircraft, namely the failure of the key components such as the engine, the navigation equipment, the communication equipment and the like, can affect the flight performance and the safety. Specifically, threat information of this type needs to be collected as data of the aircraft itself, such as data of the rotation speed, power, communication failure point, and the like of the engine.
(5) External objects such as 'low slow small' lift-off objects like Kongming lights, unmanned aerial vehicles, kites and the like, and organisms like birds and the like can pose a threat to flight safety. Specifically, this type of threat information requires data to be collected such as the size of the external object, the speed of flight, the distance to the machine body, etc.
Error information
(1) Procedural errors-deviations in the execution regulations or flight procedures, intended to be correct, but defective. For example misplacing the angle of the flap, or forgetting to perform some important inspection step.
(2) Communication errors-communication errors, interpretation errors or no related information are communicated between the crewmembers or with external institutions. In particular, this type of error information requires that specific communication content be collected.
(3) Proficiency errors due to knowledge or mental movement (rudder technique) skill defects. In particular, this type of error information requires the acquisition of specific execution steps, for example, the pilot cannot execute the emergency procedure correctly in case of an emergency, requiring the acquisition of specific execution procedures.
(4) Run-decision errors-errors that are not standardized in the conditions or carrier program and that are unnecessary critical to safety. This usually involves a decision error of the crew in complex situations. In particular, this type of error information requires collection of specific decision-making descriptive content that needs to be provided by a decision maker.
(5) Human errors, such as damage to aircraft and parts, ground equipment, facilities, etc., cause economic losses or potential safety hazards. This may be due to carelessness, mishandling or violation of regulations. In particular, this type of error information needs to be collected for the specific description of the error, which is provided by the error personnel.
And S30, designing an evaluation index, and associating threat information and error information with a plurality of preset characteristics to form an evaluation index system, so as to provide decision basis for subsequent safety management.
Specifically, as shown in fig. 4, the method includes steps S7 to S9:
And S7, associating threat information and error information with a plurality of preset features to obtain evaluation indexes of the preset features and form an evaluation index system.
In particular, in one embodiment of the invention, the plurality of predetermined characteristics includes at least a flight phase characteristic, an airport characteristic, an airline characteristic, and a character characteristic. The flight phase characteristics, the airport characteristics and the route characteristics are corresponding to threat information, so that a flight phase threat index, an airport threat index and a route threat index are obtained based on the threat information, and the character characteristics are corresponding to error information, so that character error indexes are obtained based on the error information.
The following describes in detail how to obtain the evaluation index of each preset feature:
(1) For flight phase characteristics
The flight phases are divided into a pre-flight preparation, cockpit preparation, push-out and slide-out phases, a take-off phase, a climb phase, a cruise phase, a descent phase, a near landing phase, a slide-in phase, a shut-down phase and special condition response handling. Based on threat information, threat severity index and threat management index of any one flight stage are calculated to obtain safety performance level of the flight stage based on the difference value of the threat severity index and the threat management index. Thus, the safety performance levels of the various flight phases together constitute a flight phase threat indicator.
For example, for the take-off phase, the number of times of ATC instruction issue N ATC and the minimum time interval I ATC of every two ATC instructions are acquired, the threat severity index St 1 is calculated by means of weighted summation,Wherein, the method comprises the steps of,,The weight coefficients are all, and the greater the value of the threat severity index St 1 is, the greater the security risk generated by the threat is;
The threat management level index Mt 1 is calculated by weighting whether the threat is managed T ATC and the classification parameter R ATC causing the outcome in the departure phase, Wherein, the method comprises the steps of,,The weight coefficients are all, and the greater the value of the threat management degree Mt 1 is, the better the threat management is;
Calculating the corresponding safety performance level in the take-off stage ,-Wherein the safety performance indexThe greater the number of (c), the less security risk.
Also, it will be appreciated that thereafter other types of ATCs may be employed to provide threat-related safety performance levels, such as the safety performance indicators corresponding to threats such as multiple ATC directives, late change directives, etcAndCan be combined withThreat-related safety performance metrics from ATC are collectively described.
(2) For airport features
Dividing the airports into a take-off airport and a landing airport, acquiring the threat number of the take-off airport and calculating the average threat level of the take-off airport based on threat data, and acquiring the threat number of the landing airport and calculating the average threat level of the landing airport based on threat data. Thus, the average threat level of the departure airport and the average threat level of the landing airport together form an airport threat indicator.
(3) For airline characteristics
And respectively calculating the threat rate, the management threat rate and the invalid management threat rate of the airlines based on threat data to threats related to the airlines so as to jointly form an airlines threat index.
Wherein, the airline threat rate = the total number of the airline threats/(the total number of the airline flights; the management threat rate = the total number of the threats managed/(the total number of the airline flights; the invalid management threat rate = the total number of the threats invalid management/(the total number of the airline flights).
(4) For character features
Dividing pilots into pilot pilots and pilot pilots;
The error caused by the captain as the pilot, the error caused by the captain as the monitor pilot, the error caused by the co-pilot as the monitor pilot, the error caused by the crew together, the error found by the captain as the pilot, the error found by the captain as the monitor pilot, the error found by the co-pilot as the pilot, and the error found by the crew together are acquired respectively;
and giving different weights based on different error types so as to respectively calculate error indexes corresponding to various error information.
For the same role, error information directly caused by the role and error information discovered by the role are respectively acquired. Then, the error index corresponding to the error information directly caused by the role is obtained as a first error index, and the error index corresponding to the error information found by the role is obtained as a second error index. And finally, taking the difference value of the first error index and the second error index as a role error index corresponding to the role.
And S8, evaluating the multiple core competency of the pilot based on the evaluation index system to output the current level of the multiple core competency of the pilot.
The above description of the "security assessment index" is merely exemplary. The method and the system show the core logic of designing the evaluation index in the embodiment of the invention, namely, the evaluation index of main characteristics is designed by establishing a data classification rule with the route operation safety detection database, so that an evaluation index system capable of reflecting the flight capability level of a pilot is constructed.
For example, the safety performance indicators described above, such as the occurrence of a series of threats such as frequent command changes by the controllers, too late command changes, busyness of the area, etc., which may be caused by changes in weather conditions at a near stage, will be related to the multiple flight performance of the crew. Specifically, the first, the unit starts communication against the discovered threats, which shows whether the Communication (COM) capability in the core competence of the pilot is wrong, whether the internal communication is wrong or not, whether the external communication is wrong or not, and the combination of the management of the unit on the communication errors can reflect the performance of the unit communication capability, the second, the process of establishing situational awareness in communication is the reflection of the situational awareness and information management (SAW) capability state of the unit, the third, the situational awareness of the unit still possibly can be improved or reduced in the process during communication, meanwhile, the difference of knowledge application capability (KNO) capability, resource coordination capability and workload management (WLM) capability among the units is shown in the construction, the fourth, the basic workload of the unit is increased, the available cognitive resources are insufficient, so that the simplified or insufficient simplified order appears, the implementation of the simplified order is that the situational information management capability of the unit is established and the problem resolution and decision (PSD) process are most intensively reflected, and the fifth, the situational awareness of the unit is not fully performed after the recognition threat is still possible, the situation awareness of the unit is still possibly improved or reduced in the process during communication, and finally the situation of causing the bad interaction between the automatic interaction conditions is completely known, and the automatic interaction conditions are well-known, and the error of the automatic navigation control conditions are controlled by the unit is under the condition of the control of the FPM, and the control of the FPM is not observed.
In one embodiment of the invention, the pilot's core competency may include technical competency and non-technical competency. Among these, technical competence includes application of flight knowledge, application of programs (correct maneuvering of aircraft systems), management of flight lines, etc., and non-technical competence includes communication capacity, compression resistance, perceptibility, decision-making and leadership, etc. It will be appreciated that based on the various points of detection, information such as the classification of the threat, the specific manner of management of the threat, and the number of threats can be determined, thereby correlating threat data with technical competency to assess pilot competency from the technical layer. And, based on a detailed description of various threat management, a description of whether the outcome is caused, the threat data is correlated with non-technical competency to evaluate pilot competency from a cognitive level.
Based on the method, comprehensive judgment of each core competence of the pilot can be realized through multi-azimuth evaluation of the technical level and the cognitive level.
In a preferred embodiment of the present invention, the assessment of the pilot's core competency may be quantified by a numerical value (e.g., percentile data) to output the pilot's core competency assessment results, and then, based on the pilot's core competency assessment results, output a composite assessment result (also percentile data) corresponding to the pilot as the current level of the pilot's core competency after synthesis.
And S9, comprehensively outputting the route operation safety assessment result corresponding to the route operation safety detection theme based on the current level of each core competence of the pilot.
In one embodiment of the invention, it can be determined whether the airline is safe to operate and whether there is a safety hazard, which aspects can be improved and optimized, etc., based on the current level of pilot core competence. And, combining the threat information and the error information acquired in the step S6, thereby comprehensively outputting the route operation safety evaluation result corresponding to the route operation safety detection subject.
Moreover, it can be appreciated that in one embodiment of the present invention, a correspondence between the current level of the core competence and the route operation safety evaluation result may be pre-constructed, for example, the current level of the core competence is 60% or less, the corresponding route operation safety evaluation result is a high risk, the current level of the core competence is 60% -80%, the corresponding route operation safety evaluation result is a medium risk, the current level of the core competence is 80% or more, and the corresponding route operation safety evaluation result is a low risk. In addition, the risk grade can be further refined aiming at the risks of the high, medium and low grades, and particularly the risk grade can be adaptively adjusted according to the needs.
Therefore, after the current level (namely, percentage system data) of the integrated core competence of the pilot is obtained based on the step S8, the route operation safety assessment result corresponding to the route operation safety detection subject can be directly output according to the corresponding relation.
In addition, it can be appreciated that based on the airline operational safety assessment results, which cores of the pilot are inadequate, thereby providing data support for training course scene development for later development of pilot training.
Second embodiment
As shown in fig. 5, a system for evaluating the safety of an air route operation according to a second embodiment of the present invention includes a plan construction module 1, a detection module 2, a data cleaning module 3, an analysis module 4, an evaluation module 5, and an output module 6.
Specifically, the plan construction module 1 is configured to design a plurality of route operation safety detection elements related to the route operation safety detection subject according to the route operation safety detection subject to construct a route operation safety detection element library, design a plurality of detection points based on each route operation safety detection element to construct a route operation safety detection point library, and perform structural design based on the route operation safety detection element library and the route operation safety detection point library to form a route operation safety detection plan.
The detection module 2 is connected with the plan construction module 1 and is used for implementing the route operation safety detection according to the route operation safety detection plan and collecting route operation safety detection data.
The data cleaning module 3 is connected with the detection module 2 and is used for cleaning the data of the safety detection data of the air route operation so as to remove invalid data.
The analysis module 4 is connected with the data cleaning module 3 and is used for acquiring threat information and error information according to the cleaned route operation safety detection data.
The evaluation module 5 is connected with the analysis module 4 and is used for associating threat information and error information with a plurality of preset features to obtain evaluation indexes of the preset features and form an evaluation index system.
The output module 6 is connected with the evaluation module 5 and is used for evaluating the multiple core competence of the pilot based on the evaluation index system to output the current level of the core competence of the pilot, and comprehensively outputting the route operation safety evaluation result based on the current level of the core competence of the pilot.
Third embodiment
Based on the above method for evaluating the safety of the operation of the route, a third embodiment of the present invention provides a system for evaluating the safety of the operation of the route. As shown in fig. 6, the system includes one or more processors and memory. Wherein the memory is coupled to the processor for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of course operation safety assessment as in the above embodiments.
Wherein the processor is configured to control the overall operation of the system to perform all or part of the steps of the method of performing the security assessment of the airline operations described above. The processor may be a Central Processing Unit (CPU), a Graphics Processor (GPU), a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processing (DSP) chip, or the like. The memory is used to store various types of data to support operation in the system, which may include, for example, instructions for any application or method operating on the system, as well as application-related data. The memory may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, etc.
In an exemplary embodiment, the system may be implemented by a computer chip or entity, or by an article of manufacture having a function for performing the above-described method of course operational safety assessment and achieving technical effects consistent with the above-described method. A typical embodiment is a computer or server. In particular, the computer may be, for example, a personal computer, a laptop computer, a car-mounted human-machine interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In another exemplary embodiment, the invention also provides a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the method of course operational safety assessment in any of the above embodiments. For example, the computer readable storage medium may be the memory including program instructions executable by a processor of the system to perform the method of course operational safety assessment described above and achieve technical effects consistent with the method described above.
In summary, the method and system for evaluating the safety of the operation of the air route provided by the embodiment of the invention have the following beneficial effects:
(1) By subdividing the route operation safety detection plan into detection elements and detection points and establishing an independent detection element library and a detection point library, accurate correspondence and independent management of route operation safety detection data are realized. The method remarkably improves the quality and usability of the data through data cleaning and normalization. Furthermore, by designing safety evaluation indexes and associating the indexes with nine core competence of pilots, the invention not only ensures the effectiveness of the safety detection of the air route operation, but also improves the utilization rate of the safety data of the air route operation.
(2) The invention improves the efficiency of the safety management of the flight operation by reducing the difficulty and the workload of the airlines on the safety implementation of the air route operation. The systematic safety data collection and analysis tool makes the safety decision more scientific, thereby improving the level of safety management as a whole.
(3) The invention also enables cost-effective optimisation. Through systematic safety data collection and analysis, the utilization efficiency of the safety data is improved, and safety risk management measures are embodied on the flight capability of pilots. The method not only reduces the implementation cost of the airlines, but also improves the safety level in the pilot training process, and brings long-term safety and economic benefits for the airlines.
It should be noted that the above embodiments are only examples. The technical schemes of the embodiments can be combined, and all the technical schemes are within the protection scope of the invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The method and the system for evaluating the safety of the line operation provided by the invention are described in detail. Any obvious modifications to the present invention, without departing from the spirit thereof, would constitute an infringement of the patent rights of the invention and would take on corresponding legal liabilities.
Claims (10)
1. A method of route operation safety assessment, comprising the steps of:
forming a route operation safety detection plan according to the route operation safety detection subject;
Detecting according to the route operation safety detection plan to obtain route operation safety detection data;
Performing data cleaning on the route operation safety detection data to remove invalid data;
acquiring threat information and error information according to the cleaned route operation safety detection data;
based on the threat information, calculating threat indexes corresponding to various threat information according to a first preset algorithm, and based on the error information, calculating error indexes corresponding to various error information according to a second preset algorithm;
Based on a plurality of preset features, respectively matching each preset feature with each threat index or each error index to obtain a mapping relation between each preset feature and each threat index or each error index as an evaluation index of each preset feature, so as to form an evaluation index system;
Evaluating a plurality of core competence of a pilot based on the evaluation index system to output current levels of the core competence of the pilot, wherein the current levels of the core competence correspond to a route operation safety evaluation index of one dimension;
And comprehensively outputting the route operation safety evaluation result of the route operation safety detection subject based on the route operation safety evaluation indexes of each dimension.
2. The method of claim 1, wherein the threat indicators corresponding to the threat information of each type are calculated according to a first preset algorithm based on the threat information, and specifically comprising:
Calculating threat severity indexes and threat management degree indexes of any one flight stage based on the threat information to obtain safety performance levels of the flight stage based on the difference value of the threat severity indexes and the threat management degree indexes, wherein the safety performance levels of all the flight stages jointly form the threat indexes of the flight stage;
Acquiring the threat number of the take-off airport and calculating the average threat level of the take-off airport based on the threat information, and acquiring the threat number of the landing airport and calculating the average threat level of the landing airport, wherein the average threat level of the take-off airport and the average threat level of the landing airport jointly form an airport threat index;
Based on the threat information, respectively calculating an airline threat rate, a management threat rate and an invalid management threat rate for threats related to the airlines to jointly form an airline threat index, wherein the airline threat rate = the total number of the airline threats/(the total number of the airline flights, the management threat rate = the total number of the managed threats/(the total number of the airline flights, and the invalid management threat rate = the total number of the invalid management threats/(the total number of the airline flights).
3. The method of claim 2, wherein:
The flight phase comprises a pre-flight preparation phase, a cockpit preparation phase, a push-out phase, a sliding-out phase, a take-off phase, a climbing phase, a cruising phase, a descending phase, a near landing phase, a sliding-in phase, a car closing phase and special condition response treatment;
For the take-off stage, acquiring the number N ATC of ATC issued instructions and the minimum time interval I ATC of every two ATC instructions, calculating threat severity index St 1 by adopting a weighted summation mode, Wherein, the method comprises the steps of,,The weight coefficients are all, and the greater the value of the threat severity index St 1 is, the greater the security risk generated by the threat is;
The threat management level index Mt 1 is calculated by weighting whether the threat is managed T ATC and the classification parameter R ATC causing the outcome in the departure phase, Wherein, the method comprises the steps of,,The weight coefficients are all, and the greater the value of the threat management degree Mt 1 is, the better the threat management is;
Calculating the safety performance level corresponding to the take-off stage ,-Wherein the safety performance indexThe greater the number of (c), the less security risk.
4. The method of claim 2, wherein calculating error indicators corresponding to each type of error information according to a second preset algorithm based on the error information, specifically comprises:
Respectively acquiring error types of different roles serving as different pilots, wherein the different roles comprise a captain and a copilot, and the different pilots comprise a pilot and a pilot;
Acquiring a common error type of a unit;
different weights are given based on different error types so as to respectively calculate error indexes corresponding to various error information.
5. The method of claim 4, wherein:
the plurality of preset features at least comprise a flight phase feature, an airport feature, an air line feature and a role feature;
The flight phase characteristics, the airport characteristics and the route characteristics respectively correspond to the flight phase threat indexes, the airport threat indexes and the route threat indexes, and the role characteristics correspond to error indexes corresponding to various error information.
6. The method of claim 5, wherein:
For the same role, error information directly caused by the role and error information found by the role are respectively obtained;
The error index corresponding to the error information directly caused by the role is obtained and used as a first error index, and the error index corresponding to the error information found by the role is obtained and used as a second error index;
and taking the difference value of the first error index and the second error index as a role error index corresponding to the role.
7. The method of claim 1, wherein the forming of the airline operational safety inspection plan based on the inspection topics of the airline operational safety, comprises:
Designing a plurality of route operation safety observation elements related to the route operation safety observation theme according to the route operation safety observation theme so as to construct a route operation safety observation element library;
Designing a plurality of observation points based on each of the route operation safety observation elements to construct a route operation safety observation point library;
and carrying out structural design based on the route operation safety observation element library and the route operation safety observation point library to form a route operation safety observation plan.
8. The method of claim 7, wherein:
The plurality of the route operation safety observation elements at least comprise flight and unit information, unit performance of each flight stage, threat management mode, error management mode, UAS management mode and technical description of the unit;
the observation key points corresponding to the flight and unit information at least comprise a departure landing airport, an aircraft model, a unit flight experience, a post service life, a unit familiarity degree and whether to manage the post;
The observation key points corresponding to the unit performance of each flight stage at least comprise whether the safety check is in place before taking off, whether the pilot operation is standard and excellent or insufficient places made by each flight stage of the unit;
The observation key points corresponding to the threat management mode at least comprise threat classification, detailed description of various threat management and description of whether the result is caused or not;
The observation key points corresponding to the error management mode at least comprise error classification, detailed description of various error management and description of whether the result is caused or not;
the observation key points corresponding to the UAS management mode at least comprise classification of UAS, detailed description of various UAS management and description of whether the result is caused or not;
The technical description of the unit corresponds to observation points including at least whether the operation of each flight phase meets the standards of an airline company, the recording and evaluation of the resource management behavior capability of the unit, and the suggestion of improving safety, training and flight.
9. A system for route operation safety assessment, comprising:
The plan construction module is used for forming a route operation safety detection plan according to the detection subject of the route operation safety;
the data acquisition module is connected with the plan construction module and used for implementing detection according to the route operation safety detection plan so as to acquire route operation safety detection data;
the data cleaning module is connected with the data acquisition module and is used for cleaning the data of the route operation safety detection data so as to remove invalid data;
the analysis module is connected with the data cleaning module and used for acquiring threat information and error information according to the cleaned route operation safety detection data, calculating threat indexes corresponding to various threat information according to a first preset algorithm based on the threat information, and calculating error indexes corresponding to various error information according to a second preset algorithm based on the error information;
the evaluation module is connected with the analysis module and is used for respectively matching each preset feature with each threat index or each error index based on a plurality of preset features to acquire the mapping relation between each preset feature and each threat index or each error index as an evaluation index of each preset feature so as to form an evaluation index system;
And the output module is connected with the evaluation module and is used for comprehensively outputting the route operation safety evaluation result of the route operation safety detection subject based on the route operation safety evaluation indexes of each dimension.
10. A system for performing a security assessment of an airline operation, comprising a processor and a memory, wherein the memory is coupled to the processor for storing a computer program that, when executed by the processor, causes the processor to perform the method of performing a security assessment of an airline operation as claimed in any of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411760656.3A CN119228226A (en) | 2024-12-03 | 2024-12-03 | A method and system for evaluating flight line operation safety |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411760656.3A CN119228226A (en) | 2024-12-03 | 2024-12-03 | A method and system for evaluating flight line operation safety |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN119228226A true CN119228226A (en) | 2024-12-31 |
Family
ID=94069197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411760656.3A Pending CN119228226A (en) | 2024-12-03 | 2024-12-03 | A method and system for evaluating flight line operation safety |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119228226A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170015434A1 (en) * | 2014-07-11 | 2017-01-19 | Cmc Electronics Inc. | System and method for detecting and alerting the user of an aircraft of an impendent adverse condition |
| CN113807649A (en) * | 2021-07-30 | 2021-12-17 | 浙江工商大学 | A Civil Aviation Flight Safety Assessment System Based on Bayesian Network |
| CN115587693A (en) * | 2022-09-23 | 2023-01-10 | 中国民用航空飞行学院 | A Method for Rating Flight Training Quality Based on Observable Behaviors |
| CN117935625A (en) * | 2024-03-22 | 2024-04-26 | 中国民航管理干部学院 | A smart air traffic drone route management system and method |
| CN118446549A (en) * | 2024-05-09 | 2024-08-06 | 淡积云智能科技发展(青岛)有限公司 | Threat scene analysis method and system based on big data |
-
2024
- 2024-12-03 CN CN202411760656.3A patent/CN119228226A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170015434A1 (en) * | 2014-07-11 | 2017-01-19 | Cmc Electronics Inc. | System and method for detecting and alerting the user of an aircraft of an impendent adverse condition |
| CN113807649A (en) * | 2021-07-30 | 2021-12-17 | 浙江工商大学 | A Civil Aviation Flight Safety Assessment System Based on Bayesian Network |
| CN115587693A (en) * | 2022-09-23 | 2023-01-10 | 中国民用航空飞行学院 | A Method for Rating Flight Training Quality Based on Observable Behaviors |
| CN117935625A (en) * | 2024-03-22 | 2024-04-26 | 中国民航管理干部学院 | A smart air traffic drone route management system and method |
| CN118446549A (en) * | 2024-05-09 | 2024-08-06 | 淡积云智能科技发展(青岛)有限公司 | Threat scene analysis method and system based on big data |
Non-Patent Citations (4)
| Title |
|---|
| 朱聃等: "基于主成分分析的机组威胁与差错管理评价模型", 《民航学报》, vol. 04, no. 05, 18 September 2020 (2020-09-18), pages 74 - 79 * |
| 李大伟等: "多不利因素综合作用下飞行风险评估方法研究", 《飞机设计》, vol. 37, no. 05, 15 October 2017 (2017-10-15), pages 7 - 11 * |
| 李彤等: "航线运行评估及其在安全洞察中的作用", 《安全》, vol. 44, no. 04, 30 April 2023 (2023-04-30), pages 36 - 40 * |
| 杨琳: "LOSA——航空安全管理的新方法", 《中国民用航空》, no. 03, 20 March 2003 (2003-03-20), pages 59 - 61 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6840529B2 (en) | Aircraft maintenance and inspection with data analysis expansion | |
| Wang et al. | A method of applying flight data to evaluate landing operation performance | |
| Aliyari et al. | Hazards identification and risk assessment for UAV–assisted bridge inspections | |
| Odisho et al. | Applying machine learning to enhance runway safety through runway excursion risk mitigation | |
| Low et al. | An exploratory study on the effects of human, technical and operating factors on aviation safety | |
| CN117972336A (en) | Flight safety risk assessment method and device, electronic equipment and storage medium | |
| Sun et al. | Risk assessment of unmanned aerial vehicle accidents based on data-driven Bayesian networks | |
| Wang et al. | The effect of psychological risk elements on pilot flight operational performance | |
| Silagyi II et al. | Prediction of severity of aviation landing accidents using support vector machine models | |
| Hsu et al. | Application of rough set theory and bow-tie analysis to maritime safety analysis management: a case study of taiwan ship collision incidents | |
| Wong et al. | The development of a more risk-sensitive and flexible airport safety area strategy: Part I. The development of an improved accident frequency model | |
| Orasanu-Engel et al. | Flight crew decision-making | |
| Nascimento et al. | Helicopter accident analysis | |
| Baugh | Predicting general aviation accidents using machine learning algorithms | |
| Yang et al. | Hybrid early-warning framework for unsafe crew acts detection and prediction | |
| Das et al. | An open architecture for enabling CBM/PHM capabilities in ground vehicles | |
| CN119228226A (en) | A method and system for evaluating flight line operation safety | |
| CN116415818A (en) | Method and system for confirming risk points in aircraft approach stage based on clustering algorithm | |
| Jarvis et al. | Development of a bespoke human factors taxonomy for gliding accident analysis and its revelations about highly inexperienced UK glider pilots | |
| Pillai et al. | Artificial intelligence for air safety | |
| Zhang et al. | Study on Evaluation of Airline Pilot’s Flight Violation Behaviors and Psychological Risk | |
| Odisho II | Predicting pilot misperception of runway excursion risk through machine learning algorithms of recorded flight data | |
| Anderson et al. | Analysis of flight delays in aviation system using different classification algorithms and feature selection methods | |
| Statler | The aviation system monitoring and modeling (ASMM) project: A documentation of its History and Accomplishments: 1999-2005 | |
| Si et al. | Risk Cause Analysis of Runway Excursion Accidents in the Aircraft Landing Stage through Integrated FTA-BN Method. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |