Intelligent illumination detection system for floodlighting illumination of airport apron

Abstract

The invention provides an intelligent illumination detection system for floodlighting of an airport apron. A first illumination detection module is arranged at the top end of a bracket; the board card module is respectively connected with the positioning navigation module, the chassis control module, the camera module, the first illumination detection module, the second illumination detection module and the temperature and humidity detection module; the positioning navigation module is used for acquiring positioning information of a target detection site; the camera module is used for shooting a moving image in a detection process; the first illumination detection module and the second illumination detection module are used for acquiring illumination data in a detection process; the temperature and humidity detection module is used for acquiring temperature and humidity data in a detection process; and the chassis control module is used for controlling a detection route of the four-wheel drive according to the positioning information, and sending the motion image, the illumination data and the temperature and humidity data transmitted by the board card module to a preset cloud server. According to the invention, environment temperature and humidity information during illumination detection can be collected at the same time, and visual video monitoring during illumination detection can be carried out at the same time.

Description

Technical Field

[0001] The invention relates to the technical field of illumination detection, and in particular to an intelligent illumination detection system for apron floodlighting. Background Art

[0002] At present, the illumination test of civil aviation professional engineering apron floodlighting is mainly based on the illumination measurement method in the existing standard data, using artificial arrangement of points and using illumination testers to test illumination. The most common C-type aircraft parking space in China generally covers an area of ​​1620m 2 Generally, it is necessary to manually test 54 points of horizontal illumination and 54 points of vertical illumination. The horizontal illumination measurement position is close to the ground, and the vertical illumination needs to be measured 2m from the ground. After statistical calculation of the data, the test results are obtained. When some hub airports need to test dozens or hundreds of aircraft positions, the illumination test work is relatively heavy, time-consuming and labor-intensive, and the statistical accuracy error is large.

[0003] The invention patent with application number CN202311160983.0 discloses an airport apron floodlighting illumination test device and its use method. It relates to the field of airport testing equipment, which includes a vehicle body, a control module and a positioning module are arranged in the vehicle body, the positioning module is used to locate the measurement position, the control module is used to control the vehicle body to move to the measurement position, a vertical photosensitive module is arranged on the top of the vehicle body, and a horizontal photosensitive module is arranged on the bottom of the vehicle body, and the vertical photosensitive module and the horizontal photosensitive module are on the same vertical line. This patent has the effect of improving the convenience of detecting horizontal illumination and vertical illumination. However, this patent only includes a control module, a positioning module, and a photosensitive module, and cannot realize autonomous planning of driving routes, detection of environmental temperature and humidity information, and detection of video surveillance. Summary of the invention

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide an intelligent illumination detection system for apron floodlighting, which can simultaneously collect ambient temperature and humidity information during illumination detection and simultaneously perform visual video monitoring during illumination detection.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] An intelligent illumination detection system for apron floodlighting includes: a four-wheel drive vehicle capable of omnidirectional movement, a chassis control module, a board module, a bracket, a positioning navigation module, a camera module, a first illumination detection module, a second illumination detection module and a temperature and humidity detection module;

[0007] The chassis control module, the board module, the bracket, the positioning and navigation module, the temperature and humidity detection module, the camera module and the second illumination detection module are all arranged on the four-wheel drive vehicle; the first illumination detection module is arranged at the top of the bracket; the board module is respectively connected to the positioning and navigation module, the chassis control module, the camera module, the first illumination detection module, the second illumination detection module and the temperature and humidity detection module; the positioning and navigation module is used to obtain the positioning information of the target detection site; the camera module is used to capture the motion image during the detection process; the first illumination detection module and the second illumination detection module are used to obtain the illumination data during the detection process; the temperature and humidity detection module is used to obtain the temperature and humidity data during the detection process; the chassis control module is used to control the detection route of the four-wheel drive vehicle according to the positioning information, and send the motion image, the illumination data and the temperature and humidity data transmitted by the board module to a preset cloud server.

[0008] Preferably, it also includes: a support extension and retraction control module;

[0009] The support extension and retraction control module is arranged on the support, and the support extension and retraction control module is used to control the support to retract or extend.

[0010] Preferably, it also includes: a positioning navigation antenna;

[0011] The positioning and navigation antenna is arranged on the bracket, and the positioning and navigation antenna is connected to the positioning and navigation module; the positioning and navigation antenna is used to receive satellite signals and send the satellite signals to the positioning and navigation module.

[0012] Preferably, the four-wheel drive vehicle comprises a vehicle body and four wheels respectively arranged on the vehicle body; the wheels are connected to the chassis control module.

[0013] Preferably, the first illumination detection module is arranged at a height greater than the second illumination detection module.

[0014] Preferably, the chassis control module is a STM32F407 single chip microcomputer.

[0015] Preferably, the cloud server is connected to the STM32F407 single-chip computer wirelessly; the cloud server is used to automatically generate detection results according to the positioning information, the motion image, the illumination data and the temperature and humidity data, and automatically compile the detection results into a detection report.

[0016] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0017] The present invention provides an intelligent illumination detection system for apron floodlighting, comprising: a four-wheel drive vehicle capable of omnidirectional movement, a chassis control module, a board module, a bracket, a positioning and navigation module, a camera module, a first illumination detection module, a second illumination detection module and a temperature and humidity detection module; the chassis control module, the board module, the bracket, the positioning and navigation module, the temperature and humidity detection module, the camera module and the second illumination detection module are all arranged on the four-wheel drive vehicle; the first illumination detection module is arranged at the top of the bracket; the board module is respectively connected to the positioning and navigation module, the chassis control module, the camera module , the first illumination detection module, the second illumination detection module and the temperature and humidity detection module are connected; the positioning navigation module is used to obtain the positioning information of the target detection site; the camera module is used to capture the motion image during the detection process; the first illumination detection module and the second illumination detection module are used to obtain the illumination data during the detection process; the temperature and humidity detection module is used to obtain the temperature and humidity data during the detection process; the chassis control module is used to control the detection route of the four-wheel drive vehicle according to the positioning information, and send the motion image, the illumination data and the temperature and humidity data transmitted by the board module to the preset cloud server. The present invention can realize the simultaneous collection of environmental temperature and humidity information during illumination detection and the visual video monitoring during illumination detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 A side view of the system structure provided by an embodiment of the present invention;

[0020] Figure 2 A front view of the system structure provided by an embodiment of the present invention;

[0021] Figure 3 A schematic diagram of the hardware architecture provided for an embodiment of the present invention.

[0022] Description of reference numerals:

[0023] 1. Vehicle body; 2. Wheels; 3. Chassis control module; 4. Board module; 5. Bracket; 6. Bracket extension and retraction control module; 7. Positioning and navigation module; 8. Positioning and navigation antenna; 9. Camera module; 10. First illumination detection module; 11. Second illumination detection module; 12. Temperature and humidity detection module. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] like Figure 1 to Figure 2 As shown, the present invention provides an intelligent illumination detection system for apron floodlighting, comprising: a four-wheel drive vehicle capable of omnidirectional movement, a chassis control module 3, a bracket telescopic control module 6, a board module 4, a bracket 5, a positioning navigation module 7, a camera module 9, a positioning navigation antenna 8, a first illumination detection module 10, a second illumination detection module 11 and a temperature and humidity detection module 12; the four-wheel drive vehicle comprises a vehicle body 1 and four wheels 2 respectively arranged on the vehicle body 1; the wheels 2 are connected to the chassis control module 3;

[0027] The chassis control module 3, the board module 4, the bracket 5, the positioning and navigation module 7, the temperature and humidity detection module 12, the camera module 9 and the second illumination detection module 11 are all arranged on the four-wheel drive vehicle; the first illumination detection module 10 is arranged on the top of the bracket 5; the board module 4 is respectively connected to the positioning and navigation module 7, the chassis control module 3, the camera module 9, the first illumination detection module 10, the second illumination detection module 11 and the temperature and humidity detection module 12; the positioning and navigation module 7 is used to obtain the positioning information of the target detection site; the camera module 9 is used to shoot the motion image during the detection process; the first illumination detection module 10 and the second illumination detection module 11 are used to obtain the illumination data during the detection process; The temperature and humidity detection module 12 is used to obtain temperature and humidity data during the detection process; the chassis control module 3 is used to control the detection route of the four-wheel drive vehicle according to the positioning information, and send the motion image, the illumination data and the temperature and humidity data transmitted by the board module 4 to a preset cloud server; the bracket extension and retraction control module 6 is arranged on the bracket 5, and the bracket extension and retraction control module 6 is used to control the bracket 5 to shrink or extend; the positioning and navigation antenna 8 is arranged on the bracket 5, and the positioning and navigation antenna 8 is connected to the positioning and navigation module 7; the positioning and navigation antenna 8 is used to receive satellite signals and send the satellite signals to the positioning and navigation module 7; the setting height of the first illumination detection module 10 is greater than the setting height of the second illumination detection module 11.

[0028] like Figure 3 As shown, the hardware structure of this embodiment is as follows:

[0029] The hardware mainly includes a four-wheel Ackerman chassis (vehicle body 1), a chassis control core (chassis control module 3), a Linux board (board module 4), a GNSS-RTK positioning module (positioning and navigation module 7 + positioning and navigation antenna 8), a temperature and humidity detection module 12, an illumination detection module (a first illumination detection module 10 + a second illumination detection module 11) and a camera module 9.

[0030] 1) Four-wheel Ackerman chassis

[0031] The four-wheel drive chassis can realize the rotation of the car in place, reduce steering errors, and meet the precise driving requirements at all points. The Nano-Panda wheeled chassis mainly includes the mechanical body and the single-chip microcomputer control part.

[0032] 2) Chassis control core

[0033] The chassis control core of the smart car uses STM32F407. Compared with the STC89 series (8-bit), it uses ARM Cortex-M, has a 32-bit core, has higher processing power and larger storage capacity. The motor drive module and power management module are fixed on the bottom main control board.

[0034] 3) Linux Board

[0035] Raspberry Pi 4B-4GB is selected, mainly for navigation control and sensor data feedback.

[0036] 4) GNSS-RTK positioning module

[0037] The point position error accuracy requirement is ≤5cm. The accuracy of a single satellite positioning module can only reach the meter level, so GNSS+RTK is needed to achieve centimeter-level accuracy requirements. In the navigation controller, a GNSS-RTK multi-mode multi-frequency receiver is used to receive satellite signals and obtain the absolute position of the chassis of the detection device. The carrier phase differential technology RTK (Real Time Kinematic) is achieved by processing the carrier phase data of two detection stations at the same time. Therefore, the use of RTK technology can obtain three-dimensional position data with centimeter-level accuracy in real time.

[0038] 5) Temperature and humidity detection module 12

[0039] The DHT11 sensor is a temperature and humidity integrated sensor with built-in analog-to-digital conversion. It can directly output digital signals and transmit them to the microcontroller, making the detection of temperature and humidity more accurate and the transmission efficiency higher.

[0040] 6) Illumination detection module

[0041] The MAX44009 is a low-power ambient light sensor with an ADC (analog-to-digital converter) for an ultra-wide 22-bit dynamic range of 0.045 lux to 188,000 lux. The sensor features I 2 C digital output, 1μ operating current, especially suitable for portable applications.

[0042] 7) Camera module 9

[0043] The IMX415 camera module is designed for intelligent video collaboration cameras to capture high-speed, high-definition motion images. It has high sensitivity and low dark current, and also features an electronic shutter function with variable storage time.

[0044] This embodiment is determined according to the overall architecture and the hardware of each module, and various overall hardware is mounted on a four-wheel omnidirectional wheel chassis, and corresponding functions are developed and implemented based on the ROS robot system.

[0045] The implementation process of this embodiment is as follows:

[0046] 1. Importing measurement point data: Divide the inspection site into a square grid, and import the grid center coordinate data into the RTK system (positioning navigation module 7, positioning navigation antenna 8) of the inspection device to achieve the positioning of the measurement point and route planning navigation.

[0047] 2. Device preparation: The first illumination detection module 10 on the bracket 5 is controlled at a height of 2 m by adjusting the bracket telescopic control module 6 , navigation control is performed through the board module 4 , and the vehicle body 1 and wheels 2 are driven through the chassis control module 3 .

[0048] 3. Illumination detection: The detection device moves along the planned route, and performs illumination detection (first illumination detection module 10, second illumination detection module 11), environmental temperature and humidity detection (temperature and humidity detection module 12), and video monitoring (camera module 9) at the measurement points.

[0049] 4. Generate a test report. Through each communication module, high-precision positioning data and test data are matched, and the test results are automatically generated and compiled into a test report.

[0050] The beneficial effects of the present invention are as follows:

[0051] (1) Automated detection improves the efficiency of illumination detection. High-precision positioning data and detection data are matched through each communication module, and the detection results are automatically generated and compiled into a detection report.

[0052] (2) Reduce the precision error of data statistics. If the driving point deviates during the detection process, the system will automatically issue an early warning to ensure the precision and accuracy of the detection data.

[0053] (3) The four-wheel drive chassis can enable the car to rotate on the spot, reduce steering errors, and meet the requirements of precise driving at various points.

[0054] (4) Simultaneously collect ambient temperature and humidity information during illumination detection.

[0055] (5) Visual video monitoring during simultaneous illumination detection.

[0056] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0057] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. An intelligent illumination detection system for apron floodlighting, characterized in that: include: A four-wheel drive vehicle capable of omnidirectional movement, a chassis control module, a board module, a bracket, a positioning navigation module, a camera module, a first illumination detection module, a second illumination detection module and a temperature and humidity detection module; The chassis control module, the board module, the bracket, the positioning and navigation module, the temperature and humidity detection module, the camera module and the second illumination detection module are all arranged on the four-wheel drive vehicle; the first illumination detection module is arranged at the top of the bracket; the board module is respectively connected to the positioning and navigation module, the chassis control module, the camera module, the first illumination detection module, the second illumination detection module and the temperature and humidity detection module; the positioning and navigation module is used to obtain the positioning information of the target detection site; the camera module is used to shoot the motion image during the detection process; the first illumination detection module and the second illumination detection module are used to obtain the illumination data during the detection process; the temperature and humidity detection module is used to obtain the temperature and humidity data during the detection process; The chassis control module is used to control the detection route of the four-wheel drive vehicle according to the positioning information, and send the motion image, the illumination data and the temperature and humidity data transmitted by the board module to a preset cloud server.

2. The intelligent illumination detection system for ramp floodlighting according to claim 1 is characterized in that: Also includes: Bracket extension and retraction control module; The support extension and retraction control module is arranged on the support, and the support extension and retraction control module is used to control the support to retract or extend.

3. The intelligent illumination detection system for apron floodlighting according to claim 1 is characterized in that: Also includes: Positioning navigation antenna; The positioning and navigation antenna is arranged on the bracket, and the positioning and navigation antenna is connected to the positioning and navigation module; The positioning and navigation antenna is used to receive satellite signals and send the satellite signals to the positioning and navigation module.

4. The intelligent illumination detection system for apron floodlighting according to claim 1 is characterized in that: The four-wheel drive vehicle comprises a vehicle body and four wheels respectively arranged on the vehicle body; the wheels are connected to the chassis control module.

5. The intelligent illumination detection system for apron floodlighting according to claim 1 is characterized in that: The first illumination detection module is arranged at a height greater than the second illumination detection module.

6. The intelligent illumination detection system for ramp floodlighting according to claim 1 is characterized in that: The chassis control module is a STM32F407 single chip microcomputer.

7. The intelligent illumination detection system for ramp floodlighting according to claim 6 is characterized in that: The cloud server is connected to the STM32F407 single-chip computer in a wireless manner; the cloud server is used to automatically generate detection results according to the positioning information, the motion image, the illumination data and the temperature and humidity data, and automatically compile the detection results into a detection report.

Images