Multi-mode sensing fusion intelligent street lamp system and analysis method thereof

Abstract

The invention relates to the technical field of public lighting management, in particular to a multi-mode sensing fusion intelligent street lamp system and an analysis method thereof, and the system comprises an uploading module which is used for uploading street lamp distribution information and constructing a street lamp distribution topology based on the street lamp distribution information; the integrated sensing module is used for sensing environment information of a street lamp distribution area; the analysis module is used for receiving street lamp distribution area environment information sensed by the integrated sensing module, and analyzing and applying a street lamp on-off control decision according to the environment information; the intelligent street lamp control system adapts to the light intensity, the visibility and the visitor flow rate of a street lamp deployment area to intelligently control the street lamps, and further performs brightness regulation and control on the street lamps based on dynamic light intensity, visibility and visitor flow rate information, so that people passing through a road in the street lamp deployment area can better adapt to ambient light changes.

Description

Technical Field

[0001] The present invention relates to the technical field of public lighting management, and in particular to a multi-modal sensing fusion intelligent street lamp system and an analysis method thereof. Background Art

[0002] Street light control is a key technology to ensure nighttime road lighting. The traditional method relies on timed switches, which are easily affected by seasons and weather. Nowadays, intelligent control is mostly used, which uses photosensitive sensors to sense light changes and automatically turn street lights on and off. It can also be combined with the Internet of Things to remotely control brightness and monitor faults, achieve energy saving and efficient maintenance, and provide stable lighting for people traveling at night.

[0003] The invention patent application with application number 201810130475.0 discloses a street light control system, comprising: a vehicle sensing module, used to sense whether there is a vehicle in the oncoming direction of the road corresponding to the street light; a light-on control module, used to perform a light-on control operation on the street light in response to a received light-on signal; a light-on notification module, including a signal sending unit and / or a signal receiving unit, the signal sending unit is used to send a light-on signal when the vehicle sensing module senses a vehicle, and the signal receiving unit is used to receive the light-on signal; the light-on signal is a wireless broadcast signal without content; the signal sending unit is used to send the light-on signal through at least two channels; the signal receiving unit is used to receive the light-on signal in the at least two channels respectively. The invention relates to a method for transmitting the light-on signal to a street lamp and receiving the light-on signal; a first detection module is used to detect whether the at least two channels are in an idle state before the signal sending unit sends the light-on signal, and the signal sending unit is used to send the light-on signal when the first detection module detects that the at least two channels are in an idle state; a second detection module is used to detect whether the at least two channels are interfered with, and the light-on control module is used to perform the light-on control operation on the street lamp when the second detection module detects that the at least two channels are interfered with; it effectively solves the problem that some vehicles passing by at night cannot enjoy the lighting effect of the street lamp due to the current method of timing on and off the lights, and no effective balance is achieved between energy saving and lighting effect.

[0004] However, the intelligent control of existing smart street light systems often focuses on the on-off control of street lights, and manual control is still required for the brightness control of street lights.

[0005] Therefore, a multi-modal sensor fusion intelligent street light system and its analysis method are proposed. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a multi-modal sensing fusion intelligent street lamp system and an analysis method thereof, which solves the technical problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] In a first aspect, a multi-modal sensing fusion intelligent street lamp system includes:

[0009] An upload module is used to upload street light distribution information and build a street light distribution topology based on the street light distribution information; an integrated perception module is used to perceive the environmental information of the street light distribution area; an analysis module is used to receive the environmental information of the street light distribution area perceived by the integrated perception module, and use the environmental information to analyze and apply the street light switching control decision; an evaluation module is used to obtain the environmental information of the street light distribution area perceived by the integrated perception module, and evaluate whether the street lights have a tendency to be re-controlled based on the environmental information; a capture module is used to obtain the evaluation result of whether the street lights have a tendency to be re-controlled in the evaluation module, and capture the road sections that need to be re-controlled on the street light distribution topology based on the evaluation result; a configuration module is used to receive the road sections that need to be re-controlled captured in the capture module, configure the street light re-control logic for the road sections that need to be re-controlled, and perform brightness adjustment control on the street lights on the road sections that need to be re-controlled based on the street light re-control logic.

[0010] Furthermore, the street light distribution information uploaded in the uploading module is the location information of the street lights deployed on the road. When the street light distribution topology is constructed, the street light distribution topology is constructed based on the location information on the same side of the road to obtain several groups of street light distribution topologies. After the several groups of street light distribution topologies are constructed, the storage operation is synchronously executed;

[0011] The upload module is provided with submodules at the lower level, including:

[0012] A selection unit, used to traverse the street light distribution topology constructed in the upload module, and select a deployment location of the environment perception device on the street light distribution topology;

[0013] Among them, the selection unit runs the selected environmental perception device deployment location, that is, the deployment location of the integrated perception module. The street light distribution topology is configured to be represented by a real coordinate scale. When the street light distribution topology is constructed, it is connected to each other based on the adjacent street light location information to construct the street light distribution topology.

[0014] Furthermore, the street light distribution information uploaded in the uploading module is the location information of the street lights deployed on the road. When the street light distribution topology is constructed, the street light distribution topology is constructed based on the location information on the same side of the road to obtain several groups of street light distribution topologies. After the several groups of street light distribution topologies are constructed, the storage operation is synchronously executed;

[0015] The upload module is provided with submodules at the lower level, including:

[0016] A selection unit, used to traverse the street light distribution topology constructed in the upload module, and select a deployment location of the environment perception device on the street light distribution topology;

[0017] Among them, the selection unit runs the selected environmental perception device deployment location, that is, the deployment location of the integrated perception module. The street light distribution topology is configured to be represented by a real coordinate scale. When the street light distribution topology is constructed, it is connected to each other based on the adjacent street light location information to construct the street light distribution topology.

[0018] Furthermore, the integrated perception module is integrated by an environment perception device, and the environment perception device includes: an ambient light sensor, a visibility sensor, and a camera;

[0019] Among them, the environmental information perceived by the integrated perception module includes: ambient light intensity, ambient visibility, and dynamic target count. The integrated perception module performs real-time environmental information interaction based on the local area network, so that the environmental information perceived by all integrated perception modules can be read on any integrated sensor module. The street light distribution area, that is, the street light distribution topology corresponds to the area where the street lights are deployed.

[0020] Furthermore, the evaluation logic of whether the street lamp has a re-control tendency in the evaluation module is expressed as:

[0021] The evaluation module only operates when the street lamp is turned on;

[0022] The environmental information is sorted based on the position relationship of the street lights corresponding to the source integrated perception module in the street light distribution topology. The ambient light intensity, ambient visibility, and dynamic target count in the environmental information are recorded as G i , G i+1 , G i+2 , ..., L i , L i+1 , L i+2 , ..., M i 、M i+1 、M i+2 , ...;

[0023] Based on G i , G i+1 , G i+2 , ..., L i , L i+1 , L i+2 , ..., M i 、M i+1 、M i+2 , ...compare the sizes of the two adjacent items;

[0024] G i , G i+1 , L i , Li+1 , M i 、M i+1 For example:

[0025]

[0026] Where: i is the street lamp number;

[0027] When any one of formulas (1), (2), and (3) is true, it means that G i+1 , L i+1 、M i+1 The street lights corresponding to the source integrated perception module have a tendency to be re-controlled.

[0028] Furthermore, the capture logic of the road section that needs to be controlled in the capture module is:

[0029] Obtain street lamps with a tendency to be re-controlled in the evaluation results, identify the positions of the street lamps in the street lamp distribution topology, discard all nodes corresponding to street lamps in the street lamp distribution topology that are not identified as having a tendency to be re-controlled, record the street lamps corresponding to the remaining nodes as street lamps that need to be re-controlled, and record the paths of the street lamps that need to be re-controlled and their adjacent street lamps in the street lamp distribution topology as road sections that need to be re-controlled;

[0030] The number of street lights included in the road section that needs to be re-controlled is at least 1.

[0031] Furthermore, the control logic of the street lamps to be configured on the road section to be controlled in the configuration module is represented as:

[0032] Obtain the location information of the adjacent street lights at both ends of the road section that needs to be controlled, and obtain the adjustable brightness range of the street lights. Calculate the two sets of environmental information, configure the minimum value in the street light brightness adjustment range for the street light with the smaller calculation result, and configure the minimum value in the street light brightness adjustment range for the street light with the larger calculation result, measure the number of street lights on the road section that needs to be controlled again, and adjust the brightness of each street light in a step-by-step manner;

[0033] Among them, the street light brightness adjustment gear is Street light brightness adjustment

[0034]

[0035] Where: (K MAX , K MIN ) is the adjustable range of street light brightness; m all is the total number of street lights on the road section that needs to be re-controlled; m is the sequence number of the target street lights on the road section that needs to be re-controlled; K MAXor K MIN Indicates taking the maximum or minimum value, the starting end of the section that needs to be controlled is KMAX , ± is -, the starting point of the section that needs to be controlled is K MIN , ± takes +, The value is used to adjust the target brightness of the street light.

[0036] Furthermore, the upload module is interactively connected to a selection unit via a wireless network, the upload module is interactively connected to an integrated perception module and an analysis module, namely an evaluation module, via a wireless network, and the evaluation module is interactively connected to a capture module, namely a configuration module, via a wireless network.

[0037] In a second aspect, an analysis method for a multi-modal sensing fusion intelligent street lamp system comprises the following steps:

[0038] Step 1: Set the initial on / off control time domain of the street light, and control the path in real time based on the initial on / off control time domain of the street light;

[0039] Step 2: Set the street light turn-on trigger thresholds according to the ambient light intensity information, ambient visibility information, and dynamic target count information in the environmental information, obtain the latest environmental information in real time and compare it with the corresponding trigger thresholds, and control the street lights to turn on when the trigger thresholds are met;

[0040] Step 3: Based on the comparison of the continuously acquired environmental information with the corresponding trigger threshold, when the environmental information does not match the trigger threshold and is not in the street lamp on time domain in the initial on / off control time domain of the street lamp, the street lamp is controlled to be turned off;

[0041] Step 4: When the environmental information does not match the trigger threshold and is in the street light on time domain in the street light initial on / off control time domain, control the street light to remain on;

[0042] Step 5: Obtain the time of the street light on / off control, and generate a street light operation message based on the obtained result;

[0043] The street light on trigger threshold corresponding to the ambient light intensity information, ambient visibility information, and dynamic target count information are denoted as a, b, and c respectively;

[0044] The comparison logic between environmental information and trigger threshold is expressed as:

[0045]

[0046] Where: G MAX , L MAX 、M MAX The maximum ambient light intensity, ambient visibility, and dynamic target counting result perceived by each integrated sensing module (2) deployed in the street light distribution area in a single operation;

[0047] When any one of formula (1) or (2) and formula (3) are simultaneously established, the result is determined to be in compliance.

[0048] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0049] The present invention provides a multi-modal sensing fusion intelligent street lamp system and an analysis method thereof. The system combines the method during operation to intelligently control the street lamps according to the light intensity, visibility and pedestrian flow in the street lamp deployment area, and further adjusts the brightness of the street lamps based on dynamic light intensity, visibility and pedestrian flow information, so that people passing by on the roads in the street lamp deployment area can better adapt to changes in ambient light, and are less likely to encounter a situation where the user's eyes need to re-adapt to the ambient light after leaving the area where the street lamp is located due to a large difference in brightness between the road where the street lamp is located and the area outside the road, thereby effectively improving the lighting experience brought to users by the street lamp lighting service. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 It is a structural diagram of a multi-modal sensor fusion intelligent street light system;

[0052] Figure 2 A flowchart of an analysis method for a multi-modal sensor fusion intelligent street light system;

[0053] Figure 3 This is a schematic diagram of an example of the deployment location of the environment sensing device in the present invention;

[0054] Figure 4 This is a schematic diagram of an example of the logic of capturing a road section that needs to be re-controlled in the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] The present invention will be further described below in conjunction with the embodiments.

[0057] Embodiment 1:

[0058] A multi-modal sensor fusion intelligent street lamp system of this embodiment, such as Figure 1 As shown, including:

[0059] Uploading module 1, used to upload street light distribution information and build street light distribution topology based on the street light distribution information;

[0060] The street light distribution information uploaded in the upload module 1 is the location information of the street lights deployed on the road. When the street light distribution topology is constructed, the street light distribution topology is constructed based on the location information on the same side of the road to obtain several groups of street light distribution topologies. After the several groups of street light distribution topologies are constructed, the storage operation is synchronously executed;

[0061] The upload module 1 is provided with submodules at the lower level, including:

[0062] A selection unit 11 is used to traverse the street light distribution topology constructed in the upload module 1 and select a deployment location of the environment perception device on the street light distribution topology;

[0063] The selection unit 11 runs the selected environment sensing device deployment location, i.e., the deployment location of the integrated sensing module 2. The street light distribution topology is configured to be represented by a real coordinate scale. When constructing the street light distribution topology, the street light distribution topology is interconnected based on the adjacent street light location information to construct the street light distribution topology.

[0064] The selection unit 11 runs in the stage of selecting the deployment location of the environment perception device on the street lamp distribution topology, subject to:

[0065] Logic 1: The node locations representing the location information of street lamps on the distribution topology of each street lamp are selected as the deployment locations of the environment sensing devices;

[0066] Logic 2: Draw a perpendicular line at the endpoints of the two ends of the street light distribution topology with reference to the line segment where the endpoints are located. Use the perpendicular line as the mirror line to mirror the endpoints on the street light distribution topology adjacent to the endpoints to obtain the mirror point, which is used as the deployment location of the environment perception device.

[0067] After the environment perception device deployment location is selected based on Logic1 and Logic2, the system end user manually selects again in the selected environment perception device deployment location to finally confirm the application's environment perception device deployment location;

[0068] Integrated sensing module 2, used to sense environmental information of street lamp distribution area;

[0069] The integrated sensing module 2 is integrated by the environment sensing device, and the environment sensing device includes: an ambient light sensor, a visibility sensor, and a camera;

[0070] The environmental information sensed by the integrated sensing module 2 includes: ambient light intensity, ambient visibility, and dynamic target count. The integrated sensing module 2 performs real-time environmental information interaction based on the local area network, so that all environmental information sensed by the integrated sensing module 2 can be read on any integrated sensing module 2. The street light distribution area, that is, the street light distribution topology corresponds to the area to which the street light deployment road belongs;

[0071] The analysis module 3 is used to receive the environmental information of the street lamp distribution area sensed by the integrated perception module 2, and use the environmental information to analyze the street lamp on / off control decision and apply it;

[0072] The integrated sensing module 2 is integrated by the environment sensing device, and the environment sensing device includes: an ambient light sensor, a visibility sensor, and a camera;

[0073] The environmental information sensed by the integrated sensing module 2 includes: ambient light intensity, ambient visibility, and dynamic target count. The integrated sensing module 2 performs real-time environmental information interaction based on the local area network, so that all environmental information sensed by the integrated sensing module 2 can be read on any integrated sensing module 2. The street light distribution area, that is, the street light distribution topology corresponds to the area to which the street light deployment road belongs;

[0074] Evaluation module 4, used for obtaining environmental information of the street lamp distribution area sensed by the integrated sensing module 2, and evaluating whether the street lamp has a tendency to be re-controlled based on the environmental information;

[0075] The capturing module 5 is used to obtain the evaluation result of whether the street lamp has a tendency to be re-controlled in the evaluating module 4, and to capture the road section that needs to be re-controlled in the street lamp distribution topology based on the evaluation result;

[0076] The integrated sensing module 2 is integrated by the environment sensing device, and the environment sensing device includes: an ambient light sensor, a visibility sensor, and a camera;

[0077] The environmental information sensed by the integrated sensing module 2 includes: ambient light intensity, ambient visibility, and dynamic target count. The integrated sensing module 2 performs real-time environmental information interaction based on the local area network, so that all environmental information sensed by the integrated sensing module 2 can be read on any integrated sensing module 2. The street light distribution area, that is, the street light distribution topology corresponds to the area to which the street light deployment road belongs;

[0078] Configuration module 6, used for receiving the road section that needs to be re-controlled captured by the capture module 5, configuring street light re-control logic for the road section that needs to be re-controlled, and performing brightness adjustment control on the street lights on the road section that needs to be re-controlled based on the street light re-control logic;

[0079] The control logic of the street lights that need to be configured on the road section in the configuration module 6 is expressed as:

[0080] Obtain the location information of the adjacent street lights at both ends of the road section that needs to be controlled, and obtain the adjustable brightness range of the street lights. Calculate the two sets of environmental information, configure the minimum value in the street light brightness adjustment range for the street light with the smaller calculation result, and configure the minimum value in the street light brightness adjustment range for the street light with the larger calculation result, measure the number of street lights on the road section that needs to be controlled again, and adjust the brightness of each street light in a step-by-step manner;

[0081] Among them, the street light brightness adjustment gear is Street light brightness adjustment

[0082]

[0083] Where: (K MAX , K MIN ) is the adjustable range of street light brightness; m all is the total number of street lights on the road section that needs to be re-controlled; m is the sequence number of the target street lights on the road section that needs to be re-controlled; K MAXor K MIN Indicates taking the maximum or minimum value, the starting end of the section that needs to be controlled is K MAX , ± is -, the starting point of the section that needs to be controlled is K MIN , ± takes +, The value of is the target brightness of the street light adjustment;

[0084] Through the above settings, further adjustment logic is provided for street lamp brightness adjustment.

[0085] The upload module 1 is interactively connected to a selection unit 11 at the lower level through a wireless network. The upload module 1 is interactively connected to an integrated perception module 2 and an analysis module 3, namely an evaluation module 4, through a wireless network. The evaluation module 4 is interactively connected to a capture module 5, namely a configuration module 6, through a wireless network.

[0086] In this embodiment, the upload module 1 is operated to upload street light distribution information, and a street light distribution topology is constructed based on the street light distribution information. The selection unit 11 synchronously traverses the street light distribution topology constructed in the upload module 1, and selects the deployment position of the environmental perception device on the street light distribution topology. The integrated perception module 2 is post-operated to perceive the environmental information of the street light distribution area, and then the analysis module 3 receives the environmental information of the street light distribution area perceived by the integrated perception module 2, and uses the environmental information to analyze and apply the street light switching control decision. The evaluation module 4 further obtains the environmental information of the street light distribution area perceived by the integrated perception module 2, and evaluates whether there is a tendency for the street lights to be re-controlled based on the environmental information, and obtains the evaluation result of whether there is a tendency for the street lights to be re-controlled in the evaluation module 4 through the capture module 5, and captures the road sections that need to be re-controlled on the street light distribution topology based on the evaluation result. Finally, the configuration module 6 receives the road sections that need to be re-controlled captured in the capture module 5, configures the street light re-control logic for the road sections that need to be re-controlled, and performs brightness adjustment control on the street lights on the road sections that need to be re-controlled based on the street light re-control logic.

[0087] The present invention effectively improves the intelligent level of street lamp control management through intelligent control of the on and off of street lamps and brightness adjustment control. At the same time, based on the intelligent control of the on and off of street lamps, the use requirements of street lamps are effectively met. Based on the brightness adjustment control of street lamps, users who use street lamps can better adapt to the ambient light and provide users with a better lighting experience. At the same time, based on the above system control, the intelligent control of street lamps is used to further realize the energy-saving management of street lamps, ensuring that the on and off of street lamps are more adapted to the use requirements, thereby achieving the purpose of energy-saving management.

[0088] See also Figure 3 As shown, based on the dotted lines and right-angle marks in the figure, the deployment positions of the environment perception devices determined in Logic2 are further shown;

[0089] See also Figure 4 As shown, based on the arrow indications in the figure, the capture process of the road section that needs to be controlled is further demonstrated.

[0090] Embodiment 2:

[0091] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The multi-modal sensing fusion intelligent street lamp system in Example 1 is further described in detail:

[0092] An analysis method for a multi-modal sensor fusion intelligent street lamp system includes the following steps:

[0093] Step 1: Set the initial on / off control time domain of the street light, and control the path in real time based on the initial on / off control time domain of the street light;

[0094] Step 2: Set the street light turn-on trigger thresholds according to the ambient light intensity information, ambient visibility information, and dynamic target count information in the environmental information, obtain the latest environmental information in real time and compare it with the corresponding trigger thresholds, and control the street lights to turn on when the trigger thresholds are met;

[0095] Step 3: Based on the comparison of the continuously acquired environmental information with the corresponding trigger threshold, when the environmental information does not match the trigger threshold and is not in the street lamp on time domain in the initial on / off control time domain of the street lamp, the street lamp is controlled to be turned off;

[0096] Step 4: When the environmental information does not match the trigger threshold and is in the street light on time domain in the street light initial on / off control time domain, control the street light to remain on;

[0097] Step 5: Obtain the time of the street light on / off control, and generate a street light operation message based on the obtained result;

[0098] The street light on trigger threshold corresponds to the ambient light intensity information, ambient visibility information, and dynamic target count information, which are denoted as a, b, and c respectively;

[0099] The comparison logic between environmental information and trigger threshold is expressed as:

[0100]

[0101] Where: G MAX , L MAX 、M MAX The maximum ambient light intensity, ambient visibility, and dynamic target counting results perceived by each integrated sensing module 2 deployed in the street light distribution area in a single operation;

[0102] When any one of formula (1) or (2) and formula (3) are simultaneously established, the result is determined to be in compliance.

[0103] By executing the steps of the method in the above embodiment, the operating logic of the analysis module in the system in Example 1 is further limited, and the comparison logic of the environmental information and the trigger threshold is simultaneously limited to provide data support for the execution of the steps in this embodiment.

[0104] In summary, the system in the above embodiment combines the method during operation to intelligently control the street lights to adapt to the light intensity, visibility and pedestrian flow in the street light deployment area, and further adjusts the brightness of the street lights based on dynamic light intensity, visibility and pedestrian flow information, so that people passing by on the roads in the street light deployment area can better adapt to changes in ambient light, and it is less likely that there will be a large difference between the brightness of the road where the street light is located and the brightness of the area outside the road, requiring the user's eyes to leave the street light area and re-adapt to the ambient light, thereby effectively improving the lighting experience brought to users by the street light lighting service.

[0105] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-modal sensor fusion intelligent street light system, characterized in that: include: An uploading module (1) is used to upload street light distribution information and construct a street light distribution topology based on the street light distribution information; An integrated sensing module (2) for sensing environmental information of a street lamp distribution area; An analysis module (3) is used to receive environmental information of the street light distribution area sensed by the integrated sensing module (2), and use the environmental information to analyze and apply street light on / off control decisions; An evaluation module (4) is used to obtain environmental information of the street light distribution area sensed by the integrated perception module (2) and evaluate whether the street lights have a tendency to be re-controlled based on the environmental information; A capture module (5) is used to obtain the evaluation result of whether the street lamp has a tendency to be re-controlled in the evaluation module (4), and based on the evaluation result, capture the road section that needs to be re-controlled in the street lamp distribution topology; The configuration module (6) is used to receive the road section that needs to be re-controlled captured by the capture module (5), configure the street light re-control logic for the road section that needs to be re-controlled, and perform brightness adjustment control on the street lights on the road section that needs to be re-controlled based on the street light re-control logic.

2. According to claim 1, a multi-modal sensing fusion intelligent street lamp system is characterized in that: The street light distribution information uploaded in the uploading module (1) is the location information of the street lights deployed on the road. When executing the construction operation, the street light distribution topology is constructed based on the location information on the same side of the road to obtain a plurality of groups of street light distribution topologies. After the plurality of groups of street light distribution topologies are constructed, the storage operation is synchronously executed; The upload module (1) is provided with submodules at the lower level, including: A selection unit (11) is used to traverse the street light distribution topology constructed in the upload module (1) and select a deployment location of the environment sensing device on the street light distribution topology; The selection unit (11) runs to select the deployment location of the environmental perception device, i.e., the deployment location of the integrated perception module (2). The street light distribution topology is configured to be represented by a real coordinate scale. When constructing the street light distribution topology, the street lights are interconnected based on the location information of adjacent street lights to construct the street light distribution topology.

3. The multi-modal sensing fusion intelligent street lamp system according to claim 2, characterized in that: The selection unit (11) is operated in the stage of selecting the deployment location of the environment sensing device on the street lamp distribution topology, subject to: Logic 1: The node locations representing the location information of street lamps on the distribution topology of each street lamp are selected as the deployment locations of the environment sensing devices; Logic 2: Draw a perpendicular line at the endpoints of the two ends of the street light distribution topology with reference to the line segment where the endpoints are located. Use the perpendicular line as the mirror line to mirror the endpoints on the street light distribution topology adjacent to the endpoints to obtain the mirror point, which is used as the deployment location of the environment perception device. Among them, after the environment-aware device deployment location is selected based on Logic1 and Logic2, the system-side user manually selects again from the selected environment-aware device deployment location to finally confirm the application's environment-aware device deployment location.

4. The multi-modal sensing fusion intelligent street lamp system according to claim 1, characterized in that: The integrated sensing module (2) is integrated by an environment sensing device, and the environment sensing device includes: an ambient light sensor, a visibility sensor, and a camera; The environmental information sensed by the integrated sensing module (2) includes: ambient light intensity, ambient visibility, and dynamic target count. The integrated sensing module (2) performs real-time environmental information interaction based on a local area network, so that the environmental information sensed by all integrated sensing modules (2) can be read on any integrated sensing module (2). The street light distribution area, i.e., the street light distribution topology, corresponds to the area to which the street light deployment road belongs.

5. The multi-modal sensing fusion intelligent street lamp system according to claim 1, characterized in that: The evaluation logic of whether the street lamp has a tendency to be re-controlled in the evaluation module (4) is expressed as follows: The evaluation module (4) operates only when the street lamp is turned on; The environmental information is sorted based on the position relationship of the street lamps corresponding to the source integrated perception module (2) in the street lamp distribution topology, and the ambient light intensity, ambient visibility, and dynamic target count in the environmental information are respectively recorded as G i , G i+1 , G i+2 , ..., L i , L i+1 , L i+2 , ..., M i 、M i+1 、M i+2 , ...; Based on G i , G i+1 , G i+2 , ..., L i , L i+1 , L i+2 , ..., M i 、M i+1 、M i+2 , ..., compare the size of each adjacent two items; G i , G i+1 , L i , L i+1 , M i 、M i+1 For example: Where: i is the street lamp number; When any one of formulas (1), (2), and (3) is true, it means that G i+1 , L i+1 、M i+1 The street lights corresponding to the source integrated sensing module (2) have a tendency to be re-controlled.

6. The multi-modal sensing fusion intelligent street lamp system according to claim 1, characterized in that: The capture logic of the road section that needs to be controlled in the capture module (5) is: Obtain street lamps with a tendency to be re-controlled in the evaluation results, identify the positions of the street lamps in the street lamp distribution topology, discard all nodes corresponding to street lamps in the street lamp distribution topology that are not identified as having a tendency to be re-controlled, record the street lamps corresponding to the remaining nodes as street lamps that need to be re-controlled, and record the paths of the street lamps that need to be re-controlled and their adjacent street lamps in the street lamp distribution topology as road sections that need to be re-controlled; The number of street lights included in the road section that needs to be re-controlled is at least 1.

7. The multi-modal sensing fusion intelligent street lamp system according to claim 1, characterized in that: The control logic of the street lamps to be configured on the road section in the configuration module (6) is represented as follows: Obtain the location information of the adjacent street lights at both ends of the road section that needs to be controlled, and obtain the adjustable brightness range of the street lights. Calculate the two sets of environmental information, configure the minimum value in the street light brightness adjustment range for the street light with the smaller calculation result, and configure the minimum value in the street light brightness adjustment range for the street light with the larger calculation result, measure the number of street lights on the road section that needs to be controlled again, and adjust the brightness of each street light in a step-by-step manner; Among them, the street light brightness adjustment gear is Street light brightness adjustment Where: (K MAX , K MIN ) is the adjustable range of street light brightness; m all is the total number of street lights on the road section that needs to be re-controlled; m is the sequence number of the target street lights on the road section that needs to be re-controlled; K MAXor K MIN Indicates taking the maximum or minimum value, the starting end of the section that needs to be controlled is K MAX , ± is -, the starting end of the section that needs to be controlled is K MIN , ± takes +, The value is used to adjust the target brightness of the street light.

8. The multi-modal sensing fusion intelligent street lamp system according to claim 1, characterized in that: The upload module (1) is interactively connected to a selection unit (11) at its lower level via a wireless network; the upload module (1) is interactively connected to an integrated perception module (2) and an analysis module (3), namely an evaluation module (4), via a wireless network; and the evaluation module (4) is interactively connected to a capture module (5), namely a configuration module (6), via a wireless network.

9. An analysis method for a multi-modal sensor fusion intelligent street light system, characterized in that: The following steps are involved: Step 1: Set the initial on / off control time domain of the street light, and control the path in real time based on the initial on / off control time domain of the street light; Step 2: Set the street light turn-on trigger thresholds according to the ambient light intensity information, ambient visibility information, and dynamic target count information in the environmental information, obtain the latest environmental information in real time and compare it with the corresponding trigger thresholds, and control the street lights to turn on when the trigger thresholds are met; Step 3: Based on the comparison of the continuously acquired environmental information with the corresponding trigger threshold, when the environmental information does not match the trigger threshold and is not in the street lamp on time domain in the initial on / off control time domain of the street lamp, the street lamp is controlled to be turned off; Step 4: When the environmental information does not match the trigger threshold and is in the street light on time domain in the street light initial on / off control time domain, control the street light to remain on; Step 5: Obtain the time of the street light on / off control, and generate a street light operation message based on the obtained result.

10. The analysis method of a multi-modal sensing fusion intelligent street lamp system according to claim 9, characterized in that: The street light on trigger threshold corresponding to the ambient light intensity information, ambient visibility information, and dynamic target count information are denoted as a, b, and c respectively; The comparison logic between environmental information and trigger threshold is expressed as: Where: G MAX , L MAX 、M MAX The maximum ambient light intensity, ambient visibility, and dynamic target counting result perceived by each integrated sensing module (2) deployed in the street light distribution area in a single operation; When any one of formula (1) or (2) and formula (3) are simultaneously established, the result is determined to be in compliance.

Images