Intelligent park digital management method and system

Abstract

The invention provides a smart park digital management method and system, and belongs to the technical field of park management, and the method specifically comprises the steps: determining an illumination control scheme of a target region based on an abnormal duration interval and illumination brightness thresholds of different positions in the target region, when it is determined that the lighting control reliability of the target area meets the requirement according to the number of the lighting control schemes in the target area and the idle data of the street lamps in the different lighting control schemes, the street lamps in the lighting control schemes serve as target control street lamps; and according to the influence condition on the illumination control scheme of the street lamps in the target area when the target control street lamp breaks down, whether the target control street lamp needs to be subjected to access processing of the remote fault diagnosis module on the park control platform is determined, and the reliability of road illumination processing of the smart park is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of park management, and particularly relates to a digital management method and system for smart parks. Background Art

[0002] The construction of industrial parks has realized the intensive management of enterprises. However, at the same time, the large number of enterprises in industrial parks has increased the management difficulty of the parks. This has made it an urgent technical problem to combine digital means to achieve park management.

[0003] In order to achieve digital management of the park, in the invention patent application CN202111530520.X, "An energy-saving lighting system based on a smart park", the construction of a master control module is used to manage street lamps in multiple areas, ensuring the unified management of street lamps throughout the park and improving the energy-saving effect of the park. However, there are the following technical problems:

[0004] As the single-use duration of street lamps increases, it will inevitably lead to an increase in the heat generation of power devices, which will have a certain impact on the service life and reliability of street lamps. Therefore, how to use the detection results of environmental brightness to achieve control and management of street lamps in the park and avoid too long a single-use duration of a single street lamp has become an urgent technical problem.

[0005] To solve the above technical problems, this application provides a digital management method and system for smart parks. Summary of the Invention

[0006] To achieve the object of the present invention, the present invention adopts the following technical solutions:

[0007] Specifically, in the first aspect, this application provides a digital management method for smart parks, which specifically includes:

[0008] S1 When the analysis result of the pedestrian flow in the target area of the smart park during different lighting periods determines that the influence of street lamp failures in the target area meets the requirements, proceed to the next step;

[0009] S2 Use the historical failure data of different street lamps in the smart park within different single-use duration intervals to determine the abnormal duration interval within the single-use duration interval;

[0010] S3 Based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, determine the lighting control plan for the target area. When the lighting control reliability of the target area meets the requirements based on the number of lighting control plans in the target area and the idle data of the street lamps in different lighting control plans, use the street lamps in the lighting control plan as the target control street lamps;

[0011] S4 determines whether the target controlled street lamp needs to access the remote fault diagnosis module on the park control platform according to the influence of the lighting control scheme of the street lamps in the target area when the target controlled street lamp fails.

[0012] The beneficial effects of the present invention are as follows:

[0013] Based on the analysis results of the pedestrian flow in the target area of the smart park during different lighting periods, it is determined whether the influence of the street lamp failure in the target area meets the requirements, thereby realizing the evaluation of the difference in the requirements for the reliability of the street lamp from the difference in the pedestrian flow during different lighting periods, and generating targeted differential remote fault diagnosis and treatment measures for areas with a large pedestrian flow, ensuring the real-time nature of the fault diagnosis and the reliability of the operation of the street lamps in the target area with a large pedestrian flow.

[0014] According to the influence of the lighting control scheme of the street lamps in the target area when the target controlled street lamp fails, it is determined whether the target controlled street lamp needs to access the remote fault diagnosis module on the park control platform, not only considering whether a new lighting control scheme that meets the requirements can be formed after the target controlled street lamp is damaged, but also considering the difference in the reliability of use caused by the difference in the single-use duration of different street lamps in the new lighting control scheme that meets the requirements, realizing the determination of remote fault diagnosis and treatment measures for different target controlled street lamps from multiple perspectives.

[0015] A further technical solution is that the target area is divided according to the unit area.

[0016] A further technical solution is that the lighting period is the period when the ambient light brightness in the target area is less than the preset ambient light brightness.

[0017] A further technical solution is that the analysis results of the pedestrian flow include the pedestrian flow in the lighting period of the target area on different dates.

[0018] A further technical solution is that the single-use duration interval is the cumulative duration of the street lamp running continuously after it is turned on.

[0019] A further technical solution is that determining that the influence of the street lamp failure in the target area meets the requirements specifically includes:

[0020] Based on the analysis results of the pedestrian flow in the target area during different lighting periods, determine the pedestrian flow in the lighting period on different dates;

[0021] According to the average value of the pedestrian flow in the lighting period on different dates, determine the average pedestrian flow in different lighting periods;

[0022] Determine whether the influence situation of the street lamp failure in the target area meets the requirements based on the average pedestrian flow in different lighting periods.

[0023] A further technical solution is that when the average value of the average pedestrian flow in different lighting periods is greater than the preset pedestrian flow threshold, it is determined that the influence situation of the street lamp failure in the target area does not meet the requirements.

[0024] A further technical solution is that when the influence situation of the street lamp failure in the target area does not meet the requirements, all the street lamps in the target area are connected to the park control platform for the remote fault diagnosis module.

[0025] A further technical solution is to determine whether the target control street lamp needs to be connected to the remote fault diagnosis module on the park control platform, specifically including:

[0026] When the target control street lamp fails, determine the lighting control scheme of the target area when the target control street lamp fails based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, and use it as the variable control scheme;

[0027] Based on the number of the variable control schemes, determine whether the target control street lamp needs to be connected to the remote fault diagnosis module on the park control platform.

[0028] A further technical solution is that when the number of the variable control schemes is greater than the preset scheme number threshold, it is determined that the target control street lamp does not need to be connected to the remote fault diagnosis module on the park control platform.

[0029] A further technical solution is that when the target control street lamp does not need to be connected to the remote fault diagnosis module on the park control platform, the fault identification process of the target street lamp is carried out in the form of manual inspection.

[0030] A further technical solution is that when the street lamp does not belong to the target control street lamp, the fault identification process of the target street lamp is carried out in the form of manual inspection.

[0031] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes the above-mentioned intelligent park digital management method.

[0032] Other features and advantages will be described in the subsequent specification, and the objectives and other advantages of the present invention are realized and obtained by the structures specifically pointed out in the specification and the drawings.

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0035] Figure 1 It is a flow chart of a digital management method for a smart park;

[0036] Figure 2 It is a flow chart to determine whether the impact of street lamp failure in the target area meets the requirements;

[0037] Figure 3 is a flow chart of a method for determining an abnormal duration interval in a single use duration interval;

[0038] Figure 4 is a flow chart of a method for determining a lighting control scheme for a target area;

[0039] Figure 5 It is a framework diagram of the digital management unit that controls the smart park. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0041] In the present application, the maximum single-use duration of different street lamps is fully taken into consideration, so as to generate a lighting control solution for the street lamps in a targeted manner, thereby increasing the service life of the street lamps.

[0042] Example 1

[0043] like Figure 1 As shown, the present application provides a digital management method for a smart park, which specifically includes:

[0044] S1: Based on the analysis results of the flow of people in the target area in the smart park during different lighting periods, when it is determined that the impact of the street lamp failure in the target area meets the requirements, proceed to the next step;

[0045] S2 Utilize the historical failure data of different street lights within the smart park in different single-use duration intervals to determine the abnormal duration intervals within the single-use duration intervals;

[0046] S3 Based on the abnormal duration intervals and the lighting brightness thresholds at different positions in the target area, determine the lighting control scheme for the target area. When the number of lighting control schemes in the target area and the idle data of the street lights in different lighting control schemes meet the requirements for the lighting control reliability of the target area, use the street lights in the lighting control scheme as the target control street lights;

[0047] S4 Determine whether the target control street lights need to be connected to the remote fault diagnosis module on the park control platform according to the impact of the failure of the target control street lights on the lighting control scheme of the street lights in the target area.

[0048] Further, the target area is divided according to the unit area.

[0049] Specifically, the lighting period is the period when the ambient light brightness in the target area is less than the preset ambient light brightness.

[0050] It can be understood that the analysis result of the pedestrian flow includes the pedestrian flow in the lighting period in the target area on different dates.

[0051] Further, the single-use duration interval is the cumulative duration of uninterrupted operation after the street light is turned on.

[0052] Specifically, as Figure 2 shown, determining that the street light failure impact situation in the target area meets the requirements specifically includes:

[0053] Based on the analysis result of the pedestrian flow in different lighting periods in the target area, determine the pedestrian flow in the lighting period on different dates;

[0054] According to the average value of the pedestrian flow in the lighting period on different dates, determine the average pedestrian flow in different lighting periods;

[0055] Based on the average pedestrian flow in different lighting periods, determine whether the street light failure impact situation in the target area meets the requirements.

[0056] It should be noted that when the average value of the average pedestrian flow in different lighting periods is greater than the preset pedestrian flow threshold, it is determined that the street light failure impact situation in the target area does not meet the requirements.

[0057] It is understandable that when the street lamp failure impact situation in the target area does not meet the requirements, all the street lamps in the target area are connected to the park control platform for the remote fault diagnosis module.

[0058] Optionally, determining that the street lamp failure impact situation in the target area meets the requirements specifically includes:

[0059] Based on the analysis results of the pedestrian flow in different lighting periods in the target area, determine the pedestrian flow in the lighting period on different dates;

[0060] According to the average value of the pedestrian flow in the lighting period on different dates, determine the average pedestrian flow in different lighting periods;

[0061] Take the lighting periods with the average pedestrian flow greater than the preset flow threshold as the selected lighting periods, and determine whether the street lamp failure impact situation in the target area meets the requirements based on the proportion of the number of the selected lighting periods in the lighting periods.

[0062] Furthermore, when the proportion of the number of the selected lighting periods in the lighting periods is greater than the preset proportion of the number of selected periods, it is determined that the street lamp failure impact situation in the target area does not meet the requirements.

[0063] Optionally, determining that the street lamp failure impact situation in the target area meets the requirements specifically includes:

[0064] Based on the analysis results of the pedestrian flow in different lighting periods in the target area, determine the total flow in the lighting period on different dates. When the total flow in the lighting period on different dates is less than the preset pedestrian flow threshold, it is determined that the street lamp failure impact situation in the target area meets the requirements;

[0065] When there is a date with the total flow in the lighting period not less than the preset pedestrian flow threshold:

[0066] Take the date with the total flow in the lighting period not less than the preset pedestrian flow threshold as the busy flow date. When the proportion of the number of the busy flow dates is greater than the preset proportion of the number of busy dates, it is determined that the street lamp failure impact situation in the target area does not meet the requirements;

[0067] When the proportion of the number of the busy flow dates is not greater than the preset proportion of the number of busy dates:

[0068] According to the average value of the pedestrian flow in the lighting period on different dates, determine the average pedestrian flow in different lighting periods. When the average pedestrian flow in different lighting periods is less than the preset flow threshold, it is determined that the street lamp failure impact situation in the target area meets the requirements;

[0069] When there is a lighting period with an average pedestrian flow not less than a preset flow threshold:

[0070] Take the lighting period with an average pedestrian flow greater than the preset flow threshold as the screened lighting period. When the proportion of the number of the screened lighting periods in the lighting periods is greater than the preset proportion of the number of the screened periods, it is determined that the street lamp failure impact situation in the target area does not meet the requirements;

[0071] When the proportion of the number of the screened lighting periods in the lighting periods is not greater than the preset proportion of the number of the screened periods:

[0072] Based on the pedestrian flow of different lighting periods on different dates and the average pedestrian flow of different dates, determine the pedestrian flow busyness coefficients of different lighting periods. When the average value of the pedestrian flow busyness coefficients of different lighting periods does not meet the requirements, it is determined that the street lamp failure impact situation in the target area does not meet the requirements;

[0073] When the average value of the pedestrian flow busyness coefficients of different lighting periods meets the requirements:

[0074] Determine the regional flow busyness coefficient of the target area according to the pedestrian flow busyness coefficients of different lighting periods, and determine whether the street lamp failure impact situation in the target area meets the requirements based on the regional flow busyness coefficient.

[0075] Specifically, when the regional flow busyness coefficient is greater than the preset busyness coefficient threshold, it is determined that the street lamp failure impact situation in the target area does not meet the requirements.

[0076] Specifically, as Figure 3 shown, the method for determining the abnormal duration interval in the single-use duration interval is:

[0077] Based on the historical failure data in different unit use duration intervals, determine the historical failure times of different street lamps in different unit use duration intervals;

[0078] Determine the street lamps with historical failure times greater than the preset failure times threshold based on the historical failure times of different street lamps, and take them as the failure risk street lamps;

[0079] According to the number of failure risk street lamps in the single-use duration interval, determine whether the single-use duration interval is an abnormal duration interval.

[0080] Furthermore, the abnormal duration interval is the single-use duration interval with the shortest single-use duration corresponding to the number of failure risk street lamps greater than the preset risk street lamp number threshold.

[0081] It should be noted that the lighting brightness threshold is the preset lighting brightness required by the smart park.

[0082] It is understandable that, as Figure 4 shown, the method for determining the lighting control scheme of the target area is:

[0083] Taking the single running duration of the street lights in the target area being less than the abnormal duration interval as the duration constraint condition, and based on the lighting brightness thresholds at different positions in the target area, generating a brightness constraint condition;

[0084] Combining the street lights in the target area to form multiple street light combinations, and generating multiple groups of schemes with the lighting periods of different street lights in different street light combinations as variables;

[0085] Based on the scheme being able to meet the duration constraint condition and the brightness constraint condition, generating the lighting control scheme of the target area.

[0086] Furthermore, determining that the lighting control reliability of the target area meets the requirements specifically includes:

[0087] Based on the idle data of the street lights in different lighting control schemes in the target area, determining the idle quantity of the street lights in different lighting control schemes in the target area;

[0088] According to the quantity of the lighting control schemes and the idle quantity of the street lights in different lighting control schemes, determining the sum of the idle quantities of the street lights in different lighting control schemes and taking it as the idle street light quantity;

[0089] Based on the idle street light quantity, determining whether the lighting control reliability of the target area meets the requirements.

[0090] It should be noted that when the idle street light quantity is greater than the preset idle street light quantity threshold, it is determined that the lighting control reliability of the target area meets the requirements.

[0091] Specifically, when the lighting control reliability of the target area does not meet the requirements, all the street lights in the target area are connected to the park control platform for the remote fault diagnosis module.

[0092] Optionally, determining that the lighting control reliability of the target area meets the requirements specifically includes:

[0093] Based on the idle data of the street lights in different lighting control schemes in the target area, determining the idle quantity of the street lights in different lighting control schemes in the target area;

[0094] Regarding the lighting control schemes with idle street lights as idle control schemes;

[0095] Determine whether the lighting control reliability of the target area meets the requirements based on the number of the lighting control schemes and the number of the idle control schemes.

[0096] Further, determining whether the lighting control reliability of the target area meets the requirements based on the number of the lighting control schemes and the number of the idle control schemes specifically includes:

[0097] Determine a control reliability coefficient based on the average value of the number of the lighting control schemes and the number of the idle control schemes, and when the control reliability coefficient is greater than a preset reliability coefficient threshold, it is determined that the lighting control reliability of the target area meets the requirements.

[0098] It should be noted that the idle data of the street lamps in the lighting control scheme are the unused street lamps in the lighting control scheme.

[0099] Optionally, determining that the lighting control reliability of the target area meets the requirements specifically includes:

[0100] Obtain the number of the lighting control schemes of the target area. When the number of the lighting control schemes is less than a preset number of control schemes, it is determined that the lighting control reliability of the target area does not meet the requirements;

[0101] When the number of the lighting control schemes is not less than the preset number of control schemes:

[0102] When the number of the lighting control schemes is within a preset range of the number of control schemes, it is determined that the lighting control reliability of the target area meets the requirements;

[0103] When the number of the lighting control schemes is all within the preset range of the number of control schemes:

[0104] Based on the idle data of the street lamps in different lighting control schemes in the target area, when it is determined that there are idle street lamps in different lighting control schemes in the target area, it is determined that the lighting control reliability of the target area meets the requirements;

[0105] When there is an idle lighting control scheme without street lamps in the target area:

[0106] When there are no idle street lamps in different lighting control schemes in the target area, it is determined that the lighting control reliability of the target area meets the requirements;

[0107] When there is an idle lighting control scheme with street lamps in the target area:

[0108] Take the idle lighting control scheme with street lights as the idle control scheme. When the number of the idle control schemes is greater than the preset idle control scheme quantity threshold, it is determined that the lighting control reliability of the target area meets the requirements;

[0109] When the number of the idle control schemes is not greater than the preset idle control scheme quantity threshold:

[0110] Based on the idle quantity of the street lights in different lighting control schemes, determine the street light control reliability coefficients of different lighting control schemes. When the number of the lighting control schemes with the street light control reliability coefficient greater than the preset reliability coefficient threshold meets the requirements, it is determined that the lighting control reliability of the target area meets the requirements;

[0111] When the number of the lighting control schemes with the street light control reliability coefficient greater than the preset reliability coefficient threshold does not meet the requirements

[0112] Determine the control reliability coefficient based on the street light control reliability coefficients of different lighting control schemes, and determine whether the lighting control reliability of the target area meets the requirements based on the control reliability coefficient.

[0113] Further, determine whether the target control street light needs to be connected to the remote fault diagnosis module on the park control platform, specifically including:

[0114] When the target control street light fails, based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, determine the lighting control scheme of the target area when the target control street light fails, and use it as the variable control scheme;

[0115] Based on the number of the variable control schemes, determine whether the target control street light needs to be connected to the remote fault diagnosis module on the park control platform.

[0116] Specifically, when the number of the variable control schemes is greater than the preset scheme quantity threshold, it is determined that the target control street light does not need to be connected to the remote fault diagnosis module on the park control platform.

[0117] It should be noted that when the target control street light does not need to be connected to the remote fault diagnosis module on the park control platform, the fault identification process of the target street light is carried out in the form of manual inspection.

[0118] Further, when the street light does not belong to the target control street light, the fault identification process of the target street light is carried out in the form of manual inspection.

[0119] Optionally, determine whether the target control street light needs to be connected to the remote fault diagnosis module on the park control platform, specifically including:

[0120] When the target control street lamp fails according to S41, based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, determine the lighting control plan for the target area when the target control street lamp fails, and use it as the variable control plan. According to the similarity of the street lamps in different variable control plans and the number of variable control plans, determine the street lamp correlation coefficient;

[0121] According to S42, use the single - use duration of different street lamps in different variable control plans and the time interval between different single - use durations to determine the use reliability coefficient of different variable control plans;

[0122] Based on the street lamp management coefficient and the use reliability coefficient of different variable control plans, determine the fault impact factor of the target control street lamp according to S43, and use the fault impact factor to determine whether the target control street lamp needs to access the remote fault diagnosis module on the park control platform.

[0123] Optionally, when the fault impact factor is greater than the preset fault impact factor threshold, it is determined that the target control street lamp does not need to access the remote fault diagnosis module on the park control platform.

[0124] Optionally, the above step S41 includes the following content:

[0125] When the target control street lamp fails according to S411, based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, determine the lighting control plan for the target area when the target control street lamp fails, and use it as the variable control plan. When the number of variable control plans does not meet the requirements, it is determined that the target control street lamp needs to access the remote fault diagnosis module on the park control platform. When the number of variable control plans meets the requirements, go to step S412;

[0126] According to S412, when it is determined that the similar number of street lamps in different variable control plans is less than the preset street lamp number threshold, it is determined that the target control street lamp needs to access the remote fault diagnosis module on the park control platform. When the similar number of street lamps in different variable control plans is not less than the preset street lamp number threshold, go to step S413;

[0127] S413 regards the change control scheme with the number of streetlights similar to that of other change control schemes being less than the preset streetlight number threshold as an independent control scheme. When the number of the independent control acts meets the requirements, it is determined that the target controlled streetlights do not need to be processed for access to the remote fault diagnosis module on the park control platform. When the number of the independent control acts does not meet the requirements, it proceeds to step S414;

[0128] S414 determines the streetlight correlation coefficient based on the similarity of the streetlights in different change control schemes and the number of change control schemes. When the streetlight correlation coefficient is less than the preset correlation coefficient threshold, it is determined that the target controlled streetlights do not need to be processed for access to the remote fault diagnosis module on the park control platform. When the streetlight correlation coefficient is not less than the preset correlation coefficient threshold, it proceeds to step S42.

[0129] Optionally, the following content is included in the above step S42:

[0130] S421 determines the single - use duration of different streetlights in different change control schemes. When there is a change control scheme where the single - use durations are all less than the preset use duration threshold, it proceeds to step S422. When there is no change control scheme where the single - use durations are all less than the preset use duration threshold, it proceeds to step S423;

[0131] S422 When the number of change control schemes with single - use durations all less than the preset use duration threshold meets the requirements, it is determined that the target controlled streetlights do not need to be processed for access to the remote fault diagnosis module on the park control platform. When the number of change control schemes with single - use durations all less than the preset use duration threshold does not meet the requirements, it proceeds to step S423;

[0132] S423 determines the use reliability coefficient of different change control schemes based on the single - use duration of different streetlights in different change control schemes and the time interval between different single - use durations. When the average value of the use reliability coefficients of different change control schemes meets the requirements, it is determined that the target controlled streetlights do not need to be processed for access to the remote fault diagnosis module on the park control platform. When the average value of the use reliability coefficients of different change control schemes does not meet the requirements, it proceeds to step S43.

[0133] Embodiment 2

[0134] In a second aspect, as Figure 5 shown, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above - mentioned intelligent park digital management method.

[0135] The various embodiments in this specification are described in a progressive manner. For the same or similar parts among the various embodiments, reference can be made to each other, and the key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the apparatus, device, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and reference can be made to the corresponding parts of the method embodiments for relevant content.

[0136] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0137] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A digital management method for an intelligent park, characterized in that, Specifically include: When the analysis result of the pedestrian flow in the target area of the smart park during different lighting periods determines that the impact of street lamp failures in the target area meets the requirements, proceed to the next step; Use the historical failure data of different street lamps in the smart park within different single-use duration intervals to determine the abnormal duration interval within the single-use duration interval; Based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, determine the lighting control scheme for the target area. When the reliability of the lighting control for the target area meets the requirements based on the number of lighting control schemes in the target area and the idle data of the street lamps in different lighting control schemes, use the street lamps in the lighting control scheme as the target control street lamps; Based on the impact of the failure of the target control street lamps on the lighting control scheme of the street lamps in the target area, determine whether the target control street lamps need to be connected to the remote fault diagnosis module on the park control platform.

2. The digital management method for an intelligent park according to claim 1, wherein The target area is divided according to the unit area.

3. The digital management method for an intelligent park according to claim 1, characterized in that, The lighting period is the period when the ambient light brightness in the target area is less than the preset ambient light brightness.

4. The digital management method for an intelligent park as described in claim 1, wherein, Determining that the impact of street lamp failures in the target area meets the requirements specifically includes: Based on the analysis result of the pedestrian flow in the target area during different lighting periods, determine the pedestrian flow during the lighting period on different dates; According to the average value of the pedestrian flow during the lighting period on different dates, determine the average pedestrian flow during different lighting periods; Based on the average pedestrian flow during different lighting periods, determine whether the impact of street lamp failures in the target area meets the requirements.

5. The digital management method for an intelligent park as claimed in claim 4, wherein, When the impact of street lamp failures in the target area does not meet the requirements, connect all the street lamps in the target area to the remote fault diagnosis module on the park control platform.

6. The digital management method for an intelligent park according to claim 1, characterized in that Determining whether the target control street lamps need to be connected to the remote fault diagnosis module on the park control platform specifically includes: When the target control street lamp fails, based on the abnormal duration interval and the lighting brightness thresholds at different positions in the target area, determine the lighting control scheme for the target area when the target control street lamp fails, and use it as the variable control scheme; Based on the number of the variable control schemes, determine whether the target control street lamps need to be connected to the remote fault diagnosis module on the park control platform.

7. The digital management method for an intelligent park according to claim 6, characterized in that, When the number of the variable control schemes is greater than the preset scheme number threshold, determine that the target control street lamps do not need to be connected to the remote fault diagnosis module on the park control platform.

8. The digital management method for an intelligent park according to claim 1, wherein When the target control street lamps do not need to be connected to the remote fault diagnosis module on the park control platform, use manual inspection to identify the faults of the target street lamps.

9. The digital management method for an intelligent park according to claim 1, wherein, When the street lamp does not belong to the target control street lamp, use manual inspection to identify the faults of the target street lamp.

10. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes a digital management method for an intelligent park according to any one of claims 1-9.

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