阅读说明：本技术 一种基于物联网技术的隧道照明系统及其控制方法 (Tunnel lighting system based on Internet of things technology and control method thereof ) 是由 张小波 于 2021-08-12 设计创作，主要内容包括：本发明公开了一种基于物联网技术的隧道照明系统及其控制方法,涉及智能照明技术领域。本发明包括远程监控终端,远程监控终端包括车流量预测模型、存储模块、故障异常报警模块和无线通信模块；隧道,隧道顶部等间距安装有隧道监控摄像装置和照明灯具；隧道的入口处安装有洞外亮度检测仪；隧道内还设置有车流检测模块和车速检测模块；隧道监控摄像装置、隧道灯光总控单元、区域灯光控制单元、车流检测模块、车速检测模块和洞外亮度检测仪均通过移动通信网络与远程监控终端连接。本发明根据隧道内的光线强度将隧道分为四个区域,对每个区域进行分段控制照明,并对异常照明发出警报,提高了隧道照明的智能化控制,降低了电力资源的损耗。(The invention discloses a tunnel lighting system based on the technology of the Internet of things and a control method thereof, and relates to the technical field of intelligent lighting. The system comprises a remote monitoring terminal, wherein the remote monitoring terminal comprises a traffic flow prediction model, a storage module, a fault abnormity alarm module and a wireless communication module; the tunnel monitoring camera device and the lighting lamp are arranged at the top of the tunnel at equal intervals; an out-of-tunnel brightness detector is installed at the entrance of the tunnel; a traffic flow detection module and a vehicle speed detection module are also arranged in the tunnel; the tunnel monitoring camera device, the tunnel light master control unit, the area light control unit, the traffic flow detection module, the vehicle speed detection module and the out-of-tunnel brightness detector are all connected with the remote monitoring terminal through a mobile communication network. According to the invention, the tunnel is divided into four areas according to the light intensity in the tunnel, each area is subjected to subsection control illumination, and an alarm is given to abnormal illumination, so that the intelligent control of tunnel illumination is improved, and the loss of power resources is reduced.)

1. A tunnel lighting system based on Internet of things technology, comprising:

the remote monitoring terminal comprises a traffic flow prediction model, a storage module, a fault abnormity alarm module and a wireless communication module;

the tunnel monitoring camera device and the lighting lamp are arranged at the top of the tunnel at equal intervals; an out-of-tunnel brightness detector is installed at the entrance of the tunnel; the tunnel is composed of an entrance area, a transition area, an inner area and an exit area; the entrance area, the transition area, the internal area and the exit area are all provided with a tunnel light master control unit and a brightness detector; the tunnel light master control unit is connected with the lighting lamp; the transition area and the internal area are both provided with an area light control unit; the brightness detectors in the transition area and the internal area are connected with the lighting lamp through the area light control unit and the light drive in sequence;

a traffic flow detection module and a vehicle speed detection module are also arranged in the tunnel; the tunnel monitoring camera device, the tunnel light master control unit, the area light control unit, the traffic flow detection module, the vehicle speed detection module and the out-of-tunnel brightness detector are all connected with the remote monitoring terminal through a mobile communication network.

2. The tunnel lighting system based on the internet of things technology as claimed in claim 1, wherein the remote monitoring terminal is communicated with a tunnel light master control unit of a tunnel monitoring site through a mobile communication network; the remote monitoring terminal is used for remotely inquiring the tunnel light state and remotely controlling the tunnel light state.

3. The tunnel lighting system based on the internet of things technology of claim 1 or 2, wherein the tunnel light master control unit is configured to detect tunnel entrance brightness, vehicle speed, and traffic flow data in real time, generate brightness control commands for each segment in the tunnel, transmit the brightness control commands to the next monitoring area through the ZigBee wireless network module, receive a target brightness value sent by the previous stage in the next monitoring area, and output a PWM signal to control the lighting fixture.

4. The system of claim 1, wherein the algorithm for dividing the entrance zone, the transition zone, the interior zone and the exit zone of the tunnel is as follows:

the luminance outside the hole measured by the luminance outside the hole detector is L_vThen the luminance at the entrance end of the tunnel is:

L_th＝kL_v(cd/m²)；

in the formula, k is an entrance end brightness conversion factor, and is 0.035;

brightness L at tunnel entrance end_thWhen the brightness is attenuated to 40%, the brightness enters a transition region, and the brightness L of the transition region_trThe calculation formula of (2) is as follows:

L_tr＝L_th(1.9+t)^-1.4(cd/m²)；

when the brightness L of the transition region_trWhen the attenuation reaches 2%, the liquid enters the inner area;

when the brightness L of the inner region_inRestore to the transition region luminance L_tr80% of the total amount of the organic solvent, and enters the outlet zone.

5. The internet of things technology-based tunnel lighting system according to claim 4, wherein the length calculation formula of the entrance area is as follows:

D_th＝1.154SSD-5.67(h-1.5)；

in the formula, SDD is the safe distance between two vehicles, and h is the entrance height of the tunnel.

6. A tunnel lighting control method based on the technology of the Internet of things is characterized by comprising the following steps:

step S1: building a tunnel lighting network;

step S2: starting brightness detectors inside and outside the tunnel, detecting the brightness in the tunnel and dividing the area;

step S3: the remote monitoring terminal controls the tunnel light master control unit to adjust the brightness of the lighting lamps in each area;

step S4: the regional light control unit performs secondary adjustment on the lighting lamps in the transition region and the internal region;

step S5: detecting the traffic flow and the speed in the tunnel to calculate the distance between the vehicles, and sending an alarm by the remote monitoring terminal once the vehicles are overspeed or too close to the distance;

step S6: and when the regulated lighting lamp does not reach the specified brightness, the remote monitoring terminal sends out a fault abnormal alarm.

7. The method for controlling tunnel lighting based on internet of things of claim 6, wherein in step S1, a tunnel lighting network is built, and devices in a tunnel are uploaded to a remote monitoring terminal through a mobile communication network; a traffic flow prediction model is arranged in the remote monitoring terminal; the traffic flow prediction model is obtained by acquiring a large amount of tunnel vehicle passing data and training.

8. The method for controlling tunnel lighting based on the internet of things technology of claim 6, wherein in the step S3, the tunnel light master control unit primarily adjusts the lighting fixtures in the tunnel, and then secondarily adjusts the transition area and the inner area in the tunnel by using the area light control unit according to the difference between the traffic flow and the vehicle speed.

9. The method for controlling tunnel lighting based on the internet of things technology of claim 6, wherein in the step S6, the method for judging that the lighting lamp reaches the specified brightness after being adjusted is as follows:

step S61: initializing a system;

step S62: detecting the current lamplight brightness by a brightness detector in each area;

step S63: acquiring the brightness of light in the current area;

step S64: calculating a deviation between the set luminance value and the actual luminance;

step S65: controlling the lighting lamp to perform secondary regulation by using PWM through a PID operation method;

step S66: and if the illumination lamp after secondary adjustment still cannot reach the set brightness value, the remote monitoring terminal sends out a fault abnormal alarm.

Technical Field

The invention belongs to the technical field of intelligent lighting, and particularly relates to a tunnel lighting system based on the technology of the Internet of things and a control method thereof.

Background

With the vigorous development of national infrastructure, the total road mileage in China reaches 469.63 kilometers in 2016, and the first road in China jumps around the world, wherein the road tunnel reaches 14039.7km at 15181. And tunnel mileage is still continuously increasing rapidly.

With the gradual increase of the mileage of the tunnel, the improvement of the tunnel lighting aspect also becomes more important. At present, the tunnel lighting mainly considers the problems of three aspects: 1. energy conservation and emission reduction. Due to the environmental characteristics of tunnel lighting, lamps in tunnel holes are basically in a long-term operation state, and tunnel lighting is a large energy-consuming household using electricity. Under the environment that the country advocates energy conservation and emission reduction and builds green families vigorously, how to scientifically control the illumination and realize the optimal energy-saving management and control is a technical direction needing important research. 2. And (5) adjusting the illumination intensity. Due to the adaptability of human eyes, if the brightness difference between the inside and the outside of the tunnel hole is too large, a driver can generate a black hole effect (a black film before the eyes) and a white hole effect (a white film before the eyes) when entering the tunnel and leaving the tunnel, thereby causing great hidden danger to the driving safety. How to scientifically adjust the illumination in the tunnel according to the season, the time period in one day, the weather condition and the ambient brightness outside the tunnel as required to ensure the driving safety is the direction of key research. 3. And adjusting the color temperature. The lamplight with different color temperatures gives people different visual feelings. In order to deal with different weather conditions, the color temperature of tunnel illumination needs to be scientifically adjusted so as to achieve the best comfort and ensure the driving safety.

In the conventional technology, tunnel illumination control is mainly realized by a timer. The tunnel lighting control apparatus adjusts the lighting illuminance, the color temperature, and the like to fixed values at fixed time points every day. However, such a tunnel lighting control device has a problem of low intelligence.

Disclosure of Invention

The invention aims to provide a tunnel lighting system based on the Internet of things technology and a control method thereof.

In order to solve the technical problems, the invention is realized by the following technical scheme:

the invention relates to a tunnel lighting system based on the technology of the Internet of things, which comprises:

the remote monitoring terminal comprises a traffic flow prediction model, a storage module, a fault abnormity alarm module and a wireless communication module;

the tunnel monitoring camera device and the lighting lamp are arranged at the top of the tunnel at equal intervals; an out-of-tunnel brightness detector is installed at the entrance of the tunnel; the tunnel is composed of an entrance area, a transition area, an inner area and an exit area; the entrance area, the transition area, the internal area and the exit area are all provided with a tunnel light master control unit and a brightness detector; the tunnel light master control unit is connected with the lighting lamp; the transition area and the internal area are both provided with an area light control unit; the brightness detectors in the transition area and the internal area are connected with the lighting lamp through the area light control unit and the light drive in sequence;

a traffic flow detection module and a vehicle speed detection module are also arranged in the tunnel; the tunnel monitoring camera device, the tunnel light master control unit, the area light control unit, the traffic flow detection module, the vehicle speed detection module and the out-of-tunnel brightness detector are all connected with the remote monitoring terminal through a mobile communication network.

Preferably, the remote monitoring terminal is communicated with a tunnel light master control unit of a tunnel monitoring site through a mobile communication network; the remote monitoring terminal is used for remotely inquiring the tunnel light state and remotely controlling the tunnel light state.

Preferably, the tunnel light master control unit is configured to detect tunnel entrance brightness, vehicle speed, and traffic flow data in real time, generate a brightness control command for each segment in the tunnel, transmit the brightness control command to a next monitoring area through the ZigBee wireless network module, receive a target brightness value sent by a previous stage in the next monitoring area, and output a PWM signal to control the lighting fixture.

Preferably, the division algorithm of the entrance zone, the transition zone, the inner zone and the exit zone of the tunnel is as follows:

the luminance outside the hole measured by the luminance outside the hole detector is L_vThen the luminance at the entrance end of the tunnel is:

L_th＝kL_v(cd/m²)；

in the formula, k is an entrance end brightness conversion factor, and is 0.035;

brightness L at tunnel entrance end_thWhen the brightness is attenuated to 40%, the brightness enters a transition region, and the brightness L of the transition region_trThe calculation formula of (2) is as follows:

L_tr＝L_th(1.9+t)^-1.4(cd/m²)；

when the brightness L of the transition region_trWhen the attenuation reaches 2%, the liquid enters the inner area;

when the brightness L of the inner region_inRestore to the transition region luminance L_tr80% of the total amount of the organic solvent, and enters the outlet zone.

Preferably, the length calculation formula of the inlet area is as follows:

D_th＝1.154SSD-5.67(h-1.5)；

in the formula, SDD is the safe distance between two vehicles, and h is the entrance height of the tunnel.

The invention relates to a tunnel lighting control method based on the technology of the Internet of things, which comprises the following steps:

step S1: building a tunnel lighting network;

step S2: starting brightness detectors inside and outside the tunnel, detecting the brightness in the tunnel and dividing the area;

step S3: the remote monitoring terminal controls the tunnel light master control unit to adjust the brightness of the lighting lamps in each area;

step S4: the regional light control unit performs secondary adjustment on the lighting lamps in the transition region and the internal region;

step S5: detecting the traffic flow and the speed in the tunnel to calculate the distance between the vehicles, and sending an alarm by the remote monitoring terminal once the vehicles are overspeed or too close to the distance;

step S6: and when the regulated lighting lamp does not reach the specified brightness, the remote monitoring terminal sends out a fault abnormal alarm.

Preferably, in step S1, a tunnel lighting network is built, and the devices in the tunnel are uploaded to the remote monitoring terminal through the mobile communication network; a traffic flow prediction model is arranged in the remote monitoring terminal; the traffic flow prediction model is obtained by acquiring a large amount of tunnel vehicle passing data and training.

Preferably, in step S3, the tunnel light master control unit primarily adjusts the lighting fixtures in the tunnel, and then secondarily adjusts the transition area and the internal area in the tunnel by using the area light control unit according to the difference between the traffic flow and the vehicle speed.

Preferably, in step S6, the method for determining that the adjusted lighting fixture reaches the specified brightness is as follows:

step S61: initializing a system;

step S62: detecting the current lamplight brightness by a brightness detector in each area;

step S63: acquiring the brightness of light in the current area;

step S64: calculating a deviation between the set luminance value and the actual luminance;

step S65: controlling the lighting lamp to perform secondary regulation by using PWM through a PID operation method;

step S66: and if the illumination lamp after secondary adjustment still cannot reach the set brightness value, the remote monitoring terminal sends out a fault abnormal alarm.

The invention has the following beneficial effects:

(1) according to the invention, the tunnel is divided into four areas according to the light intensity in the tunnel, and each area is subjected to segmented control illumination, so that the condition that the traditional timer controls the tunnel illumination is avoided, the intelligent control of the tunnel illumination is improved, and the loss of power resources is reduced;

(2) according to the invention, the traffic flow prediction model is constructed through big data, the speed of the vehicle entering the tunnel is predicted, and intelligent illumination is adjusted according to the traffic flow and the speed, so that the intelligent degree of tunnel illumination is improved, and the vehicle overspeed and lamp failure can be reminded.

Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a tunnel lighting system based on the internet of things technology.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, the present invention is a tunnel lighting system based on internet of things, including:

the remote monitoring terminal comprises a traffic flow prediction model, a storage module, a fault abnormity alarm module and a wireless communication module;

the tunnel monitoring camera device and the lighting lamp are arranged at the top of the tunnel at equal intervals; an out-of-tunnel brightness detector is installed at the entrance of the tunnel; the tunnel consists of an entrance area, a transition area, an inner area and an exit area; the entrance area, the transition area, the internal area and the exit area are all provided with a tunnel light master control unit and a brightness detector; the tunnel light master control unit is connected with the lighting lamp; the transition area and the internal area are both provided with an area light control unit; the brightness detectors in the transition area and the internal area are connected with the lighting lamp through the area light control unit and the light drive in sequence;

a traffic flow detection module and a vehicle speed detection module are also arranged in the tunnel; the tunnel monitoring camera device, the tunnel light master control unit, the area light control unit, the traffic flow detection module, the vehicle speed detection module and the out-of-tunnel brightness detector are all connected with the remote monitoring terminal through a mobile communication network.

The remote monitoring terminal is communicated with a tunnel light master control unit of a tunnel monitoring site through a mobile communication network; the remote monitoring terminal is used for remotely inquiring the tunnel light state and remotely controlling the tunnel light state.

The tunnel light master control unit is used for detecting tunnel entrance brightness, vehicle speed and vehicle flow data in real time, generating brightness control commands of all segments in the tunnel, transmitting the brightness control commands to the next monitoring area through the ZigBee wireless network module, receiving a target brightness value sent by the previous stage in the next monitoring area, and outputting a PWM signal to control the lighting lamp.

The division algorithm of the entrance zone, the transition zone, the internal zone and the exit zone of the tunnel is as follows:

the luminance outside the hole measured by the luminance outside the hole detector is L_vThen the luminance at the entrance end of the tunnel is:

L_th＝kL_v(cd/m²)；

in the formula, k is an entrance end brightness conversion factor, and is 0.035;

brightness L at tunnel entrance end_thWhen the brightness is attenuated to 40%, the brightness enters a transition region, and the brightness L of the transition region_trThe calculation formula of (2) is as follows:

L_tr＝L_th(1.9+t)^-1.4(cd/m²)；

when the brightness L of the transition region_trWhen the attenuation reaches 2%, the liquid enters the inner area;

when the brightness L of the inner region_inRestore to the transition region luminance L_tr80% of the total amount of the organic solvent, and enters the outlet zone.

Wherein, the length calculation formula of the inlet area is as follows:

D_th＝1.154SSD-5.67(h-1.5)；

in the formula, SDD is the safe distance between two vehicles, and h is the entrance height of the tunnel.

The invention relates to a tunnel lighting control method based on the technology of the Internet of things, which comprises the following steps:

step S1: building a tunnel lighting network;

step S2: starting brightness detectors inside and outside the tunnel, detecting the brightness in the tunnel and dividing the area;

step S3: the remote monitoring terminal controls the tunnel light master control unit to adjust the brightness of the lighting lamps in each area;

step S4: the regional light control unit performs secondary adjustment on the lighting lamps in the transition region and the internal region;

step S5: detecting the traffic flow and the speed in the tunnel to calculate the distance between the vehicles, and sending an alarm by the remote monitoring terminal once the vehicles are overspeed or too close to the distance;

step S6: and when the regulated lighting lamp does not reach the specified brightness, the remote monitoring terminal sends out a fault abnormal alarm.

In step S1, a tunnel lighting network is built, and the devices in the tunnel are uploaded to the remote monitoring terminal through the mobile communication network; a traffic flow prediction model is arranged in the remote monitoring terminal; the traffic flow prediction model is obtained by acquiring a large amount of tunnel vehicle traffic data and training.

In step S3, the tunnel light master control unit primarily adjusts the lighting fixtures in the tunnel, and then secondarily adjusts the transition area and the interior area in the tunnel by using the area light control unit according to the difference between the traffic flow and the vehicle speed.

In step S6, the method for determining that the adjusted lighting fixture reaches the specified brightness is as follows:

step S61: initializing a system;

step S62: detecting the current lamplight brightness by a brightness detector in each area;

step S63: acquiring the brightness of light in the current area;

step S64: calculating a deviation between the set luminance value and the actual luminance;

step S65: controlling the lighting lamp to perform secondary regulation by using PWM through a PID operation method;

step S66: and if the illumination lamp after secondary adjustment still cannot reach the set brightness value, the remote monitoring terminal sends out a fault abnormal alarm.

It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.

In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.

The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.