Civil aircraft airborne equipment safety deployment method satisfying airworthiness standards

Abstract

The application discloses a civil aviation aircraft airborne equipment safety deployment method satisfying airworthiness standards, and the method comprises the following steps: determining the airworthiness requirements of the airborne equipment according to the airworthiness standards; determining the deployment mode of the airborne equipment based on the airworthiness requirements, in combination with the aircraft type and the airline regulations; and performing safety design according to the determined deployment mode. The deployment method provided by the application can cover the airworthiness requirements of the Chinese civil aviation regulations, and the safety design of the required deployed airborne equipment can be performed in a targeted manner, so that the airborne equipment can satisfy the working environment of the civil aviation aircraft, the stability and safety of the airborne equipment are effectively improved, and the service life of the airborne equipment is prolonged.

Description

Technical Field

[0001] This invention relates to the field of airborne equipment for civil aircraft, and more specifically to a method for the safe deployment of airborne equipment for civil aircraft that meets airworthiness standards. Background Technology

[0002] With the rapid rise of the national economy, the air transport industry has made significant progress and developed rapidly. As people's living standards improve and their demands for quality increase, air travel has become the preferred mode of transportation for more and more people. Providing better service to meet passenger needs is a crucial issue that all airlines need to consider. Passengers' expectations for air travel are no longer limited to its transportation function; they also demand entertainment options such as video and internet access, and are paying more attention to flight safety.

[0003] Redesigning civil aircraft to meet the above requirements requires high research and development costs. Currently, airlines mainly modify existing aircraft by adding additional onboard equipment to meet operational needs. This can significantly reduce costs, but it also brings other problems. During flight, aircraft are exposed to harsh environments such as temperature differences, air pressure, and humidity, as well as their own vibrations, atmospheric turbulence, and electromagnetic radiation. It is also necessary to consider whether the added equipment will affect flight safety. Existing ground equipment usually does not need to consider these factors or has minimal impact, and therefore cannot be directly applied to aircraft.

[0004] Based on its understanding and mastery of aviation technology, and taking into account accidents and incidents that have occurred during operation, the Civil Aviation Administration of China (CAAC) has established strict airworthiness standards for airborne equipment. These standards represent the minimum safety requirements for a civil aircraft to fly. Issued in the form of national laws and regulations, they have mandatory legal force and serve as strong constraints on civil aircraft operation. Currently, there are still significant gaps in the deployment of airborne equipment on civil aircraft. Limited by the regulations of different airlines and the variety of aircraft models, and considering the safety issues that need to be addressed after adding airborne equipment, the airborne equipment currently installed on civil aircraft is generally custom-designed for that specific aircraft, and the types and quantities of installed equipment are limited, failing to effectively meet passenger needs. Summary of the Invention

[0005] In view of the gaps and deficiencies in the existing technology, the purpose of this invention is to propose a method for the safe deployment of airborne equipment on civil aircraft that meets airworthiness standards, so as to achieve the safe deployment of airborne equipment on civil aircraft.

[0006] In a first aspect, embodiments of the present invention provide a method for the safe deployment of airborne equipment on civil aircraft that meets airworthiness standards, including:

[0007] Determine the airworthiness requirements for airborne equipment according to airworthiness standards;

[0008] Based on the aforementioned airworthiness requirements, the deployment method of airborne equipment shall be determined in conjunction with the aircraft type and airline regulations.

[0009] Security design should be carried out based on the deployment method described.

[0010] Optionally, in this embodiment, determining the airworthiness requirements of airborne equipment according to airworthiness standards includes:

[0011] Airworthiness requirements are determined by the dimensions, weight, structural materials, markings, generality requirements, and airworthiness verification test requirements of airborne equipment.

[0012] Optionally, in this embodiment, the deployment method of the airborne equipment is determined according to the aforementioned airworthiness requirements, combined with the aircraft type and airline regulations, including:

[0013] The airborne equipment includes equipment deployed in the cockpit, passenger cabin, wheel wells, cargo hold, electronics compartment, and exterior of the aircraft;

[0014] The aircraft model refers to the internal structure of the aircraft, and the spatial range of the area to be deployed in the aircraft cabin is obtained.

[0015] The airline's regulations include the stacking height of cargo in the cargo hold.

[0016] Optionally, in this embodiment, the airborne equipment includes equipment deployed in the cockpit, passenger cabin, wheel wells, cargo hold, electronics bay, and external to the aircraft, including:

[0017] Surveillance cameras, hubs, switches, access points (APs), terminal control units, airborne servers, and air-to-ground IoT devices;

[0018] Model the aircraft fuselage and onboard equipment;

[0019] Test the coverage and strength of the signal.

[0020] Optionally, in this embodiment, security design based on the deployment method includes:

[0021] The load distribution of airborne equipment and the range of changes in the aircraft's center of gravity;

[0022] Design of environmental adaptability protection deployment for airborne equipment.

[0023] Optionally, in this embodiment, the airborne equipment environmental adaptability protection deployment design includes:

[0024] Electromagnetic compatibility protection design, corrosion-resistant deployment structure design, pressure relief protection design, vibration isolation and reinforcement design.

[0025] Optionally, in this embodiment, the airborne server equipment system security design method includes the following steps:

[0026] Obtain hardware status information of the airborne server equipment;

[0027] Loop through and record onboard server task and hardware status information;

[0028] Generate a relational mapping table to construct an equipment status prediction model;

[0029] Estimate the growth trend of computing resources and implement task management strategies.

[0030] Optionally, in this embodiment, the task management strategy method includes the following steps:

[0031] Determine the importance of each task;

[0032] Generate a resource usage midline table for each task;

[0033] Release occupied computing resources in order of importance from low to high;

[0034] After releasing computing resources, re-estimate the growth of computing resources.

[0035] As can be seen from the above description, the embodiments of the present invention have the following beneficial effects:

[0036] This invention provides a method for the safe deployment of airborne equipment on civil aircraft that meets airworthiness standards. This method is applicable to the deployment of airborne equipment across all areas of the aircraft. First, the invention analyzes the airworthiness requirements of the airborne equipment. Then, considering the actual aircraft model and the airline's own regulations, it designs a targeted safety approach for the deployment of the airborne equipment to address environmental adaptability issues and minimize the impact of the equipment on the flight safety of existing aircraft. Second, it proposes a "self-detection, self-diagnosis, self-monitoring, and self-decision-making" method for airborne server equipment, which can effectively reduce the equipment failure rate, thereby improving the deployment safety of aircraft airborne equipment. Attached Figure Description

[0037] Figure 1 This is a flowchart of a method for deploying airborne equipment on civil aircraft that meets airworthiness standards, according to an embodiment of the present invention.

[0038] Figure 2 This is a flowchart of an embodiment of the airborne equipment bus connection of the present invention;

[0039] Figure 3 This is a security design method for an airborne server equipment system according to an embodiment of the present invention;

[0040] Figure 4This is a task management strategy method according to an embodiment of the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described below in conjunction with the accompanying drawings. The various details of the embodiments of the present invention are only for understanding purposes and do not limit the scope of protection of the present invention.

[0042] It should be noted that the embodiments mentioned in this invention are exemplary, and the features, structures, and characteristics described in conjunction with the embodiments may be included in at least one embodiment of this invention.

[0043] Reference Figure 1 As shown in the figure, an embodiment of the present invention provides a flowchart of a method for the safe deployment of airborne equipment on civil aircraft that meets airworthiness standards. The method includes the following steps:

[0044] Step S101: Determine the airworthiness requirements of airborne equipment according to airworthiness standards;

[0045] Specifically, airworthiness standards should include, but are not limited to, the dimensions, weight, structural materials, markings, general applicability requirements, and airworthiness verification test requirements of airborne equipment. In particular, airborne equipment must comply with airline regulations to ensure it meets onboard safety standards; structural materials must meet aviation safety requirements and be able to withstand vibrations, shocks, and electromagnetic interference during flight; airborne equipment must clearly bear relevant markings and instructions, visually indicating its dimensions, center of gravity, weight, and special precautions; and airborne equipment should be universally applicable, capable of meeting the needs of different aircraft models.

[0046] Step S102: Determine the deployment method of airborne equipment based on the airworthiness requirements, combined with the aircraft type and airline regulations;

[0047] Specifically, the deployment location of the airborne equipment on the aircraft is determined according to its function. The airborne server is deployed in the electronics bay, the AP (wireless access node) wireless panel and switch are deployed on the top of the passenger cabin, the air-to-ground IoT device is deployed on the fuselage, and the terminal control unit is located in the cockpit. Optionally, monitoring camera equipment is deployed in the video monitoring areas of the cockpit, passenger cabin, wheel wells and cargo hold.

[0048] Step S103: Perform security design according to the deployment method.

[0049] Specifically, safety design should be carried out based on the installation location and deployment method of the airborne equipment, the load distribution and center of gravity variation range of the computer-borne equipment, and the fixing method of the loading equipment to meet the environmental adaptability requirements of the airborne equipment. The cumulative weight change caused by the airborne equipment added to the aircraft should satisfy the following formula:

[0050] w≤|W*0.5%|

[0051] Where w represents the cumulative weight change, and W represents the maximum landing weight. Optionally, the maximum landing weight of the Airbus A320 is 67,400 kg, and the total weight of any added onboard equipment must not exceed 337 kg.

[0052] Reference Figure 2 As shown in the figure, an embodiment of the present invention provides a flowchart of airborne equipment bus connection, the method including the following steps:

[0053] Step S201: Connect the surveillance camera equipment to the hub device;

[0054] Specifically, in one embodiment of the present invention, two monitoring cameras are deployed in the cockpit of an Airbus A320 aircraft, seven monitoring cameras are deployed in the passenger cabin, two monitoring cameras are deployed in each of the forward and aft cargo holds, and two monitoring cameras are deployed in the wheel wells. Optionally, the monitoring cameras are 1080P resolution cameras with infrared illumination. The cockpit monitoring cameras have a 120° field of view, the passenger cabin monitoring cameras have a 160° field of view above the aisle, a 90° field of view above the forward and aft cargo doors, a 140° field of view in the cargo hold, and a 120° field of view in the wheel wells.

[0055] Step S202: The hub device is connected to the switch;

[0056] Specifically, all surveillance cameras are connected to the hub, which in turn is connected to a switch. Optionally, the hub uses two 8-port hubs, deployed on the ceiling of the passenger cabin aisle near both sides of the cockpit. Notably, when using wireless surveillance cameras, the hub uses an access point (AP) hotspot instead.

[0057] Step S203: The switch connects to the terminal control unit and the airborne server;

[0058] Specifically, the server and terminal control unit are connected to the switch. Optionally, the terminal control unit is deployed in the cockpit for application and monitoring of airborne equipment. In particular, when using the AP hotspot method, a PoE switch is used, and a mobile terminal such as an iPad is used for the terminal control unit.

[0059] Step S204: The air-to-ground IoT device is connected to the switch;

[0060] Specifically, the air-to-ground IoT device is installed on the outside of the aircraft, located in the belly of the aircraft, and establishes a communication link with the ground.

[0061] Step S205: Test signal strength and stability.

[0062] Specifically, the aircraft fuselage and onboard equipment are modeled to simulate the coverage and strength of signals. After actual deployment, signal detectors are used to test the signal coverage and stability in each area.

[0063] It is understandable that in practical applications, airborne equipment includes, but is not limited to, the equipment mentioned above, as well as other types of necessary airborne equipment.

[0064] Reference Figure 3 As shown in the embodiment of the present invention, the airborne server equipment system security design method includes the following steps:

[0065] Step S301: Obtain the hardware status information of the airborne server equipment;

[0066] Specifically, the acquired hardware status information of the onboard server equipment includes key parameters such as temperature, memory usage, CPU utilization, GPU utilization, and remaining disk space.

[0067] Step S302: Continuously record the airborne server task and hardware status information;

[0068] Specifically, it records the hardware resource consumption of the onboard server when processing different tasks.

[0069] Step S303: Generate a relation mapping table to construct a device status prediction model;

[0070] Specifically, the recorded task and device hardware status information are used to create a table, generating a task-resource relationship mapping table S. A Furthermore, a BP neural network was used to fit the resource usage curve of the table, and a device status prediction model was constructed.

[0071] The BP neural network is defined as follows:

[0072]

[0073] The BP neural network uses a three-layer model, O k For network output, g(x) represents the estimated hardware resource utilization of the onboard server at the next time step, g(x) is the activation function, and w is the network output. ij For the input layer to hidden layer weights, w jk For the weights from the hidden layer to the output layer, a j For the input layer to hidden layer bias, b k The bias from the hidden layer to the output layer is defined as follows: l is the number of nodes in the hidden layer, n is the number of nodes in the output layer, i represents the i-th neuron in the first hidden layer, j represents the j-th neuron in the second hidden layer, and k represents the k-th neuron in the output layer. Optionally, in this embodiment of the invention, g(x) uses the sigmoid function, with l set to 1 and n set to 5.

[0074] Specifically, in one embodiment of the invention, x in the device state prediction model i The input parameters for the model include hardware status parameters of the onboard server equipment, such as temperature, memory usage, CPU utilization, GPU utilization, and remaining disk space. 'i' represents the number of input parameters. k The output of the model represents the predicted growth trend of the airborne server equipment status, and k is the number of output results of the model. That is, the model estimates whether the airborne server resource utilization will show an increasing or decreasing trend in the next moment by analyzing the current airborne server hardware status. Optionally, in this embodiment of the invention, the number of input parameters is 5, and the number of model output results is 1.

[0075] Step S304: Estimate the growth trend of hardware resource utilization of the airborne server and execute task management strategies.

[0076] Specifically, based on the output O of the equipment condition prediction model k The system can estimate the growth rate of hardware resource utilization of the onboard server. When the estimated resource utilization exceeds a preset threshold ξ, a task management strategy is executed. Optionally, in this embodiment of the invention, ξ is set to 0.8.

[0077] Reference Figure 4 As shown, the task management strategy operation in step S304 of this embodiment of the invention includes the following steps:

[0078] Step S401: Determine the importance of each task;

[0079] Specifically, the airborne server equipment performs various types of tasks, and the importance of each task is manually determined during the initialization phase. Optionally, according to one embodiment of the present invention, the task importance is ranked as follows: wheel well anomaly detection > cargo hold anomaly detection > passenger cabin event detection > cockpit violation detection > data storage > data transmission.

[0080] Step S402: Generate a resource usage midline table for each task;

[0081] Specifically, based on the task resource relationship mapping table S recorded multiple times... A The table is clustered using the density-based clustering algorithm DBSCAN. The maximum boundary of the cluster with the most elements is used as the median of task resource usage, thus obtaining a median table of resource usage for each task. This represents the median value of hardware resource utilization for each task.

[0082] Step S403: Release the occupied computing resources in order of importance from low to high;

[0083] Specifically, the growth of computing resources is estimated using the equipment status prediction model. Combined with the currently executing tasks, and utilizing the task importance predetermined in step S401, the least important tasks are returned to the task queue to wait. Furthermore, when the computing resources continuously predicted by the equipment status prediction model for t times match the median table obtained from clustering in step S402... Once the accumulated resource usage falls below the preset threshold ξ in step S304, the task is re-executed, as shown in the formula below:

[0084]

[0085] Among them, G t This represents the computational resource estimate of the equipment condition prediction model for time t. For the centerline table The median value corresponding to each task. Optionally, according to an embodiment of the present invention, t is set to 10.

[0086] Step S404: After releasing computing resources, re-estimate the growth of computing resources.

[0087] Specifically, after releasing the occupied computing resources, the growth of computing resources is re-estimated using the equipment status prediction model. If the computing resources are all below the preset threshold ξ in step S304 for k consecutive times, the airborne server is determined to be in a healthy state; otherwise, step S403 is executed again until the condition is met. Releasing the occupied computing resources specifically means putting the corresponding hardware devices into standby mode. In particular, as in the task importance ranking in step S401, wheel well anomaly detection, cargo hold anomaly detection, passenger cabin event detection, and cockpit violation detection will stop analyzing data collected by surveillance cameras deployed in different areas. Data storage will pause writing data collected by surveillance cameras into the airborne server equipment, and data transmission will stop sending data to the ground via air-to-ground IoT devices.

[0088] In this embodiment of the invention, airborne equipment can be divided into two main categories according to its deployment location: in-cabin and out-of-cabin. Airborne equipment deployed in the wheel wells and on the exterior of the fuselage is classified as out-of-cabin equipment, while airborne equipment deployed in the cockpit, passenger cabin, cargo hold, and electronics bay is classified as in-cabin equipment. Based on its operating environment, the deployment design meets airworthiness standards and includes environmental adaptability-related design features such as electromagnetic compatibility protection, corrosion-resistant deployment structure design, pressure relief protection design, and vibration isolation and reinforcement design.

[0089] Specifically, the electromagnetic compatibility protection design in this embodiment adopts the following method: A comprehensive prediction of the electromagnetic environment is performed on key parts inside the aircraft, especially in metal-covered areas; protective designs are required for areas where electromagnetic interference exists. Optionally, leakage at the joints of equipment assembly surfaces is suppressed by using techniques such as spraying, vacuum deposition, and bonding to coat the equipment surface with a conductive film to prevent radio frequency radiation. Simultaneously, high-level cables and pulse leads are arranged separately from low-level cables or filled with other media.

[0090] Specifically, the corrosion-resistant deployment structure design in this embodiment adopts the following methods: reducing the number of connectors without closed sections, reliably sealing or sealing the openings of cavities, and avoiding deep tank structures in drainage and liquid discharge paths while ensuring structural integrity. The mounting bracket adopts an integrated design to reduce connectors and decrease the intrusion of corrosive media into the airborne equipment.

[0091] Specifically, the pressure relief protection design in this embodiment adopts the following methods: the sealing device is designed to be internally evacuated or filled with protective gas, while the internal circuit gap of the airborne equipment is increased to increase the gas insulation distance, heat-resistant insulation materials and processes are used in parts that are prone to sparks, and an insulating adhesive layer is added to the air insulation area.

[0092] Specifically, in this embodiment, the vibration isolation and reinforcement design adopts the following method: Based on the location of the equipment, the vibration environment, and the load distribution, vibration isolation elements such as wire vibration isolators and rubber vibration isolators are installed. Simultaneously, the fasteners used for equipment reinforcement employ upset-formed headed fasteners and spring washers. It is understood that the environmental adaptability design adopted in practical applications should be designed according to the actual aircraft model and the relevant regulations of each airline; no restrictions are placed on the various design methods.

[0093] Furthermore, the technical aspects covered by this invention are not limited to the specific embodiments given in this application; all technologies that do not contradict the solutions of this invention are included within its scope of protection. At the same time, those skilled in the art should understand that any modifications, substitutions, and improvements that can be implemented based on design requirements and other factors should be included within the scope of protection of this application.

Claims

1. An airborne equipment of a civil aircraft meeting airworthiness standards, characterized in that Comprise: an onboard server arranged in the electronic cabin, an AP wireless panel and a switch arranged at the top of the passenger cabin, a LoRa device arranged at the belly shell, a terminal control unit arranged in the cockpit, monitoring camera devices arranged in the video monitoring areas of the cockpit, passenger cabin, wheel cabin and cargo cabin, wherein: the cumulative weight change caused by the onboard devices should meet the following formula: ， wherein, is the cumulative weight change, is the over maximum landing weight, the monitoring camera devices are connected to the hub device, the hub device is connected to the switch, the onboard server and the terminal control unit are connected to the switch, the LoRa device accesses the switch; the LoRa device is installed outside the aircraft at the belly and establishes a communication link with the ground, wherein the terminal control unit comprises: A1) a part for obtaining hardware status information of the onboard server device, the hardware status information including temperature, memory usage, CPU utilization, GPU occupancy, disk remaining space, A2) a part for cyclically recording the onboard server task and the hardware status information, the recorded content including the occupied consumption information of hardware resources when the onboard server processes different tasks, A3) a part for constructing an onboard device state estimation model, which constructs the onboard device state estimation model by generating a relationship mapping table, and the construction operation includes: The recorded task is tabulated with the device hardware state information to generate a task resource relationship mapping table , and uses a BP neural network to fit the resource usage curve of the table to construct the device state estimation model, wherein: the BP neural network is defined as follows: the BP neural network adopts a three-layer model, For network output, representing the estimated usage rate of the hardware resources of the on-board server at the next time, is the activation function, for input-to-hidden layer weights, for the hidden-to-output layer weights, for input layer to hidden layer bias, for the implicit layer to output layer bias, is the number of hidden layer nodes, Output layer node number, represents a first layer of hidden layer neurons, the first layer of hidden layer neurons, represents the second layer of hidden layer i neurons, representing the output layer of the neurons, are hardware state parameters of the onboard server device including temperature, memory usage, CPU utilization, GPU occupancy, and disk remaining space, an indicator for an input parameter, For the output of the model, representing the estimated growth trend of the hardware resource usage of the on-board server device, an indicator of the output result of the model, A4) a task management policy execution section for executing a task management policy according to the output of the model estimating a growth trend of hardware resource usage of the on-board server and executing a task management policy, wherein, when a preset threshold is exceeded an operation of a task management policy is performed.

2. An airborne equipment of a civil aircraft meeting airworthiness standards according to claim 1, characterized in that the part for constructing the onboard device state estimation model includes a part for performing the following operations: A31) Prioritize the importance of each task, including determining the task importance ranking as follows: Wheel well anomaly detection Cargo hold anomaly detection Cabin event detection Cockpit violation detection Data storage Data transmission, A32) generating a resource occupation median table of each task, including generating a task resource relationship mapping table according to the recorded multiple times, clustering the table by using a density clustering algorithm DBSCAN, taking the maximum boundary of the cluster with the largest number as the median line of the task resource occupation, and obtaining the resource occupation median table of each task , indicating the median value of the hardware resource usage rate of each task, A33) releasing the occupied computing resources from low to high in importance, including re-executing the task according to the importance of the task according to the estimated growth trend of the hardware resource usage rate of the onboard server, combined with the task currently being executed, when the following formula is true: wherein, represents a computing resource estimate of the secondary device state prediction model, is a median table corresponding to each task, A34) re-estimating the growth of computing resources after releasing the occupied computing resources, including: re-estimating the growth of computing resources using the device state estimation model after releasing the occupied computing resources, continuous each of the secondary computing resources is below the threshold if the condition is met, then the on-board server is determined to be in a healthy state, otherwise the step A33 is performed again until the condition is met.

3. The onboard device of the civil aviation aircraft meeting the airworthiness standard according to claim 2, wherein: releasing the occupied computing resources means putting the corresponding hardware device into standby state.

4. The onboard device of the civil aviation aircraft meeting the airworthiness standard according to claim 1, wherein: using a sigmoid function, set to 1, set to 5.

5. The onboard device of the civil aviation aircraft meeting the airworthiness standard according to claim 1, wherein: the hub device uses 2 8-port hubs and is deployed at the top of the passenger cabin walkway near the two sides of the cockpit, when using wireless monitoring camera devices, the hub device uses an AP hotspot instead, when using an AP hotspot, the switch uses a POE switch and the terminal control unit uses an iPad mobile terminal.

6. An operation management-control method for an onboard device of a civil aviation aircraft meeting the airworthiness standard, the onboard device comprising: an onboard server arranged in the electronic cabin, an AP wireless panel and a switch arranged at the top of the passenger cabin, a LoRa device arranged at the belly shell, a terminal control unit arranged in the cockpit, monitoring camera devices arranged in the video monitoring areas of the cockpit, passenger cabin, wheel cabin and cargo cabin, wherein: The cumulative weight change caused by the airborne equipment shall meet the following formula: ， wherein, is the cumulative weight change, is the over maximum landing weight, The monitoring camera equipment is connected to the hub equipment, The hub equipment is connected to the switch, The airborne server and the terminal control unit are connected to the switch, The air-ground IOT equipment accesses the switch; The air-ground IOT equipment is installed outside the aircraft at the belly and establishes a communication link with the ground, characterized in that it comprises: B1) obtaining hardware state information of the airborne server equipment, the hardware state information including temperature, memory usage, CPU utilization, GPU occupancy, and disk remaining space, B2) cyclically recording the airborne server task and the hardware state information, the recorded content including information on the consumption of hardware resources when the airborne server processes different tasks, B3) constructing an airborne equipment state estimation model, the construction operation including: The recorded task is tabulated with the device hardware state information to generate a task resource relationship mapping table , and using a BP neural network to fit the resource usage curve of the table to construct the device state estimation model, wherein: The BP neural network is defined as follows: The BP neural network adopts a three-layer model, For network output, representing the estimated usage of hardware resources of the onboard server at the next time instant, is the activation function, for input-to-hidden layer weights, for the hidden-to-output layer weights, for input layer to hidden layer bias, for the implicit layer to output layer bias, for the number of hidden layer nodes, Output layer node number, represents the first layer of hidden layer neurons, represents the second layer of hidden layer neurons, representing the output layer of the first neural network, The input parameters of the model are hardware state parameters of the onboard server device including temperature, memory usage, CPU utilization, GPU occupancy, and disk remaining space. an indicator for an input parameter, For the output of the model, representing the growth trend of the on-board server device state estimation, an indicator of the output result of the model, B4) output from the model estimate a growth trend in the usage of hardware resources of the on-board server and perform a task management policy, wherein, when a preset threshold is exceeded an operation of a task management policy is performed.

7. The operation management-control method according to claim 6, characterized by Step B3) includes: B31) Prioritize tasks, including determining the task importance ranking as follows: Wheel well anomaly detection Cargo hold anomaly detection Cabin event detection Cockpit violation detection Data storage Data transmission, B32) generating a resource occupation median table of each task, including generating a task resource relationship mapping table according to the recorded multiple times, clustering the table by using a density clustering algorithm DBSCAN, taking the maximum boundary of the cluster with the largest number as the median line of the task resource occupation, and obtaining the resource occupation median table of each task , indicating the median value of the hardware resource utilization rate of each task, B33) releasing the occupied computing resources from low to high in importance, including according to the estimated growth trend of the hardware resource usage rate of the airborne server, combining the currently executed tasks, and sorting the tasks according to the importance of the tasks, the task is re-executed when the following formula is true: wherein, represents computational resource estimation of the secondary device state prediction model, is a median table corresponding to each task, B34) re-estimating the growth of computing resources after releasing the occupied computing resources, including: After releasing the occupied computing resources, the device state estimation model is used to re-estimate the growth of computing resources, successively each of the secondary computing resources is below the threshold then it is determined that the on-board server is in a healthy state, otherwise step A33 is performed again until the condition is met.

8. The operation management-control method according to claim 7, characterized in that: Releasing the occupied computing resources means that the corresponding hardware device enters a standby state, using a sigmoid function, set to 1, set to 5.

9. The operation management-control method according to claim 6, characterized in that: The hub equipment uses two 8-port hubs and is deployed at the top of the cabin aisle near the cockpit on both sides, When using wireless monitoring camera equipment, the hub equipment uses an AP hotspot instead, When using an AP hotspot, the switch uses a POE switch, and the terminal control unit uses an iPad mobile terminal.

10. A computer-readable storage medium storing a computer executable program, the computer executable program enabling a processor to execute the method according to any one of claims 6-9.

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