An intelligent collection method for airport operation nodes

Abstract

The present invention discloses an intelligent collection method for airport operation nodes, including an aircraft operation node collection unit, a water cleaning vehicle operation node collection unit and a deicing vehicle operation node collection unit, wherein the aircraft operation node collection unit includes a corridor node collection unit and a remote aircraft stand node collection unit. The present invention is not only simple in structure but also convenient to use. The aircraft operation node collection unit is used to collect the operation nodes of the aircraft, and the water cleaning vehicle operation node collection unit is used to collect the guarantee nodes of the water cleaning vehicle adding water to the aircraft, and the deicing vehicle operation node collection unit is used to collect the guarantee nodes of the deicing vehicle deicing the aircraft. The intelligent collection of each operation node and guarantee node can be realized, and the accuracy of the collected data can be ensured, which is suitable for popularization and use.

Description

Technical Field

[0001] The present invention relates to the field of flight guarantee, and particularly to an intelligent acquisition method for airport operation nodes. Background Art

[0002] Flight guarantee nodes refer to the progress of ground guarantee for flights at the airport. Flight guarantee is an important function of the airport. The real-time progress information of each flight's ground guarantee is the main basis for the airport and air traffic control department to allocate parking positions, guarantee vehicles, guarantee personnel, and flight times for each flight. At present, most airports use manual input methods in the acquisition work of aircraft ground guarantee nodes. In this state of information acquisition, there are many cases of false reports and missed reports, and the data is inaccurate. In addition, the acquisition work of outfield nodes in areas with high temperatures in summer and low temperatures in winter is more difficult. Each airport is carrying out research and development work on flight guarantee automatic node acquisition technology and has started to adopt the AI intelligent method to identify nodes using the image data of cameras. So far, through field tests and practices, it has been found that this method has many drawbacks: 1) It is greatly affected by weather. Weather such as rain, snow, and haze will affect the basic acquisition of image data; 2) It is affected by the camera configuration. Different models and precisions of cameras have a large impact on the acquired data images, and the data results are inconsistent; 3) The layout position of cameras at remote positions becomes a problem; 4) Limited by the camera position, the system learning process and capabilities, it cannot cover all nodes in the flight guarantee process. Summary of the Invention

[0003] The purpose of the present invention is to solve the technical problems pointed out in the background art, and provide an intelligent acquisition method for airport operation nodes. By using an aircraft operation node acquisition unit to acquire the operation nodes of the aircraft, and using a water truck operation node acquisition unit to acquire the guarantee nodes of the water truck adding clean water to the aircraft, and using a deicing truck operation node acquisition unit to acquire the guarantee nodes of the deicing truck deicing the aircraft, the intelligent acquisition of each operation node and guarantee node can be realized, and the accuracy of the acquired data can be ensured.

[0004] The purpose of the present invention is achieved through the following technical solutions:

[0005] An intelligent acquisition system for airport operation nodes includes an aircraft operation node acquisition unit, a water truck operation node acquisition unit, and a de-icing truck operation node acquisition unit. The aircraft operation node acquisition unit includes a jet bridge node acquisition unit and a remote stand node acquisition unit. The jet bridge node acquisition unit includes a jet bridge node microprocessor MCU, a jet bridge distance sensor, and a jet bridge node 4G module. The jet bridge distance sensor and the jet bridge node 4G module are both connected to the jet bridge node microprocessor MCU. The water truck operation node acquisition unit includes a water truck operation node microprocessor MCU, a Hall sensor, and a water truck operation node 4G module. The Hall sensor and the water truck operation node 4G module are respectively connected to the water truck operation node microprocessor MCU. The de-icing truck operation node acquisition unit includes a de-icing truck operation node microprocessor MCU, an ultrasonic sensor, and a de-icing truck operation node 4G module. The ultrasonic sensor and the de-icing truck operation node 4G module are respectively connected to the de-icing truck operation node microprocessor MCU.

[0006] The remote stand node acquisition unit includes a stand node acquisition unit and a passenger boarding bridge node acquisition unit. The stand node acquisition unit includes a stand node microprocessor MCU, a stand distance sensor, and a stand node 4G module. The stand distance sensor and the stand node 4G module are both connected to the stand node microprocessor MCU. The passenger boarding bridge node acquisition unit includes a passenger boarding bridge node microprocessor MCU, a passenger boarding bridge distance sensor, and a passenger boarding bridge node 4G module. The passenger boarding bridge distance sensor and the passenger boarding bridge node 4G module are respectively connected to the passenger boarding bridge node microprocessor MCU.

[0007] Preferably, the water truck operation node acquisition unit further includes a water truck positioning module connected to the water truck operation node microprocessor MCU. The de-icing truck operation node acquisition unit further includes a de-icing truck operation node positioning module connected to the de-icing truck operation node microprocessor MCU. The passenger boarding bridge node acquisition unit further includes a passenger boarding bridge positioning module connected to the passenger boarding bridge node microprocessor MCU. The water truck positioning module, the de-icing truck operation node positioning module, and the passenger boarding bridge positioning module have exactly the same structure, and all include a GNSS receiving module and an inertial sensor. The GNSS receiving module and the inertial sensor are integrated into an integrated structure.

[0008] Preferably, the jet bridge node microprocessor MCU and the stand node microprocessor MCU are respectively connected with an RFID reader / writer.

[0009] Preferably, the jet bridge distance sensor, the stand distance sensor, and the passenger boarding bridge distance sensor all adopt laser sensors. The jet bridge node microprocessor MCU, the stand node microprocessor MCU, the passenger boarding bridge node microprocessor MCU, the water truck operation node microprocessor MCU, and the de-icing truck operation node microprocessor MCU all adopt STM32F407VET6 chips.

[0010] Preferably, it includes the aircraft operation node collection step, the water truck operation node collection step, and the de-icing truck operation node collection step; the aircraft operation node collection step is the jet bridge node collection step or the remote stand node collection step; the water truck operation node collection step is as follows:

[0011] A1. Install the Hall sensor at the position of the water truck operation box and detect whether the operation box is opened: if so, the Hall sensor sends the information that the operation box is opened to the microprocessor MCU of the water truck operation node, and the microprocessor MCU of the water truck operation node determines that the water truck starts to add clean water to the aircraft, and uploads the start of adding clean water node to the server;

[0012] A2. Detect whether the operation box is closed: if so, the Hall sensor sends the information that the operation box is closed to the microprocessor MCU of the water truck operation node, and the microprocessor MCU of the water truck operation node determines that the water truck has completed adding clean water to the aircraft, and uploads the completion of adding clean water node to the server.

[0013] Preferably, the jet bridge node collection step is as follows:

[0014] B1. Install the jet bridge distance sensor on the back of the operation console on the jet bridge and facing the docking interface between the jet bridge and the aircraft cabin door, and detect the distance between the jet bridge distance sensor and the aircraft; set the distance between the jet bridge distance sensor and the aircraft as S1, and the jet bridge distance sensor sends the detected S1 value to the microprocessor MCU of the jet bridge node; among them, the jet bridge distance sensor uses a laser sensor;

[0015] B2. The microprocessor MCU of the jet bridge node determines whether S1 changes from 0 to the aircraft in-position monitoring value and maintains the aircraft in-position monitoring value for at least 5 seconds: if so, upload the aircraft in-position node to the server;

[0016] B3. The microprocessor MCU of the jet bridge node determines whether S1 decreases continuously 3 times within the aircraft approaching the bridge proximity value and then maintains the aircraft approaching the bridge monitoring value for at least 5 seconds: if so, upload the aircraft approaching the bridge node to the server;

[0017] B4. The microprocessor MCU of the jet bridge node determines whether S1 decreases by more than 0.2 m within 1 second and then maintains the aircraft opening the cabin door monitoring value for at least 5 seconds: if so, upload the aircraft opening the cabin door node to the server;

[0018] B5. The microprocessor MCU of the jet bridge node determines whether S1 increases by more than 0.2 m within 1 second and then maintains the aircraft closing the cabin door monitoring value for at least 5 seconds: if so, upload the aircraft closing the cabin door node to the server;

[0019] B6. The microprocessor MCU of the bridge node determines whether S1 increases three times consecutively and then maintains the aircraft off-bridge monitoring value for at least 5 seconds: If so, upload the aircraft off-bridge node to the server;

[0020] B7. The microprocessor MCU of the bridge node determines whether S1 changes from the aircraft push-out monitoring value to 0 and remains 0 for at least 5 seconds: If so, upload the aircraft push-out node to the server;

[0021] Among them, the aircraft in-position monitoring value is 4m - 12m; the aircraft approaching the bridge proximity value is 1m - 4m, the aircraft approaching the bridge monitoring value is 0.9m - 1.7m; the aircraft opening the cabin door monitoring value is 0.4m - 1.3m; the aircraft closing the cabin door monitoring value is 1.2m - 1.7m; both the aircraft off-bridge monitoring value and the aircraft push-out monitoring value are 4m - 12m.

[0022] Preferably, the steps for the remote stand node to collect data are as follows:

[0023] C1. Install the stand distance sensor in front of the remote stand and detect the distance from the aircraft. The installation position of the stand sensor is 15 - 22m away from the stand and 2 - 2.5m above the ground; install the passenger ladder distance sensor on the passenger ladder and face the docking interface between the passenger ladder and the aircraft cabin door to detect the distance from the aircraft; set the distance between the stand distance sensor and the aircraft as S2, and the stand distance sensor sends the detected S2 value to the stand node microprocessor MCU; set the distance between the passenger ladder distance sensor and the aircraft as S3, and the passenger ladder distance sensor sends the detected S3 value to the passenger ladder node microprocessor MCU;

[0024] C2. The stand node microprocessor MCU determines whether S2 changes from 0 to the aircraft in-position monitoring value and then maintains the aircraft in-position monitoring value for at least 5 seconds: If so, upload the remote stand aircraft in-position node to the server;

[0025] C3. The passenger ladder node microprocessor MCU determines whether S3 decreases three times consecutively within the passenger ladder docking node proximity value and then maintains the passenger ladder docking node monitoring value for at least 5 seconds: If so, upload the passenger ladder docking node to the server;

[0026] C4. The passenger ladder node microprocessor MCU determines whether S3 decreases by more than 0.2m within 1 second and then maintains the aircraft opening the cabin door monitoring value for at least 5 seconds: If so, upload the aircraft opening the cabin door node to the server;

[0027] C5. The passenger ladder node microprocessor MCU determines whether S3 increases by more than 0.2m within 1 second and then maintains the aircraft closing the cabin door monitoring value for at least 5 seconds: If so, upload the aircraft closing the cabin door node to the server;

[0028] C6. The MCU of the passenger elevator node determines whether S3 increases three times consecutively: If so, upload the passenger elevator evacuation node to the server;

[0029] C7. The MCU of the apron node determines whether S2 continuously increases, then becomes 0 and remains 0 for at least 5 seconds: If so, upload the remote apron aircraft push-back node to the server;

[0030] Among them, the aircraft parking monitoring value is 15m - 40m, the passenger elevator docking node proximity value is 1m - 4m, and the passenger elevator docking node monitoring value is 0.9m - 1.7m; the aircraft cabin door opening monitoring value is 0.4m - 1.3m; the aircraft cabin door closing monitoring value is 1.2m - 1.7m.

[0031] Preferably, the de-icing vehicle operation node acquisition steps are as follows:

[0032] D1. Install an ultrasonic sensor on the front bumper of the de-icing vehicle and detect the distance to the lift platform of the de-icing vehicle located in front of the front bumper. Set the distance between the ultrasonic sensor and the lift platform as S4, and the ultrasonic sensor sends the detected S4 value to the MCU of the de-icing vehicle operation node;

[0033] D2. The MCU of the de-icing vehicle operation node determines whether S4 is greater than 1m for 5 consecutive seconds: If so, determine that the de-icing vehicle starts de-icing the aircraft and upload the start de-icing node to the server;

[0034] D3. The MCU of the de-icing vehicle operation node determines whether S4 is less than 1m for 5 consecutive seconds: If so, determine that the de-icing vehicle has completed de-icing the aircraft and upload the completion de-icing node to the server.

[0035] Preferably, a water truck positioning module is also connected to the MCU of the water truck operation node. The water truck positioning module collects the position information of the water truck in real time and sends the position information of the water truck to the MCU of the water truck operation node, and the MCU of the water truck operation node then uploads the position information of the water truck to the server in real time;

[0036] A de-icing vehicle positioning module is also connected to the MCU of the de-icing vehicle operation node. The de-icing vehicle positioning module collects the position information of the de-icing vehicle in real time and sends the position information of the de-icing vehicle to the MCU of the de-icing vehicle operation node, and the MCU of the de-icing vehicle operation node then uploads the position information of the de-icing vehicle to the server in real time;

[0037] A passenger elevator positioning module is also connected to the MCU of the passenger elevator node. The passenger elevator positioning module collects the position information of the passenger elevator in real time and sends the position information of the passenger elevator to the MCU of the passenger elevator node, and the MCU of the passenger elevator node then uploads the position information of the passenger elevator to the server in real time.

[0038] Preferably, the bridge node microprocessor MCU and the bridge node 4G module are arranged in the bridge node control box; the water truck operation node microprocessor MCU, the water truck positioning module and the water truck operation node 4G module are arranged in the water truck node control box; the de-icing truck operation node microprocessor MCU, the de-icing truck positioning module, the ultrasonic sensor and the de-icing truck operation node 4G module are arranged in the de-icing truck node control box; the aircraft position node microprocessor MCU and the aircraft position node 4G module are arranged in the aircraft position node control box; the passenger boarding bridge node microprocessor MCU, the passenger boarding bridge positioning module and the passenger boarding bridge node 4G module are arranged in the passenger boarding bridge node control box.

[0039] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0040] (1) The intelligent acquisition system of the present invention is not only simple in structure but also convenient to use. The operation node acquisition unit of the aircraft collects the operation nodes of the aircraft, the water truck operation node acquisition unit collects the guarantee nodes of the water truck adding clean water to the aircraft, and the de-icing truck operation node acquisition unit collects the guarantee nodes of the de-icing truck de-icing the aircraft, so as to realize the intelligent acquisition of each operation node and guarantee node and ensure the accuracy of the collected data.

[0041] (2) The water truck positioning module of the present invention can collect the position information of the water truck in real time, and the position information of the water truck is uploaded to the server in real time through the water truck operation node microprocessor MCU; the de-icing truck operation node positioning module can collect the position information of the de-icing truck in real time, and the position information of the de-icing truck is uploaded to the server in real time through the de-icing truck operation node microprocessor MCU; the passenger boarding bridge positioning module can collect the position information of the passenger boarding bridge in real time, and the position information of the passenger boarding bridge is uploaded to the server in real time through the passenger boarding bridge node microprocessor MCU; thus, it is convenient for the airport management department to manage the water truck, the de-icing truck and the passenger boarding bridge.

[0042] (3) The bridge node microprocessor MCU and the aircraft position node microprocessor MCU of the present invention are respectively connected with RFID readers, which is convenient for collecting information such as tag numbers or card numbers within the signal radiation range through the RFID readers.

[0043] (4) The bridge distance sensor, the aircraft position distance sensor and the passenger boarding bridge distance sensor of the present invention all adopt laser sensors, so that the laser sensors can detect the distance from the aircraft by emitting pulsed laser to the aircraft and then returning to the laser sensors.

[0044] (5) The acquisition method of the present invention has simple steps, including the acquisition steps of aircraft operation nodes, water truck operation nodes, and de-icing truck operation nodes; the acquisition step of aircraft operation nodes is the acquisition step of jet bridge nodes or remote stand nodes; thus, intelligent acquisition of each operation node and support node can be realized, and the accuracy of the acquired data can be ensured.

[0045] (6) In the acquisition step of the water truck operation node of the present invention, the Hall sensor is used to detect whether the operation box is opened and closed, and the microprocessor MCU of the water truck operation node judges the node where the water truck starts to add clean water and the node where the water truck finishes adding clean water according to the state of the operation box detected by the Hall sensor, realizing the intelligent acquisition of the water truck operation node.

[0046] (7) In the acquisition step of the jet bridge node of the present invention, the jet bridge distance sensor is used to detect the distance S1 between the jet bridge distance sensor and the aircraft, and the microprocessor MCU of the jet bridge node judges the operation actions and states of the aircraft according to the value of S1, thereby determining each support node of the jet bridge and realizing the intelligent acquisition of the jet bridge node.

[0047] (8) In the acquisition step of the remote stand node of the present invention, the stand distance sensor is used to detect the distance S2 between the sensor and the aircraft, and the microprocessor MCU of the stand node judges the operation actions and states of the aircraft according to the value of S2; and the passenger staircase distance sensor is used to detect the distance S3 between the sensor and the aircraft, and the microprocessor MCU of the passenger staircase node judges the operation actions and states of the aircraft according to the value of S3; thereby determining each support node of the remote stand and realizing the intelligent acquisition of the remote stand node.

[0048] (9) In the acquisition step of the de-icing truck operation node of the present invention, the ultrasonic sensor is used to detect the distance S4 between the sensor and the lift table of the de-icing truck located in front of the front bumper, and the microprocessor MCU of the de-icing truck operation node judges the support node where the de-icing truck starts to de-ice the aircraft and the support node where the de-icing truck finishes de-icing the aircraft according to the value of S4, thereby realizing the intelligent acquisition of the de-icing truck operation node.

[0049] (10) In the present invention, the microprocessor MCU of the airbridge node and the 4G module of the airbridge node are arranged in the airbridge node control box; the microprocessor MCU of the water truck operation node, the water truck positioning module and the 4G module of the water truck operation node are arranged in the water truck node control box; the microprocessor MCU of the de-icing truck operation node, the de-icing truck positioning module, the ultrasonic sensor and the 4G module of the de-icing truck operation node are arranged in the de-icing truck node control box; the microprocessor MCU of the aircraft stand node and the 4G module of the aircraft stand node are arranged in the aircraft stand node control box; the microprocessor MCU of the passenger elevator node, the passenger elevator positioning module and the 4G module of the passenger elevator node are arranged in the passenger elevator node control box, which is convenient for installation and use, and can ensure smooth communication between the sensors for collecting distance information and the microprocessors MCU for processing distance information at each guarantee node. Description of the Drawings

[0050] Figure 1 is a schematic diagram of the structure of the airbridge node acquisition unit of the present invention;

[0051] Figure 2 is a schematic diagram of the structure of the aircraft stand node acquisition unit of the present invention;

[0052] Figure 3 is a schematic diagram of the structure of the passenger elevator node acquisition unit of the present invention;

[0053] Figure 4 is a schematic diagram of the structure of the water truck operation node acquisition unit of the present invention;

[0054] Figure 5 is a schematic diagram of the structure of the de-icing truck operation node acquisition unit of the present invention;

[0055] Figure 6 is a flowchart of the acquisition of the water truck operation node;

[0056] Figure 7 is a flowchart of the acquisition of the airbridge node;

[0057] Figure 8 is a flowchart of the acquisition of the remote aircraft stand node;

[0058] Figure 9 is a flowchart of the acquisition of the de-icing truck operation node. Specific Embodiments

[0059] The present invention will be further described in detail below in conjunction with embodiments:

[0060] Embodiment

[0061] As Figures 1 to 5As shown in the figure, an intelligent acquisition system for airport operation nodes of the present invention includes an aircraft operation node acquisition unit, a water truck operation node acquisition unit, and a deicing truck operation node acquisition unit. The aircraft operation node acquisition unit is used to acquire aircraft operation nodes and upload the acquired aircraft operation nodes to the server. The water truck operation node acquisition unit is used to acquire the guarantee nodes of the water truck adding clean water to the aircraft and upload the acquired water truck operation nodes to the server. The deicing truck operation node acquisition unit is used to acquire the guarantee nodes of the deicing truck deicing the aircraft and upload the acquired deicing truck operation nodes to the server.

[0062] Considering that the flight volume of large-scale airports is relatively large, when an aircraft arrives at the airport, it not only docks beside the terminal building and docks with the jet bridge, but may also be arranged to dock at a remote stand and dock with the passenger ladder. The aircraft operation node acquisition unit of the present invention includes a jet bridge node acquisition unit and a remote stand node acquisition unit. Specifically, as Figure 1 shown, the jet bridge node acquisition unit includes a jet bridge node microprocessor MCU, a jet bridge distance sensor, and a jet bridge node 4G module. The jet bridge distance sensor and the jet bridge node 4G module are both connected to the jet bridge node microprocessor MCU through the transceiver module USART. Among them, the jet bridge distance sensor can be implemented by a laser sensor that collects distance signals once every second. In implementation, a laser sensor of model SKP40 can be used. The laser sensor is used to detect the distance between the laser sensor and the aircraft, and then send the detected distance information to the jet bridge node microprocessor MCU. The jet bridge node microprocessor MCU can then judge the various operation nodes of the aircraft according to the distance information, and then send the collected node information to the server through the jet bridge node 4G module for the air traffic control department to conduct airport operation management. When in use, the laser sensor can be installed on the back of the operation console on the jet bridge and face the docking interface between the jet bridge and the aircraft cabin door to facilitate collecting the distance data between the laser sensor and the aircraft; and the jet bridge node microprocessor MCU and the jet bridge node 4G module are set in the jet bridge node control box; the jet bridge node control box can be installed on the back of the operation console on the jet bridge and close to the position of the laser sensor to ensure smooth communication between the laser sensor and the jet bridge node microprocessor MCU.

[0063] The remote stand node acquisition unit includes a stand node acquisition unit and a passenger ladder node acquisition unit; the stand node acquisition unit includes a stand node microprocessor MCU, a stand distance sensor, and a stand node 4G module. The stand distance sensor and the stand node 4G module are respectively connected to the stand node microprocessor MCU through the transceiver module USART, as Figure 2As shown in the figure. The position distance sensor is used to collect the distance information between the sensor and the aircraft, and then send the collected distance information to the position node microprocessor MCU. The position node microprocessor MCU then judges the operation node of the aircraft according to the distance information collected by the position distance sensor, and sends the operation node of the aircraft to the server through the position node 4G module. During implementation, the position node microprocessor MCU and the position node 4G module can be set in the position node control box.

[0064] The position distance sensor of the present invention is implemented by using the same laser sensor as the apron bridge distance sensor. During use, the position distance sensor can be installed in front of the remote position and detect the distance between the sensor and the aircraft. The installation position of the position sensor is 15-22 m away from the position and 2-2.5 m above the ground. During implementation, the position distance sensor can be installed above the power distribution cabinet in front of the position or on the position sign. In this embodiment, the position distance sensor is installed above the power distribution cabinet in front of the position, and a bracket for placing the position distance sensor is provided above the power distribution cabinet. The position node control box is also installed on the bracket. The laser sensor detects the distance between the sensor and the aircraft by emitting pulsed laser to the aircraft and then returning it to the laser sensor. The laser beam emitted by the laser sensor is parallel to the ground. By setting the position height of the position distance sensor of the present invention to 2-2.5 m, it can be ensured that before the aircraft enters the position, the laser sensor cannot collect data, and the distance value output by the laser sensor is 0; after the aircraft enters the position, when the pulsed laser emitted by the laser sensor encounters the aircraft, it will be reflected back to the laser sensor. The laser sensor can calculate the distance between the sensor and the aircraft by receiving the reflected pulsed laser, and the position node microprocessor MCU can then judge the operation node of the aircraft according to the distance value.

[0065] An RFID reader / writer is also connected to the position node microprocessor MCU of the present invention. The RFID reader / writer is connected to the position node microprocessor MCU through a dual-serial-port Ethernet module, as Figure 3 shown. At the same time, an RFID reader / writer is also connected to the apron bridge node microprocessor MCU. The RFID reader / writer is connected to the apron bridge node microprocessor MCU through a dual-serial-port Ethernet module, as Figure 1As shown. Specifically, the RFID reader is connected to the dual-serial-port Ethernet module through an RJ45 interface, and the dual-serial-port Ethernet module is connected to the position node microprocessor MCU and / or the jet bridge node microprocessor MCU through the transceiver module USART. When in use, an RFID tag is installed on the wheel chock, and the flight support personnel wear RFID cards. The RFID reader is used to read information such as the tag number or card number within the signal radiation range, and then save the read information to the memory. Furthermore, the node support process can be judged according to the information read by the RFID reader. Specifically, for the wheel chock, when the wheel chock is in the parking area, the RFID reader recognizes a relatively large number of tags. When the wheel chock is blocking the front and rear wheels of the aircraft, the RFID reader recognizes a relatively small number of tags. The wheel chock on and off nodes are judged according to the number of recognized wheel chocks. For the cleaning staff, when the cleaning staff is not at the position, the position RFID reader cannot read the cleaning staff's card number. Before starting the cleaning, the RFID reader reads the cleaning staff's card number. When starting the cleaning, since the cleaning staff enters the aircraft and the signal is shielded, the RFID reader cannot read the card number. When the cleaning is completed, the RFID reader reads the cleaning staff's card number again. The cleaning support node time is judged according to the change of the cleaning staff's card number read by the reader. The opening and closing of the cargo hold door nodes are judged by the RFID reader reading the RFID card number of the cargo personnel. When the RFID reader reads the RFID card number of the cargo personnel, it means that the cargo personnel have arrived at the scene, and it can be judged that the support has started; when the RFID reader cannot read the RFID card number of the cargo personnel, it can be judged that the support has ended.

[0066] The passenger ladder node acquisition unit includes a passenger ladder node microprocessor MCU, a passenger ladder distance sensor, a passenger ladder node 4G module, and a passenger ladder positioning module. The passenger ladder distance sensor, the passenger ladder node 4G module, and the passenger ladder positioning module are respectively connected to the passenger ladder node microprocessor MCU through the transceiver module USART, as Figure 3As shown in the figure. The passenger elevator distance sensor is used to collect the distance information between the passenger elevator and the aircraft, and send the collected distance information to the passenger elevator node microprocessor MCU. The passenger elevator node microprocessor MCU then judges the operation node of the aircraft according to the distance information collected by the passenger elevator distance sensor, and sends the operation node of the aircraft to the server through the passenger elevator node 4G module. At the same time, the passenger elevator positioning module real-time collects the position information of the passenger elevator and sends the position information of the passenger elevator to the passenger elevator node microprocessor MCU. The passenger elevator node microprocessor MCU then uploads the position information of the passenger elevator to the server in real time. The passenger elevator positioning module includes a GNSS receiving module and an inertial sensor integrated into one structure. The inertial sensor is a 6-axis inertial sensor to ensure the accurate positioning of the passenger elevator. During implementation, the passenger elevator distance sensor, the passenger elevator node 4G module, the passenger elevator positioning module, and the passenger elevator node microprocessor MCU can all be set in the passenger elevator operation control box.

[0067] The passenger elevator distance sensor of the present invention is also implemented by using the same laser sensor as the apron bridge distance sensor. The laser sensor can be installed on the passenger elevator in real time and face the docking interface between the passenger elevator and the aircraft cabin door, that is, the passenger elevator operation control box is installed on the passenger elevator and faces the docking interface between the passenger elevator and the aircraft cabin door, so as to facilitate the detection of the distance between the passenger elevator and the aircraft, and at the same time, the position information of the passenger elevator can be collected in real time through the passenger elevator positioning module.

[0068] As Figure 4As shown in the figure, the collection unit of the water truck operation node includes a microprocessor MCU of the water truck operation node, a Hall sensor, a 4G module of the water truck operation node, and a positioning module of the water truck. The Hall sensor is connected to the microprocessor MCU of the water truck operation node through a GPIO interface. Both the 4G module of the water truck operation node and the positioning module of the water truck are connected to the microprocessor MCU of the water truck operation node through a transceiver module USART. The Hall sensor is used to detect the open or closed state of the de-icing vehicle operation box. When in use, a magnet block is set on the lid of the operation box, and the Hall sensor can be installed on the side of the lid of the operation box. The microprocessor MCU of the water truck operation node, the 4G module of the water truck operation node, and the positioning module of the water truck are set in the control box of the water truck. The control box of the water truck is installed next to the Hall sensor to ensure smooth communication between the microprocessor MCU of the water truck operation node and the Hall sensor. When the staff opens the lid, the Hall sensor is far from the magnet and outputs a low level. The microprocessor MCU of the water truck operation node then determines that the guarantee starts and uploads the start of adding clean water node to the server through the 4G module of the water truck operation node. When the staff closes the lid of the operation box, the Hall sensor is close to the magnet and outputs a high level. The microprocessor MCU of the water truck operation node then determines that the guarantee ends and uploads the completion of adding clean water node to the server through the 4G module of the water truck operation node. At the same time, the positioning module of the water truck collects the position information of the water truck in real time, and the microprocessor MCU of the water truck operation node uploads the position information of the water truck to the server in real time.

[0069] As Figure 5 As shown in the figure, the collection unit of the de-icing vehicle operation node includes a microprocessor MCU of the de-icing vehicle operation node, an ultrasonic sensor, a 4G module of the de-icing vehicle operation node, and a positioning module of the de-icing vehicle. The ultrasonic sensor, the 4G module of the de-icing vehicle operation node, and the positioning module of the de-icing vehicle are respectively connected to the microprocessor MCU of the de-icing vehicle operation node through a transceiver module USART. The ultrasonic sensor is used to detect the short distance to the lifting platform. When in use, the ultrasonic sensor, the microprocessor MCU of the de-icing vehicle operation node, and the microprocessor MCU of the de-icing vehicle operation node can be set in the control box of the de-icing vehicle. The control box of the de-icing vehicle is installed on the front bumper of the de-icing vehicle and behind the lifting platform. The ultrasonic sensor emits ultrasonic waves parallel to the ground, so as to detect the distance between the ultrasonic sensor and the lifting platform. The microprocessor MCU of the de-icing vehicle operation node can then judge the guarantee node of the de-icing vehicle according to the distance information between the ultrasonic sensor and the lifting platform, and upload the operation node of the de-icing vehicle to the server through the 4G module of the de-icing vehicle operation node. At the same time, the positioning module of the de-icing vehicle collects the position information of the de-icing vehicle in real time, and the microprocessor MCU of the de-icing vehicle operation node uploads the position information of the de-icing vehicle to the server in real time.

[0070] The positioning modules of the water truck and the de-icing truck in the present invention have the same structure as the positioning module of the passenger elevator, and the MCU of the concourse node, the MCU of the remote position node, the MCU of the passenger elevator node, the MCU of the water truck operation node, and the MCU of the de-icing truck operation node are all implemented using the STM32F407VET6 chip.

[0071] As Figures 6 to 9 shown, a collection method for an intelligent collection system of airport operation nodes in the present invention includes an aircraft operation node collection step, a water truck operation node collection step, and a de-icing truck operation node collection step; the aircraft operation node collection step is a concourse node collection step or a remote position node collection step. The water truck operation node collection step is as follows:

[0072] A1. Install the Hall sensor at the position of the water truck operation box and detect whether the operation box is opened: if so, the Hall sensor sends the information that the operation box is opened to the MCU of the water truck operation node, and the MCU of the water truck operation node determines that the water truck starts to add clean water to the aircraft and uploads the start clean water addition node to the server, as Figure 6 shown. Specifically, a magnet block is set on the lid of the water truck operation box, the Hall sensor can be installed on the side of the lid of the operation box, the MCU of the water truck operation node, the 4G module of the water truck operation node, and the positioning module of the water truck are set in the water truck control box, and the water truck control box is installed at a position next to the Hall sensor to ensure smooth communication between the MCU of the water truck operation node and the Hall sensor. When the staff opens the lid, the Hall sensor is far from the magnet, outputs a low level, and the MCU of the water truck operation node determines that the guarantee starts, that is, starts to add clean water to the aircraft, and uploads the start clean water addition node to the server through the 4G module of the water truck operation node.

[0073] A2. Detect whether the operation box is closed: If so, the Hall sensor sends the information that the operation box is closed to the MCU of the water truck operation node. The MCU of the water truck operation node then determines that the water truck has completed adding clean water to the aircraft and uploads the completed clean water addition node to the server. After completing the addition of clean water to the aircraft, the staff covers the lid of the operation box. The Hall sensor is next to the magnet. At this time, the Hall sensor outputs a high level. The MCU of the water truck operation node then determines that the guarantee is over, that is, the addition of clean water to the aircraft is completed, and uploads the completed clean water addition node to the server through the 4G module of the water truck operation node. At the same time, the water truck positioning module is also connected to the MCU of the water truck operation node. The water truck positioning module is also set in the control box of the water truck operation node. The water truck positioning module collects the position information of the water truck in real time and sends the position information of the water truck to the MCU of the water truck operation node. The MCU of the water truck operation node then uploads the position information of the water truck to the server in real time.

[0074] As Figure 7 shown, the steps for collecting the jet bridge node are as follows:

[0075] B1. Install the jet bridge distance sensor on the back of the operation console on the jet bridge and face the docking interface between the jet bridge and the aircraft cabin door so that the jet bridge distance sensor can detect the distance between the jet bridge distance sensor and the aircraft. The MCU of the jet bridge node and the 4G module of the jet bridge node can be set in the control box of the jet bridge node, and the control box of the jet bridge node is installed on the back of the operation console on the jet bridge and close to the position of the jet bridge distance sensor to ensure smooth communication between the jet bridge distance sensor and the MCU of the jet bridge node. Set the distance between the jet bridge distance sensor and the aircraft as S1. The jet bridge distance sensor measures data and outputs the S1 value by emitting pulsed laser light to the aircraft and then returning to the jet bridge distance sensor. Before the aircraft enters the parking position, the pulsed laser light emitted by the jet bridge distance sensor cannot be sent to the aircraft, so no data can be measured, and the distance value output by the jet bridge distance sensor is 0. When the aircraft enters the parking position, the pulsed laser light emitted by the jet bridge distance sensor will be reflected back to the jet bridge distance sensor when it encounters the aircraft. The jet bridge distance sensor can calculate the S1 value after receiving the reflected pulsed laser light, and the jet bridge distance sensor sends the detected S1 value to the MCU of the jet bridge node.

[0076] B2. The microprocessor MCU of the bridge node determines whether S1 changes from 0 to the aircraft parking position monitoring value and maintains the aircraft parking position monitoring value for at least 5 seconds: If so, it uploads the aircraft parking position node to the server. The aircraft parking position monitoring value is determined according to the aircraft type and the parking position. Considering the different aircraft types and parking position settings applicable to civil aviation airports in the present invention, the aircraft parking position monitoring value is set to be 4m to 12m. When S1 changes from 0 to the aircraft parking position monitoring value, it means that the aircraft is performing the parking action. The bridge distance in the present invention is realized by a laser sensor that collects distance signals once every 1 second. The laser sensor sends a distance value S1 to the microcontroller MCU of the bridge node once every 1 second. To maintain the aircraft parking position monitoring value for at least 5 seconds, it is required that the S1 values obtained by the laser sensor detecting the distance signal at least continuously 5 times are between 4m and 12m, then it can be judged as the aircraft parking position node, and the microcontroller MCU of the bridge node uploads the aircraft parking position node to the server through the 4G module of the bridge node.

[0077] B3. The microprocessor MCU of the bridge node determines whether S1 continuously decreases 3 times within the aircraft approaching the bridge proximity value and then maintains the aircraft approaching the bridge monitoring value for at least 5 seconds: If so, it uploads the aircraft approaching the bridge node to the server. The "continuously 3 times" in the step of determining whether S1 continuously decreases 3 times within the aircraft approaching the bridge proximity value refers to the laser sensor continuously detecting the distance signal 3 times, then three consecutive S1 values can be output, and it is determined whether the three consecutive S1 values continuously decrease within the aircraft approaching the bridge proximity value. The aircraft approaching the bridge proximity value in the present invention is set to be 1m to 4m, and the aircraft approaching the bridge monitoring value is set to be 0.9m to 1.7m.

[0078] B4. The microprocessor MCU of the bridge node determines whether S1 decreases by more than 0.2m within 1 second and then maintains the aircraft opening the cabin door monitoring value for at least 5 seconds: If so, it uploads the aircraft opening the cabin door node to the server. The present invention is set to decrease by more than 0.2m within 1 second to highlight the large decrease in the S1 value within a short time, and based on this, the actions and states of the aircraft are judged. The laser sensor can be a sensor that detects the distance signal once every 1 second. At this time, the time between two adjacent distance signals detected by the laser sensor is exactly 1 second; if the laser sensor is a sensor that detects the distance signal multiple times per second, at this time, it is judged whether S1 decreases by more than 0.2m within 1 second; if the laser sensor is a sensor that detects the distance signal more than once per second, at this time, the shortest time for the distance value S1 to change is the interval time between two adjacent detected distance signals, and at this time, it is judged whether S1 decreases by more than 0.2m within the interval time between two adjacent detected distance signals. The aircraft opening the cabin door monitoring value in the present invention is set to be 0.4m to 1.3m.

[0079] The microprocessor MCU of the apron bridge node determines whether S1 increases by more than 0.2 m within 1 second and then maintains the aircraft cabin door closing monitoring value for at least 5 seconds: If so, upload the aircraft cabin door closing node to the server. The 1-second time in the step of determining whether S1 increases by more than 0.2 m within 1 second can be determined according to the frequency of the distance signal detected by the laser sensor used, as described in step B4, and the aircraft cabin door closing monitoring value is set to 1.2 m to 1.7 m.

[0080] B6. The microprocessor MCU of the apron bridge node determines whether S1 increases continuously for 3 times and then maintains the aircraft off-bridge monitoring value for at least 5 seconds: If so, upload the aircraft off-bridge node to the server. The continuous 3 times in the step of determining whether S1 increases continuously for 3 times are like the laser sensor continuously detecting the distance signal 3 times as described in step B3, then three consecutive S1 values can be output, and it is determined whether the three consecutive S1 values increase continuously within the aircraft off-bridge monitoring value. The aircraft off-bridge monitoring value is also set to 4 m to 12 m.

[0081] B7. The microprocessor MCU of the apron bridge node determines whether S1 changes from the aircraft push-out monitoring value to 0 and remains 0 for at least 5 seconds: If so, upload the aircraft push-out node to the server. The aircraft push-out monitoring value is set to 4 m to 12 m. After the aircraft is pushed out, the laser sensor cannot measure the distance data between the laser sensor and the aircraft, and the distance value S1 output by the laser sensor is 0.

[0082] As Figure 8 shown, the acquisition steps of the remote stand node are as follows:

[0083] C1. Install the aircraft position distance sensor in front of the remote aircraft position and detect the distance from the aircraft. The installation position of the aircraft position sensor is 15 - 22 m away from the aircraft position and 2 - 2.5 m above the ground. During implementation, the aircraft position distance sensor can be installed above the power distribution cabinet in front of the aircraft position or on the aircraft position sign. In this embodiment, the aircraft position distance sensor is installed above the power distribution cabinet in front of the aircraft position, and there is a bracket for placing the aircraft position distance sensor above the power distribution cabinet. The aircraft position node microprocessor MCU and the aircraft position node 4G module of the present invention are both set in the aircraft position node control box. During implementation, the aircraft position node control box is also set on the bracket to ensure smooth communication between the aircraft position distance sensor and the aircraft position node microprocessor MCU. Set the distance between the aircraft position distance sensor and the aircraft. The distance is S2, and the aircraft position distance sensor sends the detected S2 value to the aircraft position node microprocessor MCU. Specifically, the aircraft position distance sensor of the present invention is also implemented by a laser sensor that collects distance signals once every second. The laser sensor measures data and outputs S2 by emitting pulsed laser light to the aircraft and then returning it to the laser sensor. The position height of the aircraft position distance sensor of the present invention is set to 2 - 2.5 m, and the laser beam emitted by the laser sensor is parallel to the ground. In this case of the installation position height, it can be ensured that before the aircraft enters the aircraft position, the laser sensor cannot collect data, and the distance value output by the laser sensor is 0; after the aircraft enters the aircraft position, when the pulsed laser light emitted by the laser sensor encounters the aircraft, it will be reflected back to the laser sensor, and the laser sensor can calculate S2 after receiving the reflected pulsed laser light.

[0084] At the same time, install the passenger ladder distance sensor on the passenger ladder and face the interface between the passenger ladder and the aircraft cabin door and detect the distance from the aircraft. The passenger ladder distance sensor, the passenger ladder node 4G module, the passenger ladder positioning module, and the passenger ladder node microprocessor MCU of the present invention are all set in the passenger ladder operation control box. During implementation, the passenger ladder operation control box is installed on the passenger ladder and faces the interface between the passenger ladder and the aircraft cabin door. Set the distance between the passenger ladder distance sensor and the aircraft as S3, and the passenger ladder distance sensor sends the detected S3 value to the passenger ladder node microprocessor MCU. The passenger ladder distance sensor of the present invention is also implemented by a laser sensor that collects distance signals once every second.

[0085] C2. The MCU of the aircraft position node determines whether S2 changes from 0 to the aircraft parking position monitoring value, and then maintains the aircraft parking position monitoring value for at least 5 seconds: If so, it uploads the remote aircraft parking position node to the server. The aircraft parking position monitoring value is determined according to the aircraft type and the parking position. Considering the different aircraft types and parking position settings applicable to civil aviation airports, the present invention sets the aircraft parking position monitoring value to 15m - 40m. When S2 changes from 0 to the aircraft parking position monitoring value, it means that the aircraft is performing the parking action. The laser sensor used by the position distance sensor of the present invention detects the distance signal at a frequency of once per second, and the laser sensor sends the distance value S2 to the position node microcontroller MCU once per second. To maintain the aircraft parking position monitoring value for at least 5 seconds, it is required that the S2 values obtained by the laser sensor detecting the distance signal at least continuously 5 times are between 15m - 40m, then it can be determined as the aircraft parking position node, and the position node microcontroller MCU uploads the aircraft parking position node to the server through the position node 4G module.

[0086] C3. The MCU of the passenger boarding bridge node determines whether S3 decreases continuously 3 times within the passenger boarding bridge docking node proximity value, and then maintains the passenger boarding bridge docking node monitoring value for at least 5 seconds: If so, it uploads the passenger boarding bridge docking node to the server. Similarly, the passenger boarding bridge docking node proximity value is also determined according to the aircraft type and the parking position. Considering the different aircraft types and parking position settings applicable to civil aviation airports, the present invention sets the passenger boarding bridge docking node proximity value to 1m - 4m, and the passenger boarding bridge docking node monitoring value to 0.9m - 1.7m. The passenger boarding bridge distance sensor of the present invention collects the distance signal at a frequency of once per second, and the passenger boarding bridge distance sensor sends the distance value S3 to the passenger boarding bridge node microcontroller MCU once per second. The "continuously 3 times" in the step of determining whether S3 decreases continuously 3 times within the passenger boarding bridge docking node proximity value refers to the passenger boarding bridge distance sensor collecting the distance signal continuously 3 times, then three consecutive S3 values can be output, and it is determined whether the three consecutive S3 values decrease continuously within the passenger boarding bridge docking node proximity value. To maintain the passenger boarding bridge docking node monitoring value for at least 5 seconds, it is required that the S3 values obtained by the passenger boarding bridge distance sensor collecting the distance signal at least continuously 5 times are between 0.9m - 1.7m, then it can be determined as the passenger boarding bridge docking node, and the passenger boarding bridge node microcontroller MCU uploads the passenger boarding bridge docking node to the server through the passenger boarding bridge node 4G module.

[0087] C4. The MCU of the passenger elevator node judges whether S3 decreases by more than 0.2 m within 1 second, and then keeps the monitoring value of the aircraft opening the cabin door for at least 5 seconds: if so, upload the aircraft opening the cabin door node to the server. In the present invention, setting it to decrease by more than 0.2 m within 1 second is to highlight the large decrease of the S3 value within a short time, and based on this, the actions and states of the aircraft are judged. The passenger elevator distance sensor is a sensor that collects distance signals once every 1 second. The time between two adjacent distance signals collected by this passenger elevator distance sensor is exactly 1 second; if the passenger elevator distance sensor is a sensor that collects distance signals multiple times per second, then judge whether S3 decreases by more than 0.2 m within 1 second; if the passenger elevator distance sensor is a sensor that collects distance signals more than once per second, the shortest time for the distance value S3 to change is the interval time between two adjacent distance signals collected, and then judge whether S3 decreases by more than 0.2 m within the interval time between two adjacent distance signals collected. The monitoring value of the aircraft opening the cabin door in the present invention is set to 0.4 m to 1.3 m.

[0088] C5. The MCU of the passenger elevator node judges whether S3 increases by more than 0.2 m within 1 second, and then keeps the monitoring value of the aircraft closing the cabin door for at least 5 seconds: if so, upload the aircraft closing the cabin door node to the server. The 1 second in the step of judging whether S3 increases by more than 0.2 m within 1 second can be determined according to the frequency of the passenger elevator distance sensor collecting distance signals. As described in step C4, the monitoring value of the aircraft closing the cabin door is set to 1.2 m to 1.7 m.

[0089] C6. The MCU of the passenger elevator node judges whether S3 increases continuously three times: if so, upload the passenger elevator evacuation node to the server. The continuous three times in the step of judging whether S3 increases continuously three times are like the passenger elevator distance sensor continuously collecting distance signals three times as described in step C. Then three consecutive S3 values can be output, and then judge whether the three consecutive S3 values increase continuously.

[0090] C7. The MCU of the aircraft stand node judges whether S2 continuously increases, and then becomes 0 and remains 0 for at least 5 seconds: if so, upload the remote aircraft stand aircraft push-out node to the server. During the aircraft push-out process, the S2 value continuously increases. After the aircraft is pushed out, the aircraft stand distance sensor cannot measure the distance data between it and the aircraft, and the distance value S2 output by the aircraft stand distance sensor is 0, so the action of the aircraft being pushed out can be judged.

[0091] The passenger elevator positioning module of the present invention can collect the position information of the passenger elevator in real time and send the position information of the passenger elevator to the passenger elevator node microcontroller MCU in real time. The passenger elevator node microcontroller MCU receives the passenger elevator position information and uploads it to the server in real time. By combining ACARS information, field monitoring radar or ADS-B information, the passenger elevator node information can be matched with the corresponding flight, so that the time of each node of the passenger elevator received by the server can be used as the time of the guarantee node and displayed in the control system. To ensure accurate positioning of the passenger elevator, the positioning module includes a GNSS receiving module and an inertial sensor integrated into one structure, and the inertial sensor can be implemented by a 6-axis inertial sensor.

[0092] As Figure 9 shown, the steps for collecting the de-icing vehicle operation node are as follows:

[0093] D1. Install the ultrasonic sensor on the front bumper of the de-icing vehicle and detect the distance between the ultrasonic sensor and the lift table of the de-icing vehicle located in front of the front bumper. In real time, the de-icing vehicle operation node microprocessor MCU, the ultrasonic sensor, and the de-icing vehicle operation node 4G module can be set in the de-icing vehicle operation node control box. Set the distance between the ultrasonic sensor and the lift table as S4, and the ultrasonic sensor sends the detected S4 value to the de-icing vehicle operation node microprocessor MCU. The ultrasonic sensor emits ultrasonic waves parallel to the ground. When the de-icing vehicle starts to operate, the lift table rises, and when the operation ends, the lift table falls. Before the lift table of the de-icing vehicle rises, the ultrasonic waves emitted by the ultrasonic sensor can hit the lift table. During the rising process of the lift table and within a certain lifting range, the ultrasonic waves emitted by the ultrasonic sensor can still hit the lift table. After the lift table rises beyond a certain range, the ultrasonic waves emitted by the ultrasonic sensor cannot hit the lift table and the distance to the lift table cannot be detected.

[0094] D2. The de-icing vehicle operation node microprocessor MCU determines whether S4 is greater than 1m for 5 consecutive seconds: If so, it is determined that the de-icing vehicle starts to de-ice the aircraft, and the start de-icing node is uploaded to the server. The frequency of the ultrasonic sensor detecting the distance signal is once per second. The ultrasonic sensor sends the distance value S4 to the microcontroller MCU once per second. To determine whether S4 is greater than 1m for 5 consecutive seconds, it is required that at least 5 consecutive S4 values detected by the ultrasonic sensor are greater than 1m, then it can be determined that the de-icing vehicle starts the guarantee node, and the de-icing vehicle operation node microprocessor MCU uploads the start de-icing node to the server through the de-icing vehicle operation node 4G module.

[0095] D3. The de-icing vehicle operation node microprocessor MCU determines whether S4 is less than 1m for 5 consecutive seconds: If so, it is determined that the de-icing vehicle has completed de-icing the aircraft, and the completed de-icing node is uploaded to the server.

[0096] An ice removal vehicle positioning module is also connected to the microprocessor MCU of the ice removal vehicle operation node, and the ice removal vehicle positioning module is also arranged in the control box of the ice removal vehicle operation node. The ice removal vehicle collects the position information of the ice removal vehicle in real time and sends the position information of the ice removal vehicle to the microprocessor MCU of the ice removal vehicle operation node, and the microprocessor MCU of the ice removal vehicle operation node uploads the position information of the ice removal vehicle to the server in real time. The structures of the ice removal vehicle positioning module and the clear water vehicle positioning module of the present invention are the same as the structure of the passenger elevator positioning module.

[0097] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent collection method for airport operation nodes, characterized in that: It includes an aircraft operation node collection unit, a water cleaning vehicle operation node collection unit and a de-icing vehicle operation node collection unit. The aircraft operation node collection unit includes a corridor node collection unit and a remote aircraft stand node collection unit. The corridor bridge node acquisition unit includes a corridor bridge node microprocessor MCU, a corridor bridge distance sensor and a corridor bridge node 4G module, and the corridor bridge distance sensor and the corridor bridge node 4G module are both connected to the corridor bridge node microprocessor MCU; the clean water vehicle operation node acquisition unit includes a clean water vehicle operation node microprocessor MCU, a Hall sensor and a clean water vehicle operation node 4G module, and the Hall sensor and the clean water vehicle operation node 4G module are respectively connected to the clean water vehicle operation node microprocessor MCU; the de-icing vehicle operation node acquisition unit includes a de-icing vehicle operation node microprocessor MCU, an ultrasonic sensor and a de-icing vehicle operation node 4G module, and the ultrasonic sensor and the de-icing vehicle operation node 4G module are respectively connected to the de-icing vehicle operation node microprocessor MCU; The remote aircraft stand node acquisition unit includes an aircraft stand node acquisition unit and a passenger elevator node acquisition unit; the aircraft stand node acquisition unit includes an aircraft stand node microprocessor MCU, an aircraft stand distance sensor and an aircraft stand node 4G module, and the aircraft stand distance sensor and the aircraft stand node 4G module are both connected to the aircraft stand node microprocessor MCU; the passenger elevator node acquisition unit includes a passenger elevator node microprocessor MCU, a passenger elevator distance sensor and a passenger elevator node 4G module, and the passenger elevator distance sensor and the passenger elevator node 4G module are respectively connected to the passenger elevator node microprocessor MCU; it includes an aircraft operation node acquisition step, a water cleaning vehicle operation node acquisition step and a de-icing vehicle operation node acquisition step; the aircraft operation node acquisition step is a corridor bridge node acquisition step or a remote aircraft stand node acquisition step; the water cleaning vehicle operation node acquisition step is as follows: A1. Install the Hall sensor at the position of the water cleaning vehicle operation box and detect whether the operation box is open: if so, the Hall sensor sends the information that the operation box is open to the water cleaning vehicle operation node microprocessor MCU, and the water cleaning vehicle operation node microprocessor MCU determines that the water cleaning vehicle starts to add water to the aircraft, and uploads the start of adding water node to the server; A2. Check whether the operation box is closed: If so, the Hall sensor sends the information that the operation box is closed to the microprocessor MCU of the water cleaning vehicle operation node. The microprocessor MCU of the water cleaning vehicle operation node determines that the water cleaning vehicle has completed adding water to the aircraft, and uploads the completion of adding water to the server; The steps for collecting corridor bridge nodes are as follows: B1. Install the bridge distance sensor on the back of the operating console on the bridge and facing the docking interface between the bridge and the aircraft door, and detect the distance between the bridge distance sensor and the aircraft; set the distance between the bridge distance sensor and the aircraft as S1, and the bridge distance sensor sends the detected S1 value to the bridge node microprocessor MCU; the bridge distance sensor uses a laser sensor; B2. The microprocessor MCU of the corridor bridge node determines whether S1 changes from 0 to the aircraft entry monitoring value and maintains the aircraft entry monitoring value for at least 5 seconds: if so, upload the aircraft entry node to the server; B3. The microprocessor MCU of the bridge node determines whether S1 decreases three times in succession within the aircraft approaching bridge value, and then maintains the aircraft approaching bridge monitoring value for at least 5 seconds: if so, the aircraft approaching bridge node is uploaded to the server; B4. The microprocessor MCU of the corridor bridge node determines whether S1 decreases by more than 0.2m within 1 second, and then maintains the aircraft cabin door opening monitoring value for at least 5 seconds: if so, upload the aircraft cabin door opening node to the server; B5. The microprocessor MCU of the corridor bridge node determines whether S1 increases by more than 0.2m within 1 second, and then maintains the aircraft cabin door closing monitoring value for at least 5 seconds: if so, upload the aircraft cabin door closing node to the server; B6. The microprocessor MCU of the bridge node determines whether S1 increases three times in a row, and then maintains the aircraft departure monitoring value for at least 5 seconds: if so, upload the aircraft departure node to the server; B7. The microprocessor MCU of the corridor bridge node determines whether S1 changes from the aircraft pushback monitoring value to 0 and remains 0 for at least 5 seconds: if so, upload the aircraft pushback node to the server; Among them, the monitoring value for aircraft entering into position is 4m~12m; the value for aircraft approaching the bridge is 1m~4m, and the monitoring value for aircraft approaching the bridge is 0.9m~1.7m; the monitoring value for aircraft opening the cabin door is 0.4m~1.3m; the monitoring value for aircraft closing the cabin door is 1.2m~1.7m; the monitoring value for aircraft leaving the bridge and the monitoring value for aircraft pushout are both 4m~12m.

2. The method for intelligent collection of airport operation nodes according to claim 1 is characterized in that: The clean water truck operation node acquisition unit also includes a clean water truck positioning module connected to the clean water truck operation node microprocessor MCU, the de-icing truck operation node acquisition unit also includes a de-icing truck operation node positioning module connected to the de-icing truck operation node microprocessor MCU, and the passenger elevator node acquisition unit also includes a passenger elevator positioning module connected to the passenger elevator node microprocessor MCU; the clean water truck positioning module has the same structure as the de-icing truck operation node positioning module and the passenger elevator positioning module, and all include a GNSS receiving module and an inertial sensor, and the GNSS receiving module and the inertial sensor are integrated into an integral structure.

3. The method for intelligent collection of airport operation nodes according to claim 1 is characterized in that: The corridor bridge node microprocessor MCU and the machine position node microprocessor MCU are respectively connected to RFID readers.

4. The method for intelligent collection of airport operation nodes according to any one of claims 1 to 3, characterized in that: The corridor bridge distance sensor, aircraft position distance sensor and passenger elevator distance sensor all use laser sensors, and the corridor bridge node microprocessor MCU, aircraft position node microprocessor MCU, passenger elevator node microprocessor MCU, water cleaning vehicle operation node microprocessor MCU and de-icing vehicle operation node microprocessor MCU all use STM32F407VET6 chip.

5. The method for intelligent collection of airport operation nodes according to claim 1 is characterized in that: The steps for collecting remote node data are as follows: C1. Install the aircraft stand distance sensor in front of the remote aircraft stand and detect the distance between the aircraft and the stand. The installation position of the aircraft stand sensor is 15 to 22 meters away from the aircraft stand and 2 to 2.5 meters above the ground. Install the passenger elevator distance sensor on the passenger elevator and face the interface between the passenger elevator and the aircraft door to detect the distance between the aircraft and the stand. Set the distance between the aircraft stand distance sensor and the aircraft to S2, and the aircraft stand distance sensor sends the detected S2 value to the aircraft stand node microprocessor MCU. Set the distance between the passenger elevator distance sensor and the aircraft to S3, and the passenger elevator distance sensor sends the detected S3 value to the passenger elevator node microprocessor MCU. C2. The microprocessor MCU of the stand node determines whether S2 changes from 0 to the aircraft in-position monitoring value, and then maintains the aircraft in-position monitoring value for at least 5 seconds: if so, upload the remote stand aircraft in-position node to the server; C3. The passenger elevator node microprocessor MCU determines whether S3 decreases three times in succession within the passenger elevator docking node proximity value, and then maintains the passenger elevator docking node monitoring value for at least 5 seconds: if so, upload the passenger elevator docking node to the server; C4. The microprocessor MCU of the passenger elevator node determines whether S3 decreases by more than 0.2m within 1 second, and then maintains the aircraft cabin door opening monitoring value for at least 5 seconds: if so, upload the aircraft cabin door opening node to the server; C5. The microprocessor MCU of the passenger elevator node determines whether S3 increases by more than 0.2m within 1 second, and then maintains the aircraft cabin door closing monitoring value for at least 5 seconds: if so, upload the aircraft cabin door closing node to the server; C6. The passenger elevator node microprocessor MCU determines whether S3 increases three times in a row: if so, it uploads the passenger elevator evacuation node to the server; C7. The microprocessor MCU of the stand node determines whether S2 continues to increase, then changes to 0 and remains at 0 for at least 5 seconds: if so, the remote stand aircraft pushes out the node to the server; Among them, the monitoring value for aircraft entry is 15m~40m, the value near the passenger elevator docking node is 1m~4m, and the monitoring value of the passenger elevator docking node is 0.9m~1.7m; the monitoring value for aircraft cabin door opening is 0.4m~1.3m; the monitoring value for aircraft cabin door closing is 1.2m~1.7m.

6. The method for intelligent collection of airport operation nodes according to any one of claims 1 or 5, characterized in that: The steps for collecting de-icing vehicle operation nodes are as follows: D1. Install the ultrasonic sensor on the front bumper of the deicing vehicle and detect the distance between the ultrasonic sensor and the lifting platform of the deicing vehicle located in front of the front bumper. Set the distance between the ultrasonic sensor and the lifting platform to S4. The ultrasonic sensor sends the detected S4 value to the microprocessor MCU of the deicing vehicle operation node. D2. The de-icing vehicle operation node microprocessor MCU determines whether S4 is greater than 1m for 5 consecutive seconds: If so, it determines that the de-icing vehicle starts to de-ice the aircraft, and uploads the de-icing start node to the server; D3. The de-icing vehicle operation node microprocessor MCU determines whether S4 is less than 1m for 5 consecutive seconds: if so, it is determined that the de-icing vehicle has completed de-icing the aircraft and uploads the de-icing completion node to the server.

7. The method for intelligent collection of airport operation nodes according to claim 6 is characterized in that: The clean water truck operation node microprocessor MCU is also connected to a clean water truck positioning module, which collects the location information of the clean water truck in real time and sends the location information of the clean water truck to the clean water truck operation node microprocessor MCU, and the clean water truck operation node microprocessor MCU uploads the location information of the clean water truck to the server in real time; The de-icing vehicle operation node microprocessor MCU is also connected to a de-icing vehicle positioning module, which collects the location information of the de-icing vehicle in real time and sends the location information of the de-icing vehicle to the de-icing vehicle operation node microprocessor MCU, and the de-icing vehicle operation node microprocessor MCU uploads the location information of the de-icing vehicle to the server in real time; The passenger elevator node microprocessor MCU is also connected to a passenger elevator positioning module, which collects the position information of the de-icing vehicle in real time and sends the position information of the passenger elevator to the passenger elevator node microprocessor MCU, and the passenger elevator node microprocessor MCU uploads the position information of the de-icing vehicle to the server in real time.

8. The method for intelligent collection of airport operation nodes according to claim 7 is characterized in that: The corridor bridge node microprocessor MCU and the corridor bridge node 4G module are set in the corridor bridge node control box, the clean water truck operation node microprocessor MCU, the clean water truck positioning module and the clean water truck operation node 4G module are set in the clean water truck node control box, the de-icing truck operation node microprocessor MCU, the de-icing truck positioning module, the ultrasonic sensor and the de-icing truck operation node 4G module are set in the de-icing truck node control box, the aircraft position node microprocessor MCU and the aircraft position node 4G module are set in the aircraft position node control box, and the passenger elevator node microprocessor MCU, the passenger elevator positioning module and the passenger elevator node 4G module are set in the passenger elevator node control box.

Images