Method and device for determining large-area power failure of street light system

Abstract

The present invention discloses a method and device for determining a large-scale power outage in a streetlight system. The method comprises: obtaining a set M of unplanned lights off within a preset range; determining the streetlight with the highest concentration using a Gaussian kernel function and the location information of each streetlight in the unplanned lights off set M; determining a target range within the preset range based on the location information of the streetlight with the highest concentration; obtaining a total set F of streetlights within the target range; determining the unplanned lights off set P within the target range as the intersection of the total set F and the unplanned lights off set M; determining the planned lights off set T within the target range as the intersection of the total set F and the planned lights off set Y within the preset range; calculating the unplanned lights off rate q within the target range based on the total set F, the unplanned lights off set P, and the planned lights off set T; and determining that a large-scale power outage has occurred in the preset range if q is greater than a preset threshold. The present invention can effectively and in real time identify a large-scale power outage in a streetlight system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of street light monitoring, more particularly, to a method and device for determining large-area power failure of a street light system. BACKGROUND

[0002] As an important part of urban infrastructure, street light systems play a crucial role in night lighting and traffic safety. Large-area power failure can lead to reduced night visibility and increased risk of traffic accidents, posing a threat to the safety of citizens' lives and property. By effectively identifying large-area power failure of street light systems, emergency plans can be quickly initiated, and temporary traffic control measures can be taken to ensure smooth and safe urban traffic. In addition, large-area power failure can be caused by various reasons, such as equipment failure, human damage, or natural disasters. By effectively identifying large-area power failure of street light systems, potential safety hazards can be promptly investigated and addressed to prevent further deterioration and ensure long-term stable operation of the street light system.

[0003] Traditional street light control systems often have limited monitoring capabilities, which are limited to the state feedback of a single lamp post, i.e., only identifying and reporting which specific lamp post has lost lighting function. Whether large-area power failure occurs often depends on the manual identification and judgment of on-duty personnel or waiting for citizen complaints, which not only increases the cost and difficulty of manual monitoring, but also may delay the discovery of large-area power failure and delay repair. Therefore, traditional systems cannot accurately determine the scope and severity of power failure in a timely manner.

[0004] Chinese patent application No. 202210182826.9, filed on February 27, 2022, discloses a smart city street light control system and method. When a single street light experiences a circuit failure, the GPS positioning system locates the position information of the street light failure and accepts the located information. The checking unit matches the pre-stored position information of the single street light with the position information of the failure occurrence, determines the specific street light under the specific digital reference information, and displays the position of the specific street light on the GIS map to assist workers in quickly locating the circuit failure point. This patent can only identify the power failure state of a single street light and cannot real-time identify whether the street light system is experiencing large-area power failure. SUMMARY

[0005] Therefore, the present application provides a method and device for determining large-area power failure of a street light system, which can effectively identify large-area power failure of a street light system in real time.

[0006] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0007] In a first aspect, the present application provides a method for determining large-area power failure of a streetlight system, comprising:

[0008] obtaining a non-planned light-out set M in a preset range;

[0009] generating a position information set H based on position information of each streetlight in the non-planned light-out set M;

[0010] for any position information in the position information set H, calculating a Gaussian kernel function value between the position information and other position information in the position information set H by using a Gaussian kernel function, and determining a kernel density value of the position information based on all Gaussian kernel function values;

[0011] generating a kernel density value set K based on kernel density values of all position information in the position information set H;

[0012] determining a streetlight mx with the highest aggregation degree as a streetlight corresponding to a maximum kernel density value kx in the kernel density value set K;

[0013] determining a target range based on position information of the streetlight mx with the highest aggregation degree; wherein the target range belongs to the preset range;

[0014] obtaining identification information of all streetlights in the target range, and generating a total streetlight set F in the target range based on the identification information;

[0015] determining a non-planned light-out set P in the target range as an intersection of the total streetlight set F and the non-planned light-out set M;

[0016] determining a planned light-out set T in the target range as an intersection of the total streetlight set F and a planned light-out set Y in the preset range;

[0017] calculating a non-planned light-out rate q in the target range according to a formula q=(p / (f-t))x100%; wherein p is a number of streetlights in the non-planned light-out set P, f is a number of streetlights in the total streetlight set F, and t is a number of streetlights in the planned light-out set T;

[0018] if the non-planned light-out rate q is greater than a preset threshold, determining that large-area power failure occurs in the preset range.

[0019] The method provided by the present application can quickly and accurately determine large-area power failure of a streetlight system, thereby forming an alarm and a work order and pushing them to relevant staff, so that corresponding operation and maintenance personnel can quickly respond and repair, and normal operation of urban lighting is ensured.

[0020] In a possible implementation, obtaining the non-planned light-out set M in the preset range comprises:

[0021] generate an actual light-out set L in the preset range based on the light patrol records in the preset range;

[0022] determine a difference set of the planned light-out set Y and the actual light-out set L as an unplanned light-out set M.

[0023] In a possible implementation, determining the target range based on the position information of the light pole mx with the highest aggregation degree comprises:

[0024] setting a center of the target range as the position information of the light pole mx with the highest aggregation degree and setting a radius of the target range as the preset value.

[0025] In a possible implementation, the preset threshold value ranges from 50% to 80%.

[0026] In a second aspect, the present application provides a device for determining large-area power failure of a street light system, which comprises a set obtaining module, a first set generating module, a Gaussian kernel calculating module, a second set generating module, an aggregation degree determining module, a target range determining module, a third set generating module, a first set determining module, a second set determining module, a light-out rate calculating module and a determining module; wherein,

[0027] The set obtaining module is connected with the first set generating module and is configured to obtain an unplanned light-out set M in a preset range.

[0028] The first set generating module is connected with the set obtaining module and the Gaussian kernel calculating module and is configured to generate a position information set H based on the position information of each light pole in the unplanned light-out set M.

[0029] The Gaussian kernel calculating module is connected with the first set generating module and the second set generating module and is configured to calculate the Gaussian kernel function value between any position information in the position information set H and other position information in the position information set H by using a Gaussian kernel function, and determine the kernel density value of the position information based on all the Gaussian kernel function values.

[0030] The second set generating module is connected with the Gaussian kernel calculating module and the aggregation degree determining module and is configured to generate a kernel density value set K based on the kernel density values of all the position information in the position information set H.

[0031] The aggregation degree determining module is connected with the second set generating module and the target range determining module and is configured to determine the light pole corresponding to the maximum kernel density value kx in the kernel density value set K as the light pole mx with the highest aggregation degree.

[0032] The target range determining module is connected with the aggregation degree determining module and the third set generating module and is configured to determine a target range based on the position information of the light pole mx with the highest aggregation degree; wherein the target range belongs to the preset range.

[0033] A third set generation module is connected to the first set determination module, the second set determination module and the target range determination module respectively, and is used to obtain identification information of all street lamps within the target range and generate a total street lamp set F within the target range based on the identification information;

[0034] The first set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range;

[0035] The second set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the planned light-off set Y within a preset range as the planned light-off set T within the target range;

[0036] The light-off rate calculation module is connected to the first set determination module, the second set determination module, and the third set generation module, and is used to calculate the unplanned light-off rate q within the target range according to the formula q = (p / (ft)) × 100%; where p is the number of street lights in the unplanned light-off set P, f is the number of street lights in the total street light set F, and t is the number of street lights in the planned light-off set T;

[0037] The determination module is connected to the light-off rate calculation module and is used to determine that a large-scale power outage has occurred in a preset range if the unplanned light-off rate q is greater than a preset threshold.

[0038] For the specific description of the second aspect and its various implementations in the present invention, reference can be made to the detailed description of the first aspect and its various implementations; and for the beneficial effects of the second aspect and its various implementations, reference can be made to the analysis of the beneficial effects of the first aspect and its various implementations, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0040] Figure 1 This is a structural block diagram of a system for determining a large-scale power outage in a streetlight system according to an embodiment of the present invention;

[0041] Figure 2 This is a flow chart of a method for determining a large-scale power outage in a streetlight system according to an embodiment of the present invention;

[0042] Figure 3 This is a block diagram of the internal structure of a device for determining a large-scale power outage in a streetlight system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. Note that the relative arrangement, numerical expressions, and numerical values of components and steps set forth in these embodiments are not limiting to the scope of the present application unless otherwise specifically stated.

[0044] The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the scope of the application its application or uses.

[0045] Techniques, methods, and apparatus known to those of ordinary skill in the relevant art can not be discussed in detail herein. However, where appropriate, such techniques, methods, and apparatus should be considered as being part of the specification.

[0046] In all of the examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as a limitation. Thus, other examples of exemplary embodiments can have different values.

[0047] It should be noted that like reference numerals and letters refer to like items in the following drawings, and thus once an item is defined in one drawing, it need not be discussed further in subsequent drawings.

[0048] The embodiment of the present application provides a street lamp system large-area power failure determination system. Please refer to Figure 1 , which is a structural block diagram of the street lamp system large-area power failure determination system provided by the embodiment of the present application. As Figure 1 shown, the street lamp system large-area power failure determination system provided by the present application mainly includes: a plurality of single lamp controllers 101 and a data processing center 102 connected with the plurality of single lamp controllers 101, wherein each single lamp controller 101 corresponds to a street lamp.

[0049] According to the preset range of lighting, energy saving and other needs, the street lamp system staff formulates different lighting schemes for different roads and regions in the preset range, that is, each street lamp on the preset road automatically performs corresponding opening or closing operation in different time periods, and each street lamp corresponds to a light-on or light-off time table, which records the corresponding opening or closing operation of the street lamp in each time period. The single lamp controller 101 corresponding to the street lamp performs the opening or closing operation according to the light-on or light-off time table. At this time, the data processing center 102 can issue the opening or closing time table of each street lamp to the single lamp controller 101 corresponding to each street lamp in the form of instructions through the Internet of Things, and the single lamp controller 101 controls the opening or closing of the street lamp according to the instructions.

[0050] It should be noted that the preset range can be divided according to provinces, cities, districts, counties, towns and other administrative regions, or can be self-defined, and the embodiment is not limited specifically.

[0051] In addition, in addition to generating the switch-on schedule of each single lamp controller 101, the data processing center 102 also generates a plurality of planned switch-off sets Y within the preset range, where the planned switch-off set Y refers to an array of identification information of all planned switch-off street lamps within the preset range. It should be noted that the planned switch-off set Y is generally for a certain sub-time period, for example, a one-day lighting scheme. The one-day time period can be divided into 24 sub-time periods, each of which corresponds to a time length of 1 hour, and then 24 planned switch-off sets Y can be generated, each of which contains the identification information of the planned switch-off street lamps within the preset range.

[0052] The single lamp controller 101 also monitors the voltage, current, power and other electrical parameter data of the street lamp. These electrical parameter data can be uploaded to the data processing center 102 by the single lamp controller 101 according to a preset period, or can be uploaded by the single lamp controller 101 in response to the uploading request sent by the data processing center 102. The data processing center 102 analyzes and stores these electrical parameter data to form a patrol record. By analyzing the voltage, current, power and other electrical parameter data, it can be concluded that the corresponding street lamp is in an on or off state, and the patrol record will record the on or off state of each street lamp within the preset range. The data processing center 102 then summarizes the actual switch-off set L at the current time according to the on or off state of the street lamp in the patrol record.

[0053] Next, the data processing center 102 will determine whether a large-area power failure occurs in the street lamp system according to the actual switch-off set L at the current time and the planned switch-off set Y corresponding to the sub-time period to which the current time belongs.

[0054] In order to improve the real-time and accuracy of the entire determination method, the number of planned switch-off sets Y can be set as much as possible, that is, the time period of the entire lighting period is divided as much as possible. Preferably, the density of time period division can be proportional to the change frequency of the on or off state of each street lamp in the lighting scheme, that is, the higher the change frequency of the on or off state of all street lamps in a time period within the lighting period, the more the number of sub-time periods divided in the time period.

[0055] The embodiment of the present application provides a determination method for large-area power failure of a street lamp system applied to a data processing center. Please refer to Figure 2 , which is a flowchart of the determination method for large-area power failure of a street lamp system provided by the embodiment of the present application. As shown in Figure 2 , the determination method for large-area power failure of a street lamp system provided by the present application mainly includes the following steps (steps S201-S211):

[0056] Step S201, obtaining a non-planned switch-off set M within a preset range;

[0057] Step S202, generating a position information set H based on the position information of each street lamp in the unplanned lamp-off set M;

[0058] Step S203, for any position information in the position information set H, calculating the Gaussian kernel function value between the position information and other position information in the position information set H by using the Gaussian kernel function, and determining the kernel density value of the position information based on all the Gaussian kernel function values;

[0059] Step S204, generating a kernel density value set K based on the kernel density values of all the position information in the position information set H;

[0060] Step S205, determining the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest aggregation degree;

[0061] Step S206, determining the target range based on the position information of the street lamp mx with the highest aggregation degree; wherein the target range belongs to the preset range;

[0062] Step S207, obtaining the identification information of all the street lamps in the target range, and generating a total street lamp set F in the target range based on the identification information;

[0063] Step S208, determining the intersection of the total street lamp set F and the unplanned lamp-off set M in the preset range as the unplanned lamp-off set P in the target range;

[0064] Step S209, determining the intersection of the total street lamp set F and the planned lamp-off set Y in the preset range as the planned lamp-off set T in the target range;

[0065] Step S210, calculating the unplanned lamp-off rate q in the target range according to the formula q = (p / (f-t))x100%; wherein p is the number of street lamps in the unplanned lamp-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned lamp-off set T;

[0066] Step S211, if the unplanned lamp-off rate q is greater than a preset threshold, determining that the preset range has a large-area power outage.

[0067] In step S201, the unplanned lamp-off set M refers to an array of street lamp identification information that is left after excluding the street lamps that need to be turned off according to the light-on scheme from all the street lamps that are actually turned off in the preset range at the current time. Therefore, the difference set calculation can be performed on the planned lamp-off set Y and the actual lamp-off set L in Embodiment One, and the street lamp identification information that cannot be matched in the difference set constitutes the unplanned lamp-off set M in the preset range.

[0068] In this embodiment, the position information refers to latitude and longitude, which can be obtained through a GIS system. The Gaussian kernel function is defined as a monotonic function of the Euclidean distance between any point in space and a certain center point, and its formula is usually expressed as:

[0069]

[0070] In the formula, x and y represent the feature vectors of two position information respectively, ||x-y|| represents the Euclidean distance between x and y, and σ is the bandwidth parameter of the Gaussian kernel function, for example, σ = 0.02.

[0071] After calculating all the Gaussian kernel function values between the position information and other position information, sum all the Gaussian kernel function values and calculate the average value to obtain the kernel density value of the position information.

[0072] After obtaining the kernel density values of all position information in the position information set H according to steps S203 and S204, the position information corresponding to the maximum kernel density value is set as the highest degree of light mx.

[0073] In some optional embodiments, in step S206, the position information of the highest degree of light mx is set as the center of the circle, and the target range is drawn with a preset radius.

[0074] In step S210, the unplanned light-out rate q is used to indicate the proportion of the number of unplanned light-outs in the total number of lights excluding the number of planned light-outs, and the higher the proportion, the higher the probability of large-area power failure in the target range, and vice versa.

[0075] In step S211, the preset threshold value can be set according to the actual situation, and optionally, the value range is [50%, 80%], and preferably, the value is 50%. If it is not greater than the preset threshold value, the determination process is terminated and waits for the next determination process.

[0076] Further, after determining the large-area power failure, an alarm and a repair work order can be formed and pushed to the corresponding workers.

[0077] This embodiment combines the planned light-out in the light-on scheme, and automatically and accurately determines the large-area power failure by finding the highest degree of light in the unplanned light-out, discovers and responds to the large-area power failure event in a timely manner, helps to maintain the stable operation of the urban lighting system, improves the safety and satisfaction of citizens, and reduces the dependence on manual monitoring and labor costs.

[0078] Based on the same inventive concept, embodiments of the present invention further provide a device for determining a large-scale streetlight system power outage, which is used to implement the aforementioned method for determining a large-scale streetlight system power outage. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for determining a large-scale streetlight system power outage provided below can be found in the aforementioned method for determining a large-scale streetlight system power outage, and will not be further elaborated here.

[0079] Figure 3 FIG. 3 shows a structural block diagram of a device 300 for determining a large-scale power outage in a streetlight system. Figure 3 As shown, the device 300 for determining a large-scale power outage in a streetlight system includes: a set acquisition module 301, a first set generation module 302, a Gaussian kernel calculation module 303, a second set generation module 304, a concentration determination module 305, a target range determination module 306, a third set generation module 307, a first set determination module 308, a second set determination module 309, a light-off rate calculation module 310, and a determination module 311; wherein,

[0080] The set acquisition module 301 is connected to the first set generation module 302 and is used to obtain an unplanned light-off set M within a preset range;

[0081] The first set generation module 302 is connected to the set acquisition module 301 and the Gaussian kernel calculation module 303 respectively, and is used to generate a location information set H based on the location information of each street lamp in the unplanned light-off set M;

[0082] The Gaussian kernel calculation module 303 is connected to the first set generation module 302 and the second set generation module 304, and is used to calculate, for any position information in the position information set H, a Gaussian kernel function value between the position information and other position information in the position information set H, and determine a kernel density value of the position information based on all Gaussian kernel function values;

[0083] The second set generation module 304 is connected to the Gaussian kernel calculation module 303 and the aggregation determination module 305 respectively, and is used to generate a kernel density value set K based on the kernel density values ​​of all position information in the position information set H;

[0084] The aggregation degree determination module 305 is connected to the second set generation module 304 and the target range determination module 306 respectively, and is used to determine the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest aggregation degree;

[0085] The target range determining module 306 is connected with the aggregation degree determining module 305 and the third set generating module 307 respectively, and is configured to determine a target range based on the position information of the street lamp mx with the highest aggregation degree; wherein the target range belongs to the preset range.

[0086] The third set generating module 307 is connected with the first set determining module 308, the second set determining module 309 and the target range determining module 306 respectively, and is configured to acquire the identification information of all street lamps in the target range, and generate a total street lamp set F in the target range based on the identification information.

[0087] The first set determining module 308 is connected with the third set generating module 307 and the light-out rate calculating module 310 respectively, and is configured to determine the intersection of the total street lamp set F and the non-planned light-out set M as a non-planned light-out set P in the target range.

[0088] The second set determining module 309 is connected with the third set generating module 307 and the light-out rate calculating module 310 respectively, and is configured to determine the intersection of the total street lamp set F and the planned light-out set Y in the preset range as a planned light-out set T in the target range.

[0089] The light-out rate calculating module 310 is connected with the first set determining module 308, the second set determining module 309 and the third set generating module 307 respectively, and is configured to calculate the non-planned light-out rate q in the target range according to the formula q = (p / (f-t))x100%; wherein p is the number of street lamps in the non-planned light-out set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-out set T.

[0090] The determining module 311 is connected with the light-out rate calculating module 310, and is configured to determine that a large-area power failure occurs in the preset range if the non-planned light-out rate q is greater than a preset threshold.

[0091] In some optional embodiments, the set acquiring module 301 is specifically configured to generate an actual light-out set L in the preset range based on the street lamp patrol records in the preset range; and determine the difference set of the planned light-out set Y and the actual light-out set L as the non-planned light-out set M.

[0092] In some optional embodiments, the target range determining module 306 is specifically configured to set the center of the target range as the position information of the street lamp mx with the highest aggregation degree, and set a preset value as the radius of the target range.

[0093] In some optional embodiments, the preset threshold in the determining module 311 has a value range of [50%, 80%].

[0094] It should be noted that the above-mentioned function modules can be integrated together to form a single unit, for example, integrated in a processing unit, or each module can exist physically, or two or more modules can be integrated to form a single unit. The above-mentioned integrated unit can be realized in the form of hardware or in the form of a software function unit. When the function is realized in the form of a software function module and sold or used as an independent product, it can be stored in a computer readable storage medium.

[0095] In particular, according to the embodiments of the present application, the processes described in the above flowcharts can be implemented as a computer software program.

[0096] The technical solutions of the present application or the parts of the technical solutions that make essential contributions or parts of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium. The embodiments of the present application also provide a computer readable storage medium including computer programs or computer instructions for making an electronic device (which can be a personal computer, a server or a network device, etc.) or a processor execute all or part of the steps of the embodiments of the present application. The storage medium mentioned above includes a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and various media that can store program codes.

[0097] The embodiments of the present application include a computer program product including a computer program carried on a computer readable medium, and the computer program includes computer programs for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from the network, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), various functions defined in the present application are executed.

[0098] Although some specific embodiments of the present application have been described in detail through examples, those skilled in the art should understand that the above examples are only for illustration and are not intended to limit the scope of the present application. Those skilled in the art should understand that the above embodiments can be modified without departing from the scope and spirit of the present application. The scope of the present application is defined by the appended claims.

Claims

1. A method for determining a large-scale power outage in a streetlight system, characterized in that: include: Get the set M of unplanned light-off within a preset range; Generate a location information set H based on the location information of each street lamp in the unplanned light-off set M; For any of the position information in the position information set H, using a Gaussian kernel function to calculate a Gaussian kernel function value between the position information and other position information in the position information set H, and determining a kernel density value of the position information based on all the Gaussian kernel function values; Generate a kernel density value set K based on the kernel density values ​​of all position information in the position information set H; Determine the streetlight corresponding to the maximum kernel density value kx in the kernel density value set K as the streetlight mx with the highest concentration; Determine a target range based on the position information of the street lamp mx with the highest concentration; wherein the target range belongs to the preset range; Obtain identification information of all street lamps within the target range, and generate a total street lamp set F within the target range based on the identification information; Determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range; Determine the intersection of the total street lamp set F and the planned light-off set Y within the preset range as the planned light-off set T within the target range; The unplanned light-off rate q within the target range is calculated according to the formula q = (p / (ft)) × 100%; where p is the number of streetlights in the unplanned light-off set P, f is the number of streetlights in the total streetlight set F, and t is the number of streetlights in the planned light-off set T; If the unplanned light-off rate q is greater than a preset threshold, it is determined that a large-scale power outage occurs in the preset range.

2. The method for determining a large-scale power outage in a streetlight system according to claim 1, characterized in that: The step of obtaining the unplanned light-off set M within a preset range includes: Generating an actual light-off set L within the preset range based on the street light patrol records within the preset range; The difference between the planned light-off set Y and the actual light-off set L is determined as the unplanned light-off set M.

3. The method for determining a large-scale power outage in a streetlight system according to claim 1 or 2, characterized in that: The determining of the target range based on the position information of the street lamp mx with the highest concentration includes: The center of the target range is set according to the position information of the street lamp mx with the highest concentration, and the radius of the target range is set according to a preset value.

4. The method for determining a large-scale power outage in a streetlight system according to claim 1 or 2, characterized in that: The value range of the preset threshold is [50%, 80%].

5. A device for determining a large-scale power outage in a streetlight system, characterized in that: include: Set acquisition module, first set generation module, Gaussian kernel calculation module, second set generation module, aggregation degree determination module, target range determination module, third set generation module, first set determination module, second set determination module, light-off rate calculation module and judgment module; wherein, The set acquisition module is connected to the first set generation module and is used to obtain the unplanned light-off set M within a preset range; The first set generation module is connected to the set acquisition module and the Gaussian kernel calculation module respectively, and is used to generate a location information set H based on the location information of each street lamp in the unplanned light-off set M; The Gaussian kernel calculation module is connected to the first set generation module and the second set generation module respectively, and is used to calculate, for any position information in the position information set H, a Gaussian kernel function value between the position information and other position information in the position information set H, and determine a kernel density value of the position information based on all the Gaussian kernel function values; The second set generation module is connected to the Gaussian kernel calculation module and the aggregation degree determination module respectively, and is used to generate a kernel density value set K based on the kernel density values ​​of all position information in the position information set H; The aggregation degree determination module is connected to the second set generation module and the target range determination module respectively, and is used to determine the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest aggregation degree; The target range determination module is connected to the concentration determination module and the third set generation module respectively, and is used to determine the target range based on the position information of the street lamp mx with the highest concentration; wherein the target range belongs to the preset range; The third set generation module is connected to the first set determination module, the second set determination module and the target range determination module respectively, and is used to obtain identification information of all street lamps within the target range and generate a total street lamp set F within the target range based on the identification information; The first set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range; The second set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the planned light-off set Y within the preset range as the planned light-off set T within the target range; The light-off rate calculation module is connected to the first set determination module, the second set determination module, and the third set generation module, respectively, and is used to calculate the unplanned light-off rate q within the target range according to the formula q = (p / (ft)) × 100%; where p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T; The determination module is connected to the light-off rate calculation module and is used to determine that a large-scale power outage occurs in the preset range if the unplanned light-off rate q is greater than a preset threshold.

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