Dynamic management method of solar lights for coastal camping

Abstract

This invention discloses a dynamic management method for solar-powered lights for coastal camping, belonging to the technical field of intelligent lighting systems. The method involves the following steps: a user sends a lighting request containing an identity, a timestamp, and preset parameters via a mobile device. A sensor network in the camping area receives the request, integrates multi-source data to determine the user's real-time location, and triggers the corresponding solar-powered lights in the area to enter an interactive state according to preset rules. The sensor network generates lighting prompts containing candidate light groups, and feedbacks the location identifiers and operating mode options via optical signals and the mobile device. The user selects the target light group and specifies the mode, and the management system adjusts the operating parameters according to an energy-benefit model. The system monitors the operating status and environmental parameters in real time and automatically switches to the initial energy-saving mode in the event of an anomaly or when the user terminates the request. This method enables dynamic management and intelligent control of solar-powered lights in coastal camping scenarios, improving the lighting experience and energy efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent lighting systems, and in particular to a dynamic management method for coastal camping solar lights. Background Art

[0002] Solar camping lights are often deployed in coastal camping areas, such as tourist attractions and seaside parks, for nighttime illumination and landscape embellishment. As people engage in more outdoor activities, the demand for intelligent and personalized lighting in camping areas is growing. Traditional fixed-mode solar light management methods are no longer able to meet diverse user needs, such as temporarily enhancing local illumination and adjusting the light spectrum for different activity types. In this context, a method and system for dynamically managing solar lights is needed to improve lighting efficiency, optimize energy utilization, and enhance the user experience.

[0003] The information disclosed in this background technology section is only intended to enhance understanding of the overall background of the invention and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the above-mentioned defects and provide a dynamic management method for coastal camping solar lights.

[0005] On the one hand, in order to solve the above technical problems, the technical solution provided by the present invention is:

[0006] A method for dynamic management of solar lights for coastal camping comprises the following steps: S100, a user sends a lighting request to a solar light management system via a mobile terminal, wherein the lighting request includes at least a user identity identifier, a request timestamp, and preset lighting parameters; S200, a sensor network distributed in a camping area receives the lighting request, determines the user's real-time location based on a multi-source sensor data fusion algorithm, and triggers the solar lights in the corresponding area to enter an interactive state according to preset jurisdiction division rules; S300, the sensor network generates lighting prompt information including candidate light groups, feeds back the location identifiers and operating mode options of the candidate light groups to the user via optical signal modulation technology, and simultaneously renders visual lighting selection information on a mobile terminal interface; S400, the user selects a target solar light group and specifies an operating mode based on the lighting prompt information and a visual interface, and the management system dynamically adjusts the operating parameters of the target light group according to a preset energy consumption-benefit model; S500, real-time monitoring of the operating status and environmental parameters of the target light group, and automatically switches to an initial energy-saving mode when an abnormal operating condition is detected or the user terminates the request.

[0007] Optionally, the multi-source sensor data fusion algorithm in step S200 is specifically:

[0008] ;

[0009] in, is the distance between the user and the Bluetooth signal sensor, is the measured signal strength value (dBm), is the signal strength value at a reference distance of 1 meter, is the environmental attenuation factor; the sensor network jurisdiction division rule is: with each sensor as the center, the circular jurisdiction area is divided according to the signal strength-distance threshold, and the overlapping rate of adjacent areas does not exceed 30%.

[0010] Optionally, the optical signal modulation technology in step S300 adopts FSK modulation, and the candidate light groups encode their identities through different flashing frequencies. The frequency-address mapping relationship is:

[0011] ;

[0012] in, is the reference frequency, is the frequency interval, For the light group address code, The maximum number of lights in the area under the jurisdiction of a single sensor; the visual lighting selection information interface includes a spatial position heat map module, which renders the light group distribution density using the Gaussian kernel density estimation algorithm. The formula is:

[0013] ;

[0014] in, is the user coordinate, is the light group coordinate, is the bandwidth parameter, is the Gaussian kernel function.

[0015] Optionally, the energy consumption-benefit model in step S400 is constructed based on game theory, and the objective function is:

[0016] ;

[0017] The constraints are:

[0018] ;

[0019] in, For the The power of each lamp group, For working hours, The user payment coefficient, is the energy cost coefficient, is the actual illumination, is the minimum illumination threshold, is the upper limit of the total system power, is the total number of light groups; the working modes include ambient light mode and accent lighting mode.

[0020] Optionally, when multiple users share the same light group, the Shapley value method is used to share the cost. The calculation formula is:

[0021] ;

[0022] in, For users of the shared expenses, Collection for users The benefits of cooperation, is the total number of users, To include users Any subset of .

[0023] Optionally, a dynamic spectrum adaptation module is also included, and the specific steps are as follows:

[0024] S410, receiving activity type parameters input by the user, and retrieving a preset spectrum database;

[0025] S420 generates target spectrum curve through tunable spectrum LED combination or switchable filter components , the spectrum matching calculation formula is:

[0026] ;

[0027] in, is the standard active spectrum template, is the matching coefficient (0≤M≤1);

[0028] S430 monitors the spectral output in real time and feeds it back to the closed-loop control system. Error correction uses PID algorithm:

[0029] ;

[0030] in, is the spectral error, 、 、 are the proportional, integral, and differential coefficients.

[0031] Optionally, when multiple users apply for spectrum customization at the same time and resources conflict, a priority scheduling algorithm is used for arbitration. The priority calculation formula is:

[0032] ;

[0033] in, is the user waiting time weight, is the spectrum scarcity weight, is the user's credit rating weight, + + =1.

[0034] Optionally, the sensor network includes multimodal sensors, which include at least: a Bluetooth signal sensor for collecting RSSI data of user equipment; an ambient light sensor for monitoring ambient illumination and triggering automatic mode switching; a current and voltage sensor for real-time monitoring of energy consumption parameters of solar lamps; and a temperature sensor for monitoring the operating temperature of the lamp to prevent overheating and damage.

[0035] On the other hand, the present invention also provides a dynamic management system for coastal camping solar lights, including: a mobile terminal interaction module for generating lighting requests, displaying lighting selection information and user operation input; a sensor network module, including a multimodal sensor for environmental perception and data collection; a central processing module for dynamic management method steps, including a position solution unit, a mode control unit, an energy consumption management unit and a spectrum adaptation unit; a solar light group module, including an LED light source with adjustable power, a spectrum modulation component and a wireless communication module.

[0036] On the other hand, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for dynamically managing coastal camping solar lights as described in item 1.

[0037] Compared with traditional technologies, the advantages of the present invention are:

[0038] (1) The present invention sends a lighting request to the solar lamp management system through the mobile terminal, so that users can enjoy lighting services customized according to their personal needs. It not only supports preset lighting parameters but also can adjust the working mode in real time to provide a personalized lighting experience.

[0039] (2) The present invention utilizes a sensor network distributed in the camping area and a multi-source sensor data fusion algorithm to accurately determine the user's real-time location and quickly trigger the solar lights in the corresponding area to enter an interactive state, thereby improving response speed and service efficiency.

[0040] (3) The present invention adopts optical signal modulation technology and a visual interface. Users can intuitively select the target solar lamp group and its working mode through the spatial position heat map module, which enhances the user experience.

[0041] (4) The energy consumption-benefit model constructed based on game theory in the present invention can dynamically adjust the working parameters of the target lamp group to ensure that the system can achieve energy-saving operation while meeting user needs, reducing operating costs and improving economic benefits.

[0042] (5) The system of the present invention has a built-in dynamic spectrum adaptation module, which can automatically adjust the lighting conditions according to different activity types. At the same time, it uses the PID algorithm for error correction to ensure the stability of the lighting quality and adapt to different usage scenarios.

[0043] (6) When multiple users share the same lamp group, the present invention adopts the Shapley value method to share the cost, ensuring the fairness and rationality of the cost distribution.

[0044] (7) When multiple users apply for spectrum customization at the same time and resources conflict, the present invention uses a priority scheduling algorithm to arbitrate and reasonably allocate limited lighting resources, thereby improving the overall service efficiency.

[0045] (8) The system of the present invention is equipped with various types of sensors (such as Bluetooth signal sensors, ambient light sensors, current and voltage sensors, and temperature sensors), which can comprehensively monitor the environment and equipment status, effectively prevent problems such as overheating and damage, and ensure the safe and stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is the process of the dynamic management method of coastal camping solar lights provided by the embodiment of the present invention Figure 1 ;

[0047] Figure 2 This is the process of the dynamic management method of coastal camping solar lights provided by the embodiment of the present invention Figure 2 ;

[0048] Figure 3 This is a schematic diagram of the interaction between a street lamp and a user provided by an embodiment of the present invention;

[0049] Figure 4 Schematic diagram of a user interaction terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0051] As previously mentioned, traditional fixed-mode solar lamp management methods are no longer able to meet diverse user needs, such as temporarily enhancing local illumination and adjusting the spectrum for different activity types. In this context, a method and system for dynamically managing solar lamps is needed to improve lighting efficiency, optimize energy utilization, and enhance the user experience.

[0052] To address this issue, the present invention provides a method, system, and storage medium for dynamically managing coastal camping solar lights. These methods address the aforementioned issues in the following manner.

[0053] Example 1:

[0054] Please refer to the instruction manual Figure 1 As shown in the figure, this embodiment provides a method for dynamically managing coastal camping solar lights, including the following steps:

[0055] S100: A user sends a lighting request to a solar lamp management system via a mobile terminal, wherein the lighting request includes at least a user identity, a request timestamp, and preset lighting parameters;

[0056] S200: A sensor network distributed in the camping area receives the lighting request, determines the user's real-time location based on a multi-source sensor data fusion algorithm, and triggers the solar lights in the corresponding area to enter an interactive state according to a preset jurisdiction division rule;

[0057] S300: The sensor network generates lighting prompt information including candidate light groups, and uses optical signal modulation technology to provide the user with feedback on the location identification and working mode options of the candidate light groups, while rendering visual lighting selection information on the mobile terminal interface;

[0058] S400: The user selects a target solar lamp group and specifies an operating mode based on the lighting prompt information and the visual interface, and the management system dynamically adjusts the operating parameters of the target lamp group according to a preset energy consumption-benefit model;

[0059] S500: Monitor the working status and environmental parameters of the target lamp group in real time, and automatically switch to the initial energy-saving mode when an abnormal working condition is detected or a user terminates the request.

[0060] The present invention solves the defects of the existing technology by constructing a dynamic management system: the user sends a lighting request containing an identity, a timestamp and preset parameters through the mobile terminal, the sensor network determines the user's real-time location based on a multi-source data fusion algorithm, triggers the solar lights in the corresponding area to enter an interactive state, and renders visual selection information on the mobile terminal. After the user selects the target light group and mode, the management system dynamically adjusts the working parameters and monitors the working status and environmental parameters in real time. It automatically switches to the initial energy-saving mode when an abnormality occurs or the user terminates the request, thereby realizing dynamic response to lighting needs, precise positioning of the position, flexible interaction of light groups, intelligent adjustment of parameters and automatic switching of energy-saving modes, meeting the diverse needs of users, improving lighting efficiency and energy utilization, and enhancing user experience.

[0061] Example 2:

[0062] Based on the above embodiment, in order to further explain the technical solution clearly and completely, the present invention further provides a second embodiment. In this second embodiment, the multi-source sensor data fusion algorithm in step S200 is specifically as follows:

[0063] ;

[0064] in, is the distance between the user and the Bluetooth signal sensor, is the measured signal strength value (dBm), is the signal strength value at a reference distance of 1 meter, is the environmental attenuation factor;

[0065] The sensor network's jurisdiction division rule is: with each sensor as the center, a circular jurisdiction area is divided according to the signal strength-distance threshold, and the overlapping rate of adjacent areas does not exceed 30%.

[0066] In the second embodiment, the optical signal modulation technology in step S300 adopts FSK modulation, and the candidate light groups encode their identities through different flashing frequencies. The frequency-address mapping relationship is:

[0067] ;

[0068] in, is the reference frequency, is the frequency interval, For the light group address code, The maximum number of lights in the area governed by a single sensor;

[0069] The visual lighting selection information interface includes a spatial position heat map module, which uses the Gaussian kernel density estimation algorithm to render the light group distribution density. The formula is:

[0070] ;

[0071] in, is the user coordinate, is the light group coordinate, is the bandwidth parameter, is the Gaussian kernel function.

[0072] In the second embodiment, the energy consumption-benefit model in step S4 is constructed based on game theory, and the objective function is:

[0073] ;

[0074] The constraints are:

[0075] ;

[0076] in, For the The power of each lamp group, For working hours, The user payment coefficient, is the energy cost coefficient, is the actual illumination, is the minimum illumination threshold, is the upper limit of the total system power, is the total number of lamp groups;

[0077] The working modes include an ambient light mode and an accent lighting mode.

[0078] In the second embodiment, the energy consumption-benefit model in step S400 is constructed based on game theory, and the objective function is:

[0079] ;

[0080] The constraints are:

[0081] ;

[0082] in, For the The power of each lamp group, For working hours, The user payment coefficient, is the energy cost coefficient, is the actual illumination, is the minimum illumination threshold, is the upper limit of the total system power, is the total number of lamp groups;

[0083] The working modes include an ambient light mode and an accent lighting mode.

[0084] In the second embodiment, when multiple users share the same lamp group, the Shapley value method is used to share the cost, and the calculation formula is:

[0085] ;

[0086] in, For users of the shared expenses, Collection for users The benefits of cooperation, is the total number of users, To include users Any subset of .

[0087] In the second embodiment, between steps S400 and S500, a dynamic spectrum adaptation module is further included, and the specific steps are as follows:

[0088] S410, receiving activity type parameters input by the user, and retrieving a preset spectrum database;

[0089] S420, generate a target spectrum curve through a spectrum-adjustable LED combination or a switchable filter component , the spectrum matching calculation formula is:

[0090] ;

[0091] in, is the standard active spectrum template, is the matching coefficient (0≤M≤1);

[0092] S430, real-time monitoring of spectral output and feedback to the closed-loop control system, error correction using PID algorithm:

[0093] ;

[0094] in, is the spectral error, 、 、 are the proportional, integral, and differential coefficients.

[0095] In the second embodiment, when multiple users apply for spectrum customization at the same time and resources conflict, a priority scheduling algorithm is used for arbitration. The priority calculation formula is:

[0096] ;

[0097] in, is the user waiting time weight, is the spectrum scarcity weight, is the user's credit rating weight, + + =1.

[0098] In the second embodiment, the sensor network includes a multimodal sensor, which includes at least: a Bluetooth signal sensor for collecting RSSI data of the user device; an ambient light sensor for monitoring the ambient illumination and triggering automatic mode switching; a current and voltage sensor for real-time monitoring of the energy consumption parameters of the solar lamp; and a temperature sensor for monitoring the operating temperature of the lamp to prevent overheating and damage.

[0099] Example 3:

[0100] Based on the above embodiments, in order to further explain the technical solutions clearly and completely, the present invention also provides a fourth embodiment. Figures 3 and 4 As shown, this fourth embodiment combines the above-mentioned first and second embodiments to provide an example of an application scenario of the present invention, which is specifically as follows:

[0101] The lighting request can be transmitted based on a Bluetooth connection; accordingly, the sensor can be a Bluetooth signal sensor. Figure 3 For example, when user Y sends a lighting request, sensors A, B, and C receive the lighting request and determine the approximate location of user Y based on the strength of the Bluetooth signal.

[0102] Each Bluetooth signal sensor is responsible for managing multiple solar lights in its vicinity. Figure 3 For example, sensor A is responsible for controlling solar lamp 1 and solar lamp 2, sensor B is responsible for controlling solar lamp 3 and solar lamp 4, and sensor C is responsible for controlling solar lamp 5, solar lamp 6, and solar lamp 7.

[0103] Assuming that sensor B has the strongest Bluetooth signal, sensor B can arbitrarily select any two solar-powered lamps under its control (the first prompt solar-powered lamp and the second prompt solar-powered lamp) to issue a lighting prompt. The lighting prompt information can include the first prompt solar-powered lamp and the second prompt solar-powered lamp flashing multiple times at different first and second frequencies, respectively.

[0104] On the mobile terminal of user Y, the interface of lighting selection information can be as follows Figure 2 Assuming that solar lamp 14 and solar lamp 15 are the first and second prompt solar lamps, the user can manually select the solar lamp they want to illuminate based on this on the button selection end; if there are too many solar lamps to illuminate, the user can also directly enter the middle number and quantity of the solar lamps on the number selection end.

[0105] It is understood that the middle number of the solar lamps refers to the middle number of the solar lamps that the user wants to select for lighting. For example, if the user wants to select 9 solar lamps from 21 to 29, then the middle number may be 25.

[0106] Example 4:

[0107] In a certain seaside camping area, three types of user needs exist simultaneously at night:

[0108] User Group A (3 people): Parent-child activities are held in the middle of the beach, and a focused lighting mode is required to ensure children's safety. At the same time, because the activities include insect observation, the spectrum is required to filter blue light below 400nm (for insect prevention).

[0109] User Group B (2 people): They are doing star photography on the west side of the beach. They need a low-light mode to avoid interference from strong light, and they also need to enhance the spectrum above 650nm (to reduce the impact of light pollution on astronomical observations).

[0110] User group C (1 person): Reading at night on the east side of the beach, requiring focused lighting mode, without special spectrum requirements.

[0111] The three types of users simultaneously send lighting requests to the system through the mobile terminal, and all select light group 3 and light group 4 under the control of shared sensor B (such as Figure 3 As shown, sensor B's jurisdiction includes light groups 3 and 4. At this time, the system detects the following conflicts:

[0112] Light group resource conflict: Light groups 3 and 4 are applied for use by multiple users at the same time.

[0113] Spectrum customization conflict: The spectral requirements of user A and user B are significantly different, and the spectral adjustable LED resources are limited, making it impossible to simultaneously meet both sets of spectral parameters.

[0114] Technical solution implementation steps

[0115] Step 1: User request reception and location determination (S100-S200)

[0116] User input request:

[0117] Group A submits a request through a mobile terminal, which includes an identity (A1-A3), a timestamp (20:00:00), and preset parameters (accent lighting mode, spectral filtering <400nm blue light).

[0118] Group B submits a request, which includes identity identifiers (B1-B2), timestamp (20:00:05), and preset parameters (ambient low-light mode, spectrum enhancement 650-700nm).

[0119] Individual C submits a request, which includes an identity (C1), a timestamp (20:00:10), and preset parameters (accent lighting mode, default spectrum).

[0120] Sensor network response:

[0121] Sensors A, B, and C all receive the request and calculate the user's location based on the Bluetooth signal strength (RSSI). Taking user A as an example, sensor B measures RSSI = -50dBm. Given a reference signal strength of A = -40dBm and an environmental attenuation factor of n = 2, the following formula is used:

[0122] ;

[0123] Determine that user A is in the jurisdiction of sensor B (a circular area with a radius of 5 meters and a 25% overlap rate of adjacent areas, which meets the preset rules). Sensor B triggers light groups 3 and 4 to enter the interactive state, and controls the light groups to flash at different frequencies through FSK modulation technology (the frequency of light group 3 is 25%). , light group 4 frequency ), and render a heat map including the location of the light groups on the mobile terminal.

[0124] Step 2: Select candidate light groups and specify modes (S300-S400)

[0125] Lighting prompts and visual interface:

[0126] Sensor B generates a list of candidate light groups (light groups 3 and 4), and uses light signals to feedback location identifiers (for example, the flashing frequency of light group 3 corresponds to address code k=1, and light group 4 corresponds to k=2). At the same time, a heat map is displayed on the mobile terminal, annotating the light group density (rendered using Gaussian kernel density estimation, the formula is as follows):

[0127] ;

[0128] Among them, the user coordinates is the position of sensor B, the coordinates of the light group 、 Distributed in Around, bandwidth parameters =1, the calculated thermal value of the area where lamp groups 3 and 4 are located is higher, prompting the user to give priority to it.

[0129] User selection and mode specification:

[0130] Group A selects light groups 3 and 4, specifying the accent lighting + insect-proof spectrum mode; group B selects light group 3, specifying the ambient light + long-wave enhancement mode; individual C selects light group 4, specifying the accent lighting + default spectrum mode.

[0131] The system detects that light group 3 is shared by A and B, and light group 4 is shared by A and C, triggering the multi-user cost sharing mechanism (Shapley value method) and spectrum conflict arbitration mechanism (priority scheduling algorithm).

[0132] Step 3: Energy Consumption-Benefit Model Calculation and Cost Allocation (S400 - Multi-User Scenario)

[0133] Energy consumption-benefit model application:

[0134] The system constructs an objective function based on game theory to optimize the power distribution of the lighting groups:

[0135] ;

[0136] Constraint: Total power , (set to 200W), minimum illumination ≥20lux.

[0137] Light group 3 must also meet the requirements of group A (accent lighting, x, ) and group B (ambient twilight, x, ), using time-sharing multiplexing technology to allocate working hours: Group A uses the time period 20:00-21:00 ), Group B usage period 21:00-22:00 ).

[0138] Light group 4 must also meet the requirements of group A (accent lighting, x, and group B (ambient twilight, x, ), because the modes are the same, the combined power is P4=80W (under the total power limit, P3=60W, P4=80W, +P4=140W<200W).

[0139] Shapley value method to calculate cost sharing:

[0140] Taking lamp group 3 as an example, the total revenue .

[0141] The profit of group A using light group 3 alone , the benefit of group B using it alone .

[0142] Calculate the Shapley value of population A: ;

[0143] After simplification, , that is, group A bears 50% of the cost and group B bears 50% of the cost.

[0144] Step 4: Dynamic Spectrum Adaptation and Conflict Arbitration (S400-Spectrum Conflict Scenario)

[0145] Spectrum customization request processing:

[0146] The insect-proof spectrum of group A needs to filter out blue light <400nm, corresponding to the preset spectrum template T1 (peak wavelength 580nm, blue light band intensity <10%); the long-wave enhanced spectrum of group B needs to be enhanced 650-700nm, corresponding to template T2 (peak wavelength 680nm, red light band intensity >60%).

[0147] The system generates the target spectrum curve P(λ) through the combination of adjustable spectrum LEDs and calculates the matching degree with the template:

[0148] ;

[0149] The matching degree of the initially generated spectrum for T1 is M1=0.92, and the matching degree for T2 is M2=0.88, both meeting the threshold (M≥0.8). However, the LED resource can only support single spectrum output.

[0150] Priority scheduling algorithm arbitration:

[0151] According to the formula: ;

[0152] Setting weights =0.4 (waiting time), =0.3 (spectral scarcity), =0.3 (credibility level). Group A waiting time Minutes (first request), spectral scarcity (Insect repellent spectrum is a commonly used template), credit rating Historical evaluation); waiting time of group B Minutes, spectral scarcity Long-wave enhanced spectrum as a special template), credit rating .

[0153] Calculated: ;

[0154] ;

[0155] because > , the system prioritizes satisfying the spectrum request of group B, group A switches to the default spectrum (no blue light filtering), and records the conflict log for subsequent optimization.

[0156] Step 5: Real-time monitoring and energy-saving switching (S500)

[0157] Working status monitoring:

[0158] The current and voltage sensors monitor the energy consumption of the lamp groups in real time and discover that the power of lamp group 3 suddenly increases to 70W (exceeding the preset 60W) during the usage period of group B (21:00-22:00), triggering an abnormal alarm. The temperature sensor detects that the temperature of lamp group 4 reaches 65°C (exceeding the safety threshold of 60°C). The system automatically reduces the power to 50W and adjusts the spectral output error through the PID algorithm (error e(t) = |actual spectrum - target spectrum|, PID controller parameters , , ).

[0159] Request termination and power saving mode:

[0160] Group A terminates the request at 21:00, and the system immediately switches light groups 3 and 4 to the initial energy-saving mode (power 10W, ambient low light mode) until a new request is triggered.

[0161] Embodiment 5:

[0162] Based on the same general inventive concept, the present invention also provides a coastal camping solar light dynamic management system, which includes:

[0163] Mobile terminal interaction module, used to generate lighting requests, display lighting selection information and user operation input;

[0164] A sensor network module, comprising the multimodal sensor described in the preceding embodiment, for environmental perception and data collection;

[0165] A central processing module, configured to execute the steps of the dynamic management method described in the aforementioned embodiment, comprising a position calculation unit, a mode control unit, an energy consumption management unit, and a spectrum adaptation unit;

[0166] The solar lamp module includes an LED light source with adjustable power, a spectrum modulation component and a wireless communication module.

[0167] Example 6:

[0168] Based on the same general inventive concept, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for dynamically managing coastal camping solar lights as described in the aforementioned embodiment.

[0169] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0170] Additionally, the terms "system" and "network" are often used interchangeably. The term "and / or" is simply used to describe a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " generally indicates an "or" relationship between the related objects.

[0171] It should be understood that in the embodiments of the present invention, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B based solely on A; B can also be determined based on A and / or other information.

[0172] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0173] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0174] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0175] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0176] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0177] From the above description of the embodiments, it will be apparent to those skilled in the art that the present invention can be implemented using hardware, firmware, or a combination thereof. When implemented using software, the aforementioned functionality may be stored in a computer-readable medium or transmitted as one or more instructions or codes on the computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media includes any medium that facilitates the transfer of computer programs from one location to another. Storage media can be any available medium that can be accessed by a computer. By way of example and not limitation, computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. Furthermore, any suitable connection may constitute a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium. As used herein, the terms "disk" and "disc" include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), floppy disks, and Blu-ray discs. Disks typically reproduce data magnetically, while discs use lasers to reproduce data optically. Combinations of the above should also be included within the scope of protection for computer-readable media.

[0178] In short, the above description is only a preferred embodiment of the technical solution of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.

Claims

1. A dynamic management method for coastal camping solar lights, characterized in that: The following steps are involved: S100: A user sends a lighting request to a solar lamp management system via a mobile terminal, wherein the lighting request includes at least a user identity, a request timestamp, and preset lighting parameters; S200: A sensor network distributed in the camping area receives the lighting request, determines the user's real-time location based on a multi-source sensor data fusion algorithm, and triggers the solar lights in the corresponding area to enter an interactive state according to a preset jurisdiction division rule; S300: The sensor network generates lighting prompt information including candidate light groups, and uses optical signal modulation technology to provide the user with feedback on the location identification and working mode options of the candidate light groups, while rendering visual lighting selection information on the mobile terminal interface; S400: The user selects a target solar lamp group and specifies an operating mode based on the lighting prompt information and the visual interface, and the management system dynamically adjusts the operating parameters of the target lamp group according to a preset energy consumption-benefit model; S500, real-time monitoring of the working status and environmental parameters of the target lamp group, and automatically switching to the initial energy-saving mode when an abnormal working condition is detected or a user terminates the request; The energy consumption-benefit model in step S400 is constructed based on game theory, and the objective function is: ； The constraints are: ； in, For the The power of each lamp group, For working hours, The user payment coefficient, is the energy cost coefficient, is the actual illumination, is the minimum illumination threshold, is the upper limit of the total system power, is the total number of lamp groups; The working modes include an ambient light mode and an accent lighting mode.

2. A method for dynamic management of coastal camping solar lights according to claim 1, characterized in that: The multi-source sensor data fusion algorithm in step S200 is specifically as follows: ； in, is the distance between the user and the Bluetooth signal sensor, is the measured signal strength value (dBm), is the signal strength value at a reference distance of 1 meter, is the environmental attenuation factor; The sensor network's jurisdiction division rule is: with each sensor as the center, a circular jurisdiction area is divided according to the signal strength-distance threshold, and the overlapping rate of adjacent areas does not exceed 30%.

3. A method for dynamic management of coastal camping solar lights according to claim 2, characterized in that: In step S300, the optical signal modulation technology adopts FSK modulation, and the candidate light groups encode their identities through different flashing frequencies. The frequency-address mapping relationship is: ； in, is the reference frequency, is the frequency interval, For the light group address code, The maximum number of lights in the area governed by a single sensor; The visual lighting selection information interface includes a spatial position heat map module, which uses the Gaussian kernel density estimation algorithm to render the light group distribution density. The formula is: ； in, is the user coordinate, is the light group coordinate, is the bandwidth parameter, is the Gaussian kernel function.

4. The method for dynamic management of coastal camping solar lights according to claim 1, characterized in that: When multiple users share the same lighting group, the Shapley value method is used to share the cost. The calculation formula is: ； in, For users of the shared expenses, Collection for users The benefits of cooperation, is the total number of users, To include users Any subset of .

5. The method for dynamic management of coastal camping solar lights according to claim 1, characterized in that: It also includes a dynamic spectrum adaptation module, the specific steps are: S410, receiving activity type parameters input by the user, and retrieving a preset spectrum database; S420, generate a target spectrum curve through a spectrum-adjustable LED combination or a switchable filter component , the spectrum matching calculation formula is: ； in, is the standard active spectrum template, is the matching coefficient (0≤M≤1); S430 monitors the spectral output in real time and feeds it back to the closed-loop control system. Error correction uses PID algorithm: ； in, is the spectral error, 、 、 are the proportional, integral, and differential coefficients.

6. A method for dynamic management of coastal camping solar lights according to claim 5, characterized in that: When multiple users apply for spectrum customization at the same time and resources conflict, a priority scheduling algorithm is used for arbitration. The priority calculation formula is: ； in, is the user waiting time weight, is the spectrum scarcity weight, is the user's credit rating weight, + + =1.

7. The method for dynamic management of coastal camping solar lights according to claim 1, characterized in that: The sensor network includes a multimodal sensor, and the multimodal sensor includes at least: Bluetooth signal sensor, used to collect RSSI data of user devices; Ambient light sensor, used to monitor ambient illumination and trigger automatic mode switching; Current and voltage sensors are used to monitor the energy consumption parameters of solar lamps in real time; Temperature sensor, used to monitor the operating temperature of the lamp to prevent overheating damage.

8. A dynamic management system for coastal camping solar lights, applying the method according to any one of claims 1 to 7, characterized in that: include: Mobile terminal interaction module, used to generate lighting requests, display lighting selection information and user operation input; A sensor network module comprising the multimodal sensor of claim 7, for environmental perception and data collection; A central processing module, configured to execute the steps of the dynamic management method according to any one of claims 1 to 7, comprising a position solving unit, a mode control unit, an energy consumption management unit, and a spectrum adaptation unit; The solar lamp module includes an LED light source with adjustable power, a spectrum modulation component and a wireless communication module.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the dynamic management method of coastal camping solar lights according to any one of claims 1 to 7 is implemented.

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