Intelligent monitoring and alarming device for floodlighting of airport apron

Abstract

The utility model belongs to the technical field of lighting monitoring equipment, and discloses an intelligent monitoring alarm device for apron floodlighting, which comprises a voltage and current sensor and an internet of things controller, and is characterized in that the current sensor is mounted on the outer side of a power supply line of a lighting lamp; the voltage and current sensor is connected with an Internet of Things controller, and the Internet of Things controller is connected with a remote monitoring terminal through a wireless signal. The power supply end of the Internet of Things controller is connected with a power supply circuit of the lighting lamp. According to the utility model, through installing the voltage and current inductor on each group of illumination loop, real-time monitoring can be carried out on the floodlighting illumination lamp of the airport apron, dynamic monitoring of the operation state can be realized, and the monitoring result can be transmitted to the remote monitoring terminal, so that operation and maintenance personnel can obtain the actual working state of the related lamp in real time, and the operation and maintenance efficiency can be improved. And the operation management requirements of the airport are met.

Description

Technical Field

[0001] The utility model belongs to the technical field of lighting monitoring equipment, and particularly relates to an intelligent monitoring and alarm device for apron floodlighting. Background Art

[0002] Halogen lamps or LEDs are mostly used as light sources for airport floodlighting. Multiple lamp heads of airport high masts are connected in parallel to achieve greater power and a larger lighting range coverage. However, in actual operation, the halogen lamps have a relatively short trouble-free time, and in actual operation, some lamp heads often fail. Affected by high-temperature operation, the LED lamps may have light decay problems, affecting the actual lighting effect. Airport maintenance often requires on-site evaluation of faulty lamps and lighting effects, resulting in low efficiency.

[0003] Currently, apron floodlighting at airports nationwide is basically controlled manually remotely or locally, and it is impossible to effectively compare the real-time status by combining the operation of A-CDM flight data and the operation of high masts. Operation and maintenance personnel face a large number of high masts on the apron and cannot compare the operation conditions in time, which is extremely likely to cause problems such as the operation status of the lights not matching the flights and the failure not being detected in time, seriously restricting the operation management of the airport. Therefore, the utility model provides an intelligent monitoring and alarm device for apron floodlighting, which realizes the dynamic monitoring of the operation status and the voice reminder and alarm function through the current monitoring device based on the Internet of Things, meeting the operation management requirements of the airport. Summary of the Utility Model

[0004] To overcome the problems existing in the related art, the disclosed embodiments of the utility model provide an intelligent monitoring and alarm device for apron floodlighting.

[0005] The technical solution of the utility model is as follows: The intelligent monitoring and alarm device for apron floodlighting includes: a halogen lamp detection part, an LED lamp detection part, and a basic detection and control part;

[0006] The halogen lamp detection part detects the halogen lamps through a light source voltage sensor and a frequency meter sensor;

[0007] The LED lamp detection part detects the LED lamps through a light temperature sensor and a PWM sensor;

[0008] The basic detection and control part detects the lamps through a light input voltage sensor and a light input current sensor.

[0009] Further, the light input voltage sensor and the light input current sensor are connected to a microcontroller through a fault detection network, and the microcontroller is connected to an Internet of Things controller through a 485 interface module.

[0010] Further, the halogen lamp detection part is also connected to a fault detection network, and the fault detection network detects the current and voltage operating conditions of the halogen lamp through a current sensor and a light source voltage sensor;

[0011] The fault detection network is also connected to a frequency meter sensor, and the frequency meter sensor detects the light emission frequency of the halogen lamp array.

[0012] Further, the LED lamp detection part is also connected to a fault detection network, and the fault detection network detects the current and voltage operating conditions of the LED lamp through a current sensor and a light source voltage sensor;

[0013] The fault detection network is also connected to a PWM sensor, and the PWM sensor detects the light emission pulse of the LED lamp.

[0014] Further, the light source voltage sensor performs voltage detection by connecting to the zero-fire wire of the lighting fixture, and the current sensor is non-contact connected to the live wire through an induction coil for current detection. The detection results are connected to the microcontroller through the fault detection network and connected to the Internet of Things controller through a 485 interface module. The Internet of Things controller is connected to the remote monitoring terminal through optical fiber or 4G network.

[0015] Further, the remote monitoring terminal is connected with a voice player.

[0016] Combining all the above technical solutions, the beneficial effects of the present utility model are as follows: Currently, the apron floodlighting often uses poles with a height of 20 - 30 meters to support for a larger range of lighting. However, in actual operation, a single light source failure often does not affect the use, while multiple light source failures require an assessment of the affected range. The present utility model can effectively monitor the state of the apron floodlighting in real time by installing voltage and current sensors on each group of lighting fixtures and detecting the relevant stroboscopic conditions in real time for the working state of the fixtures. It can distinguish whether the lamp is started (whether power is supplied, i.e., whether there is voltage, and whether there is current during normal operation), whether there is a stroboscopic fault in the lamp (low-frequency flicker, high-frequency flicker, occasional flicker), and classify and report the relevant drive circuit faults and light source faults of the lighting fixture, realizing dynamic monitoring of the operation state, and transmitting the monitoring results to the remote monitoring terminal, enabling the maintenance personnel to obtain the actual working state of the relevant lamps in real time, evaluate the fault range, prepare fault spare parts in advance, and conduct unified maintenance. It has strong practicability and high flexibility, meets the operation management requirements of the airport, and does not require on-site repeated disassembly to confirm and fault information.

[0017] With the increasing social demand, the apron area of newly built and expanded civil aviation transport airports is getting larger and larger, and the functional area division is becoming more and more complex. The utility model can realize the intelligent monitoring and management of high-pole lights on the apron, solve the problems of complex management and easy manual omission in the daily operation of the airport, and effectively improve the operation and management efficiency of the airport.

[0018] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the disclosure of the utility model. Brief Description of the Drawings

[0019] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0020] Figure 1 is a schematic structural diagram of an intelligent monitoring and alarm device for apron floodlighting provided by an embodiment of the utility model;

[0021] Figure 2 is a schematic diagram of the detection principle of a halogen lamp provided by an embodiment of the utility model;

[0022] Figure 3 is a schematic diagram of the detection principle of an LED lamp provided by an embodiment of the utility model;

[0023] In the figure: 1. Halogen lamp detection part; 2. LED lamp detection part; 3. Basic detection and control part; 4. Fault detection network; 5. Current sensor; 6. Light source voltage sensor; 7. Frequency meter sensor; 8. PWM sensor. Detailed Embodiments

[0024] In order to make the above objects, features, and advantages of the utility model more obvious and understandable, the following detailed description of the specific embodiments of the utility model will be given with reference to the accompanying drawings. Many specific details are set forth in the following description in order to fully understand the utility model. However, the utility model can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the utility model. Therefore, the utility model is not limited by the specific embodiments disclosed below.

[0025] As Figure 2 shown, the intelligent monitoring and alarm device for apron floodlighting provided by an embodiment of the utility model includes a current sensor 5, a light source voltage sensor 6, and a fault detection network 4 controlled by the Internet of Things.

[0026] The current sensor 5 is installed outside the power supply lines of the halogen lamp detection part 1 and the LED lamp detection part 2;

[0027] The light source voltage sensor 6 is connected to the Internet of Things controller via a connecting line, and the Internet of Things controller fault detection network 4 is connected to the remote monitoring terminal via a wireless signal.

[0028] The device also includes: a halogen lamp detection part 1, an LED lamp detection part 2 and a basic detection and control part 3;

[0029] The halogen lamp detection part 1 detects the halogen lamp through the light source voltage sensor and the frequency meter sensor;

[0030] LED lamp detection part 2 detects the LED lamp through the light temperature sensor and the PWM sensor;

[0031] The basic detection and control part 3 detects the lamp through the light input voltage sensor and the light input current sensor.

[0032] Preferably, the power supply end of the IoT controller fault detection network 4 in the embodiment of the utility model is connected to the light source voltage sensor 6 of the halogen lamp detection part 1 and the LED lamp detection part 2. The fault detection network 4 is also connected to the PWM sensor 8, which detects the light pulse of the LED lamp.

[0033] Preferably, the remote monitoring terminal in the embodiment of the utility model is connected with a voice player.

[0034] When the utility model is in use, the power supply circuit of each halogen lamp detection part 1 and LED lamp detection part 2 is respectively connected to a group of current sensors 5, light source voltage sensors 6 and a fault detection network 4 controlled by the Internet of Things. Each current sensor 5 and light source voltage sensor 6 can perform non-contact induction detection on the voltage and current of the current power supply circuit, and transmit the detection results to the remote control terminal in real time for display using the current sensor 5 and light source voltage sensor 6. It is convenient to compare with flight operation data, visualize the abnormal operation data of the high pole lamp through the system, and broadcast it through the voice player to remind the on-duty personnel to deal with it.

[0035] Since the halogen lamp flickers at the industrial frequency after startup, if the current suddenly changes drastically or the flickering frequency is different from the power supply frequency, the data collected by the frequency meter will change, and an alarm will be issued. If the power supply current of the LED lamp changes or the PWM wave is detected to be different from before, an alarm will be issued.

[0036] If a huge current change occurs, the system microcontroller will automatically alarm and continuously evaluate whether there is a fault damage. For the confirmed fault damage, the host computer program provides historical data for detection and analysis. Since the current at the start of a halogen lamp is related to the usage time, but the voltage and current sensor is connected before the halogen lamp power adapter, the potential fault risk of the halogen lamp can be evaluated through multiple subtle current and power changes, providing a basis for quarterly / annual spare parts.

[0037] It is convenient to compare the monitoring data, and the abnormal high mast lights are marked in the system and have a voice reminder function, enabling the duty personnel to promptly understand the operation status of the high mast lights, promptly handle abnormal events, and ensure the operation efficiency of the airport.

[0038] The abnormal states mainly include:

[0039] (1) There is power supply for the halogen lamp detection part 1 and the LED lamp detection part 2, that is, they need to light up, but the voltage or current of the halogen lamp detection part 1 and the LED lamp detection part 2 is insufficient, that is, they do not light up or do not light up completely, which is an abnormal state;

[0040] (2) There is power supply for the halogen lamp detection part 1 and the LED lamp detection part 2, that is, they need to light up, but the PWM frequency of the halogen lamp detection part 1 and the LED lamp detection part 2 is too low, that is, there is a stroboscopic problem with the lamps, which is an abnormal state;

[0041] (3) There is power supply for the halogen lamp detection part 1 and the LED lamp detection part 2, that is, they need to light up, but the temperature of one or more temperature sensors of the halogen lamp detection part 1 and the LED lamp detection part 2 is too high, then a request to turn off the signal is sent through the wireless module to avoid LED burnout, and this state is an abnormal state.

[0042] As mentioned above, only the relatively optimal specific implementation manner of the present utility model is described, but the protection scope of the present utility model is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present utility model, any modification, equivalent replacement, and improvement made within the spirit and principle of the present utility model should be covered within the protection scope of the present utility model.

Claims

1. An intelligent monitoring and alarming device for apron floodlighting, characterized in that, The device includes: a halogen lamp detection part (1), an LED lamp detection part (2), and a basic detection and control part (3); The halogen lamp detection part (1) detects halogen lamps through a light source voltage sensor (6) and a frequency meter sensor (7); The LED lamp detection part (2) detects LED lamps through a light temperature sensor and a PWM sensor (8); The basic detection and control part (3) detects lamps through a light input voltage sensor and a light input current sensor (5).

2. The intelligent monitoring and alarming device for apron floodlighting according to claim 1, wherein The light input voltage sensor and the light input current sensor (5) are connected to a microcontroller through a fault detection network (4), and the microcontroller is connected to an Internet of Things controller through a 485 interface module.

3. The intelligent monitoring and alarm device for apron floodlighting according to claim 1, wherein, The halogen lamp detection part (1) is also connected to the fault detection network (4), and the fault detection network (4) detects the current and voltage operation conditions of the halogen lamps through a current sensor (5) and a light source voltage sensor (6); The fault detection network (4) is also connected to the frequency meter sensor (7), and the frequency meter sensor (7) detects the light emission frequency of the halogen lamp array.

4. The intelligent monitoring and alarm device for apron floodlighting according to claim 1, characterized in that, The LED lamp detection part (2) is also connected to the fault detection network (4), and the fault detection network (4) detects the current and voltage operation conditions of the LED lamps through a current sensor (5) and a light source voltage sensor (6); The fault detection network (4) is also connected to the PWM sensor (8), and the PWM sensor (8) detects the light emission pulse of the LED lamp.

5. The intelligent monitoring and alarm device for apron floodlighting according to claim 3 or 4, characterized in that, The light source voltage sensor (6) detects voltage by connecting to the zero-fire wire of the lighting lamp, and the current sensor (5) is connected to the live wire non-contact through an induction coil for current detection. The detection results are connected to the microcontroller through the fault detection network (4) and connected to the Internet of Things controller through a 485 interface module. The Internet of Things controller is connected to the remote monitoring terminal through optical fiber or 4G network.

6. The intelligent monitoring and alarming device for apron floodlighting according to claim 5, wherein The remote monitoring terminal is connected with a voice player.

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