KR102135598B1 - IoT based intelligent street light control system - Google Patents

Abstract

The present invention relates to an IoT-based intelligent street light lighting control system, and more specifically, to an IoT-based intelligent street light lighting control system wherein the intensity of light which is measured around an LED street light through an intelligent street light lighting control terminal device is autonomously adjusted by gradually increasing or decreasing the intensity of an LED so that the illuminance value approaches a reference illuminance value, and which provides a function to produce various colors by autonomously controlling the wavelength of an LED lamp (30) for street light, autonomously self-checks the operation state of an illuminance value receiving unit (110), an LED illumination brightness self-regulating unit (120), and an LED lighting color self-regulation unit (130) and the failure state of an intelligent street light lighting control terminal device (RTU, 100), wherein the illuminance value receiving unit (110), the LED illumination brightness self-regulating unit (120), the LED lighting color self-regulation unit (130) are installed in the LED street light (10) and are objects to be inspected, and generates failure information and RTU failure information for each object to be inspected according to an inspection result to provide the generated failure information to an integrated control server (200) using an IoT communication network.

Description

Internet of Things (IoT based) intelligent street light control system

The present invention relates to an intelligent street light lighting control system based on the Internet of Things, and more specifically, to gradually increase the brightness of the LED so that the illuminance value measured around the LED street light approaches the reference illuminance value through the intelligent street light illumination control terminal device. It provides a function to autonomously control the intensity of light by lowering it, and to autonomously adjust the wavelength of the LED lamp 30 for street lamps to produce various colors, and the illumination value receiving unit 110, which is an object to be inspected, installed on the LED street lamp 10. The LED lighting brightness autonomous adjustment unit 120 and the LED lighting color autonomous adjustment unit 130 autonomously check the operation status and the failure state of the intelligent street light lighting control terminal device (RTU, 100), and each subject to be inspected according to the inspection result The present invention relates to an intelligent street lamp lighting control system based on the Internet of Things for generating failure information and RTU failure information and providing the generated failure information to the integrated control server 200 using the IoT communication network.

The term Internet of Things (IoT) first appeared in the Massachusetts Institute of Technology (MIT) Auto-ID Lab in 1998.

Since the annual report of'The Internet of Things' was published at ITU-T in 2005, the Internet of Things announced that it would be the most basic framework for all structures of the future information technology (IT) industry revolution.

The report defined the Internet of Things as "a new information and communication infrastructure that connects all things that exist in the world with a network so that people and objects, things and things can communicate with each other anytime, anywhere."

The Internet of Things means that devices connected to a network exchange information smartly with each other without human intervention.

The notion that things do not depend on humans to communicate is similar to Ubiquitous, or Machine to Machine (M2M).

However, M2M refers to the technology that makes all information interact by expanding it to the Internet, while emphasizing only the concept of communication between devices.

Specifically, in order to implement the Internet of Things, a sensor that obtains information from the surrounding environment, a communication network network that supports connection to a network, and a service interface technology that processes, processes, and processes information according to service fields and forms are required.

In addition, security technology to protect the control of device leakage and data leakage is also important.

In order to spread the Internet of Things in earnest, a suitable network is required.

In general, the Wi-Fi network we use at home is not a bad thing as a wireless network.

However, because of the large bandwidth, instead of having a large amount of data transmission, power consumption tends to be high and the signal's reach is short.

The Internet of Things refers to a technology or environment in which data is exchanged in real time by attaching sensors to objects.

Devices connected to the Internet can send and receive information directly without human assistance, and previously used technologies such as Bluetooth and short-range wireless communication (NFC).

However, Bluetooth, Near Field Communication (NFC), etc. were available for communication only at a short distance, and had to be connected to a separate wired/wireless Internet.

For this reason, there has been a movement to separately define and install dedicated networks optimized for IoT devices.

IoT-only technologies include LTE-M and NB-IoT used in licensed bands, and SIGFOX and LORA in unlicensed bands.

The Internet of Small Things, which is made by low-power long-distance wireless communication, is a network in which objects that transmit data with a battery without power are connected.

LORA is a technology that connects various things to a network using LTE. LORA can share all infrastructure information within LTE coverage.

LORA is simpler in structure than LTE-M. The protocol is performed between the device and the network server, and the base station simply transfers the wireless reception packet to the backhaul section.

As such, the structure of the base station equipment and terminal is simple.

LORA has a wide signal transmission range, low frequency interference, and high security, making it easy to distribute.

In addition, it is a low-cost, low-power, low-capacity transmission technology that can be operated with only a battery without requiring a small amount of data transmission and constant power.

On the other hand, NB-IoT is one of low-power wide-area (LPWA) low-power wide-area Internet of Things (IoT) technologies using LTE frequency, and is used for tracking, sensing, and meter reading that intermittently transmits low-capacity data.

Specifically, for example, a sensing service that monitors water, gas, electricity metering and air quality measurement systems, location tracking services (tracking the elderly, managing pets, preventing loss of bicycles), fire, hazardous gas, etc. or detecting building cracks It is used for control services such as building automation, home automation, and amusement park management.

Because NB-IoT is ultra-low power, it can be used for a long time without replacing the battery.

Since the objects with sensors are connected to the LTE network, the user can remotely control the objects anytime, anywhere, and control between objects by mutual communication.

In particular, since it can be implemented only by software upgrade without building a separate device, the cost burden is less than that of existing IoT networks such as Zegbee.

Meanwhile, with the exponential growth of LED lighting, various integrated circuit devices that supply controlled power to LEDs are appearing one after another.

DC current sources with high power consumption have been used as a standard for a long time, but in recent years, energy problems have emerged as a serious issue and have been naturally replaced by switching mode LED drivers.

Presently, precise control of constant current is required in a wide range of fields from flashlights to billboards in stadiums. In most cases, it is necessary to adjust the LED output intensity from time to time.

This function is called dimming control, and various dimming control methods have been developed.

In addition, in the streetlight and security light, the trend of adopting LED lighting that saves power consumption is a trend.

In particular, it is common for street lights and security lights that adopt LED lights to have a poor installation environment, so that the rated power of the set LED lights cannot be used accurately.

LED lighting used for street lights and security lights has a characteristic that its power consumption is very flexible at 180~240W depending on the supply voltage state.

If it is repeated over a long period of time that the LED lighting cannot be used at a set rated power, the life of the LED lighting may be affected.

As a control system for LED lighting using wireless communication, Korean Patent Publication No. 10-1306762 discloses a wireless communication-based LED lighting control system and method.

The document includes a control computer having a communication means of the Internet network, a Zigbee gateway connected to the control computer through a mobile communication network or an Internet network, and a Zigbee gateway having a Zigbee wireless communication means, and the Zigbee gateway and the Zigbee wireless communication. And at least one LED dimming controller connected, and the control computer sets a rated power threshold value of the LED lighting and transmits it to the at least one LED dimming controller through the Zigbee gateway, and the at least one LED dimming controller Receives the rated power threshold value and performs dimming control of the LED light using it as the dimming reference power value, measures the current active power of the LED light in the LED dimming controller, and compares it with the dimming reference power value. If it matches, the measured effective power value data is transmitted to the control computer, and the control computer analyzes the life of the LED lighting based on the received active power data. Systems and methods are disclosed.

In the LED lighting control system using the ZigBee wireless communication of the above document, the ZigBee wireless communication is determined by the maximum output of the distance-constrained communication technology, and it is necessary to integrate with a wire for distance extension, and it is impossible to provide additional services.

Therefore, by constructing a road lighting system using the Internet of Things, a sensor capable of detecting road users is attached to each pillar of a security lamp, and the street lamp/security lamp It is necessary to adjust the brightness automatically.

On the other hand, street light controllers that detect and illuminate night and day illumination and unidirectional communication control systems using street light programs are common.

The unidirectional communication street light control system controls the street light control system as a whole, and for this purpose, the main control device generated by including the control signal in the area code and the area code included in the control signal received by receiving the control signal of the main control device If it corresponds to a preset area code, it is composed of a plurality of street light controllers that control the assigned street light fixtures, and a plurality of street light fixtures that are controlled by the street light controller and illuminate the streets, but are assigned unique numbers.

The streetlight controller of such a conventional streetlight control system can remotely control the streetlight fixture, but it is possible to control the power saving by controlling the brightness of the streetlight fixture, or the state of the streetlight fixture can not be checked remotely. There was.

Accordingly, there is a need for a remote dimming-controlled streetlight system capable of reducing power maintenance by controlling the brightness of the streetlight in accordance with changes in ambient light and preventing waste of power and checking the streetlight fixtures in real time.

On the other hand, government departments and local governments have recently built and operated an integrated control room in the office building to manage and manage the street light facilities scattered in the halls they manage.

In order to operate a plurality of street light facilities located in the hall in one integrated control room, the person in charge must be present and monitored 24 hours a day, 365 days a week to find and take action.

Therefore, many operating personnel are deployed in the integrated control room to monitor the facilities 24 hours a day and night.

In the case of local governments, the person in charge of the relevant department performs various tasks. When monitoring is performed in the integrated control room, difficulties arise that cannot be seen in other tasks.

In addition, a work load is inevitable because it is necessary to go directly to the field and check with the expert technicians in each field for regular inspections or emergency inspections. Frequently, it was impossible to cope.

Therefore, the manager not only conducts regular inspections or emergency inspections, but also detects the presence or absence of failures in real time prior to the failure of street light facilities in normal times, and informs the integrated control room and the relevant department manager in advance of failures in case of failure. There is a need for an intelligent street lighting control system based on the Internet of Things that prevents the future.

Republic of Korea Registered Patent Publication No. 10-1306762

Therefore, the present invention has been proposed in view of the problems of the prior art as described above, and the first object of the present invention is to provide an LED of the LED so that the illuminance value measured around the LED street light approaches the reference illuminance value through the intelligent street light lighting control terminal device. It is to provide a function to autonomously adjust the intensity of light by gradually increasing or decreasing the light intensity, and to autonomously adjust the wavelength of the LED lamp 30 for a street light to produce various colors.

The second object of the present invention is the illumination condition receiving object 110, the LED illumination brightness autonomous adjustment unit 120 and the LED illumination color autonomous adjustment unit 130, which are the objects to be inspected, installed on the LED streetlight 10 and intelligent streetlight lighting The control terminal device (RTU, 100) autonomously checks the failure status of itself, generates failure information and RTU failure information for each subject to be inspected according to the inspection results, and uses the Internet of Things (IoT) communication network for the integrated control server ( 200).

The third object of the present invention is that when the integrated control server 200 acquires the failure information from the intelligent street light lighting control terminal device, it outputs the failure information in a pop-up format, and simultaneously generates a warning sound and outputs it through a speaker, By generating a text message for the failure information and sending it to the registered manager terminal 300, in addition to regular inspections or emergency inspections, it is possible to detect the presence or absence of a failure in real time before the failure occurs for street light facilities in normal times. The purpose of this is to prevent the failure of street lamps in advance by notifying the integrated control room and the relevant department manager in advance.

In order to achieve the problem to be solved by the present invention, the intelligent street lighting control system based on the Internet of Things,

An illuminance value receiving unit 110 for receiving the measured illuminance value from the illuminance sensor 20 constructed and installed in the LED street light 10;

When the illuminance value received by the illuminance value receiving unit is obtained, and compared with a preset reference illuminance value, when the brightness of the LED lamp configured in the LED street light is increased to a reference illuminance value when it is lower than the reference illuminance value, when it is higher than the reference illuminance value LED lighting brightness auto-adjustment unit 120 for lowering the brightness of the LED lamp to a standard illuminance value;

Includes; LED lighting color autonomous control unit 130 for autonomously adjusting the wavelength of the LED lamp 30 configured in the LED street light according to the visible distance information or scenario information to produce various colors.

The IoT-based intelligent street light lighting control system according to the present invention having the above configuration and operation,

Through the intelligent streetlight lighting control terminal device, the intensity of light is gradually adjusted or lowered by gradually increasing or decreasing the brightness of the LED so that the illuminance value measured around the LED streetlight approaches the reference illuminance value, and the wavelength of the LED lamp 30 for the streetlight is adjusted. By providing a function to autonomously adjust to produce various colors, the brightness of the LED can be autonomously adjusted according to the change in ambient light to prevent the waste of power caused by power saving operation and the effect to secure the surrounding field of view. It is possible to produce a variety of colors by autonomous control, providing an effect to make the surrounding landscape more beautiful.

In addition, the operation status and intelligent streetlight lighting control terminal device (RTU) of the illumination value receiving unit 110, the LED lighting brightness autonomous adjustment unit 120 and the LED lighting color autonomous adjustment unit 130, which are objects to be inspected, installed in the LED street light 10 , 100) By autonomously inspecting the failure state of itself, generating failure information and RTU failure information for each subject to be inspected according to the inspection results, and providing the generated failure information to the integrated control server 200 using the Internet of Things communication network In addition to regular inspections and emergency inspections, street light facilities are notified of the presence of failures before they break down in real time. It has the effect of preventing.

In addition, the integrated control server 200, when obtaining the failure information from the intelligent street light lighting control terminal device 100, outputs the failure information in a pop-up format, and at the same time generates a warning sound and outputs through the speaker, the failure By generating a text message for information and sending it to the registered manager terminal 300, it provides an effect to induce a preliminary check for a failure, and a number of intelligent street light lighting by the integrated control server 200 It is possible to flexibly and efficiently manage a plurality of sites by periodically performing a full autonomous inspection by providing a coordinated operation of the control terminal device 100.

Therefore, the administrator can operate and monitor in any environment, such as PC, web, and application, regardless of the location, and it is possible to check the illuminance sensor, LED lamp, etc., which are the target of failure in real time, and easily identify the cause of the problem, Accordingly, it is possible to exert the effect of taking countermeasures.

1 is an overall configuration diagram of an intelligent street lighting control system based on the Internet of Things according to the present invention.
2 is a conceptual diagram of an intelligent street lighting control system based on the Internet of Things according to the present invention.
3 is a block diagram of an intelligent street lamp autonomous inspection unit 130 of an intelligent street light lighting control system based on the Internet of Things according to the present invention.
4 is a block diagram of an intelligent street lamp autonomous inspection unit 130 for artificial intelligence learning of an intelligent street lamp lighting control system based on the Internet of Things according to the present invention.
5 is a block diagram of an integrated control server 200 of an intelligent street lighting control system based on the Internet of Things according to the present invention.
6 is an exemplary view of a screen that is output when a streetlight failure occurs by the operation of the integrated control server 200 of the IoT-based intelligent streetlight lighting control system according to the present invention.

The following merely illustrates the principles of the present invention. Therefore, those skilled in the art, although not explicitly described or illustrated in the specification, can implement the principles of the present invention and invent various devices included in the concept and scope of the present invention.

In addition, all conditional terms and examples listed in this specification are intended to be understood in principle only for the purpose of understanding the concept of the present invention, and should be understood as not limited to the examples and states specifically listed in this way. do.

In describing the present invention, terms such as first and second may be used to describe various components, but components may not be limited by terms.

For example, the first component may be referred to as a second component without departing from the scope of the present invention, and similarly, the second component may be referred to as a first component.

When a component is referred to as being connected to or connected to another component, it may be understood that other components may exist in the middle, although they may be directly connected to or connected to the other components. .

The terminology used herein is only used to describe a specific embodiment, and is not intended to limit the present invention, and a singular expression may include a plurality of expressions unless the context clearly indicates otherwise.

In this specification, terms such as include or include are intended to designate the existence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, one or more other features or numbers, It may be understood that the existence or addition possibilities of steps, actions, components, parts or combinations thereof are not excluded in advance.

Hereinafter, a preferred embodiment of the intelligent street lighting control system based on the Internet of Things according to the present invention will be described based on the accompanying drawings. However, the scope of rights of the present invention should be grasped by describing the claims. In addition, descriptions of well-known technologies that obscure the subject matter of the present invention are omitted.

1 is an overall configuration diagram of an intelligent street lighting control system based on the Internet of Things according to the present invention.

As shown in Figure 1, the present invention, the Internet of Things-based intelligent street light lighting control system,

It is installed on the LED street light (10) and controls the brightness and lighting color of the LED lamp, generates fault information, and provides it to the integrated control server (200) using the IoT communication network.

It comprises an integrated control server 200 that stores and manages fault information provided by the intelligent street light lighting control terminal device (RTU, 100) and performs fault event processing using the fault information.

Installed on the LED street light 10, and controls the brightness and lighting color of the LED lamp, generates fault information, and provides it to the integrated control server 200 using the Internet of Things communication network.

Receives the measured illuminance value from the illuminance sensor 20 installed in the LED street light 10 and compares the received illuminance value with a preset reference illuminance value to turn on/off the LED lamp 30. LED lighting brightness control unit 110 for controlling, and differently controlling the brightness of the LED lamp 30 for each time period when the LED lamp 30 is turned on;

An LED lighting color autonomous control unit 120 for autonomously adjusting the wavelength of the LED lamp 30 configured in the LED street light according to visible distance information or scenario information to produce various colors;

The operation status and intelligent streetlight lighting control terminal device (RTU, 100) of the illumination value receiving unit 110, the LED lighting brightness autonomous adjustment unit 120 and the LED lighting color autonomous adjustment unit 130, which are objects to be inspected, installed on the LED street light 10 ) Intelligent street lamp that autonomously checks its own failure status, generates failure information and RTU failure information for each subject to be inspected according to the inspection results, and provides the generated failure information to the integrated control server 200 using the IoT communication network. Autonomous inspection unit 130; characterized in that comprises a.

The LED lighting brightness autonomous control unit 110 receives the current illuminance value around the LED street light 10 from the illuminance sensor 20 installed in the LED street light 10.

At this time, the LED lighting brightness auto-adjustment unit 110 controls the on/off (OFF) of the LED lamp 30 by comparing the received illuminance value with a preset reference illuminance value.

Specifically, if the received illuminance value in the state where the LED lamp 30 is off (OFF) is equal to or less than a preset first reference illuminance value, the LED lamp 30 is turned on and the LED lamp 30 is turned on ( ON), the LED lamp 30 is turned off when the received illuminance value is greater than or equal to a preset second reference illuminance value.

The first reference illuminance value is an illuminance value for determining sunset, and the second reference illuminance value is an illuminance value for determining sunrise.

The time of sunset and sunrise is different depending on the season. Therefore, if the current LED lamp 30 is in an OFF state (the street light is not illuminated because it is low) and the illuminance around the street light is equal to or less than the first reference illuminance value that can determine the sunset, the LED lamp is judged as the sunset state. (30) is turned on (ON) to start to illuminate the surroundings, and the LED lamp 30 is currently turned on (the streetlight is lighting up at night) and the illuminance around the streetlight determines the sunrise. If it is equal to or greater than the second reference illuminance value, the LED lamp 30 is judged as the sunrise state and the LED lamp 30 is turned off.

In addition, the LED lighting brightness autonomous control unit 110 is determined to be sunset, and when the LED lamp 30 is turned on, the brightness of the LED lamp 30 is differently controlled for each time period.

Specifically, the brightness of the LED lamp 30 is increased by a set ratio at a set time interval from the time when the LED lamp 30 is initially turned on because it is judged to be a sunset, and then at every time interval after a set specific time The brightness of (30) is reduced by a set ratio.

For example, when sunset at 7 PM in the summer, the LED lamp 30 is first turned on from 7 PM to start lighting. Between 7 PM and 8 PM, the brightness of the LED lamp 30 is increased. With A-Lux, the brightness of the LED lamp 30 is between 120% of A between 8:00 and 9:00 PM, and the brightness of the LED lamp 30 is between 140% of A between 9 and 10 PM, Between 10 PM and 11 PM, the brightness of the LED lamp 30 is controlled to 160% lux of A, and between 11 PM and 12 PM, the brightness of the LED lamp 30 is controlled to 180% of A, and a specific time is set. From midnight, midnight to 1 am, the brightness of the LED lamp 30 is 160% lux of A, between 1 am and 2 am, the brightness of the LED lamp 30 is 140% lux of A, and dawn Between 2 am and 3 am, the brightness of the LED lamp 30 is controlled to 120% of A, and between 4 am and sunrise, the brightness of the LED lamp 30 is controlled to A look.

As in the above example, the reason why the brightness of the LED lamp 30 is increased by a set ratio (for example: 20%) at every set time interval (for example: 1 hour interval) after sunset is that there is some brightness by sunlight right after sunset. This is to reduce unnecessary waste of power by replacing the brightness of the LED lamp 30 as much as the brightness of the sunlight disappears because the brightness of the sunlight disappears as the night deepens. That is, the brightness of the LED lamp 30 is increased so that the brightness of the LED lamp 30 disappears unnecessarily from immediately after sunset, and the brightness caused by sunlight disappears over time.

In addition, the reason why the brightness of the LED lamp 30 is reduced by a set ratio (for example, 20%) for each time interval (for example: 1 hour interval) after a specific time point (for example, midnight) set as in the above example is a lot of people. This is to reduce unnecessary waste of electricity during the dawn time that does not move around. That is, the brightness of the LED lamp 30 is reduced from a specific point in time (eg, midnight) when a lot of people do not move, and the LED lamp 30 is turned off when the sunrise occurs.

The LED lighting color autonomous control unit 120 controls the wavelength of the LED lamp 30 configured in the LED street light and controls the color of the LED lamp 30 configured in the LED street light.

Specifically, the LED lighting color autonomous control unit 120 adjusts the wavelength of the LED lamp 30 based on the weather information provided by the integrated control server 200. In the situation where the visible distance is short due to the weather information, the wavelength is longer than usual. LED light 30 is controlled to emit light.

Here, the situation in which the visibility is short means a situation in which heavy rain or heavy snow falls, a situation in which fog occurs, or a situation in which yellow dust occurs.

That is, since the light of the long wavelength reaches farther than the light of the short wavelength, the LED lighting color autonomous control unit 120 is less than normal to secure the visible distance when the visibility distance is short due to the weather information provided by the integrated control server 200 It is to control the LED lamp 30 to emit light of a longer wavelength.

In addition, the LED lighting color autonomous controller 120 performs a function of adjusting the color of the LED lamp 30 according to preset scenario information.

In this case, the LED lamp 30 is provided with various colors of LED lamps, such as a white LED lamp, a red LED lamp, a green LED lamp, and a blue LED lamp.

For example, according to the preset scenario information, the white LED lamp lights up between 7 PM and 8 PM, the red LED lamp lights up between 8 PM and 9 PM, and the green LED lamp lights between 9 PM and 10 PM. The blue LED lamp can be turned on between 10 and 11 pm.

The reason why the LED lamp 30 is lighted in various colors for each time period is to improve the interior aesthetics compared to a conventional street light that is only lit in white or daylight.

Accordingly, the LED lighting color autonomous control unit of the present invention performs a function of adjusting the wavelength of the LED lamp 30 configured in the LED street light according to the weather information and the color of the LED lamp 30 configured in the LED street light according to the scenario information. For example, 120, for example, in a normal viewing distance is not bad, according to the scenario information, the white LED lamp lights up from 7 to 8 pm, the red LED lamp lights up from 8 to 9 pm, and 9 pm Green LED lamps are turned on between ~ 10 PM, and blue LED lamps are turned on between 10 PM and 11:00 PM, but the visibility is short due to weather information (such as heavy rain or heavy snowfall or fog). , When yellow dust occurs, etc.), it emits white light with a longer wavelength than usual between 7 PM and 8 PM, and emits a red light with a longer wavelength between 8 PM and 9 PM, and 9 PM Between 10 o'clock and 10 o'clock, green light with a longer wavelength than normal is emitted, and between 10 and 11 p.m., blue light with a longer wavelength than normal is emitted.

The intelligent street lamp autonomous inspection unit 130 is intelligent and the operating state of the illumination sensor 20 and the LED light brightness autonomous adjustment unit 110 and the LED light color autonomous adjustment unit 120 installed on the LED street light 10 as an autonomous inspection object. Autonomous inspection of the operating status of the street light lighting control terminal device (RTU, 100), generation of failure information and RTU failure information for each subject to be inspected according to the inspection results, and integrated control of the generated failure information using the Internet of Things communication network It performs the function provided by the server 200.

3 is a block diagram of an intelligent street lamp autonomous inspection unit 130 of an intelligent street lamp lighting control system based on the Internet of Things according to the present invention.

As shown in FIG. 3, the intelligent street lamp autonomous inspection unit 130,

In order to autonomously check the operation state of the illuminance sensor 20, an illuminance sensor autonomous inspection signal is generated and transmitted to the illuminance sensor according to the preset illuminance sensor autonomous inspection schedule information, and a response signal to the autonomous inspection signal from the illuminance sensor 20 If it is determined to be normal, if the response signal is not obtained, the illumination sensor autonomous inspection module 131 for generating illumination sensor failure information including unique identification information of the illumination sensor;

In order to autonomously check the operation state of the LED lighting brightness autonomous control unit 110, the LED lighting brightness autonomous adjustment unit generates an autonomous check signal according to the preset LED lighting brightness autonomous adjustment schedule autonomous inspection schedule information to the LED lighting brightness autonomous adjustment unit When transmitting, and acquiring a response signal for an autonomous check signal from the LED lighting brightness autonomous controller 110, it is determined as normal, and if a response signal is not obtained, the LED lighting brightness autonomous adjustment including unique identification information of the LED lighting brightness autonomous controller is obtained. LED lighting brightness autonomous inspection module 132 for generating secondary failure information;

In order to autonomously check the operation status of the LED lighting color autonomous control unit 120, it generates an autonomous check signal for the LED lighting color autonomous control unit according to preset autonomous inspection schedule information and transmits it to the LED lighting color autonomous adjustment unit, If the response signal for the autonomous check signal is obtained from the lighting color autonomous control unit 120, it is determined as normal, and if the response signal is not obtained, the LED light color autonomous control unit failure information including the unique identification information of the LED light color autonomous control unit is generated. LED lighting color autonomous inspection module 133;

In order to autonomously check the operation status of the intelligent street light lighting control terminal device (RTU, 100), an RTU autonomous check signal is generated and transmitted to the central control module 135 according to preset RTU autonomous check schedule information, and the RTU autonomous check signal If the response signal of the central control module is obtained, it is determined to be normal. If the response signal is not obtained, the RTU autonomous inspection module is used to generate RTU failure information including unique identification information of the intelligent street light lighting control terminal device (RTU, 100). (134);

Control the operation of each component constituting the intelligent street light lighting control terminal device (RTU, 100), and when receiving the RTU autonomous check signal, the operation of each component constituting the intelligent street light lighting control terminal device (RTU, 100) A central control module that checks the status and provides a response signal to the RTU autonomous check module 134 if all components are normal and does not provide a response signal to the RTU autonomous check module 134 if any of the components is abnormal ( 135);

Integrated control server through the Internet of Things fault information generated by the illuminance sensor autonomous check module 131, LED light brightness autonomous check module 132, LED light color autonomous check module 133, and RTU autonomous check module 134 It is characterized in that it is configured to include; IoT wireless communication module 136 to be transmitted to (200).

In detail, the illuminance sensor autonomous inspection module 131 generates an autonomous illuminance sensor signal according to the preset illuminance sensor autonomous inspection schedule information to autonomously inspect the operation state of the illuminance sensor 20 and transmits it to the illuminance sensor When the response signal for the autonomous check signal is obtained from the illumination sensor, it is determined to be normal. If the response signal is not obtained, the unique identification information of the corresponding illumination sensor is extracted, and the illumination sensor failure information including the unique identification information is generated.

For example, if an autonomous sensor signal of'AUTO_REQUEST#ID:1-Light Sensor#2019-10-20-09:01' is generated according to the preset autonomous inspection schedule information, and transmitted to the corresponding illuminance sensor, If the signal of'ID:1-Light Sensor#OK#2019-10-20-09:01' is acquired as a response signal, it is judged as normal, but it is applicable when the above self-check response signal is not obtained Illumination sensor failure information of'ID:1-Light Sensor#ERROR#2019-10-20-09:01', including'ID:1-Light Sensor' which is the unique identification information of the illumination sensor and'ERROR' of the failure information Will generate

In addition, as shown in FIG. 4, the illumination sensor autonomous inspection module 131 continuously learns whether to obtain an illumination sensor response signal for an autonomous inspection signal, and the illumination sensor does not send a response signal using the learning result. It comprises an artificial intelligence illuminance sensor learning module (131A) for generating learning result information of an illuminance sensor abnormality that is statistical information about time, season, and weather.

The illuminance sensor autonomous check module 131 generates an autonomous check signal several times a day according to the preset illuminance sensor autonomous check schedule information to autonomously check the operation status of the illuminance sensor, transmits it to the illuminance sensor, and responds to the autonomous check signal Check whether the illuminance sensor is abnormal or not based on whether the signal is acquired.

At this time, the artificial intelligence illuminance sensor learning module 131A continuously learns whether to acquire a response signal for the autonomous inspection signal of the illuminance sensor by time, season, and weather.

For example, the autonomous check signal is sent to the illuminance sensor, and the time when the illuminance sensor does not send a response signal is 10 am, the season is summer, and the weather is cloudy.

As described above, the artificial intelligence illuminance sensor learning module 131A performs learning on whether the illuminance sensor is autonomously inspected and whether the response signal is not sent, and information on the illuminance sensor abnormality occurrence that is statistical information about time, season, and weather that does not send a response signal. Will generate

The generated illumination sensor abnormality learning result information is transmitted to the integrated control server 200 through the IoT wireless communication module 136 and is used as a basic data for changing the illumination sensor inspection cycle.

That is, the artificial intelligence illuminance sensor learning module 131A uses the illuminance sensor abnormal occurrence learning result information to identify the time, season, and weather at which an abnormality occurs frequently, and when the abnormality occurs frequently, season, or weather, the illuminance sensor The autonomous inspection module 131 generates and controls an illumination sensor autonomous inspection signal to be transmitted to the illumination sensor in a cycle shorter than the inspection period in the autonomous inspection schedule information.

For example, according to the learning result information of the occurrence of the abnormality of the illuminance sensor, if it is learned that the frequency of not sending a response signal in the morning, summer, or cloudy day is high, in the morning, summer, and cloudy day, the illuminance sensor autonomously checks with a shorter inspection cycle than usual. The signal is generated and transmitted to the illuminance sensor (eg, normally, the autonomous check signal is transmitted to the illuminance sensor every 3 hours, but it is transmitted every hour in the morning, summer, and cloudy days).

The LED lighting brightness autonomous inspection module 132 autonomously checks the LED lighting brightness autonomous adjustment unit according to the preset LED lighting brightness autonomous adjustment unit autonomous inspection schedule information to autonomously check the operation state of the LED lighting brightness autonomous adjustment unit 110 Generates a signal and transmits it to the LED lighting brightness autonomous control unit, and if a response signal for an autonomous check signal is obtained from the LED lighting brightness autonomous control unit 110, it is judged as normal, and if a response signal is not obtained, the LED lighting brightness autonomy adjustment is performed. It performs the function of extracting the unique identification information of the wealth and generating failure information of the LED lighting brightness autonomous control unit including the unique identification information.

For example, according to the preset LED lighting brightness autonomous control unit 110 autonomous inspection schedule information, the LED lighting brightness autonomous adjustment unit 120 called'AUTO_REQUEST#ID:1-LED brightness#2019-10-20-09:01' ) When an autonomous check signal is generated and transmitted to the corresponding LED lighting brightness autonomous control unit 110, a signal of'ID:1-LED brightness#OK#2019-10-20-09:01' is sent as a response signal. If acquired, this is judged to be normal, but if the response signal to the autonomous check signal is not obtained, it includes'ID:1-LED brightness', which is the unique identification information of the LED lighting brightness autonomous control unit, and'ERROR', which is failure information. That is, the LED lighting brightness autonomous control unit failure information of'ID:1-LED brightness#ERROR#2019-10-20-09:01' is generated.

In addition, as shown in FIG. 4, the LED lighting brightness autonomous inspection module 132 continuously learns whether to obtain a response signal from the LED lighting brightness autonomous control unit for the autonomous inspection signal, and uses the learning result to illuminate the LED lighting brightness. It consists of an artificial intelligence LED lighting brightness autonomous control unit learning module 132A that generates learning result information of an LED lighting brightness autonomous adjustment unit that is statistical information about time, season, and weather that the autonomous controller does not send a response signal. .

At this time, the artificial intelligence LED lighting brightness autonomous control unit learning module 132A continuously learns whether to obtain a response signal for the autonomous inspection signal by time, season, weather.

For example, for the LED lighting brightness autonomous control unit that does not send a response signal, the time when the response signal is not sent is 9:00 AM, the season is spring, and the weather is cloudy.

As such, the artificial intelligence LED lighting brightness autonomous control unit learning module 132A performs learning on whether the LED autonomous brightness autonomous control unit responds to the autonomous check, and the time, season, when the LED illumination brightness autonomous controller does not send a response signal. The LED lighting brightness autonomous control unit, which is statistical information about the weather, generates abnormal learning result information.

The generated LED lighting brightness autonomous control unit abnormality learning result information is transmitted to the integrated control server 200 through the Internet of Things wireless communication module 136 and is used as the basic data for changing the LED lighting brightness autonomous control unit inspection cycle.

That is, the artificial intelligence LED light brightness autonomous control unit learning module 132A uses the LED light brightness autonomous control unit abnormality occurrence learning result information to identify the frequent times, seasons, weather, and frequent times for abnormalities, When it is season or weather, the LED lighting brightness autonomous inspection module 132 is controlled to generate an autonomous inspection signal at a cycle shorter than the inspection cycle in the autonomous inspection schedule information and transmit it to the corresponding LED lighting brightness autonomous controller.

For example, according to the learning result information of the generated abnormality of the LED lighting brightness autonomous control unit, if it was learned that the frequency of not sending a response signal in the morning, spring, and cloudy days is high, in the morning, spring, and cloudy days, the inspection cycle is shorter than usual. The LED lighting brightness autonomous control unit generates an autonomous check signal and transmits it to the LED lighting brightness autonomous control unit (for example, an autonomous check signal is transmitted every 3 hours in normal times, but is transmitted every hour in the morning, spring, and cloudy days).

The LED lighting color autonomous inspection module 133 generates an autonomous inspection signal of the LED lighting color autonomous control part according to the preset autonomous inspection schedule information of the LED light color autonomous control part to autonomously check the operation state of the LED light color autonomous control part 120, It transmits to the LED lighting color autonomous control unit, determines that it is normal if it obtains a response signal to the autonomous inspection signal, extracts the unique identification information of the LED light color autonomous control unit if it does not obtain a response signal, and LED light color autonomy including the unique identification information. It performs the function for generating the control unit failure information.

For example, according to the preset LED lighting color autonomous control unit 120 autonomous inspection schedule information, an LED autonomous autonomous inspection signal of'AUTO_REQUEST#ID:1-LED color#2019-10-20-09:01' When it is generated and transmitted to the LED lighting color autonomous control unit 120, it is judged as normal if it acquires the signal'ID:1-LED color#OK#2019-10-20-09:01' as a response signal to this. When the response signal to the autonomous check signal is not obtained, the'ID:1-LED color', which is the unique identification information of the corresponding LED lighting color autonomous control unit 120, and the'ID', which includes the failure information,'ERROR' :1-LED color#ERROR#2019-10-20-09:01' LED lighting color autonomous controller failure information is generated.

In addition, as shown in FIG. 4, the LED lighting color autonomous inspection module 133 continuously learns whether to obtain a response signal from the LED lighting color autonomous control unit for the autonomous inspection signal, and uses the learning result to adjust the LED lighting color autonomous autonomous unit. It consists of an artificial intelligence LED lighting color autonomous control unit learning module (133A) which generates learning result information of an LED lighting color autonomous control unit that is statistical information about time, season, and weather that does not send a response signal.

At this time, the artificial intelligence LED lighting color autonomous control unit learning module 143A continuously learns whether to obtain a response signal for the autonomous inspection signal by time, season, and weather.

For example, for the LED lighting color autonomous control unit that does not send a response signal, the time when the response signal is not sent is 9:00 am, the season is spring, and the weather is learned to be cloudy.

As such, the artificial intelligence LED lighting color autonomous control unit learning module 143A performs learning on whether the LED autonomous color autonomous control unit responds to the autonomous check, and the time, season, and weather when the LED light color autonomous control unit does not send a response signal. The LED lighting color autonomous control unit, which is statistical information, generates learning result information for abnormal occurrence.

The generated LED lighting color autonomous control abnormality learning result information is transmitted to the integrated control server 200 through the Internet of Things wireless communication module 136 and is used as the basic data for changing the LED lighting color autonomous control unit inspection cycle.

That is, the artificial intelligence LED light color autonomous control unit learning module 133A uses the LED light color autonomous control unit abnormal occurrence learning result information to identify the frequent times, seasons, and weather, and frequently occurs abnormal times, seasons, When the weather comes, the LED lighting color autonomous inspection module 133 is controlled to generate an autonomous inspection signal of the LED lighting color autonomous control unit at a cycle shorter than the inspection period in the autonomous inspection schedule information, and to transmit it to the corresponding LED light color autonomous control unit.

For example, according to the learning result information of the generated abnormality of the LED lighting color autonomous control unit, if it is learned that the frequency of not sending a response signal in the morning, spring, and cloudy days is high, in the morning, spring, and cloudy days, the LED is checked at a shorter period than usual. It generates an autonomous check signal for the lighting color autonomous control unit and transmits it to the corresponding LED lighting color autonomous control unit (for example, an autonomous check signal is transmitted every 3 hours in normal times, but every hour in the morning, spring, and cloudy days).

The RTU autonomous inspection module 134 generates an RTU autonomous inspection signal according to preset RTU autonomous inspection schedule information to autonomously check the operating state of the intelligent street light lighting control terminal device (RTU, 100) itself, and generates a central control module 135 ), and if the response signal of the central control module to the RTU self-check signal is obtained, it is determined as normal, and if the response signal is not obtained, the unique identification information of the intelligent street light lighting control terminal device (RTU, 100) is extracted, It performs a function for generating RTU failure information including unique identification information.

For example, according to the preset RTU autonomous inspection schedule information, an RTU autonomous inspection signal called'AUTO_REQUEST#ID:1-RTU#POWER#2019-10-20-09:01' is generated and sent to the corresponding central control module 135 When transmitting, if it acquires the signal'ID:1-RTU#CPU#OK#2019-09-20-09:01' as a response signal for this, it is judged as normal, but it responds to the RTU self-check signal described above. 'ID:1-RTU#CPU-ERROR#2019-10-20' that includes'ID:1-RTU', which is the unique identification information of the corresponding RTU, and'CPU-ERROR', which is RTU failure information when the signal is not acquired. -09:01' to generate RTU failure information.

In addition, as shown in FIG. 4, the RTU autonomous check module 134 continuously learns whether to obtain a response signal of the central control module 135 for the RTU autonomous check signal, and uses the learning result to control the central control module. It is configured to include an artificial intelligence RTU learning module 134A that generates RTU anomaly learning result information, which is statistical information about time, season, and weather that does not send the response signal.

The RTU autonomous inspection module 134 generates an RTU autonomous inspection signal several times a day according to the preset RTU autonomous inspection schedule information to autonomously check the operation state of the intelligent streetlight lighting control terminal device, and transmits it to the central control module 135 , Check whether there is an abnormality in the intelligent streetlight lighting control terminal device by acquiring a response signal to the RTU autonomous inspection signal.

At this time, the artificial intelligence RTU learning module 134A continuously learns whether the response signal of the central control module 135 to the RTU autonomous check signal is acquired by time, season, weather.

For example, the time when the central control module 135 does not send a response signal is 2 pm, the season is spring and the weather is cloudy.

As such, the artificial intelligence RTU learning module 134A performs learning on whether the central control module 135 has a response signal, and receives RTU abnormal occurrence learning result information, which is statistical information about time, season, and weather that does not send a response signal. Will generate.

The generated RTU anomaly learning result information is transmitted to the integrated control server 200 through the Internet of Things wireless communication module 136 and used as basic data for changing the inspection period of the intelligent street light lighting control terminal device.

That is, the artificial intelligence RTU learning module 134A identifies the time, season, and weather at which an abnormality occurs frequently using RTU abnormality learning result information, and when the abnormality occurs frequently, season, or weather, the RTU autonomous checking module In step 134, the RTU autonomous inspection signal is generated and transmitted to the central control module 135 in a cycle shorter than the inspection cycle in the RTU autonomous inspection schedule information.

For example, according to the generated RTU anomaly learning result information, if the central control module 135 is learned to have a high frequency of not sending a response signal in the morning, spring and cloudy days, in the morning, spring and cloudy days, it is shorter than usual. It generates an RTU autonomous inspection signal in the inspection cycle and transmits it to the central control module 135 (for example, the RTU autonomous inspection signal is transmitted every 3 hours, but it is transmitted every hour in the morning, spring, and cloudy days).

That is, the above-mentioned illumination sensor abnormal occurrence learning result information, LED lighting brightness autonomous control unit abnormal occurrence learning result information, LED lighting color autonomous control unit abnormal occurrence learning result information, RTU abnormal occurrence learning result information, frequent occurrence of failure, season , By checking more frequently than usual in the weather, it is possible to prevent the occurrence of a failure in advance when the frequency of failure is high.

The above-described artificial intelligence illuminance sensor learning module 131A, artificial intelligence LED lighting brightness autonomous adjustment learning module 132A, artificial intelligence LED lighting color autonomous learning learning module 133A, artificial intelligence RTU learning module 134A is deep learning The artificial intelligence algorithm is used to generate the learning result information for the abnormality of the illumination sensor, the learning result information for the abnormal occurrence of the LED light brightness autonomous control unit, the learning result information for the abnormal occurrence of the LED light color autonomous control unit, and the learning result information for the RTU abnormality.

The central control module 135 controls the operation of each component constituting the intelligent street light lighting control terminal device, and upon receiving the RTU autonomous check signal, the operation state of each component constituting the intelligent street light lighting control terminal device Check, and if all of the components are normal, the RTU autonomous check module 134 provides a response signal. If any of the components is abnormal, the RTU autonomous check module 134 provides a response signal.

For example, if the power supply unit and the digital conversion unit constituting the intelligent street light lighting control terminal device are checked, the operation signal is transmitted to the power supply unit and a response signal is not obtained, or the operation signal is transmitted to the digital conversion unit. If the response signal is not obtained, the response signal is not provided to the RTU autonomous check module 134.

In addition, the central control module 135, as a result of checking the operation status of each component constituting the intelligent street light lighting control terminal device, when an abnormal component is found, the information on the abnormal component is replaced by a RTU autonomous check module instead of a response signal. Characterized in that provided by (134).

In this case, the RTU autonomous inspection module 134 is characterized in that when the information on the abnormal component is provided from the central control module 135, the information on the abnormal component is included in the RTU failure information.

That is, the RTU autonomous inspection module 134 generates failure information if the response signal is not obtained from the central control module 145, and generates failure information even when acquiring information about an abnormal component instead of the response signal. It is to include information about the non-normal component in the information.

The IoT wireless communication module 136 is the failure information generated by the illuminance sensor autonomous check module 131, the LED light brightness autonomous check module 132, the LED light color autonomous check module 133, and the RTU autonomous check module 134. It will perform the function of transmitting them to the integrated control server 200 through the IoT network.

The IoT wireless communication module 136 is equipped with an IoT wireless communication chip, and the IoT communication network is one of LTE-M communication network, NB-IoT communication network, LTE communication network, and Ethernet communication network.

The Internet of Things communication network fee is only 1,100 won per month, so it provides the advantage of a service capable of transmitting fault information at a much lower cost than that of a typical conventional measurement and monitoring device.

5 is a block diagram of the integrated control server 200 of the intelligent street lighting control system based on the Internet of Things according to the present invention.

As shown in Figure 5, the integrated control server 200 is a configuration that stores and manages the failure information provided by the intelligent street light lighting control terminal device (RTU, 100), and performs failure event processing using the failure information, It comprises a fault content pop-up processing unit 210, a warning sound processing unit 220, a fault message processing unit 230.

Specifically, when the fault content pop-up processing unit 210 acquires fault information from the intelligent street light lighting control terminal device (RTU, 100), as shown in FIG. 2, the fault information is displayed in a pop-up format. It will perform the function of outputting to.

For example, when the information on the failure of the illuminance sensor, which is'ID:1-Light Sensor#ERROR#2019-10-20-09:01', is obtained from the intelligent street light lighting control terminal device (RTU, 100), the popup processing unit for the fault content References to'ID:1-Light Sensor' to extract the location information of the street light where the corresponding illuminance sensor is installed.

Subsequently, as illustrated in FIG. 6, the pop-up processing unit for the failure content completes a warning text sentence,'Please check immediately as the street light illumination sensor on road A 1 is judged to be a failure' and output it on the screen in the form of a pop-up window. .

The warning sound processing unit 220 performs a function of generating a warning sound and outputting it through a speaker when failure information is obtained from an intelligent street light lighting control terminal device (RTU, 100).

For example, in the case of acquiring the failure information of the illuminance sensor that is'ID:1-Light Sensor#ERROR#2019-10-20-09:01' from an intelligent street light lighting control terminal device (RTU, 100) The warning sound processing unit extracts the installation location information of the corresponding illuminance sensor by referring to the'ID: 1-Light Sensor', for example, acquires the installation location information of'A street No. 1 street light illuminance sensor'.

Subsequently, the warning sound processing unit outputs a warning voice through the speaker,'Please check immediately as the street light illumination sensor on road A 1 is judged to be a malfunction.

The failure message processing unit 230 generates a text message for the failure information when the failure information is obtained from the intelligent street light lighting control terminal device (RTU, 100) and sends it to the registered manager terminal 300 for processing. Will perform.

For example, in the case of acquiring the failure information of the illuminance sensor that is'ID:1-Light Sensor#ERROR#2019-10-20-09:01' from an intelligent street light lighting control terminal device (RTU, 100) The fault message processing unit extracts the installation location information of the corresponding sensor by referring to'ID: 1-Light Sensor', for example, obtaining the installation location information of'A street No. 1 street light illumination sensor'.

Subsequently, the fault message processing unit generates a text message for the fault information such as'A road No. 1 street light illuminance sensor is judged to be a fault' and sends a text message to the registered manager terminal 300.

In addition, according to an additional aspect, the integrated control server 200 is an intelligent street light lighting control terminal device (RTU, 100) provided by the illumination sensor abnormality learning result information, LED lighting brightness autonomous control unit abnormality occurrence learning result information, LED lighting color autonomy control unit Using information on learning results of abnormal occurrences and learning result information of RTU abnormalities, information about hours, seasons, and weather where abnormalities occur frequently, by illumination sensor, by LED lighting brightness autonomous control unit, by LED lighting color autonomous control unit, It may further include a check message processing unit 240 for generating and storing intelligent street light lighting control terminal devices and outputting check message information on a screen in a pop-up format when the time, season, and weather are frequent.

For example, information on when frequent anomalies occur is spring/cloudy/9 a.m. for the street light 1 sensor on road A, and 9 a.m. for road 1 light sensor on road B. In case of frequent occurrence of abnormality such as summer/cloudy/11 a.m. in the case of LED lighting brightness autonomous control of No. 1 street light, and in the fall/rain/3 p.m. of the No. 1 street light LED autonomous control of Road B The information is generated and stored for each illumination sensor, for each LED lighting brightness autonomous adjustment unit, for each LED lighting color autonomous adjustment unit, and for intelligent streetlight lighting control terminal devices.

Subsequently, when the time, season, and weather are frequent, the inspection message information is displayed on the screen in a pop-up format. For example, at spring/cloudy weather/9:00 am, the inspection message information on the road 1's light intensity sensor on road A is displayed on the screen in a pop-up format, allowing the administrator to inspect the road 1's light intensity sensor on road A. .

Through the configuration of the integrated control server 200 as described above, a voice (including sound, alarm sound, etc.) or a warning window (notification window, pop-up window) is displayed as well as a cell phone text message of department managers who manage street light facilities in the hall. This makes it possible to check whether it is operating normally.

This means that, in addition to regular inspections or emergency inspections, the street lamp facilities in the hall can be checked in real time before the breakdown occurs, and information on the target of the breakdown is reported to the integrated control room and the department manager within the hall. This will prevent the failure in advance.

Meanwhile, according to another additional aspect, the integrated control server 200 obtains weather information from the outside (for example, the Meteorological Agency) and provides weather information providing unit 250 to provide intelligent street lighting control terminal devices (RTU, 100). ;

Calculate the rated power usage time of the LED lamp 30 constituting the LED street light, and output the lamp replacement information to the screen of the integrated control room when the rated power usage time of the LED lamp reaches a preset life time. Characterized in that it comprises a; LED lamp replacement processing unit 260 for processing the dispatch of the inspection message to the manager terminal (300).

Specifically, the weather information providing unit 250 obtains weather information from the outside (for example, the Meteorological Agency) and provides it to the intelligent street light lighting control terminal device (RTU, 100).

The provided weather information is utilized as basic information for the LED lighting color autonomous control unit 120 of the intelligent street light lighting control terminal device (RTU, 100) to adjust the wavelength of the LED lamp.

In other words, when the visibility distance is short, such as a heavy rain or heavy snow, a fog, or a yellow dust, the LED lighting color autonomy of the intelligent street light lighting control terminal device (RTU, 100) according to the provided weather information. The control unit 120 controls the LED lamp to emit light having a longer wavelength than usual to secure a visible distance.

Then, the LED lamp replacement processing unit 260 calculates the rated power usage time of the LED lamps constituting the LED street light, and outputs lamp replacement information to the integrated control room screen when the rated power usage time of the LED lamp reaches a preset life time. At the same time, it performs a function for dispatching the inspection message to the manager terminal 300 that controls the LED street light.

For example, when the rated power is 10W, the lamp life is stored for 1,000 hours. When the usage time of the rated power is counted and the usage time is calculated to be 1,000 hours, it is the same as the lamp life. The lamp replacement information is output on the same time, and at the same time, an inspection message is sent to the manager terminal 300 that is in charge of the corresponding LED street light to promptly replace the LED lamp.

Meanwhile, the intelligent street light lighting control terminal device (RTU, 100) described in the present invention refers to a remote terminal unit that performs autonomous control based on an embedded CPS (Cyber-Physical System) technology.

Specifically, the embedded CPS (Cyber-Physical System) is a complex system in which computation, communication, and control are fused functionally, real-time, intelligent, adaptive and predictive, and connectivity. Main features.

The present invention is to control the lighting brightness around the LED street light through the intelligent street light lighting control terminal device based on the embedded CPS (Cyber-Physical System) technology, and lighting to ensure an appropriate viewing distance according to the weather conditions, It can produce various colors of LED lamps, providing an effect to make the surrounding landscape more beautiful.

Although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and it is usually in the technical field to which the present invention pertains without departing from the gist of the present invention claimed in the claims. It is of course possible to perform various modifications by a person having knowledge of, and these modifications should not be individually understood from the technical idea or prospect of the present invention.

100: intelligent street light lighting control terminal device
200: integrated control server
300: manager terminal

Claims (12)

In the intelligent street lighting control system based on the Internet of Things,
It is installed on the LED street light (10) and controls the brightness and lighting color of the LED lamp, generates fault information, and provides it to the integrated control server (200) using the IoT communication network.
It includes an integrated control server (200) that stores and manages fault information provided by the intelligent street light lighting control terminal device (RTU, 100) and performs fault event processing using the fault information,

The intelligent street light lighting control terminal device 100,
Receives the measured illuminance value from the illuminance sensor 20 installed in the LED street light 10 and compares the received illuminance value with a preset reference illuminance value to turn on/off the LED lamp 30. LED lighting brightness control unit 110 for controlling, and differently controlling the brightness of the LED lamp 30 for each time period when the LED lamp 30 is turned on;
An LED lighting color autonomous adjustment unit 120 for adjusting the wavelength of the LED lamp 30 configured for the LED street light according to the weather information and for controlling the color of the LED lamp 30 configured for the LED street light according to the scenario information;
The operation status and intelligent streetlight lighting control terminal device (RTU, 100) of the illumination sensor 20 installed on the LED street light 10 as an autonomous inspection object, the LED light brightness autonomous adjustment unit 110 and the LED light color autonomous adjustment unit 120 Intelligent street autonomous rate that autonomously checks the operation status of itself, generates failure information and RTU failure information for each subject to be inspected according to the inspection results, and provides the generated failure information to the integrated control server 200 using the IoT communication network. It comprises a check unit 130;

The intelligent street lamp autonomous inspection unit 130,
In order to autonomously check the operation status of the intelligent street light lighting control terminal device (RTU, 100), an RTU autonomous inspection signal is generated and transmitted to the central control module 135 according to preset RTU autonomous inspection schedule information, and the RTU autonomous inspection signal If the response signal of the central control module is obtained, it is determined to be normal. If the response signal is not obtained, the RTU autonomous inspection module is used to generate RTU failure information including unique identification information of the intelligent street light lighting control terminal device (RTU, 100). (134);
Controlling the operation of each component constituting the intelligent street light lighting control terminal device (RTU, 100), and when receiving the RTU autonomous check signal, the operation of each component constituting the intelligent street light lighting control terminal device (RTU, 100) A central control module that checks the status and provides a response signal to the RTU autonomous check module 134 if all components are normal and does not provide a response signal to the RTU autonomous check module 134 if any of the components is abnormal ( 135),

The RTU autonomous inspection module 134,
Statistical information on time, season, and weather that the central control module 135 does not send a response signal by continuously learning whether the response signal of the central control module 135 is obtained for the RTU autonomous check signal and using the learning result An intelligent street lamp lighting control system based on the Internet of Things, comprising an artificial intelligence RTU learning module (134A) that generates learning result information for RTU anomalies.
delete According to claim 1,
The LED lighting brightness auto-adjustment unit 110,
If the received illuminance value in the state where the LED lamp 30 is off is less than or equal to the first reference illuminance value, the LED lamp 30 is turned on and the LED lamp 30 is turned on. If the received illuminance value in the state is greater than or equal to a preset second reference illuminance value, the LED lamp 30 is turned off,
The brightness of the LED lamp 30 is increased by a set ratio at a set time interval from the time when the LED lamp 30 is first turned on, and the brightness of the LED lamp 30 is set for each time interval after a specific time set. IoT-based intelligent street light lighting control system characterized by reducing by a ratio.
According to claim 1,
The LED lighting color auto-adjustment unit 120,
When the visibility distance is short due to the weather information provided by the integrated control server 200, the LED lamp 30 emits light with a longer wavelength than usual to secure the visibility, and according to the preset scenario information IoT-based intelligent street light lighting control system, characterized in that for controlling the lighting of the lamps of different colors constituting the LED lamp (30).
According to claim 1,
The intelligent street lamp autonomous inspection unit 130,
In order to autonomously check the operation state of the illuminance sensor 20, an autonomous illuminance sensor signal is generated and transmitted to the illuminance sensor according to the preset illuminance sensor autonomous inspection schedule information. If it is determined to be normal and the response signal is not obtained, the illuminance sensor autonomous check module 131 for generating illuminance sensor failure information including unique identification information of the illuminance sensor;
In order to autonomously check the operation state of the LED lighting brightness autonomous control unit 110, the LED lighting brightness autonomous adjustment unit generates an autonomous check signal according to the preset LED lighting brightness autonomous adjustment schedule autonomous inspection schedule information, and the LED lighting brightness autonomous adjustment unit ( 120), and if the response signal for the autonomous check signal is obtained from the LED lighting brightness autonomous control unit 120, it is determined as normal, and if the response signal is not obtained, the LED lighting including unique identification information of the LED lighting brightness autonomous adjustment unit An LED lighting brightness autonomous inspection module 132 for generating the brightness autonomous unit failure information;
In order to autonomously check the operation status of the LED lighting color autonomous control unit 120, it generates an autonomous check signal for the LED lighting color autonomous control unit according to preset autonomous inspection schedule information and transmits it to the LED lighting color autonomous adjustment unit, If the response signal for the autonomous check signal is obtained from the lighting color autonomous control unit 130, it is determined to be normal. If the response signal is not obtained, the LED light color autonomous control unit failure information including the unique identification information of the LED light color autonomous control unit is generated. LED lighting color autonomous inspection module 133;
Integrated control server through the Internet of Things fault information generated by the illumination sensor autonomous check module 131, LED light brightness autonomous check module 132, LED light color autonomous check module 133, and RTU autonomous check module 134 IoT wireless communication module (136) for transmitting to (200); IoT-based intelligent street light lighting control system comprising a.
The method of claim 5,
The illuminance sensor autonomous inspection module 131,
Continuously learning whether to acquire the response signal for the autonomous inspection signal and using the learning result to generate the learning result information for the abnormality of the illumination sensor, which is statistical information about the time, season, and weather at which the illumination sensor does not send a response signal. Includes artificial intelligence illuminance sensor learning module (131A),
The LED lighting brightness autonomous inspection module 132,
The LED lighting brightness autonomous control unit continuously learns whether to obtain a response signal for the autonomous inspection signal, and uses the learning results to make the LED lighting brightness which is statistical information about time, season, and weather when the LED lighting brightness autonomous control unit does not send a response signal. Includes an artificial intelligence LED lighting brightness autonomous control unit learning module (132A) that generates learning result information for an autonomous control unit,
The LED lighting color autonomous inspection module 133,
LED lighting color autonomous control unit for autonomous inspection signal Continuously learning whether to obtain a response signal, and using the learning results, the LED light color autonomous control unit, which is statistical information about time, season, and weather that does not send a response signal Includes an artificial intelligence LED lighting color autonomous control unit learning module (133A) that generates abnormal learning result information,
The generated illuminance sensor abnormal occurrence learning result information, LED lighting brightness autonomous control unit abnormal occurrence learning result information, LED lighting color autonomous control unit abnormal occurrence learning result information, and RTU abnormal occurrence learning result information refer to the IoT wireless communication module 136. Internet-based intelligent street light lighting control system characterized in that it is transmitted to the integrated control server (200).
The method of claim 6,
The artificial intelligence illuminance sensor learning module (131A),
Illumination sensor Abnormal occurrence Using the learning result information, identify the time, season, and weather where anomalies occur frequently, and when the time, season, and weather occur frequently, the illuminance sensor autonomous check module 131 automatically detects the illuminance sensor schedule information Controls to generate an autonomous check signal for the illuminance sensor and transmit it to the illuminance sensor at a cycle shorter than the inspection cycle in the inside,
The artificial intelligence LED lighting brightness autonomous control unit learning module (132A),
LED lighting brightness autonomous control unit Anomaly occurrence Use the learning result information to identify the time, season, and weather where anomalies occur frequently, and when an abnormality occurs frequently, the season, the weather, the LED lighting brightness autonomous check module 132 LEDs Autonomous Inspection of Lighting Brightness Autonomous Control Schedule Controls to generate an autonomous inspection signal of the LED lighting autonomous autonomous control unit and send it to the LED autonomous autonomous autonomous control unit in a cycle shorter than the inspection period in the information.
The artificial intelligence LED lighting color autonomous control unit learning module (133A),
LED lighting color autonomous control unit Identify the time, season, and weather where an abnormality occurs frequently using the learning result information of an abnormality. When the abnormality occurs frequently, the season, and the weather, the LED lighting color autonomous inspection module 133 displays the LED lighting color autonomy. Control panel autonomous inspection schedule Controls to generate the LED light color autonomous control unit autonomous check signal at a cycle shorter than the inspection cycle in the information and transmit it to the LED light color autonomous control unit.
The artificial intelligence RTU learning module (134A),
RTU autonomous inspection module 134 automatically checks the RTU autonomous check module 134 when the abnormal remote occurrence time, season, and weather are identified using the RTU abnormal occurrence learning result information. IoT-based intelligent streetlight lighting control system characterized by controlling to generate and transmit an RTU autonomous inspection signal to the central control module 135 at a cycle shorter than the inspection cycle in the schedule information.
The method of claim 5,
The central control module 135,
As a result of the inspection, if an abnormal component is found, information on the abnormal component is provided to the RTU autonomous check module 134 instead of a response signal.
When the RTU autonomous inspection module 134 receives information on the abnormal component from the central control module 135, the information on the abnormal component is included in the RTU failure information. Control system.
The method of claim 5,
The IoT wireless communication module 136,
IoT-based intelligent street light lighting control system, characterized in that the communication using at least one of the LTE-M communication method, NB-IoT communication method, LTE communication method, Ethernet communication method.
According to claim 1,
The integrated control server 200,
When obtaining the failure information from the intelligent street light lighting control terminal device (RTU, 100), the failure information pop-up processing unit 210 for outputting the failure information to the screen in a pop-up format;
A warning sound processing unit 220 that generates a warning sound and outputs it through a speaker when failure information is acquired from an intelligent street light lighting control terminal device (RTU, 100);
When the failure information is obtained from the intelligent street light lighting control terminal device (RTU, 100), a fault message processing unit 230 that generates a text message for the fault information and sends it to the registered manager terminal 300 for processing. Internet of things based intelligent street lamp lighting control system characterized in that.
The method of claim 10,
The integrated control server 200,
Illumination sensor abnormality learning result information provided by the intelligent street light lighting control terminal device (RTU, 100), LED lighting brightness autonomous control unit abnormality learning result information, LED lighting color autonomy control unit abnormality learning result information, RTU abnormality learning result Using information, information about frequent occurrences of time, season, and weather is generated and stored for each illumination sensor, for each LED lighting brightness autonomous adjustment unit, for each LED lighting color autonomous adjustment unit, and for intelligent street light lighting control terminal devices. Internet of things based intelligent street lamp lighting control system, characterized in that it further comprises a check message processing unit 240 for outputting the inspection message information to the screen in the form of a pop-up when the time, season, weather.
The method of claim 10,
The integrated control server 200,
Weather information providing unit 250 to obtain weather information from the outside and provide it to an intelligent street light lighting control terminal device (RTU, 100);
Calculate the rated power usage time of the LED lamp 30 constituting the LED street light, and output the lamp replacement information to the screen of the integrated control room when the rated power usage time of the LED lamp reaches a preset life time. LED lamp replacement processing unit 260 for processing the inspection message sent to the manager terminal 300; Internet of Things based intelligent street lamp lighting control system characterized in that further comprises a.

Images