Intelligent street lamp cooperative control method based on Internet of Things

Abstract

The invention relates to the technical field of intelligent street lamps, and discloses an intelligent street lamp cooperative control method based on the Internet of Things, which comprises the following steps: installation preparation before operation of an intelligent street lamp, intelligent street lamp operation control and feedback, and intelligent street lamp operation emergency processing and rapid repair arrangement. According to the invention, through calculation of the natural light illumination intensity and the working illumination intensity, the working states of the intelligent street lamps can be synchronously switched without setting time, and through performing position interval matrix arrangement and numbering processing on the intelligent street lamps, marking and accurate position correspondence on the intelligent street lamps are facilitated; the intelligent street lamps are conveniently and intelligently managed, a temporary light supplement illumination emergency processing mode in a fault street lamp area is realized, illumination can be provided for the area under the condition that part of the intelligent street lamps are damaged, the intelligence is high, and the specific positions of the fault street lamps and electric leakage street lamps can be accurately mastered; and the follow-up troubleshooting, overhauling and first-aid repair work of workers is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of smart street lamps, and in particular to a smart street lamp collaborative control method based on the Internet of Things. Background Art

[0002] Smart street lights will be based on road lighting poles, integrating public security, traffic signals, communications, traffic signs, etc., realizing multiple poles into one, reducing road poles, and releasing public space resources. At the same time, as an important carrier for smart city construction, smart street lights will serve as the port of the Internet of Things and play a greater "complex" role; as the most densely and evenly distributed information infrastructure in the city, street light poles are considered to be the best carrier for outdoor coverage of 5G base stations. Driven by the construction of smart cities and 5G base stations, they will gradually change from a single lighting function to a new type of public infrastructure.

[0003] However, during long-term use, some smart street lights will malfunction and fail to illuminate. At this time, the area with the faulty street lights will be completely lacking in light, which will affect the road conditions in the corresponding area and lack intelligence. Summary of the invention

[0004] The purpose of the present invention is to provide a smart street lamp collaborative control method based on the Internet of Things, which solves the problems raised in the background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A smart street lamp collaborative control method based on the Internet of Things, comprising the following steps: installation preparation before the operation of the smart street lamp, operation control and feedback of the smart street lamp, and emergency treatment and rapid repair arrangement of the smart street lamp;

[0007] The installation preparation before the operation of the smart street lamp includes the following steps:

[0008] Step 1: Install each smart street light in the green belt of the urban road, and ensure that the installation distance between two adjacent smart street lights is 30-40m;

[0009] Step 2: Install the wireless transceiver module, GPS module, light detector, electric meter, electric control component and lighting angle control component on the smart street light;

[0010] Step 3: Use the Internet of Things to wirelessly connect the cloud intelligent control terminal to the data transceiver of each smart street lamp in step 2;

[0011] Step 4: Use the cloud-based intelligent control terminal to debug the functions of each smart street light in step 3 to ensure that each function can be used normally;

[0012] The smart street lamp operation control and feedback includes the following steps:

[0013] S1: The cloud-based intelligent control terminal arranges the location interval matrix of all smart street lights according to the built-in GPS modules of each smart street light, and numbers each smart street light;

[0014] S2: The daylight detector transmits the detection information to the cloud-based intelligent control terminal through the wireless transceiver module, and the cloud-based intelligent control terminal calculates the natural light intensity E1 in the corresponding area;

[0015] S3: The cloud-based intelligent control terminal plots the natural light intensity E1 of each natural light intensity detection area into a time variation curve. When the natural light intensity E1 in 50% of the area is less than 300Lx, the corresponding time t1 is recorded, and a control instruction is sent to the electric control component through the wireless transceiver module, and all the electric control components are powered synchronously for lighting;

[0016] S4: At night, the light detector transmits the detection information to the cloud intelligent control terminal through the wireless transceiver module. The cloud intelligent control terminal calculates the working light intensity E2 in the corresponding area. The light detector and the cloud intelligent control terminal continue to detect the working light intensity E2 of the smart street lamp in the corresponding area.

[0017] S5: The cloud-based intelligent control terminal plots the working light intensity E2 of each working light intensity detection area into a time variation curve. When the working light intensity E2 in 50% of the area is greater than 1200Lx, the corresponding time t2 is recorded, and a control instruction is sent to the electronic control component through the wireless transceiver module, and the electronic control component synchronously stops power supply and lighting;

[0018] S6: The cloud-based intelligent control terminal collects the meter data of each smart street lamp through the wireless transceiver module, and calculates the power utilization rate η of each smart street lamp lighting process;

[0019] S7: When the working light intensity E2 in part of the area of ​​S5 is less than 200Lx, the cloud intelligent control terminal marks the smart street lamp in the area as a faulty street lamp. When the utilization rate η of the smart street lamp in S6 is less than 0.8, the cloud intelligent control terminal marks the smart street lamp as a leaking street lamp.

[0020] The emergency handling and rapid repair arrangements for the operation of smart street lamps include: emergency handling and repair positioning within the faulty street lamp area and repair positioning of leaking street lamps.

[0021] As a further solution of the present invention: the calculation formula of the natural light intensity E1 is:

[0022]

[0023] Where Nφ1 is the total luminous flux of the light source detected by the daytime light detector, CU1 is the utilization coefficient 0.4, MF1 is the maintenance coefficient 0.7, and S is the detection area of ​​the light detector.

[0024] As a further solution of the present invention: the calculation formula of the working light illumination intensity E2 is:

[0025]

[0026] Where Nφ2 is the total luminous flux of the light source detected by the light detector at night, CU2 is the utilization coefficient 0.3, MF2 is the maintenance coefficient 0.8, and S is the detection area of ​​the light detector.

[0027] As a further solution of the present invention: the calculation formula of the power utilization rate η is:

[0028]

[0029] Where P is the rated power of the smart street light, t1 is the time when the smart street light is powered on synchronously, t2 is the time when the smart street light stops powered on synchronously, and W is the electric energy data recorded by the electric meter during the working hours of the smart street light.

[0030] As a further solution of the present invention: the emergency handling and repair positioning in the faulty street lamp area includes the following process: the cloud-based intelligent control terminal performs emergency handling control according to the position interval matrix arrangement in the step one, controls the lighting angle control component of the smart street lamp adjacent to the faulty street lamp to adjust the lighting angle until the working light intensity E2 in the faulty street lamp area is greater than 300Lx, and the cloud-based intelligent control terminal locates the specific position of the faulty street lamp through the GPS module.

[0031] As a further solution of the present invention: the emergency repair and positioning of the leaking circuit lamp includes the following process: the terminal intelligent control terminal locates the specific position of the leaking circuit lamp through the GPS module.

[0032] Compared with the prior art, the technical solution of this application has the following beneficial effects:

[0033] The present invention calculates the intensity of natural light and the intensity of working light, and can synchronously switch the working state of the smart street lamp without the need to set time. By arranging and numbering each smart street lamp in a position interval matrix, it is convenient to mark and accurately correspond the position of each smart street lamp, facilitate intelligent management of smart street lamps, and realize emergency treatment of temporary fill lighting in the area of ​​faulty street lamps, ensuring that light can be provided to this area even when some smart street lamps are damaged. It is highly intelligent and can accurately grasp the specific locations of faulty street lamps and leaking street lamps, which is convenient for subsequent inspection, maintenance and emergency repair work of staff. The cloud-based intelligent control terminal is wirelessly connected to the smart street lamp through the Internet of Things, which can not only grasp the operating status of the smart street lamp at any time, but also realize long-distance monitoring and control, which plays an important role in the construction of smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0035] Figure 1 It is a flowchart of the overall process of the present invention;

[0036] Figure 2 A flowchart of the preparation for the installation of the smart street lamp before operation of the present invention;

[0037] Figure 3 This is a flowchart of the operation control and feedback of the smart street lamp of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] See also Figure 1-3 The present invention provides a smart street lamp collaborative control method based on the Internet of Things, comprising the following steps: installation preparation before the operation of the smart street lamp, operation control and feedback of the smart street lamp, and emergency processing and rapid repair arrangement of the smart street lamp.

[0040] The installation preparation before the operation of smart street lights includes the following steps:

[0041] Step 1: Install each smart street light in the green belt of the urban road, and ensure that the installation distance between two adjacent smart street lights is 30-40m;

[0042] The installation distance between two adjacent smart street lights is 30-40m, which can not only ensure the lighting intensity demand of urban roads at night, but also reduce the construction volume of smart street lights and reduce costs;

[0043] Step 2: Install the wireless transceiver module, GPS module, light detector, electric meter, electric control component and lighting angle control component on the smart street light;

[0044] Step 3: Use the Internet of Things to wirelessly connect the cloud intelligent control terminal to the data transceiver of each smart street lamp in step 2;

[0045] By wirelessly connecting the cloud intelligent control terminal with the smart street lamp through the Internet of Things, the operating status of the smart street lamp can be monitored at any time, and remote monitoring and control can be achieved, which plays an important role in the construction of smart cities.

[0046] Step 4: Use the cloud-based intelligent control terminal to debug the functions of each smart street light in step 3 to ensure that each function can be used normally.

[0047] Functional debugging is performed before the smart street lights are actually put into use to ensure delivery quality.

[0048] Smart street light operation control and feedback includes the following steps:

[0049] S1: The cloud-based intelligent control terminal arranges the location interval matrix of all smart street lights according to the built-in GPS modules of each smart street light, and numbers each smart street light;

[0050] By arranging and numbering each smart street lamp in a position interval matrix, it is convenient to mark each smart street lamp and accurately match the position, thereby facilitating the intelligent management of smart street lamps.

[0051] S2: The daylight detector transmits the detection information to the cloud-based intelligent control terminal through the wireless transceiver module, and the cloud-based intelligent control terminal calculates the natural light intensity E1 in the corresponding area;

[0052] The calculation formula for natural light intensity E1 is:

[0053]

[0054] Where Nφ1 is the total luminous flux of the light source detected by the daytime light detector, CU1 is the utilization factor 0.4, MF1 is the maintenance factor 0.7, and S is the detection area of ​​the light detector;

[0055] S3: The cloud-based intelligent control terminal plots the natural light intensity E1 of each natural light intensity detection area into a time variation curve. When the natural light intensity E1 in 50% of the area is less than 300Lx, the corresponding time t1 is recorded, and a control instruction is sent to the electric control component through the wireless transceiver module, and all the electric control components are powered synchronously for lighting;

[0056] By accurately calculating the natural light intensity in each smart street light area, we can accurately understand the natural light intensity situation. There is no need to control the lighting on time of the smart street light. When there is insufficient natural light, the smart street light can be automatically controlled to perform lighting work.

[0057] S4: At night, the light detector transmits the detection information to the cloud intelligent control terminal through the wireless transceiver module. The cloud intelligent control terminal calculates the working light intensity E2 in the corresponding area. The light detector and the cloud intelligent control terminal continue to detect the working light intensity E2 of the smart street lamp in the corresponding area.

[0058] The calculation formula of working light intensity E2 is:

[0059]

[0060] Where, Nφ2 is the total luminous flux of the light source detected by the light detector at night, CU2 is the utilization coefficient 0.3, MF2 is the maintenance coefficient 0.8, and S is the detection area of ​​the light detector;

[0061] S5: The cloud-based intelligent control terminal plots the working light intensity E2 of each working light intensity detection area into a time variation curve. When the working light intensity E2 in 50% of the area is greater than 1200Lx, the corresponding time t2 is recorded, and a control instruction is sent to the electronic control component through the wireless transceiver module, and the electronic control component synchronously stops power supply and lighting;

[0062] By accurately calculating the working light intensity in each smart street light area, we can accurately understand the working status of the smart street lights, and automatically control the smart street lights to stop working when the natural light intensity is strong. There is no need to control the lighting off time of the smart street lights. This is both intelligent and can reduce resource waste.

[0063] S6: The cloud-based intelligent control terminal collects the meter data of each smart street lamp through the wireless transceiver module, and calculates the power utilization rate η of each smart street lamp lighting process;

[0064] The calculation formula of electric energy utilization rate η is:

[0065]

[0066] Where, P is the rated power of the smart street light, t1 is the time when the smart street light is powered synchronously, t2 is the time when the smart street light stops powered synchronously, and W is the electric energy data recorded by the electric meter during the working time of the smart street light;

[0067] S7: When the working light intensity E2 in some areas in S5 is less than 200Lx, the cloud intelligent control terminal marks the smart street lamp in the area as a faulty street lamp. When the utilization rate η of the smart street lamp in S6 is less than 0.8, the cloud intelligent control terminal marks the smart street lamp as a leaking street lamp.

[0068] Realize intelligent analysis of faulty street lamps and leaking street lamps, and intelligently determine the specific locations of faulty street lamps and leaking street lamps.

[0069] The emergency response and rapid repair arrangements for smart street lamp operation include: emergency response and repair positioning within the faulty street lamp area and repair positioning of leaking street lamps.

[0070] The emergency handling and repair positioning in the faulty street lamp area includes the following process: the cloud-based intelligent control terminal performs emergency handling control according to the position interval matrix arrangement in step one, controls the lighting angle control components of the adjacent smart street lamps of the faulty street lamp to adjust the lighting angle until the working light intensity E2 in the faulty street lamp area is greater than 300Lx, and the cloud-based intelligent control terminal locates the specific position of the faulty street lamp through the GPS module; the repair positioning of the leaking street lamp includes the following process: the end intelligent control terminal locates the specific position of the leaking street lamp through the GPS module.

[0071] It realizes emergency handling of temporary fill lighting in the area of ​​faulty street lights, ensuring that lighting can be provided to this area even when some smart street lights are damaged. It is highly intelligent and can accurately grasp the specific locations of faulty street lights and leaking street lights, facilitating subsequent inspection, maintenance and emergency repair work by subsequent staff.

[0072] To sum up, the advantages of the present invention are: through the Internet of Things, the cloud-based intelligent control terminal is wirelessly connected to the smart street lamp, which can not only grasp the operating status of the smart street lamp at any time, but also realize long-distance monitoring and control, which plays an important role in the construction of smart cities. By calculating the natural light intensity and the working light intensity, the working state of the smart street lamp can be synchronously switched without the set time. By arranging and numbering each smart street lamp in a position interval matrix, it is convenient to mark and accurately correspond the position of each smart street lamp, facilitate intelligent management of smart street lamps, and realize emergency treatment of temporary fill lighting in the faulty street lamp area, ensuring that even if some smart street lamps are damaged, they can provide illumination for this area. It is highly intelligent and can accurately grasp the specific locations of faulty street lamps and leaking street lamps, which is convenient for subsequent inspection, maintenance and repair work of subsequent staff.

[0073] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. Although the present application is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A smart street lamp collaborative control method based on the Internet of Things, characterized by: It includes the following steps: installation preparation before the operation of smart street lights, operation control and feedback of smart street lights, emergency treatment of smart street lights and rapid repair arrangements; The installation preparation before the operation of the smart street lamp includes the following steps: Step 1: Install each smart street light in the green belt of the urban road, and ensure that the installation distance between two adjacent smart street lights is 30-40m; Step 2: Install the wireless transceiver module, GPS module, light detector, electric meter, electric control component and lighting angle control component on the smart street light; Step 3: Use the Internet of Things to wirelessly connect the cloud intelligent control terminal to the data transceiver of each smart street lamp in step 2; Step 4: Use the cloud-based intelligent control terminal to debug the functions of each smart street light in step 3 to ensure that each function can be used normally; The smart street lamp operation control and feedback includes the following steps: S1: The cloud-based intelligent control terminal arranges the location interval matrix of all smart street lights according to the built-in GPS modules of each smart street light, and numbers each smart street light; S2: The daylight detector transmits the detection information to the cloud-based intelligent control terminal through the wireless transceiver module, and the cloud-based intelligent control terminal calculates the natural light intensity E1 in the corresponding area; S3: The cloud-based intelligent control terminal plots the natural light intensity E1 of each natural light intensity detection area into a time variation curve. When the natural light intensity E1 in 50% of the area is less than 300Lx, the corresponding time t1 is recorded, and a control instruction is sent to the electric control component through the wireless transceiver module, and all the electric control components are powered synchronously for lighting; S4: At night, the light detector transmits the detection information to the cloud intelligent control terminal through the wireless transceiver module. The cloud intelligent control terminal calculates the working light intensity E2 in the corresponding area. The light detector and the cloud intelligent control terminal continue to detect the working light intensity E2 of the smart street lamp in the corresponding area. S5: The cloud-based intelligent control terminal plots the working light intensity E2 of each working light intensity detection area into a time variation curve. When the working light intensity E2 in 50% of the area is greater than 1200Lx, the corresponding time t2 is recorded, and a control instruction is sent to the electronic control component through the wireless transceiver module, and the electronic control component synchronously stops power supply and lighting; S6: The cloud-based intelligent control terminal collects the meter data of each smart street lamp through the wireless transceiver module, and calculates the power utilization rate η of each smart street lamp lighting process; S7: When the working light intensity E2 in some areas in S5 is less than 200Lx, the cloud intelligent control terminal marks the smart street lamp in the area as a faulty street lamp. When the utilization rate η of the smart street lamp in S6 is less than 0.8, the cloud intelligent control terminal marks the smart street lamp as a leaking street lamp. The emergency handling and rapid repair arrangements for the operation of smart street lamps include: emergency handling and repair positioning within the faulty street lamp area and repair positioning of leaking street lamps.

2. According to the Internet of Things-based smart street lamp collaborative control method of claim 1, it is characterized in that: The calculation formula of the natural light intensity E1 is: Where Nφ1 is the total luminous flux of the light source detected by the daytime light detector, CU1 is the utilization coefficient 0.4, MF1 is the maintenance coefficient 0.7, and S is the detection area of ​​the light detector.

3. According to the Internet of Things-based smart street lamp collaborative control method of claim 1, it is characterized in that: The calculation formula of the working light illumination intensity E2 is: Where Nφ2 is the total luminous flux of the light source detected by the light detector at night, CU2 is the utilization coefficient 0.3, MF2 is the maintenance coefficient 0.8, and S is the detection area of ​​the light detector.

4. According to the Internet of Things-based smart street lamp collaborative control method of claim 1, it is characterized in that: The calculation formula of the electric energy utilization rate η is: Where P is the rated power of the smart street light, t1 is the time when the smart street light is powered on synchronously, t2 is the time when the smart street light stops powered on synchronously, and W is the electric energy data recorded by the electric meter during the working hours of the smart street light.

5. The method for collaboratively controlling smart street lamps based on the Internet of Things according to claim 1 is characterized in that: The emergency handling and repair positioning in the faulty street lamp area includes the following process: the cloud-based intelligent control terminal performs emergency handling control according to the position interval matrix arrangement in step one, controls the lighting angle control components of the smart street lamps adjacent to the faulty street lamp to adjust the lighting angle until the working light intensity E2 in the faulty street lamp area is greater than 300Lx, and the cloud-based intelligent control terminal locates the specific position of the faulty street lamp through the GPS module.

6. The method for coordinated control of smart street lamps based on the Internet of Things according to claim 1, characterized in that: The emergency repair and positioning of the leaking circuit breaker includes the following process: the terminal intelligent control terminal locates the specific position of the leaking circuit breaker through the GPS module.

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