IoT five-primary-color full-spectrum multi-color temperature LED peak-shifting energy storage smart street light

Abstract

The present invention relates to an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp. The street lamp includes a first power supply interface of a public power grid for supplying power to a lighting module and / or a power storage module during a first time period, a second power supply interface of the power storage module for supplying power to the lighting module during a second time period, monitoring and calculating a first depreciation rate of the power storage module; marking street lamps whose first depreciation rate of the power storage module is higher than a first preset value as inefficient street lamps; obtaining daily maintenance worksheets, which are used to record the maintenance time for each planned area; determining a cost-effectiveness index for each planned area based on the additional electricity price cost and maintenance operation cost of the inefficient street lamps in each planned area; based on this, determining the maintenance priority between several planned areas to adjust the maintenance time of each planned area, obtaining a target maintenance worksheet for maintenance, and realizing centralized maintenance that takes into account both maintenance costs and electricity price costs, which is both efficient and economical.

Description

Technical Field

[0001] The present invention relates to the field of street lamp management, and in particular to an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp. Background Art

[0002] Street lights are key facilities installed on public roads to provide lighting 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 street lights also have multifunctional integrated features such as Wi-Fi hotspots, environmental monitoring, and charging stations, making them an important part of smart city infrastructure.

[0003] To improve the practicality of streetlights and reduce costs, introducing a solution that alternates between batteries and mains power is an innovative and effective strategy. For example, China's first integrated energy storage and charging smart streetlight demonstration project is now connected to the grid in Shuangliu District, Chengdu. These streetlights are primarily charged at night when electricity consumption is low, and then fed back into the grid during peak hours. This project, a joint government-enterprise collaboration on technology transfer, is located on Jinhe Road in Shuangliu District. It utilizes smart streetlights developed and produced by Huati Technology. Initially, four smart streetlight systems were piloted, each equipped with a 40 kWh energy storage battery and connected to the grid via the low-voltage side of a nearby utility transformer.

[0004] For example, the Chinese invention patent with authorization publication number CN103634977 B discloses an intelligent management system for energy-storage LED street lights, comprising 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, respectively. 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 the communication interface is communicatively connected to the communication device. The communication device is communicatively connected to a terminal control device. The lighting device is an LED street light. An energy storage module is provided to charge the energy storage device during low-power consumption and low-price periods. The energy storage device is discharged during high-power consumption and high-price periods, thereby supplementing the power grid and playing a role in peak load shaving and valley filling.

[0005] However, although this hybrid power supply mode brings significant economic benefits, it also increases the complexity and manpower consumption of maintenance and management, greatly reducing its practicality. Summary of the Invention

[0006] The main purpose of this invention is to provide an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light. The present invention specifically adopts the following technical solutions:

[0007] A first aspect of the present invention is to provide a control method for an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp. The street lamp includes a lighting module, a first power supply interface corresponding to a public power grid, a power storage module, and a second power supply interface corresponding to the power storage module. The first power supply interface is used to supply power to the lighting module and / or the power 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:

[0008] S101: When the first power supply interface charges the power storage module, monitor the amount of electricity charged into the first power supply interface and the amount of electricity stored in the power storage module; calculate a first depreciation rate of the power storage module based on the amount of electricity charged and the amount of electricity stored;

[0009] S102: when it is detected that the first depreciation rate of the power storage module is higher than a first preset value, marking the corresponding first street lamp as an inefficient street lamp;

[0010] S103 determines the cost-effectiveness index of each planning area according to the additional electricity price cost corresponding to the inefficient street lamps in each planning area and the maintenance cost of the planning area;

[0011] S104: Obtaining a daily maintenance work order, wherein the daily maintenance work order is used to record the maintenance time for each planning area; determining the maintenance priority among the plurality of planning areas according to the cost-effectiveness index of each planning area; adjusting the maintenance time of each planning area based on the maintenance priority, and obtaining a target maintenance work order;

[0012] S105: Repair several inefficient street lamps in the planned area according to the target repair work order.

[0013] In some embodiments, S103 includes: calculating the electricity consumption cost of each inefficient street lamp in the planning area according to the first depreciation rate of each inefficient street lamp according to the first depreciation rate; calculating the additional electricity price cost according to the electricity price standard of the planning area and the electricity consumption cost of each inefficient street lamp; calculating the cost difference between the additional electricity price cost and the maintenance operation cost, and determining the cost-effectiveness index of each planning area according to the cost difference.

[0014] In some embodiments, the maintenance priority includes a first maintenance level; S104 includes: when the cost-effectiveness index is greater than the first cost index, setting the corresponding first planning area to the first maintenance level, and adjusting the maintenance time of the first planning area to a first time threshold.

[0015] In some embodiments, the maintenance priority also includes a second maintenance level, and the planned area of ​​the first maintenance level is maintained in priority with the planned area of ​​the second maintenance level; S104 includes: when the cost-effectiveness index is less than the first cost index and greater than the second cost index, setting the corresponding second planning area to 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.

[0016] In some embodiments, the method further includes: obtaining basic usage data and historical maintenance data of street lamps, training a cost optimization model based on the basic usage data and the historical maintenance data, and the cost optimization model is used to predict the optimal maintenance interval; based on the cost optimization model, calculating the optimal maintenance interval for each planning area according to the basic usage data and historical maintenance data of the street lamps laid in each planning area; and generating the daily maintenance work order according to the optimal maintenance interval for each planning area.

[0017] In some embodiments, the maintenance priority includes a third maintenance level; S104 includes: when the cost-effectiveness index is less than the second cost index, setting the corresponding third planning area to a third maintenance level, and performing maintenance on the third planning area according to the maintenance time corresponding to the daily maintenance work order.

[0018] In some embodiments, the method further includes: after any of the planned areas has completed maintenance, generating the next maintenance time according to the optimal maintenance interval corresponding to the planned area, and writing the time into the daily maintenance work sheet.

[0019] In some embodiments, the method further includes: when the first depreciation 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 the first maintenance priority, and adjusting the maintenance time of the fourth planning area to the first time threshold.

[0020] 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 arranged on both sides of the central axis in 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, and the single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and any two of the primary-color light-emitting units of red, blue, and green are not adjacent.

[0021] The second aspect of the present invention is to provide an IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamp, the smart street lamp comprising: a lighting module, a power storage module, a public power module, and an IoT controller;

[0022] The lighting module is used to generate light based on electric current;

[0023] The public power module is used to obtain power supply from the public power grid, and the public power module also includes a first power supply interface corresponding to the public power grid, and the first power supply interface is used to supply power to the lighting module and / or the power storage module within a first time period;

[0024] The power storage module is used to obtain and store electric energy through the first power supply interface during a first period of time, and the power storage module includes a second power supply interface, and the second power supply interface is used to supply power to the lighting module during a second period of time;

[0025] The Internet of Things controller communicates with the remote control center to implement the control method of the Internet of Things five-primary color full-spectrum multi-color temperature LED peak-shifting energy storage smart street lamp provided by any embodiment of the present invention.

[0026] Beneficial technical effects:

[0027] The present invention provides a centralized maintenance method for off-peak energy storage street lamps that takes into account maintenance costs and electricity price costs, and specifically provides an Internet of Things five-primary color full-spectrum multi-color temperature LED off-peak energy storage smart street lamp and a control method thereof.

[0028] First, to achieve more scientific and reasonable streetlight maintenance planning, an assessment system based on the depreciation rate of the energy storage module is provided to determine the battery performance. By regularly monitoring and analyzing the depreciation of the energy storage module, batteries at risk of failure can be identified in advance, and preventive measures can be taken to extend their service life. This helps reduce the frequency of sudden failures and avoid the need for large-scale replacement due to battery aging, significantly reducing long-term maintenance costs.

[0029] Furthermore, street light maintenance can be centralized by region, taking into account the additional electricity costs caused by street lights with low-efficiency energy storage modules and the actual maintenance costs. The actual cost is the manpower and material costs required for maintenance, and the total additional electricity cost saved after maintenance is the expected benefit. By comparing the cost-effectiveness of these two parts, the economic impact of maintenance work in different regions can be quantified, and then resources can be reasonably allocated, the maintenance schedule can be optimized, and maintenance work can be ensured to be both efficient and economical.

[0030] At the same time, multi-level maintenance levels are set up based on cost-effectiveness to provide a clear framework to evaluate and compare the maintenance needs of different areas or projects, so as to reasonably arrange the maintenance work schedule so that the maintenance work can take into account the maintenance cost and electricity price cost, and be carried out in a planned and targeted manner.

[0031] The first level (priority maintenance) is for areas with low-cost and poor efficiency and urgent repair needs that require a quick response, reducing additional electricity costs and other potential losses caused by equipment failures and avoiding higher economic losses;

[0032] The second level (deferred maintenance) targets areas with high cost-effectiveness and poor performance that can be temporarily postponed. In these areas, maintenance at the current stage will not bring significant cost savings and may even lead to unnecessary expenses. Under the premise of not affecting overall operations, unnecessary maintenance activities can be postponed and supplementary power supply can be directly used from the public grid to ensure that maintenance resources are allocated to the first level areas first.

[0033] The third level (routine maintenance) is aimed at areas that have not yet shown obvious inefficiency but still need to maintain normal operation. While ensuring basic maintenance, especially for remote areas, the maintenance costs are often much higher than the possible electricity savings. They are specially treated as routine maintenance, ensuring safety while avoiding over-investment in remote areas or regions.

[0034] This effectively controls actual maintenance costs, improves the overall safety and reliability of public facilities, and promotes the development of smart cities. Furthermore, dynamically adjusting maintenance plans based on actual conditions allows for flexible adaptation to varying operational needs, further optimizing resource allocation and reducing unnecessary expenses. Furthermore, through peak-shifting energy storage, energy conservation and emission reduction can be further promoted, fostering sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the embodiments or the description of the prior art. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the various elements or parts are not necessarily drawn according to the actual scale. Obviously, the drawings described below are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without inventive work.

[0036] Figure 1 This is a schematic diagram of an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light and digital platform provided by an embodiment of the present invention;

[0037] Figure 2 This is a schematic flow chart of another IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light and digital platform provided by an embodiment of the present invention;

[0038] 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;

[0039] Figure 4 This is a schematic flow chart of a control method for an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp provided by an embodiment of the present invention;

[0040] Figure 5 This is a field operation diagram of street lamp maintenance provided by an embodiment of the present invention;

[0041] Figure 6 This is a field operation diagram for centralized maintenance of street lamps provided by an embodiment of the present invention;

[0042] Figure 7 This is a schematic flow chart of another control method for an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0044] Herein, suffixes such as "module," "component," or "unit" used to represent elements are only used to facilitate description of the present invention and have no specific meaning. Therefore, "module," "component," or "unit" may be used interchangeably.

[0045] As used herein, terms such as "upper," "lower," "inner," "outer," "front," "back," "one end," and "the other end" indicate positions or locations based on those shown in the accompanying drawings. These terms are intended solely to facilitate and simplify the description of the present invention and are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate 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.

[0046] As used herein, unless otherwise expressly specified or limited, the terms "installed," "provided with," and "connected" should be understood broadly. For example, "connected" may refer to a fixed connection, a detachable connection, or an integral connection; it may refer to a mechanical connection, a direct connection, an indirect connection via an intermediate medium, or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention on a case-by-case basis.

[0047] As used herein, "and / or" includes any and all combinations of one or more of the associated listed items.

[0048] Herein, "plurality" means two or more than two, ie, it includes two, three, four, five, etc.

[0049] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0050] See also Figures 1 to 3 , Figure 1 This is a schematic diagram of an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light and digital platform provided by an embodiment of the present invention; Figure 2 This is a schematic flow chart of another IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light and digital platform 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.

[0051] like Figure 1 As shown, an embodiment of the present invention provides an IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamp digital platform, the digital platform comprising: a plurality of IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamps 300 and a remote control center 400 connected in communication;

[0052] Each IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light 300 includes a lighting module 301, a power storage module 302, a public power module 303, and an IoT controller 304;

[0053] The lighting module 301 is used to generate light based on electric current;

[0054] The public power module 303 is used to obtain power from the public power grid. The public power module 303 also includes a first power supply interface corresponding to the public power grid, and the first power supply interface is used to supply power to the lighting module 301 and / or the power storage module 302 during a first time period;

[0055] The power storage module 302 is used to obtain and store electric energy through the first power supply interface during the first period. The power storage module 302 includes a second power supply interface, which is used to supply power to the lighting module 301 during the second period.

[0056] The Internet of Things controller 304 communicates with the remote control center 400 to implement the steps of the control method of the Internet of Things five-primary color full-spectrum multi-color temperature LED peak-shifting energy storage smart street lamp provided by any embodiment of the present invention.

[0057] Among them, the IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting 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-color (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 daylight.

[0058] The IoT controller 304 also includes an IoT communication module, which is a key component for enabling device networking and remote management, enabling the controller to exchange data with other devices and the remote control center 400. The specific type of network can be a wired network (such as Ethernet), a wireless network (such as Wi-Fi, 4G / 5G, LoRa, Zigbee, etc.), or a hybrid network.

[0059] For example, Figure 2 As shown, several connected IoT five-primary-color, full-spectrum, multi-color-temperature, peak-shifting, energy-storage LED smart street lights 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 an IoT five-primary-color, full-spectrum, multi-color-temperature, peak-shifting, energy-storage LED smart street light as provided in any embodiment of the present invention. Furthermore, several connected IoT five-primary-color, full-spectrum, multi-color-temperature, peak-shifting, energy-storage LED smart street lights 300 can also communicate directly with each other via the IoT controller 304.

[0060] For example, 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 arranged on both sides of the central axis in 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, and the single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and any two of the primary-color light-emitting units among red, blue and green are not adjacent.

[0061] Furthermore, each single-primary-color light-emitting unit is provided with a corresponding lens 3012; when the full-spectrum light source is connected to a power source, the light emitted by the single-primary-color light-emitting unit is incident from the incident surface of the lens 3012, is transmitted through the lens 3012, and then is emitted from the exit surface of the lens. The light is mixed with the light emitted by other single-primary-color light-emitting units after being emitted from the exit surface of the corresponding lens 3012 in a specific area, thereby obtaining a full-spectrum white light with a light intensity on both sides greater than the central light intensity and retaining an 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 by the corresponding adjustment circuit, so that the current value corresponding to each primary-color light-emitting branch can be adjusted according to different road sections to adjust the color temperature of the full-spectrum multi-color temperature light source, thereby adapting to the different color temperature requirements of different road sections, or adjusting the brightness of the full-spectrum multi-color temperature light source to adapt to the different brightness requirements of different road sections.

[0062] The power storage module 302, also known as the energy storage module, is a device used to store electrical energy and release it when needed, balancing grid load and achieving peak-shifting electricity consumption. The power storage module 302 may include a battery pack, a battery management system, a power converter, and a communication interface. Battery types 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 streetlight's application requirements, such as energy density, power output, cycle life, and cost.

[0063] In some embodiments, the power storage module is not only used to supply power to the lighting module, but also to supply power to other modules inside the smart street lamp that require power drive, so that the normal operation of the smart street lamp in the second time period depends entirely on the power storage module without the need to use the mains power provided by the public power grid.

[0064] By adding energy storage modules to streetlights, off-peak energy storage can be achieved. Specifically, the modules are charged at night when electricity prices are low and / or the power supply is stable. During daytime hours when electricity prices are higher and demand is peak, the stored energy is used to power the streetlights. This reduces pressure on the grid and electricity costs, providing a stable power supply for the streetlights. This can significantly reduce operating costs, especially in cities that implement time-of-use electricity pricing policies. Furthermore, batteries can serve as a backup power source, ensuring uninterrupted street lighting during emergencies such as power outages, thereby improving public safety.

[0065] For example, Figure 1 As shown, the smart street lamp 300 may further include a driving module 305 , which has a power conversion function to realize the switching of the power supply interface of the lighting module 301 in the first period and the second period, and provide a stable current for the lighting module 301 .

[0066] Exemplarily, the lighting module 301 includes a five-primary-color full-spectrum multi-color temperature LED; the public power module 303 includes a driving power supply for converting the mains power (AC power) provided by the public power grid into DC power suitable for LED operation and ensuring the stability of the output voltage or current.

[0067] like Figure 1 As shown, during the first time period, the mains power supplied by the public power grid is obtained through the driving power supply of the public power module 303. On the one hand, power is supplied to the lighting module 301 through the Internet of Things controller 304 based on the first power supply interface. On the other hand, power is supplied to the power storage module 302 through the Internet of Things controller 304 based on the first power supply interface to complete the energy storage of the power storage module 302. In the second time period, the power storage module 302 supplies power to the lighting module 301 through the driving module 305 based on the second power supply interface.

[0068] In order to further improve the economic benefits and practicality brought by the hybrid power supply mode, the embodiment of the present invention proposes a centralized maintenance method for off-peak energy storage street lamps that takes into account maintenance labor costs and electricity price costs, and specifically provides an IoT five-primary color full-spectrum multi-color temperature LED off-peak energy storage smart street lamp and its control method.

[0069] The smart street light includes a lighting module, a first power supply interface corresponding to the public power grid, a power storage module, and a second power supply interface corresponding to the power storage module. The first power supply interface is used to supply power to the lighting module and / or the power storage module during a first period of time, and the second power supply interface is used to supply power to the lighting module during a second period of time. Figure 4 , Figure 4 This is a schematic flow chart of a control method for an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp provided by an embodiment of the present invention. Figure 4 As shown, the method includes steps S101 to S105.

[0070] S101 monitors the amount of electricity charged into the first power supply interface and the amount of electricity stored in the power storage module when the first power supply interface charges the power storage module; and calculates a first depreciation rate of the power storage module based on the amount of electricity charged and the amount of electricity stored.

[0071] The batteries in a storage module gradually degrade during use. Battery aging or degradation is an inevitable natural process. Calculating the ratio of the battery's current capacity to its standard capacity (i.e., its maximum capacity when new) can be used to identify storage modules with degraded performance and understand their health. For example, using a data acquisition card and LabVIEW software platform to monitor the battery's charge and discharge process in real time can determine the storage module's depreciation rate.

[0072] S102: When it is detected that the first depreciation rate of the power storage module is higher than a first preset value, the corresponding first street lamp is marked as an inefficient street lamp.

[0073] The first preset value is used to assess the necessity of maintenance for the energy storage module. The specific threshold can be flexibly set based on actual needs and is not limited here. It should be understood that the setting of the first preset value requires comprehensive consideration of the characteristics of various battery types. When the depreciation rate is lower than the first preset value, the normal operation of the street lamp is minimally affected. A certain degree of capacity loss can be tolerated without immediately triggering maintenance, resulting in lower additional motor costs, thereby avoiding unnecessary maintenance costs and waste of resources.

[0074] For example, when the battery capacity drops to 70%-60% of the original capacity, the battery's energy storage capacity is significantly reduced, the efficiency of the street lamp decreases, and the battery may also pose a potential safety risk. Therefore, the first preset value is set to 30%-40%. When the depreciation rate is higher than the first preset value, the maintenance signal of the power storage module can be triggered.

[0075] S103 determines a cost-effectiveness index for each planning area according to the additional electricity price cost corresponding to the inefficient street lamps in each planning area and the maintenance cost of the planning area.

[0076] Planning areas are pre-determined based on geographic location and the number of streetlights. For example, geographical divisions are made based on the distribution of smart streetlights, while also considering the number and density of streetlights within each area to ensure a roughly balanced workload within each area, forming several relatively independent planning areas.

[0077] The additional electricity cost refers to the additional utility power required for streetlights due to a decrease in the performance of the energy storage module (increased depreciation rate). For example, a normally performing energy storage module can power a smart streetlight for five hours. However, due to a decrease in the module's capacity, it can only power the smart streetlight for four hours. In this case, an additional hour of utility power is required to power the smart streetlight, and the resulting electricity cost is the additional electricity cost. Another example is to calculate the difference in electricity costs between normal and inefficient streetlights in the same area as the additional electricity cost. Another example is to count the number of inefficient streetlights and estimate the additional electricity cost based on the first depreciation rate and the number of inefficient streetlights.

[0078] Among them, the maintenance operation cost is the labor cost, consumables cost, equipment cost, operating cost, etc. required for maintenance. It may also include the transportation costs (such as vehicle rental, fuel costs) and accommodation costs incurred by sending teams to different locations for maintenance, etc. The maintenance operation costs corresponding to different planning areas may be different. For example, the maintenance operation costs in remote areas are often much higher than those in other areas. The maintenance operation costs may also change over time. For example, the maintenance operation costs in the same area in winter are higher than those in spring.

[0079] See also Figures 5 and 6 , Figure 5 This is a field operation diagram of street lamp maintenance provided by an embodiment of the present invention; Figure 6 This is a scene diagram of street lamp maintenance provided by an embodiment of the present invention. Figures 5 to 6 As shown, streetlight maintenance not only requires a significant amount of manpower for on-site assessment, fault diagnosis, and actual repair work, but also requires specialized equipment such as aerial platforms and cleaning equipment. Centralized maintenance can significantly reduce maintenance costs. These costs can be estimated using historical data, market conditions, industry standards, and planning area distances.

[0080] Cost-benefit indicators are used to measure the relationship between costs and benefits. Specifically, they can include cost savings, return on investment, and other metrics. For example, the actual cost of maintenance work can be considered, while the potential electricity savings after repairs can be considered as the expected benefit. This involves more complex financial models and more data, such as the lifespan of streetlights, maintenance frequency, and failure rates, which can influence the final cost-benefit analysis.

[0081] S104 obtains a daily maintenance work order, which is used to record the maintenance time for each planned area. Based on the cost-effectiveness indicators of each planned area, the maintenance priority among the planned areas is determined. The maintenance time of each planned area is adjusted based on the maintenance priority to obtain a target maintenance work order. The daily maintenance work order includes, but is not limited to, the expected maintenance schedule, the number of the street lamp to be repaired, the maintenance personnel, and the resources required for the maintenance work (such as tools, spare parts, and manpower).

[0082] S105 performs maintenance on several inefficient street lamps in the planned area according to the target maintenance work order, wherein the maintenance includes but is not limited to replacing or repairing damaged parts, software updating, parameter adjustment and other operations to restore the street lamps to optimal working condition.

[0083] Specifically, when the energy storage module is charged using mains power, the amount of power charged to the first power supply interface and the actual amount of power stored in the energy storage module are monitored in real time, and a first degradation rate of the energy storage module is calculated. By regularly monitoring and analyzing the degradation of the energy storage module, the health of the module can be understood, performance degradation trends can be identified, and preventive measures can be taken to extend its service life. This helps reduce the frequency of sudden failures and avoid the need for large-scale replacement due to battery aging, significantly reducing long-term maintenance costs.

[0084] When it is detected that the first depreciation rate of the energy storage module is higher than the first preset value, the corresponding street lamp will be marked as an inefficient street lamp to quickly locate the street lamps that need to be dealt with later. The number of street lamps marked as inefficient in each planning area is counted, and the additional electricity price cost caused by the inefficient street lamps and the corresponding maintenance cost of the planning area are calculated. Then, the cost-effectiveness index of each planning area is determined to quantify the regional economic impact caused by the decline in battery performance in different areas. Based on the cost-effectiveness index of each planning area, the maintenance priority between multiple planning areas is re-evaluated and determined, and areas with higher urgency will be given higher priority. Based on the new priority order, the maintenance schedule of each planning area is adjusted to generate an optimized target maintenance work order.

[0085] Therefore, taking into account maintenance costs and electricity price costs, on the basis of maximizing cost-effectiveness, the maintenance schedule is optimized to ensure the best utilization of resources, avoid unnecessary duplication of work or delays in key tasks, and according to the finalized target maintenance work order, street lamp maintenance is concentrated by area, further reducing maintenance costs and ensuring that maintenance work is both efficient and economical.

[0086] In some embodiments, the method further includes: obtaining basic usage data and historical maintenance data of street lamps, training a cost optimization model based on the basic usage data and the historical maintenance data, and the cost optimization model is used to predict the optimal maintenance interval; based on the cost optimization model, calculating the optimal maintenance interval for each planning area according to the basic usage data and historical maintenance data of the street lamps laid in each planning area; and generating the daily maintenance work order according to the optimal maintenance interval for each planning area.

[0087] Among them, basic usage data refers to data related to the performance of smart street lights, including basic information of street lights (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.).

[0088] Among them, historical maintenance data refers to data related to the maintenance of several or several types of smart street lights, including all past maintenance records, such as the specific time of each maintenance, the reason for the maintenance, the measures taken and the results, etc.

[0089] Using these two types of data as input, a cost optimization model is trained using a machine learning algorithm. The model considers multiple factors, such as the impact of maintenance frequency on lamp life, differences in labor costs for maintenance at different time periods, and service interruption losses caused by failures. This reduces maintenance costs while ensuring the reliability of smart streetlights. Furthermore, the trained cost optimization model can be used to predict optimal maintenance intervals for each planned area. By inputting each area's specific basic usage data and historical maintenance data into the model, the model can identify the most appropriate maintenance cycle recommendations, which in turn generates detailed daily maintenance worksheets.

[0090] It's important to understand that dynamically adjusting maintenance strategies based on actual usage, rather than relying on fixed or empirically determined intervals, can not only reduce unnecessary maintenance activities and lower operating costs, but also improve system reliability and user satisfaction. Furthermore, as more data accumulates, the model will continue to improve, becoming more accurate and effective.

[0091] In some embodiments, the cost-effectiveness index of each planning area is determined by quantifying the power consumption and additional electricity price cost of inefficient street lamps and comparing them with the maintenance operation cost. S103 includes: calculating the power consumption cost of each inefficient street lamp in the planning area according to the first depreciation rate; calculating the additional electricity price cost according to the electricity price standard of the planning area and the power consumption cost of each inefficient street lamp; calculating the cost difference between the additional electricity price cost and the maintenance operation cost, and determining the cost-effectiveness index of each planning area according to the cost difference.

[0092] Based on the first depreciation rate of each inefficient street lamp in the planned area, the efficiency loss of these street lamps during normal operation is evaluated. For example, the shortened battery-powered lighting time corresponds to the additional lighting time required using mains electricity. The actual power consumption of each inefficient street lamp is calculated using the first depreciation rate. For example, the charged power and stored power corresponding to a normal performance power storage module are almost equal (or the loss value is a small, negligible fixed value). When the depreciation rate increases, the charged power is greater than the stored power, and the difference between the two powers corresponds to the additional electricity price cost.

[0093] Specifically, the additional electricity price cost can be calculated based on the electricity price standard of the planning area (such as time-of-use electricity price, peak-valley electricity price, etc.) and the electricity consumption cost of each inefficient street lamp. This part of the cost is the additional electricity expense caused by the inefficiency of the street lamp.

[0094] Furthermore, the additional electricity cost is compared with the maintenance cost to determine the cost differential. For example, the net cost after deducting the maintenance cost from the additional electricity cost, or the cost savings after deducting the additional electricity cost from the maintenance cost. If the additional electricity cost is higher than the maintenance cost, maintenance may be a more economical option; otherwise, maintaining the status quo may be more cost-effective. For another example, the ratio of the additional electricity cost to the maintenance cost can be calculated. If the ratio is less than 1, maintenance may be a more economical option; if the ratio is greater than 1, maintaining the status quo may be more cost-effective.

[0095] A cost-effectiveness index is determined for each planning area based on the cost difference. This is used to determine whether implementing maintenance in a particular area is economically beneficial. For example, a mapping table is pre-set between cost differences and cost-effectiveness indicators, and the cost-effectiveness index is determined based on the threshold range within which the cost difference falls. For example, when the cost difference is the net cost after deducting the maintenance operation cost from the additional electricity price, in the mapping table between cost differences and cost-effectiveness indicators, if the first-level cost-effectiveness is 500 or above, the second-level cost-effectiveness index is (500, 300), the third-level benefit index is (300, 1), and the fourth-level benefit index is less than 1, and the cost difference is 700 yuan, the corresponding cost-effectiveness index is the third-level indicator.

[0096] This optimized resource allocation ensures the effective use of funds and manpower, while also improving the overall operational efficiency of the city's lighting system. Furthermore, through continuous monitoring and adjustment, the accuracy of cost-benefit analysis can be further enhanced, making maintenance plans more scientific and reasonable. For example, if the cost-benefit indicator for a planned area shows positive results (i.e., the long-term savings after maintenance exceed the maintenance costs), then maintenance in that area can be prioritized. Conversely, if the cost-benefit indicator is unsatisfactory, maintenance can be postponed and the timing reassessed.

[0097] Furthermore, a multi-level maintenance grade is set up based on cost-effectiveness to provide a clear framework to evaluate and compare the maintenance needs of different areas or projects, so as to reasonably arrange the maintenance work schedule and make the maintenance work more planned and targeted.

[0098] In some embodiments, the maintenance priority includes a first maintenance level; S104 includes: when the cost-effectiveness index is greater than the first cost index, setting the corresponding first planning area to the first maintenance level, and adjusting the maintenance time of the first planning area to a first time threshold.

[0099] Specifically, the first maintenance level is priority maintenance. When the cost-benefit gap in 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.

[0100] In some embodiments, the maintenance priority also includes a second maintenance level, and the planned area of ​​the first maintenance level is maintained in priority with the planned area of ​​the second maintenance level; S104 includes: when the cost-effectiveness index is less than the first cost index and greater than the second cost index, setting the corresponding second planning area to 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.

[0101] Specifically, the second maintenance level is delayed maintenance. If the cost-benefit gap is small, maintenance at the current stage will not bring obvious cost savings and may even lead to unnecessary expenses. Therefore, the maintenance time should be appropriately postponed, and the areas with the smaller cost-benefit gap should be repaired first.

[0102] The first cost index is greater than the second cost index. Based on the cost perspective, the time urgency of maintenance tasks in each maintenance area is divided. The corresponding first cost index is used to identify planning areas with urgent maintenance tasks, while the second cost index is used to identify planning areas with relatively ample maintenance tasks. Based on the above example, the first cost index can be the minimum value of 100 corresponding to the first and second cost indicators, and the second cost index can be the minimum value of 1 for the third cost effectiveness.

[0103] Specifically, the first cost indicator is used to identify scenarios where the additional electricity price cost is greater than the maintenance cost, and the corresponding cost difference is large in absolute value. The second cost indicator is used to identify scenarios where the additional electricity price cost is greater than the maintenance cost, or where the additional electricity price cost is less than the maintenance cost, and the corresponding cost difference is small in absolute value. The specific values ​​of the first and second cost indicators can be flexibly set based on actual conditions.

[0104] Correspondingly, a first time threshold and a second time threshold are set. The specific thresholds can also be flexibly determined based on the maintenance equipment, maintenance manpower, first cost indicator, second cost indicator, 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 area must complete the maintenance within 20 days. For another example, if the second cost indicator is set low, the planned area is more easily identified as the second planning area, and the second time threshold can be set to 30 days.

[0105] In some embodiments, the maintenance priority includes a third maintenance level; S104 includes: when the cost-effectiveness index is less than the second cost index, setting the corresponding third planning area to a third maintenance level, and performing maintenance on the third planning area according to the maintenance time corresponding to the daily maintenance work order.

[0106] Specifically, the third maintenance level is routine maintenance. Areas that have not yet shown obvious inefficiency but still need to maintain normal operating conditions are classified as routine maintenance levels. This type of maintenance usually has a longer cycle and is used to ensure the safety and reliability of all facilities.

[0107] It should be understood that, particularly in remote areas, maintenance costs are often far higher than the potential electricity savings. Furthermore, in a cost-effectiveness-based assessment system, remote areas often struggle to meet maintenance standards. Therefore, routine maintenance is specifically addressed to ensure safety while avoiding overinvestment. For example, the optimal maintenance interval for a planned area in a remote area is six months. As time progresses, the maintenance time for this planned area will fall within the first time threshold, and maintenance personnel will schedule maintenance to complete the task within the first time threshold (e.g., five days).

[0108] In some embodiments, the method further includes: when any of the planned areas completes maintenance, generating the next maintenance time based on the optimal maintenance interval corresponding to the planned area and writing it into the daily maintenance worksheet. This automatically schedules the next maintenance time after the maintenance is completed, ensuring that all planned areas receive appropriate attention based on their specific needs while avoiding duplicate maintenance.

[0109] It should be understood that maintenance tasks in the embodiments of the present invention include, but are not limited to, the following two categories: routine maintenance and fault-based maintenance. Routine maintenance is an automated, preventative measure designed to reduce the probability of faults, while post-fault maintenance is a reactive response designed to resolve existing faults. Both are integral to streetlight maintenance and help ensure the reliability and safety of streetlight systems.

[0110] Routine maintenance has a lower workload and complexity, and may include preventive measures such as cleaning and tightening some streetlights, checking batteries and circuits, and so on. Fault-related maintenance requires a higher workload and complexity, requiring fault diagnosis and potentially involving more complex repairs such as replacing damaged components (such as batteries) and repairing circuits. Routine maintenance can be performed concurrently with fault-related maintenance, and can be flexibly adjusted based on actual conditions. Routine maintenance does not necessarily require repairs to all streetlights in the area. It can be omitted for fully functioning streetlights, while necessary maintenance can be performed on streetlights with certain defects, such as those with a first depreciation rate that is higher than the third preset value and lower than the first preset value. In the long run, this strategy can result in significant cost savings.

[0111] The third preset value is used to assess the maintainability of the energy storage module. The specific threshold can be flexibly set based on actual needs, for example, 10%, which is not limited here. When the depreciation rate is higher than the third preset value and lower than the first preset value, the impact on the normal operation of the street lamp is negligible, the additional motor cost is extremely low, and incidental maintenance can prevent further increases in the depreciation rate.

[0112] Furthermore, when the gap between the optimal maintenance interval and the actual maintenance interval in the planned area is too large, this data can be used as support to trigger batch maintenance. Batch maintenance is based on the production batch of street lights in the planned area, and street light components in the same batch are randomly inspected to determine whether there are any product component defects, and corresponding preventive measures are taken. For example, when the optimal maintenance interval in the planned area is six months, but in actual application, frequent adjustments to maintenance priorities due to inefficient or faulty street lights lead to an actual maintenance interval of two months, it can be identified that a batch of smart street light components may have serious defects, such as component quality and supplier reliability. Once supply chain problems are discovered, preventive measures can be taken, such as changing suppliers, improving component quality, or optimizing inventory management, to further reduce long-term maintenance costs.

[0113] In some embodiments, the method also includes: when the first depreciation 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 the first maintenance priority, and adjusting the maintenance time of the fourth planning area to the first time threshold.

[0114] Specifically, when it is monitored that the first depreciation rate of the smart street lamp is higher than the second preset value, the smart street lamp is identified as a faulty street lamp with safety risks, and the maintenance priority and schedule are updated to provide a more timely maintenance plan.

[0115] In some embodiments, the present invention provides another centralized maintenance method for off-peak energy storage streetlights that ensures facility safety and utilization while optimizing overall costs, further improving the practicality of off-peak energy storage streetlights. Specifically, it provides another control method for an IoT-connected, five-primary-color, full-spectrum, multi-color-temperature LED off-peak energy storage smart streetlight. The smart streetlight includes a lighting module, a first power supply interface corresponding to the public power grid, a power storage module, and a second power supply interface corresponding to the power storage module. The first power supply interface is used to supply power to the lighting module and / or the power 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.

[0116] See also Figure 7 , Figure 7 This is a schematic flow chart of another method for controlling an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street lamp provided by an embodiment of the present invention. Figure 7 As shown, the method includes steps S201 to S207. The method includes:

[0117] S201: monitoring the amount of electricity charged into the first power supply interface and the amount of electricity stored in the electricity storage module according to a first time interval when the first power supply interface charges the electricity storage module; and calculating a first depreciation rate of the electricity storage module according to the amount of electricity charged and the amount of electricity stored.

[0118] S202: when it is detected that the first depreciation rate of the power storage module is higher than a first preset value, marking the corresponding first street lamp as an inefficient street lamp;

[0119] S203 determines the cost-effectiveness index of each planning area according to the additional electricity price cost corresponding to the inefficient street lamps in each planning area and the maintenance cost of the planning area;

[0120] S204: Obtaining a daily maintenance work order, wherein the daily maintenance work order is used to record the maintenance time for each planning area; determining the maintenance priority among the plurality of planning areas according to the cost-effectiveness index of each planning area; adjusting the maintenance time of each planning area based on the maintenance priority, and obtaining a target maintenance work order;

[0121] S205: Repair several inefficient street lamps in the planned area according to the target repair work order;

[0122] 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 lamp to a second time interval, where the second time interval is smaller than the first time interval; and based on the second time interval, calculating the second depreciation rate of the power storage module when the second power supply interface charges the power storage module; updating the mark of the first street lamp according to the second depreciation rate; and S207 updating the statistics of the inefficient street lamps in each planning area.

[0123] Specifically, by monitoring the depreciation rate of the energy storage modules and assessing battery performance, failure risks can be identified in advance, reducing sudden failures and the need for large-scale streetlight replacements, thereby lowering long-term maintenance costs. The economic impact is quantified by comprehensively considering the additional electricity price and maintenance costs, optimizing resource allocation and maintenance schedules. A three-tier maintenance system is established, centralizing streetlight maintenance by region, ensuring efficient and economical maintenance and achieving cost-effective planned maintenance. For details, please refer to the description in the previous embodiment and will not be repeated here.

[0124] On this basis, a multi-level battery performance monitoring mechanism is proposed to achieve efficient, economical, and safe operation of the streetlight system. Specifically, the first time interval is used for regular monitoring under normal conditions. Normal streetlights are monitored at appropriate intervals to ensure normal operation of the equipment, while saving resources and reducing unnecessary data processing burdens. The second time interval is used for regular monitoring of inefficient streetlights. For inefficient streetlights with degraded battery performance, the monitoring interval is adjusted to a shorter second time interval, allowing more frequent monitoring of the status of the inefficient streetlights to ensure their safe operation during deferred maintenance periods.

[0125] In some embodiments, when it is determined in step S202 that the first depreciation rate is higher than the first preset value, it also includes: obtaining at least two second street lamps in the planned area where the first street lamp is located; comparing the depreciation rate difference between the first depreciation rate of the first street lamp and the first depreciation rate of the second street lamp, if the depreciation rate difference is greater than the preset difference, updating the second time interval to a third time interval, and the third time interval is less than the second time interval; based on the third time interval, when the second power supply interface charges the power storage module, calculating the third depreciation rate of the power storage module; updating the mark of the first street lamp according to the third depreciation rate; and updating the statistics of inefficient street lamps in each planning area.

[0126] The first streetlight is the smart streetlight whose depreciation rate needs to be assessed, while the second streetlight is used to verify and compare the depreciation rate of the first streetlight. The second streetlight is geographically close to the first streetlight, has a similar installation time and model, and has a similar workload. This high correlation between the two makes their depreciation rates comparable. Furthermore, since streetlights are mostly installed in batches, a first streetlight often has multiple associated second streetlights. Random sampling can be used to select at least two of these second streetlights.

[0127] The third time interval is used for focusing on high-frequency monitoring of batteries with abnormal risks.

[0128] The preset difference is flexibly determined based on the basic usage data of the street lamp. For example, the preset difference corresponding to street lamps of different models, different powers, and different working environments can be different to improve the accuracy of anomaly detection.

[0129] Specifically, when the depreciation rate of an inefficient street lamp is confirmed to be abnormal through the comparison of the associated second street lamp, the second time interval is updated to a shorter third time interval to capture any signs of deterioration in time, further improve the sensitivity of maintenance priority adjustment, and thus provide adaptability of the maintenance work order.

[0130] In some embodiments, the maintenance priority includes a first maintenance level; S204 includes: when the cost-effectiveness index is less than the first cost index, setting the corresponding first planned area to the first maintenance level, and adjusting the maintenance time of the first planned area to a first time threshold. For details, please refer to the description in the previous embodiment and will not be repeated here.

[0131] In some embodiments, the maintenance priority also includes a second maintenance level, and the planned area of ​​the first maintenance level is maintained in priority over the planned area of ​​the second maintenance level. S204 includes: when the cost-effectiveness index is greater than the first cost index and less than the second cost index, setting the corresponding second planned area to the second maintenance level and adjusting the maintenance time of the second planned 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 above embodiment and will not be repeated here.

[0132] In some embodiments, the method further includes: when the second depreciation rate is higher than a second preset value, and / or when the third depreciation 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 the first maintenance priority, and adjusting the maintenance time of the fourth planning area to the first time threshold.

[0133] The second preset value is used to assess the urgency of maintenance for the energy storage module. The specific threshold can be flexibly set based on actual needs, for example, 50%-60%, which is not limited here. It should be understood that the setting of the second preset value requires comprehensive consideration of the characteristics of various battery types. When the depreciation rate is lower than the second preset value, the battery safety risk is relatively low, allowing for the allocation of maintenance time by area based on cost-effectiveness indicators. When the depreciation rate is higher than the second preset value, the battery safety risk is relatively high, and for safety reasons, a rapid response is required to ensure that the fault is promptly addressed, thereby reducing potential safety risks and operational interruptions.

[0134] Specifically, when the second depreciation rate exceeds the second preset value, the depreciation rate of the power storage module is excessive. Furthermore, when the third depreciation rate exceeds the second preset value, the power storage module may be experiencing an abnormal and rapidly declining performance trend. This situation indicates potential safety risks, such as battery overheating or short circuits, which could cause streetlights to malfunction and even pose a greater safety hazard. Therefore, priority is given to repairing the planned area where the faulty streetlights are located, thereby updating the repair work order and improving its adaptability and accuracy.

[0135] In some embodiments, the method further includes: when the second depreciation rate is continuously lower than a first preset value, and / or when the third depreciation rate is continuously lower than a first preset value, monitoring the actual lighting time powered by the power storage module; if the actual lighting time is greater than or equal to the preset qualified time, marking the corresponding first street lamp as a normal street lamp.

[0136] Specifically, when the depreciation rate continues to be higher than the first preset value, by monitoring the actual lighting time, if the duration is qualified, it is considered that although the power storage module has a certain depreciation rate, it can still meet the basic lighting needs, or it is the first time that the depreciation rate monitoring is abnormal, the street lamp is updated to a normal street lamp, thereby updating the maintenance work order, further improving the adaptability and accuracy of the maintenance work order.

[0137] In some embodiments, the method further includes: calculating the actual paving density of each planning area based on the number of inefficient street lights 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 the first time threshold.

[0138] Specifically, the number of normal street lights is calculated by the number of inefficient street lights, and the actual paving density of the planned area is calculated in combination with the area of ​​the planned area, thereby identifying the fifth planning areas where street lights 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.

[0139] In some embodiments, the method further includes: when any of the planned areas completes maintenance, generating the next maintenance time according to the optimal maintenance interval corresponding to the planned area, and writing it into the daily maintenance work sheet. For details, please refer to the description in the above embodiments and will not be repeated here.

[0140] It should be understood that the streetlights in a general planning area are all installed in the same batch. When the overall number of inefficient streetlights is low, the likelihood of faulty streetlights is low. On the other hand, since streetlights with a first depreciation rate higher than a first preset value are marked as inefficient, changes in the cost-effectiveness index when the number of inefficient streetlights reaches a certain level will trigger a faulty maintenance. Even if the area is at the second maintenance level, there may be a short maintenance waiting period, but the probability of the depreciation rate rising to the second preset value in the short term is low, which means that the likelihood of faulty streetlights is low. Furthermore, the strategy of combining routine maintenance with faulty maintenance also reduces the likelihood of faulty streetlights. Therefore, not only does it reduce maintenance costs in the long run, but it also reduces the probability of sudden faulty streetlights to an extremely low probability, reducing potential safety risks and operational interruptions, while also reducing the difficulty and cost of maintenance.

[0141] At the same time, a maintenance strategy based on cost-benefit analysis and multi-dimensional adjustment is provided. It combines multi-dimensional factors such as battery safety risks, actual lighting needs, and paving density to dynamically adjust maintenance priorities, improve the efficiency and safety of street lamps, avoid unnecessary waste of resources, and enhance the adaptability of maintenance work orders to actual application scenarios, thereby improving the practicality of off-peak energy storage street lamps. At the same time, the combination of the multi-level battery performance monitoring mechanism and the combined maintenance strategy in the embodiment of the present invention reduces this sudden adjustment situation, so that the time arrangement of the maintenance work order is smoothly adjusted, and the maintenance work order sets time nodes for the maintenance tasks in advance. The staff can plan in advance to avoid task accumulation. Even in an emergency situation where the maintenance demand exceeds the plan or resource limitations, there is buffer time to respond, ensuring the efficient operation and cost-effectiveness of the smart street lamps.

[0142] 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 such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A control method for an IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light, characterized in that: The street lamp includes a lighting module, a first power supply interface corresponding to a public power grid, a power storage module, and a second power supply interface corresponding to the power storage module, wherein the first power supply interface is used to supply power to the lighting module and / or the power 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: S101: When the first power supply interface charges the power storage module, monitor the amount of electricity charged into the first power supply interface and the amount of electricity stored in the power storage module; calculate a first depreciation rate of the power storage module based on the amount of electricity charged and the amount of electricity stored; S102: when it is detected that the first depreciation rate of the power storage module is higher than a first preset value, marking the corresponding first street lamp as an inefficient street lamp; S103 determines the cost-effectiveness index of each planning area according to the additional electricity price cost corresponding to the inefficient street lamps in each planning area and the maintenance cost of the planning area; S104: Obtaining a daily maintenance work order, wherein the daily maintenance work order is used to record the maintenance time for each planning area; determining the maintenance priority among the plurality of planning areas according to the cost-effectiveness index of each planning area; adjusting the maintenance time of each planning area based on the maintenance priority, and obtaining a target maintenance work order; S105: Repair several inefficient street lamps in the planned area according to the target repair work order.

2. The method according to claim 1, characterized in that The S103 includes: Calculating the electricity consumption cost of each inefficient street lamp according to a first depreciation rate of each inefficient street lamp in the planning area; Calculating the additional electricity cost based on the electricity price standard of the planned area and the electricity consumption cost of each inefficient street lamp; The cost difference between the additional electricity price cost and the maintenance operation cost is calculated, and the cost-effectiveness index of each planning area is determined according to the cost difference.

3. The method according to claim 2, characterized in that The maintenance priority includes a first maintenance level; S104 includes: When the cost-effectiveness index is greater than the first cost index, the corresponding first planning area is set to a first maintenance level, and the maintenance time of the first planning area is adjusted to a first time threshold.

4. The method according to claim 3, characterized in that The maintenance priority also includes a second maintenance level, and the planned area of ​​the first maintenance level is maintained first over the planned area of ​​the second maintenance level; S104 includes: When the cost-effectiveness index is less than the first cost index and greater than the second cost index, the corresponding second planning area is set to the second maintenance level, and the maintenance time of the second planning area is adjusted to the second time threshold; wherein the first time threshold is earlier than the second time threshold.

5. The method according to claim 1, wherein The method further comprises: Obtaining basic usage data and historical maintenance data of street lamps, and 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 an 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 street lights laid in each planning area; The daily maintenance work list is generated according to the optimal maintenance interval of each planned area.

6. The method according to claim 1, characterized in that The maintenance priority includes the third maintenance level; S104 includes: When the cost-effectiveness index is less than the second cost index, the corresponding third planning area is set to a third maintenance level, and the third planning area is maintained according to the maintenance time corresponding to the daily maintenance work order.

7. The method according to claim 1, characterized in that The method further comprises: When the first depreciation rate is higher than a second preset value, marking the corresponding first street lamp as a faulty street lamp, wherein the second preset value is higher than the first preset value; The fourth planning area where the faulty street lamp 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.

8. The method according to any one of claims 1 to 7, characterized in that The method further comprises: When maintenance is completed in any of the planned areas, the next maintenance time is generated according to the optimal maintenance interval corresponding to the planned area and written into the daily maintenance work sheet.

9. The method according to claim 1, characterized in that 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 arranged on both sides of the central axis in 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, and the single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and any two of the primary-color light-emitting units of red, blue, and green are not adjacent.

10. An IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light, characterized by: The smart street light includes: a lighting module, a power storage module, a public power module, and an Internet of Things 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, and the public power module also includes a first power supply interface corresponding to the public power grid, and the first power supply interface is used to supply power to the lighting module and / or the power storage module within a first time period; The power storage module is used to obtain and store electric energy through the first power supply interface during a first period of time, and the power storage module includes a second power supply interface, and the second power supply interface is used to supply power to the lighting module during a second period of time; The Internet of Things controller communicates with a remote control center to implement the control method of the Internet of Things five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamp as described in any one of claims 1 to 9.

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