CN105934042A - LED street lamp intelligent controller and control method - Google Patents

LED street lamp intelligent controller and control method Download PDF

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Publication number
CN105934042A
CN105934042A CN201610472357.9A CN201610472357A CN105934042A CN 105934042 A CN105934042 A CN 105934042A CN 201610472357 A CN201610472357 A CN 201610472357A CN 105934042 A CN105934042 A CN 105934042A
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street lamp
led street
intensity
light exposure
led
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林海军
赖小强
兰浩
杨进宝
彭可
李仲阳
杨艳华
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Hunan Normal University
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Hunan Normal University
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    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B45/00Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10Controlling the intensity of the light

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Abstract

The invention discloses an LED street lamp intelligent controller and control method. The LED street lamp intelligent controller comprises a power source, a photosensitive sensor, a sampling circuit, a signal conditioning circuit, an A/D conversion circuit, a microprocessor, a driver, an LED street lamp power source and an LED street lamp; the photosensitive sensor, the sampling circuit, the signal conditioning circuit, the A/D conversion circuit and the microprocessor form a natural illumination measurement system; the microprocessor, the driver, the LED street lamp power source and the LED street lamp form an LED street lamp driving circuit. Compared with the prior art, the intelligent controller disclosed by the invention has the following advantages: the LED street lamp light intensity can be automatically regulated according to the natural illumination intensity feature at nightfall, the natural light is sufficiently utilized, and the energy consumption of the LED street lamp is lowered in the premise of unchanging the entire illumination intensity (namely, the summation of LED street lamp illumination and natural illumination).

Description

A kind of LED street lamp intelligent controller and control method
Technical field
The invention belongs to street lamp, be specifically related to a kind of LED road lamp controller and control method.
Technical background
At present, LED street lamp is applied widely in the fields such as roadway illumination, city lighting engineering, Its control mode is mostly and is divided into Artificial Control or timing controlled two class.Both control modes are simple, but There is open defect: the light of LED street lamp can not be automatically adjusted according to weather condition or extraneous natural light situation According to intensity, thus cause waste of energy.For solving this problem, many scholars and engineer have been carried out greatly Quantifier elimination works, it is intended to reduce the energy consumption of LED street lamp.Chen Xiaoyan etc. utilize GPRS and ZigBee Devise a kind of LED street lamp intelligent monitor system (" LED street lamp based on GPRS Yu ZigBee intelligence Control System Design ", Chen Xiaoyan, Gao Wei, Qin Huan, " electronic measurement technique ", and in October, 2013), Lee Lotus etc. utilize fuzzy control method devise three grades of energy-saving control methods of LED street lamp (total power, half-power, Contract fully) (" theoretical research of LED street lamp control system based on fuzzy control ", Li Lian, Li Li " shine Bright engineering journal ", in April, 2012), Liu Chunling etc. utilizes LED drive chip HV9910 to devise LED street lamp self adaptation light adjusting circuit (" LED street lamp self adaptation light modulation wireless controller ", Liu Chunling, king The road universe, Cui Wenchong, " Liaoning Project Technology University's journal " (natural science edition), in January, 2015).These Method can reduce LED energy consumption to a certain extent, but control mode is excessively simple, and energy-saving effect needs Improve further.
Summary of the invention
It is an object of the invention to overcome deficiency of the prior art, it is provided that a kind of LED road lamp controller and Control method, the feature that slowly can die down according to natural lighting intensity at dusk, control LED adaptively Street lamp illumination gradually becomes strong, compensates global illumination intensity, keeps global illumination intensity constant, makes full use of Natural light, to reach energy-conservation purpose.
The purpose of the present invention is achieved by following technical proposals:
The LED road lamp controller that the present invention provides, including power supply, light sensor, sample circuit, letter Number modulate circuit, analog to digital conversion circuit, microprocessor, driver, LED streetlamp power source and LED street lamp; Described light sensor, sample circuit, signal conditioning circuit, analog to digital conversion circuit, microprocessor are constituted System is measured in natural lighting, and described microprocessor, driver, LED streetlamp power source and LED street lamp are constituted LED street lamp drive system;Light sensor is for detecting the intensity of illumination of extraneous natural light, by sample circuit The intensity of illumination of natural light is converted to sampling voltage;Sampling voltage is input at signal conditioning circuit amplification Transmit after reason to analog to digital conversion circuit, analog voltage signal be converted to digital data transmission to microprocessor, Obtain the digital information of nature intensity of illumination;Microprocessor produces according to the digital information of natural lighting intensity The pulse-width signal of distinct pulse widths, and this pwm signal is transferred to driver;By driver control one The time length that in the individual cycle, LED power effectively exports, thus control the electric current output size of LED power; Size, the luminous intensity of regulation LED street lamp is exported by the electric current of LED power.
The LED street lamp control method that the present invention provides, comprises the following steps:
One, utilize natural lighting to measure system and complete the measurement of natural environment intensity of illumination, it is thus achieved that natural lighting is strong Degree;
Two, the global illumination intensity of setting and the difference of natural lighting intensity are obtained;
Three, for input, light exposure measurement inversion model is utilized with the difference of intensity of illumination and natural lighting intensity after compensating, Obtain the controlled quentity controlled variable of LED street lamp driver;
Four, LED street lamp driver is under the effect of controlled quentity controlled variable, completes LED street lamp driving, luminescence, now The luminous quantity of LED street lamp i.e. can compensate for nature light.
Described step 2 is to utilize MATLAB software and data sample (lxi, ui), and sample magnitude calculates Method, builds light exposure measurement model lx=f1=g (u) also realizes the nonlinear error compensation of light exposure measurement system, Build light exposure measurement inversion model u=f simultaneously2=f (lx), utilizes the data sample gathered to light exposure measurement inversion model It is trained, it is thus achieved that the parameter of light exposure measurement inversion model;Utilize the data sample gathered to light exposure measurement mould Type is trained, it is thus achieved that the parameter of light exposure measurement model, and completes to input between (u) and output (lx) Nonlinear error compensation, step is as follows:
1) according to the variation tendency of data sample (lxi, ui), with lx=f1=a0+a1u+a2u2+a3u3+a4u4+a5u5 And u=f2=b0+b1lx+b2lx2+b3lx3+b4lx4+b5lx5For kernel function, approach light exposure measurement model and light respectively According to measuring inversion model, wherein, a0,…,a5, b0,…,b5It is respectively light exposure measurement model and light exposure measurement against mould The coefficient of type;
2) MATLAB software and data sample (lxi, ui) are utilized, method of least square of sampling, solve and be Number a0,…,a5, b0,…,b5
3) light exposure measurement system is utilized, it is thus achieved that sampled voltage u, by sampled voltage u and parameter a0,…,a5 Substitute into function f1(i.e. light exposure measurement model), tries to achieve natural lighting intensity lx;
4) the global illumination intensity of setting and the difference Δ lx of natural lighting intensity are obtained;
The controlled quentity controlled variable of described step 3, obtains according to following steps;
1) the difference Δ lx of intensity of illumination is input, by Δ lx and parameter b0,…,b5Substitute into function f2, it is thus achieved that light According to the output voltage u measuring inversion model;
2) input variable controlled for LED street lamp drive system with light exposure measurement inversion model output voltage u, By the PWM function of microprocessor, completing the control of LED street lamp drive system, its control algolithm is such as Under:
z P W M ( u ) = 0 , L N &GreaterEqual; L a u C m a x &times; F F F F H , L b < L N < L a F F F F H , L N &le; L b - - - ( 1 )
In formula (1), zPWMU () is the controlled quentity controlled variable of LED street lamp drive system, CmaxMaximum for LED Controlled quentity controlled variable (here, CmaxReference voltage for analog-digital converter), LNFor current natural lighting intensity, LaFor starting the threshold value of LED Self Adaptive Control;LbFor closing the threshold value of LED Self Adaptive Control, La、Lb Value can be configured with requirement according to LED street lamp applied environment, here, La、LbValue be set to La=0.9LNAVE, Lb=0.1LNAVE, wherein, LNAVEAverage intensity of illumination for the 16:00-17:00 time-division.
Compared with the prior art the present invention has the advantage that energy basis natural lighting strength characteristic at dusk, It is automatically adjusted LED street lamp intensity of illumination, makes full use of nature light, ensure global illumination intensity (i.e. LED Street lamp illumination and natural lighting sum) constant on the premise of, reduce the energy consumption of LED street lamp.
Describe technical scheme below in conjunction with the accompanying drawings in detail.
Accompanying drawing explanation
Fig. 1 is the LED road lamp controller schematic block circuit diagram of the present invention.
Fig. 2 is LED street lamp intensity of illumination control principle block diagram.
Fig. 3 is the flow chart that light exposure measurement inversion model builds.
Fig. 4 is the flow chart of light exposure measurement model construction.
Detailed description of the invention:
See Fig. 1, Fig. 2, the LED road lamp controller that the present invention provides, including power supply, light sensor, Sample circuit, signal conditioning circuit, analog to digital conversion circuit, microprocessor, driver, LED streetlamp power source And LED street lamp;Described light sensor, sample circuit, signal conditioning circuit, analog to digital conversion circuit, Microprocessor constitute natural lighting measure system, described microprocessor, driver, LED streetlamp power source and LED street lamp constitutes LED street lamp drive system;Light sensor is used for detecting the intensity of illumination of extraneous natural light, By wire, light sensor is in parallel with the sample resistance of sample circuit, by sample circuit by natural light Intensity of illumination is converted to sampling voltage;After sampling voltage is input to signal conditioning circuit processing and amplifying, pass Transporting to analog to digital conversion circuit, analog voltage signal is converted to digital signal, transmission, to microprocessor, obtains Obtain the digital information of nature light intensity of illumination;Utilize storage LED street lamp light intensity in the microprocessor automatic Control program, according to the illumination intensity information of external world's nature light, produces the pulse-width signal of distinct pulse widths (pwm signal), by the I/O output pin of microprocessor, output pwm signal;And this PWM is believed Number it is transferred to driver, controls the time length that LED power in a cycle effectively exports, thus control The electric current output size of LED power;LED power is directly connected in LED street lamp, by the electricity of LED power Stream output size, the luminous intensity of regulation LED street lamp.
In the present embodiment, light sensor uses photoconductive resistance, and microprocessor uses High Performance SCM STM32F103, analog to digital conversion circuit uses the analog-digital converter within STM32F103, LED street lamp Driver uses existing special driving chip.
The LED street lamp control method that the present invention provides, is embodied as step as follows:
One, utilize natural lighting to measure system and complete the measurement of natural environment intensity of illumination, it is thus achieved that natural lighting is strong Degree:
Utilize light exposure measurement system, intensity of illumination instrument etc., gather (17:00-19:00) at dusk and do not share the same light According to the natural lighting intensity under intensity lxi and sampled voltage ui, the sampling interval is 1 minute, it is thus achieved that illumination is surveyed The data sample (lxi, ui) that amount model models with light exposure measurement inversion model;
Two, the global illumination intensity (i.e. intensity of illumination after the compensation of previous moment) of setting and natural light are obtained Difference according to intensity:
Utilize MATLAB software and data sample (lxi, ui), method of least square (neutral net of sampling The numerical computation methods such as method), build light exposure measurement model lx=f1=g (u) also realizes light exposure measurement system Nonlinear error compensation, builds light exposure measurement inversion model u=f simultaneously2=f (lx), utilizes the data sample gathered Light exposure measurement inversion model is trained, it is thus achieved that the parameter of light exposure measurement inversion model;Utilize the data gathered Light exposure measurement model is trained by sample, it is thus achieved that the parameter of light exposure measurement model, and completes to input (u) And nonlinear error compensation between output (lx), step is following (seeing Fig. 3, Fig. 4):
1) according to the variation tendency of data sample (lxi, ui), experiment finds, 5 order polynomial function approach The best results of data sample variation tendency, i.e. with lx=f1=a0+a1u+a2u2+a3u3+a4u4+a5u5With U=f2=b0+b1lx+b2lx2+b3lx3+b4lx4+b5lx5For kernel function, approach light exposure measurement model and illumination respectively Measure inversion model, wherein, a0,…,a5, b0,…,b5It is respectively light exposure measurement model and light exposure measurement inversion model Coefficient;
2) MATLAB software and data sample (lxi, ui) are utilized, method of least square of sampling, solve and be Number a0,…,a5, b0,…,b5, it is respectively as follows: a5=-20.6191, a4=183.4261, a3=-378.1520, a2=349.4903, a1=-51.9688, a0=4.3549, b5=0.00000000000006, b4=-0.00000000015297, b3=0.00000014177281, b2=-0.00006323866030, b1=0.01513490628348, b0=0.08326819589297. i.e., Lx=f1=4.3549-51.9688u+349.4903u2-378.1520u3+183.4261u4-20.6191u5, U=f2=0.08326819589297+0.01513490628348lx+-0.00006323866030lx2+0.00000 014177281lx3-0.00000000015297lx4+0.00000000000006lx5
The parameter of light exposure measurement inversion model is preserved in the microprocessor, prepares for On-line Control;
3) actual when working online, utilize light exposure measurement system, it is thus achieved that sampled voltage u, by sampled voltage U and parameter a0,…,a5Substitute into function f1(i.e. light exposure measurement model), tries to achieve natural lighting intensity lx;
4) the global illumination intensity (i.e. intensity of illumination after the compensation of previous moment) of setting and natural light are obtained Difference Δ lx according to intensity;
Three, for input, light exposure measurement inversion model is utilized with the difference of intensity of illumination and natural lighting intensity after compensating, Obtain the controlled quentity controlled variable of LED street lamp driver;
1) the difference Δ lx of intensity of illumination is input, by Δ lx and parameter b0,…,b5Substitute into function f2(i.e. illumination Measure inversion model), it is thus achieved that the output voltage u of light exposure measurement inversion model;
2) input variable controlled for LED street lamp drive system with light exposure measurement inversion model output voltage u, By the PWM function of microprocessor STM32F103, complete the control of LED street lamp drive system, Its control algolithm is as follows:
z P W M ( u ) = 0 , L N &GreaterEqual; L a u C m a x &times; F F F F H , L b < L N < L a F F F F H , L N &le; L b - - - ( 1 )
In formula, zPWMU () is the controlled quentity controlled variable of LED street lamp drive system, CmaxMaximum control for LED Amount (here, CmaxFor the reference voltage of STM32F103 internal mode number converter, i.e. Cmax=2.5V), LNFor current natural lighting intensity, LaFor starting the threshold value of LED Self Adaptive Control;LbFor closing LED The threshold value of Self Adaptive Control.La、LbValue can be configured with requirement according to LED street lamp applied environment. Here, La、LbValue be set to La=0.9LNAVE, Lb=0.1LNAVE, wherein, LNAVEFor 16:00-17:00 The average intensity of illumination of time-division;
Four, LED street lamp driver is under the effect of controlled quentity controlled variable, completes LED street lamp driving, luminescence, now The luminous quantity of LED street lamp i.e. can compensate for nature light.

Claims (4)

1. a LED street lamp intelligent controller, is characterized in that including power supply, light sensor, sample circuit, signal conditioning circuit, analog to digital conversion circuit, microprocessor, driver, LED streetlamp power source and LED street lamp;Described light sensor, sample circuit, signal conditioning circuit, analog to digital conversion circuit, microprocessor constitute natural lighting and measure system, and described microprocessor, driver, LED streetlamp power source and LED street lamp constitute LED street lamp drive system;The intensity of illumination of natural light, for detecting the intensity of illumination of extraneous natural light, is converted to sampling voltage by sample circuit by light sensor;Sampling voltage is transmitted after being input to signal conditioning circuit processing and amplifying to analog to digital conversion circuit, analog voltage signal is converted to digital data transmission to microprocessor, it is thus achieved that the digital information of natural lighting intensity;Microprocessor produces the pulse-width signal of distinct pulse widths according to the digital information of natural lighting intensity, and this pwm signal is transferred to driver;The time length effectively exported by LED power in one cycle of driver control, thus control the electric current output size of LED power;Size, the luminous intensity of regulation LED street lamp is exported by the electric current of LED power.
2. a LED street lamp control method, is characterized in that comprising the following steps:
Step 1. utilizes natural lighting to measure system and completes the measurement of natural environment intensity of illumination, it is thus achieved that natural lighting intensity;
Step 2. obtains the global illumination intensity of setting and the difference of natural lighting intensity;
Step 3. for input, utilizes light exposure measurement inversion model, it is thus achieved that the controlled quentity controlled variable of LED street lamp driver with the difference of intensity of illumination and natural lighting intensity after compensating;
Step 4.LED street lamp driver, under the effect of controlled quentity controlled variable, completes LED street lamp driving, luminescence, and now the luminous quantity of LED street lamp i.e. can compensate for nature light.
LED street lamp control method the most according to claim 2, is characterized in that described step 2 is to utilize MATLAB software and data sample (lxi, ui), sample magnitude computational methods, builds light exposure measurement model lx=f1=g (u) also realizes the nonlinear error compensation of light exposure measurement system, builds light exposure measurement inversion model u=f simultaneously2=f (lx), utilizes the data sample gathered to be trained light exposure measurement inversion model, it is thus achieved that the parameter of light exposure measurement inversion model;Utilizing the data sample gathered to be trained light exposure measurement model, it is thus achieved that the parameter of light exposure measurement model, and complete to input nonlinear error compensation between (u) and output (lx), step is as follows:
1) according to the variation tendency of data sample (lxi, ui), with
Lx=f1=a0+a1u+a2u2+a3u3+a4u4+a5u5And u=f2=b0+b1lx+b2lx2+b3lx3+b4lx4+b5lx5For kernel function, approach light exposure measurement model and light exposure measurement inversion model, wherein, a respectively0,…,a5, b0,…,b5It is respectively light exposure measurement model and the coefficient of light exposure measurement inversion model;
2) MATLAB software and data sample (lxi, ui) are utilized, method of least square of sampling, solve coefficient a0,…,a5, b0,…,b5
3) light exposure measurement system is utilized, it is thus achieved that sampled voltage u, by sampled voltage u and parameter a0,…,a5Substitute into function f1(i.e. light exposure measurement model), tries to achieve natural lighting intensity lx;
4) the global illumination intensity of setting and the difference Δ lx of natural lighting intensity are obtained.
LED street lamp control method the most according to claim 3, is characterized in that the controlled quentity controlled variable of described step 3, obtains according to following steps;
1) the difference Δ lx of intensity of illumination is input, by Δ lx and parameter b0,…,b5Substitute into function f2, it is thus achieved that the output voltage u of light exposure measurement inversion model;
2) input variable controlled for LED street lamp drive system with light exposure measurement inversion model output voltage u, by the PWM function of microprocessor, completes the control of LED street lamp drive system, and its control algolithm is as follows:
In formula (1), zPWMU () is the controlled quentity controlled variable of LED street lamp drive system, CmaxFor the maximum controlled quentity controlled variable of LED, LNFor current natural lighting intensity, LaFor starting the threshold value of LED Self Adaptive Control;LbFor closing the threshold value of LED Self Adaptive Control, La、LbValue can be configured with requirement according to LED street lamp applied environment, here, La、LbValue be set to La=0.9LNAVE, Lb=0.1LNAVE, wherein, LNAVEAverage intensity of illumination for the 16:00-17:00 time-division.
CN201610472357.9A 2016-06-25 2016-06-25 LED street lamp intelligent controller and control method Pending CN105934042A (en)

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