CN205681663U - A kind of LED street lamp intelligent controller - Google Patents

A kind of LED street lamp intelligent controller Download PDF

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Publication number
CN205681663U
CN205681663U CN201620639997.XU CN201620639997U CN205681663U CN 205681663 U CN205681663 U CN 205681663U CN 201620639997 U CN201620639997 U CN 201620639997U CN 205681663 U CN205681663 U CN 205681663U
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street lamp
led street
led
microprocessor
illumination
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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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Abstract

The utility model discloses a kind of LED street lamp intelligent controller, 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 measurement system, and described microprocessor, driver, LED streetlamp power source and LED street lamp constitute LED street lamp drive system.Compared with the prior art the utility model has the advantage that can be according to natural lighting strength characteristic at dusk, automatically adjust LED street lamp intensity of illumination, make full use of nature light, on the premise of ensureing that global illumination intensity (i.e. LED street lamp illumination and natural lighting sum) is constant, reduce the energy consumption of LED street lamp.

Description

A kind of LED street lamp intelligent controller
Technical field
The utility model belongs to street lamp, is specifically related to a kind of LED road lamp controller.
Technical background
At present, LED street lamp is applied widely in the fields such as road lighting, city lighting engineering, its control mode It is mostly and be divided into Artificial Control or timing controlled two class.Both control modes are simple, but there is open defect: can not be according to sky Gas situation or extraneous natural light situation automatically adjust the intensity of illumination of LED street lamp, thus cause waste of energy.Ask for solving this Topic, many scholars and engineer have carried out substantial amounts of research work, it is intended to reduce the energy consumption of LED street lamp.Chen Xiaoyan etc. utilize GPRS and ZigBee devises a kind of LED street lamp intelligent monitor system (" LED street lamp Based Intelligent Control based on GPRS and ZigBee System designs ", Chen Xiaoyan, Gao Wei, Qin Huan, " electronic measurement technique ", and in October, 2013), Li Lian etc. utilizes fuzzy control method Devise LED street lamp three grades of energy-saving control methods (total power, half-power, contract fully) (" the LED street lamp control based on fuzzy control The theoretical research of system processed ", Li Lian, Li Li, " illuminating engineering journal ", and in April, 2012), Liu Chunling etc. utilizes LED drive chip HV9910 devises LED street lamp self adaptation light adjusting circuit (" LED street lamp self adaptation dims wireless controller ", Liu Chunling, kingly way The universe, Cui Wenchong, " Liaoning Project Technology University's journal " (natural science edition), in January, 2015).These methods can be to a certain degree Upper reduction LED energy consumption, but control mode is excessively simple, and energy-saving effect needs to be improved further.
Utility model content
The purpose of this utility model is to overcome deficiency of the prior art, provides a kind of LED road lamp controller, can basis The feature that natural lighting intensity at dusk slowly dies down, controls LED street lamp illumination adaptively and gradually becomes strong, compensate overall light According to intensity, keep global illumination intensity constant, make full use of nature light, to reach energy-conservation purpose.
The purpose of this utility model is achieved by following technical proposals:
The LED road lamp controller that the utility model provides, including power supply, light sensor, sample circuit, signal condition are electric Road, 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 measurement system, described microprocessor, driver, LED streetlamp power source and LED street lamp constitute LED street lamp drive system;Light sensor is strong for the illumination detecting extraneous natural light The intensity of illumination of natural light is converted to sampling voltage by sample circuit by degree;Sampling voltage is input to signal conditioning circuit and amplifies Transmit after process to analog to digital conversion circuit, analog voltage signal is converted to digital data transmission to microprocessor, it is thus achieved that be natural The digital information of intensity of illumination;Microprocessor produces the pulsewidth modulation letter of distinct pulse widths according to the digital information of natural lighting intensity Number, and this pwm signal is transferred to driver;The time length effectively being exported by LED power in one cycle of driver control, Thus control the electric current output size of LED power;By the electric current output size of LED power, the luminescence of regulation LED street lamp is strong Degree.
Compared with the prior art the utility model has the advantage that can be according to natural lighting strength characteristic at dusk, certainly Dynamic regulation LED street lamp intensity of illumination, makes full use of nature light, is ensureing global illumination intensity (i.e. LED street lamp illumination and natural light According to sum) constant on the premise of, reduce the energy consumption of LED street lamp.
Describe the technical solution of the utility model below in conjunction with the accompanying drawings in detail.
Brief description
Fig. 1 is LED road lamp controller schematic block circuit diagram of the present utility model.
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 utility model 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 Device, sample circuit, signal conditioning circuit, analog to digital conversion circuit, microprocessor constitute natural lighting measurement system, described micro-process Device, driver, LED streetlamp power source and LED street lamp constitute LED street lamp drive system;Light sensor is used for detecting extraneous nature The intensity of illumination of light, by wire, light sensor is in parallel with the sample resistance of sample circuit, by sample circuit by nature light Intensity of illumination be converted to sampling voltage;After sampling voltage is input to signal conditioning circuit amplification process, transmission to modulus turns Changing circuit, analog voltage signal being converted to data signal, transmission is to microprocessor, it is thus achieved that the numeral letter of natural lighting intensity Breath;Utilize storage LED street lamp light intensity automatic control program in the microprocessor, according to the intensity of illumination letter of the natural light in the external world Breath, produces the pulse-width signal (pwm signal) of distinct pulse widths, by the I/O output pin of microprocessor, output pwm signal; And this pwm signal is transferred to driver, control the time length that LED power in a cycle effectively exports, thus control LED The electric current output size of power supply;LED power is directly connected in LED street lamp, by the electric current output size of LED power, regulates LED The luminous intensity of street lamp.
In the present embodiment, light sensor uses photo resistance, and microprocessor uses High Performance SCM STM32F103, Analog to digital conversion circuit uses the analog-digital converter within STM32F103, and LED street lamp driver uses existing special driving core Piece.
Principle Method of the present utility model is as follows:
First, natural lighting measurement system is utilized to complete the measurement of natural environment intensity of illumination, it is thus achieved that natural lighting intensity:
Utilize light exposure measurement system, intensity of illumination instrument etc., gather (17:00-19:00) different illumination intensity at dusk Natural lighting intensity under lxi and sampled voltage ui, the sampling interval is 1 minute, it is thus achieved that light exposure measurement model is inverse with light exposure measurement The data sample (lxi, ui) of model modeling;
2nd, obtain the global illumination intensity (i.e. intensity of illumination after the compensation of previous moment) of setting and natural lighting intensity it Difference:
Utilize MATLAB software and data sample (lxi, ui), sampling least square method (the numerical value meter such as neural net method Calculation method), build light exposure measurement model lx=f1=g (u) the nonlinear error compensation realizing light exposure measurement system, structure simultaneously Build light exposure measurement inversion model u=f2=f (lx), utilizes the data sample gathering to be trained light exposure measurement inversion model, it is thus achieved that The parameter of light exposure measurement inversion model;The data sample gathering is utilized to be trained light exposure measurement model, it is thus achieved that light exposure measurement mould The parameter of type, and complete nonlinear error compensation between input (u) and output (lx), step is following (seeing Fig. 3, Fig. 4):
1) variation tendency according to data sample (lxi, ui), experiment discovery, 5 order polynomial function approach data sample and become The best results of change trend, i.e. 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,…,b5 It is respectively the coefficient of light exposure measurement model and light exposure measurement inversion model;
2) MATLAB software and data sample (lxi, ui) are utilized, least square method of sampling, solve coefficient 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+ 0.00000014177281lx3-0.00000000015297lx4+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) obtain the global illumination intensity (i.e. intensity of illumination after the compensation of previous moment) of setting and natural lighting intensity it Difference Δ lx;
3rd, with the difference of intensity of illumination and natural lighting intensity after compensating for input, light exposure measurement inversion model is utilized, it is thus achieved that 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. light exposure measurement is against mould Type), it is thus achieved that the output voltage u of light exposure measurement inversion model;
2) input variable controlling for LED street lamp drive system with light exposure measurement inversion model output voltage u, by micro-process The PWM function of device STM32F103, completes the control of LED street lamp drive system, and 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 controlled quentity controlled variable (here, C for LEDmax For the reference voltage of STM32F103 internal mode number converter, i.e. Cmax=2.5V), LNFor current natural lighting intensity, LaFor opening The threshold value of dynamic LED Self Adaptive Control;LbFor closing the threshold value of LED Self Adaptive Control.La、LbValue can be according to LED street lamp application ring Border is configured with requirement.Here, La、LbValue be set to La=0.9LNAVE, Lb=0.1LNAVE, wherein, LNAVEIt is 16: The average intensity of illumination of 00-17:00 time-division;
4th, LED street lamp driver is under the effect of controlled quentity controlled variable, complete LED street lamp drive, luminous, now the sending out of LED street lamp Light quantity i.e. can compensate for nature light.

Claims (1)

1. a LED street lamp intelligent controller, is characterized in that including power supply, light sensor, sample circuit, signal condition electricity Road, 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 measurement system, described microprocessor, driver, LED streetlamp power source and LED street lamp constitute LED street lamp drive system;Light sensor is strong for the illumination detecting extraneous natural light The intensity of illumination of natural light is converted to sampling voltage by sample circuit by degree;Sampling voltage is input to signal conditioning circuit and amplifies Transmit after process to analog to digital conversion circuit, analog voltage signal is converted to digital data transmission to microprocessor, it is thus achieved that be natural The digital information of intensity of illumination;Microprocessor produces the pulsewidth modulation letter of distinct pulse widths according to the digital information of natural lighting intensity Number, and this pwm signal is transferred to driver;The time length effectively being exported by LED power in one cycle of driver control, Thus control the electric current output size of LED power;By the electric current output size of LED power, the luminescence of regulation LED street lamp is strong Degree.
CN201620639997.XU 2016-06-25 2016-06-25 A kind of LED street lamp intelligent controller Active CN205681663U (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105934042A (en) * 2016-06-25 2016-09-07 湖南师范大学 LED street lamp intelligent controller and control method
CN110323819A (en) * 2019-06-18 2019-10-11 浙江浩腾电子科技股份有限公司 A kind of novel low-light volt solar street light

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105934042A (en) * 2016-06-25 2016-09-07 湖南师范大学 LED street lamp intelligent controller and control method
CN110323819A (en) * 2019-06-18 2019-10-11 浙江浩腾电子科技股份有限公司 A kind of novel low-light volt solar street light

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