A gallery bridge node collection method

Abstract

The application discloses a kind of gallery bridge node collection methods, it is characterized in that: including the following steps: distance sensor is installed in the back of operation platform on gallery bridge and faces the interface of gallery bridge and aircraft cabin door docking;The distance between distance sensor and aircraft is S, the relationship between S and each node monitoring value of aircraft is judged and the corresponding node of aircraft is uploaded.The collection method of the application not only simple steps, convenient operation, the distance between distance sensor and aircraft is collected by distance sensor, then the position of each support node of aircraft is judged according to the distance between distance sensor and aircraft, the intelligent collection of each support node can be realized, the accuracy of collected data can also be ensured, and it is suitable for widely used.

Description

Technical Field

[0001] This invention relates to the field of flight support, and in particular to a method for collecting data on jet bridge nodes. Background Technology

[0002] Flight support nodes refer to the progress of ground support for flights at the airport. Flight support is a crucial function of airports, and real-time progress information on ground support for each flight is the primary basis for airports and air traffic control departments to allocate parking positions, support vehicles, support personnel, and flight slots for each flight. Currently, most airports use manual data entry for aircraft ground support node collection. This method is prone to false alarms and omissions, and data inaccuracy is also common. Furthermore, data collection is more challenging in areas with high summer temperatures and low winter temperatures. Airports are developing automated flight support node collection technologies, starting with AI-powered methods that utilize camera image data to identify nodes. However, current AI-based image data node identification technology has several drawbacks after field testing and practice: 1) It is heavily influenced by weather conditions; rain, snow, and fog can all affect the basic acquisition of image data; 2) It is affected by camera configuration; different models and precision cameras produce significantly different images, leading to inconsistent data results; 3) The placement of cameras at remote parking positions presents a challenge; 4) Due to limitations in camera location, system learning process, and capabilities, it cannot cover all nodes in the flight support process. Summary of the Invention

[0003] The purpose of this invention is to solve the technical problems pointed out in the background art and to provide a method for collecting data on boarding bridge nodes. This method collects the distance between the distance sensor and the aircraft using a distance sensor, and then determines the position of each support node of the aircraft based on the distance between the distance sensor and the aircraft. This enables intelligent data collection of each support node and ensures the accuracy of the collected data.

[0004] The objective of this invention is achieved through the following technical solution:

[0005] A method for collecting data on bridge nodes includes the following steps:

[0006] A. Install the distance sensor on the back of the control panel on the jet bridge, facing the interface between the jet bridge and the aircraft door;

[0007] B. Set the distance between the distance sensor and the aircraft to S. Determine whether S changes from 0 to the aircraft positioning monitoring value and maintains the aircraft positioning monitoring value for at least 5 seconds. If so, upload the aircraft positioning node.

[0008] C. Determine if S decreases three times consecutively within the aircraft docking proximity value, and then maintain the aircraft docking monitoring value for at least 5 seconds. If so, upload the aircraft docking node.

[0009] D. Determine if S decreases by more than 0.2m within 1 second, and then maintain the aircraft cabin door opening monitoring value for at least 5 seconds. If so, upload the aircraft cabin door opening node.

[0010] E. Determine if S increases by more than 0.2m within 1 second, and then maintain the aircraft cabin door closing monitoring value for at least 5 seconds. If so, upload the aircraft cabin door closing node.

[0011] F. Determine if S increases three times consecutively, then maintain the aircraft departure monitoring value for at least 5 seconds. If so, upload the aircraft departure node.

[0012] G. Determine if the aircraft pushback monitoring value of S changes to 0 and remains at 0 for at least 5 seconds. If so, upload the aircraft pushback node.

[0013] Preferably, the distance sensor acquires distance signals once per second, and the distance sensor is a laser sensor.

[0014] Preferably, the judgment step is completed by the control box, which is equipped with a microcontroller (MCU) connected to the distance sensor. The MCU receives the S data output by the distance sensor, makes a judgment, and then uploads the judgment result to the server.

[0015] Preferably, the aircraft positioning monitoring value is 4m to 12m.

[0016] Preferably, the aircraft approach distance to the bridge is 1m to 4m, and the aircraft approach distance monitoring value is 0.9m to 1.7m.

[0017] Preferably, the aircraft cabin door opening monitoring value is 0.4m to 1.3m.

[0018] Preferably, the monitoring value for closing the aircraft cabin door is 1.2m to 1.7m.

[0019] Preferably, the aircraft departure monitoring value and the aircraft pushback monitoring value are both 4m to 12m.

[0020] Preferably, the control box is equipped with a 4G module that is connected to the microcontroller (MCU).

[0021] Preferably, the control box is located on the back of the operating panel on the corridor bridge, and the distance sensor is connected to the microcontroller MCU via a USART transceiver module.

[0022] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0023] (1) The data acquisition method of the present invention is not only simple and easy to operate, but also collects the distance between the distance sensor and the aircraft by the distance sensor, and then determines the position of each support node of the aircraft based on the distance between the distance sensor and the aircraft. This enables intelligent data acquisition of each support node and ensures the accuracy of the collected data.

[0024] (2) The distance sensor of the present invention collects distance signals once per second. The distance sensor can output distance value S once per second, which makes it easy to judge the aircraft’s actions and status based on the changes in distance value S, thereby determining the aircraft’s support nodes.

[0025] (3) The judgment steps of the present invention are completed by the control box. The control box is equipped with a microcontroller MCU connected to the distance sensor. The microcontroller MCU can receive the S data output by the distance sensor and make judgments on the bridge nodes. The judgment results can also be uploaded to the server.

[0026] (4) The aircraft entry monitoring value, aircraft docking approach value, aircraft docking monitoring value, aircraft cabin door opening monitoring value, aircraft cabin door closing monitoring value, aircraft departure monitoring value, and aircraft pushback monitoring value of the present invention are determined according to the aircraft type and parking position. The aircraft entry monitoring value is set to 4m to 12m, the aircraft docking approach value is set to 1m to 4m, the aircraft docking monitoring value is set to 0.9m to 1.7m, the aircraft cabin door opening monitoring value is set to 0.4m to 1.3m, the aircraft cabin door closing monitoring value is set to 1.2m to 1.7m, and the aircraft departure monitoring value and the aircraft pushback monitoring value are both 4m to 12m, which fully takes into account the different aircraft types and parking positions applicable to civil aviation airports.

[0027] (5) The control box of the present invention is equipped with a 4G module that is connected to the microcontroller MCU, which facilitates the microcontroller MCU to realize wireless communication connection with the server through 4G network communication connection.

[0028] (6) The control box of the present invention is set on the back of the operating table on the corridor bridge. The distance sensor is connected to the microcontroller MCU through the transceiver module USART to ensure that the distance sensor can better transmit S data to the microcontroller MCU. Attached Figure Description

[0029] Figure 1 This is a flowchart illustrating the data acquisition process for the covered bridge nodes in this invention. Detailed Implementation

[0030] The present invention will be further described in detail below with reference to embodiments:

[0031] Example

[0032] like Figure 1 As shown, the method for collecting bridge nodes according to the present invention includes the following steps:

[0033] A. Install the distance sensor on the back of the control panel on the jet bridge, facing the interface between the jet bridge and the aircraft door, so as to collect distance data between the distance sensor and the aircraft, thereby obtaining the jet bridge node information.

[0034] B. The distance between the distance sensor and the aircraft is set to S. It is determined whether S changes from 0 to the aircraft arrival monitoring value and remains at that value for at least 5 seconds. If so, the distance is uploaded to the aircraft arrival node. The distance sensor used in this invention is a laser sensor. The laser sensor measures data and outputs the S value by emitting pulsed laser light to the aircraft and then returning it to the laser sensor. Before the aircraft enters the parking position, the pulsed laser light emitted by the laser sensor cannot be transmitted to the aircraft, therefore no data is measured, and the distance value output by the laser sensor is 0. When the aircraft enters the parking position, the pulsed laser light emitted by the laser sensor is reflected back to the laser sensor when it encounters the aircraft. The laser sensor receives the reflected pulsed laser light and can calculate the S value.

[0035] This invention uses a control box to determine the distance value S. The control box is located on the back of the control panel on the jet bridge and contains a microcontroller (MCU). The laser sensor is connected to the MCU via a USART transceiver module, sending the calculated distance value S to the MCU. The MCU in this invention uses an STM32F407VET6 chip. The aircraft arrival monitoring value is determined based on the aircraft type and parking position. Considering the different aircraft types and parking positions applicable to civil aviation airports, this invention sets the aircraft arrival monitoring value to 4m to 12m. When S changes from 0 to the aircraft arrival monitoring value, it indicates that the aircraft is performing an arrival maneuver. The distance sensor in this invention collects distance signals once per second and sends the distance value S to the MCU once per second. To maintain the aircraft arrival monitoring value for at least 5 seconds, the distance sensor needs to collect distance signals at least 5 times consecutively, and the resulting S value must be between 4m and 12m for the aircraft to be identified as an arrival node. The MCU then uploads the aircraft arrival node information to the server. The control box of this invention is equipped with a 4G module that is connected to a microcontroller (MCU). The microcontroller (MCU) achieves wireless communication connection with the server through a 4G network communication connection.

[0036] C. Determine if S decreases three consecutive times within the aircraft docking proximity value, then maintain the aircraft docking monitoring value for at least 5 seconds. If so, upload the data to the aircraft docking node. The "three consecutive times" in the step of determining if S decreases three consecutive times within the aircraft docking proximity value refers to the distance sensor acquiring distance signals three consecutive times, outputting three consecutive S values. Then, determine if these three consecutive S values ​​decrease continuously within the aircraft docking proximity value. In this invention, the aircraft docking proximity value is set to 1m to 4m, and the aircraft docking monitoring value is set to 0.9m to 1.7m.

[0037] D. Determine if S decreases by more than 0.2m within 1 second, and then maintain the aircraft cabin door opening monitoring value for at least 5 seconds. If so, upload the aircraft cabin door opening node. This invention sets the threshold of a decrease of more than 0.2m within 1 second to highlight a significant decrease in the S value within a short period, thereby determining the aircraft's actions and status. The distance sensor can be one that collects distance signals once per second, meaning the time interval between two adjacent distance signals collected by the distance sensor is exactly 1 second. If the distance sensor uses a frequency of multiple times per second, then determine if S decreases by more than 0.2m within 1 second. If the distance sensor uses a frequency exceeding once per second, the shortest time for the distance value S to change is the interval between two adjacent distance signals, and then determine if S decreases by more than 0.2m within the interval between two adjacent distance signals. The aircraft cabin door opening monitoring value in this invention is set to 0.4m to 1.3m.

[0038] E. Determine if S increases by more than 0.2m within 1 second, and then maintain the aircraft cabin door closing monitoring value for at least 5 seconds. If so, upload the aircraft cabin door closing node. The 1-second time in the step of determining whether S increases by more than 0.2m within 1 second can be determined based on the frequency half of the distance signal collected by the distance sensor used. As described in step D, the aircraft cabin door closing monitoring value is set to 1.2m to 1.7m.

[0039] F. Determine if S increases three times consecutively, then maintain the aircraft departure monitoring value for at least 5 seconds. If so, upload the aircraft departure node. The three consecutive increases in the "determining if S increases three times consecutively" step are as described in step C, where the distance sensor continuously collects distance signals three times. This outputs three consecutive S values. Then, determine if these three consecutive S values ​​increase continuously within the aircraft departure monitoring value range of 4m to 12m.

[0040] G. Determine if the aircraft pushback monitoring value S changes to 0 and remains at 0 for at least 5 seconds. If so, upload the aircraft pushback node. The aircraft pushback monitoring value is set to 4m~12m. After the aircraft pushes back, the distance sensor cannot measure the distance data between itself and the aircraft, and the distance sensor outputs a distance value S of 0.

[0041] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for collecting data on the nodes of a covered bridge, characterized in that: Includes the following steps: A. Install the distance sensor on the back of the control panel on the jet bridge, facing the interface between the jet bridge and the aircraft door; the distance sensor collects distance signals once per second, and the distance sensor is a laser sensor; B. Set the distance between the distance sensor and the aircraft to S. Determine whether S changes from 0 to the aircraft positioning monitoring value and maintains the aircraft positioning monitoring value for at least 5 seconds. If so, upload the aircraft positioning node. C. Determine if S decreases three times consecutively within the aircraft docking proximity value, and then maintain the aircraft docking monitoring value for at least 5 seconds. If so, upload the aircraft docking node. D. Determine if S decreases by more than 0.2m within 1 second, and then maintain the aircraft cabin door opening monitoring value for at least 5 seconds. If so, upload the aircraft cabin door opening node. E. Determine if S increases by more than 0.2m within 1 second, and then maintain the aircraft cabin door closing monitoring value for at least 5 seconds. If so, upload the aircraft cabin door closing node. F. Determine if S increases three times consecutively, then maintain the aircraft departure monitoring value for at least 5 seconds. If so, upload the aircraft departure node. G. Determine if the aircraft pushback monitoring value of S changes to 0 and remains at 0 for at least 5 seconds. If so, upload the aircraft pushback node. The judgment process is completed by the control box, which contains a microcontroller (MCU) connected to the distance sensor. The MCU receives the S data output by the distance sensor, makes a judgment, and then uploads the judgment result to the server.

2. The method for collecting bridge node data according to claim 1, characterized in that: The aircraft entry monitoring value is 4m to 12m.

3. The method for collecting bridge node data according to claim 1, characterized in that: The proximity value for aircraft approaching the bridge is 1m to 4m, and the monitoring value for aircraft approaching the bridge is 0.9m to 1.7m.

4. The method for collecting bridge node data according to claim 1, characterized in that: The monitoring value for aircraft cabin door opening is 0.4m to 1.3m.

5. A method for collecting bridge node data according to claim 1, characterized in that: The monitoring value for closing the passenger cabin door of an aircraft is 1.2m to 1.7m.

6. A method for collecting bridge node data according to claim 1, characterized in that: The monitoring values ​​for aircraft leaving the bridge and aircraft pushing back are both 4m to 12m.

7. A method for collecting bridge node data according to any one of claims 3 to 6, characterized in that: The control box is equipped with a 4G module that connects to the microcontroller (MCU).

8. A method for collecting bridge node data according to claim 7, characterized in that: The control box is located on the back of the operating console on the corridor bridge, and the distance sensor is connected to the microcontroller MCU via a USART transceiver module.

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