CN107644566A - A kind of brain electricity evaluation system of the simulated flight device based on brain electricity - Google Patents
A kind of brain electricity evaluation system of the simulated flight device based on brain electricity Download PDFInfo
- Publication number
- CN107644566A CN107644566A CN201710707208.0A CN201710707208A CN107644566A CN 107644566 A CN107644566 A CN 107644566A CN 201710707208 A CN201710707208 A CN 201710707208A CN 107644566 A CN107644566 A CN 107644566A
- Authority
- CN
- China
- Prior art keywords
- data
- brain electricity
- subsystem
- brain
- flight
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The invention discloses a kind of brain electricity evaluation system of the simulated flight device based on brain electricity, the system includes simulated flight simulation analysis system, simulated flight control loop and brain electricity experimental system.The present invention, with brain power technology and flight simulation technology, has built the simulated flight driving platform of a set of fusion brain electric system for the purpose of exploratory flight person's driving experience.Subject personnel produce a series of EEG signals by operation simulation flight management system and after receiving the feedback from system, gather, show and record through brain electricity experimental system, simulated flight simulation analysis system is handled and stored to brain electricity event data caused by simulated flight control loop and real-time time stamp.Flight test terminates relief subject personnel and carries out evaluation of mental workload to each task, with reference to eeg data so as to analyze the Mental Workload of operating personnel.The system platform provides good experiment and training platform for the problems such as exploratory flight person's Mental Workload, mental fatigue.
Description
Technical field
The invention belongs to aircraft simulation technical field, more particularly, to a kind of brain electricity of the simulated flight device based on brain electricity
Evaluation system.
Background technology
With the development of aircraft industry, flight simulator has obtained extensive utilization in aviation field.It can not only
Make pilot ground environment carry out high emulation flight training, moreover it is possible to verify aircraft subsystems design whether satisfaction property
It can require, important reference is provided to optimize the design of aircraft subsystems.Further, since the design of type aircraft especially military secret
Increasingly complex, the requirement in aircraft cockpit to the manually operated ability of pilot gradually weaken, and pay close attention to it meter interface letter
The requirement for ceasing and then carrying out decision-making is more prominent.Which results in the decline of the physical load of pilot, what Mental Workload improved shows
As.Meanwhile although studies have found that flight safety technology is increasingly improving, aircraft accident proportion caused by human factor
But the reason for remaining high always, causing these aircraft accidents is all in high Mental Workload state and brain for a long time with pilot
The problems such as power fatigue, is closely bound up.Therefore using flight simulator come the Mental Workload of pilot in research aircraft driving procedure and
The problems such as mental fatigue, important theory can be provided for optimization aircraft cockpit human design, raising man-machine interface interactive efficiency
Foundation.
At present, in order to study application of the brain power technology in flight simulator, domestic and foreign scholars have been carried out multinomial correlation and ground
Study carefully, it was demonstrated that brain electric energy enough in real time, the change of continuous reflection pilot's brain function, it is and with flight performance closely related,
Relative to other physical signs (eye moves index, electrocardiographicdata data etc.), brain electricity is assessing the work of limb control motion and vision input
Make to put up the best performance in load, there is higher differentiation accuracy rate.But most of existing research is under the static environment in laboratory
The special flight simulator of a certain type built, by designing specific flight experiment link, is grasped on visual display device
Make and test and appraisal, it is single that this flight simulation system has a flying simulation model, set expandability and poor universality, flying quality pipe
The shortcomings that reason is not enough improved with analysis.In addition, current flight simulator is mainly used in the flight training of pilot and new
The research of aircraft, lack can simulated flight process and can pilot's Mental Workload and mental fatigue are tested and assessed it is comprehensive
Close function.
The content of the invention
To comment in order to solve the above technical problems, the invention provides a kind of brain electrical measurement of the simulated flight device based on brain electricity and be
System, disclosure satisfy that the flying simulation model of a variety of designed, designeds, system can be extended, and load the aircraft machine of exterior design
Type, and can easily carry out data management and analysis using unified interface parameter.
Complete technical scheme of the invention includes:
A kind of brain electricity evaluation system of the simulated flight device based on brain electricity, it is characterised in that including:
Simulating table hardware system (1), simulated flight simulation analysis system (2), simulated flight control loop (3) and brain
Electric experimental system (4);
Described simulating table hardware system (1) is used for the actual physical situation for simulating aircraft cockpit;
Described simulated flight simulation analysis system (2), shown, in real time for simulation flow management, flight simulation parameter
Parameter curve is shown and data record and data management;
Described simulated flight control loop (3), during internal manipulation environment and flight for simulating aircraft cockpit
Real-time flight state and external environment condition;
Described brain electricity experimental system (4), recorded for brain wave acquisition and pretreatment, flight operation performance and mental negative
Lotus and fatigue strength test and appraisal.
The brain electricity experimental system (4) includes:Brain wave acquisition subsystem (41), eeg data show recording subsystem (42)
Recording subsystem (42) is shown with eeg data;
The brain wave acquisition subsystem (41), for the collection of brain electricity and the pretreatment of eeg data, and by eeg data
It is transferred to the eeg data and shows recording subsystem (42);
The eeg data shows recording subsystem (42), and the curve for eeg data is shown and data storage;
The mental workload assessment subsystem (43), tried for evaluating pilot during aerial mission is performed with flight
Mental Workload degree after testing.
The brain wave acquisition subsystem (41) includes:High density external labeling type mesh electrode cap and the special amplifier of brain electricity,
The high density external labeling type mesh electrode cap, for connecting human brain collection EEG signals, and the brain collected is electric
Signal is transferred to the special amplifier of brain electricity;
The special amplifier of the brain electricity, for being amplified to the EEG signals collected and carrying out digital filtering, will
To signal be transferred to eeg data show recording subsystem (42).
The eeg data shows that the function of recording subsystem (42) includes:
Data collection session is created, is created for data acquisition software and safeguards a brain wave acquisition recording conversation, at this
Eeg recording can be suspended or be stopped to ession for telecommunication;
Terminate data collection session, for the data collection session for terminating to be newly created;
The synchronous data collection time, for sending time synchronized order, and attach the real-time of visual simulation subsystem (32)
Timestamp;
Start recording brain electricity, for control data acquisition software start recording brain electricity;
Terminate record brain electricity, for control data acquisition software stop recording brain electricity;
Event flag is sent, for sending event flag order to data acquisition software, and attaches real-time time stamp, data
Acquisition software according to timestamp by event name label in eeg data.
The mental workload assessment subsystem (43) includes:
Brain electricity experimental design part, for designing the experiment of different Mental Workload states, make same subject personnel in difference
Period, outside identical under experiment condition, carry out the simulated flight task of different difficulty;
Simulated flight task design part, for designing the simulated flight task of different difficulty, providing subject personnel
The flight course that aircraft flies to landing from is completed in time range.
Experimental data preprocessing part, for the pretreatment of eeg data, including eeg data is with stimulating event data
Fusion, eye electricity, segmentation are removed, filtering, baseline adjustment, Muscle artifacts is excluded, deletes bad electrode, average superposition, preserving and total flat
;
Analysis of experimental results part, on the basis of original data processing is completed, carrying out EEG signals power spectrum point
Analysis, MMN and P3a interpretations of result and subjective evaluation result analysis.
Brain electricity experimental arrangement design completion experiment flow simultaneously smooth for assistant experiment personnel, is avoided as far as possible
Occurs artificial intervention during brain wave acquisition.
The brain electricity experimental arrangement design includes:
Aerial mission indicating section, for showing the flow of task information of this experiment, subject personnel are made to grasp as indicated
Vertical aircraft flight;
Part is presented in stimulation event, for being tested personnel according to different tasks to meter information, HUD instructions, acousto-optic thorn
It is sharp etc. to make key response;
Aerial mission performance records part, recorded performance in database for system;
Mental Workload subjective assessment part, for after experiment terminates system present NASA-TLX evaluation of mental workload tables,
Subject is experienced according to itself to be evaluated at the interface.
The experimental data preprocessing part includes:
Data Fusion, reach data fusion for according to the time event data will be stimulated to write in eeg data, side
Continue the analysis of eeg data after an action of the bowels;
Eye electricity artefact is reduced, for reducing influence of the eye electricity to EEG signals, deletes eye electricity artefact as far as possible;
Brain electricity segmentation, for occuring as starting point with stimulation event, when continuous recording eeg data occurs according to event
Duan Jinhang is segmented;
Signal filters, for excluding the interference of 50Hz civil powers and other frequency signal artefacts;
Baseline correction, for selecting all lead eeg datas to carry out linear translation;
Artefact is excluded, for handling wave amplitude, leads or leads more for one, the artefact composition in a certain scope is deleted
Remove;
Bad electrode channel is deleted, for after electrode condition figure is entered, the deletion of row of channels to be entered according to the quality of electrode;
It is average, for being superimposed to being stimulated caused by same task;
Preserve, for the average file of generation to be deposited;
Overall average, for taking the mode of autoexec that task identical data are averaging processing.
The analysis of experimental results part includes:
EEG signals power spectrumanalysis, for carrying out power spectrumanalysis to EEG signals, analyze different in power spectrum figure
The energy height of wave band;
MMN and P3a interpretations of result, for extract MMN with the P3a compositions under height Mental Workload and analyze MMN and P3a into
Divide the variation tendency with Mental Workload;
Subjective evaluation result is analyzed, for being tested each ring of the personnel with height Mental Workload task after tranquillization state terminates
After the completion of section subjective assessment is made on NASA-TLX scales.
In addition, the present invention still has following scheme:
The simulated flight simulation analysis system (2) includes:
Master control station subsystem (21), for the Initialize installation of selection and the experiment of emulation experiment target, and to flight
The simulation model and flight simulation parameter of device are loaded and set;
Real-time curve display subsystem (22), for drawing change curve of the simulation system parameters on the time in order to right
The changing rule of systematic parameter carries out real-time monitored;
Real-time parameter display subsystem (23), for carrying out real-time display to each systematic parameter in simulation process;
Data storage subsystem (24), for the real-time reading and storage of data in simulation process, and after emulation terminates
By data compression, the packet analyzed for database software is generated;
Data administration subsystem (25), for being managed collectively to platform parameters information, generation systematic parameter interface text
Part and the template file for database parsing, the emulation experiment packet of data storage subsystem (24) generation is solved
Analysis, and generate corresponding parameter and curve report and be used to simulation result is handled and analyzed.
Described simulating table hardware system (1) includes more liquid crystal displays, what comes into a driver's computer (105), pedal
(106), Multifunctional oil door rod (107), direction joystick (108) and seat (109);
Described simulated flight simulation analysis system includes master station computer (1010), and real-time curve shows computer
(1011), real-time parameter shows computer (1012), data storage management computer (1013);
Described simulated flight control loop includes Models computed computer.
Described general flight simulation emulates evaluation system total topology network structure:
Master station computer, real-time curve show that computer, real-time parameter show computer, data storage management computer
Reflective memory card is mounted on Models computed computer, and a ring is linked to be by optical fiber, is realized in ring between computer
Real-time Communication for Power;
What comes into a driver's computer carries out ethernet communication by interchanger and master station computer and Models computed computer;
The control interface of every computer is connected by KVM, need to only be can be achieved with using a set of equipment to all
The control of computer.
The master control station subsystem (21) includes:
Initialization submodule (211), for being initialized to data in real-time optical networking environment and clear operation, and it is right
Real-time optical networking working condition carries out manual test;
Model loading submodule (212), will be imitative by Ethernet for the flying simulation model of selection target experiment type
True mode downloads to flight model and resolves subsystem (31), and operation to model and stops operation;
What comes into a driver's communication submodule (213), for setting visual system IP address and port numbers, passes through udp protocol and what comes into a driver's
Analog subsystem (32) carries out data exchange;
Signal generator submodule (214), for writing excitation into one or more of reflective memory argument address
Signal;
Reflective memory test submodule (215), for being written and read operation to a certain block address in reflective memory, for anti-
Penetrate the test of internal memory working condition and check whether simulation parameter interface document is correctly set.
The real-time curve display subsystem (22) includes:
Parameter setting submodule (221), for selecting the parameter and curve display mode to be drawn;
Drawing of Curve submodule (222), for according to the parameter item and display side set in parameter setting module (221)
Formula, draw curve;
Parameter modification submodule (223), for carrying out curve data source selection, curve to the curve of drafting according to demand
Pattern and color selection, the dynamic addition of curve, modification, delete, amplification, reduction operation and shown pair according to selected curve
Answer parameter value;
Parameter values display sub-module (224), for selecting simulation parameter to add numerical value display window, show in the window
Show the title, physical significance and current numerical value of parameter.
The real-time parameter display subsystem (23) includes:
Parameter builds table submodule (231), for analytic parameter interface XML configuration file, according to where simulation system parameters
Different sub-systems establish corresponding to parameter table;
Parameter display sub-module (232), for reading the simulation system parameters in Real-time Network, by the ginseng in each subsystem
Number is intuitively shown in parameter table;
The self-defined display sub-module of parameter (233), for selecting specific simulation system parameters to be added to list as needed
In only self-defined display form.
The data storage subsystem (24) includes:
Interrupt response submodule (241), for monitoring the interrupt signal in Real-time Network, to reality after interrupt signal is received
When net in data be written and read operation;
Digital independent submodule (242), for analytic parameter interface XML configuration file, data in Real-time Network are read, according to
Different response times are determined the data storage of duration;
Data storage submodule (243), for simulation system parameters to be saved in into data while reading data in real-time
Bao Zhong, to data packet compressing and it is stored in after simulation calculation terminates on data base computer hard disk.
The data administration subsystem (25) includes:
Analogue system information management submodule (251), for being managed collectively to platform parameters information, generation system ginseng
Number interface XML configuration file and the template file for database parsing;
Simulation result processing and analysis submodule (252), for the emulation experiment generated to data storage subsystem (24)
Packet is parsed, and Matlab can be called to generate corresponding parameter and curve report.
The analogue system information management submodule (251) includes:
XML configuration file generation submodule (2511), for generating unified parameters interface document, for simulated flight emulation point
The internal subsystems of analysis system (1) use.
The simulated flight control loop (3) includes:
Flight model resolves subsystem (31), and position and the posture of aircraft are obtained for resolving flight dynamics model, will
Calculation result inputs visual simulation subsystem (32) to drive aircraft flight;
Visual simulation subsystem (32), real-time simulation is carried out for the operating environment to aircraft and state of flight, and will
Visual display is on the display (101-103) in front of driving cabin.
The present invention is relative to the advantages of prior art:
1st, the present invention include simulating table hardware system, simulated flight simulation analysis system, simulated flight control loop,
Brain electricity experimental system, integrated by the mixing together of Reflective memory network and Ethernet between these systems, ensure that data
The real-time of transmission.
2nd, the present invention is overall uses Distributed Design, and each subsystem is distributed modular design, and it is real to realize emulation
Management, simulation parameter monitoring and emulation data and eeg data record and the function of analysis are tested, in addition to master control station subsystem,
Independent operating between each subsystem, is independent of each other, do not have the mutual control between order between subsystems, only data
Read and record, so the universal and autgmentability of the system is all very strong, data visualization, data can be needed suitable for a variety of
Record and the high speed or low speed occasion of analysis.
3rd, brain electricity is combined with visual system to study the brain Electrical change of pilot during simulated flight, very by the system
It is good the characteristics of make use of brain electric energy enough directly to react brain states, and brain electricity is considered as measure Mental Workload most eugenic
Manage index.Therefore the system is not only that physiological change of the exploratory flight person in flight course provides a kind of ground environment,
Important theoretical foundation is provided for optimization aircraft cockpit human design, raising man-machine interface interactive efficiency.
Brief description of the drawings
Fig. 1 is each module composition schematic diagram of whole system of the present invention;
Fig. 2 is the simulation test stand hardware system structure schematic diagram of the present invention;
Fig. 3 is the system total topology schematic network structure of the present invention;
Fig. 4 is the master station subsystem work schematic flow sheet of the present invention;
Fig. 5 is the real-time curve display subsystem workflow schematic diagram of the present invention;
Fig. 6 is the real-time parameter display subsystem workflow schematic diagram of the present invention;
Fig. 7 is the data storage subsystem workflow schematic diagram of the present invention;
Fig. 8 is the data administration subsystem workflow schematic diagram of the present invention;
Fig. 9 is the system communication scheme workflow schematic diagram of the present invention;
The XML configuration file that Figure 10 is the present invention generates submodule workflow schematic diagram;
Figure 11 is the XML configuration file analyzing sub-module workflow schematic diagram of the present invention.
Embodiment
The present invention will be further described with reference to the accompanying drawings and detailed description.
For using flight simulator come in research aircraft driving procedure the problems such as the Mental Workload and mental fatigue of pilot,
So as to provide theory support for optimization aircraft cockpit human design, raising man-machine interface interactive efficiency, the invention provides one kind
General flight simulation based on brain electricity emulates evaluation system.The system is except that can carry out flight simulation, moreover it is possible to measurement flight
Brain Electrical change of the member during simulated flight is research aircraft cabin ambient to Mental Workload caused by pilot and fatigue
Degree provides platform and supported.
A kind of general flight simulation based on brain electricity according to an embodiment of the invention emulates evaluation system, sees figure
1:
Simulating table hardware system 1;Simulated flight simulation analysis system 2;Simulated flight control loop 3;Brain electricity experiment
System 4.
Wherein, simulated flight simulation analysis system 2 includes master control station subsystem 21, and real-time curve display subsystem 22 is real
When parameter display subsystem 23, data storage subsystem 24 and data administration subsystem 25;Simulated flight control loop 3 includes
Flight model resolves subsystem 31, visual simulation subsystem 32;Brain electricity experimental system 4 includes brain wave acquisition subsystem 41, brain electricity
Data show recording subsystem 42.
Wherein, simulated flight simulation analysis system 2;Simulated flight control loop 3;Brain electricity experimental system 4 is built in imitative
In true experiment platform hardware system 1.
Wherein, as shown in Fig. 2 simulating table hardware system 1 includes more liquid crystal display 101-104, what comes into a driver's calculates
Machine 105, pedal 106, Multifunctional oil door rod 107, direction joystick 108, adjustable seat 109, master station computer 1010 are real
When curve show computer 1011, real-time parameter show computer 1012, data storage, data management computer 1013, brain electricity
Data show logger computer 1014, the special amplifier 1015 of brain electricity, voltage conversion socket 1016, interchanger 1017.More liquid
Crystal display 101-104 includes three and is used to show the liquid crystal display 101-103 of what comes into a driver's and realizes that independent instrument face plate shows
The liquid crystal display 104 shown.
As shown in figure 3, system total topology network structure is mainly calculated by simulated flight simulation analysis system 2, model solution
The flight model that calculation machine carries resolves subsystem 31, the visual simulation subsystem 32 that what comes into a driver's computer carries and brain wave acquisition note
The brain electricity experimental system 4 that recording system carries forms.Wherein, computer and Models computed used in simulated flight simulation analysis system 2
Computer is mounted on reflective memory card, and is linked to be a ring by optical fiber, realizes the real-time Communication for Power between computer in ring.
What comes into a driver's computer is entered by the master station computer and Models computed computer of interchanger and simulated flight simulation analysis system 2
Row ethernet communication, brain wave acquisition record system carry out ethernet communication by interchanger and what comes into a driver's computer.KVM connects
The mouse and keyboard interface of every computer are connect, makes experimenter only to use a set of keyboard mouse device just can control different meters
Calculation machine.The system generally uses the Distributed Design of multiple stage computers, relative to current unit or dual systems, the system
Function is more powerful, and operability is higher, and extension is more convenient, and changing the partial function component of some system does not influence other sons
The normal use of system and operation.
As shown in figure 4, master control station subsystem 21 according to an embodiment of the invention include initialization submodule 211,
Model loading submodule 212, what comes into a driver's communication submodule 213, signal generator submodule 214, reflective memory test submodule
215.Initialization submodule 211 is used to initialize data in Real-time Network environment and clear operation, and work Real-time Network shape
State carries out manual test;Model loading submodule 212 is used for the flying simulation model of selection target experiment type, passes through Ethernet
Simulation model is downloaded into flight model and resolves subsystem 31, and operation to model and is stopped operation;What comes into a driver's communicates submodule
Block 213, for setting visual system IP address and port numbers, data friendship is carried out by udp protocol and visual simulation subsystem 32
Change;Signal generator submodule 214 is used to write pumping signal into one or more of reflective memory argument address, such as just
String signal, ramp signal etc., it can be used for carrying out communication test to real-time curve display subsystem 22;Reflective memory tests submodule
Block 215 is used to be written and read operation to a certain block address in reflective memory, tests and checks for reflective memory working condition
Whether simulation parameter interface document is correctly set.Master control station subsystem 21 is the important component of whole simulation analysis system,
The Initialize installation of selection and the experiment of main responsible emulation experiment target, and simulation model to aircraft and flight are imitative
True parameter is loaded and set.Meanwhile master control station subsystem 21 is also responsible for exchanging Flight scene with visual simulation subsystem 32
The packet such as parameter and stimulation event information.The master control station subsystem 21 plays central action, Neng Gou in the entire system
Data interaction is carried out with other subsystems while completing whole system Real-time Network data initialization, is so advantageous to the system of system
One scheduling and management.
As shown in figure 5, real-time curve display subsystem 22 includes parameter setting submodule 221, Drawing of Curve submodule
222nd, parameter modification submodule 223, parameter values display sub-module 224.Parameter setting submodule 221 is used to select what is drawn
Parameter and curve single shaft are shown or three axles are shown;Drawing of Curve submodule 222 is used for according to setting in parameter setting module 221
Parameter item and display mode, draw curve in curvilinear frame;Parameter modification submodule 223 is used for according to experimenter's demand pair
The curve of drafting carries out curve data source selection, pattern and the color selection of curve, the dynamic addition of curve, modification, delete,
Amplification, reduction operation and corresponding parameter value is shown according to selected curve;Parameter values display sub-module 224 is used to select to emulate
Parameter adds numerical value display window, the title of display parameters, physical significance and current numerical value in the window.Real-time curve
Display subsystem 22 is mainly used to be visualized data, after system starts, loads XML parameter interface configuration files first,
Select to need to carry out the parameter that curve is shown in parameter setting submodule 221 after reading the variable data in file, and select
(single shaft or three axles, the data that then Drawing of Curve submodule 222 can be constantly read in reflective memory are carried out the display mode of curve
Drawing of Curve, during Drawing of Curve, user of service can utilize parameter modification submodule 223 to add to curve display panel
Add, delete parameter of curve, and the pattern such as settable graph color, line style.In addition, parameter values display sub-module 224 can show
Show the data of a part of parameter, can be used for carrying out ephemeral data observation.The curve display system is relative to typical at present bent
Line visualization system function is more improved and hommization, can not only meet the visualization requirements of most of data, and has
Have that single shaft, three axle display modes are optional, and dynamically adding, deleting into Drawing of Curve frame for mouse drag formula can be utilized
Curve variable, for important supplemental characteristic, it can also individually carry out numerical value and show, so as to preferably online observation.
As shown in fig. 6, real-time parameter display subsystem 23 builds table submodule 231, parameter display sub-module including parameter
232nd, the self-defined display sub-module 233 of parameter.Parameter builds table submodule 231 and is used for analytic parameter interface XML configuration file, according to
Parameter table corresponding to different sub-systems foundation where simulation system parameters;Parameter display sub-module 232 is used to read in real time
Simulation system parameters in net, the parameter in each subsystem is intuitively included in parameter table;The self-defined display of parameter
Submodule 233 is used to select specific simulation system parameters to be added in individually self-defined display form as needed, convenient
Check.After system starts, XML parameter interface configuration files are loaded first, and then parameter builds table submodule 231 and parses XML, establishes
The parameter table of different sub-systems, parameter display sub-module 232 will constantly read the data in reflective memory, it included
In corresponding form, and the self-defined display sub-module 233 of parameter allows user to select specific simulation system parameters to add as needed
It is added in individually self-defined display form.The data display mode of the parameter display system is relative to common list type numerical value
Display have become apparent from, intuitively effect, pass through the data for transmitting each subsystem and distinguish Pagination Display so that per height
The data of system can independent page turning check that and each parametric variable can be corresponding with sequence number, name variable, numerical value shows
Show, unit, numerical value bound, remark information, observer is fast, easily obtained desired information from data.
As shown in fig. 7, data storage subsystem 24 includes interrupt response submodule 241, digital independent submodule 242, number
According to sub-module stored 243.Interrupt response submodule 241 is used to monitor the interrupt signal in Real-time Network, is receiving interrupt signal
Operation is written and read to the data in Real-time Network afterwards;Digital independent submodule 242 is used for analytic parameter interface XML configuration file,
Data in Real-time Network are read, the data storage of duration is determined according to different response times;Data storage submodule 243 is used
Simulation system parameters are saved in packet while in reading data in real-time, to packet pressure after simulation calculation terminates
Contract and be stored on data base computer hard disk.After system starts, the interrupt signal in Real-time Network, interrupt response can be monitored first
Submodule 241 can wait interrupt signal, and after interrupt signal is received, digital independent submodule 242 starts parsing XML parameters and connect
Mouth configuration file simultaneously reads data from real-time Reflective memory network, and then data storage submodule 243 deposits data packing compression
Storage is on the computer's hard.The data-storage system has the advantages of storage speed is fast, data are compressed automatically after preserving, most fast energy
It is enough with 1ms speed data storage and to ensure not packet loss, and store the cycle and can set, conventional stored record can be checked
And carry out some simple deletion, null clear operations.
As shown in figure 8, data administration subsystem 25 includes analogue system information management submodule 251, simulation result processing
With analysis submodule 252.Analogue system information management submodule 251 is used to be managed collectively platform parameters information, generates
Systematic parameter interface XML configuration file and the template file for database parsing;Simulation result processing and analysis submodule 252
Emulation experiment packet for being generated to data storage subsystem 24 parses, and can call the corresponding ginseng of Matlab generations
Number and curve report.Wherein, analogue system information management submodule 251 includes parameter input 2501, parameter modification 2502, parameter
Inquiry 2503 and configuration file export 2504 functions.Parameter input 2501 is used for Excel document or XML comprising all parameters
Configuration file is imported in database;Parameter modification 2502 is used to be added simulation parameter according to the selection of experimenter, repair
The operation such as change, delete;The simulation parameter that parameter query 2503 is used for required for experimenter is quickly found out in operation
Position;Configuration file output 2504 is used for XML configuration file of the unified output generation of all parameters for platform parameters interface,
Or selected section variable generates the template file for database parsing.Simulation result processing and analysis submodule 252 include number
2509 functions are checked according to parsing 2505, dynamic database building module 2506, data query 2507, Drawing of Curve 2508, historical record.Number
The emulation experiment packet for being used to select to need according to parsing 2505 is parsed;Dynamic database building module 2506 is used in experimental data
After being parsed, the parameter selection database observed as needed parses template file, establishes parameter report;Data query 2507
For analysis of simulation result, inquiry be divided into inquire about by subsystem, inquired about by parameter type, by the parameter query of self-defined selection with
And inquire about on a time period;The variable that Drawing of Curve 2508 is used to select to need draws its parameter curve;Historical record checks 2509
For checking in conventional experimentation the experimental data preserved according to time tag.The data management system is based on data of increasing income
Storehouse MySQL exploitations, it is also strong with autgmentability on the basis of with above-mentioned functional module, software interactive humanization designing
Feature, any user of service only need to read the XML file of customized data table transmition into correct format for system,
Read in XML after parameter, user of service is also an option that the variable that arbitrary finite is wanted to check generates a data template, should
System will carry out digital independent according to the template, and Matlab is shown or called finally by numerical value by numeric renderings Cheng Qu
Line, both of which can.
As shown in figure 9, the communication scheme of whole system employs the two ways based on Reflective memory network and Ethernet.It is first
First master control station subsystem 21, real-time curve display subsystem 22, real-time parameter display subsystem 23, data storage subsystem 24,
Data administration subsystem 25 and flight model resolve subsystem 31 in Reflective memory network, and can by Reflective memory network
To realize real-time data communication.Meanwhile master control station subsystem 21 is also in Ethernet, and pass through Ethernet and visual simulation
Subsystem 32 carries out data interaction, and eeg data shows that recording subsystem 42 is then entered by Ethernet and visual simulation subsystem 32
Row data interaction.When experiment starts, subject personnel are sitting on adjustable seat 109 first, wear brain wave acquisition equipment, utilize
The choice experiment target of master control station subsystem 21, initialization simulation time and simulated flight parameter, opening and visual simulation subsystem
32 ethernet communication port, keep communication, start flight model resolving subsystem 31, flight model resolves subsystem 31 and started
After can write flight driving data constantly in Reflective memory network, after master control station subsystem 21 reads flight driving data, pass through
Ethernet is sent to visual simulation subsystem 32, is then tested personnel by promoting Multifunctional oil door rod 107 to be accelerated, and close
Aspect, flight environment of vehicle and the state of flight on more LCDs 101-104 are noted, by operating direction joystick
108 holding aircrafts stably take off or flown.In this course, the aspect information in visual simulation subsystem 32, aircraft
Status information can be sent to master control station subsystem 21, meanwhile, electrical brain stimulation event can be also sent in master control station subsystem 21, this
A little information can be write in Reflective memory network by the unification of master control station subsystem 21, then real-time curve display subsystem 22 and in real time ginseng
Number display subsystem 23 constantly reads data from Reflective memory network and shown, meanwhile, data storage subsystem 24 can not yet
The disconnected data read in Reflective memory network are stored, compressed, packed, and convenient data administration subsystem 25 below carries out data
Inquiry, data visualization.Finally, eeg data shows that recording subsystem 42 can specially record and show EEG signals waveform.
After proceeding by simulated flight, the critical workflow of data interaction has:
Subject personnel 401 are by controlling the particular switch in steerable system to control master control station subsystem 21 to flight model solution
Operator Systems 31 send " beginning " order, while master control station subsystem 21 by manipulated variable, (reflect by flight attitude, aircraft state write-in
Memory network;
After flight model resolving subsystem 31 receives " beginning " order, the fight dynamics equation of specific model is run simultaneously
The simulation parameter of output is write into Reflective memory network;
(position of aircraft, posture etc., pass through ether to flight driving data in the reading reflective memory of master control station subsystem 21
Net is sent to visual simulation subsystem 32;
After visual simulation subsystem 32 receives simulation parameter, space is carried out according to internal airport coordinate pair flight driving data
Coordinate Conversion, aircraft is then acted on, make its normal flight;
Brain electricity event data and real-time time stamp packing are sent to master station by visual simulation subsystem 32 by Ethernet
Subsystem 21, eventually through Reflective memory network write into Databasce.
As shown in figs. 10-11, XML configuration file generation submodule 2511 is used to generate unified parameters interface document, for mould
Intend the inside subsystems of flight simulation analysis system 1 to use.XML configuration file analyzing sub-module connects for parsing unified parameters
Mouth file, i.e. XML file, it is same to be used for the inside subsystems of simulated flight simulation analysis system 1.The two submodules are equal
It is Software tools of the generation XML based on the exploitation of MSXML interface functions with parsing XML, using XML configuration file Core Generator,
New XML configuration file conveniently can be generated according to the demand of emulation experiment parameter model, or existing XML is matched somebody with somebody
Put the work that file is added, changes and deleted.Amended XML configuration file can be individually copied to simulation and fly by user
In the corresponding catalogue of the subsystems software of row simulation analysis system 1, then pass through the XML configuration file analytical tool pair in software
It is parsed, so as to realize the unification of the inner parameter interface of simulated flight simulation analysis system 1.
For the subsystems in simulated flight simulation analysis system 1, it is all needed during Experiment of Flight Simulation
The parameter interface information to be obtained according to parsing XML configuration file writes to the data in real-time Reflective memory network, reads
Operation.Wherein, Experiment of Flight Simulation parameter setting information is written in real-time Reflective memory network by master control station subsystem 21;In real time
Curve display subsystem 22 reads the parameter information in real-time Reflective memory network according to the selection of experimenter and draws the parameter
According to the performance graph of time change;Real-time parameter display subsystem 23 reads the parameter information in Real-time Network, is configured according to XML
The structure of file includes emulation experiment parameter on screen.Data storage subsystem 24 reads the ginseng in real-time Reflective memory network
Number simultaneously stores it into database subsystem according to database configuration information compression.Data administration subsystem 25 is matched somebody with somebody according to XML
Put file and read parameter interface information, utilize " symbol dictionary " program to establish template, generate the subset of simulation parameter, so as to basis
Template parameter reads compression data file and corresponding tables of data is established in MySQL database, is easy at further data
Science and engineering is made.
The brain electricity experimental system of the present invention is described in detail below:Described brain electricity experimental system 4 is adopted for brain electricity
Collection and pretreatment, flight operation performance record and Mental Workload and fatigue strength test and appraisal.
Brain electricity experimental system 4 includes:Brain wave acquisition subsystem 41, eeg data show recording subsystem 42 and eeg data
Show recording subsystem 42;The brain wave acquisition subsystem 41, for the collection of brain electricity and the pretreatment of eeg data, and by brain
Electric data are transferred to the eeg data and show recording subsystem 42;Eeg data shows recording subsystem 42, for brain electricity number
According to curve show and data storage;Mental workload assessment subsystem 43, aerial mission mistake is being performed for evaluating pilot
Mental Workload degree in journey and after flight test.
Specifically, brain wave acquisition subsystem 41 includes:High density external labeling type mesh electrode cap and the special amplifier of brain electricity, are used
The special amplifier of brain electricity is transferred in connection human brain collection EEG signals, and by the EEG signals collected;The special amplification of brain electricity
Device, for being amplified to the EEG signals collected and carrying out digital filtering, obtained signal is transferred into eeg data shows
Show recording subsystem 42.
Eeg data shows that the function of recording subsystem 42 includes:(1) data collection session is created, it is soft for data acquisition
Part creates and safeguards a brain wave acquisition recording conversation, can suspend or stop eeg recording in the ession for telecommunication;(2) number is terminated
According to collection session, for the data collection session for terminating to be newly created;(3) it is the synchronous data collection time, same for sending the time
Step command, and attach the real-time time stamp of visual simulation subsystem 32;(4) start recording brain electricity, gathered for control data soft
Part start recording brain electricity;(5) record brain electricity is terminated, for control data acquisition software stop recording brain electricity;(6) event mark is sent
Note, for sending event flag order to data acquisition software, and real-time time stamp is attached, data acquisition software is according to timestamp
By event name label in eeg data.
Mental workload assessment subsystem 43 includes brain electricity experimental design part, for designing the reality of height Mental Workload state
Test, make same subject personnel under experiment condition outside different time sections, identical, the simulated flight for carrying out different difficulty is appointed
Business;Simulated flight task design part, for designing the simulated flight task of different difficulty, make subject personnel in stipulated time model
Enclose the flight course that interior completion aircraft flies to landing from.
Experimental data preprocessing part is used for the pretreatment of eeg data, including eeg data with stimulating melting for event data
Close, remove eye electricity, segmentation, filtering, baseline adjustment, exclude Muscle artifacts, delete bad electrode, average superposition, preserving and overall average;
Analysis of experimental results part, on the basis of original data processing is completed, carrying out EEG signals power spectrum point
Analysis, MMN and P3a interpretations of result and subjective evaluation result analysis.
Brain electricity experimental arrangement design completion experiment flow simultaneously smooth for assistant experiment personnel, is avoided in brain electricity as far as possible
Occurs artificial intervention in gatherer process.The brain electricity experimental arrangement design includes:(1) aerial mission indicating section, for showing
Show the flow of task information of this experiment, making subject personnel, operating aircraft flies as indicated;(2) stimulate event that part is presented,
Key response is made to meter information, HUD instructions, acousto-optic stimulation etc. according to different tasks for being tested personnel;(3) flight is appointed
It is engaged in performance record part, recorded performance in database for system;(4) Mental Workload subjective assessment part,
For the system presentation NASA-TLX evaluation of mental workload tables after experiment terminates, it is tested to be experienced according to itself and is commented at the interface
Valency.
Experimental data preprocessing part includes:(1) Data Fusion, for that event data will be stimulated to write according to the time
Reach data fusion in eeg data, facilitate the analysis of follow-up eeg data;(2) eye electricity artefact is reduced, it is right for reducing eye electricity
The influence of EEG signals, eye electricity artefact is deleted as far as possible;Brain electricity segmentation, for occuring as starting point with stimulation event, to continuous note
The eeg data of record is segmented according to the event period of right time;(3) signal filters, for excluding 50Hz civil powers and other frequencies letter
The interference of number artefact;(4) baseline correction, for selecting all lead eeg datas to carry out linear translation;(5) artefact is excluded, is used
Handled in wave amplitude, lead or lead more for one, the artefact composition in a certain scope is deleted;(6) bad electrode channel is deleted,
For after electrode condition figure is entered, the deletion of row of channels to be entered according to the quality of electrode;(7) it is average, for drawing to same task
The stimulation risen is superimposed;(8) preserve, for the average file of generation to be deposited;(9) overall average, at taking batch
Task identical data are averaging processing the mode of reason file.
Analysis of experimental results part includes:(1) EEG signals power spectrumanalysis, for carrying out power spectrum point to EEG signals
Analysis, analyze the energy height of different-waveband in power spectrum figure;(2) MMN and P3a interpretations of result, it is mental negative for extracting height
MMN and P3a compositions under lotus simultaneously analyze variation tendency of the MMN and P3a compositions with Mental Workload;(3) subjective evaluation result is analyzed,
For being tested personnel after the completion of each link after tranquillization state terminates with height Mental Workload task in NASA-TLX scales
Make subjective assessment.
It is described above, only it is presently preferred embodiments of the present invention, not the present invention is imposed any restrictions, it is every according to the present invention
Any simple modification, change and the equivalent structure change that technical spirit is made to above example, still fall within skill of the present invention
In the protection domain of art scheme.
Claims (8)
- A kind of 1. brain electricity evaluation system of the simulated flight device based on brain electricity, it is characterised in that including:Simulating table hardware system (1), simulated flight simulation analysis system (2), simulated flight control loop (3) and brain electricity are real Check system (4);Described simulating table hardware system (1) is used for the actual physical situation for simulating aircraft cockpit;Described simulated flight simulation analysis system (2), for simulation flow management, flight simulation parameter show, real-time parameter Curve is shown and data record and data management;Described simulated flight control loop (3), it is real-time during internal manipulation environment and flight for simulating aircraft cockpit State of flight and external environment condition;Described brain electricity experimental system (4), for brain wave acquisition and pretreatment, flight operation performance record and Mental Workload and Fatigue strength is tested and assessed.
- 2. the brain electricity evaluation system of the simulated flight device as claimed in claim 1 based on brain electricity, it is characterised in that the brain electricity Experimental system (4) includes:Brain wave acquisition subsystem (41), eeg data show recording subsystem (42) and eeg data display note Record subsystem (42);The brain wave acquisition subsystem (41), for the collection of brain electricity and the pretreatment of eeg data, and eeg data is transmitted Recording subsystem (42) is shown to the eeg data;The eeg data shows recording subsystem (42), and the curve for eeg data is shown and data storage;The mental workload assessment subsystem (43), for evaluating pilot during performing aerial mission and after flight test Mental Workload degree.
- 3. the brain electricity evaluation system of the simulated flight device as claimed in claim 2 based on brain electricity, it is characterised in that the brain electricity Acquisition subsystem (41) includes:High density external labeling type mesh electrode cap and the special amplifier of brain electricity,The high density external labeling type mesh electrode cap, for connecting human brain collection EEG signals, and the EEG signals that will be collected It is transferred to the special amplifier of brain electricity;The special amplifier of the brain electricity, for being amplified to the EEG signals collected and carrying out digital filtering, by what is obtained Signal is transferred to eeg data and shows recording subsystem (42).
- 4. the brain electricity evaluation system of the simulated flight device as claimed in claim 2 based on brain electricity, it is characterised in that the brain electricity Data show that the function of recording subsystem (42) includes:Data collection session is created, is created for data acquisition software and safeguards a brain wave acquisition recording conversation, in the session Eeg recording can be suspended or be stopped to period;Terminate data collection session, for the data collection session for terminating to be newly created;The synchronous data collection time, for sending time synchronized order, and attach the real-time time of visual simulation subsystem (32) Stamp;Start recording brain electricity, for control data acquisition software start recording brain electricity;Terminate record brain electricity, for control data acquisition software stop recording brain electricity;Event flag is sent, for sending event flag order to data acquisition software, and attaches real-time time stamp, data acquisition Software according to timestamp by event name label in eeg data.
- 5. the brain electricity evaluation system of the simulated flight device as claimed in claim 2 based on brain electricity, it is characterised in that described mental Load evaluation subsystem (43) includes:Brain electricity experimental design part, for designing the experiment of different Mental Workload states, make same subject personnel in different time Section, outside identical under experiment condition, carry out the simulated flight task of different difficulty;Simulated flight task design part, for designing the simulated flight task of different difficulty, make subject personnel in the stipulated time In the range of complete aircraft the flight course of landing flown to from.Experimental data preprocessing part, for the pretreatment of eeg data, including eeg data with stimulate the merging of event data, Eye electricity, segmentation are removed, filtering, baseline adjustment, Muscle artifacts is excluded, deletes bad electrode, average superposition, preserving and overall average;Analysis of experimental results part, on the basis of original data processing is completed, carry out EEG signals power spectrumanalysis, MMN and P3a interpretations of result and subjective evaluation result analysis.
- 6. the brain electricity evaluation system of the simulated flight device as claimed in claim 5 based on brain electricity, it is characterised in that brain electricity experiment Design part includes brain electricity experimental arrangement and designed, and the brain electricity experimental arrangement design includes:Aerial mission indicating section, for showing the flow of task information of this experiment, subject personnel are made to manipulate as indicated winged Machine flies;Part is presented in stimulation event, for being tested personnel according to different tasks to meter information, HUD instructions, acousto-optic stimulate etc. Make key response;Aerial mission performance records part, recorded performance in database for system;Mental Workload subjective assessment part, for system presentation NASA-TLX evaluation of mental workload tables, subject after experiment terminates Experienced according to itself and evaluated at the interface.
- 7. the brain electricity evaluation system of the simulated flight device as claimed in claim 5 based on brain electricity, it is characterised in that the experiment Data prediction part includes:Data Fusion, reach data fusion for according to the time event data will be stimulated to write in eeg data, after convenient The analysis of continuous eeg data;Eye electricity artefact is reduced, for reducing influence of the eye electricity to EEG signals, deletes eye electricity artefact as far as possible;Brain electricity segmentation, for occuring as starting point with stimulation event, enters to continuous recording eeg data according to the event period of right time Row segmentation;Signal filters, for excluding the interference of 50Hz civil powers and other frequency signal artefacts;Baseline correction, for selecting all lead eeg datas to carry out linear translation;Artefact is excluded, for handling wave amplitude, leads or leads more for one, the artefact composition in a certain scope is deleted;Bad electrode channel is deleted, for after electrode condition figure is entered, the deletion of row of channels to be entered according to the quality of electrode;It is average, for being superimposed to being stimulated caused by same task;Preserve, for the average file of generation to be deposited;Overall average, for taking the mode of autoexec that task identical data are averaging processing.
- 8. the brain electricity evaluation system of the simulated flight device as claimed in claim 5 based on brain electricity, it is characterised in that the experiment Interpretation of result part includes:EEG signals power spectrumanalysis, for carrying out power spectrumanalysis to EEG signals, analyze different-waveband in power spectrum figure Energy height;MMN and P3a interpretations of result, for extract MMN the and P3a compositions under height Mental Workload and analyze MMN and P3a compositions with The variation tendency of Mental Workload;Subjective evaluation result analyze, for be tested personnel after tranquillization state terminates and height Mental Workload task each link it is complete After subjective assessment is made on NASA-TLX scales.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710707208.0A CN107644566A (en) | 2017-08-17 | 2017-08-17 | A kind of brain electricity evaluation system of the simulated flight device based on brain electricity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710707208.0A CN107644566A (en) | 2017-08-17 | 2017-08-17 | A kind of brain electricity evaluation system of the simulated flight device based on brain electricity |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107644566A true CN107644566A (en) | 2018-01-30 |
Family
ID=61111076
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710707208.0A Pending CN107644566A (en) | 2017-08-17 | 2017-08-17 | A kind of brain electricity evaluation system of the simulated flight device based on brain electricity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107644566A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108536169A (en) * | 2018-04-28 | 2018-09-14 | 赵小川 | Brain control UAV system based on carbon nanotube high score sub-electrode and control method |
CN109377012A (en) * | 2018-09-26 | 2019-02-22 | 中国航天员科研训练中心 | A kind of dynamic man-machine function allocation system and unmanned plane |
CN109377099A (en) * | 2018-11-29 | 2019-02-22 | 中广核工程有限公司 | A kind of NPP Operations Personnel performance data acquisition method and system |
CN109431496A (en) * | 2018-10-16 | 2019-03-08 | 北京工业大学 | A kind of assessment system and method using EEG signals assessment brain ability |
CN110781560A (en) * | 2019-10-30 | 2020-02-11 | 中仿智能科技(上海)股份有限公司 | Vega-based flight effect evaluation system |
CN111653148A (en) * | 2020-06-04 | 2020-09-11 | 中国人民解放军空军特色医学中心 | Flight attitude simulation method and device |
CN112450950A (en) * | 2020-12-10 | 2021-03-09 | 南京航空航天大学 | Brain-computer aided analysis method and system for aviation accident |
CN113143290A (en) * | 2021-04-30 | 2021-07-23 | 西安臻泰智能科技有限公司 | Data synchronization method of electroencephalogram device and electroencephalogram device |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101201696A (en) * | 2007-11-29 | 2008-06-18 | 浙江大学 | Chinese input BCI system based on P300 brain electric potential |
CN101436100A (en) * | 2008-12-04 | 2009-05-20 | 上海大学 | Brain-electrical signal detection system and detection method for brain and machine interface |
CN101690659A (en) * | 2009-09-29 | 2010-04-07 | 华东理工大学 | Brain wave analysis method |
CN101950157A (en) * | 2010-07-30 | 2011-01-19 | 北京航空航天大学 | Flight simulation system with high instantaneity |
CN101989067A (en) * | 2009-07-30 | 2011-03-23 | 中国商用飞机有限责任公司 | Flight environment simulation system |
CN102509103A (en) * | 2011-09-29 | 2012-06-20 | 天津大学 | Identifying method based on visual evoked P3 potential |
CN102613972A (en) * | 2012-03-28 | 2012-08-01 | 西安电子科技大学 | Extraction method of characteristics of electroencephalogram signals based on motor imagery |
CN103251417A (en) * | 2013-05-27 | 2013-08-21 | 江苏大学 | Method for representing and identifying entrepreneurial potential electroencephalogram signals |
CN103784119A (en) * | 2014-01-24 | 2014-05-14 | 北京航空航天大学 | Pilot mental load measurement system based on flight simulator |
CN104281060A (en) * | 2014-10-20 | 2015-01-14 | 中国运载火箭技术研究院 | Aircraft hardware-in-the-loop access test measurement and control system |
-
2017
- 2017-08-17 CN CN201710707208.0A patent/CN107644566A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101201696A (en) * | 2007-11-29 | 2008-06-18 | 浙江大学 | Chinese input BCI system based on P300 brain electric potential |
CN101436100A (en) * | 2008-12-04 | 2009-05-20 | 上海大学 | Brain-electrical signal detection system and detection method for brain and machine interface |
CN101989067A (en) * | 2009-07-30 | 2011-03-23 | 中国商用飞机有限责任公司 | Flight environment simulation system |
CN101690659A (en) * | 2009-09-29 | 2010-04-07 | 华东理工大学 | Brain wave analysis method |
CN101950157A (en) * | 2010-07-30 | 2011-01-19 | 北京航空航天大学 | Flight simulation system with high instantaneity |
CN102509103A (en) * | 2011-09-29 | 2012-06-20 | 天津大学 | Identifying method based on visual evoked P3 potential |
CN102613972A (en) * | 2012-03-28 | 2012-08-01 | 西安电子科技大学 | Extraction method of characteristics of electroencephalogram signals based on motor imagery |
CN103251417A (en) * | 2013-05-27 | 2013-08-21 | 江苏大学 | Method for representing and identifying entrepreneurial potential electroencephalogram signals |
CN103784119A (en) * | 2014-01-24 | 2014-05-14 | 北京航空航天大学 | Pilot mental load measurement system based on flight simulator |
CN104281060A (en) * | 2014-10-20 | 2015-01-14 | 中国运载火箭技术研究院 | Aircraft hardware-in-the-loop access test measurement and control system |
Non-Patent Citations (5)
Title |
---|
卫宗敏: "《飞机座舱显示界面脑力负荷测量与评价》", 《北京航空航天大学学报》 * |
张佳丽: "《飞机员在模拟飞行训练中脑力疲劳的脑电图研究》", 《中国应用生理学杂志》 * |
张磊: "飞机座舱人机工效评定实验台研制", 《飞行力学》 * |
白杰: "《飞机员脑力负荷生理测量方法研究进展》", 《航天医学与医学工程》 * |
魏水先: "基于生理测量的飞行模拟试验方案设计", 《中国民航飞行学院学报》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108536169A (en) * | 2018-04-28 | 2018-09-14 | 赵小川 | Brain control UAV system based on carbon nanotube high score sub-electrode and control method |
CN109377012A (en) * | 2018-09-26 | 2019-02-22 | 中国航天员科研训练中心 | A kind of dynamic man-machine function allocation system and unmanned plane |
CN109431496A (en) * | 2018-10-16 | 2019-03-08 | 北京工业大学 | A kind of assessment system and method using EEG signals assessment brain ability |
CN109377099A (en) * | 2018-11-29 | 2019-02-22 | 中广核工程有限公司 | A kind of NPP Operations Personnel performance data acquisition method and system |
CN110781560A (en) * | 2019-10-30 | 2020-02-11 | 中仿智能科技(上海)股份有限公司 | Vega-based flight effect evaluation system |
CN111653148A (en) * | 2020-06-04 | 2020-09-11 | 中国人民解放军空军特色医学中心 | Flight attitude simulation method and device |
CN112450950A (en) * | 2020-12-10 | 2021-03-09 | 南京航空航天大学 | Brain-computer aided analysis method and system for aviation accident |
CN112450950B (en) * | 2020-12-10 | 2021-10-22 | 南京航空航天大学 | Brain-computer aided analysis method and system for aviation accident |
CN113143290A (en) * | 2021-04-30 | 2021-07-23 | 西安臻泰智能科技有限公司 | Data synchronization method of electroencephalogram device and electroencephalogram device |
CN113143290B (en) * | 2021-04-30 | 2024-01-19 | 西安臻泰智能科技有限公司 | Data synchronization method of electroencephalogram device and electroencephalogram device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107516452A (en) | A kind of general flight simulation simulated environment evaluation system | |
CN107644566A (en) | A kind of brain electricity evaluation system of the simulated flight device based on brain electricity | |
CN110884687A (en) | Semi-physical real-time simulation verification platform for PHM technology of electromechanical system | |
CN103617324A (en) | Flight simulation recording analysis system based on FlightGear simulation software | |
CN111522254A (en) | Semi-physical water drawing fire extinguishing simulation evaluation system of amphibious fire extinguishing aircraft | |
CN102779436B (en) | Collaborative and intelligent training method for aircraft maintenance | |
CN114154592A (en) | Flight training quality and efficiency evaluation method fusing physiological data and flight parameter data | |
CN113658472A (en) | Virtual maintenance training system for vehicle chassis | |
US20180232132A1 (en) | Visualizing sub-systems of a virtual simulated element in an interactive computer simulation system | |
Zhao et al. | Big data–Artificial Intelligence fusion technology in education in the context of the new crown epidemic | |
CN116824954B (en) | Simulation machine flight training comment system and method for eye movement and flight data | |
CN104933923A (en) | A medical electronic apparatus simulation experiment teaching platform based on a virtual instrument | |
CN113496548A (en) | Transparent factory oriented production field data mapping method | |
CN115019595A (en) | Avionics simulation I/O management-based training simulator implementation method and system | |
Joyfong et al. | Preparation of Smart Card Data for Food Purchase Analysis of Students through Process Mining | |
CN115938189A (en) | Training presentation and evaluation system based on flight simulator | |
CN112558782B (en) | Three-dimensional simulation experiment method based on data driving | |
CN113192190A (en) | Secret training examination method and system based on VR technology | |
Torrence et al. | Critical review of extended reality applications in aviation | |
CN111625616A (en) | Enterprise-level data management system capable of realizing mass storage | |
CA2995518C (en) | Visualizing sub-systems of a virtual simulated element in an interactive computer simulation system | |
CN116681308A (en) | Cloud computing-based enterprise operation diagnosis method, device, medium and server | |
DE102015009804A1 (en) | Overall process control system with virtual control center for working groups, which deal with the conception, production and / or adaptation as well as delivery of software | |
Boring | Overview of a reconfigurable simulator for main control room upgrades in nuclear power plants | |
CN109816565A (en) | A kind of computer network points-scoring system in clinical skill contest |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180130 |