CN113518494A - Intelligent street lamp control method and device, storage medium and server - Google Patents
Intelligent street lamp control method and device, storage medium and server Download PDFInfo
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- CN113518494A CN113518494A CN202010275437.1A CN202010275437A CN113518494A CN 113518494 A CN113518494 A CN 113518494A CN 202010275437 A CN202010275437 A CN 202010275437A CN 113518494 A CN113518494 A CN 113518494A
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The embodiment of the application discloses a smart street lamp control method, a smart street lamp control device, a storage medium and a server, wherein the method comprises the following steps: acquiring a road condition video acquired by an intelligent street lamp camera; when the road condition video contains a target detection object, acquiring the movement information of the target detection object; and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information. The intelligent street lamp lighting method has the advantages that whether the target detection object needing lighting appears on the road or not is determined by the video monitoring system on the intelligent street lamp, the intelligent street lamp is turned on to light when the target detection object appears, the intelligent street lamp is controlled to be in a lamp-out state or to keep weak light to light when the target detection object does not appear, and the problem of power waste during night lighting of the street lamp can be greatly reduced.
Description
Technical Field
The application relates to the technical field of computers, in particular to an intelligent street lamp control method, an intelligent street lamp control device, a storage medium and a server.
Background
The street lamp is used for night illumination and guides the direction for the pedestrian.
The current street lamp control system is temporary at night, all street lamps are uniformly turned on/off by manual operation or automatic system control, the street lamps can illuminate all night after being turned on, and the street lamps on an unmanned street illuminate for a long time to cause great electric power waste.
Disclosure of Invention
The embodiment of the application provides an intelligent street lamp control method, an intelligent street lamp control device, a storage medium and a server, and can solve the problem that a large amount of power is wasted due to night illumination of the street lamp. The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides an intelligent street lamp control method, where the method includes:
acquiring a road condition video acquired by an intelligent street lamp camera;
when the road condition video contains a target detection object, acquiring the movement information of the target detection object;
and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information.
In a second aspect, an embodiment of the present application provides an intelligent street lamp control device, the device includes:
the road condition video acquisition module is used for acquiring a road condition video acquired by the intelligent street lamp camera;
the mobile information acquisition module is used for acquiring the mobile information of the target detection object when the road condition video contains the target detection object;
and the lighting information determining module is used for determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any one of the above methods.
In a fourth aspect, an embodiment of the present application provides a server, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of any one of the above methods when executing the program.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
according to the intelligent street lamp control method provided by the embodiment of the application, a server acquires a road condition video acquired by a camera of the intelligent street lamp and identifies and processes the road condition video; when the road condition video contains a target detection object, acquiring the movement information of the target detection object; and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information. The intelligent street lamp lighting method has the advantages that the video monitoring system on the intelligent street lamp is utilized to determine whether the target detection object needing lighting appears on the road, the intelligent street lamp is turned on to light when the target detection object appears, the intelligent street lamp is controlled to be in the lamp-out state or to keep weak light to light when the target detection object does not appear, and the problem of power waste during night lighting of the street lamp can be greatly reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating a method for controlling an intelligent street lamp according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart illustrating a method for controlling an intelligent street lamp according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an intelligent street lamp control device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an intelligent street lamp control device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an intelligent street lamp control device according to an embodiment of the present disclosure;
fig. 6 is a block diagram of a server according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.
In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The intelligent street lamp control method provided by the embodiment of the application will be described in detail below with reference to fig. 1 to 2.
Please refer to fig. 1, which is a schematic flow chart of an intelligent street lamp control method according to an embodiment of the present disclosure.
As shown in fig. 1, the method of the embodiment of the present application may include the steps of:
s101, acquiring road condition videos acquired through the intelligent street lamp camera.
The intelligent street lamp control method provided by the embodiment is executed by the server which manages all intelligent street lamps in a unified way. The wisdom street lamp is equipped with video monitoring device for the control road conditions to and upload the road conditions video of gathering for the server.
The intelligent street lamp is a street lamp which realizes remote centralized control and management of the street lamp by applying a power line carrier communication technology and a wireless GPRS/CDMA communication technology, and a video monitoring device loaded on the intelligent street lamp can adopt a high-definition camera or an infrared camera. The infrared camera has a good monitoring effect at night, and a high-definition camera can be used for collecting road condition videos under the condition of certain visible light.
The server analyzes the acquired road condition video, identifies moving objects appearing in the video, keeps the current state of the intelligent street lamp unchanged when only moving animals or pneumatic plants and other non-target detection objects exist in the road condition video, and can clean/delete the road condition video, so that the aim of saving storage space is fulfilled. The intelligent street lamp can identify objects in the road condition identification video by adopting an image identification method based on a neural network, an image identification method based on a wavelet moment and the like, and the current state of the intelligent street lamp can be an off/off state or a weak illumination state.
When it is recognized that a moving target detection object such as a vehicle or a pedestrian exists in the road condition video, the next step is executed.
It should be noted that, if no moving object occurs in the monitoring process, the monitoring video does not need to be uploaded to the server.
S102, when the road condition video contains a target detection object, obtaining the movement information of the target detection object.
An object requiring illumination is referred to as an object detection object including, but not limited to, a running car, a bicycle, or a pedestrian, etc.
The movement information may be, for example, the time when the target detection object appears. When the server acquires the road condition video collected by the intelligent street lamp according to fixed interval time, the time of the target detection object appearing in the video is further determined.
In other embodiments, the movement information may also be a forward direction of the target detection object. Specifically, when the image recognition result shows that the road condition video has the target detection object, two frames of images with different time in the road condition video are obtained, and the advancing direction of the target detection object is determined according to the time sequence and the position of the target detection object in the two frames of images.
S103, based on the mobile information, lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps is determined.
The server stores some basic parameter information (such as brightness value range, working voltage and the like) of the intelligent street lamps, and arrangement information of the intelligent street lamps, wherein the arrangement information comprises an arrangement mode, intervals among the lamps, the total number of the street lamps in a certain arrangement mode and the like.
The lighting information includes a lighting start time and a brightness value.
The mobile information of the target detection object is acquired and used for determining the on-off condition and the brightness value of the intelligent street lamps in the arrangement direction of the intelligent street lamps. Specifically, when the acquired movement information is the time when the target detection object appears, the time is the lighting start time of each intelligent street lamp in the arrangement direction of the intelligent street lamps, that is, all the intelligent street lamps are turned on when the target detection object appears, and each intelligent street lamp is lighted up with the maximum brightness value (other brightness values capable of sufficiently lighting are also available).
In a possible manner, after the lighting at the maximum brightness value, the method further comprises: in the lighting process, the server continuously acquires road condition videos acquired by all the intelligent street lamps in the arrangement direction, and when the target detection object passes through the last intelligent street lamp in the arrangement direction, the last appearance time of the target detection object is acquired, namely the lighting off time of all the intelligent street lamps in the arrangement direction of the intelligent street lamps, namely all the intelligent street lamps are turned off after the target detection object appears for the last time.
When the movement information is the advancing direction of the target detection object, the position of the target detection object is determined according to the collected road condition video, the brightness value of each intelligent street lamp in the advancing direction is adjusted to be the maximum value (namely in a lighting state), and the brightness value of each intelligent street lamp in the reverse direction of the advancing direction is adjusted to be zero (namely in a lighting-off state).
According to the intelligent street lamp control method provided by the embodiment of the application, a server acquires a road condition video acquired by a camera of the intelligent street lamp and identifies and processes the road condition video; when the road condition video contains a target detection object, acquiring the movement information of the target detection object; and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information. The intelligent street lamp lighting method has the advantages that the video monitoring system on the intelligent street lamp is utilized to determine whether the target detection object needing lighting appears on the road, the intelligent street lamp is turned on to light when the target detection object appears, the intelligent street lamp is controlled to be in the lamp-out state or to keep weak light to light when the target detection object does not appear, and the problem of power waste during night lighting of the street lamp can be greatly reduced.
Please refer to fig. 2, which is a schematic flow chart of an intelligent street lamp control method according to an embodiment of the present disclosure.
As shown in fig. 2, the method of the embodiment of the present application may include the steps of:
s201, the road condition video collected through the intelligent street lamp camera is obtained.
The intelligent street lamp control method provided by the embodiment is executed by the server which manages all intelligent street lamps in a unified way. The wisdom street lamp is equipped with video monitoring device for the control road conditions to and upload the road conditions video of gathering for the server. The server analyzes the acquired road condition video, identifies moving objects appearing in the video, and executes step S206 when only moving animals or pneumatic plants and other non-target detection objects exist in the road condition video; when a target detection object such as a moving vehicle or pedestrian exists in the road condition video, step S202 is executed.
For details, reference may be made to step S101 where this step is not described in detail, and details are not described here.
S202, when the road condition video contains a target detection object, the moving speed of the target detection object is obtained.
The speed represents the degree of the object movement speed, according to the moving speed, the time of the target detection object moving to each intelligent street lamp in the arrangement direction of the intelligent street lamps can be calculated, and each intelligent street lamp is sequentially lightened according to the time, so that the aim of further saving the electric quantity can be fulfilled.
Specifically, two frames of images with different time in the road condition video are obtained, and the moving speed of the target detection object is determined according to the time information of the two frames of images and the position of the target detection object in the two frames of images.
The step S102 is not described in detail herein, and the description thereof is omitted.
S203, acquiring the acquisition time of the road condition video, and calculating and acquiring the lighting starting time of each intelligent street lamp in the arrangement direction of the intelligent street lamps according to the moving speed and the acquisition time.
The server stores the arrangement information of the intelligent street lamps, the time of the target detection object moving to each intelligent street lamp can be determined according to the acquisition time of the road condition video, the moving speed of the target detection object and the spacing distance between the intelligent street lamps in the arrangement direction, the time is used as the lighting starting time of each intelligent street lamp, namely, the second intelligent street lamp is lighted when the target detection object moves to the second intelligent street lamp, and the third intelligent street lamp is lighted when the target detection object moves to the third intelligent street lamp.
After the lamp is lighted, the intelligent street lamp can illuminate with the maximum brightness value.
And S204, determining brightness value change information after the lighting of each intelligent street lamp is started according to the preset corresponding relation between the lighting duration and the brightness value.
In other embodiments, in order to save the electric quantity, the brightness value of the street lamp can be gradually reduced after the intelligent street lamp is on for a period of time.
The brightness value change information refers to the brightness value of the intelligent street lamp under different lamp-on duration.
Specifically, after the intelligent street lamp is lighted, the server acquires the lighting duration of the intelligent street lamp, and determines the brightness values corresponding to different lighting durations according to the preset corresponding relation between the lighting duration and the brightness values. The corresponding relation between the lighting duration and the brightness value can be that the longer the lighting duration is, the lower the brightness value of the intelligent street lamp is, namely, the brightness value is in inverse proportion to the lighting duration.
In more detail, the lighting duration corresponds to one brightness value every minute, or may be a range of brightness durations corresponding to one brightness value (for example, the lighting duration corresponds to a first brightness value when 1-10 minutes, and the lighting duration corresponds to a second brightness value when 10-20 minutes, and the second brightness value is smaller than the first brightness value).
In particular, as the duration of lighting increases, the brightness value of the intelligent street lamp will decrease to zero, and the state is maintained (i.e. the light-off state).
The embodiment extinguishes the street lamp by gradually weakening the brightness value of the intelligent street lamp in the opposite direction of the movement of the target detection object, and gradually reduces the illumination brightness behind the target detection object to provide convenience for observing the road condition behind the target detection object.
And S205, respectively issuing the lighting starting time and the brightness value change information to each intelligent street lamp in the arrangement direction of the intelligent street lamps.
After the lighting start time and the brightness value change information are determined, the server further needs to send the information to each intelligent street lamp in the arrangement direction of the intelligent street lamps, and each intelligent street lamp adjusts the starting time of the street lamp and the brightness value after lighting according to the received information.
And S206, when the road condition video does not contain the target detection object, respectively issuing preset fixed brightness values to each intelligent street lamp in the arrangement direction of the intelligent street lamps.
When a target detection object needing illumination does not appear in the road condition video, the intelligent street lamp adjusts the brightness of the street lamp based on a fixed brightness value issued by the server. The fixed brightness value is smaller than the maximum brightness value of the intelligent street lamp. For example, the fixed brightness value may be zero, that is, when the target detection object does not appear, the intelligent street lamp is in an off state; or the fixed brightness value can also be 1/4 of the maximum brightness value, that is, when the target detection object does not appear, the intelligent street lamp illuminates the street with weak bright light.
According to the intelligent street lamp control method provided by the embodiment, a server acquires a road condition video acquired by an intelligent street lamp camera and identifies and processes the road condition video; when the road condition video contains a target detection object, acquiring the movement information of the target detection object; and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information. The intelligent street lamp lighting method has the advantages that the video monitoring system on the intelligent street lamp is utilized to determine whether the target detection object needing lighting appears on the road, the intelligent street lamp is turned on to light when the target detection object appears, the intelligent street lamp is controlled to be in the lamp-out state or to keep weak light to light when the target detection object does not appear, and the problem of power waste during night lighting of the street lamp can be greatly reduced.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Please refer to fig. 3, which is a schematic structural diagram of an intelligent streetlamp control apparatus according to an exemplary embodiment of the present application. The intelligent street lamp control device can be realized to be all or part of the server through software, hardware or the combination of the software and the hardware, and can also be integrated on the server as an independent module. The intelligent street lamp control device in the embodiment of the application is applied to the server, the device 1 comprises a road condition video acquisition module 11, a mobile information acquisition module 12 and a lighting information determination module 13, wherein:
the road condition video acquisition module 11 is used for acquiring a road condition video acquired by the intelligent street lamp camera;
a mobile information obtaining module 12, configured to obtain mobile information of a target detection object when the road condition video includes the target detection object;
and the lighting information determining module 13 is configured to determine, based on the mobile information, lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps.
Please refer to fig. 4, which is a schematic structural diagram of an intelligent streetlamp control apparatus according to an exemplary embodiment of the present application.
Optionally, as shown in fig. 4, the lighting information determining module 13 in the intelligent street lamp control device 1 provided in the embodiment of the present application includes:
a road condition video acquisition time acquiring unit 131, configured to acquire acquisition time of the road condition video;
a lighting start time calculating unit 132, configured to calculate and obtain lighting start times of the intelligent street lamps in the arrangement direction of the intelligent street lamps according to the moving speed and the collecting time;
the brightness value change information determining unit 133 is configured to determine, according to a preset correspondence between the lighting duration and the brightness value, brightness value change information after the lighting of each intelligent street lamp starts.
Please refer to fig. 5, which is a schematic structural diagram of an intelligent streetlamp control apparatus according to an exemplary embodiment of the present application.
Optionally, as shown in fig. 5, the intelligent street lamp control device 1 provided in the embodiment of the present application further includes:
and the information sending module 14 is configured to send the lighting start time and the brightness value change information to each intelligent street lamp in the arrangement direction of the intelligent street lamps.
In other embodiments, the information sending module 14 is further configured to:
and when the road condition video does not contain the target detection object, respectively issuing preset fixed brightness values to each intelligent street lamp in the arrangement direction of the intelligent street lamps.
It should be noted that, when the intelligent street lamp control device provided in the above embodiment executes the intelligent street lamp control method, only the division of the above function modules is taken as an example, in practical application, the function distribution can be completed by different function modules according to needs, that is, the internal structure of the device is divided into different function modules, so as to complete all or part of the functions described above. In addition, the intelligent street lamp control device and the intelligent street lamp control method provided by the embodiment belong to the same concept, and the detailed implementation process is shown in the method embodiment, which is not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
According to the intelligent street lamp control device provided by the embodiment of the application, the server acquires the road condition video acquired by the intelligent street lamp camera and identifies and processes the road condition video; when the road condition video contains a target detection object, acquiring the movement information of the target detection object; and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information. The intelligent street lamp lighting method has the advantages that the video monitoring system on the intelligent street lamp is utilized to determine whether the target detection object needing lighting appears on the road, the intelligent street lamp is turned on to light when the target detection object appears, the intelligent street lamp is controlled to be in the lamp-out state or to keep weak light to light when the target detection object does not appear, and the problem of power waste during night lighting of the street lamp can be greatly reduced.
The embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the steps of the method of any one of the foregoing embodiments. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
The embodiment of the present application further provides a server, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the steps of any of the above-mentioned embodiments of the method are implemented.
Please refer to fig. 6, which is a block diagram of a server according to an embodiment of the present disclosure.
As shown in fig. 6, the server 100 includes: a processor 601 and a memory 602.
In this embodiment, the processor 601 is a control center of a computer system, and may be a processor of an entity machine or a processor of a virtual machine. The processor 601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state.
The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments of the present application, a non-transitory computer readable storage medium in the memory 602 is used to store at least one instruction for execution by the processor 601 to implement a method in embodiments of the present application.
In some embodiments, the server 100 further comprises: a peripheral interface 603 and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a display screen 604, a camera 605, and an audio circuit 606.
The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the memory 602. In some embodiments of the present application, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments of the present application, any one or both of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on separate chips or circuit boards. The embodiment of the present application is not particularly limited to this.
The display screen 604 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 604 is a touch display screen, the display screen 604 also has the ability to capture touch signals on or over the surface of the display screen 604. The touch signal may be input to the processor 601 as a control signal for processing. At this point, the display screen 604 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments of the present application, the display screen 604 may be one, and is disposed on the front panel of the server 100; in other embodiments of the present application, the number of the display screens 604 may be at least two, and the at least two display screens are respectively disposed on different surfaces of the server 100 or in a folding design; in still other embodiments of the present application, the display screen 604 may be a flexible display screen, disposed on a curved surface or on a folded surface of the server 100. Even further, the display screen 604 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The Display screen 604 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The camera 605 is used to capture images or video. Optionally, the camera 605 includes a front camera and a rear camera. Generally, the front camera is disposed on the front panel of the server, and the rear camera is disposed on the back of the server. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments of the present application, camera 605 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
Audio circuitry 606 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 601 for processing. For stereo capture or noise reduction purposes, the number of microphones may be multiple, and each microphone may be located at a different location on the server 100. The microphone may also be an array microphone or an omni-directional pick-up microphone.
The power supply 607 is used to supply power to the various components in the server 100. The power supply 607 may be ac, dc, disposable or rechargeable. When power supply 607 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
The server structure block diagram shown in the embodiment of the present application does not constitute a limitation to the server 100, and the server 100 may include more or less components than those shown, or combine some components, or adopt a different arrangement of components.
In this application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or order; the term "plurality" means two or more unless expressly limited otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In the description of the present application, it is to be understood that the terms "upper", "lower", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or unit must have a specific direction, be configured and operated in a specific orientation, and thus, should not be construed as limiting the present application.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Accordingly, all equivalent changes made by the claims of this application are intended to be covered by this application.
Claims (10)
1. An intelligent street lamp control method is characterized by comprising the following steps:
acquiring a road condition video acquired by an intelligent street lamp camera;
when the road condition video contains a target detection object, acquiring the movement information of the target detection object;
and determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information.
2. The method of claim 1, wherein the movement information includes a movement speed, and the determining lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the movement information includes:
acquiring the acquisition time of the road condition video;
and calculating and obtaining the lighting starting time of each intelligent street lamp in the arrangement direction of the intelligent street lamps according to the moving speed and the acquisition time.
3. The method according to claim 2, wherein after obtaining the lighting start time of each intelligent street lamp in the arrangement direction of the intelligent street lamps, the calculating further comprises:
and determining brightness value change information after the lighting of each intelligent street lamp is started according to the preset corresponding relation between the lighting duration and the brightness value.
4. The method of claim 3, further comprising:
and respectively issuing the lighting starting time and the brightness value change information to each intelligent street lamp in the arrangement direction of the intelligent street lamps.
5. The method of claim 1, further comprising:
and when the road condition video does not contain the target detection object, respectively issuing preset fixed brightness values to each intelligent street lamp in the arrangement direction of the intelligent street lamps.
6. The utility model provides an wisdom street lamp controlling means which characterized in that, the device includes:
the road condition video acquisition module is used for acquiring a road condition video acquired by the intelligent street lamp camera;
the mobile information acquisition module is used for acquiring the mobile information of the target detection object when the road condition video contains the target detection object;
and the lighting information determining module is used for determining the lighting information of each intelligent street lamp in the arrangement direction of the intelligent street lamps based on the mobile information.
7. The apparatus of claim 6, wherein the lighting information determining module in the apparatus comprises:
the road condition video acquisition time acquisition unit is used for acquiring the acquisition time of the road condition video;
and the lighting starting time calculating unit is used for calculating and obtaining the lighting starting time of each intelligent street lamp in the arrangement direction of the intelligent street lamps according to the moving speed and the acquisition time.
8. The apparatus of claim 7, wherein the lighting information determining module further comprises:
and the brightness value change information determining unit is used for determining the brightness value change information of each intelligent street lamp after the lighting of the intelligent street lamp starts according to the preset corresponding relation between the lighting duration and the brightness value.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
10. A server comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-5 are implemented when the program is executed by the processor.
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| CN114390759A (en) * | 2022-01-13 | 2022-04-22 | 北京瞰瞰智能科技有限公司 | Intelligent illumination system control method and device based on TOF camera and medium |
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