CN115314300B

CN115314300B - Flight training simulator data analysis system

Info

Publication number: CN115314300B
Application number: CN202210954853.3A
Authority: CN
Inventors: 许越; 蔡茂林; 张翼; 何立全; 周建修; 葛雅静; 夏书洁; 刘晓栋; 宿飞; 高云华宇; 狄运; 王丹; 王健敏
Original assignee: China Eastern Technology Application R & D Center Co ltd
Current assignee: China Eastern Technology Application R & D Center Co ltd
Priority date: 2022-08-10
Filing date: 2022-08-10
Publication date: 2023-06-20
Anticipated expiration: 2042-08-10
Also published as: CN115314300A

Abstract

The invention discloses a flight training simulator data analysis system, which is independent of the data analysis application of a flight training simulator, combines the flight training simulator training data with other parameters related to the flight training, and transmits simulator data of a training base to a data center for data analysis. The technical proposal is as follows: the system comprises a data decoding module, wherein the data decoding module decodes and cleans the original data recorded by a flight simulator in the training process of the flight training of the training base into readable and usable data required by subsequent analysis; the data transmission module is used for transmitting the decoded data in the simulated intra-machine network of the training base to the corresponding office network and transmitting the data from the office networks of the plurality of training bases to the data center in a different place in a summarization mode; and the data application analysis module decodes the data from each training base and analyzes and processes the flight simulator data transmitted by the data transmission module so as to realize intelligent analysis based on the combination of analysis parameters and the simulator data.

Description

Flight training simulator data analysis system

Technical Field

The invention relates to a data analysis system, in particular to a data analysis system of a flight training simulator.

Background

The main ways of flight simulator data analysis include analysis based on closed analysis applications provided by the simulator manufacturer or based on data extraction tools provided by the manufacturer.

The manufacturer closed analysis application is exemplified by a simulator manufacturer CAE, and the main analysis application is SOQA, namely, on the basis of extracting data from the self-comment system and restoring the data, the specific event or specific parameter in training is analyzed by default setting of the manufacturer or a mode of adding the parameter by a user. The main advantage is that the combination with the simulator system is tight; the method has the main problems that the user can not be separated from the application of a simulator system because of difficult user-defined expansion analysis parameters, and the data analysis can only be realized from the perspective of simulator equipment.

Based on the analysis of the data extraction tool provided by manufacturers, the national main research mode is based on the manufacturer comment system, and the custom amplification flight parameters are compared with the training data extracted by the comment system by constructing a peripheral system to form objective and quantitative evaluation in training. The simulation machine data and the flight parameters form a correlation, so that the simulation machine data and the flight parameters are friendly to the interaction mode of a main user training instructor, and are closely correlated with a simulation machine system; the main problems are consistent with the application of manufacturers, can not be separated from the application of a simulator system, and can only perform data analysis from the angle of simulator equipment.

Under the self architecture, the simulator manufacturer forms a complete original flight data extraction path, a data sharing mode and a path are not agreed for a simulator user to construct a self data extraction mode, the original data generated by the simulator is mainly based on parameters and variables in the self technical system of the manufacturer and mainly applied to the self evaluation system, SOQA and other applications, a parameter variable interpretation list such as a data dictionary and the like is not provided for the simulator user, the generated original data is in a form of packaging to form a file, and a standard decompression mode of how the file is not agreed. Taking an A320 simulator as an example, the original training data of a certain version of aircraft simulator of the model comprises thousands of flight parameters, the number of parameters of the A320 simulators of different software versions is different, and it is difficult to arrange a unified standard parameter library aiming at the aircraft simulators of different versions of the same model.

All servers and computer nodes of a local area network in the flight simulator run large-scale flight real-time simulation software, safety control software such as antivirus software cannot be deployed in the local area network, and the local area network needs to be physically isolated from an external network in order to ensure network safety. The physical positions of the simulators belong to different operation bases (for example, the eastern navigation current simulators are distributed in a Qing-Pu park, a Kunming base and an external high-bridge base), daily data generation amount is very high (for example, the data file size generated by each base every day is tens of GB), a large amount of data is safely transmitted in a mode of crossing regions, building and the like to be accumulated for long-term storage, and the problem of realizing safe, reliable and efficient data transmission is solved by the module.

The flight simulator data is characterized by training equipment parameters, and lacks management parameters such as courses, plans and the like in training management, so that the training management parameters are required to be supplemented, and the recognizable and applicable simulator training parameters are formed by combining the training management parameters in an effective mode of integrating the simulator data. And the two-dimensional data item, the data group and the like are established by carrying out secondary operation on part of the extracted simulator data in combination with the flight parameter analysis requirement, so that the operation workload of simulator data analysis is reduced, the operation efficiency is improved, and the deviation from the training parameter analysis requirement in the simulator data is caused by the difference of simulator software version, model, training subjects and the like.

In summary, there is a need in the field of civil aviation flight training for a platform that can combine data generated by flight simulator training with other parameters related to flight training independent of the simulator system, and analyze the data based on the large data through flexibly expandable analysis parameters, and the analyzed results can provide basic data support for training based on demonstration, and provide a digital theoretical research basis for improving training quality.

Disclosure of Invention

The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.

The invention aims to solve the problems, and provides a flight training simulator data analysis system which can combine data generated by flight training of a flight training simulator with other parameters related to the flight training independently of data analysis application of the flight training simulator, and safely and efficiently transmit a large amount of simulator data generated by each training base every day to a data center for large data analysis.

The technical scheme of the invention is as follows: the invention discloses a flight training simulator data analysis system, which comprises a plurality of data decoding modules, a plurality of data transmission modules and data application analysis modules, wherein each data decoding module and each data transmission module are respectively positioned in different simulator machine internal networks, each data application analysis module is positioned in a data center, and the simulator machine internal networks correspond to training bases, wherein:

the data decoding module is used for decoding and cleaning the original data recorded by a plurality of flight simulators in the corresponding training base flight training process into readable and usable data required by subsequent analysis;

the data transmission module is used for transmitting the data decoded by the data decoding module in the analog machine intranet of the corresponding training base to the corresponding office network, and summarizing and transmitting the data from the office networks of the training bases to the data center in different places in a mode of multiplexing the Internet;

and the data application analysis module is used for analyzing and processing the flight simulator data decoded by the data decoding modules from the training bases and transmitted by the data transmission module so as to realize intelligent analysis based on the combination of analysis parameters and the simulator data.

According to an embodiment of the flight training simulator data analysis system of the invention, the data decoding module is further configured to: the received input data is binary format data generated by the flight simulator manufacturer, which is decoded into CSV file format data for subsequent analysis.

According to one embodiment of the flight training simulator data analysis system, the data decoding module comprises a decoding unit serving as a core, the decoding unit sequentially and automatically decodes and cleans the original data file of the flight simulator according to the CSV format data cleaning configuration file and the CSV format simulator parameter custom header configuration file, finally analyzes and generates cleaned flight training data, wherein the decoding unit fully decodes or partially decodes flight parameters in the original data file according to requirements, and modifies headers of the flight parameters according to the requirements based on the simulator parameter custom header configuration file.

According to one embodiment of the flight training simulator data analysis system, the data transmission module realizes data transmission through a simulator in-machine network management and control system, a unidirectional optical gate and a remote sending server.

According to the embodiment of the flight training simulator data analysis system, a central server, a monitoring server, an NAS file server and a decoding server are deployed on each training base, scheduling software is deployed on the central server, programs running in a decoding unit are uniformly scheduled through the scheduling software, the scheduling software dynamically schedules decoding tasks according to the load condition of each decoding server and the number of decoding tasks to be executed in a queue, the system deployed on the central server is provided with a user function interface for monitoring and managing decoding processes and states, and the decoding software deployed on the decoding server automatically compresses the decoded CSV format files and then sends the compressed files to a designated folder of the NAS file server.

According to one embodiment of the flight training simulator data analysis system of the present invention, the unidirectional shutter approach is used for transmission between the simulator internal local area network and the office network within the same training base, including transmitting files stored on the NAS file server to designated folders on the offsite transmission server.

According to the embodiment of the flight training simulator data analysis system, the simulator in-machine network management and control system gathers the load condition of each server, the backlog condition of the decoding task and error reporting information, outputs the information to an external system through the unidirectional optical gate, and generates alarm information based on a threshold value set by the real-time data comparison received through the unidirectional optical gate by the external system and then sends the alarm information to an administrator.

According to one embodiment of the flight training simulator data analysis system of the present invention, the unidirectional optical shutter transmission data is divided into three processing steps in sequence: data directional acquisition, unidirectional data import and data directional transmission, wherein:

in the process of data directional acquisition, the unidirectional optical gate is connected with an NAS file server in an analog machine intranet network according to a data unidirectional transmission task pre-configured on an end machine of the unidirectional optical gate by an administrator, and a decoded data file is read from a designated directory;

in the unidirectional data importing process, the unidirectional optical gate unidirectionally transmits the decoded data file to the unidirectional optical gate external terminal machine through the optical unidirectional transmission module;

in the process of data directional transmission, after a unidirectional optical gate inner terminal receives a data file, checking the integrity of the file, if the data file is incomplete, automatically recovering the data in error transmission through a forward error correction algorithm, guaranteeing the integrity of the file, simultaneously, after the unidirectional optical gate inner terminal receives the data, carrying out identity authentication, content check and virus check, removing and recording the data content which does not meet the safety regulation in a log, safely exchanging legal data to the other end, on the basis of guaranteeing the integrity of the file, connecting the unidirectional optical gate with an external network analysis server according to a data unidirectional transmission task pre-configured on the unidirectional optical gate outer terminal by an administrator, transmitting the data file and an intranet environment state description file to a designated directory of a remote server in a unidirectional lossless manner, and then transmitting the data file to a data center in a remote manner, and carrying out data application analysis in the next step.

According to one embodiment of the flight training simulator data analysis system, the data transmission module performs cross-network storage between the training base office network and the data center office network through the inter-site transmission servers.

According to an embodiment of the flight training simulator data analysis system of the present invention, the off-site transmission process in the data transmission module further includes:

step 1: copying compressed files from an intranet NAS file server to a fixed catalog of a remote transmitting server at regular time by a plurality of unidirectional optical shutters in a training base, wherein the unidirectional optical shutters have a timing function and the remote transmitting server is used as a transmitting end;

step 2: a certain remote sending server in the sending end triggers a timing task, and sends all files and characteristic code generation lists of the files in the working catalog to one remote receiving server in the receiving end of the data center for verification, wherein the remote sending server and the remote receiving server are distributed timing tasks based on quatertz and mutually independent from the timing function of the unidirectional optical gate;

step 3: in the off-site transmission stage, repeated verification is carried out through the feature codes, and repeated files are removed according to the file list to carry out data transmission;

step 4: the receiving end feeds back a comparison result forming list to the sending end;

step 5: the sending end deletes the files marked as deleted according to the feedback result of the receiving end and sends the files marked as newly added and modified and the feature codes to the receiving end;

step 6: after receiving the newly added and modified file, the receiving end compares the feature code of the file with the transmitted feature code again to ensure that the file is not damaged or tampered, and finally records the transmission result in the database.

Compared with the prior art, the invention has the following beneficial effects: the system comprises a data decoding module, a data transmission module and a data application analysis module. The data decoding module is used for decoding and cleaning the original data recorded by the plurality of flight simulators in the flight training process of the plurality of training bases into data which can be read and used for subsequent analysis, the data transmission module safely performs cross-network storage in a unidirectional optical gate mode, and the data application analysis module is used for mining the data decoded by the data decoding module to develop a plurality of application scenes.

The system can be independent of the data analysis application of the flight training simulator, combine the data generated by the flight training simulator with other parameters related to the flight training, and safely and efficiently transmit a large amount of simulator data generated by each training base every day to a data center for large data analysis.

The main innovation of the invention is that: 1. intelligent scheduling of decoding tasks according to the decoded configuration and load conditions; 2. transmitting the data file and the intranet environment state description file to a remote server in a unidirectional lossless manner; 3. a large amount of data is transmitted safely and reliably (ensuring safe and reliable by repeated verification of feature codes) and efficiently (eliminating repeated files according to a file list to improve transmission efficiency, and the feature codes for ensuring reliable transmission are multiplexed during repeated comparison).

Drawings

The above features and advantages of the present invention will be better understood after reading the detailed description of embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily to scale and components having similar related features or characteristics may have the same or similar reference numerals.

FIG. 1 illustrates a system frame diagram of one embodiment of a flight training simulator data analysis system of the present invention.

Fig. 2 shows a schematic diagram of a data decoding module in the system shown in fig. 1.

Fig. 3 to 6 show schematic diagrams of data transmission modules in the system shown in fig. 1.

Detailed Description

The invention is described in detail below with reference to the drawings and the specific embodiments. It is noted that the aspects described below in connection with the drawings and the specific embodiments are merely exemplary and should not be construed as limiting the scope of the invention in any way.

FIG. 1 illustrates a system framework of one embodiment of a flight training simulator data analysis system of the invention. As shown in fig. 1, the system of the present embodiment includes a plurality of data decoding modules, a plurality of data transmission modules, and a data application analysis module. Each data decoding module is located in a different simulation intranet (in a real scene, the simulation intranets correspond to each training base respectively). The data decoding modules decode and clean the original data recorded by a plurality of flight simulators in the corresponding training base flight training process into readable and usable data required by subsequent analysis.

Each data transmission module is respectively located in different simulation machine internal networks, and is used for transmitting the data decoded by the data decoding module in the simulation machine internal network of the corresponding training base to corresponding office networks (3 networks are respectively the simulation machine internal network which is physically isolated from the outside, the office network of each training base and the office network of the data center, wherein the office network is the office network of each training base), and transmitting the data from the office networks of a plurality of training bases to the data center in different places in a multiplexing internet mode, in particular, transmitting the data of the simulation machine internal local area network and the office network in the same training base in a one-way optical shutter mode, and storing the data between the office networks of the training base and the office network of the data center in a cross-network mode between the office networks of the different places.

The data application analysis module is positioned in the data center and used for analyzing and processing the flight simulator data which are decoded by the data decoding modules from the training bases and transmitted by the data transmission module so as to realize intelligent analysis based on the combination of analysis parameters and the simulator data.

The input data received by the data decoding module is binary format data generated by a manufacturer of the flight simulator, and the binary format raw data in the flight training process is decoded into CSV file format data which can be used for subsequent analysis through the data decoding module because the binary format data cannot be directly used for data analysis.

The internal implementation principle of the data decoding module is shown in fig. 2, the original data of the flight simulator is continuously and automatically generated in the flight training process, each time a flight instructor switches on a simulator motion system in the training process, a group of original data files in the training process are continuously generated until the simulator motion system is disconnected, a decoding unit serving as a core automatically decodes and cleans the original data file group of the flight simulator according to a data cleaning configuration file (CSV file) and a simulator parameter custom header configuration file (CSV file), finally analyzes and generates cleaned flight training data, namely a CSV file named by the original data file, and notifies a log file to record abnormal scene information when an abnormality occurs in analysis. Because the decoding module decodes the original data into the CSV format, the CSV format greatly reduces the data transmission quantity of the subsequent data transmission module and provides convenience for the subsequent data application analysis module.

The decoding unit analyzes information including data types and offset positions of flight parameters in the original data file according to the original data file of the flight simulator generated in the flight training process, and then analyzes the data frame by frame into text files which can be directly used for analysis according to the analyzed information and stores the text files in a CSV file format. The decoding unit can fully decode or partially decode the flight parameters in the original data file according to the requirements, and can modify the flight parameter header based on the simulation machine parameter custom header configuration file according to the requirements.

The flight training data after cleaning generated by analysis is shown in the following pattern table (table 1), and the first list head is parameter custom naming data read from the parameter custom list head configuration file of the simulator during decoding, so that the CSV generated after decoding has the characteristics of strong readability and capability of crossing models.

TABLE 1 sample of decoded flight training data

The data transmission module is realized by simulating an intra-machine network management and control system, a unidirectional optical gate and a remote sending server.

The input data received by the in-simulator network management and control system originate from a plurality of training bases, each training base is provided with original training data generated by a plurality of flight simulators, as shown in fig. 3, the in-simulator network management and control system deploys two central servers, one monitoring server, one NAS file server device and a plurality of decoding servers on each training base, and deploys scheduling software on the central servers to uniformly schedule programs running in the decoding units. The scheduling software dynamically schedules the decoding tasks according to the load condition of each decoding server and the number of decoding tasks to be executed in the queue, so that the decoding work efficiency and the utilization rate of the decoding servers are improved, and the decoding time is shortened. The in-simulator network management and control system intelligently schedules decoding tasks according to decoding configuration and load conditions, and a decoding server can dynamically and transversely expand according to actual conditions along with the increase of decoding tasks in the future.

The system deployed on the central server is provided with a GUI interface, so that the decoding process and state can be intuitively monitored and managed. Decoding software deployed by the decoding server automatically compresses the decoded csv file into a zip file and sends the zip file to a specified folder of the NAS file server. The stored file is eventually transferred by the unidirectional optical switch to a designated folder on the remote sending server.

Because the simulation intranet is isolated from the outside, users need to enter intranet servers to know the states of all servers in the intranet. The analog in-machine network management and control system gathers the load condition of each server, the backlog condition of the decoding task and the error reporting information and outputs the information to an external system through a unidirectional optical gate. The external system may generate alert information for final transmission to the administrator based on the threshold set by the real-time data contrast received through the unidirectional optical shutter.

As shown in fig. 4 and 5, the unidirectional optical shutter transfers data in three sequential processing steps: data directional acquisition, unidirectional data import and data directional transmission.

In the process of data directional acquisition, the unidirectional optical gate is connected with NAS file server equipment in an analog in-machine network according to a data unidirectional transmission task pre-configured on the terminal of the unidirectional optical gate by an administrator, and the decoded data file is read from a specified directory.

In the unidirectional data importing process, the unidirectional optical gate transmits the decoded data file to the unidirectional optical gate system external terminal machine in one direction through the optical unidirectional transmission module.

In the process of data directional transmission, after the unidirectional optical gate terminal receives a data file, the integrity of the file is checked, if the data file is incomplete, the data with transmission errors is automatically recovered through a forward error correction algorithm, and the integrity of the file is ensured. And meanwhile, after the unidirectional optical gate terminal receives data, identity authentication, content inspection and virus killing are carried out, the data content which does not meet the safety regulation is removed and recorded in a log (the log content is completely recorded and various log alarm information such as system setting, communication control, content inspection, connection limitation, system alarm and the like are saved, wherein an audit module can enable an administrator to inquire and audit in various modes), legal data is safely exchanged to the other end, on the basis of ensuring the integrity of a file, the unidirectional optical gate is connected with an external network analysis server according to a data unidirectional transmission task which is preconfigured on the unidirectional optical gate terminal by the administrator, the data file and an internal network environment state description file are transmitted to a designated directory of a remote server in a unidirectional lossless manner, and then transmitted to a data center in a remote manner, and then the next data application analysis is carried out.

In the above-mentioned working process of the off-site transmission, the process of transmitting to the data center through the off-site transmission further includes the following process, please refer to fig. 6.

1. The unidirectional optical shutter timing in the plurality of training bases copies the compressed file (zip file) from the intranet NAS file server device into the fixed catalog of the remote transmitting server (transmitting end), wherein the unidirectional optical shutter has a timing function.

2. A certain remote sending server in the sending end triggers a timing task, and all files under the working catalog and a characteristic code generation list of the files are sent to one remote receiving server in the receiving end of the data center for verification. The remote transmitting server and the remote receiving server are distributed timing tasks based on quatertz and are mutually independent from the timing function of the unidirectional optical gate.

3. The remote transmission stage transmits a large amount of data safely and reliably (ensuring safety and reliability by repeatedly checking the feature codes) and efficiently (eliminating repeated files according to a file list to improve transmission efficiency, and repeatedly comparing the feature codes used for ensuring reliable transmission).

The remote sending server queries a database and compares the file names with the feature codes:

1) File name is not found: newly adding a file in a database;

2) Files with the same file name and different feature codes: modifying the file in the database;

3) Files with the same file name and feature code: files are deleted in the database.

For example, each training base has two remote sending servers to ensure data backup storage, and each file synchronization only triggers one of the remote sending servers. So when the task triggers, there is a possibility that the file left over last time exists in the folder of the remote sending server (the last time is not necessarily the triggering of the server).

4. The receiving end feeds back the comparison result forming list to the sending end.

5. And the sending end deletes the file marked as deleted according to the feedback result of the receiving end and sends the file marked as newly added and modified and the feature code to the receiving end.

6. After receiving the newly added and modified file, the receiving end compares the feature code of the file with the transmitted feature code again to ensure that the file is not damaged or tampered, and finally records the transmission result in the database.

In order to meet the requirement that the front-end analysis query needs to process a large amount of data and simultaneously give consideration to response speed, the bottom layer of the data application analysis module adopts impala as a database query engine. After the user selects the training session or the screening condition of the analysis parameters on the query page, the data application analysis module generates a corresponding SQL sentence in the background and submits the SQL sentence to the imala engine, and the imala engine executes the SQL sentence. The impala engine is an interactive SQL query framework based on memory calculation, high performance and low delay, can be compatible with the query of a primary database of a Hadoop ecological system, and is a PB-level big data real-time query analysis engine preferred by a CDH platform. The system of the embodiment stores a large amount of data related to training shifts in a database, and in the analysis processing of the data application analysis module, multidimensional and multi-scene aggregation analysis is required to be performed with the calculation result of the analysis parameter unit. The impala engine realizes the second-level response of the correlation query of the calculation result of the analysis parameter unit and the data of the simulation machine training and the like, so that a user can realize complex analysis contents and report results only through analysis configuration based on a system page, and the learning cost of user analysis is reduced.

The data application analysis module is used for enabling flight personnel to freely combine analysis parameters with factors such as flight students and training subjects, dragging any analysis parameters or training subjects to the X axis, the Y axis and the Z axis of the chart, automatically identifying parameters of dimension type (non-numerical value type) or measurement type (numerical value type) by the analysis module, and automatically carrying out corresponding conversion to generate the chart for analysis. The charts that have been supported so far include: the efficiency of the analysis process is greatly improved by using a line graph, a bar graph, a stack graph, a scatter graph, a 3D graph, a pie graph and the like.

For the data file written with big data, the standardized normalization of multiple machine type parameters is realized on the engineering parameter level by utilizing the engineering parameter unit because the data formats, the data names and the frequencies of different machine type data are different.

The analysis parameter unit gathers and counts the engineering parameters unified by the engineering parameter module by a certain algorithm to form index parameters which can be used for data analysis of the simulator, such as: the raw data file records the speed of the aircraft per minute per second, but this speed cannot be studied analytically, and the analysis parameter unit is processed into the following steps according to the requirements of users: the index analysis parameters such as the average speed of the flight cruising and the maximum speed of the flight cruising can be used for research analysis.

The data application analysis module is used for analyzing parameters generated by the parameter analysis unit, making various graphs for analysis, and researching or continuously tracking.

While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood and appreciated by those skilled in the art.

Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disk) as used herein include Compact Disc (CD), laser disc, optical disc, digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disk) usually reproduce data magnetically, while discs (disk) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The utility model provides a flight training simulator data analysis system which characterized in that, the system includes a plurality of data decoding module, a plurality of data transmission module, data application analysis module, and each data decoding module and each data transmission module are located different simulation built-in networks respectively, and data application analysis module is located data center, and simulation built-in network corresponds training base, wherein:

the data application analysis module is used for analyzing and processing the flight simulator data which are decoded by the data decoding modules from the training bases and transmitted by the data transmission module so as to realize intelligent analysis based on the combination of analysis parameters and the simulator data;

the data transmission module realizes data transmission through an analog intra-machine network management and control system, a unidirectional optical gate and a remote sending server;

the method comprises the steps that a central server, a monitoring server, an NAS file server and a decoding server are deployed in each training base, scheduling software is deployed on the central server, programs running in a decoding unit are uniformly scheduled through the scheduling software, wherein the scheduling software dynamically schedules decoding tasks according to the load condition of each decoding server and the number of decoding tasks to be executed in a queue, the system deployed on the central server is provided with a user function interface and is used for monitoring and managing decoding processes and states, and decoding software deployed on the decoding server automatically compresses the decoded CSV format files and then sends the compressed files to a designated folder of the NAS file server;

the unidirectional optical gate transmission data is divided into three processing steps in sequence: in the process of data directional transmission, on the basis of ensuring the integrity of a file, a unidirectional optical gate is connected with an external network analysis server according to a data unidirectional transmission task pre-configured on an external terminal machine of the unidirectional optical gate by an administrator, the data file and an intranet environment state description file are transmitted to a specified directory of a remote server in a unidirectional lossless manner, and then transmitted to a data center in a remote manner, and then data application analysis is carried out in the next step;

the remote transmission process in the data transmission module further comprises the following steps:

2. The flight training simulator data analysis system of claim 1, wherein the data decoding module is further configured to: the received input data is binary format data generated by the flight simulator manufacturer, which is decoded into CSV file format data for subsequent analysis.

3. The flight training simulator data analysis system according to claim 2, wherein the data decoding module comprises a decoding unit as a core, the decoding unit sequentially and automatically decodes and cleans the original data file of the flight simulator according to the CSV format data cleaning configuration file and the CSV format simulator parameter custom header configuration file, finally analyzes and generates cleaned flight training data, the decoding unit fully decodes or partially decodes the flight parameters in the original data file according to the requirement, and modifies the header of the flight parameters according to the requirement based on the simulator parameter custom header configuration file.

4. A flight training simulator data analysis system in accordance with claim 3 wherein the one-way shutter mode is used for transmissions between the simulator's internal local area network and the office network within the same training site, including transmitting files stored on the NAS file server to designated folders on the offsite transmission server.

5. The flight training simulator data analysis system according to claim 4, wherein the simulator in-machine network management and control system generates the alarm information based on the threshold value set by the real-time data comparison received by the unidirectional optical gate by summarizing the load condition of each server, the backlog condition of the decoding task, and the error reporting information and outputting the information to the external system by the unidirectional optical gate, and then sends the alarm information to the administrator.

6. The flight training simulator data analysis system of claim 5, wherein the unidirectional optical shutter is connected to a NAS file server in the simulator intranet network according to a data unidirectional transmission task preconfigured by an administrator on the terminal in the unidirectional optical shutter, and the decoded data file is read from the specified directory;

in the process of data directional transmission, after the unidirectional optical gate inner terminal receives a data file, the integrity of the file is checked, if the data file is incomplete, the data with transmission errors is automatically recovered through a forward error correction algorithm, so that the integrity of the file is ensured, meanwhile, after the unidirectional optical gate inner terminal receives the data, identity authentication, content check and virus check are carried out, the data content which does not meet the safety regulation is removed and recorded in a log, and legal data is safely exchanged to the other end.

7. The flight training simulator data analysis system of claim 6, wherein the data transmission module performs cross-network storage between the training base office network and the data center office network via a offsite transmission server.