CN118332769A - Digital twinning-based air traffic control equipment simulation monitoring and simulating method and system - Google Patents
Digital twinning-based air traffic control equipment simulation monitoring and simulating method and system Download PDFInfo
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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
Technical Field
The invention relates to the technical field of air duct construction, in particular to an air duct equipment simulation monitoring and simulating method and system for digital twinning.
Background
The safety operation of air traffic is guaranteed by the equipment without leaving the hollow pipe, and a Doppler very high frequency omni-directional beacon (Doppler VHF Omnidirectional Range, abbreviated as DVOR) is usually installed at the same site with a range finder (Distance Measuring Equipment, abbreviated as DME) to serve as one of key navigation equipment, so that the operation stability and reliability of the device play a vital role in the safety of the whole air transportation system. The operation and maintenance of the air traffic control equipment needs to be equipped with professional aviation telecom personnel for resident monitoring and means maintenance, and the airport of the same type of equipment needs to be equipped with main equipment and standby equipment, and because the equipment put into use is expensive, no redundant real equipment is available for debugging and testing of air traffic control maintenance personnel. The lack of test equipment results in equipment maintenance staff not having an adequate understanding of the equipment, resulting in inadequate and rapid handling of sudden abnormal fault conditions of the equipment.
Disclosure of Invention
The invention provides a digital twin-based air traffic control equipment simulation monitoring and simulating method and system, which aim to solve the problems of untimely fault treatment, insufficient maintenance personnel, lack of equipment data and the like in the operation and maintenance of the existing air traffic control equipment.
In order to achieve the above object, the present invention provides the following technical solutions:
in a first aspect, the present invention provides a digital twin-based method for simulating and monitoring an air traffic control device, the method comprising:
Constructing a three-dimensional model of the air traffic control device, wherein the three-dimensional model comprises virtual state data;
Establishing a mapping relation between entity state data and virtual state data of the air traffic control equipment;
The mapping relation is associated to the three-dimensional model, and a digital twin model is generated;
Acquiring entity state data of the air traffic control equipment, and judging whether faults occur according to a preset real-time processing algorithm;
If yes, sending out early warning information, and marking a corresponding fault position by the digital twin model;
If not, or when the early warning information is eliminated, updating the digital twin model based on the entity state data.
According to a specific embodiment, in the above method, the three-dimensional model includes: and constructing a simulation model according to the entity of the empty pipe equipment, constructing the geometric shape of the simulation model according to the point cloud data of the empty pipe equipment, and generating a virtual model with textures by combining machine vision.
According to a specific embodiment, in the method, the establishing a mapping relationship between the physical state data and the virtual state data of the air traffic control device includes:
analyzing the entity state data into a first instruction, analyzing the virtual state data into a second instruction, and establishing a mapping relation between the first instruction and the second instruction;
and enabling the entity state data to perform corresponding actions according to the second instruction, and enabling the virtual state data to perform corresponding actions according to the first instruction.
According to a specific embodiment, in the above method, the method further includes:
and receiving operation input of a user, and interactively controlling the digital twin model and the air pipe equipment according to the operation input.
According to a specific embodiment, in the method, the real-time processing algorithm processes the collected entity state data in real time through a preset numerical value abnormal upper and lower boundary.
According to a specific embodiment, in the above method, the method further includes:
Collecting fault information of the air traffic control equipment, wherein the fault information comprises faults of the air traffic control equipment and corresponding reasons, processing methods, processing results and entity state data;
and establishing an equipment abnormality logic rule of the air traffic control equipment according to the collected fault information and the corresponding relation between the fault information.
In a second aspect, the present invention provides a digital twin-based air pipe device simulation monitoring system, the system comprising:
the model construction module is used for constructing a three-dimensional model of the air traffic control equipment, and the three-dimensional model comprises virtual state data;
The data association module is used for establishing a mapping relation between the entity state data and the virtual state data of the air traffic control equipment;
The digital twin module is used for associating the mapping relation to the three-dimensional model to generate a digital twin model;
The data acquisition module is used for acquiring entity state data of the empty pipe equipment;
the fault alarm module is used for judging whether faults occur or not according to a preset fault processing model; if yes, sending out early warning information, and marking a corresponding fault position by the digital twin model; if not, updating the digital twin model based on the entity state data;
and the interaction control module is used for receiving operation input of a user and interactively controlling the digital twin model and the air pipe equipment according to the operation input.
In a third aspect, the present invention provides a digital twin-based air traffic control device simulation method, the method comprising:
Adopting any one of the above digital twin-based air traffic control equipment simulation monitoring methods, packaging a digital twin model and equipment abnormal logic rules, and driving the digital twin model according to the equipment abnormal logic rules to generate a fault processing model corresponding to a fault state;
Receiving operation input from an identification user, and controlling the fault processing model according to the operation input;
And when the fault state of the fault digital model is eliminated, collecting the operation flow of the identification user, evaluating according to a preset evaluation algorithm, and outputting an evaluation result.
According to a specific embodiment, in the above simulation method, the training step of the evaluation algorithm includes:
Constructing a data set according to the equipment abnormal logic rule, and training the evaluation algorithm;
constructing a verification set according to the optimal fault processing flow corresponding to the fault, and adjusting the evaluation algorithm to obtain a trained evaluation algorithm;
And matching the operation flow according to the trained evaluation algorithm, and generating an evaluation result.
In a fourth aspect, the present invention provides a digital twin-based air traffic control equipment simulation system, which is characterized in that the system comprises:
The model packaging module is used for a digital twin model and an equipment abnormal logic rule;
the fault model module is used for driving the digital twin model to generate a fault digital model corresponding to the fault state according to the equipment abnormal logic rule;
the user authority module is used for identifying the user identity, carrying out authority verification according to the user identity, and allowing the user to operate the fault digital model after the authority verification is passed;
the operation control module is used for receiving operation input from an identification user and controlling the fault digital model according to the operation input;
And the operation evaluation module is used for collecting the operation flow of the identification user when the fault state of the fault digital model is eliminated, evaluating according to a preset fault processing model and outputting an evaluation result.
Compared with the prior art, the invention has the beneficial effects that:
based on the digital twin-based air traffic control equipment simulation monitoring method and system provided by the invention, the two-way mapping between the air traffic control equipment and the virtual entity is realized by constructing the digital twin model corresponding to the air traffic control equipment and by means of the three-dimensional simulation technology, so that the air traffic control equipment is monitored; meanwhile, the invention can timely feed back the sudden abnormal condition of the equipment by collecting the entity state data of the air traffic control equipment and carrying out fault judgment according to a preset real-time processing algorithm, thereby realizing the intelligent operation and maintenance of the air traffic control equipment and laying a foundation for fault processing simulation teaching;
According to the digital twin-based air traffic control equipment simulation method and system, the digital twin model is packaged, the fault digital model is generated by combining equipment abnormal logic rules, virtual fault processing operation is provided for first-line staff, the fault processing level of the staff is improved, the staff can more systematically and comprehensively know the processing process of each air traffic control equipment fault, and the staff can evaluate the fault through the preset fault processing model, so that intelligent evaluation and teaching of the staff are provided.
Drawings
Fig. 1 is a schematic flow chart of a digital twin-based air traffic control equipment simulation monitoring method according to an embodiment of the present invention;
FIG. 2 is a subset level diagram for a digital twin system provided by an embodiment of the present invention;
FIG. 3 is a schematic flow chart of virtual entity construction for a DVOR/DME device according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a control logic of a data interaction interface according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a DVOR VRB-52D mapping data item provided by an embodiment of the present invention;
FIG. 6 is a schematic diagram of a DME LDB-102 data mapping entry provided by an embodiment of the present invention;
FIG. 7 is a schematic diagram of a real-time data acquisition algorithm of a device according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a construction flow of an abnormal logic rule of a device according to an embodiment of the present invention;
FIG. 9 is a schematic flow chart of a virtual teaching subsystem fault simulation and assessment subsystem according to an embodiment of the present invention;
fig. 10 is a flowchart of an evaluation algorithm according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to test examples and specific embodiments. It should not be construed that the scope of the above subject matter of the present invention is limited to the following embodiments, and all techniques realized based on the present invention are within the scope of the present invention.
Example 1
Referring to fig. 1, a flow chart of a digital twin-based air traffic control device simulation monitoring method according to an embodiment of the present invention is shown, where the method includes:
S1, constructing a three-dimensional model of the air traffic control equipment, wherein the three-dimensional model comprises virtual state data.
Wherein the three-dimensional model comprises: and constructing a simulation model according to the entity of the empty pipe equipment, constructing the geometric shape of the simulation model according to the point cloud data of the empty pipe equipment, and generating a virtual model with textures by combining machine vision.
S2, establishing a mapping relation between the entity state data of the air traffic control equipment and the virtual state data.
Wherein, the establishing the mapping relationship between the entity state data and the virtual state data of the air traffic control device includes:
analyzing the entity state data into a first instruction, analyzing the virtual state data into a second instruction, and establishing a mapping relation between the first instruction and the second instruction;
and enabling the entity state data to perform corresponding actions according to the second instruction, and enabling the virtual state data to perform corresponding actions according to the first instruction.
And S3, associating the mapping relation to the three-dimensional model to generate a digital twin model.
Wherein the method further comprises:
and receiving operation input of a user, and interactively controlling the digital twin model and the air pipe equipment according to the operation input.
S4, acquiring entity state data of the air traffic control equipment, and judging whether faults occur or not according to a preset real-time processing algorithm;
If yes, sending out early warning information, and marking a corresponding fault position by the digital twin model;
If not, or when the early warning information is eliminated, updating the digital twin model based on the entity state data.
The real-time processing algorithm processes the acquired entity state data in real time through a preset numerical value abnormal upper and lower bound.
Wherein the method further comprises:
Collecting fault information of the air traffic control equipment, wherein the fault information comprises faults of the air traffic control equipment and corresponding reasons, processing methods, processing results and entity state data;
and establishing an equipment abnormality logic rule of the air traffic control equipment according to the collected fault information and the corresponding relation between the fault information.
In summary, according to the digital twin-based air traffic control equipment simulation monitoring method provided by the embodiment of the invention, by constructing the digital twin model corresponding to the air traffic control equipment, the bidirectional mapping between the air traffic control equipment and the virtual entity is realized by means of the three-dimensional simulation technology, and the air traffic control equipment is monitored; meanwhile, the invention can timely feed back the sudden abnormal condition of the equipment by collecting the entity state data of the air traffic control equipment and carrying out fault judgment according to the preset real-time processing algorithm, thereby realizing the intelligent operation and maintenance of the air traffic control equipment and laying a foundation for fault processing simulation teaching.
Example 2
The embodiment of the invention provides a digital twin-based air traffic control equipment simulation method, which comprises the following steps:
Adopting any one of the above digital twin-based air traffic control equipment simulation monitoring methods, packaging a digital twin model and equipment abnormal logic rules, and driving the digital twin model according to the equipment abnormal logic rules to generate a fault processing model corresponding to a fault state;
Receiving operation input from an identification user, and controlling the fault processing model according to the operation input;
and when the fault state of the fault processing model is eliminated, collecting the operation flow of the identification user, evaluating according to a preset fault processing model, and outputting an evaluation result.
The training step of the evaluation algorithm comprises the following steps:
Constructing a data set according to the equipment abnormal logic rule, and training the evaluation algorithm;
constructing a verification set according to the optimal fault processing flow corresponding to the fault, and adjusting the evaluation algorithm to obtain a trained evaluation algorithm;
And matching the operation flow according to the trained evaluation algorithm, and generating an evaluation result.
In summary, according to the digital twin-based air traffic control equipment simulation method provided by the invention, the digital twin model is packaged, the equipment abnormal logic rule is combined to generate the fault digital model, virtual fault processing operation is provided for first-line staff, the fault processing level of the staff is improved, the staff can more systematically and comprehensively know the processing process of each air traffic control equipment fault, and the evaluation is performed through the preset fault processing model, so that intelligent evaluation and teaching of the staff are provided.
Example 3
Examples of the invention are further explained and illustrated below in connection with specific embodiments.
The DVOR and DME equipment belong to basic air flight guarantee navigation equipment in each airport of China, according to the regulations of the national aviation administration, the DVOR and DME equipment used in the airports need to have license, most of the equipment is in the regulation list of the national aviation administration, and most of the equipment belongs to foreign import equipment. These devices are expensive and the operation and maintenance of the devices are not intelligent enough and require the provision of professional aviation telecommunication personnel for maintenance. The airport with the same type of equipment needs to be provided with main equipment and standby equipment, and because the equipment put into use is expensive, no redundant real equipment is available for debugging and testing by empty pipe maintenance personnel. The lack of equipment results in equipment maintenance staff not having an adequate understanding of the equipment, resulting in inadequate and rapid handling of sudden abnormal fault conditions of the equipment.
Because the empty pipe equipment is expensive, taking an airport of China civil aviation flight college as an example, the airport operates and maintains the omni-directional beacon station and Wu Gushan navigation station, and is used as main equipment and standby equipment, the prices of a set of DVOR and DME equipment are more than 400 ten thousand yuan, and first-line staff have a difficult opportunity to comprehensively debug and test real equipment. In order to ensure normal, stable and safe operation of equipment and emergency treatment of abnormal faults of the equipment, personnel resident monitoring is often required for the operation of the equipment, and a DVOR navigation platform is built on a navigation line. Personnel are also required outside the airport to handle equipment failure bursts. And the resident staff is often more familiar with the maintenance of resident ground equipment and the rapid fault treatment, and the maintenance of other equipment is slightly insufficient. For aviation flight safety, the above problems are to be solved.
The safety operation problem of the very high frequency omnidirectional beacon is mainly embodied in the aspects of system equipment fault condition and performance stability, and in order to improve the safety operation level of the system equipment fault condition and performance stability, a plurality of engineering personnel and scholars develop and research the principle and influence factors of the system operation from a plurality of angles, and a plurality of operation maintenance experiences are further extracted in the aspects of operation performance analysis, fault analysis, simulation analysis and the like. Very high frequency omnidirectional beacons often suffer from faults caused by unexpected power failure, lightning stroke, abnormal operation and the like in operation, and the faults usually cause the data loss, disordered antenna signal scheme, communication failure and other forms of representation of a certain beacon. The fault processing is the process of carrying out fault removal and maintenance, and the general thinking is that the working principle of system equipment and functions of each component are known, fault nodes and reasons are found by using fault removal strategies such as a comparison method, a replacement method and the like, and corresponding maintenance measures are adopted to repair the fault nodes and the reasons.
In 2018, li Y et al adopts a test system and a three-dimensional modeling simulation technology to ensure that the flight calibration smoothly passes in order to solve the problem of overrun of the modulation of a 9960Hz subcarrier of a DVOR system. Taking an airport as an example, field test and modeling simulation are carried out under the condition that the surrounding sites and parameters are the same as the flight calibration, so that the result is ensured to be well matched with the flight calibration result. It can be seen that the substation is a key factor affecting the 9960Hz subcarrier modulation overrun. After the transformer substation is dismantled, 9960Hz subcarrier modulation meets the requirements, and the airport is finally calibrated through one-time flight. Jiang et al, in 2018, take the alarm shutdown fault of Lv Liang airport beacon DVOR432 type equipment as an example, and through fault handling and fault cause analysis, summarize the operation characteristics and maintenance methods of the type equipment. The DVOR432 type DVOR equipment is sensitive to temperature change and has rough equipment process quality, and is easy to generate an alarm due to the temperature change; in maintenance, the change trend of equipment parameters is focused, the temperature of a machine room is strictly controlled, and targeted maintenance work is performed when equipment is maintained. Wang Guojiang in 2012, analysis and summary of some faults of the VRB-51D carrier transmitter provide valuable experience for maintenance and operation of equipment.
In summary, the fault processing of the existing air traffic control equipment such as the DVOR is not intelligent enough, the intelligent processing of simple faults cannot be realized, and the analysis of the faults is also in an artificial analysis stage. The fault is not found timely, hidden danger is not easy to be buried for aviation flight in time, and because most of empty pipe equipment used in China is purchased from abroad, digital twin technology is adopted for researching the equipment, so that real-time monitoring and intelligent maintenance of the equipment are realized, and autonomous decision-making is required to be realized for conventional faults. The project is to adopt a digital twin technology, realize the monitoring and intelligent maintenance of equipment through data bidirectional mapping, and simultaneously develop a virtual simulation system with teaching training value aiming at DVOR and DME equipment, so that the quick and accurate processing capability of aviation telecommunication personnel engaged in maintenance of air management equipment on equipment abnormality is improved.
For the research of the digital twin intelligent maintenance technology of the DVOR equipment, the technical attack research on the data acquisition and control of the imported DVOR equipment is required to be carried out, and the method can be derived and popularized to other imported air traffic control equipment, such as ILS, ADS-B and the like. Technical reference and support are provided for a digital twin system of all the follow-up empty pipe 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 empty pipe equipment, and provide a theoretical basis for modeling various kinds of equipment in the future. The data acquisition of the DVOR equipment can form massive data for big data analysis, so that the cause of equipment abnormal faults can be researched in the future. The intelligent maintenance technical research on the DVOR equipment can solve the embarrassment that the existing staff is stationed and monitored and manually maintained, improve the utilization rate of the staff and simultaneously ensure the stability of the equipment and the system for providing the air traffic control.
The civil aviation and flight college in China is also a college with an air traffic control system with a communication navigation monitoring system, and not only is aviation and telecommunication staff engaged in the maintenance of airport air traffic control equipment, but also students in the navigation engineering professional air traffic control guarantee facility direction. In order to provide more comprehensive and high-quality teaching contents, the embodiment of the invention aims to realize the equipment fault simulation system of the DVOR by combining the virtual simulation technology with the equipment abnormal logic rule constraint. The faults are collected and arranged in a multi-mode to form abnormal logic rule constraint of the DVOR equipment, various simulated faults are constructed in a virtual three-dimensional scene, a system user can conduct fault analysis, fault troubleshooting and processing through the virtual simulation scene, and finally the system is combined with an evaluation algorithm to score. The system can provide an immersive learning model for personnel who are purposely engaged in relevant posts of civil aviation air traffic control equipment, so that the used training personnel can more comprehensively know the DVOR equipment, and the problem that the air traffic control equipment is expensive and cannot provide real test equipment for staff or students is solved.
The air traffic control equipment of each airport in China is purchased from abroad except the airports of the civil aviation flight colleges in China, and more effective equipment monitoring and intelligent decision making can be provided for civil aviation in China for researching the data acquisition and intelligent control technology of the equipment, so that aviation flight safety can be powerfully ensured. And the virtual simulation teaching system such as DVOR can be widely popularized, so that the technical capability of staff in the aspect of operation and maintenance of the air traffic control equipment can be effectively improved, and powerful safety guarantee is brought to the aviation industry in China.
Referring to fig. 2, a subset hierarchy diagram of a digital twin system according to an embodiment of the present invention is shown, where the system includes two subsystems. The digital twinning-based air traffic control equipment simulation monitoring system comprises a physical equipment DVOR/DME, a data acquisition module, a virtual simulation module, a data real-time mapping module and a data abnormality alarm module. A digital twin-based air traffic control equipment simulation system comprises a virtual simulation module, equipment abnormal 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 empty pipe device is constructed.
The construction of the DVOR/DME equipment three-dimensional model is the basis of a DVOR/DME health maintenance digital twin system, and is also the basis and key of a DVOR/DME virtual simulation teaching system. From the point of view of physical entity model construction, model construction is carried out on imported DVOR/DME equipment. Firstly, analyzing modeling software to construct a model of the DVOR/DME equipment, obtaining more accurate equipment data through measurement, and modeling the DVOR/DME equipment through modeling software such as 3D Max. And then adopting a three-dimensional laser scanning technology, acquiring point cloud data of equipment through the laser scanning technology, processing the point cloud data, forming a triangular grid through a model reconstruction algorithm, completing the construction of the model geometric shape, and directly generating a textured model by combining with a texture picture from machine vision. Finally, comparing the two modeling means to select the model with the best simulation effect. Referring to fig. 3, a schematic flow chart of the virtual entity construction for a DVOR/DME device according to an embodiment of the present invention is shown.
Taking very high frequency omni-directional beacon and range finder (DVOR/DME) foundation equipment as an example, a series of model construction of outfield equipment such as air-traffic control equipment and the like is completed through a laser scanning technology, and a foundation is laid for intelligent maintenance of follow-up equipment.
Specifically, as described in S2 above, a mapping relationship between the physical state data and the virtual state data of the air traffic control device is established.
The design of the data interaction interface should be prioritized, the data interaction interface should have the function of controlling the virtual entity using a certain communication mode, and the control of the physical entity should be realized as much as possible. Referring to fig. 4, a schematic diagram of a control logic of a data interaction interface according to an embodiment of the present invention is shown.
The essence is to accomplish the mapping of physical entity and virtual entity data. The dashed arrow in the figure partially depicts the control logic of the mapping of physical entities to virtual entities. The data acquisition device acquires state information and the like of the physical entity in real time or at regular time, and the data acquisition device processes and uniformly encapsulates the acquired data; and placing the packaged instruction into an instruction buffer area for instruction analysis, and then controlling the virtual entity. The solid arrow portions of the figure depict the control logic of the virtual entity mapping to the physical entity. The direct operation of the user to the virtual entity is mapped by analysis, the data collector analyzes the operations such as control corresponding to the virtual entity into instructions with the same function acting on the physical entity, and the physical entity is operated through the instructions.
Specifically, as described in the above step S3, the mapping relationship is associated with the three-dimensional model, and a digital twin model is generated.
After the construction of the virtual model is completed, the design and the realization of the equipment monitoring subsystem are carried out. Implementation of digital twin virtual entity parts is performed using Unity 3D. The data acquisition is carried out through the DVOR/DME equipment with multiple physical entities, the data items of acquisition mapping are specifically shown in fig. 5 and 6, the data mapping items of the DVOR equipment VRB-52D are detailed in fig. 5, and the data mapping items of the DME equipment LDB-102 are detailed in fig. 6. The data is collected by a data collector and encapsulated, the data is transmitted to an instruction processing module to generate related instructions after the processing is completed, the virtual entity module is controlled by the instructions, and the data mapping from the physical entity to the virtual entity in the digital twin architecture is completed by realizing a data interaction interface of the virtual entity.
The method comprises the steps of providing remote control capability for a user in a virtual simulation scene, performing behavior recognition by receiving a three-dimensional scene user event from a man-machine interface, mapping user behaviors into operation instructions in an instruction processing module, transmitting the operation instructions to a data collector to reversely analyze virtual entity instructions and operate a physical entity. And finishing the data mapping from the virtual entity to the physical entity in the digital twin architecture.
The control complete mapping method from the physical entity to the virtual entity is as follows, the physical entity data to be acquired comprises all the data in the graph 6 of fig. 5, and the data is acquired by using different acquisition algorithms for different devices through serial ports. The data acquired are uniformly packaged through the data acquisition module, and the packaging format is as follows: name of data variable: variable value. The encapsulated data is transmitted into a virtual entity display terminal, the data is preprocessed by an instruction processing module of the virtual entity display terminal, the equipment category and the data variable name are firstly identified, and then the virtual entity object needing to be changed is determined through the equipment category and the data variable name, so that the data is updated.
The complete mapping method of the control from the virtual entity to the physical entity is as follows, and the virtual entity object selected by the user, such as shutdown, is obtained by performing ray collision detection on the click of the mouse operated by the user in the three-dimensional scene. After detecting that the user presses the shutdown key, the instruction processing module encapsulates a corresponding shutdown instruction, wherein the instruction is formed by a 16-system, and the instruction is sent to the data acquisition device through a TCP. The data collector forwards the instruction to the equipment control equipment to shut down through the serial port.
Specifically, as described in S4 above, the entity state data of the empty pipe device is collected, and whether a fault occurs is determined according to a preset real-time processing algorithm.
The fault alarming capability is finished by carrying out a real-time processing algorithm on multi-source heterogeneous data acquired by a data acquisition device in real time, and the algorithm process is as shown in fig. 7: and (5) a real-time data acquisition algorithm of the equipment. And judging whether the data abnormality occurs or not by setting the upper and lower boundaries of the data abnormality. The upper and lower bounds set in advance of the data judge whether the data is lower than the lower bound or higher than the upper bound to trigger an alarm or not according to the item of data, and the abnormal parameters of the equipment can cause the equipment to be changed or shut down to cause unsafe events. The subsystem can effectively provide a solution for unattended maintenance of DVOR/DME empty pipe equipment, improves the stability of an air traffic management equipment system, and ensures the safety of aviation flight.
Further, the principle of the very high frequency omni-directional beacon and the range finder is used for analyzing, searching for defects of the device design level, and analyzing and searching for possible failure reasons and device appearances.
In order to construct the abnormal logic rules of the equipment, consult a DVOR/DME equipment using manual and a DVOR/DME equipment fault checking list, use test equipment to conduct different fault tests, and sort and summarize the obtained information data. And recording symptoms of the equipment under different fault conditions, and constructing a fault information base, a fault processing logic base and a fault processing result base of the DVOR/DME equipment according to the information data. And finally, further forming an abnormal logic rule of the DVOR/DME equipment, and performing fault simulation on the virtual teaching subsystem. Referring to fig. 8, a schematic diagram of a construction flow of an abnormal device logic rule according to an embodiment of the present invention is shown.
Further, to enhance the professional technical ability of aviation telecommunication personnel to maintain the DVOR/DME device, a virtual teaching subsystem is built for the DVOR/DME device. Referring to fig. 9, a schematic flow chart of a virtual teaching subsystem fault simulation and assessment subsystem according to an embodiment of the present invention is shown. The method comprises the steps of fusing abnormal fault logic rules of the DVOR/DME equipment, constructing a scene by combining a three-dimensional model, performing model driving on virtual DVOR/DME equipment in the scene, and providing virtual entities of the DVOR/DME equipment under different fault conditions for users. And evaluating the logic flow and the processing time of the fault processing in the virtual teaching system by the user through a user operation evaluation algorithm.
Further, the evaluation algorithm is used as a main implementation method of the evaluation training of the fault simulation, the fault processing problem is modeled to form an automatic fault processing model, and on the basis of the model, the operation input of a user using the virtual simulation teaching system is used as the input of the fault processing model, so that the evaluation score is obtained. Fig. 10 is a schematic flow chart of an evaluation algorithm according to an embodiment of the invention.
And the fault processing model is carried out through abnormal logic rules of the DVOR/DME equipment, the model is self-adaptively adjusted, and the different fault processing processes are automatically evaluated. In one fault simulation, each operation of the user in the virtual simulation scenario will be recorded by the system for evaluation.
In summary, the embodiments of the present invention are to realize monitoring and intelligent maintenance of DVOR devices. The method is characterized in that data acquisition and mapping of foreign imported DVOR/DME equipment (VRB-52D Doppler omni-directional beacon equipment and LDB-102 ranging ground beacons) are studied, the defect that the equipment needs manual monitoring and manual maintenance is overcome, intelligent decision is made for faults, fault processing is automatically completed, and the rapid emergency repair method for sudden abnormal conditions of hollow pipe equipment in flight assurance is overcome. From a theoretical point of view, 3D scan modeling techniques and modeling software are discussed in terms of virtual entity construction for air management devices. And exploring the data acquisition and mapping of the DVOR equipment and exploring a method for reversely controlling a physical entity by a virtual entity. And designing and realizing the digital twin system of the air traffic control equipment by means of a three-dimensional simulation technology. Based on the digital twin system, a perfect fault processing logic is formed through a fault list and real equipment test, so that a fault simulation teaching module used for virtual teaching is realized. The fault simulation module function of the DVOR equipment can enable a line of staff to more systematically and comprehensively know the processing process of faults of each empty pipe equipment. The embodiment of the invention provides a virtual training system design and implementation scheme based on abnormal logic rule constraint. A quick emergency repair method for solving the sudden abnormal condition of a hollow pipe device in flight guarantee.
Most of domestic air traffic control equipment of various airports is purchased from abroad, and more effective equipment monitoring and intelligent decision making can be provided for domestic aviation in China by researching data acquisition and intelligent control technology of the equipment, so that aviation flight safety can be powerfully ensured. The DVOR equipment virtual teaching subsystem provided by the embodiment of the invention can effectively improve the emergency processing capability and the fault troubleshooting capability of maintenance staff of air traffic control equipment and provide powerful guarantee for aviation flight safety. And if the virtual simulation teaching system such as DVOR can be widely popularized, the technical capability of staff in the aspect of operation and maintenance of the air traffic control equipment can be effectively improved, and the scientific and technical development of the aviation and flight field in China is promoted.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. A digital twinning-based air traffic control equipment simulation monitoring method, characterized in that the method comprises the following steps:
Constructing a three-dimensional model of the air traffic control device, wherein the three-dimensional model comprises virtual state data;
Establishing a mapping relation between entity state data and virtual state data of the air traffic control equipment;
The mapping relation is associated to the three-dimensional model, and a digital twin model is generated;
Acquiring entity state data of the air traffic control equipment, and judging whether faults occur according to a preset real-time processing algorithm;
If yes, sending out early warning information, and marking a corresponding fault position by the digital twin model;
If not, or when the early warning information is eliminated, updating the digital twin model based on the entity state data.
2. A digital twin based air traffic control device simulation monitoring method according to claim 1, wherein the three-dimensional model comprises: and constructing a simulation model according to the entity of the empty pipe equipment, constructing the geometric shape of the simulation model according to the point cloud data of the empty pipe equipment, and generating a virtual model with textures by combining machine vision.
3. The method for simulating and monitoring an air traffic control device based on digital twinning according to claim 1, wherein the establishing a mapping relationship between the physical state data and the virtual state data of the air traffic control device comprises:
analyzing the entity state data into a first instruction, analyzing the virtual state data into a second instruction, and establishing a mapping relation between the first instruction and the second instruction;
and enabling the entity state data to perform corresponding actions according to the second instruction, and enabling the virtual state data to perform corresponding actions according to the first instruction.
4. A digital twinning-based air traffic control device simulation monitoring method according to claim 1, characterized in that the method further comprises:
and receiving operation input of a user, and interactively controlling the digital twin model and the air pipe equipment according to the operation input.
5. The digital twin-based air traffic control equipment simulation monitoring method according to claim 1, wherein the real-time processing algorithm processes the collected entity state data in real time through preset numerical value abnormal upper and lower bounds.
6. A digital twinning-based air traffic control device simulation monitoring method according to claim 1, characterized in that the method further comprises:
Collecting fault information of the air traffic control equipment, wherein the fault information comprises faults of the air traffic control equipment and corresponding reasons, processing methods, processing results and entity state data;
and establishing an equipment abnormality logic rule of the air traffic control equipment according to the collected fault information and the corresponding relation between the fault information.
7. An air traffic control equipment simulation monitoring system based on digital twinning, which is characterized in that the system comprises:
the model construction module is used for constructing a three-dimensional model of the air traffic control equipment, and the three-dimensional model comprises virtual state data;
The data association module is used for establishing a mapping relation between the entity state data and the virtual state data of the air traffic control equipment;
The digital twin module is used for associating the mapping relation to the three-dimensional model to generate a digital twin model;
The data acquisition module is used for acquiring entity state data of the empty pipe equipment;
the fault alarm module is used for judging whether faults occur or not according to a preset fault processing model; if yes, sending out early warning information, and marking a corresponding fault position by the digital twin model; if not, updating the digital twin model based on the entity state data;
and the interaction control module is used for receiving operation input of a user and interactively controlling the digital twin model and the air pipe equipment according to the operation input.
8. A digital twinning-based air traffic control equipment simulation method, characterized in that the method comprises:
encapsulating a digital twin model and an equipment anomaly logic rule by adopting the digital twin-based air traffic control equipment simulation monitoring method according to any one of claims 1 to 6, and driving the digital twin model according to the equipment anomaly logic rule to generate a fault processing model corresponding to a fault state;
Receiving operation input from an identification user, and controlling the fault processing model according to the operation input;
And when the fault state of the fault processing model is eliminated, collecting the operation flow of the identification user, evaluating according to a preset evaluation algorithm, and outputting an evaluation result.
9. The digital twin based air traffic control equipment simulation method according to claim 8, wherein the training step of the evaluation algorithm comprises:
Constructing a data set according to the equipment abnormal logic rule, and training the evaluation algorithm;
Constructing a verification set according to the optimal fault processing flow corresponding to the fault, and adjusting the evaluation algorithm to obtain a trained evaluation algorithm; and matching the operation flow according to the trained evaluation algorithm, and generating an evaluation result.
10. A digital twinning-based air traffic control equipment simulation system, the system comprising:
The model packaging module is used for a digital twin model and an equipment abnormal logic rule;
the fault model module is used for driving the digital twin model to generate a fault processing model corresponding to the fault state according to the equipment abnormal logic rule;
The user authority module is used for identifying the user identity, carrying out authority verification according to the user identity, and allowing the user to operate the fault processing model after the authority verification is passed;
the operation control module is used for receiving operation input from an identification user and controlling the fault processing model according to the operation input;
and the operation evaluation module is used for collecting the operation flow of the identification user when the fault state of the fault processing model is eliminated, evaluating according to a preset evaluation algorithm and outputting an evaluation result.
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