Internet-of-things five-primary-color full-spectrum multi-color-temperature LED peak shifting energy storage intelligent street lamp digital platform

Abstract

The invention relates to an internet-of-things five-primary-color full-spectrum multi-color-temperature LED peak shifting energy storage intelligent street lamp digital platform. The street lamp comprises a power supply interface of a public power grid for supplying power to a lighting module and / or a power storage module in a first time period, and a power supply interface of the power storage module for supplying power to the lighting module in a second time period; monitoring and calculating a first damage rate according to the first time interval; marking the street lamp with the first damage rate higher than a first preset value as a low-efficiency street lamp; and according to the extra electricity price cost and the maintenance operation cost of the low-efficiency street lamps, the cost-benefit index of each planning area is determined, the maintenance time is adjusted based on the maintenance priority between the determined planning areas, and a target maintenance work sheet is obtained for maintenance. When it is judged that the first damage rate is higher than a first preset value, updating to monitor and calculate a second damage rate according to a second time interval, and updating the mark of the first street lamp; and updating the cost-benefit index in each planning area. And the cost is reduced, and the facility safety and utilization rate are ensured.

Description

Technical Field

[0001] The present invention relates to the field of street lamp management, and in particular to a digital platform for IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy-storage smart street lamps. 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 multi-functional integration such as Wi-Fi hotspots, environmental monitoring and charging piles, becoming an important part of smart city infrastructure.

[0003] In order to improve the practicality of street lamps and reduce costs, the introduction of a solution that alternates between batteries and city electricity is an innovative and effective strategy. For example, the country's first "storage and charging" smart street lamp demonstration project is connected to the grid in Shuangliu District, Chengdu. The main feature of this street lamp is that it is charged during the low-power period at night and supplies electricity to the grid during peak hours. This project is a scientific and technological achievement transformation project jointly undertaken by the government and enterprises in Shuangliu District. It is located on Jinhe Road in Shuangliu District and is built using smart street lamps developed and produced by Huati Technology. In the initial stage of the project, a total of 4 sets of smart street lamp systems were put into operation on a pilot basis. Each lamp pole is equipped with a 40 kWh energy storage battery and connected to the grid through the low-voltage side of a nearby public transformer.

[0004] For another example, the Chinese invention patent with the authorization publication number CN103634977B discloses an energy storage LED street lamp intelligent management system, 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 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 the terminal control device; the lighting device is an LED street lamp. An energy storage module is provided, and the energy storage device is charged and stored when the electricity consumption is low and the electricity price is low; when the electricity consumption is high and the electricity price is high, the energy storage device is discharged; the supplement to the power grid is realized, and the peak is cut and the valley is filled.

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

[0006] The main purpose 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 digital platform.

[0007] The present invention specifically adopts the following technical solutions: The 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 comprises 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 in a first time period, and the second power supply interface is used to supply power to the lighting module in a second time period, and the method comprises: S201: monitoring the amount of electricity charged into the first power supply interface and the amount of electricity stored in the electricity storage module when the first power supply interface charges the electricity storage module according to a first time interval; and calculating a first depreciation rate of the electricity storage module according to the amount of electricity charged and the amount of electricity stored; 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; 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; S204: obtaining a daily maintenance work order, which is used to record the maintenance time for each planning area; determining the maintenance priority among several 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; S205: repairing a plurality of inefficient street lamps in the planned area according to the target repair 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 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 a second depreciation rate of the power storage module when the second power supply interface charges the power storage module; and updating the mark of the first street lamp according to the second depreciation rate; S207 updates and counts the additional electricity price costs of inefficient street lamps in each planning area.

[0008] 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 the additional electricity price cost of inefficient street lamps in each planned area.

[0009] 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 planning area to the first maintenance level, and adjusting the maintenance time of the first planning area to a first time threshold.

[0010] 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 to 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.

[0011] In some embodiments, the method also 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 planned area where the faulty street light is located to a first maintenance priority, and adjusting the maintenance time of the fourth planned area to a first time threshold.

[0012] 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.

[0013] In some embodiments, the method further includes: calculating the actual paving density of each planning area based on the number of inefficient street lamps 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.

[0014] In some embodiments, the method further includes: when maintenance of any of the planned areas is completed, generating the next maintenance time according to the optimal maintenance interval corresponding to the planned area, and writing it into the daily maintenance work order.

[0015] 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, the single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and any two of the red, blue, and green primary-color light-emitting units are not adjacent.

[0016] 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 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, and a remote control center; wherein each of the smart street lamps comprises 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 a 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 in a first time period, 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 in a second time period; The Internet of Things controller communicates with the remote control center 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 as described in any embodiment of the present invention.

[0017] Beneficial technical effects: The present invention provides a centralized maintenance method for off-peak energy storage lamps that ensures facility safety and utilization rate on the basis of reducing costs, and specifically provides a control method for an IoT five-primary-color, full-spectrum, multi-color-temperature LED off-peak energy storage smart street lamp.

[0018] First, the evaluation based on the calculation of the depreciation rate of the power storage module accurately and quickly identifies the degradation of battery performance and realizes the dynamic response of the maintenance work order. When the risk of failure is detected, the maintenance priority can be adjusted immediately, and the high-risk areas can be given priority to ensure that safety issues are resolved in a timely manner, reduce potential safety hazards, help reduce the frequency of sudden failures, and avoid the need for large-scale replacement due to battery aging, thereby significantly reducing long-term maintenance costs.

[0019] On this basis, a multi-level battery performance monitoring mechanism is provided, which adopts different monitoring frequencies according to the status of different street lamps 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.

[0020] Normal state: Regular monitoring is performed at a longer time interval (first time interval) to ensure the normal operation of the equipment while saving resources and reducing unnecessary data processing burden.

[0021] Inefficient state: shorten the monitoring time interval (second time interval) and monitor the inefficient street lights more frequently to ensure the safe operation of the inefficient street lights during the delayed maintenance period.

[0022] Abnormal state: Further shorten the monitoring time interval (third time interval). When the depreciation rate of an inefficient street lamp is abnormal, high-frequency monitoring is performed on batteries suspected of safety risks to improve the response speed to battery safety risks.

[0023] Furthermore, a maintenance strategy based on cost-benefit analysis and multi-dimensional adjustment is provided, which allows for flexible and targeted maintenance arrangements, improves the efficiency and response speed of maintenance work, and achieves optimal resource allocation. On the one hand, street lamp maintenance is centralized in each planned area according to the maintenance work order, and the efficiency of the power storage module, the additional electricity price cost, and the actual maintenance operation cost are comprehensively considered to optimize the maintenance time and resource allocation. Then, based on the comparison between the cost required for maintenance and the benefit after maintenance, resources are reasonably allocated to make maintenance work more economical and efficient. On the other hand, combined with multi-dimensional factors such as battery safety risks, actual lighting needs, and laying density, the maintenance priority is dynamically adjusted to improve the efficiency of street lamp use, avoid unnecessary waste of resources, and enhance the adaptability of maintenance work orders to actual application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is 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 paying creative labor.

[0025] Figure 1 It is a schematic diagram of an IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamp and a 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 lamp 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; 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 5 This is a field operation diagram of street lamp maintenance provided by an embodiment of the present invention; Figure 6 This is a field operation diagram of centralized maintenance of street lamps provided by an embodiment of the present invention; Figure 7 It 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. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 work are within the scope of protection of the present invention.

[0027] Herein, suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no specific meanings by themselves. Therefore, "module", "component" or "unit" can be used mixedly.

[0028] In this document, the terms "upper", "lower", "inner", "outer", "front", "back", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0029] In this document, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" 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, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0030] Herein "and / or" includes any and all combinations of one or more of the associated listed items.

[0031] Herein, "plurality" means two or more than two, ie, it includes two, three, four, five, etc.

[0032] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0033] See also Figures 1 to 3 , Figure 1 It is a schematic diagram of an IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamp and a 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 lamp 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.

[0034] like Figure 1As 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; 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; 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, and the first power supply interface is used to supply power to the lighting module 301 and / or the power storage module 302 within a first time period; The power storage module 302 is used to obtain and store electric energy through the first power supply interface in the first time period, and the power storage module 302 includes a second power supply interface, and the second power supply interface is used to supply power to the lighting module 301 in the second time period; 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.

[0035] 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 five-primary-color (white, green, yellow, blue, and red) LED chip combination, which can provide different color temperatures from warm white to cool white, and supports full-spectrum output and simulation of natural daylight.

[0036] The IoT controller 304 also includes an IoT communication module, which is a key component for realizing device networking and remote management, so that the controller can 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.

[0037] For example, Figure 2As shown, several IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamps 300 connected in communication can communicate with the remote control center 400 through the IoT controller 304. On this basis, the IoT controller 304 and the remote control center 400 work together to implement the steps of the control method of the IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamp provided in any embodiment of the present invention. In addition, several IoT five-primary-color full-spectrum multi-color-temperature LED peak-shifting energy storage smart street lamps 300 connected in communication can also communicate directly through the IoT controller 304.

[0038] 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, the single-primary-color light-emitting units are any primary-color light-emitting units of white, green, yellow, blue, and red, and any two primary-color light-emitting units of red, blue, and green are not adjacent.

[0039] 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, and is emitted from the exit surface of the lens after being transmitted through the lens 3012, and 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, so as to obtain 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.

[0040] The power storage module 302, also called the energy storage module, is a device for storing electric energy and releasing it when needed, and is used to balance the load of the power grid and achieve peak power consumption. The power storage module 302 may include a battery pack, a battery management system, a power converter, a communication interface, etc. The battery types of the battery pack include but are not limited to lithium-ion batteries, lead-acid batteries, sodium-sulfur batteries, etc. The appropriate type can be selected according to the application requirements of the street lamp, such as energy density, power output, cycle life and cost.

[0041] 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 AC power provided by the public power grid.

[0042] Peak-shifting energy storage can be achieved by adding power storage modules to street lamps. Specifically, the power storage modules are charged at night when electricity prices are low and / or the power supply is stable; and the stored energy is used to supply power during the day when electricity prices are high and electricity consumption is at peak times, thereby reducing the pressure on the power grid and electricity bills, and providing a stable power supply for street lamps. Especially in cities that implement time-of-use electricity pricing policies, operating costs can be significantly reduced. In addition, batteries can also be used as backup power sources to ensure uninterrupted road lighting in emergency situations such as power outages, thereby improving public safety.

[0043] 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 time period and the second time period, and provide a stable current for the lighting module 301 .

[0044] 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.

[0045] 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. During 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.

[0046] 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 Internet of Things five-primary color full-spectrum multi-color temperature LED off-peak energy storage smart street lamp and its control method.

[0047] The smart street lamp 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 : 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, such as Figure 4 As shown, the method includes steps S101 to S105.

[0048] 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; and calculate a first depreciation rate of the power storage module according to the amount of electricity charged and the amount of electricity stored.

[0049] Among them, the battery of the power storage module will gradually deteriorate during use. The aging or attenuation of the battery is an inevitable natural process. Correspondingly, the ratio of the current capacity of the battery to its standard capacity (that is, the maximum capacity of a new battery) can be calculated to identify the power storage module with degraded performance and understand the health of the power storage module. For example, the data acquisition card and LabVIEW software platform are used to monitor the charging and discharging process of the battery in real time to determine the depreciation rate of the power storage module.

[0050] 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.

[0051] Among them, the first preset value is used to evaluate the necessity of maintenance of the power 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 comprehensively consider the characteristics of various battery types. When the depreciation rate is lower than the first preset value, it has little impact on the normal operation of the street lamp. A certain degree of capacity loss is allowed without immediately triggering maintenance, resulting in lower additional motor costs, so as to avoid unnecessary maintenance costs and waste of resources.

[0052] 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.

[0053] 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 operation cost of the planning area.

[0054] The planning area is pre-determined based on the geographical location and the number of street lamps. For example, geographical division is carried out according to the distribution of smart street lamps, while considering the number and distribution density of street lamps in each area to ensure that the workload in each area is roughly balanced, forming several relatively independent planning areas.

[0055] Among them, the additional electricity price cost refers to the electricity fee corresponding to the additional use of city electricity by the street lamp due to the performance decline of the power storage module (increased depreciation rate). For example, the storage capacity of the power storage module with normal performance can supply the smart street lamp with 5 hours. Due to the low storage capacity of the power storage module, it can only supply the smart street lamp with 4 hours. At this time, an additional hour of city electricity is required to power the smart street lamp, and the corresponding electricity fee is the additional electricity price cost. For another example, the difference in electricity costs between normal street lamps and inefficient street lamps in the same area is calculated as the additional electricity price cost. For another example, the number of inefficient street lamps is counted, and the additional electricity price cost is estimated based on the first depreciation rate and the number of inefficient street lamps.

[0056] 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. 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.

[0057] See also Figure 5 to Figure 6 , Figure 5 This is a field operation diagram of street lamp maintenance provided by an embodiment of the present invention; Figure 6 1 is a diagram of the on-site operation of the street lamp maintenance provided by the embodiment of the present invention. Figures 5 to 6 As shown in the figure, the maintenance of street lamps not only requires a large amount of manpower for on-site evaluation, fault diagnosis and actual maintenance work, but also requires the use of special equipment such as aerial work vehicles and cleaning equipment. Therefore, centralized maintenance can greatly save maintenance work. These costs can be estimated through historical data, market conditions, industry standards, planning area distance and other information.

[0058] Among them, the cost-effectiveness index is an index used to measure the relationship between cost and benefit. The specific cost-effectiveness index can be the cost saving rate, return on investment, etc. For example, the cost of maintenance operation is taken as the actual cost, and the additional electricity price cost that may be saved after maintenance is taken as the expected benefit. At the same time, more complex financial models and more data are involved, such as the service life of street lamps, maintenance frequency, failure rate and other factors that may affect the final cost-effectiveness analysis results.

[0059] S104 obtains a daily maintenance work order, which is used to record the maintenance time for each planning area; determines the maintenance priority among several planning areas according to the cost-effectiveness index of each planning area, adjusts the maintenance time of each planning area based on the maintenance priority, and obtains a target maintenance work order. The daily maintenance work order includes but is not limited to the expected maintenance schedule, maintenance street lamp number, maintenance operator, and resources required for maintenance work (such as tools, spare parts, and manpower).

[0060] S105: Perform maintenance on a plurality of 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 the best working state.

[0061] Specifically, when the power storage module is charged with AC power, the amount of power charged to the first power supply interface and the actual amount of power stored in the power storage module are monitored in real time, and then the first depreciation rate of the power storage module is calculated. By regularly monitoring and analyzing the depreciation of the power storage module, the health of the power storage module can be understood, the trend of performance degradation can be identified, and preventive measures can be taken to extend its service life, which helps to reduce the frequency of sudden failures and avoid the need for large-scale replacement due to battery aging, thereby significantly reducing long-term maintenance costs.

[0062] When it is detected that the first depreciation rate of the power storage module is higher than the first preset value, the corresponding street lamp is marked as an inefficient street lamp to quickly locate the street lamp that needs to be dealt with later, and the street lamps marked as inefficient in each planning area are counted. The additional electricity price cost caused by the inefficient street lamps and the corresponding maintenance operation cost of the planning area are calculated, and then the cost-effectiveness index of each planning area is determined to quantify the economic impact of the region caused by the decline in battery performance in different areas. According to 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.

[0063] Therefore, taking into account the maintenance cost and electricity price cost, 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 carry out street lamp maintenance in a centralized manner by area according to the finalized target maintenance work order, further reducing maintenance costs and ensuring that the maintenance work is both efficient and economical.

[0064] In some embodiments, the method also 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 planned area according to the basic usage data and historical maintenance data of the street lamps laid in each planned area; and generating the daily maintenance work order according to the optimal maintenance interval for each planned area.

[0065] 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.).

[0066] 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.

[0067] Using the above two types of data as input, a cost optimization model is trained through a machine learning algorithm. The model will take into account multiple factors, such as the impact of maintenance frequency on lamp life, the difference in labor costs for maintenance in different time periods, and the loss of service interruption caused by failures, thereby reducing maintenance costs while ensuring the reliability of smart street lights. Furthermore, the trained cost optimization model can be used to predict the optimal maintenance interval for each planning area. The specific basic usage data and historical maintenance data of each area are input into the model to obtain the most appropriate maintenance cycle recommendation, thereby generating a detailed daily maintenance work order.

[0068] It should be understood that the maintenance strategy should be adjusted dynamically according to actual usage, rather than relying on fixed or empirically set time intervals. This can not only reduce unnecessary maintenance activities and reduce operating costs, but also improve system reliability and user satisfaction. In addition, as more data is accumulated, the model will continue to improve and become more accurate and effective.

[0069] 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 a 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 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.

[0070] According to the first depreciation rate of each inefficient street lamp in the planning area, the efficiency loss of these street lamps in normal operation is evaluated, for example, the shortened battery-powered lighting time corresponds to the additional lighting time required using AC power, and the actual power consumption of each inefficient street lamp is calculated using the first depreciation rate. For another example, a power storage module with normal performance corresponds to an almost equal charged power and stored power (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 corresponds to the additional electricity price cost.

[0071] 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 lamps.

[0072] Furthermore, the additional electricity price cost is compared with the maintenance operation cost to determine the cost difference. For example, the net cost after deducting the maintenance operation cost from the additional electricity price cost, or the cost saved after deducting the additional electricity price cost from the maintenance operation cost. If the additional electricity price cost is higher than the maintenance operation cost, it indicates that maintenance may be a more economical option; otherwise, it may be more cost-effective to maintain the status quo. For another example, the ratio between the additional electricity price cost and the maintenance operation cost is calculated. If the ratio is less than 1, it indicates that maintenance may be a more economical option; if the ratio is greater than 1, it may be more cost-effective to maintain the status quo.

[0073] A cost-effectiveness index is determined for each planning area based on the cost difference, which is used to determine whether it is economically beneficial to implement maintenance in a certain area. For example, a mapping table of cost difference and cost-effectiveness index is pre-set, and the cost-effectiveness index is determined according to the threshold range of the cost difference. For example, when the cost difference is the net cost after deducting the maintenance operation cost from the additional electricity price cost, in the mapping table of cost difference and cost-effectiveness index, the first-level cost-effectiveness is 500 and 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. When the cost difference is 700 yuan, the corresponding cost-effectiveness index is the third-level indicator.

[0074] Optimizing resource allocation in this way can also ensure the effective use of funds and manpower, while improving the overall operating efficiency of the urban lighting system. In addition, through continuous monitoring and adjustment, the accuracy of cost-benefit analysis can be further improved, making the maintenance plan more scientific and reasonable. For example, if the cost-benefit index of a certain planning area shows positive results (that is, the long-term savings after maintenance exceed the maintenance costs), then the maintenance of this area can be given priority; conversely, if the cost-benefit index is not ideal, the maintenance can be postponed and the timing of the maintenance can be re-evaluated.

[0075] 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.

[0076] 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.

[0077] Specifically, the first maintenance level is priority maintenance. When the cost-effectiveness difference of a certain planning area is large, it indicates that timely maintenance can reduce the overall cost, and maintenance work should be arranged as soon as possible to prevent potential problems from evolving into larger failures and causing higher economic losses.

[0078] 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 to 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 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.

[0079] Specifically, the second maintenance level is delayed maintenance. If the cost-effectiveness difference is small, maintenance at the current stage will not bring obvious cost savings and may even lead to unnecessary expenses. Therefore, the maintenance time is appropriately postponed, and the areas with the smaller cost-effectiveness difference are repaired first.

[0080] Among them, the first cost index is greater than the second cost index. The time urgency of maintenance in each maintenance area is divided from the perspective of cost. The corresponding first cost index is used to identify the planning area with urgent maintenance tasks, and the second cost index is used to identify the planning area 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-level cost benefit and the second-level cost index, and the second cost index can be the minimum value of 100 for the third-level cost benefit.

[0081] Specifically, the first cost index is used to identify the scenario where the additional electricity price cost is greater than the maintenance operation cost, and the absolute value of the corresponding cost difference is large, and the second cost index is used to identify the scenario where the additional electricity price cost is greater than the maintenance operation cost, or the additional electricity price 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 cost index and the second cost index can be flexibly set according to actual conditions.

[0082] Correspondingly, the first time threshold and the second time threshold are set, and the specific thresholds can also be flexibly determined according to the maintenance equipment situation, maintenance manpower situation, the first cost index, the second cost index, etc. For example, 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 needs to be repaired within 20 days. For another example, if the second cost index is set lower, the planning area is easier to be identified as the second planning area, and the second time threshold can be set to 30 days.

[0083] 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.

[0084] 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.

[0085] It should be understood that, especially for remote areas, the maintenance costs are often much higher than the electricity costs that may be saved, and in the cost-effectiveness-based evaluation system, remote areas often find it difficult to meet the maintenance standards, so they are specially treated as routine maintenance to ensure safety while avoiding over-investment. For example, the optimal maintenance interval for the planning area corresponding to the remote area is 6 months. As time goes by, the maintenance time of the planning area will enter the first time threshold, and the maintenance personnel will arrange the maintenance to complete the maintenance task within the first time threshold (such as 5 days).

[0086] 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 order. Thus, the next maintenance time is automatically planned after the maintenance is completed, ensuring that all planned areas can receive appropriate attention according to their specific needs, while avoiding repeated maintenance.

[0087] 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 fault maintenance. Routine maintenance is an automatic preventive measure aimed at reducing the probability of faults, while post-fault maintenance is a passive response measure aimed at solving faults that have already occurred. Both are an indispensable part of street lamp maintenance and help ensure the reliability and safety of the street lamp system.

[0088] Among them, the workload and complexity of routine maintenance are relatively low, and may include preventive measures such as cleaning, tightening, checking batteries and circuits of some street lamps. The workload and complexity of fault maintenance are relatively high, and fault diagnosis is required, which may involve more complex maintenance work, such as replacing damaged parts (such as batteries), repairing circuits, etc. Routine maintenance can be carried out during fault maintenance, and can be flexibly adjusted according to actual conditions. Routine maintenance does not mean that all street lamps in the area need to be repaired. It can be omitted for street lamps that are fully operating normally, and necessary maintenance can be carried out for street lamps with certain defects, such as street lamps with a first depreciation rate higher than the third preset value and lower than the first preset value. In the long run, this strategy can bring significant cost savings.

[0089] The third preset value is used to evaluate the maintainability of the power storage module. The specific threshold can be flexibly set according to actual needs, such as 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 can be ignored, and the additional motor cost caused is extremely low. In the meantime, repairing it can avoid further increase in the depreciation rate.

[0090] Furthermore, when the gap between the optimal maintenance interval and the actual maintenance interval in the planned area is too large, this can be used as data 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 sampled to determine whether there are product component defects and take corresponding preventive measures. For example, when the optimal maintenance interval in the planned area is half a year, and in actual applications, the maintenance priority is frequently adjusted due to inefficient or faulty street lights, resulting in an actual maintenance interval of 2 months, it can identify serious defects that may exist in a batch of components of smart street lights, such as component quality, supplier reliability, etc. Once supply chain problems are found, preventive measures can be taken, such as changing suppliers, improving component quality, or optimizing inventory management, to further reduce long-term maintenance costs.

[0091] 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 planned area where the faulty street light is located to a first maintenance priority, and adjusting the maintenance time of the fourth planned area to a first time threshold.

[0092] 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.

[0093] In some embodiments, the present invention provides another centralized maintenance method for peak-shifting energy storage street lamps that ensures facility safety and utilization rate on the basis of comprehensive cost optimization, further improves the practicality of peak-shifting energy storage street lamps, and specifically provides another control method for IoT five-primary-color full-spectrum multi-color temperature LED peak-shifting energy storage smart street lamps. Among them, the smart street lamp 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 in a first time period, and the second power supply interface is used to supply power to the lighting module in a second time period.

[0094] See also Figure 7 , Figure 7 : is a schematic flow chart of another control method of 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, such as Figure 7 As shown, the method includes steps S201 to S207. The method includes: S201: monitoring the amount of electricity charged into the first power supply interface and the amount of electricity stored in the electricity storage module when the first power supply interface charges the electricity storage module according to a first time interval; and calculating a first depreciation rate of the electricity storage module according to the amount of electricity charged and the amount of electricity stored; 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; 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; S204: obtaining a daily maintenance work order, which is used to record the maintenance time for each planning area; determining the maintenance priority among several 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; S205: repairing a plurality of inefficient street lamps in the planned area according to the target repair 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 lamp to a second time interval, wherein 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.

[0095] Specifically, by monitoring the depreciation rate of the power storage module to evaluate battery performance, the risk of failure is identified in advance, sudden failures and large-scale street lamp replacement needs are reduced, and long-term maintenance costs are reduced. The economic impact is quantified by comprehensively considering the additional electricity price and maintenance operation costs to optimize resource allocation and maintenance schedules, set three levels of maintenance levels, and centrally maintain street lamps by region to ensure efficient and economical maintenance work and achieve planned maintenance with reduced costs. For details, please refer to the description in the aforementioned embodiment, which will not be repeated here.

[0096] On this basis, 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 regular monitoring under normal conditions, and normal street lights are monitored at just the right interval to ensure the 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 street lights. For inefficient street lights with degraded battery performance, the monitoring time interval is adjusted to a shorter second time interval, and the status of the inefficient street lights is monitored more frequently to ensure the safe operation of the inefficient street lights during the delayed maintenance period.

[0097] 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 planned area.

[0098] Among them, the first street lamp is a smart street lamp that needs to be evaluated for abnormal depreciation rate, and the second street lamp is used to verify and compare whether the depreciation rate of the first street lamp is abnormal. The second street lamp is close to the first street lamp in geographical location, installation time and model, and workload. The high correlation between the two makes the depreciation rates of the two comparable. Furthermore, since most street lamps are installed in batches, there are often multiple associated second street lamps for the first street lamp, and at least two second street lamps can be selected from them by random sampling.

[0099] The third time interval is used for focusing on high-frequency monitoring of batteries with abnormal risks.

[0100] Among them, the preset difference is flexibly determined according to 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.

[0101] 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 thereby provide adaptability of the maintenance work order.

[0102] 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 planning area to the first maintenance level, and adjusting the maintenance time of the first planning area to the first time threshold. For details, please refer to the description in the above embodiment, which will not be repeated here.

[0103] 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; S204 includes: when the cost-effectiveness index is greater than the first cost index and less than the second cost index, the corresponding second planned area is set to the second maintenance level, and the maintenance time of the second planned area is adjusted to the second time threshold; wherein the first time threshold is earlier than the second time threshold. For details, please refer to the description in the aforementioned embodiment, which will not be repeated here.

[0104] In some embodiments, the method also 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 planned area where the faulty street light is located to a first maintenance priority, and adjusting the maintenance time of the fourth planned area to a first time threshold.

[0105] Among them, the second preset value is used to evaluate the maintenance urgency of the power storage module. The specific threshold can be flexibly set according to actual needs, such as 50%-60%, which 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 depreciation rate is lower than the second preset value, the safety risk of the battery is small, and it is allowed to allocate maintenance time by area according to cost-effectiveness indicators. When the depreciation rate is higher than the second preset value, the safety risk of the battery is large. For safety reasons, a quick response is required to ensure that the fault is handled in a timely manner to reduce potential safety risks and operational interruptions.

[0106] Specifically, when the second depreciation rate is higher than the second preset value, the depreciation rate of the power storage module is too high. In addition, when the third depreciation rate is higher than the second preset value, the power storage module may have an abnormal performance decline trend, and this trend develops rapidly. This situation implies potential safety risks, such as battery overheating, short circuit, etc., which may cause the street lamp to fail to illuminate, or even cause greater safety hazards. Therefore, the planned area where the faulty street lamp is located is repaired first, thereby updating the maintenance work order and improving the adaptability and accuracy of the maintenance work order.

[0107] 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.

[0108] 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 the first 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.

[0109] In some embodiments, the method further includes: calculating the actual paving density of each planning area based on the number of inefficient street lamps 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.

[0110] Specifically, the number of normal street lamps is calculated by the number of inefficient street lamps, 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 lamps are sparsely distributed and have low utilization rates, thereby increasing the maintenance priority of these areas, advancing the maintenance time of these areas, and further optimizing the resource allocation of these areas to avoid resource waste.

[0111] In some embodiments, the method further comprises: 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, which will not be repeated here.

[0112] It should be understood that the streetlights in a general planning area are installed in the same batch. When the number of inefficient streetlights is low, the possibility of faulty streetlights is low. On the other hand, since the first depreciation rate is higher than the first preset value, it is marked as an inefficient streetlight. When the number of inefficient streetlights reaches a certain number, the change in the cost-effectiveness index 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 possibility of the depreciation rate rising to the second preset value in the short term is low, that is, the possibility of faulty streetlights is low. Furthermore, routine maintenance is carried out during the faulty maintenance. This combined maintenance strategy also reduces the possibility of faulty streetlights. Therefore, not only does it reduce maintenance costs in the long run, but it also reduces the probability of sudden failures of streetlights to an extremely low probability, reducing potential safety risks and operational interruptions, while reducing the difficulty and cost of maintenance.

[0113] At the same time, a maintenance strategy based on cost-benefit analysis and multi-dimensional adjustment is provided, which combines multi-dimensional factors such as battery safety risks, actual lighting needs, and laying density to dynamically adjust the maintenance priority, 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, so that the staff can plan in advance to avoid task accumulation. Even in an emergency situation where the maintenance demand exceeds the plan or resource limit, there is buffer time to deal with it, ensuring the efficient operation and cost-effectiveness of the smart street lamps.

[0114] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope 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 lamp, characterized in that: The street lamp comprises 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 in a first time period, and the second power supply interface is used to supply power to the lighting module in a second time period, and the method comprises: S201: monitoring the amount of electricity charged into the first power supply interface and the amount of electricity stored in the electricity storage module when the first power supply interface charges the electricity storage module according to a first time interval; and calculating a first depreciation rate of the electricity storage module according to the amount of electricity charged and the amount of electricity stored; 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; 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; S204: obtaining a daily maintenance work order, which is used to record the maintenance time for each planning area; determining the maintenance priority among several 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; S205: repairing a plurality of inefficient street lamps in the planned area according to the target repair 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 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 a second depreciation rate of the power storage module when the second power supply interface charges the power storage module; and updating the mark of the first street lamp according to the second depreciation rate; S207 updates and counts the additional electricity price costs of inefficient street lamps in each planning area.

2. The method according to claim 1, characterized in that When it is determined in step S202 that the first depreciation rate is higher than the first preset value, the method further includes: Acquire at least two second street lamps in the planned area where the first street lamp is located; Comparing the difference in depreciation rate 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 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; Based on the third time interval, when the second power supply interface charges the power storage module, calculating a third depreciation rate of the power storage module; and updating the mark of the first street lamp according to the third depreciation rate; Update statistics on the additional electricity price costs of inefficient street lights in each planning area.

3. The method according to claim 1, characterized in that The maintenance priority includes a first maintenance level; S204 includes: When the cost-effectiveness index is less 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 preferentially 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, the corresponding second planning area is set to a second maintenance level, and the maintenance time of the second planning area is adjusted to a second time threshold; wherein the first time threshold is earlier than the second time threshold.

5. The method according to claim 1 or 2, characterized in that: The method further comprises: 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 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.

6. The method according to claim 1 or 2, characterized in that: The method further comprises: When the second depreciation rate is continuously lower than the first preset value, and / or when the third depreciation rate is continuously lower than the first preset value, monitoring the actual lighting time supplied by the power storage module; If the actual lighting duration is greater than or equal to the preset qualified duration, the corresponding first street lamp is marked as a normal street lamp.

7. The method according to claim 1, characterized in that The method further comprises: Calculating the actual paving density of each planning area according to the number of inefficient street lamps in 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.

8. The method according to claim 1, 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 list.

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, the single-primary-color light-emitting units are any one of white, green, yellow, blue, and red, and any two of the red, blue, and green primary-color light-emitting units are not adjacent.

10. An IoT five-primary-color, full-spectrum, multi-color-temperature LED peak-shifting energy storage smart street light digital platform, characterized in that: The digital platform includes: a number of IoT five-primary-color full-spectrum multi-color temperature LED peak-shifting energy storage smart street lamps and a remote control center; wherein each of the smart street lamps 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 a 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 in a first time period, 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 in a second time period; 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 as described in any one of claims 1 to 9.

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