A Smart Streetlight Collaborative Control Method Based on the Internet of Things

Abstract

This invention relates to the field of smart street light technology and discloses a collaborative control method for smart street lights based on the Internet of Things (IoT). The method includes the following steps: pre-operation installation preparation for smart street lights, operation control and feedback for smart street lights, and emergency handling and rapid repair arrangements for smart street lights. This invention calculates the intensity of natural light and working light, enabling synchronous switching of the working state of smart street lights without relying on set times. By arranging and numbering each smart street light in a matrix of location intervals, it facilitates marking and precise location mapping of each smart street light, enabling intelligent management of smart street lights. It also provides temporary supplementary lighting for areas with faulty street lights, ensuring illumination even when some smart street lights are damaged. The method is highly intelligent and can accurately pinpoint the location of faulty and leaky street lights, facilitating subsequent inspection, maintenance, and repair work.

Description

Technical Field

[0001] This invention relates to the field of smart street light technology, specifically to a collaborative control method for smart street lights based on the Internet of Things. Background Technology

[0002] Smart streetlights will be based on road lighting poles, integrating public security, traffic signals, communications, and traffic signs into one, achieving multi-pole integration, reducing roadside poles, and freeing up public space resources. At the same time, as an important carrier for smart city construction, smart streetlights will serve as a port for the Internet of Things, playing a greater "integrated" role. As the most densely and evenly distributed information infrastructure in the city, streetlight poles are considered to be a superior carrier for 5G base station outdoor coverage. Driven by smart city and 5G base station construction, they will gradually transform from a single lighting function into a new type of public infrastructure.

[0003] However, during prolonged use, some smart streetlights may malfunction and fail to provide illumination. In such cases, the area affected by the malfunctioning streetlight will experience insufficient lighting, thus impacting road conditions and demonstrating a lack of intelligence. Summary of the Invention

[0004] The purpose of this invention is to provide a smart street light collaborative control method based on the Internet of Things, which solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A collaborative control method for smart streetlights based on the Internet of Things includes the following steps: installation preparation before smart streetlight operation, smart streetlight operation control and feedback, and emergency handling and rapid repair arrangements for smart streetlight operation.

[0007] The pre-operation preparation for the smart streetlights includes the following steps:

[0008] Step 1: Install each smart street light in the green belt of the city 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, electricity meter, electrical control components, and lighting angle control components on the smart street light;

[0010] Step 3: Use the Internet of Things to wirelessly connect the cloud-based intelligent control terminal with the data transceiver terminals of each smart street light 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 light operation control and feedback includes the following steps:

[0013] S1: The cloud-based intelligent control terminal arranges all smart streetlights into a location interval matrix based on the GPS module built into each smart streetlight, and assigns a number to each smart streetlight.

[0014] S2: The daytime light detector transmits the detection information to the cloud intelligent control terminal through the wireless transceiver module. The cloud 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 table. When the natural light intensity E1 in 50% of the area is less than 300Lx, the corresponding time t1 is recorded, and control commands are sent to the electronic control components through the wireless transceiver module. All electronic control components are powered synchronously for lighting.

[0016] S4: The night 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 of the corresponding area. The light detector and the cloud intelligent control terminal continue to detect the working light intensity E2 of the smart street light when it is working 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 change curve table. When the working light intensity E2 in 50% of the area is greater than 1200Lx, the corresponding time t2 is recorded, and a control command is sent to the electronic control component through the wireless transceiver module. The electronic control component then stops supplying power to the lighting synchronously.

[0018] S6: The cloud-based intelligent control terminal collects the electricity meter data of each smart street light through the wireless transceiver module and calculates the energy utilization rate η of each smart street light during the lighting process.

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

[0020] The emergency response and rapid repair arrangements for smart streetlights include: emergency response and repair location within the area of ​​a faulty streetlight and repair location of a streetlight with a leaking circuit.

[0021] As a further aspect of the present invention: the formula for calculating the natural light intensity E1 is as follows:

[0022]

[0023] In the formula, Nφ1 is the total luminous flux of the light source detected by the photodetector during the day, CU1 is the utilization factor of 0.4, MF1 is the maintenance factor of 0.7, and S is the detection area of ​​the photodetector.

[0024] As a further aspect of the present invention: the formula for calculating the working light intensity E2 is as follows:

[0025]

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

[0027] As a further aspect of the present invention: the formula for calculating the power utilization rate η is:

[0028]

[0029] In the formula, P is the rated power of the smart street light, t1 is the time for the smart street light to be synchronously powered, t2 is the time for the smart street light to stop being synchronously powered, and W is the electrical energy data recorded by the meter during the working time of the smart street light.

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

[0031] As a further aspect of the present invention, the emergency repair and location of the leaky circuit light includes the following process: the terminal intelligent control terminal locates the specific location of the leaky circuit light through the GPS module.

[0032] Compared with the prior art, the beneficial effects of the technical solution of this application are as follows:

[0033] This invention calculates the intensity of natural light and working light, enabling synchronous switching of smart streetlights' operating states without requiring a set time. By arranging and numbering each smart streetlight in a matrix of location intervals, it facilitates precise marking and location mapping, enabling intelligent management of the streetlights. It also provides emergency temporary supplementary lighting for areas with faulty streetlights, ensuring illumination even when some streetlights are damaged. This highly intelligent system accurately pinpoints the location of faulty and leaky streetlights, facilitating subsequent troubleshooting and repair. Furthermore, by wirelessly connecting cloud-based intelligent control terminals to the smart streetlights via the Internet of Things (IoT), it allows for real-time monitoring and remote control of the streetlights' operational status, playing a crucial role in the construction of smart cities. Attached Figure Description

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

[0035] Figure 1 This is a flowchart illustrating the overall process of this invention.

[0036] Figure 2 A flowchart illustrating the installation preparations for the smart streetlights of this invention before operation;

[0037] Figure 3 This is a flowchart illustrating the operation control and feedback of the smart street light according to the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0039] Please see Figure 1-3 This invention provides a smart street light collaborative control method based on the Internet of Things, including the following steps: smart street light installation preparation before operation, smart street light operation control and feedback, and smart street light operation emergency handling and rapid repair arrangement.

[0040] The installation preparation for smart streetlights before operation includes the following steps:

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

[0042] The installation distance between two adjacent smart streetlights is 30-40m, which can ensure the lighting intensity requirements of urban roads at night, while reducing the number of smart streetlights to be built and lowering costs.

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

[0044] Step 3: Use the Internet of Things to wirelessly connect the cloud-based intelligent control terminal with the data transceivers of each smart street light in Step 2;

[0045] By wirelessly connecting cloud-based intelligent control terminals with smart streetlights through the Internet of Things, the operational status of smart streetlights 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 from Step 3, ensuring that each function can be used normally.

[0047] Functional testing should be conducted before the smart streetlights are actually put into use to ensure delivery quality.

[0048] The operation control and feedback of smart streetlights includes the following steps:

[0049] S1: The cloud-based intelligent control terminal arranges all smart streetlights into a location interval matrix based on the GPS module built into each smart streetlight, and assigns a number to each smart streetlight.

[0050] By arranging and numbering each smart street light in a matrix of location intervals, it is easy to mark and accurately match the location of each smart street light, thus facilitating intelligent management of smart street lights.

[0051] S2: The daytime light detector transmits the detection information to the cloud intelligent control terminal through the wireless transceiver module. The cloud intelligent control terminal calculates the natural light intensity E1 in the corresponding area.

[0052] The formula for calculating the intensity of natural light, E1, is:

[0053]

[0054] In the formula, Nφ1 is the total luminous flux of the light source detected by the photodetector during the day, CU1 is the utilization factor of 0.4, MF1 is the maintenance factor of 0.7, and S is the detection area of ​​the photodetector.

[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 table. When the natural light intensity E1 in 50% of the area is less than 300Lx, the corresponding time t1 is recorded, and control commands are sent to the electronic control components through the wireless transceiver module. All electronic control components are powered synchronously for lighting.

[0056] By accurately calculating the natural light intensity within each smart street light area, the natural light intensity can be accurately understood. Without controlling the lighting time of the smart street lights, the system can automatically control the smart street lights to provide illumination when natural light is insufficient.

[0057] S4: The night 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 of the corresponding area. The light detector and the cloud intelligent control terminal continue to detect the working light intensity E2 of the smart street light when it is working in the corresponding area.

[0058] The formula for calculating the working light intensity E2 is:

[0059]

[0060] In the formula, Nφ2 is the total luminous flux of the light source detected by the nighttime light detector, CU2 is the utilization factor of 0.3, MF2 is the maintenance factor of 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 change curve table. When the working light intensity E2 in 50% of the area is greater than 1200Lx, the corresponding time t2 is recorded, and a control command is sent to the electronic control component through the wireless transceiver module. The electronic control component then stops supplying power to the lighting synchronously.

[0062] By accurately calculating the working light intensity in each smart street light area, the working status of the smart street lights can be accurately understood. When the natural light intensity is strong, the smart street lights can be automatically controlled to stop working, eliminating the need to control the lighting off time of the smart street lights. This is both intelligent and reduces resource waste.

[0063] S6: The cloud-based intelligent control terminal collects the electricity meter data of each smart street light through the wireless transceiver module and calculates the energy utilization rate η of each smart street light during the lighting process.

[0064] The formula for calculating the energy efficiency η is:

[0065]

[0066] In the formula, P is the rated power of the smart street light, t1 is the time for the smart street light to be synchronously powered, t2 is the time for the smart street light to be synchronously stopped being powered, and W is the electrical energy data recorded by the meter during the working time of the smart street light.

[0067] S7: When the working light intensity E2 in a certain area of ​​S5 is less than 200Lx, the cloud-based intelligent control terminal marks the smart street light in that area as a faulty street light. When the utilization rate η of the smart street light in S6 is less than 0.8, the cloud-based intelligent control terminal marks the smart street light as a leaky circuit light.

[0068] It enables intelligent analysis of faulty streetlights and streetlights with leaking circuits, and intelligently determines the specific location of the faulty streetlights and streetlights with leaking circuits.

[0069] The emergency response and rapid repair arrangements for smart streetlights include: emergency response and repair location within the area of ​​a faulty streetlight and repair location for a streetlight with a leaking circuit.

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

[0071] This system enables temporary supplemental lighting in areas with faulty streetlights, ensuring illumination even when some smart streetlights are damaged. It is highly intelligent and can accurately pinpoint the location of faulty and leaky streetlights, facilitating subsequent troubleshooting and repair work.

[0072] In summary, the advantages of this invention are as follows: By wirelessly connecting the cloud-based intelligent control terminal with the smart streetlights through the Internet of Things, the operating status of the smart streetlights 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. By calculating the intensity of natural light and working light, the working status of the smart streetlights can be switched synchronously without the need for a set time. By arranging and numbering each smart streetlight in a matrix of location intervals, it is convenient to mark and accurately correspond the location of each smart streetlight, which facilitates intelligent management of smart streetlights. It enables emergency temporary supplementary lighting in areas with faulty streetlights, ensuring that the area can still be illuminated even when some smart streetlights are damaged. It is highly intelligent and can accurately pinpoint the specific location of faulty and leaky streetlights, facilitating subsequent inspection, maintenance, and emergency repair work by staff.

[0073] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A smart street light collaborative control method based on the Internet of Things, characterized in that: The process includes the following steps: installation preparation before smart street light operation, smart street light operation control and feedback, and emergency handling and rapid repair arrangements for smart street light operation. The pre-operation preparation for the smart streetlights includes the following steps: Step 1: Install each smart street light in the green belt of the city 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, electricity meter, electrical control components, and lighting angle control components on the smart street light; Step 3: Use the Internet of Things to wirelessly connect the cloud-based intelligent control terminal with the data transceiver terminals of each smart street light 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 light operation control and feedback includes the following steps: S1: The cloud-based intelligent control terminal arranges all smart streetlights into a location interval matrix based on the GPS module built into each smart streetlight, and assigns a number to each smart streetlight. S2: The daytime light detector transmits the detection information to the cloud intelligent control terminal through the wireless transceiver module. The cloud 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 table. When the natural light intensity E1 in 50% of the area is less than 300Lx, the corresponding time t1 is recorded, and control commands are sent to the electronic control components through the wireless transceiver module. All electronic control components are powered synchronously for lighting. S4: The night 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 of the corresponding area. The light detector and the cloud intelligent control terminal continue to detect the working light intensity E2 of the smart street light when it is working 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 change curve table. When the working light intensity E2 in 50% of the area is greater than 1200Lx, the corresponding time t2 is recorded, and a control command is sent to the electronic control component through the wireless transceiver module. The electronic control component then stops supplying power to the lighting synchronously. S6: The cloud-based intelligent control terminal collects the electricity meter data of each smart street light through the wireless transceiver module and calculates the energy utilization rate η of each smart street light during the lighting process. S7: When the working light intensity E2 in a certain area of ​​S5 is less than 200Lx, the cloud-based intelligent control terminal marks the smart street light in that area as a faulty street light. When the power utilization rate η of the smart street light in S6 is less than 0.8, the cloud-based intelligent control terminal marks the smart street light as a leaky circuit light. The emergency response and rapid repair arrangements for smart streetlights include: emergency response and repair location within the area of ​​a faulty streetlight and repair location of a streetlight with a leaking circuit.

2. The smart street light collaborative control method based on the Internet of Things according to claim 1, characterized in that, The formula for calculating the natural light intensity E1 is: In the formula, Nφ1 is the total luminous flux of the light source detected by the photodetector during the day, CU1 is the utilization factor of 0.4, MF1 is the maintenance factor of 0.7, and S is the detection area of ​​the photodetector.

3. The smart street light collaborative control method based on the Internet of Things according to claim 1, characterized in that, The formula for calculating the working light intensity E2 is: In the formula, Nφ2 is the total luminous flux of the light source detected by the light detector at night, CU2 is the utilization factor of 0.3, MF2 is the maintenance factor of 0.8, and S is the detection area of ​​the light detector.

4. The smart street light collaborative control method based on the Internet of Things according to claim 1, characterized in that, The formula for calculating the energy utilization rate η is: In the formula, P is the rated power of the smart street light, t1 is the time for the smart street light to be synchronously powered, t2 is the time for the smart street light to stop being synchronously powered, and W is the electrical energy data recorded by the meter during the working time of the smart street light.

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

6. The smart street light collaborative control method based on the Internet of Things according to claim 1, characterized in that, The emergency repair and location of the leaky circuit light includes the following process: the terminal intelligent control terminal locates the specific location of the leaky circuit light through the GPS module.

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