CN107809834A - A kind of resident illuminator based on cloud computing - Google Patents

A kind of resident illuminator based on cloud computing Download PDF

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Publication number
CN107809834A
CN107809834A CN201711288194.XA CN201711288194A CN107809834A CN 107809834 A CN107809834 A CN 107809834A CN 201711288194 A CN201711288194 A CN 201711288194A CN 107809834 A CN107809834 A CN 107809834A
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China
Prior art keywords
main frame
end main
local end
module
cloud computing
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Application number
CN201711288194.XA
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Chinese (zh)
Inventor
邹远龙
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Sichuan Seek Technology Co Ltd
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Sichuan Seek Technology Co Ltd
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Priority to CN201711288194.XA priority Critical patent/CN107809834A/en
Publication of CN107809834A publication Critical patent/CN107809834A/en
Withdrawn legal-status Critical Current

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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
    • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10—Controlling the light source
    • H05B47/105—Controlling the light source in response to determined parameters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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]

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

The invention discloses a kind of corridor illuminating system based on cloud computing, including：Cloud Server, lighting module, image capture module, image processing module and local end main frame, lighting module, image processing module are connected with local end main frame respectively, and image capture module is connected with image processing module, and local end main frame is connected with Cloud Server；Lighting module is used to provide lighting source, image capture module is used to gather portrait and the portrait pictorial information collected is sent into described image processing module, image processing module is used to extract the flow of the people information data received and sends it to the local end main frame, local end main frame is used to store the flow of the people information data received and sends it to the Cloud Server, Cloud Server is used to receive, store the flow of the people information data of the local end main frame transmission and establish training pattern, by periodically training renewal training pattern and sending the training pattern updated every time to the local end main frame.

Description

A kind of resident illuminator based on cloud computing
Technical field
The present invention relates to acoustic control lamp field, particularly a kind of corridor illuminating system based on cloud computing.
Background technology
Corridor illuminating system extensive use now, easily control mode has also obtained the accreditation of people for it, still Traditional corridor illuminating system provides illumination using acoustic control lamp, sensing lamp more, and acoustic control lamp does not have directionality to sound collecting, easily Be affected by other factors, cause by mistake it is bright, long-term switch lamp also results in the lost of life of lamp, and the waste of the energy, sensing lamp is then It must can just be lighted after human body signal is sensed, and this section of distance can not be lit before people goes to induction zone, usually from People brings inconvenience, and stream of people's size according to different periods that above two mode all can not be intelligent illuminates resource come reasonable distribution.
The content of the invention
In order to solve the above problems, the present invention proposes a kind of corridor illuminating system based on cloud computing.
Specifically, a kind of corridor illuminating system based on cloud computing, including：Cloud Server, lighting module, IMAQ mould Block, image processing module and local end main frame, the lighting module, image processing module connect with the local end main frame respectively Connect, described image acquisition module is connected with described image processing module, and the local end main frame is connected with the Cloud Server；
The lighting module is used to provide lighting source；
Described image acquisition module is used to gather portrait and the portrait pictorial information collected is sent into described image processing mould Block；
Described image processing module is used to extract the flow of the people information data received and sends it to the local end main frame；
The local end main frame is used to store the flow of the people information data received and sends it to the Cloud Server；
The Cloud Server is used to receive, stores flow of the people information data and foundation training mould that the local end main frame is sent Type, by periodically training renewal training pattern and sending the training pattern updated every time to the local end main frame.
Further, the lighting module includes：MCU, silicon controlled control circuit and LED, the MCU, controllable silicon control Circuit processed, LED are sequentially connected.
Further, the silicon controlled control circuit includes：Bidirectional triode thyristor, the G poles of the bidirectional triode thyristor with it is described MCU connections, the T1 poles of the bidirectional triode thyristor are connected with the live wire of the LED, the T2 poles of the bidirectional triode thyristor with it is described The zero line connection of LED.
Further, lighting module mark is provided with the lighting module, the lighting module is multiple.
Further, described image acquisition module is high definition ball video camera.
Further, described image processing module is additionally operable to：Extract the lighting module mark and temporal information.
Further, the Cloud Server is additionally operable to establish the training mould according to flow of the people size and corresponding time Type, the training pattern output control the different illuminations according to different time sections when extracting flow of the people information data The instruction that module is lighted.
Further, the MCU is connected by RS458 buses with the local end main frame.
Further, the local end main frame is communicated to connect by 3G/4G/WIFI/ optical fiber and the Cloud Server.
Further, the local host is additionally operable to：By the training pattern that receives to the corresponding MCU sending points Bright instruction, the MCU are received and are turned on loop by the ghyristor circuit after the instruction that the local end main frame is sent, light The LED and the cutoff circuit after preset time arrival.
The beneficial effects of the present invention are：It can be shone by training pattern according to different time, the distribution of different people flow quantity intelligent Bright module provides illumination, and training pattern can be updated according to historical data, optimized allocation, when big in flow of the people During the period, the multiple lighting modules of smart allocation are lighted, when in the flow of the people small period, the photograph of smart allocation small number Bright module is lighted, and is reasonably assigned with resource, has saved the energy, avoids the feelings that the street lamp of traditional illumination system frequently switches on Condition, extend the life-span of lighting module.
Brief description of the drawings
Fig. 1 is a kind of system schematic of corridor illuminating system based on cloud computing of the present invention；
Fig. 2 is a kind of lighting module structure schematic diagram of corridor illuminating system based on cloud computing of the present invention.
Embodiment
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now control illustrates this hair Bright embodiment.
As shown in figure 1, a kind of corridor illuminating system based on cloud computing, including：Cloud Server, lighting module, image are adopted Collect module, image processing module and local end main frame, the lighting module, image processing module respectively with the local end main frame Connection, described image acquisition module are connected with described image processing module, and the local end main frame is connected with the Cloud Server；
The lighting module is used to provide lighting source；
Described image acquisition module is used to gather portrait and the portrait pictorial information collected is sent into described image processing mould Block；
Described image processing module is used to extract the flow of the people information data received and sends it to the local end main frame；
The local end main frame is used to store the flow of the people information data received and sends it to the Cloud Server；
The Cloud Server is used to receive, stores flow of the people information data and foundation training mould that the local end main frame is sent Type, by periodically training renewal training pattern and sending the training pattern updated every time to the local end main frame.
Further, the lighting module includes：MCU, silicon controlled control circuit and LED, the MCU, controllable silicon control Circuit processed, LED are sequentially connected.
Further, the silicon controlled control circuit includes：Bidirectional triode thyristor, the G poles of the bidirectional triode thyristor with it is described MCU connections, the T1 poles of the bidirectional triode thyristor are connected with the live wire of the LED, the T2 poles of the bidirectional triode thyristor with it is described The zero line connection of LED.
Further, lighting module mark is provided with the lighting module, the lighting module is multiple.
Further, described image acquisition module is high definition ball video camera.
Further, described image processing module is additionally operable to：Extract the lighting module mark and temporal information.
Further, the Cloud Server is additionally operable to establish the training mould according to flow of the people size and corresponding time Type, the training pattern output control the different illuminations according to different time sections when extracting flow of the people information data The instruction that module is lighted.
Further, the MCU is connected by RS458 buses with the local end main frame.
Further, the local end main frame is communicated to connect by 3G/4G/WIFI/ optical fiber and the Cloud Server.
Further, the local host is additionally operable to：By the training pattern that receives to the corresponding MCU sending points Bright instruction, the MCU are received and are turned on loop by the ghyristor circuit after the instruction that the local end main frame is sent, light The LED and the cutoff circuit after preset time arrival.
It should be noted that for foregoing each embodiment of the method, in order to be briefly described, therefore it is all expressed as to a system The combination of actions of row, but those skilled in the art should know, the application is not limited by described sequence of movement, because For according to the application, certain some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should Know, embodiment described in this description belongs to preferred embodiment, involved action and unit not necessarily this Shen Please be necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in some embodiment Part, may refer to the associated description of other embodiment.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with The hardware of correlation is instructed to complete by computer program, described program can be stored in computer read/write memory medium In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic Dish, CD, ROM, RAM etc..
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.

Claims (10)

  1. A kind of 1. corridor illuminating system based on cloud computing, it is characterised in that including：Cloud Server, lighting module, IMAQ Module, image processing module and local end main frame, the lighting module, image processing module connect with the local end main frame respectively Connect, described image acquisition module is connected with described image processing module, and the local end main frame is connected with the Cloud Server；
    The lighting module is used to provide lighting source；
    Described image acquisition module is used to gather portrait and the portrait pictorial information collected is sent into described image processing mould Block；
    Described image processing module is used to extract the flow of the people information data received and sends it to the local end main frame；
    The local end main frame is used to store the flow of the people information data received and sends it to the Cloud Server；
    The Cloud Server is used to receive, stores flow of the people information data and foundation training mould that the local end main frame is sent Type, by periodically training renewal training pattern and sending the training pattern updated every time to the local end main frame.
  2. A kind of 2. corridor illuminating system based on cloud computing according to claim 1, it is characterised in that the lighting module Including：MCU, silicon controlled control circuit and LED, the MCU, silicon controlled control circuit, LED are sequentially connected.
  3. A kind of 3. corridor illuminating system based on cloud computing according to claim 2, it is characterised in that the controllable silicon control Circuit processed includes：Bidirectional triode thyristor, the G poles of the bidirectional triode thyristor are connected with the MCU, the T1 poles of the bidirectional triode thyristor with The live wire connection of the LED, the T2 poles of the bidirectional triode thyristor are connected with the zero line of the LED.
  4. A kind of 4. corridor illuminating system based on cloud computing according to claim 3, it is characterised in that：The lighting module On be provided with lighting module mark, the lighting module is multiple.
  5. A kind of 5. corridor illuminating system based on cloud computing according to claim 4, it is characterised in that：Described image gathers Module is high definition ball video camera.
  6. A kind of 6. corridor illuminating system based on cloud computing according to claim 5, it is characterised in that：Described image processing Module is additionally operable to：Extract the lighting module mark and temporal information.
  7. A kind of 7. corridor illuminating system based on cloud computing according to claim 6, it is characterised in that：The Cloud Server It is additionally operable to establish the training pattern according to flow of the people size and corresponding time, the training pattern output, which is worked as, extracts the stream of people When measuring information data, the instruction that the different lighting module lights is controlled according to different time sections.
  8. A kind of 8. corridor illuminating system based on cloud computing according to claim 7, it is characterised in that：The MCU passes through RS458 buses are connected with the local end main frame.
  9. A kind of 9. corridor illuminating system based on cloud computing according to claim 8, it is characterised in that：The local side master Machine is communicated to connect by 3G/4G/WIFI/ optical fiber and the Cloud Server.
  10. A kind of 10. corridor illuminating system based on cloud computing according to claim 9, it is characterised in that described landlord Machine is additionally operable to：Sent by the training pattern received to the corresponding MCU and light instruction, the MCU receives described Loop is turned on by the ghyristor circuit after the instruction that ground end main frame is sent, the LED is lighted and is reached in preset time Cutoff circuit afterwards.
CN201711288194.XA 2017-12-07 2017-12-07 A kind of resident illuminator based on cloud computing Withdrawn CN107809834A (en)

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CN201711288194.XA CN107809834A (en) 2017-12-07 2017-12-07 A kind of resident illuminator based on cloud computing

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CN107809834A true CN107809834A (en) 2018-03-16

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111665177A (en) * 2020-06-11 2020-09-15 太原理工大学 Laboratory protection system based on object recognition, toxic gas and heat source detection
CN112351561A (en) * 2020-11-12 2021-02-09 电子科技大学中山学院 Corridor induction lamp control system and control method thereof

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102542289A (en) * 2011-12-16 2012-07-04 重庆邮电大学 Pedestrian volume statistical method based on plurality of Gaussian counting models
CN203299872U (en) * 2013-06-07 2013-11-20 哈尔滨学院 People flow volume statistical device for public places
CN104112309A (en) * 2014-08-01 2014-10-22 西安电子科技大学 Device and method for automatically recording passenger flow of bus by adopting video monitor
CN105960081A (en) * 2016-07-26 2016-09-21 厦门华泉智慧能源科技有限公司 Method and device for adjusting lighting brightness

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102542289A (en) * 2011-12-16 2012-07-04 重庆邮电大学 Pedestrian volume statistical method based on plurality of Gaussian counting models
CN203299872U (en) * 2013-06-07 2013-11-20 哈尔滨学院 People flow volume statistical device for public places
CN104112309A (en) * 2014-08-01 2014-10-22 西安电子科技大学 Device and method for automatically recording passenger flow of bus by adopting video monitor
CN105960081A (en) * 2016-07-26 2016-09-21 厦门华泉智慧能源科技有限公司 Method and device for adjusting lighting brightness

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111665177A (en) * 2020-06-11 2020-09-15 太原理工大学 Laboratory protection system based on object recognition, toxic gas and heat source detection
CN112351561A (en) * 2020-11-12 2021-02-09 电子科技大学中山学院 Corridor induction lamp control system and control method thereof

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Application publication date: 20180316