CN117641644B - Intelligent on-demand illumination control system based on radar sensing - Google Patents

Abstract

The invention belongs to the technical field of illumination, and particularly relates to an intelligent on-demand illumination control system based on radar sensing, which comprises a radar sensor module and a single-lamp controller, wherein the radar sensor module and the single-lamp controller are arranged on a lamp post of each street lamp through an installation shell; the invention realizes that the luminance of the unmanned and unmanned vehicle is adjusted in advance, the light of the unmanned and unmanned vehicle is dimmed, and the advanced bright-light number can be automatically adjusted according to the driving speed by a scientific and reasonable software algorithm, and the illumination luminance of the whole road can be automatically adjusted according to the traffic flow of the roads in different time periods, thereby realizing the self-adaptive dynamic on-demand illumination energy-saving control purpose.

Description

An intelligent on-demand lighting control system based on radar sensing

Technical Field

The present invention belongs to the technical field of lighting, and in particular relates to an intelligent on-demand lighting control system based on radar sensing.

Background Art

With the promotion of smart city construction, more and more cities are constantly updating and renovating smart street lamps. In areas where intelligent single-lamp lighting control systems are installed, street lamps are dimmed according to different time periods to reduce energy consumption. However, this is only a timed regulation and cannot achieve adaptive dynamic dimming at different times on different roads according to pedestrian and vehicle flows. Especially for the lighting of low-traffic sections in the second half of the night, precise regulation is needed to reduce energy waste.

Therefore, in recent years, attempts have been made to use radar as a road lighting sensor to implement dimming control. However, due to the complexity of the environment of urban roads in different seasons, different climates, different road conditions and different application scenarios (such as rain, fog, mosquitoes, and wind and grass), if radar is used as a sensor to obtain real-time dynamic information on the urban road surface (pedestrians/vehicles) for energy-saving control of street lamps, there are two major problems:

First, to achieve accurate pedestrian/vehicle information detection by radar and filter out false alarm information of non-pedestrian/vehicle on the road surface, high-performance configuration of hardware equipment and components is required, which directly leads to excessively high equipment costs. The investment in hardware equipment cannot be proportional to the benefits of energy saving and cannot be popularized in the market.

Second, the traditional smart street light single-lamp controller in the existing technology does not have fast-rate (millisecond-level) communication transmission, and cannot quickly transmit the street light radar sensor signal to the multiple lamp poles in front of the vehicle to realize early lighting. In addition, since the existing traditional smart street light single-lamp controller does not have edge computing function, it is impossible to perform information edge computing processing based on the pedestrian/vehicle information status obtained by the radar (such as driving speed, vehicle flow and pedestrian flow, etc.), and autonomously adjust the lighting dimming control strategy.

Summary of the invention

Based on the problems mentioned in the above background technology, the present invention provides an intelligent on-demand lighting control system based on radar sensing.

The technical solution adopted by the present invention is as follows: an intelligent on-demand lighting control system based on radar sensing, including a radar sensor module and a single-lamp controller, wherein the radar sensor module and the single-lamp controller are arranged on the lamp pole or the lamp of each street lamp; the radar sensor module transmits a signal through a transmitting antenna to collect road surface related motion information, and receives a time delay signal through a receiving antenna, mixes the time delay signal with the transmitting signal to generate an intermediate frequency signal containing road surface related motion information, and after the intermediate frequency signal is converted into a digital signal, the speed information in the motion information is output to the single-lamp controller through detection frequency analysis; a street lamp is designated as a master street lamp, and the single-lamp controller is used to receive and process the information obtained by the corresponding radar, and control the master street lamp to illuminate within the continuous lighting time, and at the same time send a lighting request to the single-lamp controller of the controlled street lamp located in the driving direction of the road surface related motion information, wherein the lighting request includes the identification of the master street lamp, the identification of the controlled street lamp and the continuous lighting time.

Further, the delay signal s_t=exp(2*pi*f*(t-tao)) is mixed with the transmission signal s_r=exp(2*pi*f*t) to obtain the intermediate frequency signal:

s＝exp(-2*pi*f*tao)＝exp(-2*pi*f*(2*(R-Vt)/c))＝exp(-2*pi*f*(2*(R-Vt/2)/c))＝exp(-2*pi*f*(2*(R-Vt/2)/c))＝exp(2*pi*(f*V/c)*t-4*pi*f*R/c), where f is frequency, t is time, pi is pi, R is the initial distance from the radar to the target, V is acceleration, and c is the speed of light.

Further, the digital signal s(n)=epx(2*PI*f*n/m)(n=1,...,m) is filtered to obtain

Written in matrix form 1

Convert the matrix form 1 calculation process into a circular convolution

Constructing a new sequence

S1＝[s(1),…,s(m),0,…,0];

S2＝[0,…0,s(1),…,s(m)];

That is, m zeros are added to the back of the original data to construct S1, and m zeros are added to the front of the original data to construct S2; after circular convolution of S1 and S2, y can be obtained;

Calculation process:

1: Perform 2048-point FFT on s1 sequence to get S1; 2: Perform 2048-point FFT on s2 sequence to get S2; 3: Multiply S1 by S2 conjugate to get S3; 4: Perform 2048-point IFFT on S3 to get s; 5: Take s(512)…s(1024) to get y; 6: Perform FFT on y to get the spectrum s(w); 7: Search for the maximum value of s(w) and use CFAR detection to identify motion information.

Furthermore, the speed information is used to obtain the Doppler frequency F through the sampling period T, where F=f*V'/c, and the speed V'=F*c/f.

Furthermore, the master control street lamp increases the lighting brightness during the continuous lighting time, and obtains the minimum time for continuous lighting adjustment according to the speed information and the lamp distance: assuming that the continuous lighting adjustment time is T0, then: T0≥d/V', where d is the lamp distance, d＝t_dc/2.

Furthermore, the single-lamp controller on the master street lamp sends a lighting adjustment or turn-on request to the n consecutive controlled street lamps located in front of the motion information, specifically including: obtaining the corresponding identification of the n consecutive controlled street lamps located in front of the motion information of the master street lamp; forming a request data packet with the identification corresponding to each controlled street lamp, the identification of the master street lamp and the continuous lighting adjustment time; sending the request data packet to the single-lamp controller of the controlled street lamp; wherein n>3.

Furthermore, the single-lamp controller on the master street lamp controls the controlled street lamps behind the motion information to be brightened, and the number of controlled street lamps is m, then the continuous lighting brightening time T satisfies T=m*T0, m≥1.

Furthermore, the street lamp is powered by a digital power supply UART. After receiving the motion information, the single lamp controller controls the digital power supply UART to power the street lamp to adjust the brightness of the street lamp and control the switch of the lamp.

Beneficial effects of the present invention:

Through radar sensors, accurate data on the dynamic movement of people and vehicles on the road is obtained from urban road lighting lamps. The single lamp controller implements a reasonable street lamp dimming control strategy to achieve early brightness when there are people and cars, and immediate dimming of lights when there are no people and cars. At the same time, it can automatically adjust the number of lights that are turned on in advance and the length of delayed lighting according to the driving speed. The traffic flow radar sensor can detect road traffic flow data to automatically adjust the lighting brightness of the entire road according to the road traffic flow at different times, thereby achieving the purpose of self-adaptive dynamic on-demand lighting energy-saving control.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention can be further illustrated by means of non-limiting examples given in the accompanying drawings;

FIG1 is a flow chart of the operation of a radar sensor module according to the present invention;

FIG2 is a schematic diagram of the application of the radar, single light controller and concentrator of the present invention;

FIG3 is a circuit diagram of a main control unit of a single lamp controller according to the present invention;

FIG4 is a diagram of a communication interface between a single light controller and a radar sensor module of the present invention;

FIG5 is a diagram of a UART communication interface between a single lamp controller and a digital power supply of the present invention;

FIG6 is a circuit diagram of a digital power supply UART power supply and communication application of the present invention;

FIG7 is a master-slave single-line UART communication circuit diagram of a single-lamp controller of the present invention;

FIG8 is a schematic diagram of the application of on-demand road lighting according to the present invention;

FIG9 is a schematic diagram of the structure of a lighting system controlled by a single lamp controller according to the present invention;

DETAILED DESCRIPTION

In order to facilitate the understanding of those skilled in the art, the present invention is further described below in conjunction with embodiments and drawings. The contents mentioned in the implementation modes are not intended to limit the present invention.

The road surface related motion information described below includes both sidewalks and roadways, and the moving body describes both cars and people, so as to achieve the effect of separately controlling the lighting of sidewalks and roadways: For the convenience of description, the default dimming process of the master street lamp and the controlled street lamp is that the radar sensor module receives the motion information and transmits it to the corresponding single lamp controller with edge computing, which controls the digital drive power supply to power the street lamp to realize the street lamp lighting brightness adjustment and switch lamp control.

As shown in Figures 8-9, an intelligent on-demand lighting control system based on radar sensing includes a radar sensor module and a single-lamp controller. The radar sensor module and the single-lamp controller are arranged on the lamp pole or lamp of each street lamp. One street lamp is a master street lamp. The single-lamp controller is used to receive and process the information obtained by the corresponding radar. According to the information, the single-lamp controller controls the master street lamp to increase the lighting brightness during the continuous lighting time, and at the same time sends a lighting request to the single-lamp controller of the controlled street lamp located in the driving direction of the road surface related motion information. The lighting request includes the identification of the master street lamp, the identification of the controlled street lamp and the continuous lighting adjustment time.

As shown in Figure 3, the single-lamp controller simultaneously obtains the movement information data such as the driving direction and speed of the road person/vehicle sent by the radar sensor, automatically calculates how many lights should be sent to the pedestrian/vehicle in front to turn on or brighten the lights, and automatically calculates the delay time to dim or turn off the lights after the person/vehicle passes. The single-lamp controller of the controlled street lamp receives the lighting switch or light-up request, and responds immediately and quickly (within 200ms) to turn on or brighten the lights:

For example, when the street light controller No. 5 detects a vehicle dynamic signal from the radar sensor module, it immediately sets its own street light to the bright state, and at the same time sends a command in the form of broadcast to brighten the five lights 6, 7, 8, 9, and 10 in front of the vehicle. After a period of time (configurable time), if no new command is received, the lamp will automatically change to a dimmed state. If a new command is received again during the lighting period, the duration will be reset and recalculated. The purpose of dynamic automatic control of lighting on demand is achieved, with the lights turning on when a car approaches and dimming when a car leaves, achieving a deep energy-saving effect.

After obtaining the relevant movement information of the road surface, the street lights within the travel range can be turned on to provide lighting, and the corresponding street lights can be controlled to illuminate within a certain sight range in front of people and vehicles to ensure safety. In places where there is no driving or sight range, no lighting or lower lighting brightness can be provided, thereby achieving energy saving. At the same time, the number of lights that are turned on in advance can be automatically adjusted according to the driving speed, and the lighting brightness of the entire road can be automatically adjusted according to the road traffic flow at different times, achieving the purpose of self-adaptive dynamic on-demand lighting energy-saving control.

In this embodiment:

Lamp poles are provided with radar sensor modules and single-lamp controllers on both sides of the carriageway and the sidewalk, so that the radar sensor modules can collect movement information of the sidewalk and the carriageway respectively. In this embodiment, the radar sensor module adopts millimeter-wave radar or microwave radar, and both are equipped with MCU chips with edge computing functions. DC power supply is realized through a digital driving power supply. The advantage is that there is no AC power in the cavity of the single-lamp control device, and there is no interference with the communication signal. The device is small in size, beautiful in appearance, light in weight, low in interference and high in spatial resolution. It can directly measure distance and speed information and detect the inclination angle of the lamp pole. The radar sensor module transmits information with the single-lamp control module through communication methods such as RS485, TTL or IOI.

The single-lamp controller is a single-lamp control module with edge computing, which can be used as both a master controller and a slave. The single-lamp controller has a variety of communication interfaces (RS485\TTL\IOI), and can receive, forward and calculate data signals from radar and other sensors.

As shown in Figures 1 and 4, the radar sensor module transmits a signal through a transmitting antenna to collect road surface related motion information, and receives a time delay signal through a receiving antenna, mixes the time delay signal with the transmitting signal to generate an intermediate frequency signal containing road surface related motion information, and after the intermediate frequency signal is converted into a digital signal, the speed information in the motion information is output to the single light controller through detection frequency analysis;

The unique algorithm of mixing and detecting frequency analysis can solve the high cost problem of radar for street light control and the stability problem of false alarm signal.

As a preferred solution, the delay signal s_t=exp(2*pi*f*(t-tao)) is mixed with the transmission signal s_r=exp(2*pi*f*t) to obtain the intermediate frequency signal

s＝exp(-2*pi*f*tao)＝exp(-2*pi*f*(2*(R-Vt)/c))＝exp(-2*pi*f*(2*(R-Vt/2)/c))＝exp(-2*pi*f*(2*(R-Vt/2)/c))＝exp(2*pi*(f*V/c)*t-4*pi*f*R/c), where f is frequency, t is time, pi is pi, R is the initial distance from the radar to the target, V is acceleration, and c is the speed of light.

The mixed signal s=exp(2*pi*(f*V/c)*t-4*pi*f*R/c) is quantized and converted into a digital signal s(n) by ADC.

As a preferred solution, the digital signal s(n)=epx(2*PI*f*n/m)(n=1,...,m) is filtered to obtain

Written in matrix form1

Analyze the first

The noise is in the white noise background, and the signal-to-noise ratio is improved times, when m = 1024, the signal-to-noise ratio is increased by 30.1dB, which greatly increases the detection distance of the radar; in order to improve the real-time performance of the calculation, the calculation process of matrix form 1 is converted into circular convolution

Constructing a new sequence

S1＝[s(1),…,s(m),0,…,0];

S2＝[0,…0,s(1),…,s(m)];

That is, m zeros are added to the back of the original data to construct S1, and m zeros are added to the front of the original data to construct S2; after circular convolution of S1 and S2, y can be obtained;

Calculation process:

1: Perform 2048-point FFT on s1 sequence to get S1; 2: Perform 2048-point FFT on s2 sequence to get S2; 3: Multiply S1 by S2 conjugate to get S3; 4: Perform 2048-point IFFT on S3 to get s; 5: Take s(512)…s(1024) to get y; 6: Perform FFT on y to get the spectrum s(w); 7: Search for the maximum value of s(w) and use CFAR detection to identify motion information.

Through scientific algorithm design, the signal-to-noise ratio is effectively improved, the stability of the radar sensor module is ensured, the problem of false alarm information is effectively reduced, the impact of noise on the signal is reduced, the measurement results are more accurate, and the detection accuracy of the radar sensor module is improved.

As a preferred solution, the speed information is used to obtain the Doppler frequency F through a sampling period T, where F = f*V'/c, and the speed V' = F*c/f.

As a preferred solution, the master street lamp increases the lighting brightness during the continuous lighting time, and obtains the minimum time for continuous lighting adjustment according to the speed information and the lamp distance: assuming that the continuous lighting adjustment time is T0, then: T0≥d/V', where d is the lamp distance, d＝t_dc/2. T0 is only the minimum lighting time in theory. When it is actually applied to road traffic, the lighting time is best configured and set to improve the overall applicability.

As a preferred solution, the single-lamp controller on the master street lamp sends a lighting dimming or turning-on request to the n consecutive controlled street lamps located in front of the motion information, specifically including: obtaining the corresponding identifications of the n consecutive controlled street lamps located in front of the motion information of the master street lamp; forming a request data packet by combining the identification corresponding to each controlled street lamp with the identification of the master street lamp and the continuous lighting dimming time; and sending the request data packet to the single-lamp controller of the controlled street lamp; wherein n>3.

The most important driving parameter of a vehicle is its speed. The distance between street lamps determines the distance of continuous lighting. Therefore, the distance range of street lamp lighting plays a key role in ensuring the safe driving of vehicles at a certain speed. Generally speaking, the distance between street lamps on a certain section of road is constant, so the distance of continuous lighting street lamps is related to the number of street lamps. At least, the faster the speed, the better the number of continuous lighting street lamps should be. The specific setting number can be adjusted according to local traffic conditions.

As a preferred solution, the single-lamp controller on the main control street lamp controls the controlled street lamps behind the motion information to be brightened. The number of controlled street lamps is m, and the continuous lighting brightening time T satisfies T=m*T0, m≥1.

When considering the driving conditions, sometimes the driver needs to observe the rear situation through the reflector or rearview mirror, so it is best to provide at least one street lamp behind the vehicle for lighting; at the same time, the sidewalk is set up in this way also considering the slower walking speed of pedestrians, providing better lighting safety for pedestrians.

In summary, when a moving object enters the detection range, in addition to the main control street lamp and the two controlled street lamps at the rear, which need to be brightened, the controlled street lamp in front will illuminate according to the preset continuous lighting time after receiving the request, and will return to the initial state (off or dimmed state) after the time is up, while the main control street lamp and the controlled street lamp at the rear are not affected by the continuous lighting time. The corresponding main control street lamp and the controlled street lamp at the rear must remain on at the position of the moving object.

For example, when the vehicle is currently located at the second street light, a street light behind the vehicle needs to be turned on. When the vehicle is located at the third street light, the first street light needs to be dimmed or turned off, and the second street light needs to be brightened.

It should be noted that when the vehicle travels from the current master street light to the next controlled street light, the controlled street light can also detect the vehicle's driving parameters. At this time, the next controlled street light becomes the master street light. When the speed does not change significantly, the controlled street light in front of the vehicle also needs to be lit. At this time, if the controlled street light in front of the vehicle is already in the lit state, after receiving the command again, the duration is reset and the duration of the adjustment is recalculated; the street light behind is no longer a controlled street light, and if the command is not received, it will be restored to the initial state.

As shown in Figure 2, after adding the setting of the concentrator, the dimming of the entire road following the traffic flow can be achieved. The specific process can be as follows: the single-lamp controller located at the main control street lamp receives the real-time uploaded signal of the radar sensor during operation to the concentrator, and the concentrator sends a dimming instruction to the single-lamp controller of the entire road in the set area to automatically adjust the brightness of the lights.

In addition to the HPLC broadband carrier communication mentioned in Figure 2, other control communication methods can also be adapted, such as Wi-sun, and other wireless communication methods and RS485 wired communication methods, which can at least broadcast to the controlled street lights within a range of hundreds of meters or kilometers, and can achieve millisecond-level real-time transmission control.

As a preferred solution, the street lamp is powered by a digital power supply UART. After receiving the motion information, the single lamp controller controls the digital power supply UART to realize the street lamp lighting brightness adjustment and switch lamp control.

As shown in Figure 6-7, the digital drive power supply and the single lamp controller perform DC power supply and master-slave single-line bidirectional UART communication. As shown in Figure 5, the single lamp control module can obtain the power supply electrical parameter data from the digital power supply, and can also send the digital power supply switch light and dimming instructions; at the same time, as shown in Figure 4-5, the communication interface can also access the control signal of a radar sensor module. The communication between the radar sensor module and the single lamp controller adopts TTL, IOI and RS485 communication and other communication methods for dimming communication. After receiving the radar information, the single lamp controller communicates with the digital drive power supply through the master-slave single-line UART to perform 0-10V dimming control of the street lamp module or turn off the light to achieve street lamp lighting adjustment. The digital drive power supply has a high degree of flexibility and programmability. Users can adjust the output current as needed to change the brightness of the LED lamp.

The present invention has been described in detail above. The description of the specific embodiments is only used to help understand the method of the present invention and its core concept. It should be pointed out that for ordinary technicians in this technical field, without departing from the principle of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims (5)

1. An intelligent on-demand lighting control system based on radar sensing, characterized in that: it includes a radar sensor module and a single lamp controller, wherein the radar sensor module and the single lamp controller are arranged on the lamp pole or lamp of each street lamp; The radar sensor module transmits a signal through a transmitting antenna to collect road surface related motion information, and receives a time delay signal through a receiving antenna, mixes the time delay signal with the transmitting signal to generate an intermediate frequency signal containing road surface related motion information, and after the intermediate frequency signal is converted into a digital signal, the speed information in the motion information is output to the single lamp controller through detection frequency analysis; A street lamp is a master street lamp, and the single lamp controller is used to receive and process the information obtained by the corresponding radar sensor module, and control the master street lamp to illuminate within the continuous lighting time, and at the same time send a lighting request to the single lamp controller of the controlled street lamp located in the driving direction of the road surface related motion information, wherein the lighting request includes the identification of the master street lamp, the identification of the controlled street lamp and the continuous lighting time; The delay signal s_t=exp(2*pi*f*(t-tao)) is mixed with the transmission signal s_r=exp(2*pi*f*t) to obtain the intermediate frequency signal: s＝exp(-2*pi*f*tao)＝exp(-2*pi*f*(2*(R-Vt)/c))＝exp(-2*pi*f*(2*(R-Vt/2)/c))＝exp(-2*pi*f*(2*(R-Vt/2)/c))＝exp(2*pi*(f*V/c)*t-4*pi*f*R/c); where f is frequency, t is time, pi is pi, R is the initial distance from the radar sensor module to the target, V is acceleration, and c is the speed of light; The digital signal s(n)=epx(2*PI*f*n/m)(n=1,...,m) is filtered to obtain Written in matrix form1 Convert the matrix form 1 calculation process into a circular convolution Constructing a new sequence S1＝[s(1),…,s(m),0,…,0]; S2＝[0,…0,s(1),…,s(m)]; That is, m zeros are added to the end of the original data to construct S1, and m zeros are added to the front of the original data to construct S2; After circular convolution of S1 and S2, y can be obtained; Calculation process: 1: Perform 2048-point FFT on the s1 sequence to obtain S1; 2: Perform 2048-point FFT on the s2 sequence to obtain S2; 3: S1 is dot-multiplied by S2 conjugate to get S3; 4: S3 performs 2048-point IFFT to obtain s; 5: Take s(512)…s(1024) to get y; 6: Perform FFT on y to obtain the spectrum s(w); 7: Search for the maximum value of s(w) and use CFAR detection to identify motion information; The speed information is obtained by sampling period T to obtain Doppler frequency F, F = f*V ^' /c, then speed V ^' = F*c/f; The master street lamp increases the lighting brightness during the continuous lighting time, and obtains the minimum time for continuous lighting adjustment according to the speed information and the lamp distance: assuming that the continuous lighting adjustment time is T0, then: T0≥d/V ^' , where d is the lamp distance. 2. An intelligent on-demand lighting control system based on radar sensing according to claim 1, characterized in that: the lamp distance d = t_dc/2. 3. According to claim 2, a radar-sensing-based intelligent on-demand lighting control system is characterized in that: the single-lamp controller on the master street lamp sends a lighting adjustment or light-on request to the n consecutive controlled street lamps located in front of the moving information, specifically including: Obtain the movement information of the master street lamp and the corresponding identifications of the n consecutive controlled street lamps ahead; The identification corresponding to each controlled street lamp, the identification of the master street lamp and the continuous lighting adjustment time form a request data packet; Sending a request data packet to a single lamp controller of a controlled street lamp; Where n>3. 4. According to claim 3, an intelligent on-demand lighting control system based on radar sensing is characterized in that: the single-lamp controller on the main control street lamp controls the controlled street lamps behind the motion information to brighten, and the number of controlled street lamps is m, then the continuous lighting brightening time T satisfies T=m*T0, m≥1. 5. An intelligent on-demand lighting control system based on radar sensing according to claim 1 or 4, characterized in that: the street lamp is powered by a digital power supply UART, and after the single lamp controller receives motion information, it controls the digital power supply UART to realize street lamp lighting brightness adjustment and switch lamp control.