CN117575317A - Airport flight area road surface condition assessment system based on big data analysis - Google Patents
Airport flight area road surface condition assessment system based on big data analysis Download PDFInfo
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Abstract
An airport flight area road surface condition assessment system based on big data analysis. The system comprises a mobile terminal module, a manual data acquisition module, at least one fixed terminal module, a GPRS wireless communication module and a monitoring management early warning system; the mobile terminal module, the manual data acquisition module and the fixed terminal module are connected with the monitoring management early warning system through the GPRS wireless communication module. According to the invention, the evaluation method combining subjective and objective is adopted, so that the evaluation efficiency and accuracy are improved. Because the early warning function is adopted, the abnormal monitoring result is sent to the staff, and the abnormal information is judged based on the intelligent method, so that the technical effects of improving the objectivity of the judging result and the working efficiency are achieved. In the aspect of data management, the data of the airport pollution runway can be managed and processed, including data acquisition, storage, cleaning, processing, analysis and the like; in the aspect of early warning management, alarm information is automatically generated according to the condition of the polluted airport runway so as to remind airport management personnel to take corresponding measures.
Description
Technical Field
The invention belongs to the technical field of civil aviation application, and particularly relates to an airport flight area road surface condition evaluation system based on big data analysis.
Background
Ice and snow weather conditions are the main factors affecting airport winter operation safety and causing flight delays. The surface condition of the airfield runway is worsened due to snow accumulation, water accumulation, ice formation and the like of the airfield runway, and the tires of the airfield runway cannot be effectively contacted with the runway surface, so that the direction control and braking performance of the airfield runway are worsened, the take-off and landing distance of the airfield runway is prolonged, the stability of the sliding process is reduced, the airfield runway is even caused, and the airfield runway is even casualties, so that the airfield runway safety accident is caused. To ensure aircraft landing safety, ICAO requires that airport runway surface conditions be assessed and reported in accordance with the unified "global airport runway surface condition reporting format" (Global Reporting Format, GRF) from day 11, 2021. According to a new airport runway assessment mode, for an airport runway polluted by an ice and snow cover, an airport operator should assess the airworthiness of the airport runway according to the surface conditions of the airport runway such as the type, coverage area, depth, temperature and the like of the surface pollutants of the airport runway, determine the condition codes of the airport runway and provide the codes for control and aviation information service departments. For dry airfield runways, only the airfield runway friction coefficient is used for daily monitoring of the surface condition of the dry airfield runway and maintenance of the runway surface, and is no longer used as an identification standard of the airworthiness of the airfield runway. This is a major revolution in airport runway airworthiness assessment and reporting, placing higher demands on the level of management of the airport and the business capabilities of staffs.
The current polluted airfield runway surface condition assessment and notification work mainly depends on manual inspection, the efficiency is low, the manual assessment mode is easily influenced by subjective factors of assessment staff, a large error exists, the airfield runway management based on the large error is difficult to accurately measure the landing risk of the aircraft, a comprehensive airfield runway surface condition assessment and early warning management system cannot be formed, airport operation commanders and air traffic managers cannot guarantee the landing safety of the aircraft in rainy and snowy weather, and then the airfield flow under severe weather conditions is influenced even aircraft safety accidents are caused.
In view of this, on the basis of realizing global perception of road surface contaminant-related parameters by an automated technical means, it is of great importance to develop an airport-contaminated airfield runway surface condition assessment system on the current assessment guidelines of the global unified format airfield Runway Condition Report (RCR) in combination with road surface state data.
Disclosure of Invention
In order to solve the problems, the invention aims to provide an airport flight area road surface condition assessment system based on big data analysis.
In order to achieve the aim, the airport flight area road surface condition assessment system based on big data analysis provided by the invention comprises a mobile terminal module, a manual data acquisition module, at least one fixed terminal module, a GPRS wireless communication module and a monitoring management early warning system; the mobile terminal module, the manual data acquisition module and the fixed terminal module are connected with the monitoring management early warning system through the GPRS wireless communication module.
The mobile terminal module is arranged on a patrol vehicle of an airport and comprises an airport runway information acquisition unit, an image acquisition unit, a GPS positioning unit and a mobile terminal processor; the airport runway information acquisition unit is a comprehensive information acquisition unit integrating a pavement temperature sensor, an air temperature sensor, a humidity sensor and an optical spectrometer; the image acquisition unit adopts an image acquisition sensor; the GPS positioning unit adopts a GPS positioning module; the mobile terminal processor adopts an embedded computer, is respectively and electrically connected with the airport runway information acquisition unit, the image acquisition unit and the GPS positioning unit, and is simultaneously and wirelessly connected with the monitoring management early warning system through the GPRS wireless communication module.
The fixed terminal modules are arranged at the edges of the airport runways, have the same structure as the mobile terminal modules, and are arranged at intervals when a plurality of fixed terminal modules are adopted.
The manual data acquisition module is a mobile communication terminal.
The monitoring management early warning system comprises a monitoring management early warning server, a monitor, an airport runway surface assessment module and an airport surface condition early warning module; the airport runway surface assessment module comprises an image identification unit and an airport runway surface assessment unit; the monitoring management early warning server is respectively and electrically connected with the image recognition unit, the monitor and the airport surface condition early warning module, and the image recognition unit is simultaneously and electrically connected with the airport runway surface evaluation unit; the monitor is a display.
The mobile terminal module is arranged at the top of the tail end of the inspection vehicle.
The airport flight area road surface condition assessment system based on big data analysis provided by the invention has the following beneficial effects: firstly, the evaluation method combining subjective and objective is adopted to improve the evaluation efficiency and accuracy. Because the early warning function is adopted, the abnormal monitoring result is sent to the staff, and the abnormal information is judged based on the intelligent method, so that the technical effects of improving the objectivity of the judging result and the working efficiency are achieved. In the aspect of data management, the data of the airport pollution runway can be managed and processed, including data acquisition, storage, cleaning, processing, analysis and the like; in the aspect of early warning management, alarm information is automatically generated according to the condition of a polluted airport runway so as to remind airport management personnel to take corresponding measures.
Drawings
FIG. 1 is a diagram of an airport flight area road surface condition assessment system based on big data analysis.
Fig. 2 is a schematic diagram of an airport runway segment used in the airport flight area condition assessment system based on big data analysis provided by the invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples.
As shown in fig. 1, the airport flight area road surface condition assessment system based on big data analysis provided by the invention comprises a mobile terminal module 11, a manual data acquisition module 12, at least one fixed terminal module 13, a GPRS wireless communication module 5 and a monitoring management early warning system 14; the mobile terminal module 11, the manual data acquisition module 12 and the fixed terminal module 13 are connected with the monitoring management early warning system 14 through the GPRS wireless communication module 5.
The mobile terminal module 11 is arranged on an inspection vehicle of an airport and comprises an airport runway information acquisition unit 1, an image acquisition unit 2, a GPS positioning unit 3 and a mobile terminal processor 4; the airport runway information acquisition unit 1 is a comprehensive information acquisition unit integrating a pavement temperature sensor, an air temperature sensor, a humidity sensor and an optical spectrometer; the image acquisition unit 2 adopts an image acquisition sensor; the GPS positioning unit 3 adopts a GPS positioning module and is used for positioning and tracking the position of the running patrol vehicle in real time; the mobile terminal processor 4 is electrically connected with the airport runway information acquisition unit 1, the image acquisition unit 2 and the GPS positioning unit 3 respectively by adopting an embedded computer, is simultaneously in wireless connection with the monitoring management early warning system 14 by the GPRS wireless communication module 5, and is used for receiving instructions of the monitoring management early warning system 14, and transmitting the field image of the airport runway pollutant coverage condition acquired by the image acquisition unit 2, the positioning data acquired by the GPS positioning unit 3 and the polluted airport runway data acquired by the airport runway information acquisition unit 1 into a wireless network by the GPRS wireless communication module 5 so as to further prepare for being received by related equipment in the monitoring management early warning system 14.
The fixed terminal modules 13 are installed at the edges of the airport runway, have the same structure as the mobile terminal modules 11, and are arranged at intervals when a plurality of fixed terminal modules 13 are adopted for assisting the mobile terminal modules 11 in collecting information of the polluted airport runway.
The manual data acquisition module 12 is a mobile communication terminal, and is used for airport staff to fill in subjective evaluation information, performance calculation, situational awareness and supplementary information of the polluted airport runway, and then the subjective evaluation information, the performance calculation, situational awareness and the supplementary information are uploaded to the monitoring management early warning system 14 in a manual evaluation reporting mode and stored in a memory.
The monitoring management early warning system 14 comprises a monitoring management early warning server 6, a monitor 9, an airport runway surface assessment module 15 and an airport surface condition early warning module 10; the airport runway surface assessment module 15 includes an image recognition unit 7 and an airport runway surface assessment unit 8; the monitoring management early warning server 6 is respectively and electrically connected with the image recognition unit 7, the monitor 9 and the airport surface condition early warning module 10, and the image recognition unit 7 is simultaneously and electrically connected with the airport runway surface evaluation unit 8; the monitoring management early warning server 6 is used for monitoring the position information of the patrol vehicle which is in a working state and is provided with the mobile terminal module 11, displaying the patrol vehicle on an airport area map corresponding to the monitor 9 in real time, positioning, tracking and monitoring the patrol vehicle, storing the received polluted airport runway image and the polluted airport runway data in the memory, and providing a data source for the airport runway surface condition evaluation by the airport runway surface evaluation module 15; the monitor 9 is a display for displaying the real-time position of the patrol vehicle and the related data information on the map of the airport area being patrol; the image recognition unit 7 further processes the field image of the airport runway pollutant coverage condition and the polluted airport runway data stored in the memory of the monitoring management early warning server 6 under the control of the monitoring management early warning server 6; the airport runway surface assessment unit 8 analyzes the image binarized data by utilizing the image processing result output by the image recognition unit 7, calculates the percentage of pollutants in the whole area of the airport runway, obtains the coverage rate of the airport runway pollutants based on the polluted airport runway surface condition data collected by the mobile terminal module 11, the fixed terminal module 13 and the manual data collection module 12 together, and finally assesses the airport runway surface condition according to the airport runway condition assessment standard given by the airport runway condition assessment matrix; the airport surface condition early warning module 10 obtains a preset standard data value of the surface condition of the airport runway according to the number of the airport runway, and simultaneously obtains a real-time data value of the surface condition of the airport runway through the monitoring management early warning server 6, then evaluates according to the standard data value and the real-time data value to obtain an abnormal monitoring result, and sends the abnormal monitoring result to airport management personnel so as to remind the airport management personnel to take corresponding measures in time.
The mobile terminal module 11 is arranged at the top part of the tail end of the inspection vehicle so that the image acquisition unit 2 and the airport runway information acquisition unit 1 acquire data.
The working principle of the airport flight area road surface condition assessment system based on big data analysis provided by the invention is explained as follows:
in rainy and snowy weather, the inspection vehicle provided with the mobile terminal module 11 enters the airport runway to be detected to collect the surface information of the airport runway. Under the control of the monitoring management early warning system 14, the GPS positioning unit 3 uploads the position information of the patrol vehicle to the monitoring management early warning system 11 through the mobile terminal processor 4 and the GPRS wireless communication module 5, and the monitoring management early warning system 11 recognizes the position information to obtain the number of the airfield runway to be detected; the monitor 9 will display the position of the patrol vehicle in real time on the corresponding map area according to the number of the airport runway to be tested, then collect the image of the contaminant coverage condition of the airport runway in real time by using the image collecting unit 2 in the mobile terminal module 11 installed on the patrol vehicle, and collect the surface condition data of the polluted airport runway by the airport runway information collecting unit 1.
The monitoring management early warning system 14 stores the serial numbers and the marking position information of all the airfield runways in advance, and the position information is used as the standard of the subsequent classified images and airfield runway surface data.
And then the mobile terminal processor 4 uploads the airport runway pollutant coverage condition image acquired by the image acquisition unit 2 and the polluted airport runway surface condition data acquired by the airport runway information acquisition unit 1 to the monitoring management early warning server 6 of the monitoring management early warning system 11 through the GPRS wireless communication module 5.
As shown in fig. 2, since the evaluation criteria require that each third of the airport runway be evaluated when evaluating a complete airport runway, the monitoring management early warning server 6 classifies the surface condition information of the airport runway according to the GPS positioning information of each piece of data to determine which third of the area the data belongs to.
The image acquisition unit 2 will also sort and number the cases where different pollutants cover the machine yard runway according to the positioning information to determine in which one third of the area the case occurs.
The fixed terminal modules 13 are installed at the edge of the airport runway, and are arranged at intervals when being adopted, and are identical to the structure and the working principle of the mobile terminal module 11, and are used for assisting the mobile terminal module 11 in collecting information of the polluted airport runway.
The airport staff fills in subjective evaluation information, performance calculation, situational awareness and supplementary information of the polluted airport runway on the manual data acquisition module 12, and then uploads the subjective evaluation information, the performance calculation, the situational awareness and the supplementary information to the monitoring management early warning system 14 in a manual evaluation report mode and stores the subjective evaluation information, the performance calculation, the situational awareness and the supplementary information in a memory.
The monitoring management early warning server 6 monitors the position information of the patrol vehicle which is in a working state and is provided with the mobile terminal module 11, displays the patrol vehicle on an airport area map corresponding to the monitor 9 in real time, positions, tracks and monitors the patrol vehicle, stores the received polluted airport runway image and the polluted airport runway data in a memory, and provides a data source for the airport runway surface condition assessment by the airport runway surface assessment module 15.
Under the control of the monitoring management early warning server 6, the image recognition unit 7 further processes the field image of the airport runway pollutant coverage condition and the polluted airport runway data stored in the memory of the monitoring management early warning server 6;
the airport runway surface evaluation unit 8 analyzes the image binarized data by utilizing the image processing result output by the image recognition unit 7, calculates the percentage of pollutants in the whole airport runway area, obtains the coverage rate of the airport runway pollutants and the airport runway condition codes of different characterization airport runway surface conditions based on the polluted airport runway surface condition data collected or provided by the mobile terminal module 11, the fixed terminal module 13 and the manual data collection module 12, and finally combines the manual evaluation report to give an airport runway condition evaluation report (RCR) of the airport to be tested according to the principle of highest manual evaluation priority
The airport surface condition early warning module 10 obtains a preset standard data value of the surface condition of the airport runway according to the number of the airport runway, and simultaneously obtains a real-time data value of the surface condition of the airport runway through the monitoring management early warning server 6, then evaluates according to the standard data value and the real-time data value to obtain an abnormal monitoring result, and sends the abnormal monitoring result to airport management personnel so as to remind the airport management personnel to take corresponding measures in time, thereby achieving the technical effects of improving objectivity and working efficiency of the judging result.
Claims (6)
1. An airport flight area road surface condition assessment system based on big data analysis is characterized in that: the airport runway surface condition assessment system comprises a mobile terminal module (11), a manual data acquisition module (12), at least one fixed terminal module (13), a GPRS wireless communication module (5) and a monitoring management early warning system (14); the mobile terminal module (11), the manual data acquisition module (12) and the fixed terminal module (13) are connected with the monitoring management early warning system (14) through the GPRS wireless communication module (5).
2. The big data analysis based airport runway surface condition assessment system of claim 1, wherein: the mobile terminal module (11) is arranged on a patrol vehicle of an airport and comprises an airport runway information acquisition unit (1), an image acquisition unit (2), a GPS positioning unit (3) and a mobile terminal processor (4); the airport runway information acquisition unit (1) is a comprehensive information acquisition unit integrating a pavement temperature sensor, an air temperature sensor, a humidity sensor and an optical spectrometer; the image acquisition unit (2) adopts an image acquisition sensor; the GPS positioning unit (3) adopts a GPS positioning module; the mobile terminal processor (4) adopts an embedded computer, is respectively and electrically connected with the airport runway information acquisition unit (1), the image acquisition unit (2) and the GPS positioning unit (3), and is simultaneously and wirelessly connected with the monitoring management early warning system (14) through the GPRS wireless communication module (5).
3. The big data analysis based airport runway surface condition assessment system of claim 1, wherein: the fixed terminal modules (13) are arranged at the edge of an airport runway, have the same structure as the mobile terminal modules 11, and are arranged at intervals when a plurality of fixed terminal modules (13) are adopted.
4. The big data analysis based airport runway surface condition assessment system of claim 1, wherein: the manual data acquisition module (12) is a mobile communication terminal.
5. The big data analysis based airport runway surface condition assessment system of claim 1, wherein: the monitoring management early warning system (14) comprises a monitoring management early warning server (6), a monitor (9), an airport runway surface assessment module (15) and an airport surface condition early warning module (10); the airport runway surface assessment module (15) comprises an image recognition unit (7) and an airport runway surface assessment unit (8); the monitoring management early warning server (6) is respectively and electrically connected with the image recognition unit (7), the monitor (9) and the airport surface condition early warning module (10), and the image recognition unit (7) is electrically connected with the airport runway surface evaluation unit (8) at the same time; the monitor (9) is a display.
6. The big data analysis based airport runway surface condition assessment system of claim 1, wherein: the mobile terminal module (11) is arranged at the top of the tail end of the inspection vehicle.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311589939.1A CN117575317A (en) | 2023-11-27 | 2023-11-27 | Airport flight area road surface condition assessment system based on big data analysis |
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| CN202311589939.1A CN117575317A (en) | 2023-11-27 | 2023-11-27 | Airport flight area road surface condition assessment system based on big data analysis |
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| CN117575317A true CN117575317A (en) | 2024-02-20 |
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- 2023-11-27 CN CN202311589939.1A patent/CN117575317A/en active Pending
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