CN112399669A - Intelligent street lamp fusing light induction and visual detection - Google Patents
Intelligent street lamp fusing light induction and visual detection Download PDFInfo
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- CN112399669A CN112399669A CN202011293293.9A CN202011293293A CN112399669A CN 112399669 A CN112399669 A CN 112399669A CN 202011293293 A CN202011293293 A CN 202011293293A CN 112399669 A CN112399669 A CN 112399669A
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- 238000001514 detection method Methods 0.000 title claims abstract description 50
- 230000000007 visual effect Effects 0.000 title claims abstract description 20
- 230000006698 induction Effects 0.000 title claims abstract description 15
- 230000006855 networking Effects 0.000 claims abstract description 8
- 230000003993 interaction Effects 0.000 claims abstract description 4
- 238000013527 convolutional neural network Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000005286 illumination Methods 0.000 abstract description 6
- 230000008859 change Effects 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/30—Driver circuits
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/50—Circuit arrangements for operating light-emitting diodes [LED] responsive to malfunctions or undesirable behaviour of LEDs; responsive to LED life; Protective circuits
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an intelligent street lamp integrating photoinduction and visual detection, which comprises a plurality of LED street lamps, wherein a photosensitive detection module, a machine visual module, a street lamp control module and a fault detection module are respectively arranged on each LED street lamp. The street lamp control module is used for executing commands of the central control module to adjust and control the brightness of the lamp, and the fault detection module is used for detecting whether the street lamp has a fault; each LED street lamp is used as a node to realize information interaction by networking through a ZigBee protocol, and networking information is uniformly adjusted through the MCU. The invention combines the light induction technology, the visual detection technology and the street lamp control technology to lead the street lamp illumination to move as required by adopting three aspects of light induction, visual detection and street lamp control, thus leading the street lamp illumination management of the whole city to be more centralized, intelligent and scientific.
Description
Technical Field
The invention relates to the technical field of street lamp illumination and control, in particular to an intelligent street lamp integrating light induction and visual detection.
Background
In the existing road lighting system, the control mode of the street lamp usually adopts time control, light control or longitude and latitude control, the mode is single, the control is not flexible enough, the street lamp nodes can not be subjected to self-adaptive adjustment according to the traffic flow condition or the environmental condition, and the street lamp nodes have no data communication capacity and are difficult to meet diversified functional requirements in reality.
Meanwhile, the energy utilization rate of the street lamps is not high, for example, vehicles and pedestrians on the road are generally few after morning hours, and if the street lamps are always in an on state, a lot of power resources can be wasted.
As the voltage of the latter midnight power grid increases, this situation of continuously maintaining high brightness of the street lamp may cause a reduction in the service life of the street lamp, increasing maintenance costs.
Disclosure of Invention
The invention aims to provide an intelligent street lamp integrating light induction and visual detection, which can solve one or more of the technical problems.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
the utility model provides a fuse intelligent street lamp of photoinduction and visual detection, includes a plurality of LED street lamps, installs photosensitive detection module, machine vision module, street lamp control module, fault detection module on each LED road respectively. The street lamp control module is used for executing commands of the central control module to adjust and control the brightness of the lamp, and the fault detection module is used for detecting whether the street lamp has a fault; each LED street lamp is used as a node to realize information interaction by networking through a ZigBee protocol, and networking information is uniformly adjusted through the MCU.
Further: learning features directly from the video images in the MCU using a convolutional neural network; the convolutional neural network adds batch standardization and residual error modules to accelerate network convergence, integrates features of different depths, and uses 3 size feature maps for prediction to realize detection of multi-size targets.
Further: the photosensitive detection module includes a photosensitive sensor.
Further: the machine vision module includes a camera.
Further: the MCU is a local controller or a cloud server.
Further: the system also comprises a micro module, and the time synchronization of the control nodes is realized through the satellite module so as to ensure the timeliness of the sensor information.
Further: the street lamp control module comprises a street lamp controller, an integer circuit, a photoelectric isolator and a street lamp switch circuit; the input end of the street lamp controller and the input end of the photoelectric isolator are connected with an integer circuit, and the output end of the photoelectric isolator is connected with a street lamp switch circuit. The street lamp control circuit adopts circuit isolation, two paths of power supply and the idea of controlling a large signal by a small signal in design. The controller outputs high and low level control signals, and the signals are shaped by the circuit and transmitted to the photoelectric isolator;
further: the fault detection module comprises a fault detection circuit, and the fault detection circuit is connected with the street lamp in series. The detection is realized by detecting the current and voltage at two ends of the street lamp.
The invention has the technical effects that:
the invention combines the light induction technology, the visual detection technology and the street lamp control technology to lead the street lamp illumination to move as required by adopting three aspects of light induction, visual detection and street lamp control, thus leading the street lamp illumination management of the whole city to be more centralized, intelligent and scientific.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention.
In the drawings:
FIG. 1 is a functional block logic diagram of the present invention;
fig. 2 is a flow chart of the state control scheme of the present invention.
Detailed Description
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as unduly limiting the invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The utility model provides a fuse intelligent street lamp of photoinduction and visual detection, includes a plurality of LED street lamps, installs photosensitive detection module, machine vision module, street lamp control module, fault detection module on each LED road respectively. The street lamp control module is used for executing commands of the central control module to adjust and control the brightness of the lamp, and the fault detection module is used for detecting whether the street lamp has a fault; each LED street lamp is used as a node to realize information interaction by networking through a ZigBee protocol, and networking information is uniformly adjusted through the MCU.
The system can carry out the on-off control of the street lamp nodes according to the ambient brightness information, and the on-off control is realized through the ambient brightness detection module. A photo-resistor is used as a luminance information collecting sensor. According to the basic working principle of the photoresistor, the resistance value of the photoresistor is reduced along with the increase of the light intensity and is increased along with the decrease of the light intensity, and after the photoresistor is connected to the voltage division circuit, the change condition of the illumination intensity under the current environment can be reflected according to the change of the voltage value in the voltage division circuit. By using the principle, the circuit of the brightness detection module is designed.
The photosensitive detection module includes a photosensitive sensor. The machine vision module includes a camera. The MCU is a local controller or a cloud server.
The system also comprises a micro module, and the time synchronization of the control nodes is realized through the satellite module so as to ensure the timeliness of the sensor information.
The fault detection module comprises a fault detection circuit, and the fault detection circuit is connected with the street lamp in series.
The street lamp control module comprises a street lamp controller, an integer circuit, a photoelectric isolator and a street lamp switch circuit; the input end of the street lamp controller and the input end of the photoelectric isolator are connected with an integer circuit, and the output end of the photoelectric isolator is connected with a street lamp switch circuit.
The mains voltage is 220V alternating current; in view of the fact that the MCU generally cannot directly provide such a large current-voltage control, controlling a large voltage current with a small voltage current is a necessary option. In this circuit design, the circuit is divided into two parts by a photo-isolator acting as an on-off switch. The photoelectric isolator circuit generally comprises three parts, namely light emission, receiving and signal amplification, and the unidirectional signal transmission can effectively realize the electrical isolation of the input end and the output end. The street lamp switch circuit mainly comprises an electromagnetic relay, realizes a switch control function by utilizing an electromagnetic principle, and can control the on-off of a 220V alternating current circuit through 5V voltage, thereby realizing the on-off control of the street lamp.
Further: learning features directly from the video images in the MCU using a convolutional neural network; the convolutional neural network adds batch standardization and residual error modules to accelerate network convergence, integrates features of different depths, and uses 3 size feature maps for prediction to realize detection of multi-size targets.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a fuse intelligent street lamp of photoinduction and visual detection which characterized in that: the LED street lamp comprises a plurality of LED street lamps, wherein a photosensitive detection module, a machine vision module, a street lamp control module and a fault detection module are respectively arranged on each LED road;
the photosensitive detection module is used for detecting the ambient light intensity,
the machine vision module is used to detect vehicle speed and number of vehicles and traffic,
the street lamp control module is used for executing the command of the central control module to regulate the brightness of the lamp,
the fault detection module is used for detecting whether the street lamp has a fault;
each LED street lamp is used as a node to realize information interaction by networking through a ZigBee protocol, and networking information is uniformly adjusted through the MCU.
2. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: learning features directly from the video images in the MCU using a convolutional neural network; the convolutional neural network adds batch standardization and residual error modules to accelerate network convergence, integrates features of different depths, and uses 3 size feature maps for prediction to realize detection of multi-size targets.
3. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: the photosensitive detection module includes a photosensitive sensor.
4. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: the machine vision module includes a camera.
5. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: the MCU is a local controller or a cloud server.
6. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: the system also comprises a micro module, and the time synchronization of the control nodes is realized through the satellite module so as to ensure the timeliness of the sensor information.
7. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: the street lamp control module comprises a street lamp controller, an integer circuit, a photoelectric isolator and a street lamp switch circuit; the input end of the street lamp controller and the input end of the photoelectric isolator are connected with an integer circuit, and the output end of the photoelectric isolator is connected with a street lamp switch circuit.
8. The intelligent street lamp integrating light induction and visual detection as claimed in claim 1, wherein: the fault detection module comprises a fault detection circuit, and the fault detection circuit is connected with the street lamp in series.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011293293.9A CN112399669A (en) | 2020-11-18 | 2020-11-18 | Intelligent street lamp fusing light induction and visual detection |
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| CN202011293293.9A CN112399669A (en) | 2020-11-18 | 2020-11-18 | Intelligent street lamp fusing light induction and visual detection |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113905477A (en) * | 2021-10-25 | 2022-01-07 | 浙江大胜科技工程有限公司 | Intelligent energy-saving lighting method and system based on zigbee network |
| CN114071842A (en) * | 2021-11-23 | 2022-02-18 | 横店集团得邦照明股份有限公司 | Intelligent stage lighting system based on target detection and tracking |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102711318A (en) * | 2012-05-02 | 2012-10-03 | 浙江阳光照明电器集团股份有限公司 | Intelligent control system of LED (Light-Emitting Diode) city public illumination lamp |
| CN105517298A (en) * | 2016-01-24 | 2016-04-20 | 中能世华(北京)节能科技有限公司 | City internet of things intelligent streetlight system |
| CN205546142U (en) * | 2016-03-22 | 2016-08-31 | 南京信息工程大学 | Street lamp intelligence control system based on zigBee |
| KR101889875B1 (en) * | 2018-01-03 | 2018-08-20 | 주식회사 티엘이 | Low installation type low power smart street lamp system |
| CN110602176A (en) * | 2019-08-23 | 2019-12-20 | 江西憶源多媒体科技有限公司 | Method for controlling intelligent street lamp by utilizing edge calculation |
| CN111479359A (en) * | 2020-04-21 | 2020-07-31 | 陈依依 | System and method for energy-saving dimming of street lamp network based on microwave or millimeter wave radar array detection method |
| CN111601425A (en) * | 2020-06-18 | 2020-08-28 | 深圳天海宸光科技有限公司 | Intelligent street lamp energy-saving system and method based on machine vision |
-
2020
- 2020-11-18 CN CN202011293293.9A patent/CN112399669A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102711318A (en) * | 2012-05-02 | 2012-10-03 | 浙江阳光照明电器集团股份有限公司 | Intelligent control system of LED (Light-Emitting Diode) city public illumination lamp |
| CN105517298A (en) * | 2016-01-24 | 2016-04-20 | 中能世华(北京)节能科技有限公司 | City internet of things intelligent streetlight system |
| CN205546142U (en) * | 2016-03-22 | 2016-08-31 | 南京信息工程大学 | Street lamp intelligence control system based on zigBee |
| KR101889875B1 (en) * | 2018-01-03 | 2018-08-20 | 주식회사 티엘이 | Low installation type low power smart street lamp system |
| CN110602176A (en) * | 2019-08-23 | 2019-12-20 | 江西憶源多媒体科技有限公司 | Method for controlling intelligent street lamp by utilizing edge calculation |
| CN111479359A (en) * | 2020-04-21 | 2020-07-31 | 陈依依 | System and method for energy-saving dimming of street lamp network based on microwave or millimeter wave radar array detection method |
| CN111601425A (en) * | 2020-06-18 | 2020-08-28 | 深圳天海宸光科技有限公司 | Intelligent street lamp energy-saving system and method based on machine vision |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113905477A (en) * | 2021-10-25 | 2022-01-07 | 浙江大胜科技工程有限公司 | Intelligent energy-saving lighting method and system based on zigbee network |
| CN114071842A (en) * | 2021-11-23 | 2022-02-18 | 横店集团得邦照明股份有限公司 | Intelligent stage lighting system based on target detection and tracking |
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Application publication date: 20210223 |