Clustering analysis area illumination optimization system and method of intelligent street lamp

Abstract

The invention relates to the technical field of street lamp management, in particular to a clustering analysis area illumination optimization system and method for intelligent street lamps, and the system comprises a recognition module which is used for recognizing the attribute information of the street lamps, and classifying the street lamps based on the attribute information of the street lamps; the monitoring module is used for monitoring the real-time electricity storage quantity of each street lamp; the street lamps are distinguished according to the attribute information of the street lamps, the street lamp electricity storage quantity is monitored synchronously, whether the street lamp electricity storage quantity meets the night lighting task execution condition or not is monitored in real time, and then on the basis of the monitoring result, the street lamp on-off control information is obtained. The operation power of the street lamp is adjusted, namely the illumination brightness is adjusted, so that the night illumination task can be executed as completely as possible by reducing the power when the electricity storage quantity is poor, and the illumination effect can be improved by adaptively increasing the power when the electricity storage quantity is surplus, and a brighter environment is provided for passersby.

Description

Technical Field

[0001] The present invention relates to the technical field of street lamp management, and particularly to a clustering analysis area lighting optimization system and method for intelligent street lamps. Background Art

[0002] Solar photovoltaic lighting street lamps integrate key components such as solar panels, storage batteries, controllers, and light sources. The solar panels convert light energy into electrical energy, which is stored in the storage battery. After being regulated by the controller, it powers the light source at night or in dim light to achieve efficient lighting. It has the advantages of energy conservation, environmental protection, and convenient installation, and is widely used in urban and rural roads, parks and other places.

[0003] The invention patent application with the application number 201020265900.6 discloses a street lamp intelligent control system. The system includes a PLC controller, a three-phase AC power supply, a first contactor, a second contactor, and a third contactor. The PLC controller has a first power supply terminal, a second power supply terminal, at least three input terminals, and at least three output terminals. The first power supply terminal is connected to one phase of the three-phase AC power supply, the second power supply terminal is grounded, and three of the output terminals are respectively grounded through the coils of the first contactor, the second contactor, and the third contactor. One contact of each contactor is respectively connected to one phase of the three-phase AC power supply. The PLC controller respectively outputs signals for controlling the opening and closing of the first contactor, the second contactor, and the third contactor, which are adjusted according to the sunrise and sunset times every day, to the coils of the first contactor, the second contactor, and the third contactor.

[0004] The application aims to solve the following problems: At present, most of the control systems of street lamps use a contactor and a timer to control all street lamps. Using a single contactor can only turn on or off all street lamps, and cannot change the illuminance according to actual needs, wasting a large amount of energy; using a timer can control the lighting time of street lamps, but with the change of seasons, the sunrise and sunset times are different, and the opening and closing times of street lamps are different, so it is necessary to continuously adjust the time of the timer, which is very inconvenient.

[0005] However, for solar photovoltaic lighting street lamps, which are clean and renewable resources, people expect them to provide lighting services to the greatest extent. If a relatively high fixed power is set, although it can provide a better lighting effect, due to the influence of light factors, the stored power is unstable, and a relatively high power is likely to cause such street lamps to be unable to continuously provide lighting services within a predetermined time threshold.

[0006] Therefore, we propose a clustering analysis area lighting optimization system and method for intelligent street lamps. Summary of the Invention

[0007] In view of the above-mentioned disadvantages of the prior art, the present invention provides a clustering analysis area lighting optimization system and method for intelligent street lamps, which solves the technical problems proposed in the above-mentioned background art.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0009] In the first aspect, a clustering analysis area lighting optimization system for intelligent street lamps includes:

[0010] An identification module for identifying street lamp attribute information and classifying street lamps based on the street lamp attribute information; a monitoring module for monitoring the real-time stored power of each street lamp; an accounting module for obtaining the street lamp on-off control information and the real-time stored power of each street lamp monitored by the operation of the monitoring module, and calculating whether each street lamp has the condition for executing the night lighting task based on the street lamp on-off control information and the real-time stored power; a guarantee module for operating when the accounting module calculates that there are street lamps that do not have the condition for executing the night lighting task, and is used to reduce the power of the street lamps that do not have the condition for executing the night lighting task, so that the street lamps that do not have the condition for executing the night lighting task meet the condition for executing the night lighting task; a coordination module for operating when the accounting module calculates that there are no street lamps that do not have the condition for executing the night lighting task, or after the operation of the guarantee module, and is used to adaptively coordinate the operating power of the street lamps; a sniffing module for recording the daily operating power of the street lamps and sniffing defective street lamps based on the daily operating power of the street lamps.

[0011] Furthermore, a sub-module is provided under the identification module, including:

[0012] A marking unit for differentially marking street lamps;

[0013] An uploading unit for uploading street lamp attribute information;

[0014] Among them, when the marking unit differentially marks street lamps, the street lamps are marked based on the street lamp deployment location information. During the stage when the uploading unit uploads the street lamp attribute information, the attribute information of each street lamp is marked with the street lamp deployment location information, so that the attribute information of each street lamp is uploaded in the format of an independent data packet. The street lamp attribute information includes: the criticality of the street lamp on its deployed road and the daytime light duration at the street lamp deployment location.

[0015] Furthermore, when the identification module classifies street lamps based on the street lamp attribute information, it calculates the criticality of the street lamp on its deployed road, and further sets a classification interval, so that each classification interval corresponds to a criticality range;

[0016] The calculation logic of the criticality of the street lamp on its deployed road is expressed as:

[0017]

[0018] Where: k is the key degree of the street lamp on the road where it is deployed; α is a constant; d near is the path distance of the street lamp from the nearest road fork on the road;

[0019] The constant α is greater than 0, and its value is user-defined by the system end user. The larger k is, the more critical the street lamp is on the road where it is deployed;

[0020] When the recognition module classifies street lamps based on street lamp attribute information, it traverses the daytime illumination time of each street lamp deployment location and further sets classification intervals so that each classification interval corresponds to a range of illumination time;

[0021] The classification intervals are used to perform two classification operations on the street lamps.

[0022] Furthermore, the street lamp is a solar photovoltaic lighting street lamp, and the street lamp on-off control information obtained by the accounting module running is the street lamp opening time, closing time, and set power defined by the street lamp management end user;

[0023] The accounting logic in the accounting module for whether the street lamp has the condition to execute the night lighting task is:

[0024]

[0025] Where: T is the sustainable operation time of the street lamp; E in is the stored power of the street lamp; P is the operating power of the street lamp; T norr is the time interval from the street lamp opening time to the closing time;

[0026] Among them, when T calculated by formula (1) holds in formula (2), it means that the street lamp has the condition to execute the night lighting task, otherwise, it means that the street lamp does not have the condition to execute the night lighting task.

[0027] Furthermore, the operating power reduction logic for street lamps that do not have the condition to execute the night lighting task in the guarantee module is:

[0028]

[0029] Where: P x is the target value of the operating power reduction of the street lamp;

[0030] Among them, P - P x represents the operating power of the street lamp after reducing the operating power.

[0031] Furthermore, during the operation stage of the coordination module, a set is selected from each set of street lamps classified by the recognition module, and the street lamps in the selected set of street lamps are used as the operating power coordination targets;

[0032] In the street lamp set selection stage, select one or more street lamp sets belonging to the intervals with the largest corresponding range end values in the set interval. In the interval selection stage, the number of selected intervals is user-defined by the system terminal user, and the default number of selected intervals is 1;

[0033] After determining the operating power coordination target, the coordination module further captures the street lamps that have undergone the reduction of operating power by the guarantee module in the operating power coordination target group, kicks out the captured street lamps from the operating power coordination target group, and uses each street lamp in the finally obtained operating power coordination target group as the target street lamp for adaptive coordinated operating power.

[0034] Furthermore, the adaptive coordination logic for the operating power of street lamps in the coordination module is expressed as:

[0035]

[0036] In the formula: P x ′ is the operating power coordination target value of the street lamp;

[0037] Among them, P + P x ′ represents the operating power of the street lamp after coordinated operating power. When the value of P + P x ′ is greater than the rated operating power of the street lamp, the street lamp operates based on the rated power of the street lamp. When the value of P + P x ′ is less than or equal to the rated operating power of the street lamp, the street lamp operates based on P + P x ′. The daily operating power of the street lamp user-defined by the street lamp management terminal is less than the rated operating power of the street lamp, and the system is reset at any time outside the interval from the street lamp turning-on time to the turning-off time every day.

[0038] Furthermore, when the sniffing module runs to sniff defective street lamps, it follows:

[0039] Distinguish and cumulatively record the daily operating power of each street lamp. When the cumulative recorded daily operating power belonging to the same street lamp comes from the control results of the guarantee module three times in a row, record this street lamp as a defective street lamp;

[0040] Among them, after the defective street lamp is determined based on the sniffing module, the defective street lamp is used as the maintenance target for offline maintenance, and the maintenance content includes inspection and solar photovoltaic expansion.

[0041] Furthermore, a marking unit and an uploading unit are connected to the lower level of the recognition module through wireless network interaction. The recognition module is connected to a monitoring module and an accounting module through wireless network interaction. The accounting module is connected to the coordination module and the guarantee module through wireless network. The coordination module and the guarantee module are connected to a sniffing module through wireless network interaction.

[0042] Second aspect, a clustering analysis-based regional lighting optimization method for intelligent streetlights, comprising the following steps:

[0043] Step 1: Obtain streetlight attribute information and distinguish streetlights based on the streetlight attribute information;

[0044] Step 2: Monitor the stored power of the streetlights in real time, obtain the streetlight turning-on time, and calculate whether the streetlights meet the conditions for performing the night lighting task based on the streetlight turning-on time and the stored power of the streetlights;

[0045] Step 3: When there are streetlights that do not meet the conditions for performing the night lighting task in the calculation result, control the operating power of the streetlights to be adjusted downward to meet the conditions for performing the night lighting task;

[0046] Step 4: Select streetlights as coordination targets among the distinguished streetlights and control the operating power of the streetlights to be coordinated upward;

[0047] Step 41: Coordination target cleaning stage: Kick out the streetlights that have repeated and had their operating power adjusted downward;

[0048] Step 5: Defective streetlight sniffing stage.

[0049] Adopting the technical solution provided by the present invention, compared with the known public technologies, it has the following beneficial effects:

[0050] The present invention provides a clustering analysis-based regional lighting optimization system and method for intelligent streetlights. This method and system are for solar photovoltaic lighting streetlights, distinguish streetlights through streetlight attribute information, synchronously monitor the stored power of streetlights, and monitor in real time whether the stored power of streetlights meets the conditions for performing the night lighting task. Furthermore, based on the monitoring results, the operating power of the streetlights is adjusted, that is, the lighting brightness is adjusted, to ensure that when the stored power is scarce, the night lighting task can be executed as completely as possible by reducing the power, and when the stored power is surplus, the power can be adaptively increased to improve the lighting effect and provide a brighter environment for passers-by;

[0051] Generally, it effectively improves the intelligent control effect of such streetlights, ensures that the streetlights make full use of electric energy for lighting work, and improves the robustness of the lighting service in the streetlight lighting area. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0053] Figure 1Schematic structural diagram of a clustering analysis area lighting optimization system for intelligent street lights;

[0054] Figure 2 Schematic flow diagram of a clustering analysis area lighting optimization method for intelligent street lights. Detailed implementation manners

[0055] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0056] The present invention will be further described below with reference to the embodiments.

[0057] Embodiment 1:

[0058] A clustering analysis area lighting optimization system for intelligent street lights in this embodiment, as Figure 1 shown, includes:

[0059] An identification module, configured to identify street light attribute information and classify street lights based on the street light attribute information;

[0060] Sub-modules are provided under the identification module, including:

[0061] A marking unit, configured to differentially mark street lights;

[0062] An uploading unit, configured to upload street light attribute information;

[0063] Among them, when the marking unit differentially marks street lights, the street lights are marked based on the street light deployment location information. During the stage when the uploading unit uploads the street light attribute information, the attribute information of each street light is marked with the street light deployment location information, so that the attribute information of each street light is uploaded in the format of an independent data packet. The street light attribute information includes: the criticality of the street light on the road where it is deployed, and the daytime light duration at the street light deployment location;

[0064] When the identification module classifies street lights based on the street light attribute information, it calculates the criticality of the street light on the road where it is deployed, and further sets classification intervals, so that each classification interval corresponds to a criticality range;

[0065] The calculation logic of the criticality of the street light on the road where it is deployed is expressed as:

[0066]

[0067] Where: k is the criticality of the street lamp on the road where it is deployed; α is a constant; d near is the path distance of the street lamp from the nearest road intersection on the road;

[0068] The constant α is greater than 0, and its value is user-defined by the system end-user. The larger k is, the more critical the street lamp is on the road where it is deployed;

[0069] Through the above logical formula, the criticality of the street lamp on the road where it is deployed is calculated;

[0070] When the recognition module classifies street lamps based on street lamp attribute information, it traverses the daytime lighting time of each street lamp deployment location and further sets classification intervals so that each classification interval corresponds to a lighting time range;

[0071] The classification interval is used to perform two classification operations on the street lamps;

[0072] The monitoring module is used to monitor the real-time stored electricity of each street lamp;

[0073] The accounting module is used to obtain the street lamp opening and closing control information and the real-time stored electricity of each street lamp monitored by the operation of the monitoring module, and based on the street lamp opening and closing control information and the real-time stored electricity, it calculates whether each street lamp has the condition to execute the night lighting task;

[0074] The street lamp is a solar photovoltaic lighting street lamp, and the street lamp opening and closing control information obtained by the operation of the accounting module is the street lamp opening time, closing time, and set power defined by the street lamp management end-user;

[0075] The accounting logic for whether the street lamp in the accounting module has the condition to execute the night lighting task is:

[0076]

[0077] Where: T is the sustainable operation time of the street lamp; E in is the stored electricity of the street lamp; P is the operating power of the street lamp; T norr is the interval duration from the street lamp opening time to the closing time;

[0078] Through the above formula, it is calculated and determined whether the street lamp has the condition to execute the night lighting task, providing necessary operation data support for the operation of the subsequent modules in this embodiment of the system.

[0079] Among them, when T calculated by formula (1) holds in formula (2), it means that the street lamp has the condition to execute the night lighting task, otherwise, it means that the street lamp does not have the condition to execute the night lighting task;

[0080] The operation power reduction logic of the street lamp that does not have the condition to execute the night lighting task in the guarantee module is:

[0081]

[0082] Where: P x is the target value for reducing the operating power of the street lamp;

[0083] Among them, P - P x represents the operating power of the street lamp after reducing the operating power;

[0084] Through the above logical formula, the control logic for the guarantee module to reduce the operating power of the street lamp is defined.

[0085] The guarantee module operates when the accounting module calculates that there are street lamps that do not meet the conditions for performing the night lighting task, and is used to reduce the power of the street lamps that do not meet the conditions for performing the night lighting task, so that the street lamps that do not meet the conditions for performing the night lighting task meet the conditions for performing the night lighting task;

[0086] The coordination module operates when the accounting module calculates that there are no street lamps that do not meet the conditions for performing the night lighting task, or after the guarantee module finishes operating, and is used to adaptively coordinate the operating power of the street lamps;

[0087] During the operation stage of the coordination module, a set is selected from each set of street lamps classified by the recognition module, and the street lamps in the selected set of street lamps are used as the target for coordinating the operating power;

[0088] During the street lamp set selection stage, one or more sets of street lamps belonging to the interval with the largest end value corresponding to the selected set interval are selected. During the interval selection stage, the number of selected intervals is user-defined by the system end user, and the default number of selected intervals is 1;

[0089] After the coordination module determines the target for coordinating the operating power, it further captures the street lamps that have undergone the processing of reducing the operating power by the guarantee module in the target group for coordinating the operating power, and kicks the captured street lamps out of the target group for coordinating the operating power, and uses each street lamp in the finally obtained target group for coordinating the operating power as the target street lamp for adaptively coordinating the operating power;

[0090] The adaptive coordination logic for the operating power of the street lamp in the coordination module is expressed as:

[0091]

[0092] Where: P x ′ is the target value for coordinating the operating power of the street lamp;

[0093] Among them, P + P x ′ represents the operating power of the street lamp after coordinating the operating power. When the value of P + P x ′ is greater than the rated operating power of the street lamp, the street lamp operates based on the rated power of the street lamp. When the value of P + P x ′ is less than or equal to the rated operating power of the street lamp, the street lamp is based on P + Px ′Operation. The daily operating power of the street lamp customized by the street lamp management terminal user is less than the rated operating power of the street lamp, and the system is reset at any time outside the time interval from the street lamp turning-on time to the turning-off time every day;

[0094] Through the above logical formula, the coordination logic of the coordination module when adaptively coordinating the operating power of the street lamp is defined.

[0095] A sniffing module, used to record the daily operating power of the street lamp and sniff defective street lamps based on the daily operating power of the street lamp;

[0096] When the sniffing module runs to sniff defective street lamps, it follows:

[0097] Differentiate and cumulatively record the daily operating power of each street lamp. When the daily operating power of the cumulative records belonging to the same street lamp all come from the control results of the guarantee module three times in a row, mark this street lamp as a defective street lamp;

[0098] Among them, after the defective street lamp is determined based on the sniffing module, the defective street lamp is used as the maintenance target to perform offline maintenance, and the maintenance content includes inspection and solar photovoltaic expansion;

[0099] The lower level of the identification module is connected with a marking unit and an uploading unit through wireless network interaction. The identification module is connected with a monitoring module and an accounting module through wireless network interaction. The accounting module is connected with the coordination module and the guarantee module through wireless network interaction. The coordination module and the guarantee module are connected with the sniffing module through wireless network interaction.

[0100] In this embodiment, the identification module runs to identify the attribute information of the street lamp, classifies the street lamp based on the attribute information of the street lamp, the marking unit synchronously makes different marks on the street lamp, the uploading unit uploads the attribute information of the street lamp in real time, the monitoring module runs later to monitor the real-time stored power of each street lamp, and then the accounting module obtains the street lamp on-off control information and the real-time stored power of each street lamp monitored by the monitoring module, and calculates whether each street lamp has the condition to execute the night lighting task based on the street lamp on-off control information and the real-time stored power. When the accounting module calculates that there are street lamps that do not have the condition to execute the night lighting task, the guarantee module runs, and by reducing the power of the street lamps that do not have the condition to execute the night lighting task, the street lamps that do not have the condition to execute the night lighting task are made to meet the condition to execute the night lighting task. When the accounting module calculates that there are no street lamps that do not have the condition to execute the night lighting task, or after the guarantee module finishes running, the coordination module runs to adaptively coordinate the operating power of the street lamp, and finally the sniffing module records the daily operating power of the street lamp and sniffs defective street lamps based on the daily operating power of the street lamp.

[0101] Through the operation of the system in the above embodiments, intelligent control effects are provided for street lamps, enabling the street lamps to meet the lighting task execution conditions intelligently based on power coordination. Moreover, in the case of cable surplus, a brighter lighting effect can be provided to the maximum extent.

[0102] Embodiment 2:

[0103] At the specific implementation level, based on Embodiment 1, this embodiment further specifically describes a clustering analysis regional lighting optimization system for a smart street lamp in Embodiment 1 with reference to Figure 2 :

[0104] A clustering analysis regional lighting optimization method for a smart street lamp includes the following steps:

[0105] Step 1: Obtain street lamp attribute information and distinguish street lamps based on the street lamp attribute information;

[0106] Step 2: Real-time monitor the stored electricity of the street lamp, obtain the street lamp turning-on time, and calculate whether the street lamp has the condition to execute the night lighting task based on the street lamp turning-on time and the stored electricity of the street lamp;

[0107] Step 3: When there are street lamps that do not have the condition to execute the night lighting task in the calculation result, control the operating power of the street lamp to be adjusted downward to meet the night lighting task execution condition;

[0108] Step 4: Select a street lamp as a coordination target among the distinguished street lamps and control the operating power of the street lamp to be coordinated upward;

[0109] Step 41: Coordination target cleaning stage: Repeatedly kick out the street lamps whose operating power has been adjusted downward;

[0110] Step 5: Defective street lamp sniffing stage.

[0111] In summary, the above embodiments are directed to solar photovoltaic lighting street lamps, distinguish street lamps through street lamp attribute information, synchronously monitor the stored electricity of the street lamps, and monitor in real time whether the stored electricity of the street lamps has the condition to execute the night lighting task. Then, based on the monitoring results, the operating power of the street lamps is adjusted, that is, the lighting brightness is adjusted, to ensure that when the stored electricity is scarce, the night lighting task can be executed as completely as possible by reducing the power, and when the stored electricity is in surplus, the power can be adaptively increased to improve the lighting effect, providing a brighter environment for passers-by. Generally, the intelligent control effect of this type of street lamp is effectively improved, ensuring that the street lamps make full use of electric energy for lighting work and improving the robustness of the lighting service in the street lamp lighting area.

[0112] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A clustering analysis and area lighting optimization system for intelligent street lights, characterized in that, Including: An identification module, configured to identify street lamp attribute information and classify street lamps based on the street lamp attribute information; A monitoring module, configured to monitor the real-time stored power of each street lamp; An accounting module, configured to obtain the street lamp on / off control information and the real-time stored power of each street lamp monitored by the operation of the monitoring module, and calculate whether each street lamp has the condition to execute the night lighting task based on the street lamp on / off control information and the real-time stored power; A guarantee module, which operates when the accounting module calculates that there are street lamps that do not have the condition to execute the night lighting task, and is configured to reduce the power of the street lamps that do not have the condition to execute the night lighting task, so that the street lamps that do not have the condition to execute the night lighting task meet the condition to execute the night lighting task; A coordination module, which operates when the accounting module calculates that there are no street lamps that do not have the condition to execute the night lighting task, or after the operation of the guarantee module, and is configured to adaptively coordinate the operating power of the street lamps; A sniffer module, configured to record the daily operating power of the street lamps and sniff defective street lamps based on the daily operating power of the street lamps.

2. The clustering analysis area lighting optimization system of a smart street lamp according to claim 1, characterized in that A sub-module is provided under the identification module, including: A marking unit, configured to make a distinct mark on the street lamps; An uploading unit, configured to upload the street lamp attribute information; Wherein, when the marking unit makes a distinct mark on the street lamps, the street lamps are marked based on the street lamp deployment location information. During the stage when the uploading unit uploads the street lamp attribute information, the attribute information of each street lamp is marked with the street lamp deployment location information, so that the attribute information of each street lamp is uploaded in the format of an independent data packet. The street lamp attribute information includes: the criticality of the street lamp on its deployed road and the daytime illumination duration at the street lamp deployment location.

3. The clustering analysis area lighting optimization system of a smart street lamp according to claim 2, characterized in that, When the identification module classifies the street lamps based on the street lamp attribute information, it calculates the criticality of the street lamp on its deployed road, and further sets classification intervals, so that each classification interval corresponds to a criticality range; The calculation logic of the criticality of the street lamp on its deployed road is expressed as: Where: k is the criticality of the street lamp on the road where it is deployed; α is a constant; d near is the path distance of the street lamp on the road from the nearest road intersection; The constant α is greater than 0, and its value is user-defined by the system end user. The larger k is, the more critical the street lamp is on its deployed road; When the identification module classifies the street lamps based on the street lamp attribute information, it traverses the daytime illumination time at each street lamp deployment location, and further sets classification intervals, so that each classification interval corresponds to a illumination time range; Perform two classification operations on the street lamps using the classification intervals.

4. The clustering analysis area lighting optimization system for an intelligent street lamp according to claim 1, characterized in that, The street lamp is a solar photovoltaic lighting street lamp, and the street lamp on / off control information obtained by the operation of the accounting module is the street lamp on time, off time, and set power user-defined by the street lamp management end user; The accounting logic for whether the street lamp has the condition to execute the night lighting task in the accounting module is: Where: T is the sustainable operation time of the street lamp; E in is the stored electricity of the street lamp; P is the operating power of the street lamp; T norr is the time interval from the time when the street lamp is turned on to the time when it is turned off; Wherein, when T calculated by formula (1) holds in formula (2), it means that the street lamp has the condition to execute the night lighting task, otherwise, it means that the street lamp does not have the condition to execute the night lighting task.

5. The clustering analysis area lighting optimization system of a smart street lamp according to claim 4, characterized in that, The operation power reduction logic for the street lamps that do not have the condition to execute the night lighting task in the guarantee module is: Where: P x is the target value for reducing the operating power of the street lamp; Among them, P-P x represents the operating power of the street lamp after reducing the operating power.

6. The clustering analysis area lighting optimization system of a smart street lamp according to claim 1, characterized in that, During the operation stage of the coordination module, select a set from the sets of each street lamp classified by the identification module, and use the street lamps in the selected street lamp set as the operation power coordination target; In the street lamp set selection stage, select one or more street lamp sets belonging to the intervals with the largest corresponding range end values in the set interval. In the interval selection stage, the number of selected intervals is user-defined by the system user, and the default number of selected intervals is 1; After determining the operating power coordination target, the coordination module further captures the street lamps that have undergone the reduction of operating power by the guarantee module in the operating power coordination target group, and kicks out the captured street lamps from the operating power coordination target group. Each street lamp in the finally obtained operating power coordination target group is used as the target street lamp for adaptively coordinating the operating power.

7. The clustering analysis area lighting optimization system of a smart street lamp according to claim 4, characterized in that, The adaptive coordination logic for the operating power of street lamps in the coordination module is expressed as: Where: P x ′ is the coordinated target value of the operating power of the street lamp; Among them, P+P x ′ represents the operating power of the street lamp after coordinated operation power, when the value of P+P x ′ is greater than the rated operating power of the street lamp, the street lamp operates based on the rated power of the street lamp. When the value of P+P x ′ is less than or equal to the rated operating power of the street lamp, the street lamp operates based on P+P x ′. The daily operating power of the street lamp customized by the street lamp management terminal user is less than the rated operating power of the street lamp, and the system is reset at any time outside the time interval from the street lamp turning-on time to the turning-off time every day.

8. The clustering analysis area lighting optimization system of a smart street lamp according to claim 1, characterized in that, When the sniffing module operates to sniff defective street lamps, it follows: Differentiate and cumulatively record the daily operating power of each street lamp. When the cumulative recorded daily operating power belonging to the same street lamp comes from the control results of the guarantee module three times in a row, mark this street lamp as a defective street lamp; Among them, after the defective street lamp is determined based on the sniffing module, the defective street lamp is used as the maintenance target to perform offline maintenance, and the maintenance content includes inspection and solar photovoltaic expansion.

9. The clustering analysis area lighting optimization system for an intelligent street lamp according to claim 1, wherein, The lower level of the identification module is wirelessly interactively connected with a marking unit and an uploading unit. The identification module is wirelessly interactively connected with a monitoring module and an accounting module. The accounting module is wirelessly interacted with the coordination module and the guarantee module. The coordination module and the guarantee module are wirelessly interactively connected with a sniffing module.

10. A clustering analysis-based regional lighting optimization method for intelligent street lights, which is an implementation method of a clustering analysis-based regional lighting optimization system for intelligent street lights as described in any one of claims 1-9, characterized in that, It includes the following steps: Step 1: Obtain street lamp attribute information and distinguish street lamps based on the street lamp attribute information; Step 2: Real-time monitor the stored power of the street lamp, obtain the street lamp turn-on time, and calculate whether the street lamp has the condition to execute the night lighting task based on the street lamp turn-on time and the stored power of the street lamp; Step 3: When there are street lamps in the calculation result that do not have the condition to execute the night lighting task, control the operating power of the street lamp to be adjusted downward to meet the condition to execute the night lighting task; Step 4: Select street lamps as coordination targets among the distinguished street lamps and control the operating power of the street lamps to be coordinated upward; Step 41: Coordination target cleaning stage: Repeat and kick out the street lamps whose operating power has been adjusted downward; Step 5: Defective street lamp sniffing stage.

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