Disclosure of Invention
In view of the above, the present invention is directed to a method and a system for controlling urban road illumination, so as to solve the problem of low reliability of road lamp deployment in the prior art.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:
an urban road lighting control method applied to a road lighting control server, the road lighting control server being connected with a plurality of video monitoring devices, the method comprising:
for each video monitoring device in the plurality of video monitoring devices, receiving a road monitoring video collected and sent by the video monitoring device, wherein the road monitoring video comprises a plurality of frames of road monitoring video frames, and the plurality of video monitoring devices are respectively deployed in a plurality of urban road areas;
Performing area association analysis processing on the urban road areas according to the road monitoring video so as to output area association relation information among the urban road areas;
and carrying out area determination processing on the urban road areas according to the area association relation information among the urban road areas so as to output a plurality of target urban road areas corresponding to the urban road areas, and then respectively using each target urban road area for deploying the illumination street lamp.
In some preferred embodiments, in the urban road lighting control method, the step of receiving, for each video monitoring device of the plurality of video monitoring devices, the road monitoring video collected and transmitted by the video monitoring device includes:
under the condition that an instruction for requesting to deploy the illumination street lamp is received, requesting each video monitoring device in the plurality of video monitoring devices to perform video monitoring on a corresponding urban road area so as to form a corresponding road monitoring video, and requesting to acquire the road monitoring video;
and for each video monitoring device in the plurality of video monitoring devices, receiving the road monitoring video acquired and sent by the video monitoring device according to the corresponding request.
In some preferred embodiments, in the above urban road lighting control method, the step of performing a region association analysis process on the plurality of urban road regions according to the road monitoring video to output region association information between the plurality of urban road regions includes:
for each road monitoring video, performing de-duplication screening treatment on multi-frame road monitoring video frames included in the road monitoring video to output target road monitoring video corresponding to the road monitoring video, wherein the target road monitoring video comprises at least one frame of road monitoring video frame;
for each two urban road areas in the plurality of urban road areas, performing video similarity calculation processing on two target road monitoring videos corresponding to the two urban road areas so as to output video similarity between the two target road monitoring videos;
and for each two urban road areas in the plurality of urban road areas, carrying out area association analysis processing on the two urban road areas according to the video similarity between two target road monitoring videos corresponding to the two urban road areas so as to output area association relation information between the two urban road areas, wherein the area association relation information is positively correlated with the video similarity.
In some preferred embodiments, in the above urban road lighting control method, the step of performing, for each two urban road areas of the plurality of urban road areas, an area association analysis process on the two urban road areas according to a video similarity between two target road monitoring videos corresponding to the two urban road areas to output area association information between the two urban road areas includes:
for each urban road area in the plurality of urban road areas, carrying out area position determination processing on the urban road area so as to output area position information corresponding to the urban road area;
for each two urban road areas in the plurality of urban road areas, carrying out area position distance calculation processing on the two urban road areas according to the area position information corresponding to the two urban road areas so as to output the area position distance between the two urban road areas, and then carrying out first correlation coefficient determination processing with a negative correlation according to the area position distance so as to output a first correlation coefficient between the two urban road areas;
For each two urban road areas in the plurality of urban road areas, carrying out area adjacency degree determination processing on the two urban road areas according to the area position information corresponding to the two urban road areas so as to output the area adjacency degree between the two urban road areas, and carrying out second phase relation number determination processing with positive correlation according to the area adjacency degree so as to output second phase relation number between the two urban road areas, wherein the area adjacency degree has positive correlation with the adjacent area side length between the two corresponding urban road areas;
and for each two urban road areas in the plurality of urban road areas, carrying out weighted summation calculation processing on the video similarity between two target road monitoring videos corresponding to the two urban road areas, a first correlation coefficient between the two urban road areas and a second correlation coefficient between the two urban road areas so as to output area association relation information between the two urban road areas, wherein the weighting coefficient of the second correlation coefficient is larger than that of the first correlation coefficient, and the weighting coefficient of the first correlation coefficient is larger than that of the video similarity.
In some preferred embodiments, in the above urban road lighting control method, the step of performing a region determining process on the plurality of urban road regions according to the region association relationship information between the plurality of urban road regions to output a plurality of target urban road regions corresponding to the plurality of urban road regions, and then using each target urban road region for deploying the lighting street lamp respectively includes:
dividing the urban road areas according to the area association relation information among the urban road areas to output a plurality of area division results corresponding to the urban road areas, wherein each area division result comprises at least one urban road area;
and extracting one urban road area from the urban road areas included in the area division results for each area division result, and defining the urban road area as a target urban road area for deploying the lighting street lamp.
In some preferred embodiments, in the above urban road lighting control method, the step of dividing the plurality of urban road areas according to the area association relationship information between the plurality of urban road areas to output a plurality of area division results corresponding to the plurality of urban road areas, each of the area division results including at least one urban road area includes:
Clustering the urban road areas according to the area association relation information among the urban road areas to output at least one area clustering set corresponding to the urban road areas, wherein each area clustering set comprises at least one urban road area;
for each regional cluster set, determining the adjacency relation between the urban road regions included in the regional cluster set so as to output whether two non-adjacency urban road regions exist in the urban road regions included in the regional cluster set;
for each regional cluster set, if two non-contiguous urban road regions do not exist in the urban road regions included in the regional cluster set, marking the regional cluster set as one regional division result, and if two non-contiguous urban road regions exist in the urban road regions included in the regional cluster set, dividing the regional cluster set into at least two regional division results, so that two non-contiguous urban road regions do not exist in any regional division result.
In some preferred embodiments, in the above urban road lighting control method, the step of extracting, for each of the plurality of area division results, one urban road area from among the urban road areas included in the area division result, and defining the urban road area as the target urban road area, includes:
For each regional division result in the regional division results, carrying out quantity statistics processing on the urban road region included in the regional division result to output regional statistics quantity corresponding to the regional division result, and carrying out size comparison on the regional statistics quantity and a preset regional statistics quantity threshold to output a size relation corresponding to the regional division result;
for each regional division result in the regional division results, if the size relation corresponding to the regional division result represents that the regional statistics number is smaller than or equal to the regional statistics number threshold, extracting an urban road region with the largest regional area from the urban road regions included in the regional division result, and defining the urban road region as a target urban road region;
for each regional division result in the regional division results, if the size relation corresponding to the regional division result indicates that the regional statistics number is greater than the regional statistics number threshold, for each urban road region included in the regional division result, calculating the average value of the regional adjacency degree between the urban road region and each other urban road region in the regional division result so as to output the regional adjacency degree average value corresponding to the urban road region, wherein the regional adjacency degree is positively correlated with the regional side lengths of adjacencies between the two corresponding urban road regions;
And for each regional division result in the regional division results, extracting one urban road region with the largest average value of the corresponding regional adjacency degree from the urban road regions included in the regional division result, and defining the urban road region as a target urban road region.
The embodiment of the invention also provides an urban road lighting control system which is applied to a road lighting control server, wherein the road lighting control server is connected with a plurality of video monitoring devices, and the system comprises:
the monitoring video receiving module is used for receiving the road monitoring video acquired and sent by each video monitoring device in the plurality of video monitoring devices, wherein the road monitoring video comprises multi-frame road monitoring video frames, and the plurality of video monitoring devices are respectively deployed in a plurality of urban road areas;
the regional relevance analysis module is used for carrying out regional relevance analysis processing on the urban road regions according to the road monitoring video so as to output regional relevance information among the urban road regions;
the area determining and processing module is used for performing area determining and processing on the urban road areas according to the area association relation information among the urban road areas so as to output a plurality of target urban road areas corresponding to the urban road areas, and then each target urban road area is used for deploying the lighting street lamp.
In some preferred embodiments, in the above urban road lighting control system, the area correlation analysis module is specifically configured to:
for each road monitoring video, performing de-duplication screening treatment on multi-frame road monitoring video frames included in the road monitoring video to output target road monitoring video corresponding to the road monitoring video, wherein the target road monitoring video comprises at least one frame of road monitoring video frame;
for each two urban road areas in the plurality of urban road areas, performing video similarity calculation processing on two target road monitoring videos corresponding to the two urban road areas so as to output video similarity between the two target road monitoring videos;
and for each two urban road areas in the plurality of urban road areas, carrying out area association analysis processing on the two urban road areas according to the video similarity between two target road monitoring videos corresponding to the two urban road areas so as to output area association relation information between the two urban road areas, wherein the area association relation information is positively correlated with the video similarity.
In some preferred embodiments, in the above urban road lighting control system, the area determination processing module is specifically configured to:
Dividing the urban road areas according to the area association relation information among the urban road areas to output a plurality of area division results corresponding to the urban road areas, wherein each area division result comprises at least one urban road area;
and extracting one urban road area from the urban road areas included in the area division results for each area division result, and defining the urban road area as a target urban road area for deploying the lighting street lamp.
According to the urban road lighting control method and system provided by the embodiment of the invention, for each video monitoring device, the road monitoring video collected and sent by the video monitoring device is received, the road monitoring video comprises a plurality of frames of road monitoring video frames, and a plurality of video monitoring devices are respectively deployed in a plurality of urban road areas. And carrying out area association analysis processing on the urban road areas according to the road monitoring video so as to output area association relation information among the urban road areas. And carrying out area determination processing on the urban road areas according to the area association relation information among the urban road areas so as to output a plurality of target urban road areas corresponding to the urban road areas, and then respectively using each target urban road area for deploying the illumination street lamp. Therefore, the target urban road area is determined by referring to the area association relation information between the urban road areas so as to deploy the illumination street lamps, so that the reliability of street lamp deployment is better, and the problem of low reliability of street lamp deployment in the prior art is solved.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
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 only some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the 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.
As shown in fig. 1, an embodiment of the present invention provides a road lighting control server. Wherein the road lighting control server may comprise a memory and a processor.
Optionally, in some embodiments, the memory and the processor are electrically connected directly or indirectly to enable transmission or interaction of data. For example, electrical connection may be made to each other via one or more communication buses or signal lines. The memory may store at least one software functional module (computer program) that may exist in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, thereby implementing the urban road lighting control method provided by the embodiment of the invention.
Alternatively, in some embodiments, the Memory may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like. The processor may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a System on Chip (SoC), etc.; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
Optionally, in some embodiments, a plurality of video monitoring devices, such as cameras, are connected to the road lighting control server.
With reference to fig. 2, the embodiment of the invention further provides an urban road lighting control method, which can be applied to the road lighting control server. The method steps defined by the flow related to the urban road lighting control method can be realized by the road lighting control server.
The specific flow shown in fig. 2 will be described in detail.
Step S110, for each video monitoring device in the plurality of video monitoring devices, receiving the road monitoring video collected and sent by the video monitoring device.
In the embodiment of the present invention, the road lighting control server may, for each video monitoring device in the plurality of video monitoring devices, receive a road monitoring video collected and sent by the video monitoring device. The road monitoring video comprises a plurality of frames of road monitoring video frames, and the plurality of video monitoring devices are respectively deployed in a plurality of urban road areas.
Step S120, performing area association analysis processing on the plurality of urban road areas according to the road monitoring video, so as to output area association relationship information between the plurality of urban road areas.
In the embodiment of the present invention, the road lighting control server may perform area association analysis processing on the plurality of urban road areas according to the road monitoring video, so as to output area association relationship information between the plurality of urban road areas.
Step S130, performing area determination processing on the multiple urban road areas according to the area association relationship information between the multiple urban road areas, so as to output multiple target urban road areas corresponding to the multiple urban road areas, and then using each target urban road area for deploying the lighting street lamp.
In the embodiment of the present invention, the road lighting control server may perform, according to the region association relationship information between the plurality of urban road regions, region determination processing on the plurality of urban road regions, so as to output a plurality of target urban road regions corresponding to the plurality of urban road regions, and then use each target urban road region for deployment of lighting street lamps.
Based on the above, for each video monitoring device, the road monitoring video collected and transmitted by the video monitoring device is received, the road monitoring video includes a plurality of frames of road monitoring video frames, and the plurality of video monitoring devices are deployed in a plurality of urban road areas respectively. And carrying out area association analysis processing on the urban road areas according to the road monitoring video so as to output area association relation information among the urban road areas. And carrying out area determination processing on the urban road areas according to the area association relation information among the urban road areas so as to output a plurality of target urban road areas corresponding to the urban road areas, and then respectively using each target urban road area for deploying the illumination street lamp. Therefore, the target urban road area is determined by referring to the area association relation information between the urban road areas so as to deploy the illumination street lamps, so that the reliability of street lamp deployment is better, and the problem of low reliability of street lamp deployment in the prior art is solved.
In some embodiments, step S110 in the above may include the following:
under the condition that an instruction for requesting to deploy the illumination street lamp is received, requesting each video monitoring device in the plurality of video monitoring devices to perform video monitoring on a corresponding urban road area so as to form a corresponding road monitoring video, and requesting to acquire the road monitoring video;
and for each video monitoring device in the plurality of video monitoring devices, receiving the road monitoring video acquired and sent by the video monitoring device according to the corresponding request.
In some embodiments, step S120 in the above may include the following:
for each road monitoring video, performing de-duplication screening treatment on multi-frame road monitoring video frames included in the road monitoring video to output target road monitoring video corresponding to the road monitoring video, wherein the target road monitoring video comprises at least one frame of road monitoring video frame;
for each two urban road areas in the plurality of urban road areas, performing video similarity calculation processing on two target road monitoring videos corresponding to the two urban road areas so as to output video similarity between the two target road monitoring videos;
And for each two urban road areas in the plurality of urban road areas, carrying out area association analysis processing on the two urban road areas according to the video similarity between two target road monitoring videos corresponding to the two urban road areas so as to output area association relation information between the two urban road areas, wherein the area association relation information is positively correlated with the video similarity.
In some embodiments, the step of performing video similarity calculation processing on two target road monitoring videos corresponding to each two urban road areas in the plurality of urban road areas to output video similarity between the two target road monitoring videos in the foregoing may include the following steps:
for each of the two target road monitoring videos, respectively performing pixel point extraction processing on the road monitoring video frames included in the target road monitoring video to form a corresponding pixel sequence according to the pixel value components of the extracted pixel points, and performing sequence similarity calculation processing on the pixel sequence corresponding to each two frames of road monitoring video frames included in the target road monitoring video (the calculation modes about sequence similarity in the prior art can be referred to, such as sliding windows with different lengths, and then comparing) to output the sequence similarity corresponding to each two frames of road monitoring video frames;
For each target road monitoring video in the two target road monitoring videos, clustering the road monitoring video frames included in the target road monitoring video according to the sequence similarity corresponding to every two frames of road monitoring video frames (according to the existing related clustering algorithm) to output a plurality of video frame sets corresponding to the target road monitoring video, and for each video frame set, clustering the road monitoring video frames included in the video frame set according to the frame time sequence relationship between every two frames of road monitoring video frames in the video frame set to output at least one video frame sub-set corresponding to the video frame set, wherein any one frame of road monitoring video frame has at least one frame of adjacent road monitoring video frames in the corresponding video frame sub-set;
for each video frame sub-set, carrying out quantity statistics processing on road monitoring video frames included in the video frame sub-set to output video frame statistics quantity corresponding to the video frame sub-set, and carrying out size comparison on the video frame statistics quantity and a preset video frame statistics quantity threshold to output a size comparison relation corresponding to the video frame sub-set;
For each video frame subset, if the size comparison relation corresponding to the video frame subset characterizes that the video frame statistic number is greater than or equal to the video frame statistic number threshold, marking the video frame subset as a target video frame subset;
for each target video frame subset, respectively determining the frame time sequence of each frame of road monitoring video frame included in the target video frame subset to output the frame time sequence corresponding to each frame of road monitoring video frame, and then performing frame time sequence range determination processing on the target video frame subset according to the frame time sequence corresponding to each road monitoring video frame to output the frame time sequence range corresponding to the target video frame subset;
for each target road monitoring video in the two target road monitoring videos, extracting each other video frame sub-set which does not have an intersection between a corresponding frame time sequence range and a frame time sequence range corresponding to each target video frame sub-set corresponding to the target road monitoring video from other video frame sub-sets which are other than the target video frame sub-set in a plurality of video frame sub-sets corresponding to the target road monitoring video, and marking the other video frame sub-sets as target video frame sub-sets corresponding to the target road monitoring video;
For each target road monitoring video in the two target road monitoring videos, marking each frame of road monitoring video frame included in each target video frame subset corresponding to the target road monitoring video as a target road monitoring video frame, performing video frame similarity calculation processing (i.e. performing image similarity calculation) on each two frames of target road monitoring video frames between the two target road monitoring videos so as to output video frame similarity between each two frames of target road monitoring video frames, and performing calculation processing (e.g. performing mean value calculation) on the video similarity between the two target road monitoring videos so as to output corresponding video similarity according to the video frame similarity between each two frames of target road monitoring video frames between the two target road monitoring videos.
In some embodiments, the step of performing the area association analysis processing on each two urban road areas in the plurality of urban road areas according to the video similarity between two target road monitoring videos corresponding to the two urban road areas to output the area association information between the two urban road areas in the above content may include the following steps:
For each urban road area in the plurality of urban road areas, carrying out area position determination processing on the urban road area so as to output area position information corresponding to the urban road area;
for each two urban road areas in the plurality of urban road areas, carrying out area position distance calculation processing on the two urban road areas according to the area position information corresponding to the two urban road areas so as to output the area position distance between the two urban road areas, and then carrying out first correlation coefficient determination processing with a negative correlation according to the area position distance so as to output a first correlation coefficient between the two urban road areas;
for each two urban road areas in the plurality of urban road areas, performing area adjacency degree determination processing on the two urban road areas according to the area position information corresponding to the two urban road areas so as to output the area adjacency degree between the two urban road areas, and performing second phase relation number determination processing with positive correlation according to the area adjacency degree so as to output second phase relation numbers between the two urban road areas, wherein the area adjacency degree has positive correlation with the adjacent area side lengths between the two corresponding urban road areas (can have negative correlation with the average value of the area side lengths of the two corresponding urban road areas);
And for each two urban road areas in the plurality of urban road areas, carrying out weighted summation calculation processing on the video similarity between two target road monitoring videos corresponding to the two urban road areas, a first correlation coefficient between the two urban road areas and a second correlation coefficient between the two urban road areas so as to output area association relation information between the two urban road areas, wherein the weighting coefficient of the second correlation coefficient is larger than that of the first correlation coefficient, and the weighting coefficient of the first correlation coefficient is larger than that of the video similarity.
In some embodiments, step S130 in the above may include the following:
dividing the urban road areas according to the area association relation information among the urban road areas to output a plurality of area division results corresponding to the urban road areas, wherein each area division result comprises at least one urban road area;
and extracting one urban road area from the urban road areas included in the area division results for each area division result, and defining the urban road area as a target urban road area for deploying the lighting street lamp.
In some embodiments, the step of dividing the plurality of urban road areas according to the area association relationship information between the plurality of urban road areas in the foregoing disclosure to output a plurality of area division results corresponding to the plurality of urban road areas, where each area division result includes at least one urban road area may include the following steps:
clustering the urban road areas according to the area association relation information among the urban road areas to output at least one area clustering set corresponding to the urban road areas, wherein each area clustering set comprises at least one urban road area;
for each regional cluster set, determining the adjacency relation between the urban road regions included in the regional cluster set so as to output whether two non-adjacency urban road regions exist in the urban road regions included in the regional cluster set;
for each regional cluster set, if two non-contiguous urban road regions do not exist in the urban road regions included in the regional cluster set, marking the regional cluster set as one regional division result, and if two non-contiguous urban road regions exist in the urban road regions included in the regional cluster set, dividing the regional cluster set into at least two regional division results, so that two non-contiguous urban road regions do not exist in any regional division result.
In some embodiments, the step of extracting one urban road area from the urban road areas included in the area division result for each of the area division results in the above-mentioned content and defining the urban road area as the target urban road area may include the following steps:
for each regional division result in the regional division results, carrying out quantity statistics processing on the urban road region included in the regional division result to output regional statistics quantity corresponding to the regional division result, and carrying out size comparison on the regional statistics quantity and a preset regional statistics quantity threshold to output a size relation corresponding to the regional division result;
for each regional division result in the regional division results, if the size relation corresponding to the regional division result represents that the regional statistics number is smaller than or equal to the regional statistics number threshold, extracting an urban road region with the largest regional area from the urban road regions included in the regional division result, and defining the urban road region as a target urban road region;
For each regional division result in the regional division results, if the size relation corresponding to the regional division result indicates that the regional statistics number is greater than the regional statistics number threshold, for each urban road region included in the regional division result, calculating the average value of the regional adjacency degree between the urban road region and each other urban road region in the regional division result so as to output the regional adjacency degree average value corresponding to the urban road region, wherein the regional adjacency degree is positively correlated with the regional side lengths of adjacencies between the two corresponding urban road regions;
and for each regional division result in the regional division results, extracting one urban road region with the largest average value of the corresponding regional adjacency degree from the urban road regions included in the regional division result, and defining the urban road region as a target urban road region.
With reference to fig. 3, the embodiment of the invention further provides an urban road lighting control system, which can be applied to the road lighting control server. Wherein, the urban road lighting control system may include:
the monitoring video receiving module is used for receiving the road monitoring video acquired and sent by each video monitoring device in the plurality of video monitoring devices, wherein the road monitoring video comprises multi-frame road monitoring video frames, and the plurality of video monitoring devices are respectively deployed in a plurality of urban road areas;
The regional relevance analysis module is used for carrying out regional relevance analysis processing on the urban road regions according to the road monitoring video so as to output regional relevance information among the urban road regions;
the area determining and processing module is used for performing area determining and processing on the urban road areas according to the area association relation information among the urban road areas so as to output a plurality of target urban road areas corresponding to the urban road areas, and then each target urban road area is used for deploying the lighting street lamp.
Optionally, in some embodiments, the area correlation analysis module is specifically configured to:
for each road monitoring video, performing de-duplication screening treatment on multi-frame road monitoring video frames included in the road monitoring video to output target road monitoring video corresponding to the road monitoring video, wherein the target road monitoring video comprises at least one frame of road monitoring video frame;
for each two urban road areas in the plurality of urban road areas, performing video similarity calculation processing on two target road monitoring videos corresponding to the two urban road areas so as to output video similarity between the two target road monitoring videos;
And for each two urban road areas in the plurality of urban road areas, carrying out area association analysis processing on the two urban road areas according to the video similarity between two target road monitoring videos corresponding to the two urban road areas so as to output area association relation information between the two urban road areas, wherein the area association relation information is positively correlated with the video similarity.
Optionally, in some embodiments, the area determination processing module is specifically configured to:
dividing the urban road areas according to the area association relation information among the urban road areas to output a plurality of area division results corresponding to the urban road areas, wherein each area division result comprises at least one urban road area;
and extracting one urban road area from the urban road areas included in the area division results for each area division result, and defining the urban road area as a target urban road area for deploying the lighting street lamp.
In summary, according to the urban road lighting control method and system provided by the invention, for each video monitoring device, the road monitoring video collected and transmitted by the video monitoring device is received, the road monitoring video comprises a plurality of frames of road monitoring video frames, and a plurality of video monitoring devices are respectively deployed in a plurality of urban road areas. And carrying out area association analysis processing on the urban road areas according to the road monitoring video so as to output area association relation information among the urban road areas. And carrying out area determination processing on the urban road areas according to the area association relation information among the urban road areas so as to output a plurality of target urban road areas corresponding to the urban road areas, and then respectively using each target urban road area for deploying the illumination street lamp. And determining a target urban road area by referring to the area association relation information between the urban road areas so as to deploy the illumination street lamps, so that the reliability of street lamp deployment is better, and the problem of low reliability of street lamp deployment in the prior art is solved.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.