CN113518499A - Big data-based intelligent lamp pole management method and device - Google Patents

Big data-based intelligent lamp pole management method and device Download PDF

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Publication number
CN113518499A
CN113518499A CN202110449396.8A CN202110449396A CN113518499A CN 113518499 A CN113518499 A CN 113518499A CN 202110449396 A CN202110449396 A CN 202110449396A CN 113518499 A CN113518499 A CN 113518499A
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brightness
illumination
coefficient
information
street lamp
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CN113518499B (en
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王雪峰
钱晓艳
史方琴
姜方方
罗磊
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Zhejiang Henglong Intelligent Technology Group Co ltd
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Zhejiang Henglong Intelligent Technology Group Co ltd
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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
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • H05B47/105Controlling the light source in response to determined parameters
    • H05B47/11Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • H05B47/105Controlling the light source in response to determined parameters
    • H05B47/115Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/20Responsive to malfunctions or to light source life; for protection
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

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Abstract

The embodiment of the invention provides a big data-based intelligent lamp post management method and device, wherein the method comprises the following steps: detecting external brightness information through a photosensitive module, and starting a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value; acquiring illumination road section information corresponding to the illumination street lamp, and acquiring people flow information corresponding to the illumination road section information in the large database according to the illumination road section information; determining a first brightness coefficient of the corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient according to the weight; and acquiring a corresponding brightness adjustment range according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment range. By adopting the method, the illumination brightness of the street lamp can be comprehensively adjusted through the pedestrian flow information and the external brightness, so that the street lamp can save illumination energy as much as possible on the premise of ensuring the normal life of pedestrians.

Description

Big data-based intelligent lamp pole management method and device
Technical Field
The invention relates to the technical field of intelligent lamp poles, in particular to a big data-based intelligent lamp pole management method and device.
Background
With the development of social economy, various lighting lamp poles not only appear on ordinary road roads, but also appear more and more at present in places where pedestrians gather, such as parks, squares and the like, so that the normal life of the pedestrians at night is ensured.
However, these present illumination lamp poles all adopt after arriving, the control mode of unified switch, and at night like this, no matter whether have the pedestrian to appear, the state of illumination lamp pole can not influenced by how much of pedestrian appears, and illumination lamp pole can all keep the state of always shining night, keeps always shining like this and will lead to the fact the waste of energy.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a smart lamp pole management method and device based on big data.
The embodiment of the invention provides a smart lamp post management method based on big data, which comprises the following steps:
detecting external brightness information through a photosensitive module, and starting a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value;
acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in a big database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow;
determining a first brightness coefficient of the corresponding illumination street lamp according to the people flow information, determining a second brightness coefficient of the corresponding illumination street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight;
and acquiring a corresponding brightness adjustment amplitude according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude.
In one embodiment, the method further comprises:
acquiring working day pedestrian flow information and holiday pedestrian flow information in the pedestrian flow information;
determining a first working day brightness coefficient of the corresponding illumination street lamp according to the working day people flow information, and determining a first holiday brightness coefficient of the corresponding illumination street lamp according to the holiday people flow information;
calculating a working day comprehensive coefficient of the first working day brightness coefficient and the second brightness coefficient according to the weight, and calculating a holiday comprehensive coefficient of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
and acquiring a corresponding working day brightness adjustment amplitude according to the working day comprehensive coefficient, adjusting the working day brightness of the illumination street lamp according to the working day brightness adjustment amplitude, acquiring a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, and adjusting the holiday illumination brightness of the illumination street lamp according to the holiday brightness adjustment amplitude.
In one embodiment, the method further comprises:
dividing the intelligent lamp post into a plurality of areas according to the distribution position information of the intelligent lamp post, and acquiring a central lamp post of each area;
the adjusting of the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude comprises:
and adjusting the illumination brightness of the illumination street lamp of the central lamp post according to the brightness adjustment range, and adjusting other lamp posts in the area corresponding to the central lamp post according to the illumination brightness of the central lamp post.
In one embodiment, the method further comprises:
judging whether the current road section is a driving road section or not according to the illumination road section information;
and when the road section is a driving road section, adjusting the first brightness coefficient to be 0.
In one embodiment, the method further comprises:
and when detecting that the corresponding lighting street lamp cannot be started, sending alarm information to the binding terminal.
The embodiment of the invention provides a smart lamp post management device based on big data, which comprises:
the detection module is used for detecting external brightness information through the photosensitive module and starting the corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value;
the acquisition module is used for acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in a big database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow;
the determining module is used for determining a first brightness coefficient of the corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight;
and the adjusting module is used for acquiring a corresponding brightness adjusting amplitude according to the comprehensive coefficient and adjusting the illumination brightness of the illumination street lamp according to the brightness adjusting amplitude.
In one embodiment, the apparatus further comprises:
the second acquisition module is used for acquiring the working day pedestrian flow information and the holiday pedestrian flow information in the pedestrian flow information;
the second determining module is used for determining a first working day brightness coefficient of the corresponding illumination street lamp according to the working day people flow information and determining a first holiday brightness coefficient of the corresponding illumination street lamp according to the holiday people flow information;
the calculating module is used for calculating the working day comprehensive coefficient of the first working day brightness coefficient and the second brightness coefficient according to the weight, and calculating the holiday comprehensive coefficient of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
and the second adjusting module is used for acquiring the corresponding working day brightness adjusting amplitude according to the working day comprehensive coefficient, adjusting the working sunlight brightness of the illumination street lamp according to the working day brightness adjusting amplitude, acquiring the corresponding holiday brightness adjusting amplitude according to the holiday comprehensive coefficient, and adjusting the holiday illumination brightness of the illumination street lamp according to the holiday brightness adjusting amplitude.
In one embodiment, the apparatus further comprises:
the intelligent lamp post comprises a dividing module, a positioning module and a control module, wherein the dividing module is used for dividing the intelligent lamp post into a plurality of areas according to the distribution position information of the intelligent lamp post and acquiring a central lamp post of each area;
and the third adjusting module is used for adjusting the illumination brightness of the illumination street lamp of the central lamp post according to the brightness adjusting amplitude and adjusting other lamp posts in the area corresponding to the central lamp post according to the illumination brightness of the central lamp post.
The embodiment of the invention provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the steps of the intelligent lamp pole management method based on the big data.
An embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above-mentioned big data-based intelligent light pole management method.
According to the intelligent lamp post management method and device based on the big data, the external brightness information is detected through the photosensitive module, and when the external brightness information is lower than the preset brightness threshold value, the corresponding illuminating street lamp is started; acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in the large database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow; determining a first brightness coefficient of a corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight; and acquiring a corresponding brightness adjustment amplitude according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude. Therefore, the illumination brightness of the street lamp can be comprehensively adjusted through the pedestrian flow information and the external brightness, so that the street lamp can save illumination energy as much as possible on the premise of ensuring the normal life of pedestrians.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a smart light pole management method based on big data according to an embodiment of the present invention;
FIG. 2 is a block diagram of an embodiment of a big data based intelligent light pole management device;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a smart lamp post management method based on big data according to an embodiment of the present invention, and as shown in fig. 1, an embodiment of the present invention provides a smart lamp post management method based on big data, including:
and S101, detecting external brightness information through a photosensitive module, and turning on a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value.
Specifically, the wisdom lamp pole passes through the sensitization module and detects external luminance information, and when external luminance information was less than preset luminance threshold value, it had not enough to show external luminance, need open the street lighting that the wisdom lamp pole corresponds, provides the illumination.
Step S102, obtaining illumination road section information corresponding to the illumination street lamp, obtaining historical pedestrian flow corresponding to the illumination road section information in a big database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow.
Specifically, the intelligent lamp pole determines an illumination road section corresponding to illumination of the illumination street lamp, acquires information of a pedestrian flow corresponding to the illumination road section in the large database according to the information of the illumination road section, for example, acquires historical pedestrian flow information of the illumination road section in the large database, and determines information of the pedestrian flow corresponding to the illumination road section according to the historical pedestrian flow information.
Step S103, determining a first brightness coefficient of the corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight.
Specifically, a first luminance coefficient of a corresponding lighting street lamp is determined according to traffic information corresponding to a lighting road segment, wherein a corresponding relationship between the first luminance coefficient and the traffic information may be preset, generally speaking, the larger the traffic information data is, the larger the corresponding first luminance coefficient is, i.e., the larger the number of people is, the larger the luminance coefficient is, and then a second luminance coefficient of the corresponding lighting street lamp is determined according to outside luminance information, wherein a corresponding relationship between the second luminance coefficient and the outside luminance information may be preset, generally speaking, the higher the outside luminance is, the smaller the corresponding first luminance coefficient is, then a preset weight is obtained, and an integrated coefficient of the first luminance coefficient and the second luminance coefficient is calculated according to the weight, wherein the preset weight may be set according to specific conditions of the current road segment, for example, according to historical data of a large database, when more pedestrians are detected in the current road section, the weight of the first brightness coefficient can be correspondingly improved, and when fewer pedestrians are detected in the current road section, the weight of the second brightness coefficient can be correspondingly improved.
In addition, whether the current road section is a driving road section or not is judged according to the illumination road section information, namely whether driving exists in the current road section or not is detected, when the road section is the driving road section, the first brightness coefficient is adjusted to be 0, the first brightness coefficient which indicates that the current road section does not need to refer to the pedestrian flow is shown, and the illumination brightness of the illumination street lamp is adjusted directly through the second brightness coefficient, namely the external brightness information.
And step S104, acquiring a corresponding brightness adjustment range according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment range.
Specifically, after the comprehensive coefficient is obtained through calculation, a corresponding brightness adjustment range is obtained according to the comprehensive coefficient, wherein the brightness adjustment range refers to a first brightness coefficient (pedestrian volume) and also refers to a second brightness coefficient (outside brightness), and the illumination brightness of the illumination street lamp is adjusted according to the brightness adjustment range.
In addition, when detecting that the street lighting that the wisdom lamp pole corresponds can't open or can't carry out brightness control, generate corresponding alarm information, send alarm information to binding the terminal, supply to bind the corresponding staff at terminal and maintain the street lighting.
According to the intelligent lamp post management method based on the big data, the external brightness information is detected through the photosensitive module, and when the external brightness information is lower than a preset brightness threshold value, a corresponding lighting street lamp is started; acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in the large database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow; determining a first brightness coefficient of a corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight; and acquiring a corresponding brightness adjustment amplitude according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude. Therefore, the illumination brightness of the street lamp can be comprehensively adjusted through the pedestrian flow information and the external brightness, so that the street lamp can save illumination energy as much as possible on the premise of ensuring the normal life of pedestrians.
On the basis of the above embodiment, the intelligent lamp pole management method based on big data further comprises:
acquiring working day pedestrian flow information and holiday pedestrian flow information in the pedestrian flow information;
determining a first working day brightness coefficient of the corresponding illumination street lamp according to the working day people flow information, and determining a first holiday brightness coefficient of the corresponding illumination street lamp according to the holiday people flow information;
calculating a working day comprehensive coefficient of the first working day brightness coefficient and the second brightness coefficient according to the weight, and calculating a holiday comprehensive coefficient of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
and acquiring a corresponding working day brightness adjustment amplitude according to the working day comprehensive coefficient, adjusting the working day brightness of the illumination street lamp according to the working day brightness adjustment amplitude, acquiring a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, and adjusting the holiday illumination brightness of the illumination street lamp according to the holiday brightness adjustment amplitude.
In the embodiment of the invention, after the people flow information of the illumination road section is obtained, the people flow information is divided, and the working day people flow information and the holiday people flow information in the people flow information are obtained, because the corresponding people flow information can have larger difference between working days and holidays, the brightness coefficients are respectively obtained, the first working day brightness coefficient of the corresponding illumination street lamp is determined according to the working day people flow information, and the first holiday brightness coefficient of the corresponding illumination street lamp is determined according to the holiday people flow information; and then respectively calculating the comprehensive coefficients of working days and holidays, calculating the comprehensive coefficient of the working days of the first working day brightness coefficient and the second brightness coefficient according to the weight, calculating the comprehensive coefficient of the holidays of the first holiday brightness coefficient and the second brightness coefficient according to the weight, respectively obtaining corresponding brightness adjustment ranges according to the comprehensive coefficients of the working days and the holidays, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment ranges.
According to the embodiment of the invention, the traffic information is divided, the traffic is divided into the working days and the holidays, and the brightness adjustment is respectively carried out, so that the intelligent lamp post can intelligently complete the brightness adjustment according to the working days and the holidays.
On the basis of the above embodiment, the intelligent lamp pole management method based on big data further comprises:
dividing the intelligent lamp post into a plurality of areas according to the distribution position information of the intelligent lamp post, and acquiring a central lamp post of each area;
the adjusting of the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude comprises:
and adjusting the illumination brightness of the illumination street lamp of the central lamp post according to the brightness adjustment range, and adjusting other lamp posts in the area corresponding to the central lamp post according to the illumination brightness of the central lamp post.
In the embodiment of the invention, the intelligent lamp post is divided into a plurality of areas according to the distribution position information of the intelligent lamp post in the big database, and the central lamp post of each area is obtained, wherein the central lamp post can refer to the lamp post at the center in the geographical position in each area, the brightness adjustment of the central lamp post can be adjusted according to the brightness adjustment amplitude corresponding to the comprehensive coefficient, and then other lamp posts in the same area are adjusted according to the adjustment amplitude of the central lamp post, so that the brightness of the intelligent lamp post can be adjusted regionally.
According to the embodiment of the invention, the other lamp poles in the same area are adjusted through adjusting the range of the central lamp pole, so that the intelligent lamp pole can perform regional brightness adjustment, and meanwhile, the data processing steps of other lamp poles can be reduced, and resources are saved.
On the basis of the above embodiment, the terminal management method for the electronic stop board further includes:
and when the recently registered vehicle is detected to enter the preset range of the bus station, receiving the number information and the picture information of the vehicle, which are sent by the vehicle-mounted terminal of the recently registered vehicle, and sending the number information and the picture information of the vehicle to the registration terminal.
Fig. 2 is a terminal management device for an electronic stop board according to an embodiment of the present invention, including: the device comprises a detection module S201, an acquisition module S202, a determination module S203 and an adjustment module S204, wherein:
the detection module S201 is used for detecting the external brightness information through the photosensitive module and starting the corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value.
The obtaining module S202 is configured to obtain illumination road section information corresponding to the illumination street lamp, obtain historical pedestrian flow corresponding to the illumination road section information in a big database according to the illumination road section information, and determine pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow.
The determining module S203 is configured to determine a first brightness coefficient of the corresponding lighting street lamp according to the people flow information, determine a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, obtain a preset weight, and calculate a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight.
And the adjusting module S204 is used for obtaining a corresponding brightness adjusting range according to the comprehensive coefficient and adjusting the illumination brightness of the illumination street lamp according to the brightness adjusting range.
In one embodiment, the apparatus may further comprise:
and the second acquisition module is used for acquiring the working day pedestrian flow information and the holiday pedestrian flow information in the pedestrian flow information.
And the second determining module is used for determining a first working day brightness coefficient of the corresponding illumination street lamp according to the working day people flow information and determining a first holiday brightness coefficient of the corresponding illumination street lamp according to the holiday people flow information.
And the calculating module is used for calculating the working day comprehensive coefficient of the first working day brightness coefficient and the second brightness coefficient according to the weight, and calculating the holiday comprehensive coefficient of the first holiday brightness coefficient and the second brightness coefficient according to the weight.
And the second adjusting module is used for acquiring the corresponding working day brightness adjusting amplitude according to the working day comprehensive coefficient, adjusting the working sunlight brightness of the illumination street lamp according to the working day brightness adjusting amplitude, acquiring the corresponding holiday brightness adjusting amplitude according to the holiday comprehensive coefficient, and adjusting the holiday illumination brightness of the illumination street lamp according to the holiday brightness adjusting amplitude.
In one embodiment, the apparatus may further comprise:
the dividing module is used for dividing the intelligent lamp pole into a plurality of areas according to the distribution position information of the intelligent lamp pole and acquiring the central lamp pole of each area.
And the third adjusting module is used for adjusting the illumination brightness of the illumination street lamp of the central lamp post according to the brightness adjusting amplitude and adjusting other lamp posts in the area corresponding to the central lamp post according to the illumination brightness of the central lamp post.
In one embodiment, the apparatus may further comprise:
the judging module is used for judging whether the current road section is a driving road section according to the illumination road section information;
and the fourth adjusting module is used for adjusting the first brightness coefficient to 0 when the road section is a driving road section.
In one embodiment, the apparatus may further comprise:
and the second detection module is used for sending alarm information to the binding terminal when detecting that the corresponding lighting street lamp cannot be started.
For specific limitations of the smart light pole management device based on big data, reference may be made to the above limitations of the smart light pole management method based on big data, which are not described herein again. All or part of the modules in the intelligent lamp pole management device based on big data can be realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303 and a communication bus 304, wherein the processor 301, the memory 302 and the communication Interface 303 complete communication with each other through the communication bus 304. The processor 301 may call logic instructions in the memory 302 to perform the following method: detecting external brightness information through a photosensitive module, and starting a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value; acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in the large database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow; determining a first brightness coefficient of a corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight; and acquiring a corresponding brightness adjustment amplitude according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude.
Furthermore, the logic instructions in the memory 302 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: detecting external brightness information through a photosensitive module, and starting a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value; acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in the large database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow; determining a first brightness coefficient of a corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight; and acquiring a corresponding brightness adjustment amplitude according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A smart lamp pole management method based on big data is characterized by comprising the following steps:
detecting external brightness information through a photosensitive module, and starting a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value;
acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in a big database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow;
determining a first brightness coefficient of the corresponding illumination street lamp according to the people flow information, determining a second brightness coefficient of the corresponding illumination street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight;
and acquiring a corresponding brightness adjustment amplitude according to the comprehensive coefficient, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude.
2. The big data based intelligent light pole management method of claim 1, further comprising:
acquiring working day pedestrian flow information and holiday pedestrian flow information in the pedestrian flow information;
determining a first working day brightness coefficient of the corresponding illumination street lamp according to the working day people flow information, and determining a first holiday brightness coefficient of the corresponding illumination street lamp according to the holiday people flow information;
calculating a working day comprehensive coefficient of the first working day brightness coefficient and the second brightness coefficient according to the weight, and calculating a holiday comprehensive coefficient of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
and acquiring a corresponding working day brightness adjustment amplitude according to the working day comprehensive coefficient, adjusting the working day brightness of the illumination street lamp according to the working day brightness adjustment amplitude, acquiring a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, and adjusting the holiday illumination brightness of the illumination street lamp according to the holiday brightness adjustment amplitude.
3. The big data based intelligent light pole management method of claim 1, further comprising:
dividing the intelligent lamp post into a plurality of areas according to the distribution position information of the intelligent lamp post, and acquiring a central lamp post of each area;
the adjusting of the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude comprises:
and adjusting the illumination brightness of the illumination street lamp of the central lamp post according to the brightness adjustment range, and adjusting other lamp posts in the area corresponding to the central lamp post according to the illumination brightness of the central lamp post.
4. The intelligent lamp post management method based on big data as claimed in claim 1, wherein after obtaining the lighting section information corresponding to the lighting street lamp, the method comprises:
judging whether the current road section is a driving road section or not according to the illumination road section information;
and when the road section is a driving road section, adjusting the first brightness coefficient to be 0.
5. The big data based intelligent light pole management method of claim 1, further comprising:
and when detecting that the corresponding lighting street lamp cannot be started, sending alarm information to the binding terminal.
6. The utility model provides a wisdom lamp pole management device based on big data which characterized in that, the device includes:
the detection module is used for detecting external brightness information through the photosensitive module and starting the corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold value;
the acquisition module is used for acquiring illumination road section information corresponding to the illumination street lamp, acquiring historical pedestrian flow corresponding to the illumination road section information in a big database according to the illumination road section information, and determining pedestrian flow information corresponding to the illumination road section information according to the historical pedestrian flow;
the determining module is used for determining a first brightness coefficient of the corresponding lighting street lamp according to the people flow information, determining a second brightness coefficient of the corresponding lighting street lamp according to the outside brightness information, acquiring a preset weight, and calculating a comprehensive coefficient of the first brightness coefficient and the second brightness coefficient according to the weight;
and the adjusting module is used for acquiring a corresponding brightness adjusting amplitude according to the comprehensive coefficient and adjusting the illumination brightness of the illumination street lamp according to the brightness adjusting amplitude.
7. The big data based intelligent light pole management device as claimed in claim 6, further comprising:
the second acquisition module is used for acquiring the working day pedestrian flow information and the holiday pedestrian flow information in the pedestrian flow information;
the second determining module is used for determining a first working day brightness coefficient of the corresponding illumination street lamp according to the working day people flow information and determining a first holiday brightness coefficient of the corresponding illumination street lamp according to the holiday people flow information;
the calculating module is used for calculating the working day comprehensive coefficient of the first working day brightness coefficient and the second brightness coefficient according to the weight, and calculating the holiday comprehensive coefficient of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
and the second adjusting module is used for acquiring the corresponding working day brightness adjusting amplitude according to the working day comprehensive coefficient, adjusting the working sunlight brightness of the illumination street lamp according to the working day brightness adjusting amplitude, acquiring the corresponding holiday brightness adjusting amplitude according to the holiday comprehensive coefficient, and adjusting the holiday illumination brightness of the illumination street lamp according to the holiday brightness adjusting amplitude.
8. The big data based intelligent light pole management device as claimed in claim 6, further comprising:
the intelligent lamp post comprises a dividing module, a positioning module and a control module, wherein the dividing module is used for dividing the intelligent lamp post into a plurality of areas according to the distribution position information of the intelligent lamp post and acquiring a central lamp post of each area;
and the third adjusting module is used for adjusting the illumination brightness of the illumination street lamp of the central lamp post according to the brightness adjusting amplitude and adjusting other lamp posts in the area corresponding to the central lamp post according to the illumination brightness of the central lamp post.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the big data based intelligent light pole management method according to any one of claims 1 to 5.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the big data based intelligent light pole management method according to any one of claims 1 to 5.
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