CN118332769A - Air traffic control equipment simulation monitoring and simulation method and system based on digital twin - Google Patents

Abstract

The invention relates to the technical field of air duct construction, and particularly discloses an air duct equipment simulation monitoring and simulating method and system for digital twinning. According to the invention, through constructing the digital twin model corresponding to the empty pipe equipment, the bidirectional mapping between the empty pipe equipment and the virtual entity is realized by means of the three-dimensional simulation technology, and the monitoring of the empty pipe equipment is realized. Meanwhile, a fault processing model is generated by packaging the digital twin model and combining with the equipment abnormal logic rule, so that virtual fault processing operation is provided for first-line staff, and the fault processing level of the staff is improved.

Description

Air traffic control equipment simulation monitoring and simulation method and system based on digital twin

Technical Field

The present invention relates to the technical field of air traffic control construction, and in particular to a method and system for air traffic control equipment simulation monitoring and simulation based on digital twins.

Background technique

The safe operation of air traffic is inseparable from the protection of air traffic control equipment. Doppler VHF Omnidirectional Range (DVOR) is usually installed at the same location as Distance Measuring Equipment (DME) as one of the key navigation equipment. The stability and reliability of its operation play a vital role in the safety of the entire air transportation system. The operation and maintenance of the above-mentioned air traffic control equipment requires professional aviation telecommunications personnel to conduct on-site monitoring and means maintenance. The same type of equipment at the airport needs to be equipped with main equipment and backup equipment. Since the equipment put into use is expensive, there is no extra real equipment for air traffic control maintenance personnel to debug and test. The lack of test equipment has led to an incomplete understanding of the equipment by equipment maintenance personnel, resulting in insufficient and timely handling of sudden abnormal failures of the equipment.

Summary of the invention

In order to solve the problems existing in the operation and maintenance of existing air traffic control equipment, such as untimely fault handling, insufficient maintenance personnel, lack of equipment data, etc., the present invention provides an air traffic control equipment simulation monitoring and simulation method and system based on digital twins.

In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

In a first aspect, the present invention provides an air traffic control equipment simulation monitoring method based on digital twins, the method comprising:

Constructing a three-dimensional model of the air traffic control equipment, wherein the three-dimensional model includes virtual state data;

Establishing a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data;

Associating the mapping relationship with the three-dimensional model to generate a digital twin model;

Collecting the physical status data of the air traffic control equipment and determining whether a fault occurs according to a preset real-time processing algorithm;

If yes, a warning message is issued, and the digital twin model marks the corresponding fault location;

If not, or when the warning information is eliminated, the digital twin model is updated based on the entity status data.

According to a specific implementation, in the above method, the three-dimensional model includes: constructing a simulation model based on the entity of the air traffic control equipment, and constructing the geometric shape of the simulation model based on the point cloud data of the air traffic control equipment, and generating a textured virtual model in combination with machine vision.

According to a specific implementation, in the above method, establishing a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data includes:

Parsing the entity state data into a first instruction, parsing the virtual state data into a second instruction, and establishing a mapping relationship between the first instruction and the second instruction;

The physical state data performs a corresponding action according to the second instruction, and the virtual state data performs a corresponding action according to the first instruction.

According to a specific implementation, in the above method, the method further includes:

Receive user operation input, and interactively control the digital twin model and the air traffic control equipment according to the operation input.

According to a specific implementation, in the above method, the real-time processing algorithm processes the collected entity status data in real time through preset upper and lower limits of numerical anomalies.

According to a specific implementation, in the above method, the method further includes:

Collecting fault information of the air traffic control equipment, wherein the fault information includes the fault of the air traffic control equipment and the corresponding cause, processing method, processing result and entity status data;

The equipment abnormality logic rules of the air traffic control equipment are established according to the collected fault information and the corresponding relationship between the fault information.

In a second aspect, the present invention provides an air traffic control equipment simulation monitoring system based on digital twins, the system comprising:

A model building module, used to build a three-dimensional model of the air traffic control equipment, wherein the three-dimensional model includes virtual state data;

A data association module, used to establish a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data;

A digital twin module, used to associate the mapping relationship with the three-dimensional model to generate a digital twin model;

A data acquisition module, used to collect the physical state data of the air traffic control equipment;

A fault warning module is used to determine whether a fault occurs according to a preset fault handling model; if so, a warning message is issued, and the digital twin model marks the corresponding fault location; if not, the digital twin model is updated based on the entity state data;

The interactive control module is used to receive user operation input and interactively control the digital twin model and the air traffic control equipment according to the operation input.

In a third aspect, the present invention provides an air traffic control equipment simulation method based on digital twins, the method comprising:

Adopting any one of the above-mentioned air traffic control equipment simulation monitoring methods based on digital twins, encapsulating a digital twin model and equipment abnormality logic rules, and driving the digital twin model to generate a fault processing model corresponding to the fault state according to the equipment abnormality logic rules;

receiving an operation input from an identified user, and controlling the fault handling model according to the operation input;

When the fault state of the fault digital model is eliminated, the operation process of the identified user is collected, evaluated according to a preset evaluation algorithm, and an evaluation result is output.

According to a specific implementation, in the above simulation method, the training step of the evaluation algorithm includes:

Constructing a data set according to the device abnormality logic rules and training the evaluation algorithm;

Building a verification set according to the optimal fault handling process corresponding to the fault, adjusting the evaluation algorithm, and obtaining a trained evaluation algorithm;

The operation process is matched according to the trained evaluation algorithm to generate the evaluation result.

In a fourth aspect, the present invention provides an air traffic control equipment simulation system based on digital twins, characterized in that the system comprises:

Model encapsulation module for digital twin models and equipment abnormality logic rules;

A fault model module, used to drive the digital twin model to generate a fault digital model corresponding to the fault state according to the equipment abnormality logic rule;

A user authority module, used to identify the user identity and perform authority verification according to the user identity. When the authority verification is passed, the user is allowed to operate the fault digital model;

An operation control module, used for receiving an operation input from an identified user, and controlling the fault digital model according to the operation input;

The operation evaluation module is used to collect the operation process of the identified user when the fault state of the fault digital model is eliminated, evaluate it according to the preset fault processing model, and output the evaluation result.

Compared with the prior art, the present invention has the following beneficial effects:

Based on the digital twin-based air traffic control equipment simulation monitoring method and system provided by the present invention, by constructing a digital twin model corresponding to the air traffic control equipment, two-way mapping between the air traffic control equipment and the virtual entity is realized with the help of three-dimensional simulation technology, and the air traffic control equipment is monitored; at the same time, by collecting the entity status data of the air traffic control equipment and performing fault judgment according to a preset real-time processing algorithm, the present invention can timely feedback sudden abnormal conditions of the equipment, realize intelligent operation and maintenance of the air traffic control equipment, and lay a foundation for fault handling simulation teaching;

Based on the digital twin-based air traffic control equipment simulation method and system provided by the present invention, by encapsulating the digital twin model and combining the equipment abnormal logic rules to generate a digital fault model, virtual fault handling operations are provided for front-line staff, thereby improving the fault handling level of such personnel, allowing such personnel to understand the handling process of each air traffic control equipment fault in a more systematic and comprehensive manner, and evaluate through a preset fault handling model, providing intelligent assessment and teaching for such personnel.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic flow chart of an air traffic control equipment simulation monitoring method based on digital twins provided by an embodiment of the present invention;

FIG2 is a schematic diagram of a subset hierarchy for a digital twin system provided by an embodiment of the present invention;

3 is a schematic diagram of a process for constructing a virtual entity of a DVOR/DME device according to an embodiment of the present invention;

FIG4 is a schematic diagram of a data interaction interface control logic provided by an embodiment of the present invention;

FIG5 is a schematic diagram of DVOR VRB-52D mapping data items provided in an embodiment of the present invention;

FIG6 is a schematic diagram of DME LDB-102 data mapping items provided in an embodiment of the present invention;

FIG7 is a schematic diagram of a real-time data acquisition algorithm for a device according to an embodiment of the present invention;

FIG8 is a schematic diagram of a process for constructing a device abnormality logic rule according to an embodiment of the present invention;

9 is a schematic diagram of a flow chart of a virtual teaching subsystem fault simulation and assessment subsystem provided by an embodiment of the present invention;

FIG. 10 is a flow chart of an evaluation algorithm provided in an embodiment of the present invention.

Detailed ways

The present invention is further described in detail below in conjunction with test examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

Example 1

Please refer to FIG1 , which shows a flow chart of a method for air traffic control equipment simulation monitoring based on digital twins provided by an embodiment of the present invention, the method comprising:

S1. Construct a three-dimensional model of the air traffic control equipment, wherein the three-dimensional model includes virtual state data.

Among them, the three-dimensional model includes: building a simulation model based on the entity of the air traffic control equipment, and building the geometric shape of the simulation model based on the point cloud data of the air traffic control equipment, and generating a textured virtual model in combination with machine vision.

S2. Establish a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data.

Wherein, the establishing of a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data includes:

Parsing the entity state data into a first instruction, parsing the virtual state data into a second instruction, and establishing a mapping relationship between the first instruction and the second instruction;

The physical state data performs a corresponding action according to the second instruction, and the virtual state data performs a corresponding action according to the first instruction.

S3. Associating the mapping relationship with the three-dimensional model to generate a digital twin model.

Wherein, the method further comprises:

Receive user operation input, and interactively control the digital twin model and the air traffic control equipment according to the operation input.

S4, collecting the physical status data of the air traffic control equipment, and determining whether a fault occurs according to a preset real-time processing algorithm;

If yes, a warning message is issued, and the digital twin model marks the corresponding fault location;

If not, or when the warning information is eliminated, the digital twin model is updated based on the entity status data.

The real-time processing algorithm processes the collected entity status data in real time through preset upper and lower limits of numerical anomalies.

Wherein, the method further comprises:

Collecting fault information of the air traffic control equipment, wherein the fault information includes the fault of the air traffic control equipment and the corresponding cause, processing method, processing result and entity status data;

The equipment abnormality logic rules of the air traffic control equipment are established according to the collected fault information and the corresponding relationship between the fault information.

In summary, a digital twin-based air traffic control equipment simulation monitoring method provided in an embodiment of the present invention constructs a digital twin model corresponding to the air traffic control equipment, realizes two-way mapping between the air traffic control equipment and the virtual entity with the help of three-dimensional simulation technology, and realizes the monitoring of the air traffic control equipment; at the same time, the present invention collects the entity status data of the air traffic control equipment, performs fault judgment according to a preset real-time processing algorithm, and can timely feedback sudden abnormal situations of the equipment, thereby realizing intelligent operation and maintenance of the air traffic control equipment and laying the foundation for fault handling simulation teaching.

Example 2

An embodiment of the present invention provides an air traffic control equipment simulation method based on digital twins, the method comprising:

Adopting any of the above-mentioned air traffic control equipment simulation monitoring methods based on digital twins, encapsulating the digital twin model and the equipment abnormality logic rules, and driving the digital twin model to generate a fault processing model corresponding to the fault state according to the equipment abnormality logic rules;

receiving an operation input from an identified user, and controlling the fault handling model according to the operation input;

When the fault state of the fault handling model is eliminated, the operation process of the identified user is collected, evaluated according to the preset fault handling model, and the evaluation result is output.

The training steps of the evaluation algorithm include:

Constructing a data set according to the device abnormality logic rules and training the evaluation algorithm;

Building a verification set according to the optimal fault handling process corresponding to the fault, adjusting the evaluation algorithm, and obtaining a trained evaluation algorithm;

The operation process is matched according to the trained evaluation algorithm to generate the evaluation result.

To sum up, based on the digital twin-based air traffic control equipment simulation method provided by the present invention, by encapsulating the digital twin model and combining the equipment abnormal logic rules to generate a digital fault model, virtual fault handling operations are provided for front-line staff, which improves the fault handling level of such personnel, allowing such personnel to understand the handling process of each air traffic control equipment fault more systematically and comprehensively, and evaluate through a preset fault handling model, providing intelligent assessment and teaching for such personnel.

Example 3

The embodiments of the present invention are further explained and illustrated below in conjunction with specific implementation methods.

DVOR and DME equipment are basic air flight support navigation equipment at various airports in China. According to the regulations of the Civil Aviation Administration of China, DVOR and DME equipment used at airports must have a license. Most of the equipment is on the list specified by the Civil Aviation Administration, and most of these equipment are imported from abroad. These equipment are expensive, and the equipment operation and maintenance are not intelligent enough, requiring professional aviation telecommunications personnel to maintain them. Airports with the same type of equipment must be equipped with main equipment and backup equipment. Since the equipment put into use is expensive, there are no extra real equipment for air traffic control maintenance personnel to debug and test. The lack of equipment has led to an incomplete understanding of the equipment by equipment maintenance staff, resulting in insufficient and timely handling of sudden abnormal equipment failures.

Since air traffic control equipment is expensive, taking an airport of the Civil Aviation Flight University of China as an example, the airport operates and maintains the local omnidirectional beacon station and Wujiashan navigation station, which are put into use as the main equipment and backup equipment. A set of DVOR and DME equipment costs more than 4 million yuan, and front-line staff have little chance to fully debug and test the real equipment. In order to ensure the normal, stable and safe operation of the equipment and emergency handling of abnormal equipment failures, equipment operation often requires personnel to be stationed and monitored, and the DVOR navigation station is built on the route. Therefore, someone needs to be stationed outside the airport to deal with sudden equipment failures. The stationed staff are often more familiar with the maintenance of the equipment at the station and the rapid handling of faults, and the maintenance of other equipment is slightly insufficient. For aviation flight safety, the above problems need to be solved urgently.

The safety operation of VORs is mainly reflected in the failure of system equipment and performance stability. In order to improve its safety operation level, many engineers and scholars have studied the principles and influencing factors of system operation from multiple perspectives, and extracted a lot of operational maintenance experience in terms of operation performance analysis, fault analysis and simulation analysis. VORs are often caused by unexpected power outages, lightning strikes, abnormal operations and other reasons during operation, and the failure usually causes data loss of a beacon station, antenna signal chaos, communication failure and other forms of performance. Fault handling is the process of troubleshooting and repairing. The general idea is to first be familiar with the working principle of the system equipment and the function of each component, use comparison method, replacement method and other troubleshooting strategies to find the fault node and cause, and then take corresponding maintenance measures to repair it.

In 2018, Li Y et al. used a test system and three-dimensional modeling simulation technology to solve the problem of 9960Hz subcarrier modulation exceeding the limit in the DVOR system to ensure that the flight calibration passed smoothly. Taking an airport as an example, field tests and modeling simulations were carried out in the surrounding areas with the same parameters as the flight calibration to ensure that the results were consistent with the flight calibration results. It can be seen that the substation is the key factor affecting the 9960Hz subcarrier modulation exceeding the limit. After the substation was removed, the 9960Hz subcarrier modulation met the requirements and the airport finally passed a flight calibration. In 2018, Jiang Bin et al. took the alarm shutdown failure of the DVOR432 type equipment of the Luliang Airport beacon station as an example, and summarized the operating characteristics and maintenance methods of this type of equipment through the handling of the fault and the analysis of the cause of the fault. It was found that the DVOR432 type DVOR equipment is sensitive to temperature changes and the equipment process quality is relatively rough, and it is easy to generate alarms due to temperature changes; during maintenance, attention should be paid to the changing trend of equipment parameters, strict control of the room temperature, and targeted maintenance work when maintaining the equipment. In 2012, Wang Guoqiang analyzed and summarized some faults of VRB-51D carrier transmitter, providing valuable experience for the maintenance and operation of the equipment.

In summary, the fault handling of current air traffic control equipment such as DVOR is not intelligent enough, simple faults cannot be handled intelligently, and fault analysis is still in the stage of manual analysis. Failure to discover and handle faults in a timely manner can easily pose hidden dangers to aviation flights. Since most of the air traffic control equipment used in my country is purchased from abroad, digital twin technology should be used to study these equipment to achieve real-time monitoring and intelligent maintenance of equipment, and autonomous decision-making for routine faults. This project intends to use digital twin technology to achieve equipment monitoring and intelligent maintenance through two-way data mapping. At the same time, a virtual simulation system with teaching and training value will be developed for DVOR and DME equipment to improve the ability of aviation telecommunications personnel engaged in air traffic control equipment maintenance to quickly and accurately handle equipment anomalies.

For the research on the digital twin intelligent maintenance technology of DVOR equipment, it is necessary to conduct technical research on the data collection and control of imported DVOR equipment, which can be derived and extended to other imported air traffic control equipment, such as ILS, ADS-B, etc. Provide technical reference and support for the subsequent digital twin system of all air traffic control equipment. The model reconstruction research of the existing DVOR equipment model can play a guiding role in the three-dimensional model construction technology of all air traffic control equipment and provide a theoretical basis for the modeling of various types of equipment in the future. The data collection of DVOR equipment can form massive data for big data analysis, and the causes of abnormal equipment failures can be studied in the future. The research on the intelligent maintenance technology of DVOR equipment can solve the current dilemma of staff stationed monitoring and manual maintenance of equipment, improve the utilization rate of personnel while ensuring the stability of air traffic control equipment and systems.

The Civil Aviation Flight University of China is also a university with an air traffic control and communication, navigation and surveillance department. It not only has aviation telecommunications staff engaged in the maintenance of airport air traffic control equipment, but also students majoring in air traffic control support facilities in the navigation engineering major. In order to provide more comprehensive and high-quality teaching content, the embodiment of the present invention intends to implement a DVOR equipment fault simulation system through virtual simulation technology combined with equipment abnormality logic rule constraints. By collecting and organizing faults in multiple ways to form DVOR equipment abnormality logic rule constraints, a variety of simulated faults are constructed in a virtual three-dimensional scene, and system users can perform fault analysis, troubleshooting and processing through virtual simulation scenes. Finally, the system is scored in combination with an evaluation algorithm. The system can provide an immersive learning model for personnel who are interested in working in civil aviation air traffic control equipment-related positions, allowing training personnel to have a more comprehensive understanding of DVOR equipment, solving the problem that air traffic control equipment is expensive and cannot provide real test equipment for employees or students.

Except for the airport of the Civil Aviation Flight Academy of China, most of the air traffic control equipment of major domestic airports is purchased from abroad. The research on data collection and intelligent control technology of these equipment will provide more effective equipment monitoring and intelligent decision-making for my country's civil aviation, which can effectively ensure aviation flight safety. If virtual simulation teaching systems such as DVOR can be widely promoted, it will effectively improve the technical capabilities of air traffic control equipment operation and maintenance staff, and bring strong safety guarantees to my country's aviation industry.

Please refer to Figure 2, which shows a subset hierarchical diagram of the digital twin system provided by an embodiment of the present invention, wherein the system includes two subsystems. Among them, an air traffic control equipment simulation monitoring system based on digital twins includes a physical device DVOR/DME, a data collector module, a virtual simulation module, a data real-time mapping module, and a data anomaly alarm module. An air traffic control equipment simulation system based on digital twins includes a virtual simulation module, equipment anomaly logic rules, a virtual fault simulation module, and a user troubleshooting evaluation module.

Specifically, as described in S1 above, a three-dimensional model of the air traffic control equipment is constructed.

The construction of the three-dimensional model of DVOR/DME equipment is the basis of the DVOR/DME health maintenance digital twin system, and it is also the basis and key of the DVOR/DME virtual simulation teaching system. From the perspective of physical entity model construction, the model is constructed for imported DVOR/DME equipment. First, the model construction of the DVOR/DME equipment by the modeling software is analyzed, and more accurate equipment data is obtained through measurement, and the DVOR/DME equipment is modeled through modeling software such as 3D Max. Then, three-dimensional laser scanning technology is used to collect the point cloud data of the equipment through laser scanning technology, and the point cloud data is processed. A triangular mesh is formed through a model reconstruction algorithm to complete the construction of the model geometry, and a textured model is directly generated by combining the texture image from machine vision. Finally, the two modeling methods are compared to select the model with the best simulation effect. Please refer to Figure 3, which shows a flow chart of the construction of a virtual entity for DVOR/DME equipment provided by an embodiment of the present invention.

Taking the very high frequency omnidirectional range finder (DVOR/DME) ground-based equipment as an example, the model construction of a series of field equipment such as air traffic control equipment was completed through laser scanning technology, laying the foundation for subsequent intelligent maintenance of equipment.

Specifically, as described in S2 above, a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data is established.

Priority should be given to the design of the data interaction interface, which should have the function of controlling the virtual entity using a certain communication method and realize the control of the physical entity as much as possible. Please refer to Figure 4, which shows a schematic diagram of the data interaction interface control logic provided by an embodiment of the present invention.

The essence is to complete the mapping of physical entity and virtual entity data. The dotted arrow part in the figure describes the control logic of mapping physical entity to virtual entity. The data collector collects the status information of the physical entity in real time or regularly, and processes and uniformly encapsulates the collected data; puts the encapsulated instructions into the instruction buffer and parses the instructions, and then controls the virtual entity. The solid arrow part in the figure describes the control logic of mapping virtual entity to physical entity. The user's direct operation on the virtual entity will be parsed and mapped, and the data collector will parse the control and other operations corresponding to the virtual entity into instructions with the same function acting on the physical entity, and operate the physical entity through these instructions.

Specifically, as described in the above step S3, the mapping relationship is associated with the three-dimensional model to generate a digital twin model.

After completing the construction of the virtual model, the equipment monitoring subsystem is designed and implemented. Unity3D is used to implement the virtual entity part of the digital twin. Data is collected through multi-physical entity DVOR/DME devices. The data items of the collection and mapping are shown in Figures 5 and 6. Figure 5 lists the data mapping items of the DVOR device VRB-52D in detail, and Figure 6 lists the data mapping items of the DME device LDB-102 in detail. After the data collector collects and encapsulates the multi-source heterogeneous data, the data is passed to the instruction processing module to generate relevant instructions after processing, and the virtual entity module is controlled by instructions. By implementing the data interaction interface of the virtual entity, the data mapping from the physical entity to the virtual entity in the digital twin architecture is completed.

Provide users with remote control capabilities in virtual simulation scenes, receive 3D scene user events from the human-machine interface, perform behavior recognition, map user behaviors into operation instructions in the instruction processing module, pass the operation instructions to the data collector for reverse analysis of virtual entity instructions and operation of physical entities. Complete data mapping from virtual entities to physical entities in the digital twin architecture.

The complete control mapping method from physical entity to virtual entity is as follows: the physical entity data to be collected includes all the data in Figure 5 and Figure 6, and the data is collected through the serial port using different collection algorithms for different devices. The collected data is uniformly encapsulated by the data acquisition module, and the encapsulation format is "device name: data variable name: variable value". The encapsulated data is transmitted to the virtual entity display terminal, and preprocessed by its instruction processing module. First, the device category and data variable name are identified, and then the virtual entity object that needs to be changed is determined by the device category and data variable name, and the data is updated.

The complete mapping method of virtual entity to physical entity control is as follows: by performing ray collision detection on the mouse clicks of the user in the three-dimensional scene, the virtual entity object selected by the user, such as "shutdown", is obtained. After detecting that the user presses the shutdown button, the command processing module encapsulates the corresponding shutdown command, which is composed of hexadecimal, and sends the command to the data collector through TCP. The data collector forwards the command to the device through the serial port to control the shutdown of the device.

Specifically, as described in S4 above, the entity status data of the air traffic control equipment is collected, and whether a fault occurs is determined according to a preset real-time processing algorithm.

The fault alarm capability is achieved by performing real-time processing algorithms on multi-source heterogeneous data collected by the data collector in real time. The algorithm process is shown in Figure 7: Equipment real-time data collection algorithm. By setting the upper and lower limits of data anomalies, it is determined whether data anomalies have occurred. The upper and lower limits set in advance determine whether the data is lower than the lower limit or higher than the upper limit to trigger an alarm. Abnormal equipment parameters will cause the equipment to be replaced or shut down, thereby causing unsafe events. This subsystem can effectively provide a solution for unattended maintenance of DVOR/DME air traffic control equipment, improve the stability of the air traffic management equipment system, and ensure the safety of aviation flights.

Furthermore, through the analysis of the principles of very high frequency omnidirectional beacons and rangefinders, defects in the equipment design are found, and possible causes of failures and equipment manifestations are analyzed and sought.

In order to construct the equipment abnormality logic rules, consult the DVOR/DME equipment manual and the DVOR/DME equipment fault checklist, use the test equipment to perform different fault tests, and organize and summarize the information data obtained. Record the symptoms of the equipment under different fault conditions, and build the fault information library, fault processing logic library, and fault processing result library of the DVOR/DME equipment based on the above information data. Finally, further form the DVOR/DME equipment abnormality logic rules for fault simulation in the virtual teaching subsystem. Please refer to Figure 8, which shows a schematic diagram of the construction process of the equipment abnormality logic rules provided in an embodiment of the present invention.

Furthermore, in order to improve the professional and technical capabilities of aviation telecommunications personnel in maintaining DVOR/DME equipment, a virtual teaching subsystem is constructed for DVOR/DME equipment. Please refer to Figure 9, which shows a flow chart of the fault simulation and assessment subsystem of the virtual teaching subsystem provided by an embodiment of the present invention. The abnormal fault logic rules of the DVOR/DME equipment are integrated, and the scene is constructed in combination with the three-dimensional model. The virtual DVOR/DME equipment in the scene is model-driven to provide users with virtual entities of DVOR/DME equipment under different fault conditions. The user operation evaluation algorithm is used to evaluate the logical process and processing time of the user's fault handling in the virtual teaching system.

Furthermore, the evaluation algorithm is used as the main implementation method for evaluating the fault simulation assessment training. By modeling the fault handling problem, an automatic fault handling model is formed. On the basis of the model, the user's operation input using the virtual simulation teaching system is used as the input of the fault handling model to obtain the evaluation score. Please refer to Figure 10, which shows a flow chart of the evaluation algorithm provided by an embodiment of the present invention.

Fault handling model, which is based on the abnormal logic rules of DVOR/DME equipment, and the adaptive adjustment of the model, automatically evaluates different fault handling processes. In a fault simulation, every operation of the user in the virtual simulation scene will be recorded by the system for evaluation.

In summary, the embodiment of the present invention is to realize the monitoring and intelligent maintenance of DVOR equipment. The data acquisition and mapping of imported DVOR/DME equipment (VRB-52D Doppler omnidirectional beacon equipment, LDB-102 ranging ground beacon) is studied to solve the defects of the equipment requiring manual monitoring and manual maintenance, and the fault is automatically handled by intelligent decision-making, so as to solve the rapid repair method of sudden abnormal conditions of air traffic control equipment in flight support. From a theoretical perspective, the 3D scanning modeling technology and modeling software are used to construct virtual entities of air traffic control equipment. The data acquisition and mapping of DVOR equipment are explored, and the method of reverse control of physical entities by virtual entities is explored at the same time. The digital twin system of air traffic control equipment is designed and implemented with the help of three-dimensional simulation technology. On the basis of the digital twin system, a complete fault handling logic is formed through the fault list and real equipment testing, and the fault simulation teaching module used for virtual teaching is realized. The fault simulation module function of the DVOR equipment can enable front-line staff to understand the handling process of each air traffic control equipment fault more systematically and comprehensively. The embodiment of the present invention proposes a design and implementation scheme of a virtual training system based on abnormal logic rule constraints. A rapid repair method to solve sudden abnormal conditions of hollow tube equipment in flight support.

Most of the air traffic control equipment at major domestic airports is purchased from abroad. Research on the data collection and intelligent control technology of these equipment will provide more effective equipment monitoring and intelligent decision-making for my country's civil aviation, which can effectively guarantee aviation flight safety. The DVOR equipment virtual teaching subsystem provided by the embodiment of the present invention can effectively improve the emergency handling and troubleshooting capabilities of air traffic control equipment maintenance personnel, and provide a strong guarantee for aviation flight safety. If virtual simulation teaching systems such as DVOR can be widely promoted, it will effectively improve the technical capabilities of air traffic control equipment operation and maintenance personnel and promote the development of science and technology in my country's aviation field.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for air traffic control equipment simulation monitoring based on digital twins, characterized in that the method comprises: Constructing a three-dimensional model of the air traffic control equipment, wherein the three-dimensional model includes virtual state data; Establishing a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data; Associating the mapping relationship with the three-dimensional model to generate a digital twin model; Collecting the physical status data of the air traffic control equipment and determining whether a fault occurs according to a preset real-time processing algorithm; If yes, a warning message is issued, and the digital twin model marks the corresponding fault location; If not, or when the warning information is eliminated, the digital twin model is updated based on the entity status data. 2. According to claim 1, a digital twin-based air traffic control equipment simulation monitoring method is characterized in that the three-dimensional model includes: constructing a simulation model based on the entity of the air traffic control equipment, and constructing the geometric shape of the simulation model based on the point cloud data of the air traffic control equipment, and generating a textured virtual model in combination with machine vision. 3. According to the digital twin-based air traffic control equipment simulation monitoring method of claim 1, it is characterized in that the mapping relationship between the physical state data of the air traffic control equipment and the virtual state data is established, which comprises: Parsing the entity state data into a first instruction, parsing the virtual state data into a second instruction, and establishing a mapping relationship between the first instruction and the second instruction; The physical state data performs a corresponding action according to the second instruction, and the virtual state data performs a corresponding action according to the first instruction. 4. The method for air traffic control equipment simulation monitoring based on digital twin according to claim 1, characterized in that the method further comprises: Receive user operation input, and interactively control the digital twin model and the air traffic control equipment according to the operation input. 5. According to the digital twin-based air traffic control equipment simulation monitoring method of claim 1, it is characterized in that the real-time processing algorithm processes the collected entity status data in real time through preset upper and lower limits of numerical anomalies. 6. The method for air traffic control equipment simulation monitoring based on digital twin according to claim 1, characterized in that the method further comprises: Collecting fault information of the air traffic control equipment, wherein the fault information includes the fault of the air traffic control equipment and the corresponding cause, processing method, processing result and entity status data; The equipment abnormality logic rules of the air traffic control equipment are established according to the collected fault information and the corresponding relationship between the fault information. 7. An air traffic control equipment simulation monitoring system based on digital twins, characterized in that the system includes: A model building module, used to build a three-dimensional model of the air traffic control equipment, wherein the three-dimensional model includes virtual state data; A data association module, used to establish a mapping relationship between the physical state data of the air traffic control equipment and the virtual state data; A digital twin module, used to associate the mapping relationship with the three-dimensional model to generate a digital twin model; A data acquisition module, used to collect the physical state data of the air traffic control equipment; A fault warning module is used to determine whether a fault occurs according to a preset fault handling model; if so, a warning message is issued, and the digital twin model marks the corresponding fault location; if not, the digital twin model is updated based on the entity state data; The interactive control module is used to receive user operation input and interactively control the digital twin model and the air traffic control equipment according to the operation input. 8. A method for simulating air traffic control equipment based on digital twins, characterized in that the method comprises: A digital twin-based air traffic control equipment simulation monitoring method according to any one of claims 1 to 6 is adopted to encapsulate a digital twin model and equipment abnormality logic rules, and drive the digital twin model to generate a fault processing model corresponding to the fault state according to the equipment abnormality logic rules; receiving an operation input from an identified user, and controlling the fault handling model according to the operation input; When the fault state of the fault handling model is eliminated, the operation process of the identified user is collected, evaluated according to a preset evaluation algorithm, and an evaluation result is output. 9. The method for simulating air traffic control equipment based on digital twin according to claim 8, characterized in that the training step of the evaluation algorithm comprises: Constructing a data set according to the device abnormality logic rules and training the evaluation algorithm; A verification set is constructed according to the optimal fault handling process corresponding to the fault, the evaluation algorithm is adjusted, and a trained evaluation algorithm is obtained; the operation process is matched according to the trained evaluation algorithm to generate an evaluation result. 10. An air traffic control equipment simulation system based on digital twin, characterized in that the system comprises: Model encapsulation module for digital twin models and equipment abnormality logic rules; A fault model module, used to drive the digital twin model to generate a fault processing model corresponding to the fault state according to the device abnormality logic rule; A user authority module, used to identify the user identity and perform authority verification according to the user identity. When the authority verification is passed, the user is allowed to operate the fault handling model; An operation control module, used for receiving an operation input from an identified user, and controlling the fault handling model according to the operation input; The operation evaluation module is used to collect the operation process of the identified user when the fault state of the fault handling model is eliminated, evaluate it according to a preset evaluation algorithm, and output the evaluation result.