JP2023141088A - Street light and security light control system - Google Patents

Abstract

To provide a street light and security light control system capable of switching dimming appropriately by determining the height of safety on the basis of security and disaster information concerning the street light and security light control system.SOLUTION: The street light and security light control system includes lighting and a control unit connected to the lighting via a network. The control unit has a security information processing unit that determines the height of safety of the peripheral area of the lighting from safety-related information and a control determining unit that controls the dimming of the lighting on the basis of the height of safety.SELECTED DRAWING: Figure 1

Description

TECHNICAL FIELD The present disclosure relates to street light and security light control systems.

Typical street lights and security lights are set to turn on when the surrounding environment becomes dark and turn off when the surrounding environment becomes bright. In other words, if the surrounding environment is dark, the lights will continue to turn on even in places where there is no foot traffic. However, since there is no need to keep the lights on in places where there is no foot traffic, this setting poses the problem of wasted power consumption.

To solve this problem, Patent Document 1 discloses a system that turns on street lights only when necessary. Using motion detection sensors and near-field communication networks, the system's street lights are turned on before pedestrians or vehicles pass, and are turned off or dimmed when they are not needed.

Patent No. 6343745

When a crime or disaster occurs in the surrounding area, it is desirable to keep street lights and security lights turned on to ensure safety. However, the above method has a problem in that street lights and security lights in areas where there is no human traffic are automatically turned off or dimmed.

In order to solve the above-mentioned problems, the present disclosure aims to provide a street light and security light control system that can appropriately switch dimming by determining the level of safety from crime prevention and disaster information. do.

Preferably, an aspect of the present disclosure is a street light and security light control system including a lighting and a control unit connected to the lighting via a network. The control unit includes a crime prevention information processing unit that determines the level of safety of an area surrounding the lighting from information related to safety, and a control determining unit that controls dimming of the lighting based on the level of safety. It is preferable.

According to aspects of the present disclosure, it is possible to provide a street light and security light control system that can appropriately switch dimming by determining the level of safety from crime prevention and disaster information.

1 is a diagram showing a street light and security light control system according to Embodiment 1. FIG. 5 is a flowchart illustrating processing by a movement information processing unit according to the first embodiment. 5 is a flowchart showing processing of the crime prevention information processing unit according to the first embodiment. 5 is a flowchart illustrating processing of a control determining unit according to the first embodiment.

Embodiment 1
FIG. 1 is a diagram showing a street light and security light control system according to the first embodiment. The street light and security light control system 1 includes a control section 2. The control unit 2 is composed of, for example, a server, and is connected to the lights 7a to 7d via a plurality of communication networks. The lights 7a to 7d are, for example, street lights or security lights installed outdoors.

Further, the control unit 2 is connected to a plurality of information sources via a plurality of communication networks. In the first embodiment, five types of information are acquired from this information source. The location information 6a of vehicles and people is, for example, location information of a car navigation system included in a vehicle and a mobile phone owned by an individual. The route information 6b for vehicles and people is, for example, route information from a car navigation system owned by a vehicle and a mobile phone owned by an individual. The image information 6c of the security camera is, for example, image information of a local security camera. The crime-related information 6d is, for example, crime prevention information transmitted from the police or the like. The earthquake-related information 6e is, for example, earthquake information transmitted from the Japan Meteorological Agency or the like.

The control section 2 includes a movement information processing section 3 and a crime prevention information processing section 4. The movement information processing unit 3 determines the presence or absence of traffic of vehicles and people based on vehicle and person position information 6a, vehicle and person route information 6b, and security camera image information 6c. The crime prevention information processing unit 4 determines the level of safety based on the image information 6c of the security camera, the information 6d regarding crime, and the information 6e regarding earthquakes.

The control unit 2 also includes a control determining unit 5. The control determining unit 5 individually controls the dimming of the lights 7a to 7d based on the results determined by the movement information processing unit 3 and the security information processing unit 4.

Note that the above-mentioned communication network may be a wireless network or a wired network. For example, any network such as a WAN (Wide Area Network) or a LAN (Local Area Network) can be used.

Next, processing operations performed by the street light and security light control system will be explained. In Embodiment 1, processing operations will be described in a case where appropriate dimming control is performed using movement information of vehicles and people in addition to crime prevention and disaster information.

In conventional systems, human traffic was detected using motion detection sensors, which caused another problem: low detection accuracy and false detections caused by animals, resulting in wasted power consumption. By using the movement information of vehicles and people, it becomes possible to detect the presence or absence of traffic of vehicles and people with higher accuracy, and this problem can be solved. Therefore, in Embodiment 1, a mode is shown in which the dimming is appropriately switched based on a judgment that includes not only crime prevention and disaster information but also the presence or absence of traffic of vehicles and people.

FIG. 2 is a flowchart showing the processing of the movement information processing section according to the first embodiment. Using this flowchart, the processing operations performed by the movement information processing section 3 in order to determine "the presence or absence of traffic of vehicles and people" necessary for dimming control of a certain lighting n will be described.

First, in step S101, it is checked from the vehicle and person position information 6a whether or not a vehicle or person is detected within a specified range. For example, it is checked whether a person is detected in a designated area around the light n based on the position information of the car navigation system of the vehicle and the mobile phone of the individual. If not detected, the process proceeds to step S102; if detected, the process proceeds to step S105.

In step S102, it is checked from the vehicle and person route information 6b whether the vehicle or person will not arrive within a specified time. For example, based on the route information of the car navigation system of the vehicle and the mobile phone of the individual, it is confirmed whether or not anyone will reach the vicinity of the light n within a specified time. If not, the process advances to step S103; if it does, the process advances to step S105.

In step S103, it is checked from the image information 6c of the security camera whether a vehicle or a person is detected. For example, a vehicle or person is automatically detected using artificial intelligence or an image recognition function from image information from a security camera in the area photographing a designated area around the lighting n. If not detected, the process proceeds to step S104; if detected, the process proceeds to step S105.

When step S104 is reached, it is determined that "there is no traffic of vehicles or people" and the process returns to step S101. When step S105 is reached, it is determined that "vehicles or people are passing" and the process returns to step S101.

By performing each of the above-described processing operations, it is possible to determine whether or not there is any vehicle or human traffic in the surrounding area where the lights 7a to 7d are installed. Note that artificial intelligence may be used for this judgment.

FIG. 3 is a flowchart showing the processing of the crime prevention information processing unit according to the first embodiment. Using this flowchart, the processing operations performed by the crime prevention information processing section 4 in order to determine the "high level of safety" required for dimming control of a certain lighting n will be described.

First, in step S201, it is checked from the image information 6c of the security camera whether any dangerous behavior is confirmed. For example, based on image information from a security camera in the area photographing a designated area around the lighting n, it is automatically determined whether the behavior of a person in the image is dangerous or not using artificial intelligence or an image recognition function. This specified area may be the same area as the security camera in step S103, or may be an even wider area. If no dangerous behavior is confirmed, the process proceeds to step S202, and if it is confirmed, the process proceeds to step S205.

In step S202, it is checked from the crime-related information 6d whether the security is acceptable. For example, a list is prepared in advance that ranks the safety of the crime. When crime prevention information is sent by the police, etc., the list is referred to to confirm whether safety is acceptable. This list may be referred to by a person, or automatically by a machine by linking a specific code. If the safety is acceptable, the process proceeds to step S203, and if not, the process proceeds to step S205.

In step S203, it is confirmed from the earthquake information 6e whether evacuation is necessary. For example, a list is prepared in advance that ranks the necessity of evacuation based on seismic intensity and tsunami information. When earthquake information is transmitted by the Japan Meteorological Agency, etc., the list can be referred to to confirm whether evacuation is necessary. This list may be referred to by a person, or automatically by a machine by linking a specific code. If evacuation is not necessary, the process advances to step S204; otherwise, the process advances to step S205.

If step S204 is reached, it is determined that "safety is high" and the process returns to step S201. If step S205 is reached, it is determined that "security is low" and the process returns to step S201.

By performing each of the above processing operations, it is possible to determine the level of safety in the surrounding area where the lights 7a to 7d are installed. Note that artificial intelligence may be used for this judgment.

FIG. 4 is a flowchart showing the processing of the control determining unit according to the first embodiment. Using this flowchart, the processing operations performed by the control determining unit 5 regarding the determination of dimming control of the lighting n in the lighting state will be described.

First, in step S301, it is confirmed whether there is "no vehicle or person traffic". That is, if the movement information processing unit 3 determines that there is "no vehicle or person traffic," the process proceeds to step S302, and if it determines that there is "vehicle or person traffic," the process proceeds to step S304.

Next, in step S302, it is checked whether "security is high". That is, if the crime prevention information processing unit 4 determines that the security is high, the process proceeds to step S303, and if the security information processing unit 4 determines that the security is low, the process proceeds to step S304.

In step S303, the lighting n is dimmed or turned off. When step S303 is reached, the environment surrounding the lighting n is in a state where there is "no traffic or people" and "high safety", so it can be determined that there is no need to maintain dimming. Therefore, priority is given to suppressing power consumption by dimming or extinguishing the illumination n.

In step S304, the illumination n is processed so as not to be dimmed or turned off. If step S304 is reached, it is determined that dimming should be maintained from the viewpoint of safety or crime prevention because the surrounding environment of the lighting n is such that there is "traffic of vehicles or people" or "safety is low". can. Therefore, by maintaining the dimming of the lighting n, safety and crime prevention are improved.

By performing each of the above-described processing operations, appropriate dimming control can be performed in the surrounding area where the lights 7a to 7d are installed, depending on the level of safety and the presence or absence of human traffic.

1 Street light and security light control system 2 Control unit 3 Movement information processing unit 4 Crime prevention information processing unit 5 Control determining unit 6a Location information of vehicles and people 6b Route information of vehicles and people 6c Image information of security cameras 6d Information regarding crime 6e Earthquake information 7a, 7b, 7c, 7d Lighting

Claims (7)

comprising a lighting and a control unit connected to the lighting via a network,
The control unit,
a crime prevention information processing unit that determines the level of safety in the area surrounding the lighting from information related to safety;
A street light and security light control system, comprising: a control determining unit that controls dimming of the lighting based on the level of safety. The control unit,
A movement information processing unit that determines whether there is traffic of vehicles and people in the area surrounding the lighting from information related to traffic of vehicles and people,
The street light and security light control system according to claim 1, wherein the control determining unit controls the dimming of the lighting based on the presence or absence of traffic of the vehicles and people in addition to the level of safety. The control determining unit controls dimming of the lighting,
Dim or turn off lights only when it is safe and there is no traffic or traffic.
The street light and security light control system according to claim 2, wherein in other cases, the dimming of the lighting is maintained. The information related to safety is
The street light and security light control system according to claim 1, wherein the street light and security light control system is at least one of image information of a security camera, information regarding a crime, and information regarding an earthquake. Information related to the traffic of vehicles and people,
The street light and security light control system according to claim 2, wherein the street light and security light control system is at least one of position information or route information from a car navigation system and a mobile phone included in a vehicle, and image information from a security camera. The street light and security light control system according to claim 1, wherein the crime prevention information processing unit uses artificial intelligence to determine the level of safety. The street light and security light control system according to claim 2, wherein the movement information processing unit uses artificial intelligence to determine whether there is traffic of vehicles or people.

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