Iot peak-shaving energy storage led intelligent street lamp digital platform

Abstract

This invention relates to a digital platform for IoT-based peak-shaving and energy storage LED smart streetlights. The streetlights include a power supply interface from the public power grid for supplying power to the lighting module and / or energy storage module during a first time period, and a power supply interface from the energy storage module for supplying power to the lighting module during a second time period. A first depreciation rate is monitored and calculated based on the first time interval. Streetlights with a first depreciation rate higher than a first preset value are marked as inefficient streetlights. A cost-effectiveness index is determined for each planned area based on the additional electricity cost and maintenance operation cost of inefficient streetlights. Based on this, maintenance priorities are determined among the planned areas to adjust maintenance times, resulting in target maintenance work orders for maintenance. When the first depreciation rate is determined to be higher than the first preset value, the system updates by monitoring and calculating a second depreciation rate based on a second time interval and updates the marking of the first streetlight; the cost-effectiveness index for each planned area is also updated. This reduces costs while ensuring facility safety and utilization.

Description

[0001] This application is a divisional application of Chinese invention patent application No. 2024118795863, filed on December 18, 2024, entitled "Digital Platform for Smart Street Light with Five Primary Colors, Full Spectrum, and Multi-Color Temperature LED Peak-Shaving Energy Storage for Internet of Things". Technical Field

[0002] This invention relates to the field of street light management, and more particularly to an IoT-based digital platform for peak-shaving energy storage LED smart street lights. Background Technology

[0003] Streetlights are key facilities installed on public roads to provide illumination at night or in other low-light conditions. They are designed to ensure traffic safety, improve public safety, and beautify the urban landscape. Some new streetlights also integrate multiple functions such as Wi-Fi hotspots, environmental monitoring, and charging piles, becoming an important part of smart city infrastructure.

[0004] To improve the practicality of streetlights and reduce costs, introducing a solution that alternates between batteries and grid power is an innovative and effective strategy. For example, the nation's first integrated energy storage and charging smart streetlight demonstration project has been connected to the grid in Shuangliu District, Chengdu. The streetlights are characterized by charging during off-peak hours at night and supplying power to the grid during peak hours. This project, a technology transfer project jointly undertaken by the Shuangliu District government and enterprises, is located on Jinhe Road in Shuangliu District. It utilizes smart streetlights developed and manufactured by Huati Technology. Initially, four smart streetlight systems were piloted, with each pole equipped with a 40 kWh energy storage battery, connected to the grid via a nearby public transformer on the low-voltage side.

[0005] For example, Chinese invention patent CN103634977B discloses an intelligent management system for energy storage LED streetlights, including an energy storage device, an energy storage control device, a lighting device, a lighting control device, and a communication device. The energy storage device is electrically connected to the energy storage control device, the external power grid, and the lighting device. The lighting device is electrically connected to the energy storage device and the external power grid. The control output interface of the lighting control device is electrically connected to the lighting device, and its communication interface is connected to the communication device. The communication device is connected to the terminal control equipment. The lighting device is an LED streetlight. It includes an energy storage module that charges and stores energy during off-peak hours when electricity prices are low, and discharges energy during peak hours when electricity prices are high, thus supplementing the power grid and playing a role in peak shaving and valley filling.

[0006] However, while this hybrid power supply mode brings significant economic benefits, it also increases the complexity of maintenance and management and manpower consumption, greatly reducing its practicality. Summary of the Invention

[0007] The main objective of this invention is to provide a digital platform for IoT-based peak-shaving energy storage LED smart streetlights.

[0008] The present invention specifically adopts the following technical solution: The first aspect of this invention is to provide a control method for a smart street light with IoT-enabled five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage. The street light includes a lighting module, a first power supply interface corresponding to the public power grid, an energy storage module, and a second power supply interface corresponding to the energy storage module. The first power supply interface is used to supply power to the lighting module and / or the energy storage module during a first time period, and the second power supply interface is used to supply power to the lighting module during a second time period. The method includes: S201 According to the first time interval, when the energy storage module is charged by the first power supply interface, the charging amount of the first power supply interface and the stored amount of the energy storage module are monitored; the first depreciation rate of the energy storage module is calculated based on the charging amount and the stored amount. S202 When the first loss rate of the energy storage module is detected to be higher than the first preset value, the corresponding first street light is marked as an inefficient street light; S203 determines the cost-benefit index for each planning area based on the additional electricity cost corresponding to the inefficient streetlights in each planning area and the maintenance operation cost of the planning area; S204 Obtain a daily maintenance work order, which is used to record the maintenance time for each planned area; determine the maintenance priority among several planned areas based on the cost-benefit index of each planned area, and adjust the maintenance time of each planned area based on the maintenance priority to obtain the target maintenance work order. S205 Repairs inefficient streetlights in several of the planned areas according to the target maintenance work order; The method further includes: triggering batch maintenance based on the difference between the optimal maintenance interval and the actual maintenance interval in the planned area; the triggering of batch maintenance includes: sampling street light components from the same batch according to the production batch of the street lights in the corresponding planned area to determine whether there are product component defects.

[0009] In some embodiments, when it is determined in step S202 that the first depreciation rate is higher than a first preset value, the method further includes: acquiring at least two second streetlights within the planning area where the first streetlight is located; comparing the depreciation rate difference between the first depreciation rate of the first streetlight and the first depreciation rate of the second streetlight; if the depreciation rate difference is greater than a preset difference, updating the second time interval to a third time interval, wherein the third time interval is less than the second time interval; calculating the third depreciation rate of the energy storage module when the energy storage module is charged by the second power supply interface based on the third time interval; updating the label of the first streetlight according to the third depreciation rate; and updating the statistics on the additional electricity cost of inefficient streetlights in each planning area.

[0010] In some embodiments, the maintenance priority includes a first maintenance level; step S204 includes: when the cost-benefit index is less than a first cost index, setting the corresponding first planning area as the first maintenance level, and adjusting the maintenance time of the first planning area to a first time threshold.

[0011] In some embodiments, the maintenance priority further includes a second maintenance level, wherein the planning area of ​​the first maintenance level is prioritized for maintenance over the planning area of ​​the second maintenance level; step S204 includes: when the cost-benefit index is greater than a first cost index and less than a second cost index, setting the corresponding second planning area as the second maintenance level, and adjusting the maintenance time of the second planning area to a second time threshold; wherein the first time threshold is earlier than the second time threshold.

[0012] In some embodiments, the method further includes: when the second damage rate is higher than a second preset value, and / or when the third damage rate is higher than the second preset value, marking the corresponding first street light as a faulty street light, wherein the second preset value is higher than the first preset value; updating the fourth planning area where the faulty street light is located to a first maintenance priority, and adjusting the maintenance time of the fourth planning area to a first time threshold.

[0013] In some embodiments, the method further includes: when the second loss rate is continuously lower than a first preset value, and / or when the third loss rate is continuously lower than the first preset value, monitoring the actual lighting time powered by the energy storage module; if the actual lighting time is greater than or equal to a preset qualified time, marking the corresponding first street light as a normal street light.

[0014] In some embodiments, the method further includes: calculating the actual paving density of each planning area based on the number of inefficient streetlights in the planning area and the area of ​​the planning area; when the actual paving density of each planning area is less than a preset density value, updating the corresponding fifth planning area to the first maintenance level, and adjusting the maintenance time of the fifth planning area to a first time threshold.

[0015] In some embodiments, the method further includes: after any of the planned areas has been inspected, generating the next inspection time according to the optimal inspection interval corresponding to the planned area, and writing it into the daily inspection work order.

[0016] In some embodiments, the five-primary-color full-spectrum multi-color-temperature LED includes a substrate; two single-primary-color light-emitting units on the central axis along the width direction of the substrate; and a multi-primary-color light-emitting unit matrix respectively disposed on both sides of the central axis along the width direction of the substrate. Each column of the multi-primary-color light-emitting unit matrix includes single-primary-color light-emitting units of two primary colors. The single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and no two of the red, blue, and green primary-color light-emitting units are adjacent.

[0017] A second aspect of the present invention is to provide an IoT-based digital platform for peak-shaving energy storage LED smart streetlights, the digital platform comprising: a plurality of smart streetlights and a remote control center; wherein each of the smart streetlights comprises a lighting module, an energy storage module, a public power module, and an IoT controller; The lighting module is used to generate light based on electric current; The public power module is used to obtain power supply from the public power grid. The public power module also includes a first power supply interface corresponding to the public power grid. The first power supply interface is used to supply power to the lighting module and / or the energy storage module during a first time period. The energy storage module is used to acquire and store electrical energy through the first power supply interface in the first time period. The energy storage module includes a second power supply interface, which is used to supply power to the lighting module in the second time period. The IoT controller communicates with the remote control center to implement the steps of the IoT peak-shaving energy storage LED smart street light control method as described in any embodiment of the present invention.

[0018] Beneficial technical effects: This invention provides a centralized maintenance method for off-peak energy storage lamps that ensures facility safety and utilization while reducing costs. Specifically, it provides a control method for IoT-enabled five-primary-color full-spectrum multi-color-temperature LED off-peak energy storage smart streetlights.

[0019] First, the assessment based on the energy storage module's failure rate calculation accurately and quickly identifies battery performance degradation, enabling dynamic response to maintenance work orders. When a fault risk is detected, maintenance priorities can be adjusted immediately, prioritizing high-risk areas to ensure timely resolution of safety issues, reduce potential safety hazards, help reduce the frequency of sudden failures, avoid large-scale replacement needs due to battery aging, and thus significantly reduce long-term maintenance costs.

[0020] Based on this, a multi-level battery performance monitoring mechanism is provided, which adopts different monitoring frequencies according to the different street light conditions, so as to improve the response speed and accuracy of maintenance work order adjustments, and further realize the high adaptability of maintenance work arrangements to the current scenario.

[0021] Normal state: Regular monitoring at longer intervals (first interval) ensures normal equipment operation while saving resources and reducing unnecessary data processing burden.

[0022] Inefficient status: Shorten the monitoring interval (second interval) and monitor inefficient streetlights more frequently to ensure their safe operation during delayed maintenance.

[0023] Abnormal conditions: Further shorten the monitoring time interval (third time interval). When the failure rate of an inefficient street light is abnormal, conduct high-frequency monitoring of batteries suspected of having safety risks to improve the response speed to battery safety risks.

[0024] Furthermore, a maintenance strategy based on cost-benefit analysis and multi-dimensional adjustments is provided, enabling flexible and targeted maintenance arrangements that improve the efficiency and response speed of maintenance work and achieve optimal resource allocation. On one hand, street light maintenance is conducted centrally in each planned area according to maintenance work orders. This involves comprehensively considering the efficiency of energy storage modules, additional electricity costs, and actual maintenance operation costs to optimize maintenance time and resource allocation. Then, based on a comparison of the costs required for maintenance and the benefits after maintenance, resources are rationally allocated, making maintenance work more economical and efficient. On the other hand, by combining factors such as battery safety risks, actual lighting needs, and installation density, maintenance priorities are dynamically adjusted to improve the utilization efficiency of street lights, avoid unnecessary resource waste, and enhance the adaptability of maintenance work orders to actual application scenarios. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. The elements or parts in the drawings are not necessarily drawn to scale. Obviously, the drawings described below are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0026] Figure 1 This is a schematic diagram of an IoT-based smart street light and digital platform for five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage, provided by an embodiment of the present invention. Figure 2 This is a schematic flowchart of another IoT-based smart street light and digital platform for five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage provided by an embodiment of the present invention; Figure 3 This is a light source distribution diagram of a five-primary-color full-spectrum multi-color-temperature LED provided by an embodiment of the present invention; Figure 4 This is a schematic flowchart of a control method for a smart street light with five primary colors, full spectrum, and multiple color temperatures LED peak-shaving energy storage provided by an embodiment of the present invention; Figure 5 This is a field operation diagram of street light maintenance provided in an embodiment of the present invention; Figure 6 This is a field operation diagram of centralized maintenance of streetlights provided in an embodiment of the present invention; Figure 7 This is a schematic flowchart illustrating another control method for IoT-enabled smart streetlights with five primary colors, full spectrum, and multiple color temperatures, provided in this embodiment of the invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0028] In this document, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" may be used interchangeably.

[0029] In this document, the terms "upper," "lower," "inner," "outer," "front," "rear," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0030] In this document, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0031] In this document, "and / or" includes any and all combinations of one or more of the listed related items.

[0032] In this article, "multiple" means two or more, that is, it includes two, three, four, five, etc.

[0033] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0034] Please see Figures 1 to 3 , Figure 1 This is a schematic diagram of an IoT-based smart street light and digital platform for five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage, provided by an embodiment of the present invention. Figure 2 This is a schematic flowchart of another IoT-based smart street light and digital platform for five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage provided by an embodiment of the present invention; Figure 3 This is a light source distribution diagram of a five-primary-color full-spectrum multi-color-temperature LED provided by an embodiment of the present invention.

[0035] like Figure 1As shown, this embodiment of the invention provides a digital platform for IoT five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart streetlights. The digital platform includes: several IoT five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart streetlights 300 and a remote control center 400 that are connected in communication. Each IoT five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart street light 300 includes a lighting module 301, an energy storage module 302, a public power module 303, and an IoT controller 304. The lighting module 301 is used to generate light based on electric current; The public power module 303 is used to obtain power supply from the public power grid. The public power module 303 also includes a first power supply interface corresponding to the public power grid. The first power supply interface is used to supply power to the lighting module 301 and / or the energy storage module 302 during a first time period. The energy storage module 302 is used to acquire and store electrical energy through the first power supply interface in the first time period. The energy storage module 302 includes a second power supply interface, which is used to supply power to the lighting module 301 in the second time period. The IoT controller 304 communicates with the remote control center 400 to implement the steps of the control method for IoT five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart street lights provided in any embodiment of the present invention.

[0036] Among them, the IoT five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart street light (hereinafter referred to as "smart street light") refers to the smart street light 300 in the embodiment of the present invention, which can be based on IoT communication, and the lighting module 301 of the smart street light 300 adopts a combination of five primary colors (white, green, yellow, blue, and red) LED chips, which can provide different color temperatures from warm white to cool white, and support full-spectrum output and simulate natural sunlight.

[0037] The IoT controller 304 also includes an IoT communication module, which is a key component for enabling device networking and remote management, allowing the controller to exchange data with other devices and the remote control center 400. The specific type can be a wired network (such as Ethernet), a wireless network (such as Wi-Fi, 4G / 5G, LoRa, Zigbee, etc.), or a hybrid network.

[0038] For example, such as Figure 2As shown, several interconnected IoT-enabled five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart streetlights 300 can communicate with a remote control center 400 via an IoT controller 304. Based on this, the IoT controller 304 and the remote control center 400 work together to implement the steps of the control method for IoT-enabled five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart streetlights as provided in any embodiment of the present invention. Furthermore, the several interconnected IoT-enabled five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart streetlights 300 can also communicate directly with each other via the IoT controller 304.

[0039] For example, such as Figure 3 As shown, the five-primary-color full-spectrum multi-color-temperature LED includes a substrate 3031; two single-primary-color light-emitting units on the central axis along the width direction of the substrate 3031; and a multi-primary-color light-emitting unit matrix respectively disposed on both sides of the central axis along the width direction of the substrate. Each column of the multi-primary-color light-emitting unit matrix includes single-primary-color light-emitting units of two primary colors. The single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and no two of the red, blue, and green primary-color light-emitting units are adjacent.

[0040] Furthermore, each single-color light-emitting unit is equipped with a corresponding lens 3012. When the full-spectrum light source is connected to a power source, the light emitted by the single-color light-emitting unit enters through the incident surface of the lens 3012, is transmitted through the lens 3012, and exits through the exit surface of the lens. This light mixes with the light emitted by other single-color light-emitting units after exiting through their respective lens 3012 exit surfaces in a specific area, resulting in full-spectrum white light where the light intensity on both sides is greater than the light intensity at the center, and retains the independent spectrum of each primary color. The corresponding primary color light-emitting branches of the full-spectrum multi-color temperature light source can be adjusted to be turned on or off through corresponding adjustment circuits. This allows the current value of each primary color light-emitting branch to be adjusted according to different road segments, thereby adjusting the color temperature of the full-spectrum multi-color temperature light source to meet the different color temperature requirements of different road segments, or adjusting the brightness of the full-spectrum multi-color temperature light source to meet the different brightness requirements of different road segments.

[0041] The energy storage module 302, also known as an energy storage module, is a device used to store electrical energy and release it when needed to balance the grid load and achieve peak-shifting power consumption. The energy storage module 302 may include a battery pack, a battery management system, a power converter, and a communication interface. The battery types in the battery pack include, but are not limited to, lithium-ion batteries, lead-acid batteries, and sodium-sulfur batteries. The appropriate type can be selected based on the application requirements of the streetlights, considering factors such as energy density, power output, cycle life, and cost.

[0042] In some embodiments, the energy storage module is used not only to power the lighting module, but also to power other modules inside the smart street light that require power to drive, so that the normal operation of the smart street light during the second period depends entirely on the energy storage module, without using the mains power provided by the public power grid.

[0043] Peak-shaving energy storage can be achieved by adding energy storage modules to streetlights. Specifically, this involves charging the modules at night when electricity prices are low and / or power supply is stable, and then using the stored energy to power the streetlights during peak daytime hours when electricity prices are high. This reduces pressure on the power grid and electricity costs, providing a stable power supply for the streetlights. This is particularly effective in cities implementing time-of-use pricing policies, significantly reducing operating costs. Furthermore, the batteries can serve as backup power, ensuring uninterrupted street lighting in emergencies such as power outages, thus improving public safety.

[0044] For example, such as Figure 1 As shown, the smart street light 300 may also include a drive module 305, which has a power conversion function to switch the power supply interface of the lighting module 301 in the first time period and the second time period, and to provide a stable current to the lighting module 301.

[0045] For example, the lighting module 301 includes a five-primary-color full-spectrum multi-color-temperature LED; the power supply module 303 includes a driver power supply for converting AC power supplied by the public power grid into DC power suitable for LED operation and ensuring stable output voltage or current.

[0046] like Figure 1 As shown, during the first time period, the power supply from the public power grid is obtained through the drive power of the public power module 303. On the one hand, power is supplied to the lighting module 301 through the IoT controller 304 based on the first power supply interface. On the other hand, power is supplied to the energy storage module 302 through the IoT controller 304 based on the first power supply interface to complete the energy storage of the energy storage module 302. During the second time period, the energy storage module 302 supplies power to the lighting module 301 through the drive module 305 based on the second power supply interface.

[0047] To further improve the economic benefits and practicality of the hybrid power supply mode, this invention proposes a centralized maintenance method for off-peak energy storage streetlights that takes into account both maintenance labor costs and electricity price costs. Specifically, it provides an Internet of Things (IoT) five-primary-color full-spectrum multi-color-temperature LED off-peak energy storage smart streetlight and its control method.

[0048] The smart street light includes a lighting module, a first power supply interface corresponding to the public power grid, an energy storage module, and a second power supply interface corresponding to the energy storage module. The first power supply interface is used to supply power to the lighting module and / or the energy storage module during a first time period, and the second power supply interface is used to supply power to the lighting module during a second time period. Please refer to [link to relevant documentation]. Figure 4 , Figure 4 This is a schematic flowchart illustrating a control method for a smart street light with five primary colors, full spectrum, and multiple color temperatures (LEDs) for peak-shaving energy storage, provided in an embodiment of the present invention. Figure 4 As shown, the method includes steps S101 to S105.

[0049] S101 When the first power supply interface charges the energy storage module, monitor the charging power of the first power supply interface and the stored power of the energy storage module; calculate the first depreciation rate of the energy storage module based on the charging power and the stored power.

[0050] During use, the batteries in energy storage modules gradually deteriorate. Battery aging or degradation is an inevitable natural process. Correspondingly, the percentage decrease in the current capacity of the battery relative to its standard capacity (i.e., the maximum capacity when the battery is new) can be calculated to identify energy storage modules with deteriorating performance, thereby understanding the health status of the energy storage modules. For example, a data acquisition card and LabVIEW software platform can be used to monitor the charging and discharging process of the battery in real time to determine the deterioration rate of the energy storage module.

[0051] S102 When the first loss rate of the energy storage module is detected to be higher than the first preset value, the corresponding first street light is marked as an inefficient street light.

[0052] The first preset value is used to assess the necessity of maintenance for the energy storage module. The specific threshold can be flexibly set according to actual needs and is not limited here. It should be understood that the setting of the first preset value needs to take into account the characteristics of various battery types. When the failure rate is lower than the first preset value, it has little impact on the normal operation of the street light. Allowing a certain degree of capacity loss without immediately triggering maintenance results in lower additional motor costs, thus avoiding unnecessary maintenance costs and resource waste.

[0053] For example, when the battery capacity drops to 70%-60% of its original capacity, the battery's energy storage capacity is significantly reduced, the efficiency of the street light decreases, and the battery may also pose potential safety risks. Therefore, the first preset value is set to 30%-40%. When the damage rate is higher than the first preset value, the maintenance signal of the energy storage module can be triggered.

[0054] S103 determines the cost-benefit index for each planning area based on the additional electricity cost corresponding to the inefficient streetlights in each planning area and the maintenance operation cost of the planning area.

[0055] The planning area is pre-defined based on geographical location and the number of streetlights. For example, the area is geographically divided according to the distribution of smart streetlights, while also considering the number and density of streetlights in each area to ensure that the workload in each area is roughly balanced, thus forming several relatively independent planning areas.

[0056] The additional electricity cost refers to the electricity charges incurred due to the increased mains power required for streetlights caused by a decline in the performance of the energy storage module (increased loss rate). For example, a normally functioning energy storage module might have enough capacity to power a smart streetlight for 5 hours. However, due to a decrease in capacity, it might only power the streetlight for 4 hours. In this case, an additional hour of mains power is needed to power the streetlight, and the resulting electricity cost is the additional electricity cost. Another example is calculating the difference in electricity costs between normal and inefficient streetlights in the same area. Yet another example is counting the number of inefficient streetlights and estimating the additional electricity cost based on the first loss rate and the number of inefficient streetlights.

[0057] Maintenance operation costs include labor costs, consumable costs, equipment costs, and operating costs incurred during maintenance. They may also include transportation costs (such as vehicle rental and fuel costs) and accommodation costs incurred when dispatching teams to different locations for maintenance. Maintenance operation costs may vary in different planning areas. For example, maintenance operation costs in remote areas are often much higher than in other areas. Maintenance operation costs may also vary over time. For example, maintenance operation costs in the same area are higher in winter than in spring.

[0058] Please see Figures 5 to 6 , Figure 5 This is a field operation diagram of street light maintenance provided in an embodiment of the present invention; Figure 6 This is a field operation diagram for street light maintenance provided in an embodiment of the present invention. For example... Figures 5 to 6 As shown, street light maintenance requires not only a large workforce for on-site assessment, fault diagnosis, and actual repairs, but also specialized equipment such as aerial work platforms and cleaning equipment. Therefore, centralized maintenance can significantly reduce maintenance costs. These costs can be estimated using historical data, market conditions, industry standards, and distances within the planned area.

[0059] Cost-benefit indicators are used to measure the relationship between costs and benefits. Specific cost-benefit indicators can include cost savings rate, return on investment, etc. For example, maintenance costs are considered as actual costs, while the potential savings in electricity costs after maintenance are considered as expected benefits. This involves more complex financial models and more data, such as the lifespan of streetlights, maintenance frequency, and failure rate—factors that may affect the final cost-benefit analysis results.

[0060] S104 Obtains a daily maintenance work order, which records the maintenance time for each planned area; based on the cost-benefit index of each planned area, determines the maintenance priority among several planned areas, and adjusts the maintenance time of each planned area based on the maintenance priority to obtain the target maintenance work order. The daily maintenance work order includes, but is not limited to, the expected maintenance schedule, the street light number to be maintained, the maintenance personnel, and the resources required for the maintenance work (such as tools, spare parts, and manpower).

[0061] S105 performs maintenance on inefficient streetlights in several planned areas according to the target maintenance work order. Maintenance includes, but is not limited to, replacing or repairing damaged components, updating software, and adjusting parameters to restore the streetlights to their optimal working condition.

[0062] Specifically, when charging the energy storage module using mains power, the charging capacity of the first power supply interface and the actual stored capacity of the energy storage module are monitored in real time to calculate the first depreciation rate of the energy storage module. By regularly monitoring and analyzing the depreciation of the energy storage module, its health status can be understood, performance degradation trends can be identified, and corresponding preventive measures can be taken to extend its service life. This helps reduce the frequency of sudden failures, avoids large-scale replacement needs due to battery aging, and thus significantly reduces long-term maintenance costs.

[0063] When the first failure rate of the energy storage module exceeds a first preset value, the corresponding streetlight is marked as an inefficient streetlight to quickly locate streetlights requiring priority attention. The number of inefficient streetlights within each planning area is statistically analyzed, and the additional electricity cost caused by inefficient streetlights and the corresponding maintenance operation cost for that planning area are calculated. This allows for the determination of cost-effectiveness indicators for each planning area, quantifying the economic impact of battery performance degradation in different regions. Based on the cost-effectiveness indicators of each planning area, the maintenance priorities among multiple planning areas are reassessed and determined, with areas of higher urgency assigned higher priority. Based on the new priority order, the maintenance schedule for each planning area is adjusted, generating an optimized target maintenance work order.

[0064] Therefore, by taking into account both maintenance costs and electricity costs, and on the basis of maximizing cost-effectiveness, the maintenance schedule is optimized to ensure the best use of resources, avoid unnecessary duplication of work or delays in key tasks, and carry out street light maintenance in a centralized manner by region according to the finalized target maintenance work order, thereby further reducing maintenance costs and ensuring that the maintenance work is both efficient and economical.

[0065] In some embodiments, the method further includes: acquiring basic usage data and historical maintenance data of streetlights; training a cost optimization model based on the basic usage data and the historical maintenance data, wherein the cost optimization model is used to predict the optimal maintenance interval; calculating the optimal maintenance interval for each planning area based on the cost optimization model and the basic usage data and historical maintenance data of streetlights installed in each planning area; and generating the daily maintenance work order based on the optimal maintenance interval for each planning area.

[0066] Among them, the basic usage data is data related to the performance of smart streetlights, including basic information of the streetlights (such as model, power, installation date, etc.), operating status (such as daily lighting time, brightness changes, etc.) and environmental factors (such as weather conditions, traffic flow, etc.).

[0067] Among them, historical maintenance data includes data related to the maintenance of several or several types of smart streetlights, including all past maintenance records, such as the specific time of each maintenance, the reason for maintenance, the measures taken and the results, etc.

[0068] Using the two types of data mentioned above as input, a cost optimization model is trained through machine learning algorithms. The model considers multiple factors, such as the impact of maintenance frequency on lamp lifespan, differences in labor costs for maintenance at different times, and service interruption losses due to malfunctions, thereby reducing maintenance costs while ensuring the reliability of smart streetlights. Furthermore, the trained cost optimization model can be used to predict the optimal maintenance interval for each planned area. By inputting specific basic usage data and historical maintenance data for each area into the model, the most suitable maintenance cycle recommendation is obtained, thereby generating detailed daily maintenance work orders.

[0069] It should be understood that maintenance strategies should be dynamically adjusted based on actual usage, rather than relying on fixed or experience-based time intervals. This not only reduces unnecessary maintenance activities and lowers operating costs, but also improves system reliability and user satisfaction. Furthermore, as more data accumulates, the model will continuously improve, becoming more accurate and effective.

[0070] In some embodiments, the cost-effectiveness index of each planning area is determined by quantifying the power consumption and additional electricity cost of inefficient streetlights and comparing them with maintenance operation costs. S103 includes: calculating the power consumption cost of each inefficient streetlight based on a first depreciation rate of each inefficient streetlight in the planning area; calculating the additional electricity cost based on the electricity price standard of the planning area and the power consumption cost of each inefficient streetlight; calculating the cost difference between the additional electricity cost and the maintenance operation cost; and determining the cost-effectiveness index of each planning area based on the cost difference.

[0071] Based on the first depreciation rate of each inefficient street light in the planned area, the efficiency loss of these street lights during normal operation is assessed, such as the reduction in battery-powered lighting time and the corresponding additional time that mains lighting is required. The actual power consumption of each inefficient street light is then calculated using the first depreciation rate. For example, for a normally functioning energy storage module, the amount of electricity charged and stored is almost equal (or the loss value is a small, negligible fixed value). When the depreciation rate increases, the amount of electricity charged exceeds the amount stored, and the electricity cost corresponding to the difference between the two is the additional electricity price cost.

[0072] Specifically, additional electricity costs can be calculated based on the electricity price standards of the planned area (such as time-of-use pricing, peak-valley pricing, etc.) and the electricity consumption costs of each inefficient street light. This cost is the extra electricity expenditure caused by the inefficiency of the street lights.

[0073] Furthermore, the additional electricity cost is compared with the maintenance operation cost to determine the cost difference. For example, the net cost is the additional electricity cost minus the maintenance operation cost, or the savings are the maintenance operation cost minus the additional electricity cost. If the additional electricity cost is higher than the maintenance operation cost, it indicates that maintenance may be a more economical choice; conversely, maintaining the status quo may be more cost-effective. Another example is calculating the ratio between the additional electricity cost and the maintenance operation cost. If the ratio is less than 1, it indicates that maintenance may be a more economical choice; if the ratio is greater than 1, maintaining the status quo may be more cost-effective.

[0074] Cost-benefit indicators are determined for each planning area based on the cost difference to determine whether maintenance is economically viable within that area. For example, a mapping table between cost difference and cost-benefit indicators is pre-set. The cost-benefit indicators are determined based on the threshold range of the cost difference. For instance, when the cost difference is the net cost after deducting maintenance operation costs from the additional electricity price, the cost-benefit indicator in the mapping table is as follows: Level 1 cost-benefit is 500 or above, Level 2 cost-benefit indicator is (500, 300], Level 3 cost-benefit indicator is (300, 1], and Level 4 cost-benefit indicator is less than 1. When the cost difference is 700 yuan, the corresponding cost-benefit indicator is Level 3.

[0075] This optimized resource allocation ensures the effective use of funds and manpower, while improving the overall operational efficiency of the urban lighting system. Furthermore, continuous monitoring and adjustments can further enhance the accuracy of cost-benefit analysis, making maintenance plans more scientific and rational. For example, if the cost-benefit indicators for a certain planning area show positive results (i.e., long-term savings after maintenance exceed maintenance costs), then maintenance can be prioritized for that area; conversely, if the cost-benefit indicators are unsatisfactory, maintenance can be postponed, and the timing of maintenance can be reassessed.

[0076] Furthermore, a multi-level maintenance system was established based on cost-effectiveness to provide a clear framework for assessing and comparing maintenance needs in different areas or projects, so as to rationally arrange maintenance work schedules and make maintenance work more planned and targeted.

[0077] In some embodiments, the maintenance priority includes a first maintenance level; step S104 includes: when the cost-benefit index is greater than the first cost index, setting the corresponding first planning area as the first maintenance level, and adjusting the maintenance time of the first planning area to a first time threshold.

[0078] Specifically, the first level of maintenance is priority maintenance. When the cost-benefit difference of a certain planning area is large, it indicates that timely maintenance can reduce the overall cost. Maintenance work should be arranged as soon as possible to prevent potential problems from evolving into larger failures and causing higher economic losses.

[0079] In some embodiments, the maintenance priority further includes a second maintenance level, wherein the planning area of ​​the first maintenance level is prioritized for maintenance over the planning area of ​​the second maintenance level; S104 includes: when the cost-benefit index is less than a first cost index and greater than a second cost index, setting the corresponding second planning area as the second maintenance level, and adjusting the maintenance time of the second planning area to a second time threshold; wherein the first time threshold is earlier than the second time threshold.

[0080] Specifically, the second level of maintenance is delayed maintenance. If the cost-benefit difference is small, the maintenance at the current stage will not bring significant cost savings and may even lead to unnecessary expenses. Therefore, the maintenance time should be appropriately postponed, and the areas with smaller cost-benefit differences should be maintained first.

[0081] In this system, the first cost indicator is greater than the second cost indicator. From a cost perspective, the time urgency of maintenance in each maintenance area is determined. The first cost indicator is used to identify planning areas with tight maintenance schedules, while the second cost indicator is used to identify planning areas with relatively ample time for maintenance. Based on the aforementioned example, the first cost indicator can be the minimum value of 100 corresponding to the first-level cost-benefit and second-level cost indicators, and the second cost indicator can be the minimum value of 1 corresponding to the third-level cost-benefit.

[0082] Specifically, the first cost indicator is used to identify scenarios where the additional electricity cost is greater than the maintenance operation cost, and the absolute value of the corresponding cost difference is large. The second cost indicator is used to identify scenarios where the additional electricity cost is greater than the maintenance operation cost, or the additional electricity cost is less than the maintenance operation cost, and the absolute value of the corresponding cost difference is small. The specific values ​​of the first and second cost indicators can be flexibly set according to the actual situation.

[0083] Correspondingly, a first time threshold and a second time threshold are set. The specific thresholds can be flexibly determined based on the maintenance equipment situation, maintenance manpower situation, first cost indicators, second cost indicators, etc. For example, if the first time threshold is 5 days and the second time threshold is 20 days, when the maintenance time is adjusted to the second time threshold, the maintenance in that area needs to be completed within 20 days. Alternatively, if the second cost indicator is set low, the planned area is more easily identified as a second planned area; in this case, the second time threshold can be set to 30 days.

[0084] In some embodiments, the maintenance priority includes a third maintenance level; step S104 includes: when the cost-benefit index is less than the second cost index, setting the corresponding third planning area as the third maintenance level, wherein the third planning area is maintained according to the maintenance time corresponding to the daily maintenance work order.

[0085] Specifically, the third level of maintenance is routine maintenance. Areas that have not yet shown obvious inefficiency but still need to be maintained in normal operation are classified as routine maintenance. This type of maintenance usually has a longer cycle and is used to ensure the safety and reliability of all facilities.

[0086] It should be understood that, especially in remote areas, maintenance costs often far exceed the potential savings in electricity bills. Furthermore, in cost-benefit assessment systems, remote areas often struggle to meet maintenance standards. Therefore, they are treated as routine maintenance areas to ensure safety while avoiding over-investment. For example, the optimal maintenance interval for a planned area in a remote region is 6 months. As time progresses, the maintenance time for this planned area will enter the first time threshold, at which point maintenance personnel will schedule maintenance to complete the task within the first time threshold (e.g., 5 days).

[0087] In some embodiments, the method further includes: after any of the planned areas has completed maintenance, generating the next maintenance time based on the optimal maintenance interval corresponding to the planned area, and writing it into the daily maintenance work order. This automatically plans the next maintenance time after maintenance is completed, ensuring that all planned areas receive appropriate attention according to their specific needs, while avoiding duplicate maintenance.

[0088] It should be understood that the maintenance tasks in the embodiments of the present invention include, but are not limited to, the following two categories: routine maintenance and post-fault maintenance. Routine maintenance is an automatic preventive measure aimed at reducing the probability of faults occurring, while post-fault maintenance is a passive response measure aimed at resolving faults that have already occurred. Both are indispensable parts of street light maintenance and help ensure the reliability and safety of the street light system.

[0089] Routine maintenance involves a lower workload and complexity, potentially including preventative measures such as cleaning and tightening of some streetlights, and checking batteries and circuits. Fault-related maintenance, on the other hand, is more complex, requiring fault diagnosis and potentially involving more complex repairs, such as replacing damaged components (e.g., batteries) and repairing circuits. Integrating routine maintenance into fault-related maintenance can be flexibly adjusted based on actual conditions. Routine maintenance does not necessarily mean repairing all streetlights in the area; streetlights operating normally can be omitted, while necessary repairs should be performed on those with certain defects, such as streetlights with a first damage rate higher than a third preset value but lower than the first preset value. In the long run, this strategy can lead to significant cost savings.

[0090] The third preset value is used to evaluate the maintainability of the energy storage module. The specific threshold can be flexibly set according to actual needs, such as 10%, and is not limited here. When the failure rate is higher than the third preset value but lower than the first preset value, the impact on the normal operation of the street light is negligible, the additional motor cost is extremely low, and the repair can prevent the failure rate from continuing to increase.

[0091] Furthermore, when the optimal maintenance interval for a planned area differs significantly from the actual maintenance interval, this data can be used to trigger batch maintenance. Batch maintenance is based on the production batches of streetlights in that planned area, and random checks are conducted on streetlight components from the same batch to determine if there are any product component defects, and corresponding preventative measures can be taken. For example, if the optimal maintenance interval for a planned area is six months, but in actual application, inefficient or faulty streetlights lead to frequent adjustments in maintenance priorities, resulting in an actual maintenance interval of two months, it is possible to identify serious defects in a certain batch of smart streetlight components, such as component quality or supplier reliability. Once supply chain issues are discovered, preventative measures can be taken, such as changing suppliers, improving component quality, or optimizing inventory management, further reducing long-term maintenance costs.

[0092] In some embodiments, the method further includes: when the first damage rate is higher than a second preset value, marking the corresponding first street light as a faulty street light, wherein the second preset value is higher than the first preset value; updating the fourth planning area where the faulty street light is located to a first maintenance priority, and adjusting the maintenance time of the fourth planning area to a first time threshold.

[0093] Specifically, when the first damage rate of a smart street light is detected to be higher than the second preset value, the smart street light is identified as a faulty street light with safety risks, and the maintenance priority and schedule are updated to provide a more timely maintenance plan.

[0094] In some embodiments, the present invention provides another centralized maintenance method for off-peak energy storage streetlights that ensures facility safety and utilization based on comprehensive cost optimization, further improving the practicality of off-peak energy storage streetlights. Specifically, it provides another control method for IoT-enabled five-primary-color full-spectrum multi-color-temperature LED off-peak energy storage smart streetlights. The smart streetlight includes a lighting module, a first power supply interface corresponding to the public power grid, an energy storage module, and a second power supply interface corresponding to the energy storage module. The first power supply interface is used to supply power to the lighting module and / or the energy storage module during a first time period, and the second power supply interface is used to supply power to the lighting module during a second time period.

[0095] Please see Figure 7 , Figure 7 This is a schematic flowchart illustrating another control method for IoT-enabled five-primary-color full-spectrum multi-color-temperature LED peak-shaving energy storage smart streetlights provided in this embodiment of the invention, as follows: Figure 7 As shown, the method includes steps S201 to S207. The method includes: S201 According to the first time interval, when the energy storage module is charged by the first power supply interface, the charging amount of the first power supply interface and the stored amount of the energy storage module are monitored; the first depreciation rate of the energy storage module is calculated based on the charging amount and the stored amount. S202 When the first loss rate of the energy storage module is detected to be higher than the first preset value, the corresponding first street light is marked as an inefficient street light; S203 determines the cost-benefit index for each planning area based on the additional electricity cost corresponding to the inefficient streetlights in each planning area and the maintenance operation cost of the planning area; S204 Obtain a daily maintenance work order, which is used to record the maintenance time for each planned area; determine the maintenance priority among several planned areas based on the cost-benefit index of each planned area, and adjust the maintenance time of each planned area based on the maintenance priority to obtain the target maintenance work order. S205 Repairs inefficient streetlights in several of the planned areas according to the target maintenance work order; When it is determined in step S202 that the first depreciation rate is higher than the first preset value, the method further includes the following steps: S206 updating the first time interval corresponding to the inefficient street light to a second time interval, wherein the second time interval is less than the first time interval; and based on the second time interval, calculating the second depreciation rate of the energy storage module when the energy storage module is charged at the second power supply interface; updating the marking of the first street light according to the second depreciation rate; and S207 updating and statistically analyzing the inefficient street lights in each planning area.

[0096] Specifically, by monitoring the damage rate of energy storage modules to assess battery performance, fault risks can be identified in advance, reducing the need for sudden failures and large-scale street light replacements, thus lowering long-term maintenance costs. The economic impact is quantified by comprehensively considering additional electricity prices and maintenance operation costs to optimize resource allocation and maintenance schedules. A three-tiered maintenance system is established, and street lights are maintained centrally by region, ensuring efficient and economical maintenance work and achieving cost-effective planned maintenance. For details, please refer to the descriptions in the foregoing embodiments, which will not be repeated here.

[0097] Based on this, a multi-level battery performance monitoring mechanism is proposed to achieve efficient, economical, and safe operation of the street light system. Specifically, the first time interval is used for periodic monitoring under normal conditions. Normal street lights are monitored at appropriate intervals to ensure normal equipment operation, while saving resources and reducing unnecessary data processing burden. The second time interval is used for periodic monitoring of inefficient street lights. For inefficient street lights with degraded battery performance, the monitoring interval is adjusted to a shorter second time interval, allowing for more frequent monitoring of the inefficient street light's status and ensuring its safe operation during delayed maintenance.

[0098] In some embodiments, when it is determined in step S202 that the first depreciation rate is higher than a first preset value, the method further includes: acquiring at least two second streetlights within the planning area where the first streetlight is located; comparing the depreciation rate difference between the first depreciation rate of the first streetlight and the first depreciation rate of the second streetlight; if the depreciation rate difference is greater than a preset difference, updating the second time interval to a third time interval, wherein the third time interval is less than the second time interval; calculating the third depreciation rate of the energy storage module when the energy storage module is charged by the second power supply interface based on the third time interval; updating the label of the first streetlight according to the third depreciation rate; and updating the statistics of inefficient streetlights in each planning area.

[0099] The first smart street light is one whose breakage rate needs to be assessed for abnormalities, while the second smart street light is used to verify and compare the breakage rate of the first smart street light. The second street light and the first street light are geographically close, installed at similar times and with similar models, and have similar workloads; their high correlation makes their breakage rates comparable. Furthermore, since most street lights are installed in the same batch, the first street light often has multiple associated second street lights; random sampling can be used to select at least two second street lights.

[0100] The third time interval is used for high-frequency monitoring of batteries with abnormal risks.

[0101] The preset difference is flexibly determined based on the basic usage data of the streetlights. For example, the preset difference can be different for streetlights of different models, power, and working environments, in order to improve the accuracy of anomaly detection.

[0102] Specifically, when an abnormal failure rate of an inefficient street light is confirmed through comparison with the associated second street light, the second time interval is updated to a shorter third time interval to promptly capture any signs of deterioration, further improving the sensitivity of maintenance priority adjustment and thus providing adaptability to maintenance work orders.

[0103] In some embodiments, the maintenance priority includes a first maintenance level; step S204 includes: when the cost-benefit index is less than a first cost index, setting the corresponding first planning area as the first maintenance level, and adjusting the maintenance time of the first planning area to a first time threshold. For details, please refer to the descriptions in the foregoing embodiments, which will not be repeated here.

[0104] In some embodiments, the maintenance priority further includes a second maintenance level, wherein the planning area of ​​the first maintenance level is prioritized for maintenance over the planning area of ​​the second maintenance level; step S204 includes: when the cost-benefit index is greater than a first cost index and less than a second cost index, setting the corresponding second planning area as the second maintenance level, and adjusting the maintenance time of the second planning area to a second time threshold; wherein the first time threshold is earlier than the second time threshold. For details, please refer to the description in the foregoing embodiments, which will not be repeated here.

[0105] In some embodiments, the method further includes: when the second damage rate is higher than a second preset value, and / or when the third damage rate is higher than the second preset value, marking the corresponding first street light as a faulty street light, wherein the second preset value is higher than the first preset value; updating the fourth planning area where the faulty street light is located to a first maintenance priority, and adjusting the maintenance time of the fourth planning area to a first time threshold.

[0106] The second preset value is used to assess the urgency of maintenance for the energy storage module. The specific threshold can be flexibly set according to actual needs, such as 50%-60%, and is not limited here. It should be understood that the setting of the second preset value needs to comprehensively consider the characteristics of various battery types. When the damage rate is lower than the second preset value, the battery safety risk is relatively small, and maintenance time can be allocated by region according to cost-effectiveness indicators. When the damage rate is higher than the second preset value, the battery safety risk is relatively large, and for safety reasons, a rapid response is required to ensure that faults are handled in a timely manner, reducing potential safety risks and operational interruptions.

[0107] Specifically, when the second damage rate exceeds the second preset value, the damage rate of the energy storage module is too high. Furthermore, when the third damage rate exceeds the second preset value, the energy storage module may exhibit an abnormal performance degradation trend, and this trend is developing rapidly. This situation suggests potential safety risks, such as battery overheating or short circuits, which could lead to street light malfunctions and even greater safety hazards. Therefore, priority should be given to inspecting the planned area where the faulty street light is located, thereby updating the maintenance work order and improving its adaptability and accuracy.

[0108] In some embodiments, the method further includes: when the second loss rate is continuously lower than a first preset value, and / or when the third loss rate is continuously lower than the first preset value, monitoring the actual lighting time powered by the energy storage module; if the actual lighting time is greater than or equal to a preset qualified time, marking the corresponding first street light as a normal street light.

[0109] Specifically, when the damage rate continues to be higher than the first preset value, the actual lighting time is monitored. If the duration is qualified, it is considered that although the energy storage module has a certain damage rate, it can still meet the basic lighting needs. Alternatively, if the damage rate monitoring is abnormal for the first time, the street light is replaced with a normal street light, thereby updating the maintenance work order and further improving the adaptability and accuracy of the maintenance work order.

[0110] In some embodiments, the method further includes: calculating the actual paving density of each planning area based on the number of inefficient streetlights in the planning area and the area of ​​the planning area; when the actual paving density of each planning area is less than a preset density value, updating the corresponding fifth planning area to the first maintenance level, and adjusting the maintenance time of the fifth planning area to a first time threshold.

[0111] Specifically, the number of normal streetlights is calculated by counting the number of inefficient streetlights, and the actual paving density of the planned area is calculated by combining the area of ​​the planned area. This identifies the fifth planning areas where streetlights are sparsely distributed and have low utilization rates, thereby increasing the maintenance priority of these areas, advancing the maintenance time of these areas, and optimizing the resource allocation of these areas to avoid resource waste.

[0112] In some embodiments, the method further includes: after maintenance is completed in any of the planned areas, generating the next maintenance time based on the optimal maintenance interval corresponding to the planned area, and writing it into the daily maintenance work order. For details, please refer to the descriptions in the foregoing embodiments, which will not be repeated here.

[0113] It should be understood that streetlights within a general planning area are usually installed in the same batch. With a low overall number of inefficient streetlights, the likelihood of a faulty streetlight is low. On the other hand, since a streetlight is marked as inefficient when its first deterioration rate exceeds a first preset value, changes in cost-effectiveness indicators when the number of inefficient streetlights reaches a certain level will trigger fault-based maintenance. Even if the area is at the second maintenance level, there may be a short waiting period for maintenance, but the probability of the deterioration rate rising to the second preset value in the short term is low, meaning the likelihood of a faulty streetlight is low. Furthermore, routine maintenance is carried out concurrently with fault-based maintenance; this combined maintenance strategy also reduces the probability of faulty streetlights. Therefore, this not only reduces maintenance costs in the long term but also minimizes the probability of sudden streetlight failures, reducing potential safety risks and operational interruptions, while also reducing maintenance difficulty and costs.

[0114] Meanwhile, a maintenance strategy based on cost-benefit analysis and multi-dimensional adjustments is provided. This strategy dynamically adjusts maintenance priorities by considering factors such as battery safety risks, actual lighting needs, and installation density. This improves the efficiency and safety of streetlights, avoids unnecessary resource waste, enhances the adaptability of maintenance work orders to actual application scenarios, and thus improves the practicality of off-peak energy storage streetlights. Furthermore, the combination of this strategy with the multi-level battery performance monitoring mechanism and merged maintenance strategy in the embodiments of this invention reduces the likelihood of sudden adjustments, ensuring a smooth adjustment of maintenance work order schedules. The work orders pre-set time nodes for maintenance tasks, allowing staff to plan ahead and avoid task backlog. Even in emergencies where maintenance demands exceed plans or resource constraints, there is buffer time to respond, ensuring the efficient operation and cost-effectiveness of smart streetlights.

[0115] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A control method for IoT-based peak-shaving energy storage LED smart streetlights, characterized in that, The street light includes a lighting module, a first power supply interface corresponding to the public power grid, an energy storage module, and a second power supply interface corresponding to the energy storage module. The first power supply interface is used to supply power to the lighting module and / or the energy storage module during a first time period, and the second power supply interface is used to supply power to the lighting module during a second time period. The method includes: S201 According to the first time interval, when the energy storage module is charged by the first power supply interface, the charging amount of the first power supply interface and the stored amount of the energy storage module are monitored; the first depreciation rate of the energy storage module is calculated based on the charging amount and the stored amount. S202 When the first loss rate of the energy storage module is detected to be higher than the first preset value, the corresponding first street light is marked as an inefficient street light; S203 determines the cost-benefit index for each planning area based on the additional electricity cost corresponding to the inefficient streetlights in each planning area and the maintenance operation cost of the planning area; S204 Obtain a daily maintenance work order, which is used to record the maintenance time for each planned area; determine the maintenance priority among several planned areas based on the cost-benefit index of each planned area, and adjust the maintenance time of each planned area based on the maintenance priority to obtain the target maintenance work order. S205 Repairs inefficient streetlights in several planned areas according to the target maintenance work order; The method further includes: triggering batch maintenance based on the difference between the optimal maintenance interval and the actual maintenance interval in the planned area; the triggering of batch maintenance includes: sampling street light components from the same batch according to the production batch of the street lights in the corresponding planned area to determine whether there are product component defects.

2. The method according to claim 1, characterized in that, S204 includes: pre-dividing and determining several planning areas based on geographical location and the number of streetlights.

3. The method according to claim 1, characterized in that, The method further includes: Obtain basic usage data and historical maintenance data of streetlights; A cost optimization model is trained based on the aforementioned basic usage data and the aforementioned historical maintenance data. The cost optimization model is used to predict the optimal maintenance interval. Based on the cost optimization model, the optimal maintenance interval for each planning area is calculated according to the basic usage data and historical maintenance data of the streetlights installed in each planning area. The daily maintenance work order is generated based on the optimal maintenance interval for each planned area.

4. The method according to claim 1, characterized in that, The maintenance priority includes the third maintenance level; S204 includes: A mapping table between cost difference and cost-benefit indicators is pre-set, and the cost-benefit indicators are determined based on the threshold range of the cost difference. When the cost-benefit index is less than the second cost index, the corresponding third planning area is set as the third maintenance level, and the third planning area is maintained according to the maintenance time corresponding to the daily maintenance work order.

5. The method according to claim 1, characterized in that, The maintenance priority includes a first maintenance level; the method further includes: Calculate the actual paving density for each planning area based on the number of inefficient streetlights within the planning area and the area of ​​the planning area; When the actual paving density of each planned area is less than the preset density value, the corresponding fifth planned area is updated to the first maintenance level, and the maintenance time of the fifth planned area is adjusted to the first time threshold.

6. The method according to claim 1, characterized in that, When it is determined in step S202 that the first loss rate is higher than the first preset value, the step further includes: S206 updates the first time interval corresponding to the inefficient street light to a second time interval, the second time interval being shorter than the first time interval; and based on the second time interval, when the energy storage module is charged at the second power supply interface, calculates the second depreciation rate of the energy storage module; and updates the mark of the first street light according to the second depreciation rate. S207 updates statistics on the additional electricity costs of inefficient streetlights in each planning area.

7. The method according to claim 6, characterized in that, When it is determined in step S202 that the first loss rate is higher than the first preset value, the method further includes: Obtain at least two second streetlights within the planned area where the first streetlight is located; Compare the first damage rate of the first street light with the first damage rate of the second street light. If the damage rate difference is greater than a preset difference, update the second time interval to a third time interval, wherein the third time interval is less than the second time interval. Based on the third time interval, when the energy storage module is charged by the second power supply interface, the third depreciation rate of the energy storage module is calculated; and the marking of the first street light is updated according to the third depreciation rate. Update statistics on the additional electricity costs of inefficient streetlights in each planning area.

8. The method according to claim 6 or 7, characterized in that, The method further includes: When the second damage rate is higher than the second preset value, and / or when the third damage rate is higher than the second preset value, the corresponding first street light is marked as a faulty street light, wherein the second preset value is higher than the first preset value; The fourth planning area where the faulty street light is located is updated to the first maintenance priority, and the maintenance time of the fourth planning area is adjusted to the first time threshold.

9. A digital platform for IoT-based peak-shaving energy storage LED smart streetlights, characterized in that, The digital platform includes: several smart streetlights and a remote control center; wherein each smart streetlight includes a lighting module, a power storage module, a public power module, and an IoT controller; The lighting module is used to generate light based on electric current; The public power module is used to obtain power supply from the public power grid. The public power module also includes a first power supply interface corresponding to the public power grid. The first power supply interface is used to supply power to the lighting module and / or the energy storage module during a first time period. The energy storage module is used to acquire and store electrical energy through the first power supply interface in the first time period. The energy storage module includes a second power supply interface, which is used to supply power to the lighting module in the second time period. The IoT controller communicates with the remote control center to implement the control method for IoT peak-shaving energy storage LED smart streetlights as described in any one of claims 1 to 8.

10. The method according to claim 9, characterized in that, The IoT controller also includes an IoT communication module for enabling the controller to exchange data with a remote control center.

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