CN113518499B - Intelligent lamp post management method and device based on big data - Google Patents
Intelligent lamp post management method and device based on big data Download PDFInfo
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- CN113518499B CN113518499B CN202110449396.8A CN202110449396A CN113518499B CN 113518499 B CN113518499 B CN 113518499B CN 202110449396 A CN202110449396 A CN 202110449396A CN 113518499 B CN113518499 B CN 113518499B
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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
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient 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
- 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
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
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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
- H05B47/20—Responsive to malfunctions or to light source life; for protection
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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
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- 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 embodiment of the invention provides a smart lamp post management method and device based on big data, 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 road lamp, and acquiring traffic information corresponding to the illumination road section information in a large database according to the illumination road section information; determining a first brightness coefficient of a corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external brightness information, acquiring preset weight, and calculating a comprehensive coefficient according to the weight; and obtaining 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 traffic information and the external brightness, so that the street lamp saves illumination energy as much as possible on the premise of ensuring normal life of pedestrians.
Description
Technical Field
The invention relates to the technical field of intelligent lamp poles, in particular to a method and a device for managing intelligent lamp poles based on big data.
Background
Along with the development of social economy, various lighting lamp posts at present are not only on common traffic lanes, but also increasingly on pedestrian gathering places such as parks, squares and the like, and more lighting lamp posts are also arranged, so that normal life of pedestrians at night is ensured.
However, at present, after reaching the point, the lighting lamp posts all adopt a control mode of unified switch, so that no matter whether pedestrians appear at night, the state of the lighting lamp posts cannot be influenced by the quantity of pedestrians, the lighting lamp posts can be kept in a normally-on state all night, and the normally-on state is always kept, so that energy waste is caused.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a smart lamp post 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 road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic;
Determining a first brightness coefficient of the corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 obtaining 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 workday people flow information and holiday people flow information in the people flow information;
Determining a first workday brightness coefficient of the corresponding lighting street lamp according to the workday pedestrian flow information, and determining a first holiday brightness coefficient of the corresponding lighting street lamp according to the holiday pedestrian flow information;
Calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight, and calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
And obtaining a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, adjusting the working day brightness of the lighting street lamp according to the working day brightness adjustment amplitude, obtaining a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, and adjusting the holiday lighting brightness of the lighting 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 obtaining a central lamp post of each area;
The adjusting 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 corresponding area of 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, the first brightness coefficient is adjusted to be 0.
In one embodiment, the method further comprises:
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 a corresponding illumination street lamp when the external brightness information is lower than a preset brightness threshold value;
The acquisition module is used for acquiring the illumination road section information corresponding to the illumination road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic;
The determining module is used for determining a first brightness coefficient of the corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 the 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 workday people flow information and the holiday people flow information in the people flow information;
The second determining module is used for determining a first workday brightness coefficient of the corresponding lighting street lamp according to the workday pedestrian flow information and determining a first holiday brightness coefficient of the corresponding lighting street lamp according to the holiday pedestrian flow information;
the calculation module is used for calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight and calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
the second adjusting module is used for obtaining the corresponding working day brightness adjusting amplitude according to the working day comprehensive coefficient, adjusting the working day brightness of the lighting street lamp according to the working day brightness adjusting amplitude, obtaining the corresponding holiday brightness adjusting amplitude according to the holiday comprehensive coefficient, and adjusting the holiday lighting brightness of the lighting street lamp according to the holiday brightness adjusting amplitude.
In one embodiment, the apparatus further comprises:
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 obtaining 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 corresponding area of the central lamp post according to the illumination brightness of the central lamp post.
The embodiment of the invention provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the intelligent lamp post management method based on big data when executing the program.
Embodiments of the present invention provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the big data based smart light pole management method described above.
According to the intelligent lamp post management method and device based on 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 illumination street lamp is started; acquiring illumination road section information corresponding to the illumination road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic; determining a first brightness coefficient of a corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 obtaining 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. Therefore, the illumination brightness of the street lamp can be comprehensively adjusted through the traffic information and the external brightness, so that the street lamp can save illumination energy as much as possible on the premise of ensuring 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 that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a smart light pole management method based on big data in an embodiment of the invention;
FIG. 2 is a block diagram of a smart pole management device based on big data in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flow chart of a big data-based intelligent lamp post management method according to an embodiment of the present invention, as shown in fig. 1, the embodiment of the present invention provides a big data-based intelligent lamp post management method, including:
Step S101, detecting external brightness information through a photosensitive module, and starting a corresponding illumination street lamp when the external brightness information is lower than a preset brightness threshold value.
Specifically, the intelligent lamp post detects external brightness information through the photosensitive module, and when the external brightness information is lower than a preset brightness threshold value, the external brightness is insufficient, and the corresponding illumination street lamp of the intelligent lamp post needs to be started to provide illumination.
Step S102, acquiring illumination road section information corresponding to the illumination road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic.
Specifically, the intelligent lamp post determines a corresponding lighting road section of the lighting street lamp, obtains information of corresponding people flow in the lighting road section information in a large database according to the information of the lighting road section, for example, obtains historical people flow information of the lighting road section in the large database, and determines information of the people flow corresponding to the lighting road section according to the historical people flow information.
Step S103, determining a first brightness coefficient of the corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 section, wherein a corresponding relation between the first luminance coefficient and the traffic information can be preset, generally speaking, the larger the traffic information data is, the larger the corresponding first luminance coefficient is, namely the more the number of people is, the larger the luminance coefficient is, then a second luminance coefficient of the corresponding lighting street lamp is determined according to external luminance information, wherein a corresponding relation between the second luminance coefficient and the external luminance information can be preset, generally, the higher the external luminance is, the smaller the corresponding first luminance coefficient is, then preset weight is obtained, and a comprehensive coefficient of the first luminance coefficient and the second luminance coefficient is calculated according to the weight, wherein the preset weight can be set according to the specific situation of the current road section, for example, when the pedestrians of the current road section are detected to be more, the weight of the first luminance coefficient can be correspondingly improved, and when the pedestrians of the current road section are less, the weight of the second luminance coefficient can be correspondingly improved.
In addition, whether the current road section is a driving road section is judged according to the lighting road section information, namely whether the current road section has driving or not is detected, when the road section is the driving road section, the first brightness coefficient is adjusted to 0, the first brightness coefficient which indicates that the current road section does not need to refer to the traffic flow is indicated, and the lighting brightness of the lighting street lamp is directly adjusted through the second brightness coefficient, namely the external brightness information.
Step S104, obtaining 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 calculated, a corresponding brightness adjustment range is obtained according to the comprehensive coefficient, wherein the brightness adjustment range refers to a first brightness coefficient (traffic volume) and also refers to a second brightness coefficient (external brightness), and the illumination brightness of the illumination street lamp is adjusted according to the brightness adjustment range.
In addition, when detecting that the illumination street lamp corresponding to the intelligent lamp post cannot be started or cannot be subjected to brightness adjustment, corresponding alarm information is generated, and the alarm information is sent to the binding terminal so that corresponding staff of the binding terminal can maintain the illumination street lamp.
According to the intelligent lamp post management method based on big data, the light sensing module is used for detecting external brightness information, 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 road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic; determining a first brightness coefficient of a corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 obtaining 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. Therefore, the illumination brightness of the street lamp can be comprehensively adjusted through the traffic information and the external brightness, so that the street lamp can save illumination energy as much as possible on the premise of ensuring normal life of pedestrians.
On the basis of the above embodiment, the intelligent lamp post management method based on big data further includes:
Acquiring workday people flow information and holiday people flow information in the people flow information;
Determining a first workday brightness coefficient of the corresponding lighting street lamp according to the workday pedestrian flow information, and determining a first holiday brightness coefficient of the corresponding lighting street lamp according to the holiday pedestrian flow information;
Calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight, and calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
And obtaining a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, adjusting the working day brightness of the lighting street lamp according to the working day brightness adjustment amplitude, obtaining a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, and adjusting the holiday lighting brightness of the lighting street lamp according to the holiday brightness adjustment amplitude.
In the embodiment of the invention, after the traffic information of the lighting road section is obtained, the traffic information is divided, and the traffic information of the workday and the traffic information of the holiday in the traffic information are obtained, and because the corresponding traffic information can have larger difference between the workday and the holiday, respectively obtaining the brightness coefficients, determining the first workday brightness coefficient of the corresponding lighting street lamp according to the traffic information of the workday, and determining the first holiday brightness coefficient of the corresponding lighting street lamp according to the traffic information of the holiday; and then respectively calculating the comprehensive coefficients of the working days and the holidays, calculating the working day comprehensive coefficients of the first working day brightness coefficient and the second brightness coefficient according to the weights, calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weights, respectively obtaining corresponding brightness adjustment amplitude according to the working days and the holidays comprehensive coefficients, and adjusting the illumination brightness of the illumination street lamp according to the brightness adjustment amplitude.
According to the embodiment of the invention, the traffic flow information is divided into the workday and the holiday, and the brightness adjustment is respectively carried out, so that the intelligent lamp post can more intelligently complete the brightness adjustment according to the workday and the holiday.
On the basis of the above embodiment, the intelligent lamp post management method based on big data further includes:
Dividing the intelligent lamp post into a plurality of areas according to the distribution position information of the intelligent lamp post, and obtaining a central lamp post of each area;
The adjusting 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 corresponding area of the central lamp post according to the illumination brightness of the central lamp post.
In the embodiment of the invention, the intelligent lamp posts are divided into a plurality of areas according to the distribution position information of the intelligent lamp posts in the large database, and the central lamp post of each area is obtained, wherein the central lamp post can refer to the lamp post at the most center in the geographic 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 the other lamp posts in the same area are adjusted according to the adjustment amplitude of the central lamp post, so that the intelligent lamp post can carry out regional brightness adjustment.
According to the embodiment of the invention, the adjustment amplitude of the central lamp post is used for adjusting other lamp posts in the same area, so that the intelligent lamp post can locally adjust the brightness, and meanwhile, the data processing steps of other lamp posts can be reduced, and the resource is saved.
On the basis of the above embodiment, the terminal management method of the electronic stop board further includes:
when the fact that the recently registered vehicle enters the preset range of the bus station is detected, vehicle number information and picture information sent by a vehicle-mounted terminal of the recently registered vehicle are received, and the vehicle number information and the picture information are sent to the registration terminal.
Fig. 2 is a terminal management device of 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 configured to detect external brightness information through the photosensitive module, and turn on a corresponding lighting street lamp when the external brightness information is lower than a preset brightness threshold.
The acquisition module S202 is configured to acquire lighting road section information corresponding to the lighting road lamp, acquire historical traffic corresponding to the lighting road section information in a large database according to the lighting road section information, and determine traffic information corresponding to the lighting road section information according to the historical traffic.
The determining module S203 is configured to determine a first luminance coefficient of the corresponding lighting street lamp according to the traffic information, determine a second luminance coefficient of the corresponding lighting street lamp according to the external luminance information, obtain a preset weight, and calculate a comprehensive coefficient of the first luminance coefficient and the second luminance coefficient according to the weight.
And the adjusting module S204 is used for acquiring the 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 may further include:
the second acquisition module is used for acquiring the workday people flow information and the holiday people flow information in the people flow information.
The second determining module is used for determining a first workday brightness coefficient of the corresponding lighting street lamp according to the workday pedestrian flow information and determining a first holiday brightness coefficient of the corresponding lighting street lamp according to the holiday pedestrian flow information.
The calculation module is used for calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight and calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight.
The second adjusting module is used for obtaining the corresponding working day brightness adjusting amplitude according to the working day comprehensive coefficient, adjusting the working day brightness of the lighting street lamp according to the working day brightness adjusting amplitude, obtaining the corresponding holiday brightness adjusting amplitude according to the holiday comprehensive coefficient, and adjusting the holiday lighting brightness of the lighting street lamp according to the holiday brightness adjusting amplitude.
In one embodiment, the apparatus may further include:
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 obtaining the 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 corresponding area of the central lamp post according to the illumination brightness of the central lamp post.
In one embodiment, the apparatus may further include:
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 include:
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 on the big data-based intelligent light pole management device, reference may be made to the above limitation on the big data-based intelligent light pole management method, and the detailed description thereof will be omitted. The modules in the intelligent lamp pole management device based on big data can be all or partially realized by software, hardware and the combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Fig. 3 illustrates a physical schematic diagram of an electronic device, as shown in fig. 3, where the electronic device may include: 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 perform 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 road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic; determining a first brightness coefficient of a corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 obtaining 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.
Further, the logic instructions in memory 302 described above may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the transmission method provided in the above embodiments, for example, including: 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 road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic; determining a first brightness coefficient of a corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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 obtaining 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.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A smart lamp post 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 road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic;
Determining a first brightness coefficient of the corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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;
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;
Acquiring workday people flow information and holiday people flow information in the people flow information;
Determining a first workday brightness coefficient of the corresponding lighting street lamp according to the workday pedestrian flow information, and determining a first holiday brightness coefficient of the corresponding lighting street lamp according to the holiday pedestrian flow information;
Calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight, and calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
And obtaining a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, adjusting the working day brightness of the lighting street lamp according to the working day brightness adjustment amplitude, obtaining a corresponding holiday brightness adjustment amplitude according to the holiday comprehensive coefficient, and adjusting the holiday lighting brightness of the lighting street lamp according to the holiday brightness adjustment amplitude.
2. 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 obtaining a central lamp post of each area;
The adjusting 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 corresponding area of the central lamp post according to the illumination brightness of the central lamp post.
3. The big data-based intelligent lamp pole management method according to claim 1, wherein after obtaining the lighting road 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, the first brightness coefficient is adjusted to be 0.
4. The big data based intelligent light pole management method of claim 1, further comprising:
When detecting that the corresponding lighting street lamp cannot be started, sending alarm information to the binding terminal.
5. An intelligent light pole management device based on big data, characterized in that the device comprises:
the detection module is used for detecting external brightness information through the photosensitive module, and starting a corresponding illumination street lamp when the external brightness information is lower than a preset brightness threshold value;
The acquisition module is used for acquiring the illumination road section information corresponding to the illumination road lamp, acquiring historical traffic corresponding to the illumination road section information in a large database according to the illumination road section information, and determining traffic information corresponding to the illumination road section information according to the historical traffic;
The determining module is used for determining a first brightness coefficient of the corresponding lighting street lamp according to the traffic information, determining a second brightness coefficient of the corresponding lighting street lamp according to the external 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;
the adjusting module is used for obtaining 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;
The second acquisition module is used for acquiring the workday people flow information and the holiday people flow information in the people flow information;
The second determining module is used for determining a first workday brightness coefficient of the corresponding lighting street lamp according to the workday pedestrian flow information and determining a first holiday brightness coefficient of the corresponding lighting street lamp according to the holiday pedestrian flow information;
the calculation module is used for calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight and calculating the holiday comprehensive coefficients of the first holiday brightness coefficient and the second brightness coefficient according to the weight;
the second adjusting module is used for obtaining the corresponding working day brightness adjusting amplitude according to the working day comprehensive coefficient, adjusting the working day brightness of the lighting street lamp according to the working day brightness adjusting amplitude, obtaining the corresponding holiday brightness adjusting amplitude according to the holiday comprehensive coefficient, and adjusting the holiday lighting brightness of the lighting street lamp according to the holiday brightness adjusting amplitude.
6. The big data based intelligent light pole management device of claim 5, further comprising:
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 obtaining 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 corresponding area of the central lamp post according to the illumination brightness of the central lamp post.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the big data based intelligent light pole management method according to any of the claims 1 to 4 when executing the program.
8. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the big data based smart pole management method as claimed in any of claims 1 to 4.
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