Method and device for determining workload of flight mission and electronic equipment
By constructing resource demand value matrix and Gantt chart, combined with resource conflict coefficient matrix, the accuracy problem of flight mission workload determination in the existing technology is solved, and more accurate workload evaluation is achieved, and reasonable scheduling and planning of flight missions and pilots are supported.
Patent Information
- Application Number
- CN202510925047.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-04
- Publication Date
- 2025-08-26
AI Technical Summary
The existing flight mission workload determination methods have low accuracy, strong subjectivity or single analysis data, so they cannot accurately evaluate the pilot's workload status.
By constructing a resource demand value matrix and a Gantt chart, combining the preset resource conflict coefficient matrix, analyzing the resource requirements and conflict relationships of the flight mission, and determining the target workload of the flight mission.
Improve the accuracy of flight mission workloads, reduce subjective errors, and support reasonable mission scheduling and pilot planning.
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Figure CN120542874A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data processing technology, and in particular to a method, device, and electronic equipment for determining the workload of a flight mission. Background Art
[0002] As flight missions (such as combat missions) become more complex, the amount of situational information pilots face is exponentially increasing. While the inherent complexity of flight missions increases, the uncertainty of the operating environment and the variability of collaborative work modes also lead to workload overload. Furthermore, the gradual introduction of emerging intelligent technologies such as multi-channel interaction and intelligent decision-making support into next-generation cockpits is disrupting the way humans and machines collaborate and work. The new demands for rapid adaptation and adaptation between the two in complex mission scenarios also create incremental workload. However, due to physiological and psychological constraints, pilots' operational capabilities are also limited. Their operational capabilities are subject to dynamic fluctuations due to overload and underload conditions, which in turn impacts mission performance. Therefore, it is necessary to establish quantitative workload assessment methods to identify the sources of workload interference in real-world flight scenarios and support integrated mission design, cockpit interaction optimization, and crew task allocation.
[0003] There are two existing methods for determining the workload of flight missions. One is to determine the workload based on experience, but this method is highly subjective, resulting in low accuracy of the final determined workload. The other is to perform a logical analysis of the flight mission to obtain the workload, but the analysis data involved in this method is relatively simple, resulting in low accuracy of the final determined workload.
[0004] Therefore, how to improve the accuracy of flight mission workload has become an urgent problem to be solved. Summary of the Invention
[0005] The embodiments of the present application provide a method, device, and electronic device for determining the workload of a flight mission, which are used to address the defect of the existing technology that it is impossible to obtain a workload with high accuracy. The entire process avoids relying on vague empirical judgments and reduces subjective errors. By analyzing data such as a resource demand value matrix, a Gantt chart, and a preset resource conflict coefficient matrix, it is possible to obtain a workload of a flight mission with high accuracy, thereby facilitating the reasonable scheduling and planning of flight missions and pilots.
[0006] The present invention provides a method for determining the workload of a flight mission, including: According to the flight mission The minimum action paradigm contains the minimum element operation, and A human-computer interaction channel is used to construct a resource requirement matrix for executing the flight mission. and are all integers greater than 1; the horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and the Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution time; The resource requirements of each task and the The target workload of the flight mission is determined by the execution time.
[0007] The present application also provides a flight mission workload determination device, including: Data processing module, used to process data according to the flight mission The minimum action paradigm contains the minimum element operation, and A human-computer interaction channel is used to construct a resource requirement matrix for executing the flight mission. and are all integers greater than 1; the horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and the Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution time; Workload determination module, used to determine the The resource requirements of each task and the The target workload of the flight mission is determined by the execution time.
[0008] An embodiment of the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for determining the workload of a flight mission as described above is implemented.
[0009] An embodiment of the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for determining the workload of a flight mission as described in any one of the above is implemented.
[0010] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the workload determination method for any of the flight missions described above.
[0011] The flight mission workload determination method, device and electronic equipment provided in the embodiments of the present application are based on the corresponding The minimum action paradigm contains the minimum element operation, and A human-computer interaction channel is used to construct a resource requirement matrix for executing the flight mission. and are all integers greater than 1; the horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum element operation and the Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution time; The resource requirements of each task and the The target workload of the flight mission is determined based on the execution time. This entire process avoids reliance on vague empirical judgments and reduces subjective errors. By analyzing data using resource demand value matrices, Gantt charts, and preset resource conflict coefficient matrices, a highly accurate workload can be obtained, facilitating the rational scheduling and planning of flight missions and pilots. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0013] Figure 1 1 is a flowchart of a method for determining a workload of a flight mission provided by an embodiment of the present application; Figure 2 is a schematic diagram of a discrete task network in a takeoff scenario provided by an embodiment of the present application; Figure 3 is a schematic diagram of a Gantt chart in a takeoff scenario provided by an embodiment of the present application; Figure 4 Schematic diagram of the structure of the flight mission workload determination device provided in an embodiment of the present application; Figure 5 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0014] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.
[0015] In order to better understand the embodiments of the present application, the background technology is first described in detail: There are two existing methods for determining mission workload. One is empirical, but this method is highly subjective, resulting in low accuracy in the final workload. Specifically, this method relies on subjective post-mission evaluation scales (such as the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) and the Subjective Workload Assessment Technique (SWAT)). These are highly subjective, fail to reflect the cumulative effect of time, and lack diagnostic capabilities. Physiological measurements collected during mission execution, such as electrocardiogram (ECG) and eye movement data, provide the most accurate real-time monitoring. However, current testing methods are inadequate, the sample size of pilots involved in missions is small, and standards for real-time use have yet to be established. Post-mission performance evaluation methods employ a reverse evaluation approach, in which performance is influenced by numerous coupled factors, of which workload is only one. Characterizing workload through performance requires stringent control conditions and lacks generalizability.
[0016] Another approach involves performing a logical analysis of the flight mission to determine the workload. However, this method involves relatively simple analysis data, resulting in a low accuracy in the final workload. Specifically, this method uses time-based task analysis / hierarchical task analysis prior to the flight mission's execution, reflecting the parallel logic of task strings without a time variable. It also uses multi-resource channel analysis prior to the flight mission's execution to reflect resource utilization, also without a time variable. Furthermore, while existing research has comprehensively considered both time variables and resource requirements, it has not fully accounted for the complexity of the flight mission environment. Consequently, the applicability and accuracy of the workload assessment models involved are poor in real-world mission scenarios.
[0017] Therefore, how to improve the accuracy of flight mission workload has become an urgent problem to be solved.
[0018] In order to solve the above technical problems, the embodiments of the present application provide a method, device and electronic device for determining the workload of a flight mission by The minimum action paradigm contains the minimum element operation, and Human-computer interaction channel, building a resource requirement value matrix for executing flight missions, and are all integers greater than 1; the horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, resource demand value matrix and preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution time; Task resource requirements and The entire process avoids reliance on vague empirical judgments and reduces subjective errors. By analyzing data using resource demand value matrices, Gantt charts, and pre-set resource conflict coefficient matrices, we can obtain highly accurate flight workloads, facilitating the rational scheduling and planning of flight missions and pilots.
[0019] It should be noted that the execution subject involved in the embodiments of the present application can be a workload determination device for a flight mission, or it can be an electronic device. Optionally, the electronic device can include: a computer, a mobile terminal, a wearable device, etc.
[0020] The following uses an electronic device as an example to describe in detail the method for determining the workload of a flight mission provided by an embodiment of the present application: Figure 1 FIG. 1 is a flow chart of a method for determining the workload of a flight mission according to an embodiment of the present application. Figure 1 As shown, the method includes the following steps 101 to 104.
[0021] Step 101: According to the flight mission The minimum action paradigm contains the minimum element operation, and Human-computer interaction channel, builds the resource requirement value matrix for executing flight missions.
[0022] Among them, the above-mentioned flight mission refers to a set of operations that pilots need to complete in specific stages (such as take-off, cruising, and landing).
[0023] The above minimum action paradigm refers to the basic action unit to complete the flight mission. Minimal action paradigms can construct a minimum action paradigm set, is an integer greater than 1. For example, The maximum value is 7, and the usual value is 6.
[0024] The above-mentioned minimum element operation refers to the atomic operation that constitutes the corresponding minimum action paradigm. Optionally, The minimum meta-operations can construct a minimum meta-operation set, which can also be called the minimum action paradigm attribute set.
[0025] The above human-computer interaction channel refers to the way the pilot interacts with the electronic equipment. Taking the takeoff mission as an example, the human-computer interaction channel can obtain the relevant main information of the pilot in the cockpit. The personal computer interaction channel is obtained by electronic equipment decomposing the information interaction process of the pilot in the cockpit. is an integer greater than 1. Each human-computer interaction channel in the personal computer interaction channel contains Behavior, is an integer greater than 1, and the difficulty of each behavior is different. For example, The value of is 6, The value of is 7.
[0026] The above resource demand value matrix is a × The resource demand value matrix Rank The elements of the column are The smallest element operation Minimal operations and The first channel in the personal computer interaction Personal computer interaction channel The resource demand value between .
[0027] Optionally, the above-mentioned flight missions may include: take-off missions, cruising missions and landing missions, etc.
[0028] Optionally, the above minimum action paradigm may include: powering on and confirming all aircraft systems, pushing the throttle to full afterburner, pulling the joystick when the speed reaches 200 km / h, retracting the landing gear after the aircraft is stable, changing to level flight when the altitude reaches 7500m, and continuously adjusting the aircraft attitude through the joystick, etc.
[0029] Optionally, the human-computer interaction channel may include: a visual interaction channel V, an auditory interaction channel A, a cognitive interaction channel C, a motion interaction channel P, a voice interaction channel S, and a tactile interaction channel T, etc.
[0030] Among them, the visual interaction channel is used to obtain parameter and system status information on the display screen and control panel inside the cockpit, as well as weather and target situation environmental information outside the cockpit.
[0031] The auditory interaction channel is used to obtain warning information in the cockpit, communication information between crew members and command information from the information support system.
[0032] Cognitive interaction channels are used to process information and make judgments and decisions.
[0033] The motion interaction channel is used to cover the operation output information conveyed by limbs / body such as hands, feet, and head.
[0034] The voice interaction channel is used for information communication between crews and air-ground information communication.
[0035] Tactile interaction channels are divided into two categories: active operation interaction channels and passive perception interaction channels. Among them, behaviors driven by task instructions such as touching the screen and pulling the rod are regarded as active operation interaction channels and merged into motion channel information interaction. The perception of surface pressure caused by increased resistance and the perception of weightlessness caused by overload are regarded as passive perception information interaction.
[0036] In step 101, after determining the flight mission, the electronic device can decompose the flight mission to obtain the minimum action paradigm with complete functional attributes. The number of the minimum action paradigm is Then, the electronic device extracts each minimum action paradigm and obtains a corresponding minimum element operation. At this time, the number of the minimum element operations is also Then, the electronic device aggregates the mapping relationship between the minimum element operation and the human-computer interaction channel, and defines the type and number of human-computer interaction channels required for the flight mission. The number is Finally, for each minimum element operation, the electronic device determines the resource requirement value between the minimum element operation and each human-computer interaction channel, and then constructs the resource requirement value matrix of the flight mission based on all the resource requirement values to prepare for the subsequent determination of the target workload of the flight mission.
[0037] Optionally, for The first in the minimal action paradigm Minimal Action Paradigm The method may further include: electronic device structured representation of the minimum action paradigm The attributes of the human-computer interaction behavior elements are used to obtain the corresponding minimum element operation Among them, the minimum element operation At least include: resource channel type , behavioral difficulty and behavioral logic These three characteristics, namely .
[0038] The following are the electronic equipment corresponding to the flight mission The minimum action paradigm contains the minimum element operation, and The human-computer interaction channel constructs a resource requirement value matrix for executing flight missions and elaborates on it: In some embodiments, the electronic device corresponds to the flight mission The minimum action paradigm contains the minimum element operation, and The personal computer interaction channel constructs the resource requirement value matrix for executing the flight mission, which can include: electronic equipment structures the task flow of the flight mission according to the task requirements and operation procedure manual of the flight mission to obtain a discrete task network, which includes The minimum action paradigm corresponding to each of the continuous actions, each minimum action paradigm contains a minimum element operation; Minimal operations Hedi Personal computer interaction channel , the electronic device determines the minimum element operation Human-computer interaction channel Difficulty of behavioral information between , ={1,…, }, ={1,…, }; and based on the difficulty of behavioral information , determine the resource demand value ; The electronic device constructs a resource requirement value matrix for executing the flight mission based on all resource requirement values.
[0039] Among them, the above-mentioned mission requirements refer to the goals or constraints that need to be achieved in the flight mission, such as safe takeoff, on-time landing and maximizing fuel efficiency.
[0040] The above-mentioned operating procedure manual is a standardized document that describes in detail the execution steps, operating specifications and safety requirements of the flight mission.
[0041] The above mission flow refers to the complete sequence of operations from the beginning to the end of a flight mission, usually arranged in chronological or logical order.
[0042] The above discrete task network refers to the process of breaking down the continuous task flow into discrete minimum action paradigms and minimum element operations, and defining the logical relationship between the minimum action paradigms. In other words, the discrete task network includes the above The minimum action paradigm corresponding to each continuous action also includes this The serial and parallel logical relationships between the minimum element operations contained in each minimum action paradigm, where each minimum element operation can realize a complete operation function.
[0043] Behavioral Information Difficulty It refers to the minimum element operation In the human-computer interaction channel The difficulty of execution is usually determined by the complexity of information processing.
[0044] In the embodiment of the present application, first, the electronic device can use the time task analysis method and the hierarchical task analysis method to introduce the time dimension, and perform detailed decomposition of the task requirements and operation procedure manual of the flight mission to achieve the structuring of the task flow of the flight mission, and obtain continuous actions and their corresponding minimum action paradigms, and combined with this The serial and parallel logical relationships between the minimum element operations contained in each of the minimum action paradigms are used to construct a discrete task network. Minimal operations Hedi Personal computer interaction channel , the electronic device can determine the minimum element operation Human-computer interaction channel Difficulty of behavioral information between Based on this, the electronic device can finally determine the corresponding minimum element operation The difficulty of behavioral information, and then The difficulty of behavioral information is determined as The resource requirement values are used to construct a resource requirement value matrix for executing the flight mission, which can also be called a VACP-TS scale.
[0045] For example, Figure 2 , which is a schematic diagram of a discrete task network in a takeoff scenario provided by an embodiment of the present application. Figure 2 It can be seen from the figure that the discrete task network includes the minimum action paradigms corresponding to six continuous actions (i.e., powering on and confirming the entire aircraft system, pushing the throttle to full afterburner, pulling the joystick when the speed reaches 200 km / h, retracting the landing gear after the aircraft stabilizes, changing to level flight at an altitude of 7500m, and continuously adjusting the aircraft attitude through the joystick). It also includes the serial logical relationships and parallel logical relationships between the minimum element operations contained in each of these six minimum action paradigms.
[0046] Optionally, the above The difficulty of each behavior information can be used to construct a behavior difficulty matrix. The behavior difficulty matrix can be used express.
[0047] Next, determine the minimum element operation for the electronic device Human-computer interaction channel Difficulty of behavioral information between To elaborate: In some embodiments, the electronic device determines the minimum element operation Human-computer interaction channel Difficulty of behavioral information between , which may include: electronic equipment responding to the target person's human-computer interaction channel Input difficulty score operation, determine the corresponding The difficulty score results corresponding to each behavior; the electronic device Difficulty score results, determine the minimum meta-operation Human-computer interaction channel Difficulty of behavioral information between .
[0048] The target personnel are flight experts with extensive experience, for example, pilots who frequently conduct air combat test missions.
[0049] The difficulty score is used to indicate the difficulty of the corresponding behavior. That is, the higher the difficulty score, the more difficult the corresponding behavior; the lower the difficulty score, the easier the corresponding behavior.
[0050] In the embodiment of this application, it is assumed that The value is 7, for the human-computer interaction channel Contains 7 kinds of behaviors, the target person can target this human-computer interaction channel Input the difficulty scoring operation to the electronic device, and evaluate the 7 behaviors respectively. The difficulty of each behavior is given in the difficulty selection range of 0 to 7. Then, the electronic device responds to the difficulty scoring operation, determines the difficulty score results corresponding to each of the 7 behaviors, and then determines these 7 difficulty score results as the minimum element operation. Human-computer interaction channel Difficulty of behavioral information between Based on this, the electronic device can determine the corresponding minimum element operation The difficulty of each behavior information is used to prepare for the subsequent construction of the resource demand value matrix.
[0051] Optionally, for each of the above-mentioned 7 behaviors, the electronic device can respond to multiple difficulty scoring operations input by the target person for the behavior, and obtain multiple initial difficulty scoring results corresponding to the behavior; the electronic device then screens these multiple initial difficulty scoring results, retains the initial difficulty scoring results that meet the preset scoring range, and eliminates the initial difficulty scoring results with larger errors, and then determines the statistical value (such as mean, weighted average, etc.) of the retained initial difficulty scoring results as the difficulty scoring result corresponding to the behavior, and the accuracy of the difficulty scoring result is relatively high.
[0052] Optionally, the multiple difficulty scoring operations can be input at predetermined intervals, such as inputting a difficulty scoring operation once on the first day, and then once every seven days, stopping after a predetermined number of difficulty scoring operations are completed. This effectively ensures the accuracy of the difficulty scoring results corresponding to the aforementioned behaviors.
[0053] It should be noted that the existing VACP scale only includes four interaction channels: visual interaction channel, auditory interaction channel, cognitive interaction channel, and motor interaction channel. However, pilots will frequently acquire key information through voice interaction channel and tactile interaction channel during air combat. Therefore, the VACP-TS scale in the embodiment of the present application also involves voice interaction channel and tactile interaction channel.
[0054] Anti-G pressurization generally acts intermittently on the pilot as flight altitude and maneuvering overload change. This additional safety-related information also simultaneously consumes human attention resources. It is classified into seven levels based on its duration and degree of pressurization. Pilots' voice tasks generally occur in three scenarios: air-to-ground communication, inter-machine communication, and intra-machine communication. Seven levels are defined based on the time the pilot's command is output and the length of the command content. Because the two newly added human-machine interaction channels include some behaviors of the four basic motion channels, the "speaking" activity of the motion interaction channel has been adjusted to "touching the screen" and redefined as the fine motor channel.
[0055] For example, eight pilots who frequently conduct flight missions were selected as target personnel to evaluate behaviors across multiple human-machine interaction channels. The eight target personnel independently scored each behavior, with a second evaluation conducted one week apart. After eliminating sample scores with significant individual variance, the statistical value of each behavior score was calculated to obtain the corresponding difficulty score, which was then used to construct a flight mission evaluation scale (see Tables 1a-1f below).
[0056] For example, the difficulty scoring results corresponding to the seven actions included in the visual interaction channel provided in the embodiment of the present application are shown in Table 1a.
[0057] Table 1a: It can be seen from Table 1a that the difficulty scores corresponding to the seven actions included in the visual interaction channel are different.
[0058] For example, the difficulty score results corresponding to the seven actions included in the auditory interaction channel provided in the embodiment of the present application are shown in Table 1b.
[0059] Table 1b: It can be seen from Table 1b that the difficulty scores corresponding to the seven actions included in the auditory interaction channel are different.
[0060] For example, a table showing difficulty score results corresponding to each of the seven actions included in the cognitive interaction channel provided in an embodiment of the present application is shown in Table 1c.
[0061] Table 1c: It can be seen from Table 1c that the difficulty scores corresponding to the seven actions included in the cognitive interaction channel are different.
[0062] For example, a table showing difficulty rating results corresponding to each of the seven actions included in the sports interaction channel provided in an embodiment of the present application is shown in Table 1d.
[0063] Table 1d: It can be seen from Table 1d that the difficulty scores of the seven actions included in the motion interaction channel are different.
[0064] For example, a table showing the difficulty score results corresponding to each of the seven actions included in the voice interaction channel provided in an embodiment of the present application is shown in Table 1e.
[0065] Table 1e: It can be seen from Table 1e that the difficulty scores corresponding to the seven actions included in the voice interaction channel are different.
[0066] For example, the difficulty scoring results corresponding to the seven actions included in the tactile interaction channel provided in the embodiment of the present application are shown in Table 1f.
[0067] Table 1f: It can be seen from Table 1f that the difficulty scores corresponding to the seven actions included in the tactile interaction channel are different.
[0068] Optionally, after step 101, the method may further include at least one of the following implementations: Implementation method 1: The electronic device obtains the flight bus parameters and the time parameters intercepted by the time acquisition device. The time parameters include The execution time of each minimum meta-operation , and the total scheduled execution time of the flight mission .
[0069] The above-mentioned flight bus parameters refer to real-time operating data transmitted through the data bus inside the aircraft.
[0070] Optionally, the above-mentioned time acquisition equipment includes: cockpit video and helmet-type eye movement testing equipment, etc.
[0071] For example, the above preset execution total time It is a time pressure of the entire task process, usually taken as 3 minutes.
[0072] For example, in combination Figure 2 As shown in Table 2, this is a table showing the execution times corresponding to the six minimum element operations in different human-computer interaction channels in the takeoff scenario provided by an embodiment of the present application.
[0073] Table 2: Implementation method 2: The electronic device obtains the operating environment and the operating environment operating environment characteristic parameters, is an integer greater than 1.
[0074] The operating environment refers to the set of external or internal conditions that affect pilot operation, equipment performance, and mission safety during a flight mission. These conditions may originate from within the aircraft (e.g., the cockpit environment) or from outside (e.g., the natural environment, airspace conditions), and directly impact the efficiency and safety of the mission.
[0075] Optionally, the above-mentioned operating environment may include: cockpit environment and battlefield situation environment, etc.
[0076] Optionally, the operating environment characteristic parameters contained in the above-mentioned cabin environment may at least include: noise, vibration, temperature, pressure and other controllable environmental characteristic parameters that significantly affect human operating ability.
[0077] Optionally, the operational environment characteristic parameters included in the battlefield situation environment may include at least incremental operational environment parameters such as intra-crew coordination, inter-machine formation, maneuver requirements, and target quantity. These incremental operational environment parameters primarily include parameters that cause changes in human physiological and psychological states and drastically affect the available resources of various human-machine interaction channels.
[0078] Implementation method 3: The electronic device obtains the NASA-TLX scale.
[0079] Among them, the above-mentioned NASA-TLX scale can be used as a control result to characterize the pilot's subjective perception of difficulty after completing the flight mission, usually using a score range of 0 to 20 as a scale.
[0080] It should be noted that, regardless of the above implementation method 1, implementation method 2, or implementation method 3, all provide data support for the subsequent determination of the target workload.
[0081] Step 102: Take the order of flight mission execution time as the horizontal axis and The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and A Gantt chart is constructed to represent the resource conflict relationship between minimum action paradigms.
[0082] in, The execution time of The execution time and The execution duration is continuous. ={1,…, }.
[0083] It should be noted that the vertical axis of the above Gantt chart is represented from bottom to top. The execution logic sequence of the minimum action paradigm is drawn.
[0084] For example, Figure 3 , which is a schematic diagram of a Gantt chart in a takeoff scenario provided by an embodiment of the present application. Figure 3 It can be seen that the execution time for the entire system to be powered on and confirmed is , the execution time of pushing the throttle to full afterburner state is , the execution time of pulling the joystick when the speed reaches 200km / h is , The execution time of retracting the landing gear after the aircraft is stable is 、The execution time of changing to level flight from altitude of 7500m is , and the execution time of continuously adjusting the aircraft attitude through the joystick is Among them, there is a resource conflict between retracting the landing gear after the aircraft stabilizes and continuously adjusting the aircraft attitude through the joystick; there is also a resource conflict between changing to level flight at an altitude of 7500m and continuously adjusting the aircraft attitude through the joystick.
[0085] Step 103: Determine the resource demand matrix and the resource conflict coefficient matrix according to the Gantt chart. The task resource requirements corresponding to each execution duration.
[0086] The preset resource conflict coefficient matrix includes conflict coefficients for multiple channel resources (resource conflict coefficients for short). This resource conflict coefficient refers to the degree of conflict that may arise when resources are shared between different actions or different human-computer interaction channels. It is used to measure the mutual interference or resource competition between different actions when executing multiple actions simultaneously.
[0087] It should be noted that the resource conflict coefficient is a relative indicator; its specific value may vary depending on factors such as experimental design, task attributes, and individual differences. It is generally characterized by normalizing indicators such as task execution time or accuracy to a range between 0 and 1, and then calculating the average or overall difference between different actions. For newly added interaction channel types, a fuzzy evaluation is performed between different channels to obtain the conflict level of the newly added channel.
[0088] For example, the above preset resource conflict coefficient matrix is shown in Table 3.
[0089] Table 3: Among them, task A represents a minimum action paradigm in the minimum action paradigm; task B represents another minimum action paradigm in the minimum action paradigm, and task A is different from task B.
[0090] As can be seen from Table 3, the lower limit of the resource conflict coefficient of each paired interaction channel is 0.2, the resource conflict coefficient of each partially overlapping resource will have an additional conflict value of 0.2, and the maximum capacity when sharing resources is 0.8.
[0091] It should be noted that the higher the resource conflict coefficient, the greater the resource conflict between different minimum action paradigms; the lower the resource conflict coefficient, the smaller the resource conflict between different minimum action paradigms.
[0092] Next, we determine the electronic equipment based on the Gantt chart, resource demand value matrix and preset resource conflict coefficient matrix. The task resource requirements corresponding to each execution time are elaborated in detail: In some embodiments, the electronic device determines the resource demand matrix and the preset resource conflict coefficient matrix according to the Gantt chart. The task resource requirements corresponding to each execution time can include: Execution time, ={1,…, }; Electronic equipment from In the minimum element operation, determine the The electronic device determines the first minimum element operation according to the resource requirement value matrix of each of the minimum element operations and the resource conflict coefficient corresponding to any two element operations of the minimum element operations in the preset resource conflict coefficient matrix. The task resource requirements within the execution time.
[0093] In the embodiment of the present application, the electronic device traverses the Gantt chart. Execution time, for the current Execution time, first from the above In the minimum element operation, determine the The first minimum operation is determined based on the resource requirement values of the aforementioned minimum operations in the resource requirement value matrix and the resource conflict coefficients corresponding to any two of the minimum operations in the preset resource conflict coefficient matrix. Based on this, the electronic device can determine the task resource requirements within each execution time in preparation for subsequent determination of the target workload.
[0094] Next, the electronic device is determined based on the resource demand values of the multiple minimum element operations in the resource demand value matrix and the resource conflict coefficients corresponding to any two element operations of the multiple minimum element operations in the preset resource conflict coefficient matrix. The resource requirements of each task within the execution time are elaborated in detail: In some embodiments, the electronic device determines the first resource request based on the resource requirement values of the plurality of minimum element operations in the resource requirement value matrix and the resource conflict coefficients corresponding to any two element operations of the plurality of minimum element operations in the preset resource conflict coefficient matrix. The task resource requirements within the execution time may include: the electronic device sums the resource requirement values of multiple minimum element operations in the resource requirement value matrix to obtain the first the total resource requirement value within the execution time; for a first minimum meta-operation and a second minimum meta-operation among the multiple minimum meta-operations, the electronic device determines a first resource conflict coefficient corresponding to the first minimum meta-operation and the second minimum meta-operation from a preset resource conflict coefficient matrix; determines a first resource conflict requirement value corresponding to the first minimum meta-operation and the second minimum meta-operation based on a summation result between the resource requirement value corresponding to the first minimum meta-operation and the resource requirement value corresponding to the second minimum meta-operation and the first resource conflict coefficient; for a third minimum meta-operation and a second minimum meta-operation among the multiple minimum meta-operations, the electronic device determines a second resource conflict coefficient corresponding to the second minimum meta-operation and the third minimum meta-operation from a preset resource conflict coefficient matrix; determines a second resource conflict requirement value corresponding to the second minimum meta-operation and the third minimum meta-operation based on a summation result between the resource requirement value corresponding to the second minimum meta-operation and the resource requirement value corresponding to the third minimum meta-operation and the second resource conflict coefficient; and so on, the electronic device determines the resource conflict requirement values corresponding to any two meta-operations of the multiple minimum meta-operations; the electronic device determines the first minimum meta-operation based on a summation result between the summation result of all resource conflict requirement values and the total resource requirement value. The task resource requirements within the execution time.
[0095] In the embodiment of this application, Task resource requirements within the execution time It can be calculated using the task resource demand assessment model, which is: .
[0096] in, It represents the sum of the conventional requirements for channel resources, i.e. the total resource requirement value mentioned above; represents the sum of conflicting resource demands, i.e. the sum of all the above conflicting resource demands; represents the total number of minimal action paradigms; Indicates the total number of human-computer interaction channels; The subscript set representing the resource requirement values (non-zero) of all minimum action paradigms, ,and and No order, no repeated addition; Represents the resource conflict coefficient corresponding to the human-computer interaction channel p and the human-computer interaction channel q in the preset resource conflict coefficient matrix; represents the conflict resource demand value corresponding to the human-computer interaction channel p; Represents the conflict resource demand value corresponding to the human-computer interaction channel q.
[0097] For example, combining Table 1a-Table 1f, Table 3 and Figure 3 , the electronic device determines the task resource requirements within 6 execution durations based on the above task resource requirement evaluation model. These 6 execution durations are 、 、 、 、 and .
[0098] Specifically, Task resource requirements within The calculation process is as follows: (4+1.2+2.2)+[(4+1.2)*0.5+(4+2.2)*0.5+(1.2+2.2)*0.4]=14.46.
[0099] Task resource requirements within The calculation process is as follows: (1+4.6+2.6)+[(1+4.6)*0.5+(1+2.6)*0.5+(4.6+2.6)*0.4]=15.68.
[0100] Task resource requirements within The calculation process is as follows: (5.1+5+2.6)+[(5.1+5)*0.5+(5.1+2.6)*0.5+(5+2.6)*0.4]=24.64.
[0101] Task resource requirements within The calculation process is as follows: (1+4.6+5.5+4.4+4.6+4.6)+[(1+4.6)*0.5+(1+5.5)*0.5+(1+4.4)*0.8 +(1+4.6)*0.5+(1+4.6)*0.5+(4.6+5.5)*0.4+(4.6+4.4)*0.5 +(4.6+4.6)*0.8+(4.6+4.6)*0.4+(5.5+4.4)*0.5+(5.5+4.6)*0.4 +(5.5+4.6)*0.8+(4.4+4.6)*0.5+(4.4+4.6)*0.5+(4.6+4.6)*0.4]=90.
[0102] Task resource requirements within The calculation process is as follows: (5.1+4.6+2.2+4.4+4.6+4.6) +[(5.1+4.6)*0.5+(5.1+2.2)*0.5+(5.1+4.4)*0.8+(5.1+4.6)*0.5 +(5.1+4.6)*0.5+(4.6+2.2)*0.4+(4.6+4.4)*0.5+(4.6+4.6)*0.8 +(4.6+4.6)*0.4+(2.2+4.4)*0.5+(2.2+4.6)*0.4+(2.2+4.6)*0.8 +(4.4+4.6)*0.5+(4.4+4.6)*0.5 +(4.6+4.6)*0.4]=93.7.
[0103] Task resource requirements within The calculation process is as follows: 4.4+4.6+4.6)+[(4.4+4.6)*0.5+(4.4+4.6)*0.5+(4.6+4.6)*0.4]=26.28.
[0104] It should be noted that, combined with Figure 3 , for the above Task resource requirements within The calculation process, execution time The minimum action paradigm only corresponds to the whole system powering on and confirming this. It does not involve the resource conflict coefficients between the human-computer interaction channels of different minimum action paradigms. Only the conflict coefficients between the three human-computer interaction channels of the minimum action paradigm itself need to be considered. Referring to Table 1a-Table 1f above, this minimum action paradigm activates the visual interaction channel (corresponding resource requirement value of 4.0), the cognitive interaction channel (corresponding resource requirement value of 1.2) and the motion interaction channel (corresponding resource requirement value of 2.2). Therefore, it can be determined that within = (4+1.2+2.2). Then follow The calculation method is based on the resource conflict coefficient between any two human-computer interaction channels in the activated human-computer interaction channel. within The minimum action paradigm activates the three human-computer interaction channels: visual interaction channel, cognitive interaction channel, and motion interaction channel. Therefore, there are several combinations of activated human-computer interaction channels: visual interaction channel-cognitive interaction channel, visual interaction channel-motion interaction channel, and cognitive interaction channel-motion interaction channel. According to Table 3, the resource conflict coefficient of the visual interaction channel-cognitive interaction channel is 0.5, the resource conflict coefficient of the visual interaction channel-motion interaction channel is 0.5, and the resource conflict coefficient of the cognitive interaction channel-motion interaction channel is 0.4. It can be determined that within It is [(4+1.2)*0.5+(4+2.2)*0.5+(1.2+2.2)*0.4].
[0105] It is understandable that Task resource requirements within The calculation process and Task resource requirements within The calculation process is the same as above Task resource requirements within The calculation process of is similar and will not be described in detail here.
[0106] It should be noted that, combined with Figure 3 , for the above Task resource requirements within The calculation process and execution time The two minimum action paradigms involved are retracting the landing gear after the aircraft is stable and continuously adjusting the aircraft attitude through the joystick. Therefore, the human-computer interaction channel with a non-zero resource requirement value includes the visual interaction channel, cognitive interaction channel, and motion interaction channel activated by the minimum action paradigm of retracting the landing gear after the aircraft is stable, as well as the visual interaction channel, cognitive interaction channel, and motion interaction channel activated by continuously adjusting the aircraft attitude through the joystick. When calculating the resource requirement value, it is not only necessary to In addition to combining the resource requirements of the minimum action paradigm in different human-computer interaction channels, it is also necessary to combine the resource requirements between the human-computer interaction channels activated by different minimum action paradigms. The calculation process after combination can refer to the above Task resource requirements within The calculation process of is not described in detail here.
[0107] It is understandable that Task resource requirements within The calculation process and Task resource requirements within The calculation process is the same as above Task resource requirements within The calculation process of is similar to that of , which will not be described in detail here.
[0108] Step 104: Task resource requirements and The execution time is used to determine the target workload of the flight mission.
[0109] Among them, workload can be represented by the amount of resources required by the pilot to invest in the task process of the flight mission. The execution of this flight mission involves two parts of resources, namely the information processing resources of each human-computer interaction channel required to obtain information and the allocated time resources.
[0110] The following electronic equipment Task resource requirements and The target workload of the flight mission is determined by the execution time and elaborated in detail: In some embodiments, the electronic device Task resource requirements and The target workload of the flight mission can be determined by the execution time of the electronic equipment according to the Task resource requirements, The electronic device determines the current workload of the flight mission based on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission, and determines the target workload of the flight mission.
[0111] In the embodiment of the present application, the electronic device can Task resource requirements, The electronic device then calculates the pilot's current workload based on the mission's execution duration and the mission's scheduled total execution duration. The electronic device then determines the objective difficulty of the current workload and, based on the NASA-TLX scale, the pilot's subjective perceived difficulty after completing the mission. The electronic device then calculates the objective and subjective perceived difficulty to obtain the target workload for the mission.
[0112] Optionally, when the electronic device determines the objective difficulty of the current workload, it is first determined that the current workload is between 0 and 7, which is consistent with the difficulty representation scale defined by VACP, and then the objective difficulty is divided into four difficulty levels. The four difficulty levels are [0, 2) for low difficulty, [2, 4) for medium difficulty, [4, 5) for medium-high difficulty, and [5, 7] for high difficulty.
[0113] Optionally, when the electronic device determines the pilot's subjective perceived difficulty after completing the flight mission, the subjective perceived difficulty may be divided into four difficulty levels according to the NASA-TLX scale. The four difficulty levels are [0, 5) for low difficulty, [6, 10) for medium difficulty, [11, 15) for medium-high difficulty, and [16, 20) for high difficulty.
[0114] The following electronic equipment Task resource requirements, The current workload of the flight mission is determined by considering the execution time of each mission and the preset total execution time of the mission. In some embodiments, the electronic device Task resource requirements, The current workload of the flight mission is determined by the execution time of each flight mission and the preset total execution time of the flight mission, which may include: Among the resource requirements of each task, determine Within the execution time Task resource requirements, is greater than 1 and less than or equal to The electronic device will The resource requirements of each task are multiplied by their corresponding execution time to obtain The electronic device is based on The current workload of the flight mission is determined by summing the product results and the preset total execution time of the flight mission.
[0115] Optionally, the current workload may be calculated using a workload evaluation model, which is: .
[0116] in, Indicates the The current workload within the execution time; Indicates the The resource requirement value of the minimum action paradigm within the execution time, The minimum number of action patterns within the execution time is indivual; Indicates resource demand value Actual duration of the session; express The sum of the product results; Indicates the total duration of the preset execution.
[0117] For example, combining Table 1a-Table 1f, Table 3 and Figure 3 , the electronic device determines the preset total execution time based on the above workload evaluation model The current workload within.
[0118] Specifically, the current workload The calculation process is as follows: .
[0119] The following is a detailed explanation of how the electronic equipment determines the target workload of a flight mission based on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission: In some embodiments, the electronic device determines the target workload of the flight mission based on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission, which may include: the electronic device performs linear regression on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission to determine the fitting result between the current workload and the flight mission; if the fitting result indicates that there is no singularity between the current workload and the flight mission, the current workload is determined as the target workload; if the fitting result indicates that there is a singularity between the current workload and the flight mission, the current workload is determined as the target workload. operating environment characteristic parameters and A personal computer interaction channel is used to construct a control matrix; the resource demand value matrix is corrected according to the control matrix to obtain a corrected resource demand value matrix; and the target workload is determined according to the corrected resource demand value matrix.
[0120] The control matrix is used to correct for differences in behavioral information difficulty between the real-world operating environment and the baseline environment, primarily affecting the behavioral information difficulty of the minimum element operation. The correction dimension of this control matrix is primarily the weighted ratio of the characteristic parameters of the operating environment to the behavioral information difficulty of the human-computer interaction channel itself.
[0121] In other words, the control coefficient matrix is the coupling relationship between the environment type and each human-computer interaction channel, which can be used Indicates. Among them, Indicates the The working environment characteristic parameters and The control coefficient corresponding to the personal computer interaction channel, ={1,…, }.
[0122] It should be noted that the influence coefficients of each different operating environment characteristic parameter on each human-computer interaction channel are significantly different.
[0123] Optionally, the above control coefficient It can be calculated by the ratio of the reaction time of the operation behavior in the real working environment to the change of the environmental parameters.
[0124] In an embodiment of the present application, after determining the objective difficulty and the subjectively perceived difficulty, the electronic device may perform a linear regression on the two difficulty results to determine the matching and fit between the two difficulty results, thereby obtaining a fitting result. The fitting result is used to indicate whether there is a singularity between the current workload and the flight mission. If the fitting result indicates that there is no singularity, it indicates that there is a good match and consistency between the current workload and the flight mission. In this case, the current workload can be directly determined as the target workload.
[0125] If the fitting result indicates the existence of a singular point, it means that the matching and consistency between the current workload and the flight mission are poor. Therefore, a new current workload needs to be calculated. Specifically, the electronic device first obtains operating environment characteristic parameters and Personal computer interaction channel, and determine operating environment characteristic parameters and The electronic device then modifies the resource demand value matrix according to the control matrix to obtain a modified resource demand value matrix, and then recalculates the new current workload to determine the target workload.
[0126] Optionally, the electronic device is configured to control the matrix , modify the above resource demand value matrix to obtain the modified resource demand value matrix to determine the New task resource requirements within the execution time It can be calculated using the task resource demand assessment model. In this case, the task resource demand assessment model is: .
[0127] Optionally, the above fitting results can also characterize the degree of matching between the current workload and the flight mission. In this case, if the matching degree is greater than a preset matching threshold, the current workload is directly determined as the target workload. If the matching degree is less than or equal to the preset matching threshold, the above resource demand value matrix is corrected according to the control matrix to obtain the corrected resource demand value matrix, and then the new current workload is recalculated to determine the target workload.
[0128] Exemplarily, the preset matching threshold is set to 95%.
[0129] For example, as shown in Table 4, it is a comparison table of the matching test results of the target workload of the six minimum action paradigms provided in the embodiment of the present application and the NASA-TLX scale.
[0130] Table 4: As can be seen from Table 4, the target workload of the above six minimal action paradigms was matched with the NASA-TLX scale, and the matching accuracy was determined to be 87.5%.
[0131] For example, as shown in Table 5, it is a table of correction coefficients of the difficulty of behavioral information corresponding to each human-computer interaction channel based on the characteristic parameters of the working environment provided in an embodiment of the present application.
[0132] Table 5: Based on Table 5 above, after the calculated current workload is corrected by the noise coefficient, the matching rate between the re-inspected target workload and the flight mission can reach 97%.
[0133] In the embodiment of the present application, the technical solution of steps 101 to 104 avoids reliance on ambiguous empirical judgments and reduces subjective errors. By analyzing data such as a resource demand value matrix, a Gantt chart, and a preset resource conflict coefficient matrix, the workload of the flight mission can be obtained with high accuracy, facilitating the reasonable scheduling and planning of flight missions and pilots.
[0134] In addition, the workload determination method for flight missions provided in the embodiments of the present application is based on the task interaction characteristics of the cockpit. It expands the existing VACP scale with 4 channels and 28 interactive behaviors to 6 channels and 42 behaviors. Through pilot statistical experiments, the information requirements of each interactive behavior are supplemented and defined. The residual resource theory is used to define a computational theoretical model for workload assessment during air combat mission operations. Dynamic correction variables and conflict coefficients are introduced around the four elements of mission, environment, human-machine relationship, and mission performance, forming a workload determination method that can dynamically adapt to tasks. By quantifying workload through resource demand matching, the system has strong adaptability, versatility, and feasibility in mission scenarios, and can effectively support the design optimization of operating procedures, cockpit interaction interfaces, and crew task allocation.
[0135] The workload determination device for a flight mission provided in an embodiment of the present application is described below. The workload determination device for a flight mission described below and the workload determination method for a flight mission described above can be referenced to each other.
[0136] Figure 4 This is a schematic diagram of the structure of the flight mission workload determination device provided by the embodiment of the present application. Figure 4 As shown, the device includes: a data processing module 401 and a workload determination module 402.
[0137] Data processing module 401 is used to process data according to the flight mission. The minimum action paradigm contains the minimum element operation, and The human-computer interaction channel builds the resource requirement value matrix for executing the flight mission. and are all integers greater than 1; the horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and the Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution duration.
[0138] Workload determination module 402 is used to determine the workload of The resource requirements of each task and the The execution time is used to determine the target workload of the flight mission.
[0139] Optionally, the data processing module 401 is specifically used to structure the task flow of the flight mission according to the task requirements and operation procedure manual of the flight mission to obtain a discrete task network, which includes The minimum action paradigm corresponding to each of the continuous actions, each minimum action paradigm contains a minimum element operation; Minimal operations Hedi Personal computer interaction channel , determine the minimum element operation With the human-computer interaction channel Difficulty of behavioral information between , ={1,…, }, ={1,…, }; and based on the difficulty of the behavior information , determine the resource demand value ; Based on all resource requirement values, construct a resource requirement value matrix for executing the flight mission.
[0140] Optionally, the data processing module 401 is specifically used for the first Execution time, ={1,…, }; From this In the minimum element operation, determine the multiple minimum element operations within the execution time; determine the first minimum element operation according to the resource requirement value matrix of each of the multiple minimum element operations and the resource conflict coefficients corresponding to any two element operations of the multiple minimum element operations in the preset resource conflict coefficient matrix The task resource requirements within the execution time.
[0141] Optionally, the workload determination module 402 is specifically configured to determine the workload according to the The resource requirements of each task, The current workload of the flight mission is determined based on the individual execution times and the preset total execution time of the flight mission; the target workload of the flight mission is determined based on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission.
[0142] Optionally, the data processing module 401 is specifically configured to respond to the target person's response to the human-computer interaction channel. Input difficulty score operation, determine the corresponding The difficulty score results corresponding to each behavior; Difficulty score results, determine the minimum meta-operation With the human-computer interaction channel Difficulty of behavioral information between .
[0143] Optionally, the data processing module 401 is specifically configured to sum the resource requirement values of the plurality of minimum element operations in the resource requirement value matrix to obtain the first the total resource requirement value within the execution time; for a first minimum meta-operation and a second minimum meta-operation among the multiple minimum meta-operations, determining a first resource conflict coefficient corresponding to the first minimum meta-operation and the second minimum meta-operation from the preset resource conflict coefficient matrix; determining a first resource conflict requirement value corresponding to the first minimum meta-operation and the second minimum meta-operation based on a summation of the resource requirement value corresponding to the first minimum meta-operation and the resource requirement value corresponding to the second minimum meta-operation and the first resource conflict coefficient; for a third minimum meta-operation and the second minimum meta-operation among the multiple minimum meta-operations, determining a second resource conflict coefficient corresponding to the second minimum meta-operation and the third minimum meta-operation from the preset resource conflict coefficient matrix; determining a second resource conflict requirement value corresponding to the second minimum meta-operation and the third minimum meta-operation based on a summation of the resource requirement value corresponding to the second minimum meta-operation and the resource requirement value corresponding to the third minimum meta-operation and the second resource conflict coefficient; and so on, determining the resource conflict requirement values corresponding to any two meta-operations of the multiple minimum meta-operations; determining the resource conflict requirement values corresponding to the third minimum meta-operation based on a summation of all resource conflict requirement values and the total resource requirement value. The task resource requirements within the execution time.
[0144] Optionally, the workload determination module 402 is specifically configured to: In the resource requirements of each task, determine the Within the execution time Task resource requirements, is greater than 1 and less than or equal to An integer; The resource requirements of each task are multiplied by their corresponding execution time to obtain product results; according to the The current workload of the flight mission is determined by summing the product results and the preset total execution time of the flight mission.
[0145] Optionally, the workload determination module 402 is specifically configured to perform a linear regression on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission, and determine a fitting result between the current workload and the flight mission; if the fitting result indicates that there is no singularity between the current workload and the flight mission, then determine the current workload as the target workload; if the fitting result indicates that there is a singularity between the current workload and the flight mission, then determine the current workload as the target workload according to the following formula: The working environment characteristic parameters and the Personal computer interaction channel, building a control matrix, is an integer greater than 1; according to the control matrix, the resource demand value matrix is corrected to obtain a corrected resource demand value matrix, and according to the corrected resource demand value matrix, the target workload is determined.
[0146] Figure 5 Schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Figure 5 As shown, the electronic device may include: a processor 510, a communications interface 520, a memory 530, and a communications bus 540. The processor 510, the communications interface 520, and the memory 530 communicate with each other via the communications bus 540. The processor 510 may invoke logic instructions in the memory 530 to execute the workload determination method for the flight mission.
[0147] In addition, the logical instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the existing technology, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program code.
[0148] On the other hand, an embodiment of the present application also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the workload determination method of the flight mission provided by the above-mentioned methods.
[0149] On the other hand, an embodiment of the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a workload determination method for a flight mission provided by the above-mentioned methods.
[0150] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.
[0151] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.
[0152] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for determining the workload of a flight mission, characterized in that: include: According to the flight mission The minimum action paradigm contains the minimum element operation, and A human-computer interaction channel is used to construct a resource requirement matrix for executing the flight mission. and are all integers greater than 1; The horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and the Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution time; according to The resource requirements of each task and the The target workload of the flight mission is determined by the execution time.
2. The method for determining the workload of a flight mission according to claim 1, wherein: The corresponding flight mission The minimum action paradigm contains the minimum element operation, and The human-computer interaction channel constructs a resource requirement value matrix for executing the flight mission, including: According to the mission requirements and operation procedure manual of the flight mission, the mission process of the flight mission is structured to obtain a discrete mission network, which includes Each of the continuous actions corresponds to a minimum action paradigm, and each minimum action paradigm contains a minimum element operation; For the Minimal operations Hedi Personal computer interaction channel , determine the minimum element operation With the human-computer interaction channel Difficulty of behavioral information between , ={1,…, }, ={1,…, }; and based on the difficulty of the behavior information , determine the resource demand value ; A resource requirement value matrix for executing the flight mission is constructed based on all resource requirement values.
3. The method for determining the workload of a flight mission according to claim 1 or 2, characterized in that: The Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix are used to determine The task resource requirements corresponding to each execution duration include: For the Gantt chart Execution time, ={1,…, }; From the said In the minimum element operation, determine the Multiple minimal meta-operations within the execution time; According to the resource requirement values of the plurality of minimum element operations in the resource requirement value matrix and the resource conflict coefficients corresponding to any two element operations of the plurality of minimum element operations in the preset resource conflict coefficient matrix, the first The task resource requirements within the execution time.
4. The method for determining the workload of a flight mission according to claim 3, wherein: The basis The resource requirements of each task and the The target workload of the flight mission is determined by the execution time, including: According to the Task resource requirements, The current workload of the flight mission is determined based on the execution time of each flight mission and the preset total execution time of the flight mission; The target workload of the flight mission is determined according to the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission.
5. The method for determining the workload of a flight mission according to claim 2, wherein: Each human-computer interaction channel includes Behavior, is an integer greater than 1, the minimum element operation is determined With the human-computer interaction channel Difficulty of behavioral information between ,include: The target person responds to the human-computer interaction channel Input difficulty score operation, determine the corresponding The difficulty score results corresponding to each behavior; according to Difficulty scoring results, determine the minimum meta-operation With the human-computer interaction channel Difficulty of behavioral information between .
6. The method for determining the workload of a flight mission according to claim 3, wherein: The resource requirement values of the plurality of minimum element operations in the resource requirement value matrix and the resource conflict coefficients corresponding to any two element operations of the plurality of minimum element operations in the preset resource conflict coefficient matrix are used to determine the first The task resource requirements within the execution time include: The resource requirement values of the plurality of minimum element operations in the resource requirement value matrix are summed to obtain the first The total resource demand value within the execution time; For a first minimal meta-operation and a second minimal meta-operation among the multiple minimal meta-operations, determining a first resource conflict coefficient corresponding to the first minimal meta-operation and the second minimal meta-operation from the preset resource conflict coefficient matrix; and determining a first resource conflict requirement value corresponding to the first minimal meta-operation and the second minimal meta-operation based on a sum of a resource requirement value corresponding to the first minimal meta-operation and a resource requirement value corresponding to the second minimal meta-operation and the first resource conflict coefficient; For a third minimal meta-operation and the second minimal meta-operation among the multiple minimal meta-operations, determining a second resource conflict coefficient corresponding to the second minimal meta-operation and the third minimal meta-operation from the preset resource conflict coefficient matrix; and determining a second resource conflict requirement value corresponding to the second minimal meta-operation and the third minimal meta-operation based on a sum of a resource requirement value corresponding to the second minimal meta-operation and a resource requirement value corresponding to the third minimal meta-operation and the second resource conflict coefficient; Similarly, determining the resource conflict requirement values corresponding to any two meta-operations of the multiple minimum meta-operations; Determine the first The task resource requirements within the execution time.
7. The method for determining the workload of a flight mission according to claim 4, wherein: According to the Task resource requirements, The current workload of the flight mission is determined based on the execution time of each flight mission and the preset total execution time of the flight mission, including: From the said In the resource requirements of each task, determine the Within the execution time Task resource requirements, is greater than 1 and less than or equal to integer; The The resource requirements of each task are multiplied by their corresponding execution time to obtain The product result; According to the The current workload of the flight mission is determined by summing the product results and the preset total execution time of the flight mission.
8. The method for determining the workload of a flight mission according to claim 4, wherein: Determining the target workload of the flight mission based on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission includes: Performing a linear regression on the objective difficulty of the current workload and the subjective difficulty perceived by the pilot after completing the flight mission to determine a fitting result between the current workload and the flight mission; If the fitting result indicates that there is no singularity between the current workload and the flight mission, determining the current workload as the target workload; If the fitting result indicates that there is a singularity between the current workload and the flight mission, then The operating environment characteristic parameters and the Personal computer interaction channel, building a control matrix, is an integer greater than 1; according to the control matrix, the resource demand value matrix is corrected to obtain a corrected resource demand value matrix, and according to the corrected resource demand value matrix, the target workload is determined.
9. A device for determining workload of a flight mission, characterized in that: include: Data processing module, used to process data according to the flight mission The minimum action paradigm contains the minimum element operation, and A human-computer interaction channel is used to construct a resource requirement matrix for executing the flight mission. and are all integers greater than 1; the horizontal axis is the order of the execution time of the flight mission, and the The execution logic order of the minimum action paradigm is the vertical axis, according to The execution time of each minimum meta-operation and the Minimum action paradigms are constructed to construct a Gantt chart for characterizing the resource conflict relationship between minimum action paradigms; The execution time of The execution time and The execution duration is continuous. ={1,…, }; According to the Gantt chart, the resource demand value matrix and the preset resource conflict coefficient matrix, determine The task resource requirements corresponding to each execution time; Workload determination module, used to determine the The resource requirements of each task and the The target workload of the flight mission is determined by the execution time.
10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for determining the workload of the flight mission according to any one of claims 1 to 8 is implemented.