CN116644988B - Flight fatigue value calculation method and device, electronic equipment and storage medium - Google Patents

Flight fatigue value calculation method and device, electronic equipment and storage medium Download PDF

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CN116644988B
CN116644988B CN202310507764.9A CN202310507764A CN116644988B CN 116644988 B CN116644988 B CN 116644988B CN 202310507764 A CN202310507764 A CN 202310507764A CN 116644988 B CN116644988 B CN 116644988B
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荀向东
刘星俞
张元�
王旭辉
陈京松
乔静
田先卉
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China Academy of Civil Aviation Science and Technology
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Abstract

The invention discloses a flight fatigue value calculation method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: s1, acquiring scheduling information of a flight crew to be flown, acquiring a sleep log of a pilot to be flown, constructing a biological data model in two processes of circadian rhythm and steady state, and inputting the scheduling information into the biological data model to obtain a fatigue value sequence of the pilot in a flight period; s2, the initial fatigue weighting coefficient corresponding to the acquisition machine length in the initial fatigue weighting coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving The method comprises the steps of carrying out a first treatment on the surface of the S3, calculating to obtain a fatigue weight coefficient Q of the computer length Machine length Weight coefficient Q of fatigue of co-driver Co-driving The method comprises the steps of carrying out a first treatment on the surface of the And S4, calculating to obtain a flight fatigue value sequence of the to-be-flown flight. The invention can synchronously output the fatigue value sequence of the pilot in the flight period and the flight fatigue value sequence, thereby being convenient for the operation control department of the airline and the unit scheduling department to carry out decision consideration and reasonable scheduling.

Description

Flight fatigue value calculation method and device, electronic equipment and storage medium
Technical Field
The invention relates to the field of civil aviation security scheduling supervision, in particular to a flight fatigue value calculation method, a device, electronic equipment and a storage medium.
Background
A plurality of airlines in China currently run qualification approval rules of public aviation transportation carriers of large-scale airplanes of CCAR-121-R7 and AC-121-FS-014CCThe fatigue management requirement of the AR121 part qualification holder establishes the fatigue risk management requirement, at present, a scientific analysis method which is internationally accepted for fatigue risk management is a biological mathematical model, and the fatigue, namely the change trend of alertness, of a human body is predicted based on different fatigue theoretical models, so that the potential fatigue risk of a pilot in operation is predicted. The biological mathematical models widely used at present are: fatigue assessment tools (FAID), boeing Alertness Models (BAM), crew fatigue assessment Systems (SAFE), and the like; wherein the first two models are implemented based on a three-process model, known for fatigue prediction, are disclosed in, for example, the following documents: michael Ingre, wessel Van Leeuwen, tomas Klemets, christer U1lvetter, stephen Hough,Kecklund,David Karlss,/>"Validating and Extending the Three Process Model of Alertness in Airline Operations" (PLoS One, volume 9, phase 10, 2014). The model considers three main components, the first component being the circadian process, describing the circadian variation (C) of alertness; the second component is a steady state process describing a decrease in alertness with awake time and a recovery with sleep time (S); the third component is the sleep inertia process, which describes the delay (W) after waking up before alertness resumes. Since the sleep inertia process has little effect after half an hour after waking and the pilot does not work immediately after waking, it is generally not considered in the biological mathematical model of the pilot. One problem with this approach is that it assumes a regular sleep schedule, e.g., work on the nine-night five-week side, while pilot work is possible during any period of 24 hours of the full day that meets regulatory requirements, the pilots have individual differences between them due to differences in sleep habits that are inherited and developed by the acquired lifestyle that determine the peak circadian rhythms, and that need to be considered in the model, pilots of domestic airlines are typically on the fly of the fly on the fly of the nine-night five-week sideThe full physiological and psychological recovery is obtained on the rest days of the two days, the phase peak value can be obtained by utilizing the sleeping condition of the rest period, in addition, the sleeping time required values under different conditions of the working days and the rest days are considered when a model is designed, and the relationship between the fatigue rate and the sleeping time of different pilots when the pilots are awake is also considered, so that a biological mathematical model suitable for the pilots is formed.
On the basis of obtaining the pilot individual fatigue prediction value through a biological mathematical model, the operation control department of the airline company and the unit scheduling department need to further master the fatigue condition of the flight to be performed in operation management, and how to scientifically evaluate the fatigue values of different crew members for scheduling flights is achieved, so that the operation safety level of the airline company is improved (if the fatigue value of the flight to be performed is higher, the airline company needs to be alert and reasonably schedule in time), the technical problem to be solved is solved urgently at present, and no calculation method and system for the flight fatigue value exist in the prior art.
Disclosure of Invention
The invention aims to solve the technical problems pointed out by the background technology, and provides a flight fatigue value calculation method, a device, electronic equipment and a storage medium, wherein a pilot fatigue prediction value is obtained through a biological mathematical model, and further a flight fatigue value sequence is obtained through scientific quantitative calculation, so that the flight fatigue values of flights arranged by different crews are scientifically evaluated, the operation safety level of an airline company is improved, and if the fatigue value of the flight to be trained is higher, the airline company needs to be alert and reasonably arranged in time.
The aim of the invention is achieved by the following technical scheme:
a method for calculating a flight fatigue value, the method comprising:
s1, acquiring scheduling information of a flight crew to be flown, wherein the scheduling information comprises pilot work numbers, pilots, pilot work starting time and flight numbers, flight work ending time and flight numbers, and pilots comprise a captain and a copilot; the method comprises the steps of obtaining sleep logs of at least two complete natural days of a pilot of a flight crew to be flown before the working starting time of the pilot, wherein the sleep logs comprise the sleeping time, the sleeping time,Sleep efficiency, constructing a biological mathematical model in two processes of circadian rhythm and steady state, performing model training, and inputting scheduling information into the trained biological mathematical model to obtain a fatigue value sequence of a pilot in a flight period, wherein the fatigue value sequence of the captain is F Captain (1 … n) The fatigue value sequence of the copilot is F Copilot (1 … n) N represents the number of minutes increased after the pilot's start of operation;
s2, acquiring flight time accumulated by a length and a copilot of a flight unit to be flown to obtain the length flight time T of the flight to be flown Machine length Flight time T of co-pilot to be flown Co-driving Constructing and setting an initial fatigue weighting coefficient database, wherein the initial fatigue weighting coefficient database comprises the corresponding relation between the flight time of the aircraft length and the initial fatigue weighting coefficient, the corresponding relation between the flight time of the co-pilot and the initial fatigue weighting coefficient, and the fatigue weighting coefficient database is used for determining the flight time T of the aircraft length Machine length Flight time T of co-pilot Co-driving The initial fatigue weight coefficient corresponding to the acquisition machine length in the initial fatigue weight coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Auxiliary frame driving
S3, calculating to obtain fatigue weighting coefficient Q of the length of the machine according to the following formula Machine length Fatigue weighting coefficient Q of co-driver Co-driving
Q Machine length =0.5+0.5xP Machine length /(P Machine length +P Co-driving );
Q Co-driving =0.5xP Co-driving /(P Machine length +P Co-driving );
S4, calculating to obtain a flight fatigue value sequence of the flight crew to be flown according to the following formula:
flight fatigue value sequence F Flight (1..n) =F Captain (1 … n) xQ Machine length +F Copilot (1 … n) xQ Co-driving
In order to better realize the flight fatigue value calculation method, the fatigue value sequence calculation method in the biological mathematical model is as follows:
s11, acquiring the sleeping time t1 of the first day of two complete natural days before the working start time of the pilot in the sleeping log To fall asleep Time t1 of falling asleep Go out to sleep Sleep efficiency sq1, sleep time t2 of the second of two complete natural days before pilot work start time To fall asleep Time t2 of falling asleep Go out to sleep Sleep efficiency sq2; the circadian rhythm calculation method is as follows:
sleep duration b=0.5 (t 1 Go out to sleep -t1 To fall asleep )*sq1+0.5*(t2 Go out to sleep -t2 To fall asleep )*sq2;
Peak time t of circadian rhythm of pilot Peak value =t2 Go out to sleep +12-0.5*B;
Circadian rhythm c=2.5 x cos ((pi/12) (t-t) Peak value ) Wherein t is the moment at which the fatigue value is to be calculated;
steady state s=s2=2.4+ (Sw-2.4) ×exp (-0.0353×taw×pw) in awake state, where Sw is steady state value at the start of wakefulness, taw is timing value from the start of wakefulness in awake state, fatigue adjustment factor pw= (24-B)/16;
s12, calculating an original fatigue value D according to the following formula:
D=S+C;
calculating a fatigue value F of the pilot according to the original fatigue value D, wherein F=k represents D+b, k represents a coefficient, and b represents a constant;
and sequentially calculating a fatigue value sequence of the pilot in the flight period according to the steps S11 and S12, wherein the fatigue value sequence is arranged in time sequence.
The preferable technical scheme of the flight fatigue value calculation method of the invention is as follows: in the step S1, two complete natural days are natural days of the pilot of the flight crew to be flown at least including a night sleep interval opportunity before the pilot work starting time, and the night sleep interval is a time interval from 0 late to 6 early.
The further preferable technical scheme of the flight fatigue value calculation method of the invention is as follows: the corresponding relation between the aircraft length flight time and the initial fatigue weight coefficient in the initial fatigue weight coefficient database is as follows:
long airplaneLine elapsed time T Machine length Less than or equal to 500, P Machine length =0.2;
Long flight time T Machine length E (500, 2000), then P Machine length =0.3;
Long flight time T Machine length More than or equal to 2000, P Machine length =0.6。
The further preferable technical scheme of the flight fatigue value calculation method of the invention is as follows: the correspondence between the flight time of the co-pilot and the initial fatigue weight coefficient in the initial fatigue weight coefficient database is as follows:
co-pilot flight time T Co-driving Less than or equal to 1000, P Co-driving =0.1;
Co-pilot flight time T Co-driving E (1000, 2600), then P Co-driving =0.2;
Co-pilot flight time T Co-driving More than or equal to 2600, P Co-driving =0.4。
A flight fatigue value calculation device, comprising:
the data access module is used for acquiring scheduling information and basic information of a flight crew to be flown, wherein the scheduling information comprises a pilot work number, a pilot work starting time and a flight number, a flight work ending time and a flight number, and the pilot comprises a captain and a copilot; the method is also used for acquiring sleep logs of at least two complete natural days before the pilot starts working at the moment of the pilot of the flight crew to be flown, wherein the sleep logs comprise sleeping moment, sleeping moment and sleeping efficiency; the method is also used for obtaining the flight time T of the flight length of the flight unit to be flown Machine length Flight time T of co-pilot to be flown Co-driving
The fatigue value sequence calculation processing module is internally provided with a biological mathematical model in which two processes of circadian rhythm and steady state are constructed, and the scheduling information is input into the biological mathematical model to obtain the fatigue value sequence of the pilot in the flight period, wherein the fatigue value sequence of the aircraft length is F Captain (1 … n) The fatigue value sequence of the copilot is F Copilot (1 … n) N represents the number of minutes increased after the pilot's start of operation;
an initial fatigue weight coefficient database is built in the flight fatigue value calculation module, the initial fatigue weight coefficient database comprises the corresponding relation between the flight time of the aircraft length and the initial fatigue weight coefficient, the corresponding relation between the flight time of the co-pilot and the initial fatigue weight coefficient, and the flight time T is calculated according to the aircraft length Machine length Flight time T of co-pilot Co-driving The initial fatigue weight coefficient corresponding to the acquisition machine length in the initial fatigue weight coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving The method comprises the steps of carrying out a first treatment on the surface of the An initial fatigue weighting coefficient according to the length of the aircraft is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving Calculating to obtain fatigue weight coefficient Q of the length of the machine Machine length Fatigue weighting coefficient Q of co-driver Co-driving Then calculating to obtain a flight fatigue value sequence of the flight crew to be flown;
the flight fatigue value output module is used for summarizing and outputting pilot work numbers, pilots, pilot work starting time and flight numbers, flight work ending time and flight numbers, fatigue value sequences of pilots in flight periods and flight fatigue value sequences.
An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the flight fatigue value calculation method of the invention.
A storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the flight fatigue value calculation method of the invention.
Compared with the prior art, the invention has the following advantages:
according to the invention, the pilot fatigue predicted value is obtained through the biological mathematical model, and further the flight fatigue value sequence (namely the fatigue value level or the fatigue condition of the flights arranged by the double flight crew comprising the captain and the copilot) is obtained through scientific quantitative calculation, so that the flight fatigue values of the flights arranged by different crews are scientifically evaluated, the operation safety level of the airlines is improved, and if the fatigue value of the flights to be flown is higher, the airlines need to be alert and reasonably arranged in time. The invention can synchronously output the fatigue value sequence of the pilot in the flight period and the flight fatigue value sequence, thereby being convenient for the operation control department of the airline and the unit scheduling department to carry out decision consideration.
Drawings
FIG. 1 is a flow chart of a flight fatigue value calculation method according to the present invention;
FIG. 2 is a graph of pilot fatigue values calculated by an example of a biological mathematical model in an example;
FIG. 3 is a table illustrating an exemplary sequence of fatigue value data for a pilot during a flight;
fig. 4 is a schematic block diagram of a flight fatigue value calculating device according to the present invention.
Detailed Description
The invention is further illustrated by the following examples:
example 1
As shown in fig. 1 to 3, a flight fatigue value calculating method includes:
s1, acquiring scheduling information of a flight crew to be flown, wherein the scheduling information comprises pilot work numbers, pilots, pilot work starting time and flight numbers, flight work ending time and flight numbers, and pilots comprise a captain and a copilot; the method comprises the steps of obtaining sleep logs of at least two complete natural days of a pilot of a flight crew to be flown before a pilot work starting time (in order to better adapt to a biological mathematical model, the two complete natural days are natural days of the pilot of the flight crew to be flown at least including a night sleep interval opportunity before the pilot work starting time, the night sleep interval is a time interval from 0 late to 6 early, namely a time interval from 0 early to 6 early), and the sleep logs comprise a sleep-in time, a sleep-out time and sleep efficiency (the value of the sleep efficiency is 0 to 100 percent). This example illustrates the following table:
constructing a biological mathematical model in two processes of circadian rhythm and steady state, performing model training, and inputting scheduling information into the trained biological mathematical model to obtain a fatigue value sequence of a pilot in a flight period, wherein the fatigue value sequence of the aircraft length is F Captain (1 … n) The fatigue value sequence of the copilot is F Copilot (1 … n) N represents the number of minutes increased after the pilot start of operation, and as shown in fig. 3, the flight to be flown is expected to take off at 2023, 5, 12:30, 2023, 5, 12:30 is the pilot start of operation, from which a fatigue value sequence F of the aircraft length is associated Captain (1 … n) Fatigue value sequence F of co-driver Copilot (1 … n) Until the flight is completed (i.e. the end of the flight is completed), the embodiment provides the fatigue value curve of the pilot shown in fig. 2, and the fatigue value sequence F of the captain Captain (1 … n) Fatigue value sequence F of co-driver Copilot (1 … n) A curve representation is made on a coordinate system, wherein a portion a (light gray curve portion) of the curve represents the fatigue value of the pilot's non-piloted aircraft time and a portion B (dark gray curve portion) of the curve represents the fatigue value of the pilot's piloted aircraft time (i.e. pilot flight time). The best or ideal application of the invention is to arrange the pilots to form the flight crew of the flight to be flown under the condition that the fatigue value of the pilots is relatively lowest, and of course, the domestic and international flights are relatively busy, the pilots of the flight crew comprise the captain and the copilot, and the airlines are more hopeful to pay attention to the fatigue value F of the flights of the flight crew from the practical application of civil aviation operation economy decision Flight (1 … n) The invention can scientifically quantify the flight fatigue value sequence, and is convenient for aviation publicityAnd the department of control and unit scheduling carries out decision consideration. Of course, the invention can also draw the flight fatigue value curve according to the flight fatigue value sequence in the mode of figure 2, which is convenient for visual inspection.
In some embodiments, the fatigue value sequence calculation method in the biological mathematical model is as follows:
s11, acquiring the sleeping time t1 of the first day of two complete natural days before the working start time of the pilot in the sleeping log To fall asleep Time t1 of falling asleep Go out to sleep Sleep efficiency sq1, sleep time t2 of the second of two complete natural days before pilot work start time To fall asleep Time t2 of falling asleep Go out to sleep Sleep efficiency sq2; the circadian rhythm calculation method is as follows:
sleep duration b=0.5 (t 1 Go out to sleep -t1 To fall asleep )*sq1+0.5*(t2 Go out to sleep -t2 To fall asleep )*sq2;
Peak time t of circadian rhythm of pilot Peak value =t2 Go out to sleep +12-0.5*B;
Circadian rhythm c=2.5 x cos ((pi/12) (t-t) Peak value ) Where t is the time at which the fatigue value is to be calculated, t is not earlier than the pilot's start of operation, and t generally selects a time period during the flight to effect calculation of the entire flight period. The time involved in the present invention (including t1 Go out to sleep 、t1 To fall asleep T2 out, t2 To fall asleep Time of participation in mathematical operations, t, etc.) are digitally converted according to a 24-hour system, for example: a1 hours A2 minutes (A1: A2), the digitization is converted intoExamples are as follows: 6:30 (digital conversion: 6.5), 20:15 (digital conversion: 20.25).
For example: based on the sleep log example, the sleep duration b=7.97 hours, the circadian peak time t Peak value =15.02。
Steady state s=s2=2.4+ (sw-2.4) ×exp (-0.0353×taw×pw) in awake state, where sw is steady state value at the beginning of wakefulness, taw is timing value of the awake state from the beginning of wakefulness, fatigue adjustment factor pw= (24-B)/16 (e.g., pw=16.03/16 based on sleep log example).
In some embodiments, a steady-state training model is built in the biological mathematical model and trained, the steady state in step S11 is composed of a sleep steady state and an awake steady state cyclic connection, and the sleep steady state S1 is divided into two stages, and the calculation formula includes:
when s1 is less than or equal to 12.2, s1=ss+ 0.80073 xtas, (1)
When S1 is more than 12.2, calculating an intermediate variable bt= (12.2-ss)/0.80073; calculating s1=14.3-2.1 x exp (-0.3813 (tas-bt)); (2)
Wherein SS is a steady state value at the beginning of sleep, tas is a timer value from the beginning of sleep in sleep state, and the maximum value of tas prediction is Max ((t 1) on the pilot's rest day (pilot is typically the second of the fly and rest day is the date in second of the rest day) Go out to sleep -t1 To fall asleep )x sq1,(t1 Go out to sleep -t1 To fall asleep ) Sq 2), on the pilot's working day (pilot is typically the second to first day in "second to fourth") the maximum value of tas prediction is the sleep duration B physiologically needed by pilot.
The sleep steady state S1 is calculated by selecting an adaptive formula (1) and an adaptive formula (2) by taking a steady state value ss at the beginning of sleep as an initial value, and then the sleep steady state S1 is calculated by selecting the adaptive formula (1) and the adaptive formula (2).
For example, based on the sleep log example, on the weekdays, the maximum value of tas is 8.33 hours, and on the weekdays the maximum value of tas is 7.96 hours.
Steady state s=s2=2.4+ (sw-2.4) ×exp (-0.0353×taw×pw) in awake state, where sw is steady state value at the start of wakefulness, taw is timing value from the start of wakefulness in awake state, and fatigue adjustment factor pw= (24-B)/16. Steady state s=s1 during sleep state, steady state s=s2 during awake state; since pilot operation is in the awake state, the present invention adopts steady state S2 in the awake state.
S12, calculating an original fatigue value D according to the following formula:
d=s+c; when D is more than 11.7, the sleep state is realized, and when D is less than or equal to 7.5.
Calculating a fatigue value F of the pilot according to the original fatigue value D, wherein F=k represents D+b, k represents a coefficient, and b represents a constant; based on scientific research, k= -0.6, b=10.2 was taken.
And sequentially calculating a fatigue value sequence of the pilot in the flight period according to the steps S11 and S12, wherein the fatigue value sequence is arranged in time sequence.
S2, acquiring flight time accumulated by a length and a copilot of a flight unit to be flown to obtain the length flight time T of the flight to be flown Machine length Flight time T of co-pilot to be flown Co-driving An initial fatigue weighting coefficient database is constructed and set, wherein the initial fatigue weighting coefficient database comprises the corresponding relation between the flight time of the aircraft length and the initial fatigue weighting coefficient and the corresponding relation between the flight time of the co-pilot and the initial fatigue weighting coefficient.
In some embodiments, the length of flight in the initial fatigue weight coefficient database corresponds to the initial fatigue weight coefficient as follows:
long flight time T Machine length Less than or equal to 500, P Machine length =0.2;
Long flight time T Machine length E (500, 2000), then P Machine length =0.3;
Long flight time T Machine length More than or equal to 2000, P Machine length =0.6。
In some embodiments, the co-pilot flight time-of-day versus initial fatigue weight coefficients in the initial fatigue weight coefficient database is as follows:
co-pilot flight time T Co-driving Less than or equal to 1000, P Co-driving =0.1;
Co-pilot flight time T Co-driving E (1000, 2600), then P Co-driving =0.2;
Co-pilot flight time T Co-driving More than or equal to 2600, P Co-driving =0.4。
According to the flight time T of the aircraft length Machine length Flight time T of co-pilot Co-driving The initial fatigue weight coefficient corresponding to the acquisition machine length in the initial fatigue weight coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving
S3, calculating to obtain fatigue weighting coefficient Q of the length of the machine according to the following formula Machine length Fatigue weighting coefficient Q of co-driver Co-driving
Q Machine length =0.5+0.5x P Machine length /(P Machine for making food Length +P Co-driving );
Q Co-driving =0.5x P Co-driving /(P Machine length +P Co-driving );
S4, calculating to obtain a flight fatigue value sequence of the flight crew to be flown according to the following formula:
flight fatigue value sequence F Flight (1 … n) =F Captain (1 … n) x Q Machine length +F Copilot (1 … n) x Q Co-driving . The embodiment can scientifically quantify the flight fatigue value sequence (the flight fatigue value sequence is shown in the time sequence of the flight fatigue value sequence in fig. 3, and the flight fatigue value is arranged according to the time sequence of the minutes in fig. 3), so that the decision consideration of an operation control department and a unit scheduling department of an airline can be conveniently carried out.
Example two
An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the flight fatigue value calculation method of embodiment one.
Example III
A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the flight fatigue value calculation method of embodiment one.
Example IV
As shown in fig. 4, a flight fatigue value calculating apparatus includes:
the data access module is used for acquiring scheduling information and basic information of a flight crew to be flown, wherein the scheduling information comprises a pilot work number, a pilot up-work starting time and flight number, a flight work ending time and flight number, and the pilot comprises a captain and a copilot; the method is also used for acquiring sleep logs of at least two complete natural days before the working start time of the pilot of the flight crew to be flown, wherein the sleep logs comprise the sleeping time, the sleeping time and the sleeping efficiency. Collecting sleeping time t1 of the first day of two complete natural days before pilot work starting time in sleep log To fall asleep Time t1 of falling asleep Go out to sleep Sleep efficiency sq1, sleep time t2 of the first of two complete natural days before pilot work start time To fall asleep Time t2 of falling asleep Go out to sleep Sleep efficiency sq2; the circadian rhythm calculation method (calculated in detail according to the method of embodiment one) is as follows:
sleep duration b=0.5x (t 1 Go out to sleep -t1 To fall asleep )*sq1+0.5*(t2 Go out to sleep -t2 To fall asleep )*sq2;
Peak time t of circadian rhythm of pilot Peak value =t2 Go out to sleep +12-0.5x B;
Circadian rhythm C=2.5 x cos ((pi/12) x (t-t) Peak value ) T is the moment of calculating the fatigue value, and t is not earlier than the moment of starting pilot work;
steady state s=s2=2.4+ (sw-2.4) x exp (-0.0353×taw×pw) in awake state, wherein sw is steady state value at the start of wakefulness, taw is timing value from the start of wakefulness in awake state, fatigue adjustment factor pw= (24-B)/16;
s12, calculating an original fatigue value D according to the following formula:
D=S+C;
calculating a fatigue value F of the pilot according to the original fatigue value D, wherein F=k represents D+b, k represents a coefficient, and b represents a constant;
and sequentially calculating a fatigue value sequence of the pilot in the flight period according to the steps S11 and S12, wherein the fatigue value sequence is arranged in time sequence.
The data access module is also used for obtaining the flight time accumulated by the length and the copilot of the flight machine set to be flown, and obtaining the length flight time T of the flight to be flown Machine length Flight time T of co-pilot to be flown Co-driving
The fatigue value sequence calculation processing module is internally provided with a biological mathematical model in which two processes of circadian rhythm and steady state are constructed, and the scheduling information is input into the biological mathematical model to obtain the fatigue value sequence of the pilot in the flight period, wherein the fatigue value sequence of the aircraft length is F Captain (1 … n) The fatigue value sequence of the copilot is F Copilot (1 … n) N represents the number of minutes increased after the pilot's start of operation;
an initial fatigue weight coefficient database is built in the flight fatigue value calculation module, the initial fatigue weight coefficient database comprises the corresponding relation between the flight time of the aircraft length and the initial fatigue weight coefficient, the corresponding relation between the flight time of the co-pilot and the initial fatigue weight coefficient, and the flight time T is calculated according to the aircraft length Machine length Flight time T of co-pilot Co-driving The initial fatigue weight coefficient corresponding to the acquisition machine length in the initial fatigue weight coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Copilot; an initial fatigue weighting coefficient according to the length of the aircraft is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving According to the formula method of the first embodiment, the fatigue weight coefficient Q of the length of the machine is calculated Machine length Fatigue weighting coefficient Q of co-driver Co-driving . The fatigue weight coefficient Q of the computer length is calculated according to the following formula Machine length Fatigue weighting coefficient Q of co-driver Co-driving
Q Machine length =0.5+0.5x P Machine length /(P Machine length +P Co-driving );
Q Co-driving =0.5x P Co-driving /(P Machine length +P Co-driving )。
Then calculating to obtain a flight fatigue value sequence of the flight crew to be flown according to the formula method of the first embodiment; and calculating to obtain the flight fatigue value of the to-be-flown flight crew according to the following formula:
flight fatigue value F Flight (1 … n) =F Captain (1 … n) x Q Machine length +F Copilot (1 … n) x Q Co-driving
The flight fatigue value output module is used for summarizing and outputting pilot work numbers, pilots, pilot work starting time and flight numbers, flight work ending time and flight numbers, fatigue value sequences of pilots in flight periods and flight fatigue value sequences (the flight fatigue values in time sequences are given in fig. 3, namely the flight fatigue value sequences); as shown in fig. 3, the embodiment can scientifically quantify the flight fatigue value sequence, and synchronously output the fatigue value sequence of pilots (including the captain and the copilot) in the flight period, so that the decision consideration of the operation control department and the unit scheduling department of the airlines is facilitated.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (8)

1. A flight fatigue value calculating method is characterized in that: the method comprises the following steps:
s1, acquiring scheduling information of a flight crew to be flown, wherein the scheduling information comprises pilot work numbers, pilots, pilot work starting time and flight numbers, and flight work ending time, and the pilots comprise a captain and a copilot; the method comprises the steps of obtaining sleep logs of at least two complete natural days before the working start time of a pilot of a flight crew to be flown, wherein the sleep logs comprise sleeping time, sleeping time and sleeping efficiency, constructing a biological mathematical model in two processes of circadian rhythm and steady state, performing model training, inputting scheduling information into the trained biological mathematical model to obtain a fatigue value sequence of the pilot in a flight period, wherein the fatigue value sequence of the pilot is F Captain (1 … n) The fatigue value sequence of the copilot is F Copilot (1 … n) N represents the number of minutes increased after the pilot's start of operation;
s2, acquiring flight time accumulated by a length and a copilot of a flight unit to be flown to obtain the length flight time T of the flight to be flown Machine length Flight time T of co-pilot to be flown Co-driving Constructing and setting an initial fatigue weighting coefficient database, wherein the initial fatigue weighting coefficient database comprises the corresponding relation between the flight time of the aircraft length and the initial fatigue weighting coefficient, the corresponding relation between the flight time of the co-pilot and the initial fatigue weighting coefficient, and the fatigue weighting coefficient database is used for determining the flight time T of the aircraft length Machine length Flight time T of co-pilot Co-driving The initial fatigue weight coefficient corresponding to the acquisition machine length in the initial fatigue weight coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving
S3, calculating to obtain fatigue weighting coefficient Q of the length of the machine according to the following formula Machine length Fatigue weighting coefficient Q of co-driver Co-driving
Q Machine length =0.5+0.5x P Machine length /(P Machine for making food Length +P Co-driving );
Q Co-driving =0.5x P Co-driving /(P Machine for making food Length +P Co-driving );
S4, calculating to obtain a flight fatigue value sequence of the flight crew to be flown according to the following formula:
flight fatigue value sequence F Flight (1 … n) =F Captain (1 … n) x Q Machine length +F Copilot (1 … n) x Q Co-driving
2. The flight fatigue value calculation method according to claim 1, wherein: the fatigue value sequence calculation method in the biological mathematical model is as follows:
s11, acquiring the sleeping time t1 of the first day of two complete natural days before the working start time of the pilot in the sleeping log To fall asleep Time t1 of falling asleep Go out to sleep Sleep efficiency sq1, sleep time t2 of the second of two complete natural days before pilot work start time To fall asleep Time t2 of falling asleep Go out to sleep Sleep efficiency sq2; the circadian rhythm calculation method is as follows:
sleep duration b=0.5 (t 1 Go out to sleep -t1 To fall asleep )*sq1+0.5*(t2 Go out to sleep -t2 To fall asleep )*sq2;
Peak time t of circadian rhythm of pilot Peak value =t2 Go out to sleep +12-0.5*B;
Circadian rhythm c=2.5 x cos ((pi/12) (t-t) Peak value ) Wherein t is the moment at which the fatigue value is to be calculated;
steady state s=s2=2.4+ (Sw-2.4) ×exp (-0.0353×taw×pw) in awake state, wherein Sw is steady state value at the start of wakefulness, taw is timing value from the start of wakefulness in awake state, fatigue adjustment factor pw= (24-B)/16;
s12, calculating an original fatigue value D according to the following formula:
D=S+C;
calculating a fatigue value F of the pilot according to the original fatigue value D, wherein F=k represents D+b, k represents a coefficient, and b represents a constant;
and sequentially calculating a fatigue value sequence of the pilot in the flight period according to the steps S11 and S12, wherein the fatigue value sequence is arranged in time sequence.
3. A flight fatigue value calculation method according to claim 1 or 2, wherein: in the step S1, two complete natural days are natural days of the pilot of the flight crew to be flown at least including a night sleep interval opportunity before the pilot work starting time, and the night sleep interval is a time interval from 0 late to 6 early.
4. The flight fatigue value calculation method according to claim 1, wherein: the corresponding relation between the aircraft length flight time and the initial fatigue weight coefficient in the initial fatigue weight coefficient database is as follows:
long flight time T Machine length Less than or equal to 500, P Machine length =0.2;
Long flight time T Machine length E (500, 2000), then P Machine length =0.3;
Long flight time T Machine length More than or equal to 2000, P Machine length =0.6。
5. The flight fatigue value calculation method according to claim 1, wherein: the correspondence between the flight time of the co-pilot and the initial fatigue weight coefficient in the initial fatigue weight coefficient database is as follows:
co-pilot flight time T Co-driving Less than or equal to 1000, P Co-driving =0.1;
Co-pilot flight time T Co-driving E (1000, 2600), then P Co-driving =0.2;
Co-pilot flight time T Co-driving More than or equal to 2600, P Co-driving =0.4。
6. A flight fatigue value calculation device, characterized in that: comprising the following steps:
the data access module is used for acquiring scheduling information and basic information of a flight crew to be flown, wherein the scheduling information comprises a pilot work number, a pilot work starting time, a flight number and a flight work ending time, and the pilot comprises a captain and a copilot; the method is also used for acquiring sleep logs of at least two complete natural days before the pilot starts working at the moment of the pilot of the flight crew to be flown, wherein the sleep logs comprise sleeping moment, sleeping moment and sleeping efficiency; the method is also used for obtaining the flight time T of the flight length of the flight unit to be flown Machine length Flight time T of co-pilot to be flown Co-driving
The fatigue value sequence calculation processing module is internally provided with a biological mathematical model in which two processes of circadian rhythm and steady state are constructed, and the scheduling information is input into the biological mathematical model to obtain the fatigue value sequence of the pilot in the flight period, wherein the fatigue value sequence of the aircraft length is F Captain (1 … n) The fatigue value sequence of the copilot is F Copilot (1 … n) N represents the number of minutes increased after the pilot's start of operation;
an initial fatigue weight coefficient database is built in the flight fatigue value calculation module, the initial fatigue weight coefficient database comprises the corresponding relation between the flight time of the aircraft length and the initial fatigue weight coefficient, the corresponding relation between the flight time of the co-pilot and the initial fatigue weight coefficient, and the flight time T is calculated according to the aircraft length Machine length Flight time T of co-pilot Co-driving The initial fatigue weight coefficient corresponding to the acquisition machine length in the initial fatigue weight coefficient database is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving The method comprises the steps of carrying out a first treatment on the surface of the An initial fatigue weighting coefficient according to the length of the aircraft is P Machine length The initial fatigue weighting coefficient of the copilot is P Co-driving Calculating to obtain fatigue weight coefficient Q of the length of the machine Machine length Fatigue weighting coefficient Q of co-driver Co-driving Then calculating to obtain a flight fatigue value sequence of the flight crew to be flown;
flight fatigue value sequence F Flight (1 … n) =F Captain (1 … n) x Q Machine length +F Copilot (1 … n) x Q Co-driving
The flight fatigue value output module is used for summarizing and outputting pilot work numbers, pilots, pilot work starting time and flight numbers, flight work ending time and flight numbers, fatigue value sequences of pilots in flight periods and flight fatigue value sequences.
7. An electronic device, characterized in that: comprising the following steps: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the method of any of claims 1-5.
8. A storage medium having a computer program stored thereon, characterized by: the computer program implementing the steps of the method according to any of claims 1-5 when executed by a processor.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009059164A2 (en) * 2007-10-31 2009-05-07 Intrago Corporation User-distributed shared vehicle system
CN109492912A (en) * 2018-11-13 2019-03-19 中国民航科学技术研究院 A kind of flight risk reminding method, user terminal and server
WO2020186160A2 (en) * 2019-03-13 2020-09-17 Federal Express Corporation Mitigating operational risk in aircraft
CN113807610A (en) * 2021-10-09 2021-12-17 中国民航科学技术研究院 Flight fatigue prediction method and system
CN114037346A (en) * 2021-11-25 2022-02-11 杭州优迈科思信息科技有限责任公司 Generation method and device of intelligent flight unit group ring

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110071873A1 (en) * 2009-09-01 2011-03-24 Edward Vaughan Method and apparatus for mitigating aviation risk by analyzing and modeling air crew fatigue
JP6796709B2 (en) * 2016-09-28 2020-12-09 フェデラル エクスプレス コーポレイション Systems and methods for monitoring the internal cargo contents of a cargo hangar using one or more internal monitoring drones

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009059164A2 (en) * 2007-10-31 2009-05-07 Intrago Corporation User-distributed shared vehicle system
CN109492912A (en) * 2018-11-13 2019-03-19 中国民航科学技术研究院 A kind of flight risk reminding method, user terminal and server
WO2020186160A2 (en) * 2019-03-13 2020-09-17 Federal Express Corporation Mitigating operational risk in aircraft
CN113807610A (en) * 2021-10-09 2021-12-17 中国民航科学技术研究院 Flight fatigue prediction method and system
CN114037346A (en) * 2021-11-25 2022-02-11 杭州优迈科思信息科技有限责任公司 Generation method and device of intelligent flight unit group ring

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙殿阁 ; 盖文妹 ; 段炼 ; 熊康昊 ; .基于生物数学模型的飞行疲劳预测建模与仿真.中国安全生产科学技术.2016,(第03期),全文. *

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