Civil aviation air traffic control equipment remote consultation method and system based on data driving

Abstract

The embodiment of the invention discloses a data-driven remote consultation method and system for civil aviation air traffic control equipment. The method comprises the following steps: establishing basic data required by the data warehouse management system; acquiring operation data of the air traffic control equipment; according to the time sequence, a system data server is adopted to carry out fault identification and alarm analysis; and calling a remote consultation tool to assist in analyzing the alarm event. The method has the following advantages: 1, a new operation mode of large operation, large post and large duty of civil aviation air traffic control communication navigation monitoring is promoted, and the operation and maintenance guarantee level, the management capability and the operation and maintenance management efficiency of air traffic control equipment are effectively improved; 2, the flexibility and innovative management level of air traffic control equipment are effectively improved, the labor cost and time cost of operation and maintenance are reduced, and the workload of operation and maintenance is reduced; and 3, the situations of air traffic control, flight delay and the like caused by equipment are reduced, the turnover rate of the airplane is indirectly improved, the flight cost is reduced, and the flight safety is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of civil aviation air traffic control equipment management, and in particular to a data-driven remote consultation method for civil aviation air traffic control equipment. Background Art

[0002] With the rapid development of the civil aviation industry, the number of civil aviation air traffic control equipment is increasing and its distribution is gradually becoming wider, and the pressure on flight support is increasing. Under the requirements of the civil aviation "large operation, large positions, and large duty" management model, the increase in the number of civil aviation air traffic control equipment, its wide distribution, and complex environment have increased the difficulty of equipment support to a certain extent. In addition, the contradiction between the limited number of operation and maintenance personnel and the large number of equipment is becoming increasingly prominent; information is not obtained in time, and maintenance work is relatively passive; the operation and maintenance means are not rich enough, and the operation data is not used enough, which increases the workload of civil aviation air traffic control equipment maintenance and the pressure on civil aviation safety.

[0003] With the rapid development of information technology, key technological achievements such as the Internet of Things, big data, and artificial intelligence can be adopted, and innovative technical means can be applied to enable remote experts to remotely assist in diagnosis and guidance of remote equipment. For example, when a remote device alarms and fails, the on-duty operation and maintenance personnel or maintenance personnel or guards who do not have a professional communication and navigation technical background can go to the designated location to check the fault according to the system prompts. At the same time, they can initiate video and voice intercoms through the system to seek remote experts for remote consultation and auxiliary processing (specific technical means include voice explanations, image guidance, technical information push, typical case sharing, etc.), minimize the downtime caused by equipment failure, thereby improving the efficiency of operation and maintenance management and ensuring aircraft flight safety.

[0004] The existing remote consultation methods for civil aviation air traffic control equipment have the following obvious disadvantages:

[0005] (1) Indicators: Most existing methods are limited to unilateral analysis of the faulty equipment itself, which often leads to troubleshooting difficulties and lacks comprehensive judgment and analysis;

[0006] (2) Functionality: Lack of innovative means to assist in troubleshooting system equipment. Summary of the invention

[0007] In order to solve the deficiencies of the prior art, the present invention provides a data-driven remote consultation method and system for civil aviation air traffic control equipment, which mainly solves the following technical problems:

[0008] 1. Provide remote consultation tools to enable remote experts to connect and interact with remote operation and maintenance sites, conduct remote diagnosis and guidance on remote equipment, and provide targeted operation and maintenance guarantee measures and auxiliary decision-making suggestions for equipment through artificial intelligence algorithms.

[0009] 2. Provide collaborative fault handling function to shorten the response and handling time of abnormal equipment or environmental situations, and help improve the industry's safety assurance capabilities.

[0010] 3. Effectively reduce the workload of professional navigation and operation and maintenance personnel, as well as related maintenance costs, alleviate the growing mismatch between human resources and the increasing demand for safe production, and achieve improved efficiency in the operation and maintenance management of civil aviation system equipment.

[0011] 4. The system results can greatly optimize and improve the operation and maintenance guarantee model of civil aviation air traffic control equipment, and provide a new equipment operation and maintenance management model for civil aviation navigation and operation personnel.

[0012] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides a data-driven remote consultation method for civil aviation air traffic control equipment, comprising:

[0013] Establish the basic data required for the data warehouse management system; the basic data includes equipment information, spare parts information, technical information, operation and maintenance experience, typical cases and expert database;

[0014] Obtaining operating data of air traffic control equipment; the operating data includes equipment operating status, equipment fault log, environment, video data, audio data and power data;

[0015] According to the time series, the system data server is used to call the basic data to perform fault identification and alarm analysis on the operation data to obtain alarm events;

[0016] Call the remote consultation tool to assist in analyzing the alarm event to provide operation and maintenance guarantee measures and auxiliary decision-making suggestions.

[0017] Furthermore, as a preferred implementation of the present application, the method further includes:

[0018] Perform on-duty operation and maintenance for the alarm events, record the alarm event phenomena, analyze the causes of the events, and track the handling process;

[0019] The alarm event phenomenon, event cause and processing process are stored in the system knowledge base.

[0020] In a second aspect, the embodiment of the present application further provides a data-driven remote consultation system for civil aviation air traffic control equipment, including:

[0021] Data warehouse;

[0022] The visual diagnosis module is used to obtain the operation data of the air traffic control equipment and store it in the data warehouse, observe the failure phenomenon of the equipment through the expert seat video playback device, and observe the equipment operation status, equipment failure log, and equipment operation-related environment and power conditions through the expert seat situation interface; the operation data includes equipment operation status, equipment failure log, environment, video data, audio data and power data;

[0023] An olfactory diagnosis module is used to process the operation data to obtain analysis data, and store the analysis data in the data warehouse;

[0024] The consultation module is used for remote experts to inquire about abnormal equipment operation phenomena based on remote consultation tools and to conduct remote voice interaction with staff; the staff includes on-duty communication and navigation operation and maintenance personnel or maintenance personnel or guards who do not have professional communication and navigation technical background;

[0025] The artificial intelligence suggestion module is used to automatically retrieve basic data and provide equipment operation and maintenance disposal suggestions when the operation and maintenance personnel or seat experts input equipment information and fault phenomena through the remote consultation tool; the basic data is stored in the data warehouse, including equipment information, spare parts information, technical data, operation and maintenance experience, typical cases and expert database.

[0026] As a specific implementation of the present application, the visual diagnosis module includes:

[0027] A video acquisition unit, used to obtain video data when the air traffic control equipment is running, and to forward and store the video data;

[0028] A video transmission unit, used for transmitting the acquired video data to the expert seat;

[0029] The video playback unit is used to play the video data and transmit the video screen of the expert seat operation to the remote operation and maintenance personnel in real time.

[0030] As a specific implementation of the present application, the auscultation module includes:

[0031] Sound collection unit, used to collect environmental sounds at the operation site of air traffic control equipment;

[0032] A sound wave filtering and noise reduction unit, used for filtering and noise reduction of the environmental sound;

[0033] A sound transmission unit, used to transmit the environmental sound after filtering and noise reduction processing, and store it in a data warehouse;

[0034] A sound diagnosis unit is used to perform equipment failure analysis based on the environmental sound.

[0035] Furthermore, as a preferred implementation of the present application, the system further includes a pulse diagnosis module, which is used to:

[0036] Acquire the operating temperature and vibration values ​​of the air traffic control equipment through a vibration sensor, a patch temperature sensor or a thermal imaging device, and store them in the data warehouse;

[0037] Provide temperature and vibration value status diagrams of equipment operation to assist experts in overall understanding of equipment operation status and assist in judging equipment operation status.

[0038] As a specific implementation of the present application, the remote consultation tool includes:

[0039] A chat interaction component is used for chatting and interacting with friends; the friends include remote experts or on-duty communication and navigation maintenance personnel or maintenance personnel or guards who do not have professional communication and navigation technical background;

[0040] Video interaction component, used to share video content with friends and provide remote guidance on device operation;

[0041] Voice intercom component, used for voice intercom between friends, asking about equipment failure symptoms, exchanging suggestions on fault handling, and guiding remote friends to handle faults;

[0042] The pan / tilt interactive component is used by remote experts to remotely control remote intelligent devices, including controlling the movement, rotation, recording and video recording of remote intelligent devices;

[0043] The equipment operation status component is used to conduct year-on-year and month-on-month analysis of the real-time status and historical status of the equipment, assist remote experts in analyzing the relationship between the equipment operation status and the equipment operation environment and power environment, and facilitate comprehensive reasoning on the causes of equipment failures;

[0044] The artificial intelligence suggestion component is used to intelligently recommend equipment fault handling suggestions based on the system knowledge base; the system knowledge base stores equipment fault handling expert information, operation and maintenance experience, typical cases, technical information and emergency procedures.

[0045] The implementation of the embodiment of the present invention has the following advantages:

[0046] 1. It is conducive to promoting the development of a new operation mode of "large operation, large post, and large duty" for civil air traffic control communication, navigation, and surveillance, effectively improving the level of air traffic control equipment operation and maintenance support and management capabilities, and improving the efficiency of civil air traffic control equipment operation and maintenance management.

[0047] 2. Effectively improve the flexibility and innovative management level of air traffic control equipment, reduce the manpower and time costs of operation and maintenance, and reduce the workload of operation and maintenance.

[0048] 3. Reduce the occurrence of air traffic control and flight delays caused by equipment, indirectly improve aircraft turnover rate, reduce flight costs and ensure flight safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the specific implementation of the present invention or the technical solution in the prior art, the drawings required for use in the specific implementation or the description of the prior art are briefly introduced below.

[0050] Figure 1 is a schematic diagram of a data-driven remote consultation method for civil aviation air traffic control equipment provided by an embodiment of the present invention;

[0051] Figure 2 It is a flowchart of remotely initiated request troubleshooting;

[0052] Figure 3 It is a flowchart of remote experts proactively troubleshooting. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0055] Please refer to Figure 1 , is a data-driven remote consultation method for civil aviation air traffic control equipment provided by an embodiment of the present invention, which may include the following steps:

[0056] S1, basic data required to establish a data warehouse management system.

[0057] The basic data includes but is not limited to equipment information, spare parts information, technical data, operation and maintenance experience, typical cases and expert database information.

[0058] S2, obtain the operating data of air traffic control equipment.

[0059] In specific implementation, multiple acquisition methods are used to obtain the operating status of air traffic control equipment, equipment fault logs, environment, video data, audio data, and power data, etc. Among them, multiple acquisition methods involve sensor technology, equipment network communication protocol technology, machine vision technology, etc.

[0060] S3, according to the time series, using the system data server to call the basic data to perform fault identification and alarm analysis on the operation data to obtain an alarm event.

[0061] S4, calling a remote consultation tool to assist in analyzing the alarm event, so as to provide operation and maintenance guarantee measures and auxiliary decision-making suggestions.

[0062] That is, remote consultation is used to further analyze the alarm event. In the actual operation and maintenance process, remote consultation is initiated in two ways. The first is that the on-duty operation and maintenance personnel or maintenance personnel or guards who do not have professional communication and technical backgrounds initiate remote assistance to the remote expert seat according to the operation and maintenance needs to assist in troubleshooting on the operation and maintenance site; the second is that the remote expert seat actively initiates remote consultation operations according to the operation and maintenance needs, analyzes the equipment operation status remotely, and quickly resolves equipment operation failures.

[0063] The first method is to remotely initiate a request to troubleshoot the fault. The specific process is as follows: Figure 2 As shown, including:

[0064] (1) Equipment failure alarm;

[0065] (2) The remote communication and navigation on-duty operation and maintenance personnel or maintenance personnel or guards who do not have professional communication and navigation technical background initiate a remote request and describe the equipment failure phenomenon;

[0066] (3) Remote experts obtain the equipment operating status, equipment failure log, and related environmental, audio, video, and power data at the time of equipment failure through system review;

[0067] (4) Experts make a judgment. If the fault is resolved, the equipment is operating normally.

[0068] (5) If the fault is not resolved, the system calls the artificial intelligence suggestion component to analyze and provide a corresponding solution;

[0069] (6) Further determine whether the fault has been resolved. If so, the equipment is operating normally. If not, refer to relevant technical information and provide a fault solution.

[0070] (7) Determine once again whether the fault has been resolved. If so, the equipment will operate normally. If not, the expert will make another judgment.

[0071] The second method is for remote experts to proactively troubleshoot the problem. The specific process is as follows: Figure 3 As shown, including:

[0072] (1) Equipment failure alarm;

[0073] (2) Remote experts proactively obtain the equipment operating status, equipment failure log, and related environmental, audio, video, and power data at the time of equipment failure through system review;

[0074] (3) Experts make a judgment. If the fault is resolved, the equipment is operating normally.

[0075] (4) If the fault is not resolved, the system calls the artificial intelligence suggestion component to analyze and provide a corresponding solution;

[0076] (5) Further determine whether the fault has been resolved. If so, the equipment is operating normally. If not, refer to relevant technical information and provide a fault solution.

[0077] (6) Determine once again whether the fault has been resolved. If so, the equipment will operate normally. If not, the expert will make another judgment.

[0078] S5, perform on-duty operation and maintenance for the alarm event, record the event phenomenon, analyze the cause of the event, track the processing process, and load it into the system knowledge base, forming excellent operation and maintenance experience to recommend deep learning training for the system artificial intelligence.

[0079] The advantages of implementing the remote consultation method for civil aviation air traffic control equipment provided by the embodiment of the present invention are as follows:

[0080] 1. It is conducive to promoting the development of a new operation mode of "large operation, large post, and large duty" for civil air traffic control communication, navigation, and surveillance, effectively improving the level of air traffic control equipment operation and maintenance support and management capabilities, and improving the efficiency of civil air traffic control equipment operation and maintenance management.

[0081] 2. Effectively improve the flexibility and innovative management level of air traffic control equipment, reduce the manpower and time costs of operation and maintenance, and reduce the workload of operation and maintenance.

[0082] 3. Reduce the occurrence of air traffic control and flight delays caused by equipment, indirectly improve aircraft turnover rate, reduce flight costs and ensure flight safety.

[0083] Based on the same inventive concept, an embodiment of the present invention provides a data-driven remote consultation system for civil aviation air traffic control equipment, including:

[0084] Data warehouse;

[0085] The visual diagnosis module is used to obtain the operating data of the air traffic control equipment and store it in the data warehouse, observe the failure phenomenon of the equipment through the expert seat video playback device, and observe the equipment operation status, equipment failure log, and equipment operation-related environment and power conditions through the expert seat situation interface;

[0086] An olfactory diagnosis module is used to process the operation data to obtain analysis data, and store the analysis data in the data warehouse;

[0087] The consultation module is used for remote experts to inquire about abnormal equipment operation phenomena based on remote consultation tools and to conduct remote voice interaction with staff, and to record the conversation voice through a recording device; the staff includes on-duty communication and navigation operation and maintenance personnel or maintenance personnel or guards who do not have professional communication and navigation technical background;

[0088] The pulse diagnosis module is used to obtain the temperature and vibration values ​​of the air traffic control equipment and provide a temperature and vibration value situation diagram of the equipment;

[0089] The artificial intelligence suggestion module is used to automatically retrieve basic data and provide equipment operation and maintenance disposal suggestions when the operation and maintenance personnel or seat experts input equipment information and fault phenomena through the remote consultation tool; the basic data is stored in the data warehouse, including equipment information, spare parts information, technical data, operation and maintenance experience, typical cases and expert database.

[0090] The visual diagnosis module mainly includes:

[0091] Standard ambient light sources, including visible and infrared light;

[0092] A video acquisition unit, which involves the acquisition, forwarding and storage of video streams; the video streams include video data of the air traffic control equipment during operation;

[0093] A video transmission unit is used to forward the video data collected by the video collection unit through a dedicated network and store it in a data warehouse in real time;

[0094] The video playback unit is used to play the aforementioned video data, observe the failure phenomena of the equipment, and observe the equipment operation status, equipment failure log, and the environment and power conditions related to the equipment operation through the expert seat situation interface; the video playback unit supports multiple experts to share the same video stream for consultation, and also supports same-screen transmission, and transmits the video screen of the expert seat operation to the remote operation and maintenance personnel in real time, to assist the operation and maintenance personnel in understanding the expert's operation and maintenance intentions.

[0095] Furthermore, the auscultation module includes:

[0096] A sound collection unit is used to collect the ambient sound at the operation site of the air traffic control equipment; in this embodiment, the sound collection unit is a smart sensor; it should be noted that the ambient sound refers to the abnormal noise when the equipment is running;

[0097] A sound filtering and noise reduction unit is used to perform noise reduction filtering on the collected environmental sound;

[0098] A sound transmission unit is used to transmit the environmental sound after noise reduction filtering through a dedicated network and store it in a data warehouse in real time;

[0099] The sound intelligent diagnosis unit is used to receive the environmental sound after the above-mentioned noise reduction filtering and analyze it to realize the fault analysis of the air traffic control equipment to assist in judging the operating status of the equipment.

[0100] Furthermore, the pulse diagnosis module obtains the temperature and vibration values ​​of the equipment operation through a vibration sensor, a patch temperature sensor or a thermal imaging device, and transmits the collected equipment operation temperature and vibration values ​​to the artificial intelligence pulse diagnosis module through a dedicated communication network, and stores the pulse diagnosis data in real time in a data warehouse; the artificial intelligence pulse diagnosis module provides a temperature and vibration value situation diagram of the equipment operation, assisting the expert seat in grasping the overall operation situation of the equipment and assisting in judging the equipment operation status.

[0101] Furthermore, in this embodiment, the remote consultation tool includes:

[0102] (1) Chat Interaction Component

[0103] The chat interaction component can create friends and group them, initiate remote assistance requests to friends, and after establishing a connection request with friends, send equipment-related text, pictures, technical data, video links and other information to friends; friends can be understood as remote experts or communication and navigation on-duty operation and maintenance personnel or maintenance personnel or caretakers who do not have professional communication and navigation technical background.

[0104] (2) Video Interaction Component

[0105] The video interaction component is used for sharing videos between friends. The remote consultation expert seat can share the interactive content with the video screen with the remote friends through the video interaction component, and guide the remote friends to perform device auxiliary operations according to the shared interactive content.

[0106] (3) Voice intercom component

[0107] The voice intercom component is used for the expert seat to conduct voice intercom with remote friends, inquire about equipment failure symptoms, exchange fault handling suggestions, and guide remote friends to handle faults.

[0108] (4) PTZ control components

[0109] The pan-tilt control component is used by the expert seat to remotely control the remote intelligent device through the system pan-tilt interaction component, and control the movement, rotation, recording, and video recording of the intelligent device.

[0110] (5) Equipment operation status component

[0111] The equipment operation status component involves the real-time status and historical status of the equipment. The real-time status of the equipment refers to the current operation status of the equipment and the related environment and power conditions. The historical status of the equipment refers to the operation status of the equipment and the related environment and power conditions when a fault occurs.

[0112] The equipment operation status component conducts year-on-year and month-on-month analysis based on the real-time status and historical status of the equipment, and assists seat experts in analyzing the relationship between the equipment operation status and the equipment operation environment and power environment, so as to facilitate comprehensive reasoning on the causes of equipment failures.

[0113] (6) Artificial Intelligence Recommendation Component

[0114] The AI ​​suggestion component intelligently recommends equipment failure handling suggestions based on the system knowledge base. The knowledge base comes from the equipment failure handling expert database, operation and maintenance experience, typical cases, technical information, emergency procedures, etc. When the expert seat or remote help seat enters the device name and equipment failure phenomenon in the AI ​​suggestion component, the system will automatically analyze the equipment failure and intelligently recommend multiple equipment failure handling suggestions for reference by the operation and maintenance personnel.

[0115] Based on the above introduction to the remote consultation system, the following example illustrates its specific workflow:

[0116] When a device fails, the on-duty maintenance personnel or maintenance personnel or guards who do not have professional communication technology background can initiate a remote consultation request to the remote expert through the remote consultation tool. Of course, the remote expert can also actively initiate a remote consultation request based on the operation and maintenance needs, and independently diagnose or assist the remote personnel in diagnosing the equipment failure;

[0117] When the remote expert establishes a connection with the remote seat, the system automatically loads the remote device operating status, device fault log, and device-related environment, video, audio, and power data to the remote consultation page. The expert seat can compare and analyze the current device operating status, environment, video, audio, and power data with the device operating status, environment, video, audio, and power data when the fault occurred.

[0118] Remote experts can review the equipment operation status, environment, video, audio, and power status of the equipment at the time of the failure through the timeline. At the same time, they can automatically retrieve equipment failure logs to assist manual analysis, determine the cause of the failure (equipment itself, environment, power), and infer the fault handling method;

[0119] Experts can use the voice intercom function of the remote consultation tool to inquire about on-site conditions and phenomena, obtain relevant information about equipment failures, and input equipment failure phenomena through the artificial intelligence suggestion component to recommend equipment failure treatment suggestions based on artificial intelligence algorithms;

[0120] After obtaining treatment suggestions, experts can guide remote personnel to assist in handling equipment failures through voice intercom, text chat, and video image guidance.

[0121] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A data-driven remote consultation method for civil aviation air traffic control equipment, characterized in that: include: Establish the basic data required for the data warehouse management system; the basic data includes equipment information, spare parts information, technical information, operation and maintenance experience, typical cases and expert database; Obtaining operating data of air traffic control equipment; the operating data includes equipment operating status, equipment fault log, environment, video data, audio data and power data; According to the time series, the system data server is used to call the basic data to perform fault identification and alarm analysis on the operation data to obtain alarm events; Call the remote consultation tool to assist in analyzing the alarm event to provide operation and maintenance guarantee measures and auxiliary decision-making suggestions.

2. The method according to claim 1, characterized in that The method further comprises: Perform on-duty operation and maintenance for the alarm events, record the alarm event phenomena, analyze the causes of the events, and track the handling process; The alarm event phenomenon, event cause and processing process are stored in the system knowledge base.

3. A data-driven remote consultation system for civil aviation air traffic control equipment, characterized in that: include: Data warehouse; The visual diagnosis module is used to obtain the operation data of the air traffic control equipment and store it in the data warehouse, observe the failure phenomenon of the equipment through the expert seat video playback device, and observe the equipment operation status, equipment failure log, and equipment operation-related environment and power conditions through the expert seat situation interface; the operation data includes equipment operation status, equipment failure log, environment, video data, audio data and power data; An olfactory diagnosis module is used to process the operation data to obtain analysis data, and store the analysis data in the data warehouse; The consultation module is used for remote experts to inquire about abnormal equipment operation phenomena based on remote consultation tools and to conduct remote voice interaction with staff; the staff includes on-duty communication and navigation operation and maintenance personnel or maintenance personnel or guards who do not have professional communication and navigation technical background; The artificial intelligence suggestion module is used to automatically retrieve basic data and provide equipment operation and maintenance disposal suggestions when the operation and maintenance personnel or seat experts input equipment information and fault phenomena through the remote consultation tool; the basic data is stored in the data warehouse, including equipment information, spare parts information, technical data, operation and maintenance experience, typical cases and expert database.

4. The system according to claim 3, characterized in that The visual diagnosis module includes: A video acquisition unit, used to obtain video data when the air traffic control equipment is running, and to forward and store the video data; A video transmission unit, used for transmitting the acquired video data to the expert seat; The video playback unit is used to play the video data and transmit the video screen of the expert seat operation to the remote operation and maintenance personnel in real time.

5. The system according to claim 3, characterized in that The olfactory diagnosis module comprises: Sound collection unit, used to collect environmental sounds at the operation site of air traffic control equipment; A sound wave filtering and noise reduction unit, used for filtering and noise reduction of the environmental sound; A sound transmission unit, used to transmit the environmental sound after filtering and noise reduction processing, and store it in a data warehouse; A sound diagnosis unit is used to perform equipment failure analysis based on the environmental sound.

6. The system according to any one of claims 3 to 5, characterized in that: The system further comprises a pulse diagnosis module, which is used for: Acquire the operating temperature and vibration values ​​of the air traffic control equipment through a vibration sensor, a patch temperature sensor or a thermal imaging device, and store them in the data warehouse; Provide temperature and vibration value status diagrams of equipment operation to assist experts in overall understanding of equipment operation status and assist in judging equipment operation status.

7. The system according to claim 3, characterized in that The remote consultation tools include: A chat interaction component is used for chatting and interacting with friends; the friends include remote experts or on-duty communication and navigation maintenance personnel or maintenance personnel or guards who do not have professional communication and navigation technical background; Video interaction component, used to share video content with friends and provide remote guidance on device operation; The voice intercom component is used for voice intercoms between friends, to inquire about equipment failure symptoms, to exchange fault handling suggestions, and to guide remote friends to handle faults.

8. The system according to claim 7, characterized in that The remote consultation tool also includes: The pan-tilt interaction component is used by remote experts to remotely control remote intelligent devices, including controlling the movement, rotation, recording and video recording of remote intelligent devices.

9. The system according to claim 8, characterized in that The remote consultation tool also includes: The equipment operation status component is used to conduct year-on-year and month-on-month analysis of the real-time status and historical status of the equipment, assist remote experts in analyzing the relationship between the equipment operation status and the equipment operation environment and power environment, and facilitate comprehensive reasoning on the causes of equipment failures.

10. The system according to claim 9, characterized in that The remote consultation tool also includes: The artificial intelligence suggestion component is used to intelligently recommend equipment fault handling suggestions based on the system knowledge base; the system knowledge base stores equipment fault handling expert information, operation and maintenance experience, typical cases, technical information and emergency procedures.

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