Coast camping solar lamp dynamic management method

Abstract

The invention discloses a coast camping solar lamp dynamic management method, which belongs to the technical field of intelligent lighting systems, and comprises the following steps: a user sends a lighting request containing an identity label, a timestamp and preset parameters through a mobile terminal; the camping area sensor network receives the request, integrates multi-source data to determine the real-time position of the user, and triggers the solar lamps in the corresponding area to enter an interaction state according to a preset rule; the sensor network generates illumination prompt information containing a candidate lamp group, and feeds back a position identifier and a working mode option through an optical signal and a mobile terminal; a user selects a target lamp group and specifies a mode, and the management system adjusts working parameters according to an energy consumption-income model; and the working state and the environment parameters are monitored in real time, and the initial energy-saving mode is automatically switched when abnormity occurs or a user terminates a request. According to the method, dynamic management and intelligent regulation and control of the solar lamp in a coast camping scene are realized, and the illumination experience and the energy utilization efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent lighting systems, and specifically refers to a method for dynamically managing solar lights for coastal camping. Background Art

[0002] In coastal camping areas such as tourist attractions and seaside parks, solar camping lights are usually installed for night lighting and landscape decoration. With the enrichment of people's outdoor activities, the demand for intelligent and personalized lighting in camping areas is increasing day by day. The traditional fixed-mode management method of solar lights has been difficult to meet the diverse needs of users, such as temporarily enhancing local illuminance and adjusting the spectrum according to different activity types. In this context, a method and system capable of dynamically managing solar lights are needed to improve lighting efficiency, optimize energy utilization, and enhance the user experience.

[0003] The information disclosed in this background art section is only intended to enhance the overall understanding of the present invention and should not be regarded as an admission or any form of suggestion that this information constitutes prior art already known to those of ordinary skill 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 method for dynamically managing solar lights for coastal camping.

[0005] On the one hand, to solve the above technical problem, the technical solution provided by the present invention is as follows: A method for dynamically managing solar lights for coastal camping, comprising the following steps: S100, the user sends a lighting request to the solar light management system through the mobile terminal, and the lighting request at least includes the user identity identifier, the request timestamp, and the preset lighting parameters; S200, the sensor network distributed in the camping area receives the lighting request, determines the user's real-time position based on the multi-source sensor data fusion algorithm, and triggers the solar lights in the corresponding area to enter the interaction state according to the preset jurisdiction range division rule; S300, the sensor network generates lighting prompt information including the candidate light group, feeds back the position identifier and the working mode option of the candidate light group to the user through the optical signal modulation technology, and renders the visual lighting selection information on the mobile terminal interface at the same time; S400, the user selects the target solar light group and specifies the working mode based on the lighting prompt information and the visual interface, and the management system dynamically adjusts the working parameters of the target light group according to the preset energy consumption-benefit model; S500, the working state and environmental parameters of the target light group are monitored in real time, and when an abnormal working condition or the user terminates the request is detected, it automatically switches to the initial energy-saving mode.

[0006] Optionally, the multi-source sensor data fusion algorithm in the step S200 is specifically: ; Wherein, 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 jurisdiction scope division rule of the sensor network is: taking each sensor as the center, dividing circular jurisdiction areas according to the signal strength-distance threshold, and the overlapping rate of adjacent areas does not exceed 30%.

[0007] Optionally, in the step S300, the optical signal modulation technology adopts the FSK modulation method, and the candidate lamp groups encode the identity identifiers through different flashing frequencies. The frequency-address mapping relationship is: ; wherein, is the reference frequency, is the frequency interval, is the lamp group address code, is the maximum number of lamps in the jurisdiction area of a single sensor; the visual lighting selection information interface includes a spatial position heat map module, and renders the lamp group distribution density through the Gaussian kernel density estimation algorithm. The formula is: ; wherein, is the user coordinate, is the lamp group coordinate, is the bandwidth parameter, is the Gaussian kernel function.

[0008] Optionally, in the step S400, the energy consumption-benefit model is constructed based on game theory, and the objective function is: ; The constraint condition is: ; wherein, is the power of the th lamp group, is the working duration, is the user payment coefficient, is the energy consumption cost coefficient, is the actual illuminance, is the minimum illuminance threshold, is the upper limit of the total system power, is the total number of lamp groups; the working mode includes an ambient low light mode and a key lighting mode.

[0009] Optionally, when multiple users share the same lamp group, the Shapley value method is used for cost sharing, and the calculation formula is: ; Among them, is the sharing cost for the user , is the cooperation income of the user set , is the total number of users, is any subset including the user .

[0010] Optionally, it further includes a dynamic spectrum adaptation module, and the specific steps are as follows: S410. Receive the activity type parameter input by the user and retrieve the preset spectrum database; S420 generates a target spectrum curve through an adjustable spectrum LED combination or a switchable filter component , and the spectrum matching degree calculation formula is: ; Among them, is the standard activity spectrum template, is the matching degree coefficient (0 ≤ M ≤ 1); S430 monitors the spectrum output in real time and feeds it back to the closed-loop control system, and the error correction uses the PID algorithm: ; Among them, is the spectrum error, , , are the proportional, integral, and differential coefficients.

[0011] Optionally, when multiple users apply for spectrum customization simultaneously and there are resource conflicts, a priority scheduling algorithm is used for arbitration, and the priority calculation formula is: ; Among them, is the user waiting time weight, is the spectrum scarcity weight, is the user credit rating weight, + + = 1.

[0012] Optionally, the sensor network includes multi-modal sensors, and the multi-modal sensors at least include: a Bluetooth signal sensor for collecting RSSI data of user devices; an ambient light sensor for monitoring ambient illuminance and triggering automatic mode switching; a current and voltage sensor for real-time monitoring of the energy consumption parameters of solar lights; a temperature sensor for monitoring the working temperature of the lights to prevent overheating damage.

[0013] 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 containing multi-modal sensors for environmental perception and data collection; a central processing module for dynamic management method steps, including a position calculation unit, a mode control unit, an energy consumption management unit, and a spectrum adaptation unit; and a solar light group module containing an adjustable power LED light source, a spectrum modulation component, and a wireless communication module.

[0014] On the other hand, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the dynamic management method of the coastal camping solar lights described above.

[0015] Compared with traditional technologies, the advantages of the present invention are as follows: (1) The present invention sends a lighting request to the solar light management system through the mobile terminal, and users can enjoy customized lighting services according to personal needs. It not only supports preset lighting parameters but also can adjust the working mode in real time, providing a personalized lighting experience.

[0016] (2) The present invention uses a sensor network distributed in the camping area and a multi-source sensor data fusion algorithm to accurately determine the real-time position of the user and quickly trigger the solar lights in the corresponding area to enter the interaction state, improving the response speed and service efficiency.

[0017] (3) The present invention adopts optical signal modulation technology and a visualization interface, and users can intuitively select the target solar light group and its working mode through the spatial position heat map module, enhancing the user experience.

[0018] (4) The energy consumption - revenue model constructed by the present invention based on game theory can dynamically adjust the working parameters of the target light group to ensure energy-saving operation of the system while meeting user needs, reducing operating costs and improving economic benefits.

[0019] (5) The system of the present invention is built-in with a dynamic spectrum adaptation module, which can automatically adjust the lighting conditions according to different activity types, and at the same time uses the PID algorithm for error correction to ensure the stability of the lighting quality and adapt to different usage scenarios.

[0020] (6) When multiple users share the same light group, the present invention uses the Shapley value method for cost sharing to ensure the fairness and reasonableness of cost allocation.

[0021] (7) In the case of multiple users applying for spectrum customization simultaneously and resource conflicts, the present invention arbitrates through a priority scheduling algorithm to reasonably allocate limited lighting resources and improve the overall service efficiency.

[0022] (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 the device status, effectively prevent problems such as overheating damage, and ensure the safe and stable operation of the system. Description of the Drawings

[0023] Figure 1 is the flowchart of the dynamic management method of the coastal camping solar lamp provided by the embodiment of the present invention Figure 1 ; Figure 2 is the flowchart of the dynamic management method of the coastal camping solar lamp provided by the embodiment of the present invention Figure 2 ; Figure 3 is the schematic diagram of the interaction between the street lamp and the user provided by the embodiment of the present invention; Figure 4 is the schematic diagram of the user interaction terminal provided by the embodiment of the present invention. Detailed Embodiments

[0024] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are merely examples of devices consistent with some aspects of the present disclosure as detailed in the appended claims.

[0025] As described above: The traditional fixed-mode solar lamp management method has been difficult to meet the diverse needs of users, such as temporarily enhancing local illumination and adjusting the spectrum according to different activity types. In this context, a method and system capable of dynamically managing solar lamps are needed to improve lighting efficiency, optimize energy utilization, and enhance the user experience.

[0026] In response to this, the present invention provides a dynamic management method, system, and storage medium for coastal camping solar lamps. The above problems are solved. The present invention is solved in the following manner.

[0027] Embodiment 1

[0028] Please refer to the attached specification Figure 1 , as shown in the figure, Embodiment 1 of the present invention provides a dynamic management method for coastal camping solar lamps, including the following steps: S100. The user sends a lighting request to the solar lamp management system through the mobile terminal, and the lighting request at least includes the user identity identifier, the request timestamp, and the preset lighting parameters; The sensor network distributed in the camping area receives the lighting request, determines the user's real-time position based on the multi-source sensor data fusion algorithm, and according to the preset jurisdiction scope division rule, triggers the solar lights in the corresponding area to enter the interaction state; S300. The sensor network generates lighting prompt information including a candidate lamp group, and feeds back the position identifier and working mode options of the candidate lamp group to the user through optical signal modulation technology, and at the same time renders visual lighting selection information on the mobile terminal interface; S400. The user selects the target solar lamp group and specifies the working mode based on the lighting prompt information and the visual interface, and the management system dynamically adjusts the working parameters of the target lamp group according to the preset energy consumption-benefit model; S500. Real-time monitor the working status and environmental parameters of the target lamp group. When an abnormal working condition or a user termination request is detected, automatically switch to the initial energy-saving mode.

[0029] The present invention solves the defects of the prior art by constructing a dynamic management system: the user sends a lighting request including an identity identifier, a timestamp, and preset parameters through the mobile terminal. The sensor network determines the user's real-time position based on the multi-source data fusion algorithm, triggers the solar lights in the corresponding area to enter the interaction state, and at the same time renders visual selection information on the mobile terminal. After the user selects the target lamp group and mode, the management system dynamically adjusts the working parameters, and real-time monitors the working status and environmental parameters. When an abnormality or a user termination request occurs, it automatically switches to the initial energy-saving mode, so as to realize the dynamic response of lighting requirements, the accurate positioning of the position, the flexible interaction of the lamp group, the intelligent adjustment of parameters, and the automatic switching of the energy-saving mode, meet the diverse needs of users, improve the lighting efficiency and energy utilization rate, and enhance the user experience.

[0030] Embodiment 2

[0031] Based on the above embodiment, in order to further clearly and completely explain the technical solution therein, the present invention also provides Embodiment 2. In this Embodiment 2, the multi-source sensor data fusion algorithm in the step S200 is specifically: ; Wherein, 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 jurisdiction scope division rule of the sensor network is: taking each sensor as the center, dividing a circular jurisdiction area according to the signal strength-distance threshold, and the overlapping rate of adjacent areas does not exceed 30%.

[0032] In the second embodiment, in step S300, the optical signal modulation technology adopts the FSK modulation method, and the candidate lamp groups encode the identity identifiers through different flashing frequencies. The frequency-address mapping relationship is: ; Among them, is the reference frequency, is the frequency interval, is the lamp group address code, is the maximum number of lamps in the jurisdiction area of a single sensor; The visual lighting selection information interface includes a spatial position heat map module, which renders the lamp group distribution density through the Gaussian kernel density estimation algorithm. The formula is: ; Among them, is the user coordinate, is the lamp group coordinate, is the bandwidth parameter, is the Gaussian kernel function.

[0033] In the second embodiment, in step S4, the energy consumption-benefit model is constructed based on game theory, and the objective function is: ; The constraint conditions are: ; Among them, is the power of the th lamp group, is the working duration, is the user payment coefficient, is the energy consumption cost coefficient, is the actual illuminance, is the minimum illuminance threshold, is the upper limit of the total system power, is the total number of lamp groups; The working mode includes an ambient low-light mode and a key lighting mode.

[0034] In the second embodiment, in step S400, the energy consumption-benefit model is constructed based on game theory, and the objective function is: ; The constraint conditions are: ; Among them, is the power of the th lamp group, is the working duration, is the user payment coefficient, is the energy consumption cost coefficient, is the actual illuminance, is the minimum illuminance threshold, is the upper limit of the total system power, is the total number of lamp groups; The working mode includes an ambient dim light mode and a key lighting mode.

[0035] In the second embodiment, when multiple users share the same lamp group, the Shapley value method is used for cost sharing, and the calculation formula is: ; Among them, is the user 's shared cost, is the cooperative income of the user set , is the total number of users, is any subset including the user .

[0036] In the second embodiment, between steps S400 and S500, there is also a dynamic spectrum adaptation module, and the specific steps are as follows: S410. Receive the activity type parameter input by the user and retrieve the preset spectrum database; S420. Generate a target spectrum curve through an adjustable spectrum LED combination or a switchable filter component , and the spectrum matching degree calculation formula is: ; Among them, is the standard activity spectrum template, is the matching degree coefficient (0 ≤ M ≤ 1); S430. Monitor the spectrum output in real time and feedback it to the closed-loop control system, and the error correction uses the PID algorithm: ; Among them, is the spectrum error, , , are the proportional, integral, and differential coefficients.

[0037] In the second embodiment, when multiple users apply for spectrum customization simultaneously and there is a resource conflict, a priority scheduling algorithm is used for arbitration, and the priority calculation formula is: ; Among them, is the user waiting time weight, is the spectrum scarcity weight, is the user credit rating weight, + + = 1.

[0038] In the second embodiment, the sensor network includes multi-modal sensors, and the multi-modal sensors at least include: a Bluetooth signal sensor for collecting RSSI data of user equipment; an ambient light sensor for monitoring ambient illuminance and triggering automatic mode switching; a current-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 damage.

[0039] Embodiment Three

[0040] Based on the above embodiments, in order to further clearly and completely explain the technical solutions therein, the present invention also provides Embodiment Four. As Figures 3 to 4 shown, Embodiment Four provides an example for the application scenario of the present invention in combination with the foregoing Embodiment One and Embodiment Two, which is specifically as follows: The lighting request can be transmitted based on a Bluetooth connection; correspondingly, the sensor can be a Bluetooth signal sensor. For Figure 3 example, when user Y issues a lighting request, sensors A, B, and C receive the lighting request. And based on the strength of the Bluetooth signal, the approximate location of user Y is determined.

[0041] Each Bluetooth signal sensor is responsible for managing multiple solar lamps in its vicinity. For Figure 3 example, sensor A is responsible for managing solar lamp 1 and solar lamp 2, sensor B is responsible for managing solar lamp 3 and solar lamp 4, and sensor C is responsible for managing solar lamp 5, solar lamp 6, and solar lamp 7.

[0042] Assume that the Bluetooth signal of sensor B is the strongest. Sensor B can arbitrarily select any 2 solar lamps (the first prompt solar lamp and the second prompt solar lamp) under its management and issue a lighting prompt. Among them, the lighting prompt information can be: the first prompt solar lamp and the second prompt solar lamp flash multiple times at different first frequencies and second frequencies respectively.

[0043] On the mobile terminal of user Y, the interface of the lighting selection information can be as Figure 2 shown. Assume that solar lamp 14 and solar lamp 15 are the first prompt solar lamp and the second prompt solar lamp. Then, at the button selection end, the user can use this as a reference to manually select the solar lamps they want to illuminate; if there are too many solar lamps to be illuminated, the user can also directly enter the middle number and quantity of the solar lamps at the digital selection end.

[0044] It is understandable that the middle number of the solar lamp refers to the middle number of the solar lamps that the user wants to select for illumination. For example: Assume that the user attempts to select 9 solar lamps numbered 21 - 29. Then, the middle number can be 25.

[0045] Example 4

[0046] In a seaside camping area, there are three types of user needs at night: User group A (3 people): Carry out parent-child activities in the middle of the beach, requiring a focused lighting mode to ensure the safety of children. At the same time, because the activity includes an insect observation session, it is required that the spectrum filters out blue light below 400nm (insect prevention requirement).

[0047] User group B (2 people): Conduct starry sky photography on the west side of the beach, requiring an ambient low-light mode to avoid strong light interference. At the same time, it is required that the spectrum be enhanced in the wavelength range above 650nm (to reduce the impact of light pollution on astronomical observations).

[0048] User group C (1 person): Carry out night reading on the east side of the beach, requiring a focused lighting mode, with no special spectrum requirements.

[0049] The three types of users simultaneously send lighting requests to the system through the mobile terminal, and all choose to share the lamp groups 3 and 4 under the jurisdiction of sensor B (as shown in, the jurisdiction range of sensor B includes lamp groups 3 and 4). At this time, the system detects the following conflicts: Figure 2 shown, the jurisdiction range of sensor B includes lamp groups 3 and 4). At this time, the system detects the following conflicts: Lamp group resource conflict: Lamp groups 3 and 4 are simultaneously requested for use by multiple users.

[0050] Spectrum customization conflict: The spectrum requirements of user A and user B are significantly different, and the adjustable spectrum LED resources are limited and cannot meet the two sets of spectrum parameters simultaneously.

[0051] Technical solution execution steps Step 1: User request reception and location positioning (S100 - S200) User input request: Group A submits a request through the mobile terminal, including identity identifiers (A1 - A3), timestamp (20:00:00), and preset parameters (focused lighting mode, spectrum filtering <400nm blue light).

[0052] Group B submits a request, including identity identifiers (B1 - B2), timestamp (20:00:05), and preset parameters (ambient low-light mode, spectrum enhancement 650 - 700nm).

[0053] Individual C submits a request, including identity identifier (C1), timestamp (20:00:10), and preset parameters (focused lighting mode, default spectrum).

[0054] Sensor network response: Sensors A, B, and C all receive the request and calculate the user's location through the Bluetooth signal strength (RSSI). Taking user A as an example, sensor B measures the RSSI = -50 dBm. Given the reference signal strength A = -40 dBm and the environmental attenuation factor n = 2, according to the formula: ; It is determined that user A is located in the jurisdiction area of sensor B (a circular area with a radius of 5 meters centered on the sensor, and the overlapping rate of adjacent areas is 25%, which meets the preset rules). Sensor B triggers lamp groups 3 and 4 to enter the interaction state, and controls the lamp groups to flash at different frequencies through FSK modulation technology (the frequency of lamp group 3 , the frequency of lamp group 4 ), and at the same time renders a heat map containing the positions of the lamp groups on the mobile device.

[0055] Step 2: Candidate Lamp Group Selection and Mode Specification (S300 - S400) Illumination Hint and Visualization Interface: Sensor B generates a list of candidate lamp groups (lamp groups 3 and 4), and feeds back the position identifier through the optical signal (such as the flashing frequency of lamp group 3 corresponding to the address code k = 1, and lamp group 4 corresponding to k = 2). At the same time, a heat map is displayed on the mobile device, and the lamp group density is marked (rendered through Gaussian kernel density estimation, and the formula is as follows): ; Among them, the user coordinate is the position of sensor B, and the lamp group coordinates , are distributed around , the bandwidth parameter = 1, and it is calculated that the heat values in the areas where lamp groups 3 and 4 are located are relatively high, prompting the user to give priority to selection.

[0056] User Selection and Mode Specification: Group A selects lamp groups 3 and 4 and specifies the key lighting + insect - proof spectrum mode; Group B selects lamp group 3 and specifies the ambient dim light + long - wave enhancement mode; Individual C selects lamp group 4 and specifies the key lighting + default spectrum mode.

[0057] The system detects that lamp group 3 is shared by A and B, and lamp group 4 is shared by A and C, and triggers the multi - user cost sharing mechanism (Shapley value method) and the spectrum conflict arbitration mechanism (priority scheduling algorithm).

[0058] Step 3: Energy Consumption - Revenue Model Calculation and Cost Sharing (S400 - Multi - user Scenario) Application of the Energy Consumption - Revenue Model: The system constructs an objective function based on game theory to optimize the power allocation of the lamp groups: ; Constraint: Total power , (set to 200W), minimum illuminance ≥20 lux.

[0059] The lamp group 3 needs to satisfy both Group A (highlight lighting, x, ), and Group B (ambient dim light, x, ). The working hours are allocated through time-division multiplexing technology: the usage period for Group A is 20:00 - 21:00 ), and the usage period for Group B is 21:00 - 22:00 ).

[0060] The lamp group 4 needs to satisfy both Group A (highlight lighting, x, ), and Group B (ambient dim light, x, ). Since the mode is the same, the combined power is P4 = 80W (under the total power limit, P3 = 60W, P4 = 80W, P3 +P4 = 140W < 200W).

[0061] Calculating cost sharing using the Shapley value method: Taking the lamp group 3 as an example, the total revenue .

[0062] The revenue of Group A using the lamp group 3 alone , and the revenue of Group B using it alone .

[0063] Calculating the Shapley value of Group A: ; After simplification, , that is, Group A bears 50% of the cost and Group B bears 50% of the cost.

[0064] Step 4: Dynamic spectrum adaptation and conflict arbitration (S400 - spectrum conflict scenario) Processing of spectrum customization requests: The insect-proof spectrum of Group A needs to filter out blue light below 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 enhance the 650 - 700nm range, corresponding to template T2 (peak wavelength 680nm, red light band intensity > 60%).

[0065] The system generates the target spectral curve P(λ) through an adjustable spectrum LED combination and calculates the matching degree with the template: ; The matching degree M1 of the initially generated spectrum to T1 is 0.92, and the matching degree M2 to T2 is 0.88. Both meet the threshold (M≥0.8), but the LED resources can only support single-spectrum output.

[0066] Priority scheduling algorithm arbitration: According to the formula: ; Set weights =0.4 (waiting time), =0.3 (spectrum scarcity), =0.3 (reputation level). The waiting time of group A minutes (the first to request), spectrum scarcity (the insect-proof spectrum is a common template), reputation level historical evaluation); the waiting time of group B minutes, spectrum scarcity long-wave enhanced spectrum is a special template), reputation level .

[0067] Calculated: ; ; Because > The system preferentially satisfies the spectrum request of group B. Group A switches to the default spectrum (without blue light filtering), and records the conflict log for subsequent optimization.

[0068] Step 5: Real-time monitoring and energy-saving switching (S500) Working state monitoring: The current and voltage sensors monitor the energy consumption of the lamp group in real time. It is found that the power of lamp group 3 surges 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 at the same time adjusts the spectrum output error through the PID algorithm (error e(t)=|actual spectrum - target spectrum|, PID controller parameters , , ).

[0069] Request termination and energy-saving mode: Group A terminates the request at 21:00. The system immediately switches lamp groups 3 and 4 to the initial energy-saving mode (power 10W, ambient dim light mode) until a new request is triggered.

[0070] Example 5

[0071] Based on the same general inventive concept, the present invention also provides a dynamic management system for coastal camping solar lights, which includes: A mobile terminal interaction module, which is used to generate lighting requests, display lighting selection information, and receive user operation inputs; A sensor network module, which includes the multi-modal sensors described in the foregoing embodiments and is used for environmental perception and data collection; A central processing module, which is used to execute the steps of the dynamic management method described in the foregoing embodiments and includes a position calculation unit, a mode control unit, an energy consumption management unit, and a spectrum adaptation unit; A solar light group module, which includes an LED light source with adjustable power, a spectrum modulation component, and a wireless communication module.

[0072] Embodiment Six

[0073] Based on the same general inventive concept, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the dynamic management method for coastal camping solar lights described in the foregoing embodiments.

[0074] It should be understood that in various embodiments of the present invention, the magnitudes of the serial numbers of the above processes do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0075] In addition, the terms "system" and "network" are often used interchangeably in this article. The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the front and back associated objects.

[0076] 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 according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0077] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0078] Those skilled in the art can 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 foregoing method embodiments and will not be elaborated herein.

[0079] In several embodiments provided in the present 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 illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual coupling, direct coupling, or communication connection can be an indirect coupling or communication connection through some interfaces, devices, or units, and can also be in the form of electrical, mechanical, or other connections.

[0080] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.

[0081] In addition, the functional units in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0082] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by firmware, or by a combination thereof. When implemented in software, the above functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. The computer-readable medium includes computer storage media and communication media, where the communication media includes any medium that facilitates the transfer of a computer program from one place to another. The storage media can be any available medium that can be accessed by a computer. By way of example but not limitation: the computer-readable medium can include RAM, ROM, EEPROM, CD-ROM or other optical disc storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer. In addition, any connection can suitably be a computer-readable medium. For example, if the software is transmitted using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wireless technologies such as infrared, radio and microwave from a website, server or other remote source, then the coaxial cable, fiber optic cable, twisted pair, DSL or wireless technologies such as infrared, wireless and microwave are included in the definition of the medium. As used in the present invention, disk and disc include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, where disks generally reproduce data magnetically, while discs reproduce data optically with a laser. The above combinations should also be included within the scope of protection of the computer-readable medium.

[0083] In summary, the above are only the preferred embodiments of the technical solution of the present invention and are not intended to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A dynamic management method for a coastal camping solar lamp, characterized in that, It includes the following steps: S100. The user sends a lighting request to the solar lamp management system through the mobile terminal. The lighting request includes at least the user identity identifier, the request timestamp, and the preset lighting parameters; S200. The sensor network distributed in the camping area receives the lighting request, determines the user's real-time position based on the multi-source sensor data fusion algorithm, and according to the preset jurisdiction scope division rule, triggers the solar lamps in the corresponding area to enter the interaction state; S300. The sensor network generates lighting prompt information including candidate lamp groups, and feeds back the position identifier and working mode options of the candidate lamp groups to the user through the optical signal modulation technology. At the same time, the visual lighting selection information is rendered on the mobile terminal interface; S400. The user selects the target solar lamp group and specifies the working mode based on the lighting prompt information and the visual interface. The management system dynamically adjusts the working parameters of the target lamp group according to the preset energy consumption-benefit model; S500. The working state and environmental parameters of the target lamp group are monitored in real time. When an abnormal working condition is detected or the user terminates the request, it automatically switches to the initial energy-saving mode.

2. The dynamic management method of a coastal camping solar lamp according to claim 1, wherein, In step S200, the multi-source sensor data fusion algorithm is specifically: ； Wherein, 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 jurisdiction scope division rule of the sensor network is: taking 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 dynamic management method for a coastal camping solar lamp according to claim 2, characterized in that, In step S300, the FSK modulation method is adopted for the optical signal modulation technology. The candidate lamp groups encode the identity identifier through different flashing frequencies, and the frequency-address mapping relationship is: ； Among them, is the reference frequency, is the frequency interval, is the address code of the lamp group, is the maximum number of lamps in the jurisdiction area of a single sensor; The visual lighting selection information interface includes a spatial position heat map module, and the distribution density of the lamp groups is rendered through the Gaussian kernel density estimation algorithm. The formula is: ； Among them, is the user coordinate, is the lamp group coordinate, is the bandwidth parameter, is the Gaussian kernel function.

4. A dynamic management method for a coastal camping solar lamp according to claim 1, characterized in that, In step S400, the energy consumption-benefit model is constructed based on game theory, and the objective function is: ； The constraint conditions are: ； Among them, is the power of the th light group, is the working duration, is the user payment coefficient, is the energy consumption cost coefficient, is the actual illuminance, is the minimum illuminance threshold, is the upper limit of the total system power, is the total number of light groups; The working modes include the ambient dim light mode and the key lighting mode.

5. A dynamic management method for a coastal camping solar lamp according to claim 4, characterized in that, When multiple users share the same lamp group, the Shapley value method is used for cost sharing. The calculation formula is: ； Among them, is the sharing cost for the user , is the cooperation income for the user set , is the total number of users is an arbitrary subset including the user .

6. A dynamic management method for a coastal camping solar lamp according to claim 1, characterized in that, It also includes a dynamic spectrum adaptation module. The specific steps are: S410. Receive the activity type parameter input by the user and retrieve the preset spectrum database; S420. Generate a target spectral curve through an adjustable spectral LED combination or a switchable filter component , and the spectral matching degree calculation formula is as follows: ； Among them, is the standard activity spectrum template, is the matching degree coefficient (0 ≤ M ≤ 1); S430. Monitor the spectrum output in real time and feedback it to the closed-loop control system. The error correction adopts the PID algorithm: ； Among them, is the spectral error, , , are the proportional, integral, and derivative coefficients.

7. A dynamic management method for a coastal camping solar lamp according to claim 6, characterized in that, When multiple users apply for spectrum customization simultaneously and there is a resource conflict, the priority scheduling algorithm is used for arbitration. The priority calculation formula is: ； Among them, is the weight of the user waiting time, is the weight of the spectrum scarcity, is the weight of the user credit rating, + + = 1.

8. A dynamic management method for a coastal camping solar lamp according to claim 1, characterized in that The sensor network includes multi-modal sensors. The multi-modal sensors at least include: A Bluetooth signal sensor for collecting the RSSI data of the user device; An ambient light sensor for monitoring the ambient illuminance and triggering automatic mode switching; A current and voltage sensor for monitoring the energy consumption parameters of the solar lamp in real time; A temperature sensor for monitoring the working temperature of the lamp to prevent overheating damage.

9. A dynamic management system for coastal camping solar lights, characterized in that, It includes: A mobile terminal interaction module for generating lighting requests, displaying lighting selection information, and user operation input; A sensor network module, including the multi-modal sensors described in claim 8, for environmental perception and data collection; The central processing module is used to execute the steps of the dynamic management method described in any one of claims 1-7, and includes a position calculation unit, a mode control unit, an energy consumption management unit, and a spectrum adaptation unit; The solar lamp group module includes an LED light source with adjustable power, a spectrum modulation component, and a wireless communication module.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the dynamic management method of the coastal camping solar lamp described in any one of claims 1-7.

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