# Data Protection Software for Civil Aviation Control Flight Information System Based on FPE Algorithm

Authors: Jing Lu
Journal: Security and Communication Networks
 (2022)

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## Abstract

This study is aimed in order to study the data protection software of civil aviation management flight information system based on FPE algorithm. The author established the data warehouse software of the air traffic control production information statistics system. First, using the Jquery browser application framework + service-oriented Web Service architecture technology, a B/S/S multilayer data application based entirely on browser applications is established. Then, with the support of the ATC production information statistical data warehouse software and the system application framework, the system realizes a series of production data processing related to production information management, such as data collection, data editing, data review, and business data statistics. Finally, combined with the attributes of business data, we analyze and compare all kinds of production information from multiple dimensions such as time and region; it also provides users with data analysis results of curve, pie, column, and other performance situations, display mode, and report output tool. SQL statement can be implemented to add data to the database, modify the existing data in the database, delete the existing data in the database, and can be queried in a variety of ways to the data in the database, and VB provides a human-computer interaction interface for various operations.


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## Body

## 1. Introduction

The field of civil aviation is a very important part of my country’s aviation industry, the most important link in flight management in the field of civil aviation, is the network information management system, and the overall transportation safety of civil aviation is also guaranteed by the network information management system; its importance can be imagined [1]. Judging from the analysis of my country’s civil aviation flight data at this stage, air traffic control information management is a very important task, and it is also one of the difficulties of air traffic control work. Large-scale air traffic control information management software has been adopted in large airports, and in some small airports with imperfect equipment and few flights, considering the economics of introducing large-scale software, it is rarely used; under these circumstances, the air traffic management information management system that meets the urgent needs of small airports has also emerged. Air traffic management is to ensure the order of air traffic, the only means to maintain air traffic safety [2]. Air traffic controllers use communication, navigation, radar surveillance, and other equipment as technical support, monitor aircraft flight activities, and exercise control over aviation vehicles in accordance with certain rules. The main task of air traffic control is to prevent aircraft collisions, prevent aircraft in the airport, and its nearby airspace from colliding with obstacles; maintain air traffic order, ensure unblocked air traffic, ensure flight safety, and improve flight efficiency. Procedure control and radar control are the main methods of air traffic control and command [3]. The air traffic control information statistics software is the most basic means to grasp the operation status of air traffic control production. The basic task of air traffic control statistics is to guarantee the number of flights in the industry, airspace conditions, normal flight conditions, operation guarantee equipment, school flight operations and equipment, as well as various professionals, conduct statistical investigations and statistical analysis, provide statistical data, and implement statistical supervision, as shown in Figure 1. How to more effectively complete the basic tasks of air traffic control statistics, good collection, good management, and good use of statistical data is an important part of statistical work; therefore, in order to further strengthen air traffic control statistics, the leaders of the bureau gave important instructions on the electronicization of air traffic control statistics and the construction of an air traffic control business statistical database [4, 5].Figure 1
Air traffic control information statistics software.


## 2. Literature Review

Stefan and others believe the scalability of network information, mainly from the complexity of the civil aviation information system itself. This is also one of the most important objective requirements of the modern civil aviation industry [6]. Perez–Resa et al. proposed that for civil aviation network information systems, when the relevant staff started the maintenance work, the structure of the information system should be checked regularly, and its overall structure is constantly improved so that its overall safety is effectively guaranteed [7]. The application of FPE in the multimedia field is proposed by Atyabi et al. The image is encrypted using the FPE method of regular language during the compression process so as to promote the cause of civil aviation [8]. Atyabi et al. have proposed a solution to encrypt the entire transmission process using SSL technology [9].


## 3. System Software Requirements

### 3.1. Statistical Characteristics of atC Software

The air traffic control information statistics system software is designed for the three-level air traffic control departments of CAAC, regional air traffic Control bureau, and air traffic control Sub-bureau to collect, summarize, count, and analyze production data [10, 11]. You need to comprehensively analyze the data characteristics of statistical objects and define a globally consistent data management view to implement unified organization and management of heterogeneous data. Various data sources and application characteristics are described in Table 1.Table 1
Sources of production statistics.
Source data categoriesFlight dynamics systemAFTN lineMeteorologicalinformation databaseNavigationinformation processing systemSorties√√√Quality of weather forecast√Weather observation is wrong√Flight information√√Safety supervisionFrom the above data source analysis table, we can know that(1)
Data of production information statistical system software, from a number of established air traffic control business management systems;(2)
One type of statistical data needs to be collected from multiple business systems, and basic statistics is collected; for example: in order to realize flight sorting statistics, the basic data need to be obtained from the flight status system and the AFTN line, respectively.(3)
Many types of basic statistical data need to be obtained from designated business systems, such as weather information database; it includes ground weather observation information that needs to be exchanged among airports around the world; it also includes a variety of weather forecast products for various airports in 24 hours, 16 hours, and 9 hours [12, 13].(4)
In order to ensure that the atC production information statistics system can obtain the basic statistical data of the corresponding business system, necessary data access network conditions and data access authorization should be provided for the system data collection.(5)
The system also needs to access multiple business systems to obtain basic statistical information, which spans multiple air traffic control business departments. Therefore, necessary security measures must be taken for system data collection to obtain various statistical data under the condition of ensuring system security.


### 3.2. System Function and Composition

The system software consists of three parts: statistical data collection, data statistics and analysis, and air traffic control information portal website. Statistical data software collection is a basic subsystem to realize data statistics; it has nothing to do with user operations and realizes automatic acquisition of various production business data in the background, which is the application basis for establishing a data warehouse [14, 15].


#### 3.2.1. Air Traffic Control Business Data Collection

(1)
Realize flight status, AFTN lines, weather messages, aeronautical information, and collection of 8 types of basics, including personnel information, safety supervision, infrastructure investment, and document files.(2)
According to the data conversion specification of the production management system, organize, filter, and format the collected information, make it meet the requirements of information statistics.(3)
After the data are processed, they are classified and stored in the database.(4)
Record data acquisition log, display the data acquisition log, and realize the monitoring of the acquisition process.(5)
Implement collection configuration management to ensure the expansion and portability of statistical data collection.


#### 3.2.2. Production System Data Statistics

(1)
Statistics of flight guarantees at designated air traffic control service airports.(2)
According to the air traffic control service airport area adjustment, approach, tower and other control units, flight service guarantee sorties statistics.(3)
Statistics of equipment operation guarantee: classified statistics of navigation, communications, radar, weather and other equipment, information related to equipment operation failures, and equipment shutdowns due to various reasons within the specified period.(4)
Radio interference frequency statistics: classified statistics of radio interference to specified frequency points caused by various reasons.(5)
Meteorological support quality statistics: the accuracy rate of aviation meteorological forecast of all meteorological support units is counted, and error rate of ground meteorological observation is conducted in civil aviation.(6)
Statistics of civil aviation professional technical personnel: statistics of professional licenses of technical personnel in air traffic control [16, 17], such as communications, navigation, radar and meteorological information, as well as the composition of educational background and professional title of various personnel.


### 3.3. FPE Algorithm

FPE (format preserving encryption) is a brand new cryptography technology; it takes the plaintext in a specific format, encrypted into ciphertext in the same format, that is, the type and length of the ciphertext are the same as the plaintext. FPE is a symmetric cipher that requires the ciphertext and plaintext to have the same format; its original intention was to encrypt the database or personally identifiable information (PII) in the application system and ensure that the ciphertext and plaintext of the information have the same data type and length; furthermore [18, 19], it is possible to achieve the purpose of encryption and reduce costs without modifying the database structure or application program. This kind of good encryption idea does not stop at the above several applications but is constantly being explored by people.The Feistel structure transforms any function into a transformation, which is a typical iterative structure; it is also a cryptographic transformation in the form of a product [20, 21]. It can fully realize proliferation and chaos, and constitute a strong cryptographic system. Expressed in a mathematical formula, the encryption transformation of the i round is(1)Li=Ri−1Ri=Li−1⊕FRi−1,Ki.Among them,R represents the bitwise XOR, F is the round function, and Ki is the subkey of the i round.FPE technology is used to encrypt the original information; test data information is obtained with exactly the same format and length; this not only guarantees the validity of the test but also protects the security of the information [22, 23]. The other is in the encryption field that needs to comply with the original data format or protocol, as shown in Figure 2.Figure 2
User search data flow diagram.


## 3.1. Statistical Characteristics of atC Software

The air traffic control information statistics system software is designed for the three-level air traffic control departments of CAAC, regional air traffic Control bureau, and air traffic control Sub-bureau to collect, summarize, count, and analyze production data [10, 11]. You need to comprehensively analyze the data characteristics of statistical objects and define a globally consistent data management view to implement unified organization and management of heterogeneous data. Various data sources and application characteristics are described in Table 1.Table 1
Sources of production statistics.
Source data categoriesFlight dynamics systemAFTN lineMeteorologicalinformation databaseNavigationinformation processing systemSorties√√√Quality of weather forecast√Weather observation is wrong√Flight information√√Safety supervisionFrom the above data source analysis table, we can know that(1)
Data of production information statistical system software, from a number of established air traffic control business management systems;(2)
One type of statistical data needs to be collected from multiple business systems, and basic statistics is collected; for example: in order to realize flight sorting statistics, the basic data need to be obtained from the flight status system and the AFTN line, respectively.(3)
Many types of basic statistical data need to be obtained from designated business systems, such as weather information database; it includes ground weather observation information that needs to be exchanged among airports around the world; it also includes a variety of weather forecast products for various airports in 24 hours, 16 hours, and 9 hours [12, 13].(4)
In order to ensure that the atC production information statistics system can obtain the basic statistical data of the corresponding business system, necessary data access network conditions and data access authorization should be provided for the system data collection.(5)
The system also needs to access multiple business systems to obtain basic statistical information, which spans multiple air traffic control business departments. Therefore, necessary security measures must be taken for system data collection to obtain various statistical data under the condition of ensuring system security.


## 3.2. System Function and Composition

The system software consists of three parts: statistical data collection, data statistics and analysis, and air traffic control information portal website. Statistical data software collection is a basic subsystem to realize data statistics; it has nothing to do with user operations and realizes automatic acquisition of various production business data in the background, which is the application basis for establishing a data warehouse [14, 15].


### 3.2.1. Air Traffic Control Business Data Collection

(1)
Realize flight status, AFTN lines, weather messages, aeronautical information, and collection of 8 types of basics, including personnel information, safety supervision, infrastructure investment, and document files.(2)
According to the data conversion specification of the production management system, organize, filter, and format the collected information, make it meet the requirements of information statistics.(3)
After the data are processed, they are classified and stored in the database.(4)
Record data acquisition log, display the data acquisition log, and realize the monitoring of the acquisition process.(5)
Implement collection configuration management to ensure the expansion and portability of statistical data collection.


### 3.2.2. Production System Data Statistics

(1)
Statistics of flight guarantees at designated air traffic control service airports.(2)
According to the air traffic control service airport area adjustment, approach, tower and other control units, flight service guarantee sorties statistics.(3)
Statistics of equipment operation guarantee: classified statistics of navigation, communications, radar, weather and other equipment, information related to equipment operation failures, and equipment shutdowns due to various reasons within the specified period.(4)
Radio interference frequency statistics: classified statistics of radio interference to specified frequency points caused by various reasons.(5)
Meteorological support quality statistics: the accuracy rate of aviation meteorological forecast of all meteorological support units is counted, and error rate of ground meteorological observation is conducted in civil aviation.(6)
Statistics of civil aviation professional technical personnel: statistics of professional licenses of technical personnel in air traffic control [16, 17], such as communications, navigation, radar and meteorological information, as well as the composition of educational background and professional title of various personnel.


## 3.2.1. Air Traffic Control Business Data Collection

(1)
Realize flight status, AFTN lines, weather messages, aeronautical information, and collection of 8 types of basics, including personnel information, safety supervision, infrastructure investment, and document files.(2)
According to the data conversion specification of the production management system, organize, filter, and format the collected information, make it meet the requirements of information statistics.(3)
After the data are processed, they are classified and stored in the database.(4)
Record data acquisition log, display the data acquisition log, and realize the monitoring of the acquisition process.(5)
Implement collection configuration management to ensure the expansion and portability of statistical data collection.


## 3.2.2. Production System Data Statistics

(1)
Statistics of flight guarantees at designated air traffic control service airports.(2)
According to the air traffic control service airport area adjustment, approach, tower and other control units, flight service guarantee sorties statistics.(3)
Statistics of equipment operation guarantee: classified statistics of navigation, communications, radar, weather and other equipment, information related to equipment operation failures, and equipment shutdowns due to various reasons within the specified period.(4)
Radio interference frequency statistics: classified statistics of radio interference to specified frequency points caused by various reasons.(5)
Meteorological support quality statistics: the accuracy rate of aviation meteorological forecast of all meteorological support units is counted, and error rate of ground meteorological observation is conducted in civil aviation.(6)
Statistics of civil aviation professional technical personnel: statistics of professional licenses of technical personnel in air traffic control [16, 17], such as communications, navigation, radar and meteorological information, as well as the composition of educational background and professional title of various personnel.


## 3.3. FPE Algorithm

FPE (format preserving encryption) is a brand new cryptography technology; it takes the plaintext in a specific format, encrypted into ciphertext in the same format, that is, the type and length of the ciphertext are the same as the plaintext. FPE is a symmetric cipher that requires the ciphertext and plaintext to have the same format; its original intention was to encrypt the database or personally identifiable information (PII) in the application system and ensure that the ciphertext and plaintext of the information have the same data type and length; furthermore [18, 19], it is possible to achieve the purpose of encryption and reduce costs without modifying the database structure or application program. This kind of good encryption idea does not stop at the above several applications but is constantly being explored by people.The Feistel structure transforms any function into a transformation, which is a typical iterative structure; it is also a cryptographic transformation in the form of a product [20, 21]. It can fully realize proliferation and chaos, and constitute a strong cryptographic system. Expressed in a mathematical formula, the encryption transformation of the i round is(1)Li=Ri−1Ri=Li−1⊕FRi−1,Ki.Among them,R represents the bitwise XOR, F is the round function, and Ki is the subkey of the i round.FPE technology is used to encrypt the original information; test data information is obtained with exactly the same format and length; this not only guarantees the validity of the test but also protects the security of the information [22, 23]. The other is in the encryption field that needs to comply with the original data format or protocol, as shown in Figure 2.Figure 2
User search data flow diagram.


## 4. System Implementation

### 4.1. Extraction of Production Information Statistics and Data Structure Organization

During the construction of the data warehouse software of the production information statistics system, the data management granularity is selected in units of months. It is necessary to regularly receive various statistical information such as real-time flight delay report, cancellation report, alternate landing information, and emergency flight information from the line [24, 25].The data extraction process of flight support sorties is shown in Figure3.Figure 3
Schematic diagram of the data extraction process of flight sorties.After filtering, cleaning, and merging the data obtained from the data source, according to the software requirements of the production information statistics system, the following data tables are established:(1)
Flight guarantee status: this table is formed after integrating flight status and information on flight alternates, cancellations, and delays obtained from AFTN lines; the following data information is recorded: take-off and landing airport, take-off time, landing time, actual take-off time, actual landing time, flight type (normal, cancelled, delayed, alternate airport, alternate landing), route, route, company, and other information.(2)
Meteorological observation quality: observation time, observation field station, number of manual observations, error rate of observations, and the error rate and content of meteorological elements such as wind, cloud, weather phenomenon, visibility, and runway visual range.(3)
Weather forecast quality: forecast time, forecast station, the number of manual forecasts, the accuracy of forecasts, and the accuracy of forecasts in 6, 9, 12, and 24 hour forecast periods.(4)
Quality of aeronautical information reporting: release time, release of the terminal, the number of information released by the mouth, and the number of leaks.(5)
Safety monitoring: the time when the safety impact event occurred, the location where the security impact event occurred, the specific situation of the security impact event, and the analysis of the cause of the security impact event.


### 4.2. Data Modeling Analysis

Flight number statistics and analysis mainly include guarantee sorties, flight delays, the flight guarantees of the control departments such as approach, zone adjustment, and tower; it needs to be based on four dimensions: time, air traffic control unit in charge, control area, and reasons for abnormal flights, and statistics and analysis of flight sorting data are carried out. The flight sort analysis model is shown in Figure4.Figure 4
Flight sort analysis model.Based on the flight schedule information table, it can complete the data analysis related to the dimension of the oral period and the dimension of the flight type; based on the flight number and the basic airport information table, realize the data analysis model of “flight sorties-air traffic control unit”; combined with the flight schedule information, the information table is divided into routes and routes that the control department is responsible for statistics, so as to realize the data analysis model of “flight sorties in the control area.”


### 4.3. Data Analysis

This system software mainly realizes the comparative analysis of related air traffic control business data such as flight number and weather service quality. The analysis is based on the data warehouse analysis model; according to the dimensions of the data attribute division, the data are compared and analyzed mainly from two aspects: time and area. Flight number data analysis includes analysis of flight support sorties of each air traffic control unit, analysis of flight support sorties of each control area, etc. Figure5 uses month as the granularity of data management; realize the analysis of the monthly flight guarantee situation of the air traffic control sub-bureaus of the Southwest Air Traffic Control Bureau; through this chart, you can understand the number of flights guaranteed in various places and the number of flights guaranteed by month. Note: the total amount of data stored in the flight support sortie information table is 116,748 records; the index has been established for this information table, and the data statistical object in the table is information statistics related to flight support sorties of Southwest Air Traffic Management Bureau and its subordinate branches. All statistics have returned data statistics within 1 second. Through the comparison with the manual statistical data over the years, the statistical result is correct and the statistical accuracy is 100%.Figure 5
Monthly change trend chart of flight guarantee sorties.In others, such as meteorological quality, safety supervision, and other related information data statistics results are returned within 1 second, after comparison with manual data statistics, the accuracy is 100%.After data extraction, in the flight guarantee schedule information table of the established data warehouse, it records the monthly flight guarantee situation of each air traffic control service unit, taking the air traffic control unit as the dimension, establishes a year-on-year analysis model for monthly flight guarantees; the monthly comparison results of flight guarantee sorties can be quickly obtained. The month-by-month year-on-year analysis of the flight guarantees of the Southwest Air Traffic Management Bureau is shown in Figure6.Figure 6
The month-by-month year-on-year trend of flight guarantees.It can be concluded from the analysis chart that in February, July, August, and 14 months, due to the Spring Festival travel rush, golden Week, winter and summer holidays, and other reasons, all the atC sub-branches of SOUTHWEST ATMA have witnessed peak passenger traffic, and the flight traffic volume has increased significantly compared with the previous month.The statistical efficiency of system software data is shown in Table2.Table 2
Data statistical conditions and efficiency analysis.
Statistical typeStatisticalspeed(seconds)EnvironmentstatisticsStatistical report on flight sorties0.43Monthly statistics of sorties are guaranteed0.37Year-on-year analysis of flightsupport sorties0.97Year-on-year analysis of security sorties in controlled areas0.85


## 4.1. Extraction of Production Information Statistics and Data Structure Organization

During the construction of the data warehouse software of the production information statistics system, the data management granularity is selected in units of months. It is necessary to regularly receive various statistical information such as real-time flight delay report, cancellation report, alternate landing information, and emergency flight information from the line [24, 25].The data extraction process of flight support sorties is shown in Figure3.Figure 3
Schematic diagram of the data extraction process of flight sorties.After filtering, cleaning, and merging the data obtained from the data source, according to the software requirements of the production information statistics system, the following data tables are established:(1)
Flight guarantee status: this table is formed after integrating flight status and information on flight alternates, cancellations, and delays obtained from AFTN lines; the following data information is recorded: take-off and landing airport, take-off time, landing time, actual take-off time, actual landing time, flight type (normal, cancelled, delayed, alternate airport, alternate landing), route, route, company, and other information.(2)
Meteorological observation quality: observation time, observation field station, number of manual observations, error rate of observations, and the error rate and content of meteorological elements such as wind, cloud, weather phenomenon, visibility, and runway visual range.(3)
Weather forecast quality: forecast time, forecast station, the number of manual forecasts, the accuracy of forecasts, and the accuracy of forecasts in 6, 9, 12, and 24 hour forecast periods.(4)
Quality of aeronautical information reporting: release time, release of the terminal, the number of information released by the mouth, and the number of leaks.(5)
Safety monitoring: the time when the safety impact event occurred, the location where the security impact event occurred, the specific situation of the security impact event, and the analysis of the cause of the security impact event.


## 4.2. Data Modeling Analysis

Flight number statistics and analysis mainly include guarantee sorties, flight delays, the flight guarantees of the control departments such as approach, zone adjustment, and tower; it needs to be based on four dimensions: time, air traffic control unit in charge, control area, and reasons for abnormal flights, and statistics and analysis of flight sorting data are carried out. The flight sort analysis model is shown in Figure4.Figure 4
Flight sort analysis model.Based on the flight schedule information table, it can complete the data analysis related to the dimension of the oral period and the dimension of the flight type; based on the flight number and the basic airport information table, realize the data analysis model of “flight sorties-air traffic control unit”; combined with the flight schedule information, the information table is divided into routes and routes that the control department is responsible for statistics, so as to realize the data analysis model of “flight sorties in the control area.”


## 4.3. Data Analysis

This system software mainly realizes the comparative analysis of related air traffic control business data such as flight number and weather service quality. The analysis is based on the data warehouse analysis model; according to the dimensions of the data attribute division, the data are compared and analyzed mainly from two aspects: time and area. Flight number data analysis includes analysis of flight support sorties of each air traffic control unit, analysis of flight support sorties of each control area, etc. Figure5 uses month as the granularity of data management; realize the analysis of the monthly flight guarantee situation of the air traffic control sub-bureaus of the Southwest Air Traffic Control Bureau; through this chart, you can understand the number of flights guaranteed in various places and the number of flights guaranteed by month. Note: the total amount of data stored in the flight support sortie information table is 116,748 records; the index has been established for this information table, and the data statistical object in the table is information statistics related to flight support sorties of Southwest Air Traffic Management Bureau and its subordinate branches. All statistics have returned data statistics within 1 second. Through the comparison with the manual statistical data over the years, the statistical result is correct and the statistical accuracy is 100%.Figure 5
Monthly change trend chart of flight guarantee sorties.In others, such as meteorological quality, safety supervision, and other related information data statistics results are returned within 1 second, after comparison with manual data statistics, the accuracy is 100%.After data extraction, in the flight guarantee schedule information table of the established data warehouse, it records the monthly flight guarantee situation of each air traffic control service unit, taking the air traffic control unit as the dimension, establishes a year-on-year analysis model for monthly flight guarantees; the monthly comparison results of flight guarantee sorties can be quickly obtained. The month-by-month year-on-year analysis of the flight guarantees of the Southwest Air Traffic Management Bureau is shown in Figure6.Figure 6
The month-by-month year-on-year trend of flight guarantees.It can be concluded from the analysis chart that in February, July, August, and 14 months, due to the Spring Festival travel rush, golden Week, winter and summer holidays, and other reasons, all the atC sub-branches of SOUTHWEST ATMA have witnessed peak passenger traffic, and the flight traffic volume has increased significantly compared with the previous month.The statistical efficiency of system software data is shown in Table2.Table 2
Data statistical conditions and efficiency analysis.
Statistical typeStatisticalspeed(seconds)EnvironmentstatisticsStatistical report on flight sorties0.43Monthly statistics of sorties are guaranteed0.37Year-on-year analysis of flightsupport sorties0.97Year-on-year analysis of security sorties in controlled areas0.85


## 5. Conclusion

The author takes the construction of the production information statistics system of the Civil Aviation Administration of China as the background, from the perspective of user demand analysis and overall system software design, and discusses the overall system architecture, main business operation process, function realization content, and the key technical links in the system realization process; finally, from the perspective of engineering practice, the specific realization model of the system software is explained. The comprehensive management system of aTC production information statistics is based on the B/S multilayer structure, Jquery is taken as the development framework of browser application; combined with service-oriented web service technology, a pure thin client information management system is realized. In the process of implementation of the system, through the flexible application of the browser Java script development framework, that is to give full play to the computational efficiency of the client program: a browser application with flexible operation, rich performance, and relatively powerful functions is realized. Using the hierarchical computing model, through the centralized computing and processing of server-side business logic, improve the scalability and maintainability of the system. The system uses XML for data exchange and uses web service to deploy open data access interfaces, successfully realizes the statistics and analysis of air traffic control business data. Through the construction of the production information statistical system, on the basis of collecting, processing, and storing multiple types of air traffic control business data, the number of flights, weather service quality, equipment operation status, air traffic information service quality, safety supervision, infrastructure investment, and other air traffic control multibusiness areas data query, audit, statistics, and data analysis are realized. It can scientifically and objectively evaluate the production status and safety guarantee ability of multiple air traffic control business departments. Through electronic means, the production capacity of each air traffic control department is included in the evaluation scope, so as to realize the effective transmission, processing, analysis, and utilization of air traffic control production information, so as to establish an effective production efficiency evaluation mechanism. And auxiliary support is provided for the leadership’s decision making.



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*Source: 4150660-2022-05-13.xml*