Power supply management method, device and storage medium for garden

Abstract

The present invention relates to the technical field of power supply management, and in particular to a power supply management method, device, and storage medium for gardens. The method comprises: constructing a power generation efficiency index based on the irradiance in front of a photovoltaic module, the irradiance on the back of a photovoltaic module, the temperature of a cell, and the ambient temperature; extracting the cumulative number of charge and discharge cycles, the average depth of discharge, and the charge and discharge rate of an energy storage battery to determine the energy storage battery attenuation coefficient, and issuing an early warning to a user based on the energy storage battery attenuation coefficient; determining an update weight based on soil moisture collected during a statistical period; calculating surface parameters based on the grounding resistance of the energy storage battery and the soil pH collected during a statistical period, and updating the construction process of the energy storage battery attenuation coefficient based on the surface parameters; constructing a dynamic control factor based on the power generation efficiency index, the energy storage battery attenuation coefficient, and the current total load power, and generating a power supply strategy based on the dynamic control factor. The present invention effectively improves the efficiency of power supply management in gardens.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply management, and in particular to a power supply management method, device and storage medium for gardens. Background Art

[0002] Existing garden power supply systems mostly use a single photovoltaic power generation monitoring and fixed threshold battery management strategy, which does not fully integrate the back power generation efficiency of bifacial modules, energy storage equipment aging and environmental corrosion factors.

[0003] Traditional power allocation methods rely on static load prioritization and are unable to dynamically respond to fluctuations in power generation efficiency and declining battery health. This is especially true in complex outdoor scenarios, where long-term changes in soil moisture and pH can accelerate the degradation of grounding equipment. Existing technologies lack attenuation compensation mechanisms for these environmental impacts, leading to delayed system maintenance and inefficient energy utilization. Summary of the Invention

[0004] The object of the present invention is to provide a power supply management method, device and storage medium for gardens to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A power supply management method for a garden, comprising:

[0007] Constructing a power generation efficiency index based on the irradiance in front of the photovoltaic module, the irradiance on the back of the photovoltaic module, the cell temperature and the ambient temperature;

[0008] Extract the cumulative number of charge and discharge cycles, average discharge depth and charge and discharge rate of the energy storage battery to determine the energy storage battery attenuation coefficient, and issue an early warning to the user based on the energy storage battery attenuation coefficient;

[0009] The process of calculating the surface parameters based on the ground resistance of the energy storage battery and the soil pH collected during the statistical period, and updating the energy storage battery attenuation coefficient based on the surface parameters;

[0010] A dynamic control factor is constructed based on the power generation efficiency index, the energy storage battery attenuation coefficient and the current total load power, and a power supply strategy is generated based on the dynamic control factor.

[0011] Furthermore, the irradiance Gf in front of the photovoltaic module, the irradiance Gr on the back of the photovoltaic module, the cell temperature Tc and the ambient temperature Ta are fused and analyzed to construct the power generation efficiency index. The expression of the power generation efficiency index is as follows:

[0012] GE=[u1×(Gf+Gr) / Gc-u2×lg[3×(Tc-0.8×Ta) / Td+1]×η;

[0013] Where Gc is the reference irradiance, Td is the reference temperature, η is the string mismatch loss coefficient, u1 is the irradiance weight, u2 is the temperature weight, and u1+u2=1.

[0014] Furthermore, the cumulative number of charge and discharge cycles of the energy storage battery is extracted, recorded as H1, the actual discharge depth of the energy storage battery in the history of N complete charge and discharge cycles is counted, and the average value is recorded as DF1, the charge and discharge rate of the energy storage battery at the i-th sampling point in the statistical period is recorded as Ci, Ci=ai / Q, and the average charge and discharge rate of the energy storage battery at each sampling point in the statistical period is recorded as Cp;

[0015] Wherein, ai is the current value of the i-th sampling point in the statistical period, and Q is the rated capacity of the energy storage battery;

[0016] The expression of the energy storage battery attenuation coefficient is as follows:

[0017] Db=exp(4×H1 / H0-4)×(DF1 / DF0) 1.5 ×(Cp / C0) 0.5 ;

[0018] Where Db is the attenuation coefficient of the energy storage battery, H0 is the reference charge and discharge cycle number, DF0 is the reference discharge depth, and C0 is the reference discharge rate;

[0019] The energy storage battery attenuation coefficient is compared with the attenuation threshold. When the energy storage battery attenuation coefficient is greater than the attenuation threshold, an energy storage battery performance abnormality warning is sent to the user. Otherwise, no energy storage battery performance abnormality warning is sent to the user.

[0020] Furthermore, the soil moisture collected during the statistical period is compared with the humidity threshold, and the duration during which the soil moisture is greater than the humidity threshold during the statistical period is recorded as T1, and the ratio of T1 to the duration of the statistical period is recorded as α. When α is greater than or equal to the preset proportional coefficient α1, the update weight is set to [1+0.1×lg(α-α1+1) / lg2], otherwise, the update weight is set to 1.

[0021] Furthermore, the soil pH collected during the statistical period is compared with the pH threshold, and the duration during which the soil pH is less than the pH threshold during the statistical period is recorded as T2, and the ratio of T2 to the statistical period duration is used as the pH offset coefficient, recorded as Py.

[0022] Furthermore, the ground resistance Ra of the energy storage battery and the pH offset coefficient Py are fused to calculate the surface parameter HE. The expression of HE is:

[0023] HE=w1×ln(3×Rc / Ra+1) / ln4+w2×Py;

[0024] Where w1 is the grounding resistance weight, w2 is the pH weight, w1+w2=1, and Rc is the initial grounding resistance;

[0025] The surface parameter HE is compared with the surface parameter threshold h0. When HE is greater than h0, the energy storage battery attenuation coefficient is updated to Db1, Db1=Db×(1+updated weight×γ×HE), where γ is the correction factor. Otherwise, the energy storage battery attenuation coefficient is not updated.

[0026] Furthermore, the power generation efficiency index GE and the energy storage battery attenuation coefficient are fused to construct a dynamic control factor Kp. The expression of Kp is: Kp=GE / [1+ln(1+energy storage battery attenuation coefficient)]×power factor.

[0027] Furthermore, the control factor Kp is compared with the control thresholds s1 and s2. When Kp is greater than or equal to s2, the monitoring system, landscape lights and irrigation pumps are operated at full power. When Kp is greater than or equal to s1 and less than s2, the monitoring system is operated at full power, the landscape lights are adjusted to 50% of the rated brightness, and the power supply to the irrigation pump is disconnected; when Kp is less than or equal to s1, only the lowest power consumption mode of the monitoring system is maintained, and the power supply to the irrigation pump and landscape lights is disconnected.

[0028] According to another aspect of the present application, there is provided a power supply management device for a garden, comprising:

[0029] Photovoltaic analysis unit, used to construct a power generation efficiency index based on the irradiance in front of the photovoltaic module, the irradiance on the back of the photovoltaic module, the cell temperature and the ambient temperature;

[0030] An early warning unit is used to extract the cumulative number of charge and discharge cycles, average discharge depth, and charge and discharge rate of the energy storage battery to determine the energy storage battery attenuation coefficient, and issue an early warning to the user based on the energy storage battery attenuation coefficient;

[0031] A weight determination unit, configured to determine an update weight based on soil moisture collected during a statistical period;

[0032] An updating unit is used to calculate the surface parameters based on the ground resistance of the energy storage battery and the soil pH collected during the statistical period, and to update the construction process of the energy storage battery attenuation coefficient based on the surface parameters;

[0033] The power supply management unit is used to construct a dynamic control factor based on the power generation efficiency index, the energy storage battery attenuation coefficient and the current total load power, and generate a power supply strategy based on the dynamic control factor.

[0034] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program is used to control the electronic device where the computer-readable storage medium is located to execute the power supply management method for gardens during operation.

[0035] The beneficial effects of the present invention are as follows: the overall efficiency of the garden power supply system is optimized through multi-source data fusion and dynamic modeling. A double-sided light irradiation-temperature difference power generation efficiency index is constructed to improve the accuracy of power generation prediction, and a multi-dimensional battery attenuation coefficient is used to achieve early warning of aging risks. The adaptive model correction of the associated soil moisture update weight and surface acid-base-resistance parameters enhances the system's anti-interference ability in complex environments. The hierarchical dynamic control factor generates the optimal power supply strategy based on real-time power generation capacity, energy storage status and load demand, ensuring the continuous operation of key equipment while significantly reducing ineffective energy consumption. This method overall improves the stability and energy utilization efficiency of the system in extreme weather, equipment aging and high corrosion scenarios, extends the service life of the equipment and reduces operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 Schematic diagram of the flow of the power supply management method for gardens according to this embodiment.

[0038] Figure 2 Schematic diagram of the flow of the surface parameter construction method of this embodiment.

[0039] Figure 3 This is a flowchart of the power supply strategy generation method according to this embodiment.

[0040] Figure 4 Schematic diagram of the structure of the power supply management device for gardens according to this embodiment. DETAILED DESCRIPTION

[0041] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the following detailed description is illustrative rather than restrictive and should not be used to limit the scope of protection of the present invention.

[0042] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0043] See also Figure 1 As shown, it is a flow chart of the power supply management method for gardens in this embodiment, including:

[0044] Step S101 : constructing a power generation efficiency index based on the irradiance in front of the photovoltaic module, the irradiance at the back of the photovoltaic module, the cell temperature, and the ambient temperature.

[0045] For example, in this embodiment, the irradiance in front of the photovoltaic module can be collected by a silicon-based photosensor, the irradiance on the back of the photovoltaic module can be collected by the backplane sensor of the bifacial module, the temperature of the cell can be collected by the temperature sensor on the back of the photovoltaic panel, and the temperature of the cell can be collected by the temperature sensor; in this embodiment, no specific limitation is imposed on the method of collecting the above data, and those skilled in the art can freely set it according to their needs.

[0046] Specifically, the irradiance Gf in front of the photovoltaic module, the irradiance Gr on the back of the photovoltaic module, the cell temperature Tc and the ambient temperature Ta are fused and analyzed to construct the power generation efficiency index. The expression of the power generation efficiency index is as follows:

[0047] GE=[u1×(Gf+Gr) / Gc-u2×lg[3×(Tc-0.8×Ta) / Td+1]×η;

[0048] Where Gc is the reference irradiance, Td is the reference temperature, η is the string mismatch loss coefficient, u1 is the irradiance weight, u2 is the temperature weight, and u1+u2=1.

[0049] Specifically, an evaluation model integrating bifacial irradiance and temperature was established to comprehensively capture the environmental characteristics of both the illuminated and back surfaces of PV modules. This model overcomes the limitations of traditional front-side irradiance assessment and significantly improves the accuracy of power generation predictions. By dynamically balancing the nonlinear effects of light intensity and temperature on output power through weighted parameters, the model's adaptability to operating conditions is optimized, reducing prediction bias in extreme weather conditions. Standardized benchmark parameters enhance the model's portability and adaptability to the performance analysis of PV systems of varying sizes.

[0050] For example, in this embodiment, the reference irradiance can be set to 1000 W / m², the reference temperature can be set to 25°C, the string mismatch loss coefficient can be set to 0.97, the irradiance weight can be set to 0.67, and the temperature weight can be set to 0.33. In this embodiment, there is no specific limitation on the setting of the above data, and those skilled in the art can freely set it according to their needs.

[0051] Please continue reading Figure 1 As shown, the power supply management method for gardens also includes:

[0052] Step S102 , extracting the cumulative number of charge and discharge cycles, average discharge depth, and charge and discharge rate of the energy storage battery to determine the energy storage battery attenuation coefficient, and issuing an early warning to the user based on the energy storage battery attenuation coefficient.

[0053] Specifically, the cumulative number of charge and discharge cycles of the energy storage battery is extracted, recorded as H1, the actual discharge depth of the energy storage battery in the history of N complete charge and discharge cycles is counted, and the average value is recorded as DF1, the charge and discharge rate of the energy storage battery at the i-th sampling point in the statistical period is recorded as Ci, Ci=ai / Q, and the average charge and discharge rate of the energy storage battery at each sampling point in the statistical period is recorded as Cp;

[0054] Wherein, ai is the current value of the i-th sampling point in the statistical period, and Q is the rated capacity of the energy storage battery;

[0055] The expression of the energy storage battery attenuation coefficient is as follows:

[0056] Db=exp(4×H1 / H0-4)×(DF1 / DF0) 1.5 ×(Cp / C0) 0.5 ;

[0057] Where Db is the attenuation coefficient of the energy storage battery, H0 is the reference charge and discharge cycle number, DF0 is the reference discharge depth, and C0 is the reference discharge rate;

[0058] The energy storage battery attenuation coefficient is compared with the attenuation threshold. When the energy storage battery attenuation coefficient is greater than the attenuation threshold, an energy storage battery performance abnormality warning is sent to the user. Otherwise, no energy storage battery performance abnormality warning is sent to the user.

[0059] Specifically, a composite degradation model is constructed based on multi-dimensional battery degradation factors (cycle count, depth of discharge, and operating rate) to accurately quantify battery health status, addressing the one-sided nature of single aging metric assessments. Combined with a dynamic threshold judgment mechanism, capacity degradation inflection points are promptly identified to mitigate the risk of over-discharge. Historical BMS data analysis and trend analysis enhance the robustness of aging predictions, providing a reliable basis for maintenance decisions.

[0060] For example, in this embodiment, the cumulative number of charge and discharge cycles can be read through the BMS log, the actual discharge depth of the energy storage battery in the history of N complete charge and discharge cycles can be obtained through the BMS, and the current value of the i-th sampling point in the statistical period and the rated capacity of the energy storage battery can be obtained through BMS current data sampling. In this embodiment, there is no specific limitation on the method of obtaining the above data, and those skilled in the art can freely set it according to needs.

[0061] For example, in this embodiment, the base number of cycles can be set to 3000, the base depth of discharge can be set to 0.8, the base discharge rate can be set to 0.5C, and the attenuation threshold can be set to 0.8. In this embodiment, there is no specific limitation on the setting of the above data, and those skilled in the art can freely set it according to needs.

[0062] Specifically, when calculating the charge and discharge rates of the energy storage battery at each sampling point within a statistical period, this embodiment only performs analysis during the charge and discharge phase. For example, every 10 seconds during the charge and discharge phase of the energy storage battery may be used as a sampling point.

[0063] For example, in this embodiment, the statistical period can be set to the historical 30 days of the current analysis time, and the actual discharge depth of the energy storage battery in the history of N complete charge and discharge cycles is the actual discharge depth of the N complete charge and discharge cycles before the current analysis time, and N can be set to 50; this embodiment does not make specific limitations on the above settings, and those skilled in the art can freely set them according to needs.

[0064] Please continue reading Figure 1 As shown, the power supply management method for gardens also includes:

[0065] Step S103: determining an update weight based on the soil moisture collected during the statistical period.

[0066] Specifically, the soil moisture collected during the statistical period is compared with the humidity threshold, and the duration during which the soil moisture is greater than the humidity threshold during the statistical period is recorded as T1, and the ratio of T1 to the duration of the statistical period is recorded as α. When α is greater than or equal to the preset proportional coefficient α1, the update weight is set to [1+0.1×lg(α-α1+1) / lg2], otherwise, the update weight is set to 1.

[0067] For example, in this embodiment, soil moisture can be collected by a capacitive soil moisture sensor. In this embodiment, the method for collecting soil moisture is not specifically limited, and those skilled in the art can freely set it according to needs.

[0068] For example, in this embodiment, the preset proportional coefficient can be set to 0.2, and the humidity threshold can be set to 80%. In this embodiment, there is no specific limitation on the setting of the preset proportional coefficient and the humidity threshold, and those skilled in the art can freely set them according to needs.

[0069] Specifically, the soil moisture correlation weights are adjusted to enhance the system's responsiveness to high-humidity environments, while maintaining computational stability under low humidity to avoid excessive intervention.

[0070] Please continue reading Figure 1 As shown, the power supply management method for gardens also includes:

[0071] Step S104 is a process of calculating the surface parameters according to the ground resistance of the energy storage battery and the soil pH collected during the statistical period, and updating the construction process of the energy storage battery attenuation coefficient based on the surface parameters.

[0072] For example, in this embodiment, the data can be collected through an intelligent ground resistance online monitor, and the soil pH can be collected through a glass electrode pH meter. In this embodiment, there is no specific limitation on the collection method of the above data, and those skilled in the art can freely set it according to needs.

[0073] See also Figure 2 As shown, the surface parameter construction method includes:

[0074] Step S201: constructing a pH offset coefficient based on soil pH collected during a statistical period.

[0075] Specifically, the soil pH collected during the statistical period is compared with the pH threshold, and the duration during which the soil pH is less than the pH threshold during the statistical period is recorded as T2, and the ratio of T2 to the statistical period duration is used as the pH offset coefficient, recorded as Py.

[0076] Specifically, by analyzing soil pH time series data, we quantify the chronic corrosion effects of chemical reactions on the equipment grounding environment and establish a long-term corrosion risk early warning mechanism. We also use duration percentages instead of discrete sampling values ​​to reduce the interference of transient abnormal fluctuations and reflect the cumulative effects of corrosion.

[0077] Please continue reading Figure 2 As shown, the surface parameter construction method further includes:

[0078] Step S202 is a process of calculating the ground parameters according to the ground resistance and pH deviation coefficient of the energy storage battery, and updating the attenuation coefficient of the energy storage battery based on the ground parameters.

[0079] Specifically, the ground resistance Ra of the energy storage battery and the pH offset coefficient Py are fused to calculate the surface parameter HE. The expression of HE is:

[0080] HE=w1×ln(3×Rc / Ra+1) / ln4+w2×Py;

[0081] Where w1 is the grounding resistance weight, w2 is the pH weight, w1+w2=1, and Rc is the initial grounding resistance;

[0082] The surface parameter HE is compared with the surface parameter threshold h0. When HE is greater than h0, the energy storage battery attenuation coefficient is updated to Db1, Db1=Db×(1+updated weight×γ×HE), where γ is the correction factor. Otherwise, the energy storage battery attenuation coefficient is not updated.

[0083] For example, in this embodiment, the ground resistance weight can be set to 0.6, the pH weight can be set to 0.4, the surface parameter threshold can be set to 0.67, the correction factor can be set to 0.12 in summer, the correction factor can be set to 0.08 in winter, and the correction factor can be set to 0.1 in spring and autumn; this embodiment does not specifically limit the values ​​of the above data, and those skilled in the art can freely set them according to their needs.

[0084] Specifically, the ground resistance change and acid-base corrosion coefficient are integrated to construct comprehensive surface environmental parameters, simultaneously covering the impact of physical connection degradation and chemical erosion. Differentiated seasonal factors are adjusted to achieve accurate response to the degree of corrosion in winter and summer, thereby enhancing the temporal and spatial adaptability of the model.

[0085] Please continue reading Figure 1 As shown, the power supply management method for gardens also includes:

[0086] Step S105 , constructing a dynamic control factor based on the power generation efficiency index, the energy storage battery attenuation coefficient and the current total load power, and generating a power supply strategy according to the dynamic control factor.

[0087] For example, in this embodiment, the current total load power can be collected in real time through the smart meter; this embodiment does not specifically limit the data collection method, and those skilled in the art can freely set it according to needs.

[0088] See also Figure 3 As shown, the power supply strategy generation method includes:

[0089] Step S301 : constructing a dynamic control factor based on the power generation efficiency index, the energy storage battery attenuation coefficient, and the current total load power.

[0090] Specifically, the power generation efficiency index GE and the energy storage battery attenuation coefficient are fused to construct the dynamic control factor Kp. The expression of Kp is: Kp=GE / [1+ln(1+energy storage battery attenuation coefficient)]×power factor;

[0091] If the ratio of Pa to Pe is less than or equal to 1, the power factor is [1-0.3×(Pa / Pe)]; if the ratio of Pa to Pe is greater than 1 and less than or equal to 1.2, the power factor is 0.7×{1-[(Pa / Pe-1) / 0.2] 2 If the ratio of Pa to Pe is greater than 1.2, the power factor is 0, where Pa is the current total load power and Pe is the rated supply power.

[0092] Specifically, a multi-dimensional linkage control mechanism is established by combining power generation capacity, battery status and real-time load demand. The segmented power factor design constrains the resource allocation priority under overload conditions to ensure stable power supply for core loads. A logarithmic compensation algorithm is introduced to eliminate the impact of equipment aging on the deviation of the control strategy and achieve a dynamic balance between supply and demand.

[0093] Please continue reading Figure 3 As shown, the power supply strategy generation method further includes:

[0094] Step S302: generating a power supply strategy according to the dynamic control factor.

[0095] Specifically, the control factor Kp is compared with the control thresholds s1 and s2. When Kp is greater than or equal to s2, the monitoring system, landscape lights and irrigation pumps are operated at full power. When Kp is greater than or equal to s1 and less than s2, the monitoring system is operated at full power, the landscape lights are adjusted to 50% of the rated brightness, and the power supply to the irrigation pump is disconnected; when Kp is less than or equal to s1, only the lowest power consumption mode of the monitoring system is maintained, and the power supply to the irrigation pump and landscape lights is disconnected.

[0096] For example, in this embodiment, s1 can be set to 0.35, and s2 can be set to 0.65. In this embodiment, no specific limitation is imposed on the above values, and those skilled in the art can freely set them according to their needs.

[0097] Specifically, load operation modes are divided through multi-level thresholds, key functions such as security monitoring are prioritized when power generation is limited, the intensity of landscape lighting is flexibly adjusted and non-essential loads such as irrigation are intelligently cut off, optimizing the maximum utility of limited energy. The hierarchical protection mechanism effectively avoids system overload and collapse, improving operational stability and equipment safety under extreme working conditions.

[0098] See also Figure 4 As shown, the power supply management device for gardens includes:

[0099] Photovoltaic analysis unit, used to construct a power generation efficiency index based on the irradiance in front of the photovoltaic module, the irradiance on the back of the photovoltaic module, the cell temperature and the ambient temperature;

[0100] An early warning unit is used to extract the cumulative number of charge and discharge cycles, average discharge depth, and charge and discharge rate of the energy storage battery to determine the energy storage battery attenuation coefficient, and issue an early warning to the user based on the energy storage battery attenuation coefficient;

[0101] A weight determination unit, configured to determine an update weight based on soil moisture collected during a statistical period;

[0102] An updating unit is used to calculate the surface parameters based on the ground resistance of the energy storage battery and the soil pH collected during the statistical period, and to update the construction process of the energy storage battery attenuation coefficient based on the surface parameters;

[0103] The power supply management unit is used to construct a dynamic control factor based on the power generation efficiency index, the energy storage battery attenuation coefficient and the current total load power, and generate a power supply strategy based on the dynamic control factor.

[0104] The power supply management device for gardens provided in the embodiments of the present application can execute the power supply management method for gardens provided in any embodiment of the present application and has the functional modules and beneficial effects corresponding to the execution method.

[0105] The present application also provides a computer-readable storage medium, which is a tangible physical storage medium that can store the above-mentioned computer program and various types of data used in the program; the physical storage medium includes but is not limited to existing physical storage media such as random access memory, read-only memory, optical disk, hard disk, or a combination of media.

[0106] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing information (such as a computer-readable program, a data structure, a program module, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable programs, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0107] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in this field, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the implementation methods here. All obvious changes or modifications derived from the technical solution of the present invention are still within the scope of protection of the present invention.

Claims

1. A power supply management method for a garden, characterized in that: include: Constructing a power generation efficiency index based on the irradiance in front of the photovoltaic module, the irradiance on the back of the photovoltaic module, the cell temperature and the ambient temperature; Extract the cumulative number of charge and discharge cycles, average discharge depth and charge and discharge rate of the energy storage battery to determine the energy storage battery attenuation coefficient, and issue an early warning to the user based on the energy storage battery attenuation coefficient; The process of calculating the surface parameters based on the ground resistance of the energy storage battery and the soil pH collected during the statistical period, and updating the energy storage battery attenuation coefficient based on the surface parameters; A dynamic control factor is constructed based on the power generation efficiency index, the energy storage battery attenuation coefficient and the current total load power, and a power supply strategy is generated based on the dynamic control factor; The irradiance Gf in front of the photovoltaic module, the irradiance Gr on the back of the photovoltaic module, the cell temperature Tc and the ambient temperature Ta are fused and analyzed to construct the power generation efficiency index. The expression of the power generation efficiency index is as follows: GE=[u1×(Gf+Gr) / Gc-u2×lg[3×(Tc-0.8×Ta) / Td+1]×η; Where Gc is the reference irradiance, Td is the reference temperature, η is the string mismatch loss coefficient, u1 is the irradiance weight, u2 is the temperature weight, and u1+u2=1.

2. The power supply management method for gardens according to claim 1, characterized in that: Extract the cumulative number of charge and discharge cycles of the energy storage battery, recorded as H1, count the actual discharge depth of the energy storage battery in the history of N complete charge and discharge cycles, and record their average value as DF1, record the charge and discharge rate of the energy storage battery at the i-th sampling point within the statistical period as Ci, Ci = ai / Q, and record the average charge and discharge rate of the energy storage battery at each sampling point within the statistical period as Cp; Wherein, ai is the current value of the i-th sampling point in the statistical period, and Q is the rated capacity of the energy storage battery; The expression of the energy storage battery attenuation coefficient is as follows: Db=exp(4×H1 / H0-4)×(DF1 / DF0) 1.5 ×(Cp / C0) 0.5 ; Where Db is the attenuation coefficient of the energy storage battery, H0 is the reference charge and discharge cycle number, DF0 is the reference discharge depth, and C0 is the reference discharge rate; The energy storage battery attenuation coefficient is compared with the attenuation threshold. When the energy storage battery attenuation coefficient is greater than the attenuation threshold, an energy storage battery performance abnormality warning is sent to the user. Otherwise, no energy storage battery performance abnormality warning is sent to the user.

3. The power supply management method for gardens according to claim 2, characterized in that: The soil moisture collected during the statistical period is compared with the humidity threshold, and the duration during which the soil moisture is greater than the humidity threshold during the statistical period is recorded as T1, and the ratio of T1 to the duration of the statistical period is recorded as α. When α is greater than or equal to the preset proportional coefficient α1, the update weight is set to [1+0.1×lg(α-α1+1) / lg2], otherwise, the update weight is set to 1.

4. The power supply management method for gardens according to claim 3, characterized in that: The soil pH collected during the statistical period is compared with the pH threshold, and the duration during which the soil pH is less than the pH threshold during the statistical period is recorded as T2. The ratio of T2 to the statistical period duration is used as the pH offset coefficient, recorded as Py.

5. The power supply management method for gardens according to claim 4, characterized in that: The ground resistance Ra of the energy storage battery and the pH offset coefficient Py are fused to calculate the surface parameter HE. The expression of HE is: HE=w1×ln(3×Rc / Ra+1) / ln4+w2×Py; Where w1 is the grounding resistance weight, w2 is the pH weight, w1+w2=1, and Rc is the initial grounding resistance; The surface parameter HE is compared with the surface parameter threshold h0. When HE is greater than h0, the energy storage battery attenuation coefficient is updated to Db1, Db1=Db×(1+updated weight×γ×HE), where γ is the correction factor. Otherwise, the energy storage battery attenuation coefficient is not updated.

6. The power supply management method for gardens according to claim 5, characterized in that: The power generation efficiency index GE and the energy storage battery attenuation coefficient are fused to construct the dynamic control factor Kp. The expression of Kp is: Kp=GE / [1+ln(1+energy storage battery attenuation coefficient)]×power factor.

7. The power supply management method for gardens according to claim 6, characterized in that: Compare the control factor Kp with the control thresholds s1 and s2. When Kp is greater than or equal to s2, run the monitoring system, landscape lights, and irrigation pumps at full power. When Kp is greater than or equal to s1 and less than s2, run the monitoring system at full power, adjust the landscape lights to 50% of the rated brightness, and disconnect the irrigation pump from power. When Kp is less than or equal to s1, only the lowest power consumption mode of the monitoring system is maintained, and the power supply to the irrigation pump and landscape lights is disconnected.

8. A power supply management device for a garden, applied to the power supply management method for a garden as claimed in claim 1, characterized in that: include: Photovoltaic analysis unit, used to construct a power generation efficiency index based on the irradiance in front of the photovoltaic module, the irradiance on the back of the photovoltaic module, the cell temperature and the ambient temperature; An early warning unit is used to extract the cumulative number of charge and discharge cycles, average discharge depth, and charge and discharge rate of the energy storage battery to determine the energy storage battery attenuation coefficient, and issue an early warning to the user based on the energy storage battery attenuation coefficient; A weight determination unit, configured to determine an update weight based on soil moisture collected during a statistical period; An updating unit is used to calculate the surface parameters based on the ground resistance of the energy storage battery and the soil pH collected during the statistical period, and to update the construction process of the energy storage battery attenuation coefficient based on the surface parameters; The power supply management unit is used to construct a dynamic control factor based on the power generation efficiency index, the energy storage battery attenuation coefficient and the current total load power, and generate a power supply strategy based on the dynamic control factor.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein the computer program is used to control the electronic device where the computer-readable storage medium is located to execute the power supply management method for gardens according to any one of claims 1 to 7 when running.

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