Water mode control method and device for photovoltaic panel cleaning based on energy efficiency analysis

Abstract

The application discloses a photovoltaic panel cleaning water mode control method and device based on energy efficiency analysis, and relates to the technical field of power generation equipment cleaning. The method comprises the following steps: firstly, based on environmental information and pollution degree, the total water consumption required for cleaning is accurately predicted, so as to estimate the water consumption required for cleaning according to actual cleaning demand, and the collected water quantity which needs to be additionally supplemented from the environment through the condenser is dynamically calculated in combination with the total water storage quantity of the water tank, so that the water resource allocation is matched with the actual demand, the cleaning interruption caused by insufficient water storage is prevented, and the waste caused by excessive water taking is prevented. In addition, the condensing energy consumption and the total water supply energy consumption are considered, and the size relationship between the condensing energy consumption and the total water supply energy consumption and the size relationship between the collected water quantity and the total water storage quantity are considered in the decision-making. In this way, the dependence on external water supply pipelines or water transport vehicles is avoided, and the net energy generated by the photovoltaic panel after cleaning is positive, so that the waste of electric energy is avoided.

Description

Technical Field

[0001] This application relates to the field of power generation equipment cleaning technology, and in particular to a method and apparatus for controlling water usage patterns for photovoltaic panel cleaning based on energy efficiency analysis. Background Technology

[0002] Since photovoltaic panels are exposed to the outdoors for a long time, dust and debris easily accumulate on their surface. In order to avoid dust and debris affecting the power generation efficiency of photovoltaic panels, they need to be cleaned from time to time.

[0003] Currently, besides laying water supply pipes or using water trucks, cleaning photovoltaic panels also involves coating them with a layer that condenses moisture from the air and stores it in a storage chamber. Cleaning is triggered when the condensate level in the chamber reaches a usable level and when there is sufficient electricity generated from the waste heat of the photovoltaic panels. However, relying solely on the availability of stored water to determine when to trigger cleaning can lead to insufficient water or excessive use of stored water during the cleaning process, resulting in an imbalance between cleaning effectiveness, water resource utilization efficiency, and energy consumption.

[0004] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of this application is to provide a method and device for controlling the water usage pattern of photovoltaic panel cleaning based on energy efficiency analysis, which aims to solve the technical problem of not being able to balance cleaning effect, water resource utilization efficiency and energy consumption.

[0006] To achieve the above objectives, this application proposes a photovoltaic panel cleaning water mode control method based on energy efficiency analysis, applied to the controller of a photovoltaic panel washing device. The photovoltaic panel washing device is installed on a group of photovoltaic panels. The condenser in the photovoltaic panel washing device is installed at the end of the photovoltaic panel array away from the ground, and the water distributor / cleaner in the photovoltaic panel washing device is installed at the end of the photovoltaic array closer to the ground. The cleaner is connected to a water tank via a pipe, and a water pump in the water tank is communicatively connected to the condenser. The method includes: The system acquires environmental information and pollution level of the photovoltaic panel, and based on the environmental information and pollution level, predicts the total water consumption required to clean the photovoltaic panel. The environmental information includes time-series environmental temperature, relative humidity, and meteorological data obtained through continuous sampling. Obtain the total water storage capacity of the water tank, and based on the total water consumption and the total water storage capacity, determine the amount of ambient water to be collected by the condenser to condense the environment water in the photovoltaic panel's location for this cleaning. Based on a preset energy consumption prediction model, the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank are predicted in real time. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and the water pump under the current operating conditions. The real-time operating parameters of the condenser and the water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. Based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume, a water usage mode is selected for cleaning the photovoltaic panel. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

[0007] In one embodiment, the step of selecting the water usage mode for cleaning the photovoltaic panels based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume, further includes: Based on the relationship between the condensation energy consumption and the total water supply energy consumption, determine whether to activate the condenser to condense the ambient water. If it is determined that the condenser needs to be activated to condense the ambient water, the activation mode of the condenser is determined based on the relationship between the total water storage and the collected water volume, and the condenser is controlled to condense the ambient water to obtain condensate water, which is then used to clean the photovoltaic panel. If it is determined that the condenser does not need to be used to condense the ambient water, then the photovoltaic panel will be cleaned using the stored condensate in the water tank.

[0008] In one embodiment, the step of determining the activation mode of the condenser based on the relationship between the total stored water volume and the collected water volume includes: Determine the relationship between the total water storage capacity and the collected water volume; When the total water storage capacity is greater than or equal to the collected water volume, the activation mode of the condenser is determined to be the single-start mode of activating the condenser alone. When the total water storage is less than the collected water volume, the activation mode of the condenser is determined to be the joint activation mode of the condenser and the water tank supply.

[0009] In one embodiment, the step of cleaning the photovoltaic panel using the condensate water includes: When the activation mode is single start mode, the condenser is controlled to condense the ambient water in real time to obtain real-time condensed water, and the water distribution cleaner is controlled to use the real-time condensed water to clean the photovoltaic panel. When the activation mode is the common start mode, the condenser is controlled to condense the ambient water in real time to obtain real-time condensate, and water is pumped from the water tank to obtain stored condensate. The water distribution cleaner is controlled to use the real-time condensate and the stored condensate to clean the photovoltaic panel.

[0010] In one embodiment, after determining that the condenser needs to be activated to condense the ambient water, the method further includes: Determine whether the ratio of the condensation energy consumption to the total water supply energy consumption is less than a preset water storage threshold. If the water level is less than the storage threshold, the ambient water condensed by the condenser is stored for use in the next water supply cycle of the water tank.

[0011] In one embodiment, the step of determining whether to activate the condenser to condense the ambient water based on the relationship between the condensation energy consumption and the total water supply energy consumption includes: If the condensation energy consumption is greater than or equal to the total water supply energy consumption, it is determined that the water tank supply is more energy-efficient than the condensation of ambient water, and it is determined that the condenser does not need to be activated to condense the ambient water. If the energy consumption of condensation is less than the total energy consumption of water supply, it is determined that condensing the ambient water is more energy-efficient than water supply from the water tank, and it is determined that the condenser needs to be activated to condense the ambient water.

[0012] In one embodiment, the step of predicting in real time the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank, based on a preset energy consumption prediction model, includes: The ambient temperature and relative humidity of the environment where the photovoltaic panel is located are extracted from the environmental information; the dew point temperature of the environment where the photovoltaic panel is located is dynamically predicted based on the time-series change law of the ambient temperature and relative humidity; the dew point temperature, the collected water volume, the preset energy correction coefficient, and the real-time energy efficiency curve of the condenser in this cleaning process are input into the preset energy consumption prediction model to obtain the condensation energy consumption required to condense the collected water volume. The static head and the pipeline friction head of the pumped condensate stored in the water tank into the water distribution cleaner are determined, and the static head and the pipeline friction head are superimposed to obtain the total water supply head; the total water supply head, the real-time efficiency of the water pump, and the recorded maintenance energy consumption data are input into the energy consumption prediction model to obtain the total water supply energy consumption of the water tank.

[0013] Furthermore, to achieve the above objectives, this application also proposes a photovoltaic panel cleaning water mode control device based on energy efficiency analysis, applied to the controller of a photovoltaic panel washing device. The photovoltaic panel washing device is installed on a set of photovoltaic panels. The condenser in the photovoltaic panel washing device is installed at the end of the photovoltaic panel array away from the ground, and the water distributor in the photovoltaic panel washing device is installed at the end of the photovoltaic array closer to the ground. The distributor is connected to a water tank via a pipe, and the water pump in the water tank is communicatively connected to the condenser. The photovoltaic panel cleaning water mode control device based on energy efficiency analysis includes: The prediction module is used to acquire environmental information and pollution level of the photovoltaic panel, and based on the environmental information and pollution level, predict the total water consumption required to clean the photovoltaic panel. The environmental information includes time-series environmental temperature, relative humidity and meteorological data obtained by continuous sampling. The water volume calculation module is used to obtain the total water storage capacity of the water tank, and based on the total water consumption and the total water storage capacity, determine the amount of environmental water to be collected by the condenser to condense the environment water in the photovoltaic panel's location for this cleaning. The energy consumption calculation module is used to predict in real time the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank, based on a preset energy consumption prediction model. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and the water pump under the current operating conditions. The real-time operating parameters of the condenser and the water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. The selection module is used to select the water usage mode for cleaning the photovoltaic panel based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

[0014] Furthermore, to achieve the above objectives, this application also proposes a photovoltaic panel cleaning water mode control device based on energy efficiency analysis. The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The computer program is configured to implement the steps of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described above.

[0015] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described above.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: First, the total water consumption required for cleaning is accurately predicted based on environmental information and pollution levels. Then, the water consumption is estimated based on actual cleaning needs. Combined with the total water storage in the tank, the additional water collected from the environment via the condenser is dynamically calculated. This ensures that water resource allocation matches actual demand, preventing cleaning interruptions due to insufficient storage or waste due to excessive water extraction. Furthermore, the system considers the relationship between condensation energy consumption and total water supply energy consumption, as well as the relationship between collected water and total storage, while ensuring cleaning needs are met. This involves determining whether to utilize stored condensate in the tank or condensate from the condenser. Finally, the system optimizes the water usage pattern for photovoltaic panel cleaning by combining the total water supply energy consumption of the water pump with the condensation energy consumption of the condenser to avoid imbalances in cleaning effectiveness, water resource utilization efficiency, and energy consumption, thereby improving the cost-effectiveness of photovoltaic panel cleaning. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the installation of a photovoltaic panel washing device and a set of photovoltaic panel arrays according to an embodiment of this application; Figure 2 This is a schematic flowchart of Embodiment 1 of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis provided in this application; Figure 3 This is a schematic flowchart of Embodiment 2 of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis provided in this application; Figure 4 This is a schematic diagram of the process provided in Embodiment 3 of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis of this application; Figure 5 This is a schematic diagram of the unit structure of the photovoltaic panel cleaning water mode control device based on energy efficiency analysis according to an embodiment of this application; Figure 6 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the photovoltaic panel cleaning water mode control method based on energy efficiency analysis in the embodiments of this application.

[0020] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0022] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0023] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a photovoltaic power plant operation and maintenance control center. The following description uses an operation and maintenance control center as an example to illustrate this embodiment and the subsequent embodiments.

[0024] Based on this, this application provides a photovoltaic panel cleaning water mode control method based on energy efficiency analysis, applied to the controller of a photovoltaic panel water washing device, with reference to... Figure 1 The photovoltaic panel washing device is installed on a set of photovoltaic panels. The condenser in the device is installed at the end of the photovoltaic panel array furthest from the ground, while the water distributor is installed at the end of the array closest to the ground. The distributor is connected to a water tank (not shown in the figure) via a pipe. The water pump in the tank is communicatively connected to the condenser. (Refer to...) Figure 2 , Figure 2 This is a schematic flowchart of Embodiment 1 of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis of this application.

[0025] In this embodiment, the photovoltaic panel cleaning water mode control method based on energy efficiency analysis includes steps S10~S40: Step S10: Obtain environmental information and pollution level of the photovoltaic panel, and based on the environmental information and pollution level, predict the total water consumption required to clean the photovoltaic panel. The environmental information includes time-series environmental temperature, relative humidity and meteorological data obtained through continuous sampling. It should be noted that environmental information refers to real-time natural environmental parameters collected at the photovoltaic panel deployment site, including ambient air humidity, ambient temperature, atmospheric water vapor content, ambient wind speed, and on-site air pressure—environmental monitoring data reflecting the on-site water vapor resource reserves. Pollution level is a quantitative indicator used to characterize the degree of pollutant accumulation on the photovoltaic panel surface, and can be obtained through image recognition, light transmittance detection, and power generation loss calculation. Total water consumption is the total volume of water required to complete this photovoltaic panel cleaning task.

[0026] Understandably, predicting the total water consumption required for this cleaning based on environmental information and pollution quantification can accurately match the actual water consumption for decontamination, thus avoiding water waste caused by overestimating water consumption and insufficient water for cleaning or incomplete cleaning caused by underestimating water consumption.

[0027] It is understandable that relative humidity is positively correlated with the saturation of gaseous water in the air, and the higher the saturation of gaseous water, the greater the moisture absorption capacity of dust and salt pollutants on the photovoltaic panel, thereby indirectly changing the adhesion of pollutants on the photovoltaic panel. Therefore, using relative humidity as a predictive factor can accurately identify the changes in the adhesion of pollutants caused by moisture absorption, and adjust the required basic water consumption accordingly based on these changes in adhesion, avoiding the differences in pollutant characteristics caused by ignoring humidity.

[0028] It is understandable that since ambient temperature is positively correlated with the difficulty of liquefaction and condensation of gaseous water, that is, the higher the ambient temperature, the greater the saturated water vapor capacity of the air, the more gaseous water the atmosphere can hold, and the more difficult it is for water vapor to liquefy and condense; the lower the temperature, the more the saturated water vapor capacity of the air drops sharply, and the easier it is for gaseous water to liquefy and condense. Therefore, using ambient temperature as a predictor can improve the accuracy of water consumption prediction under different temperature scenarios.

[0029] It is understandable that since there is a negative correlation between ambient wind speed and the concentration of gaseous water in the environment, and the higher the wind speed, the stronger the air convection, which will accelerate the outward diffusion and dilution of local gaseous water, thereby reducing the local water storage around the photovoltaic panels. In addition, ambient wind will also cause splashing loss of cleaning water and cause the already removed dust to be stirred up again. Therefore, introducing ambient wind speed can quantify the water loss caused by ambient wind and the additional flushing water consumption caused by secondary pollution.

[0030] It is understandable that air pressure changes the density of air molecules, thus affecting the partial pressure of gaseous water in the environment. That is, when the air pressure is high, the air density is high, the space for water vapor molecules to move is limited, and the distribution of water in the environment is more uniform. When the air pressure is low, the air density is low, the partial pressure of water vapor is reduced, and water in the environment is more likely to accumulate or be lost locally, resulting in an uneven distribution of water vapor in the region. Moreover, air pressure fluctuations also change the intensity of atmospheric convection, indirectly affecting the replenishment rate of water in the environment. Therefore, introducing on-site air pressure can be adapted to different altitude / regional scenarios such as plains, plateaus, and coastal areas, thereby correcting the uneven distribution of pollutants on the panel surface and the fluctuation of local water demand caused by air pressure differences, and eliminating the interference of regional air pressure characteristics on water consumption prediction.

[0031] It is understandable that relative humidity, ambient temperature, ambient wind speed, and on-site air pressure are non-independent variables that are mutually constrained and dynamically coupled based on the laws of atmospheric thermodynamics and fluid mechanics. Different combinations of relative humidity, ambient temperature, ambient wind speed, and on-site air pressure will affect the total storage, spatial distribution, migration rate, and phase change conditions of gaseous water in the atmosphere of the photovoltaic area, and change the adhesion characteristics of pollutants on the panel surface, the amount of cleaning water evaporation, and the degree of secondary dust pollution. Therefore, using relative humidity, ambient temperature, ambient wind speed, and on-site air pressure to predict the total water consumption for cleaning photovoltaic panels can improve the accuracy of the prediction.

[0032] In practice, an IoT sensor network deployed around the photovoltaic array collects environmental information such as ambient temperature, relative humidity, and wind speed in real time. Additionally, a monitoring system for the photovoltaic array can be used to acquire image data of the photovoltaic surface, which is then uploaded to the photovoltaic power plant's operation and maintenance control center. The control center uses a pre-defined image recognition model to perform semantic segmentation on the image data, identifying the distribution and severity of pollutants such as dust and debris. Combined with historical cleaning data, the total water consumption required to complete the cleaning task is predicted.

[0033] Understandably, when predicting total water consumption, regional predictions can be made based on the severity and distribution of pollutants to improve the accuracy of the predictions.

[0034] Step S20: Obtain the total water storage capacity of the water tank, and based on the total water consumption and the total water storage capacity, determine the amount of ambient water to be collected by the condenser to condense the environment water in the photovoltaic panel's location for this cleaning. It should be noted that the water tank is a sealed water storage device used to store liquid water obtained from the condensation of ambient water. It has functions such as evaporation prevention, pollution prevention, and pressure stabilization. The total water storage capacity is the total amount of water that can be stored in the tank, that is, the rated total water storage capacity. Ambient water refers to natural environmental gaseous water resources such as gaseous water vapor and free water vapor in the atmosphere surrounding the photovoltaic panels. The collected water volume is the total amount of condensate that needs to be obtained by the condenser in real time to condense the ambient water to complete this photovoltaic panel cleaning.

[0035] Understandably, by comparing the predicted total water consumption with the total water storage capacity of the tank, it can be determined in advance whether the local water source is sufficient to support the cleaning task. If the total water consumption exceeds the total water storage capacity of the tank, the amount of additional water that needs to be collected from the air through the condenser is calculated. Based on this collected water volume, the amount of water that the condenser needs to condense is planned in advance, thereby ensuring that the cleaning operation has a sufficient water source to guarantee the continuity and reliability of the cleaning task.

[0036] In practice, the operation and maintenance control center can read the total water storage capacity of the water tank from the equipment configuration database, and then compare the total water consumption with the total water storage capacity. If the total water consumption is greater than the total water storage capacity, the amount of water to be collected by the condenser is calculated. If the total water consumption is less than or equal to the total water storage capacity, the amount of water to be collected is determined to be zero, indicating that the condenser does not need to be started.

[0037] Specifically, the total water consumption V is first determined based on the identified types and extent of pollutants. 水 Let the total water storage capacity be V. 存 The required collection volume of condensate is ΔV. 水 , that is: m 水 =ΔV 水 ·ρ 水 ; Where, m 水 The mass (kg) of water to be collected by condensation; ΔV 水 ρ is the volume (m³) of water to be collected by condensation; 水 This represents the density of water, expressed in kg / m³.

[0038] Step S30: Based on the preset energy consumption prediction model, predict in real time the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and the water pump under the current operating conditions. The real-time operating parameters of the condenser and the water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. It should be noted that condensation energy consumption is the electrical energy consumed by the condenser in the entire process of producing the corresponding volume of collected water. Total water supply energy consumption is the total electrical energy consumed by the water pump operation and pipeline transportation during the entire process of transporting the condensate stored in the water tank and the real-time condensate to the water distribution and cleaning device.

[0039] Understandably, by establishing an energy consumption prediction model, the condensing energy consumption of the condenser in producing and collecting water can be accurately calculated. Furthermore, by using a fluid dynamics model, the energy consumption for water supply and the energy consumption for pump maintenance throughout the entire process from pumping water from the water tank to the water distributor and cleaner can be calculated. This allows for the determination of the total energy consumption for water supply from pumping water from the water tank to the water distributor and cleaner. Based on the total energy consumption for water supply and the condensing energy consumption, the most energy-efficient water use mode can be selected, avoiding energy waste caused by using the condenser to condense ambient water when the condensing energy consumption exceeds the total energy consumption for water supply.

[0040] Understandably, predicting the condensing energy consumption required for the condenser to collect water and the total water supply energy required for the water tank based on the temporal changes in ambient temperature and relative humidity can eliminate the energy consumption calculation error caused by parameter rigidity from the basic data level, based on the natural evolution of the environment where the photovoltaic panel is located, so that the energy consumption prediction results can be more in line with the actual power consumption.

[0041] In practical implementation, ambient temperature and humidity data can be continuously collected to form a time-series sequence, clarifying the dynamic changes in environmental conditions. Then, pre-calibrated condenser efficiency curves and water pump efficiency curves are retrieved, and interpolation is used to obtain the real-time energy efficiency and operating efficiency of the condenser and water pump under different operating conditions. Using the environmental time-series data and various real-time operating parameters as common inputs, a dynamic energy efficiency ratio model and an energy consumption prediction model are built. The dynamic energy efficiency ratio model quantifies the energy efficiency advantages and disadvantages of condensate water intake and water tank water supply methods, while the energy consumption prediction model calculates the actual power consumption at each time step. Both models share the same input source.

[0042] In practical implementation, the operation and maintenance control center can extract the ambient temperature and relative humidity from the acquired environmental information, and calculate the dew point temperature of the current environment using the Magnus formula. Then, based on this dew point temperature, the amount of water to be collected, and the preset energy correction coefficient of the refrigeration system, it calculates the theoretical cooling capacity required for the condenser to produce that amount of water using thermodynamic formulas, and combines this with the compressor's energy efficiency ratio to finally convert it into condensing energy consumption. At the same time, the operation and maintenance control center calculates the static head and pipe friction loss according to the pipeline layout diagram from the water tank to the water distribution and cleaning device, and superimposes them to obtain the total water supply head. Then, combined with the efficiency curve of the water pump, it calculates the water supply energy consumption for pumping the required amount of water to the nozzles, and adds the maintenance energy consumption of auxiliary equipment such as filter backwashing and pipe antifreeze to obtain the total water supply energy consumption.

[0043] Specifically, the formula for calculating the dew point temperature under normal pressure is: ; ; in, RH is the dew point temperature of the air, which is the temperature of the air when it is cooled to saturation (relative humidity reaches 100%) under constant air pressure; T is the ambient air temperature, in degrees Celsius (°C); RH is the relative humidity, in percentage (%); a is a constant, which can be 17.27; b is a constant, which can be 237.7°C.

[0044] In practice, real-time electricity price data from the local power grid can be accessed to convert physical energy consumption into economic costs. The choice of water usage mode not only considers energy efficiency but also economic efficiency.

[0045] Step S40: Based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume, select the water usage mode for cleaning the photovoltaic panel. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

[0046] It should be noted that the water usage modes include water supply with only water stored in the water tank, water supply with real-time condensation from the condenser, and water supply with a combination of condensate and water stored in the water tank.

[0047] Understandably, when condensate water intake is more energy-efficient than water tank supply, the condenser should be used first; when water tank supply is more energy-efficient than condensate water intake, water tank storage should be used first. At the same time, the condenser activation mode should be refined based on the relationship between the collected water volume and the total water storage capacity of the water tank, so as to ensure that under any environmental conditions, the operation and maintenance control center of the photovoltaic power station can automatically select the optimal water use strategy that can meet the cleaning needs while minimizing energy consumption.

[0048] In practice, if the condensing energy consumption is less than the total water supply energy consumption, it is determined that using the condenser is more energy-efficient; if the total water supply energy consumption is less than the condensing energy consumption, in order to reduce energy consumption, the cleaning requirements can be adjusted according to the total water storage volume to prioritize the use of the water tank for water supply, thereby ensuring a balance between cleaning effect, water resource utilization efficiency and energy consumption.

[0049] In practical implementation, further, when the condensing energy consumption is less than the total water supply energy consumption, the relationship between the collected water volume and the total stored water volume can be determined. That is, if the collected water volume is less than or equal to the total stored water volume, the condenser is started alone, using only the condensate generated in real time for cleaning; if the collected water volume is greater than the total stored water volume, the condenser and water tank are started together, using a mixture of condensate and stored water for cleaning, thereby completing the cleaning task while saving energy.

[0050] This embodiment provides a photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis. First, it accurately predicts the total water consumption required for cleaning based on environmental information and pollution levels. Then, it estimates the water consumption based on actual cleaning needs and dynamically calculates the additional water collected from the environment via the condenser, taking into account the total water storage capacity of the water tank. This ensures that water resource allocation matches actual demand, preventing cleaning interruptions due to insufficient storage or waste due to excessive water extraction. Furthermore, it considers the relationship between condensation energy consumption and total water supply energy consumption, as well as the relationship between collected water and total storage capacity, while simultaneously considering the relationship between condensation energy consumption and total water supply energy consumption, and the relationship between collected water and total storage capacity. In other words, while meeting cleaning requirements, it optimizes the water usage mode for photovoltaic panel cleaning by considering the source of water resources—whether to utilize stored condensate in the water tank or condensate from the condenser—and combining the total water supply energy consumption of the water pump with the condensation energy consumption of the condenser condensing environmental water. This approach avoids imbalances in cleaning effectiveness, water resource utilization efficiency, and energy consumption, improving the cost-effectiveness of photovoltaic panel cleaning.

[0051] Based on Embodiment 1 of this application, in Embodiment 2 of this application, the content that is the same as or similar to that in Embodiment 1 can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 Step S30 also includes steps S01 to S03: Step S01: Based on the relationship between the condensation energy consumption and the total water supply energy consumption, determine whether to activate the condenser to condense the ambient water; Step S02: If it is determined that the condenser needs to be activated to condense the ambient water, the activation mode of the condenser is determined based on the relationship between the total water storage and the collected water volume, and the condenser is controlled to condense the ambient water to obtain condensate water. The condensate water is then used to clean the photovoltaic panel. Step S03: If it is determined that the condenser does not need to be activated to condense the ambient water, then the photovoltaic panel will be cleaned using the stored condensate in the water tank.

[0052] It should be noted that the activation mode refers to the operating mode of the condenser, including a single-start mode that activates the condenser alone, a joint start mode that activates both the condenser and the water tank supply, and a start mode that activates only the water tank supply. The stored condensate is pre-condensed and stored in the water tank, and is backup cleaning water obtained from the condensation treatment of ambient water.

[0053] Understandably, by comparing the energy consumption of condensation with the total energy consumption of water supply, the decision on whether to activate the condenser can be made to prioritize the water supply scheme with lower energy consumption, thereby minimizing energy loss during cleaning operations.

[0054] Understandably, by using the rated total water storage capacity of the water tank as a benchmark and combining the collected water volume with the condenser activation mode, it can flexibly adapt to different cleaning water demand scenarios. This not only ensures sufficient water supply for cleaning and avoids cleaning interruptions, but also makes efficient use of ambient water and the water tank's storage capacity, improving the synergistic efficiency of condensation water production and cleaning operations.

[0055] It is understandable that the total water volume V that the water tank can store is... 存 Based on the core water volume, and combined with energy consumption comparison and water volume matching, intelligent switching between condensate water production and water tank water supply is achieved. This can not only make full use of atmospheric water to save water and reduce costs, but also ensure the energy efficiency and stability of cleaning operations through energy consumption optimization and mode adaptation, thereby improving the environmental adaptability and energy consumption cost-effectiveness of photovoltaic panel washing devices.

[0056] Furthermore, step S02 also includes: Determine the relationship between the total water storage capacity and the collected water volume; When the total water storage capacity is greater than or equal to the collected water volume, the activation mode of the condenser is determined to be the single-start mode of activating the condenser alone. When the total water storage is less than the collected water volume, the activation mode of the condenser is determined to be the joint activation mode of the condenser and the water tank supply.

[0057] It should be noted that the single-start mode is a condenser operation mode in which only the condenser's ambient water is activated to prepare condensate, without activating the water tank supply. The simultaneous-start mode is a condenser operation mode in which both the condenser's ambient water and the water tank supply are activated simultaneously, with both water sources working together to supply cleaning water.

[0058] It is understandable that the total water storage (V) 存 Based on the collection volume, the system accurately classifies the condenser into single-start mode and joint-start mode. This allows for flexible supply of condensate water according to actual water demand, while also controlling equipment operation based on the principle of optimal energy cost. It fully utilizes ambient water and water tank storage resources, thereby improving the energy utilization rate and operational stability of photovoltaic panel washing.

[0059] Understandably, accurately determining the relationship between the total water storage capacity and the collected water volume can provide a direct basis for determining the condenser's operating mode, avoiding insufficient water use or waste of water resources due to incorrect mode selection, and ensuring the accuracy of mode determination.

[0060] In the specific implementation, the control module retrieves the rated total water storage capacity of the water tank, calculates the amount of water to be collected for this cleaning based on the degree of contamination of the photovoltaic panels and the cleaning requirements, and compares the total water storage capacity with the amount of water to be collected to determine the relationship between the two. When the total stored water volume is greater than or equal to the collected water volume, the control module, based on the principle of optimal energy cost, determines that there is no need to activate the water tank supply and sets the condenser's activation mode to single-start mode. The cleaning water demand can be met simply by the condenser condensing ambient water in real time. That is, the energy consumption required for condensation is less than the total energy consumption of pumping water. In this case, condensation is more energy-efficient. Also, since the amount of condensation to be produced is less than or equal to the total stored water volume of the water tank, the water in the water tank will not overflow. Therefore, only condensation is used to save energy. When the total stored water volume is less than the collected water volume, the condenser's activation mode is set to simultaneous-start mode. The condenser is activated simultaneously to condense ambient water and water tank supply to make up for the cleaning water shortage through dual water sources. That is, the energy consumption required for condensation is less than the total energy consumption of pumping water. In this case, condensation is more energy-efficient. Also, since the amount of condensation to be produced is greater than the total stored water volume of the water tank, to avoid water overflow, the water in the water tank and the condensation need to be used together to save energy and avoid water waste.

[0061] Specifically, the joint startup mode: Let the volume V be... 存 The water is lifted to the total head H total The minimum energy consumed is the total energy consumption of water supply. When ΔV 水 >V 存 Furthermore, the environmental and economic benefits of using condensate water are lower than the cost of external water supply, i.e. At this time, a combined cleaning method using condensate water and external water supply is employed, namely: ; The total energy consumption to reduce the surface temperature of the collection device below the dew point temperature is as follows: ; ; ; Wherein, COP is the energy consumption correction factor of the system, and it can be taken as 2 to 5 for mechanical refrigeration; This refers to the efficiency of the cleaning system, with a value ranging from 0.7 to 0.9. This is the maintenance cost, expressed in yuan, and equal to the maintenance cost per unit time. ; This is the unit price of energy, expressed in yuan / J; The mass of the collecting device is expressed in kg. The specific heat capacity of the material in the collecting device is expressed in J / (kg·℃). The latent heat of vaporization of water; This includes adjusting the collection device (such as a metal plate or condenser) from the ambient temperature T to the target dew point temperature. The theoretical energy required and the latent heat released that needs to be removed during the water condensation process; It is the efficiency of the external water supply pump; C e This is the electricity cost of pump operation, expressed in yuan / J, where 1 kWh = 3.6 × 10⁻⁶. 6 J; g is the acceleration due to gravity (9.81 m / s²); static head h is the vertical height difference of the cleaning device; h f The friction head of a horizontal pipe is calculated using the Darcy-Weisbach formula: ; in, y is the length of the horizontal pipe (m); v is the water flow velocity (m / s); D is the inner diameter of the pipe (m); t is the transport... The required time (s); f is the friction factor, which depends on the pipe material and flow rate, and can be a value in the range of 0.01 to 0.03.

[0062] The formula for calculating the energy consumption correction factor (COP) is as follows: ; Where RH0 is the reference humidity under rated operating conditions; COP0 is the energy efficiency ratio under rated operating conditions; β is the temperature effect correction factor; T amb T0 is the current ambient temperature; T0 is the reference temperature under rated operating conditions.

[0063] Furthermore, the stand-alone startup mode is as follows: If and only if Condensate cleaning method shall be used when the environmental and economic benefits of using condensate are lower than the cost of external water supply.

[0064] Furthermore, step S02 can also be: When the activation mode is single start mode, the condenser is controlled to condense the ambient water to obtain real-time condensate, and the water distribution cleaner is controlled to use the real-time condensate to clean the photovoltaic panel. When the activation mode is the common start mode, the condenser is controlled to condense the ambient water in real time to obtain real-time condensate, and water is pumped from the water tank to obtain stored condensate. The water distribution cleaner is controlled to use the real-time condensate and the stored condensate to clean the photovoltaic panel.

[0065] It should be noted that real-time condensate is liquid water generated by the condenser during its immediate operation and can be directly used for cleaning. Pumping water involves a pumping mechanism to deliver the condensate stored in the tank to the water distributor cleaner. The water distributor cleaner is equipped with water distribution, spraying, and scraping structures, which can evenly distribute the condensate onto the surface of the photovoltaic panels and complete the cleaning process.

[0066] Understandably, when the total water storage capacity meets the collection volume, the condenser single-start mode can save the energy consumption of water tank supply and complete the condensation water production at the lowest energy cost. When the total water storage capacity is insufficient, the condenser and water tank supply start-up mode can quickly make up for the cleaning water shortage and avoid cleaning interruption due to insufficient water volume, while taking into account both energy cost and the continuity of cleaning operation.

[0067] In practice, the supply ratio of real-time condensate and stored condensate can be dynamically allocated according to the condensation efficiency corresponding to the real-time ambient temperature and humidity, and low-energy-consumption water sources can be given priority to reduce the overall cleaning energy consumption.

[0068] In practice, the common start-up mode is used in low-temperature environments, which can prioritize the use of stored condensate to reduce the additional energy loss of the condenser during low-temperature condensation and avoid freezing and blockage of the water supply pipeline.

[0069] Furthermore, after determining that the condenser needs to be activated to condense the ambient water, the method further includes: Determine whether the ratio of the condensation energy consumption to the total water supply energy consumption is less than a preset water storage threshold. If the water level is less than the storage threshold, the ambient water condensed by the condenser is stored for use in the next water supply cycle of the water tank.

[0070] It should be noted that the preset energy ratio judgment standard of the preset water storage threshold control module is used to determine whether the energy efficiency of the current condensate water production meets the water storage conditions.

[0071] Understandably, using energy ratio as the core criterion for accurate condensate water storage can fully leverage the advantages of low-energy condensate water production, reserve water sources in advance for the next cleaning, continuously optimize the energy cost of the cleaning system, and improve the water supply stability and environmental adaptability of the photovoltaic panel washing device.

[0072] Understandably, by judging whether the ratio of condensing energy consumption to total water supply energy consumption is less than the preset water storage threshold, the feasibility of water storage operation can be determined by quantitative energy standards, avoiding the extra energy waste caused by blind water storage; and storing the condensate produced by the condenser when the energy threshold condition is met can also reserve the cleaning water for the next water supply in advance, so as to complete the water storage during the low-energy water production window and reduce the energy cost of the next cleaning water supply.

[0073] Specifically, when When needed, activate the condensation unit to store water for the next cleaning cycle.

[0074] Furthermore, step S01 also includes: If the condensation energy consumption is greater than or equal to the total water supply energy consumption, it is determined that the water tank supply is more energy-efficient than the condensation of ambient water, and it is determined that the condenser does not need to be activated to condense the ambient water. If the energy consumption of condensation is less than the total energy consumption of water supply, it is determined that condensing the ambient water is more energy-efficient than water supply from the water tank, and it is determined that the condenser needs to be activated to condense the ambient water.

[0075] Understandably, when condensing energy consumption is greater than or equal to the total water supply energy consumption, fully utilizing pre-stored low-cost water resources avoids starting high-energy-consuming condensers during non-economic periods. This not only saves energy but also reduces mechanical wear on the condensers, thereby lowering the long-term operation and maintenance costs of the photovoltaic power station. Furthermore, this decision-making logic can always select the water intake path with the lowest cost under current conditions to maximize energy utilization efficiency.

[0076] Specifically, when condensation energy consumption is greater than or equal to total water supply energy consumption, At this time, a separate water tank is used for cleaning.

[0077] Based on Embodiments 1 and 2 of this application, the same or similar content in Embodiment 3 of this application can be referred to the above description, and will not be repeated hereafter. Please refer to [the above description]. Figure 4 The predicted increase in photovoltaic panel capacity from the current cleaning to the next cleaning in step S20 also includes steps S1~S2: Step S1: Extract the ambient temperature and relative humidity of the environment where the photovoltaic panel is located from the environmental information; dynamically predict the dew point temperature of the environment where the photovoltaic panel is located based on the temporal variation of the ambient temperature and relative humidity; input the dew point temperature, the collected water volume, the preset energy correction coefficient, and the real-time energy efficiency curve of the condenser during this cleaning process into the preset energy consumption prediction model to obtain the condensing energy consumption required to condense the collected water volume. Step S2: Determine the static head and the pipe friction head of pumping the stored condensate water in the water tank into the water distribution cleaner, and superimpose the static head and the pipe friction head to obtain the total water supply head; input the total water supply head, the real-time efficiency of the water pump, and the recorded maintenance energy consumption data into the energy consumption prediction model to obtain the total energy consumption of the water supply from the water tank.

[0078] It should be noted that ambient temperature refers to the temperature of the air surrounding the photovoltaic panel. Relative humidity is the ratio of the actual partial pressure of water vapor in the air to the saturated partial pressure of water vapor at the same temperature. Dew point temperature is the temperature at which air, under constant pressure, cools to the point of saturation with water vapor and begins to condense into liquid water. The energy correction factor is an empirical coefficient used to correct the difference between theoretical condensation energy consumption and actual equipment operating energy consumption. Static head is the vertical height difference between the pump outlet and the liquid surface in the tank. Pipeline friction head is the energy lost by water flowing through the pipe due to the frictional resistance of the pipe wall, converted into the equivalent liquid column height. Total water supply head is the sum of static head and pipeline friction head, that is, the total energy resistance that the pump must overcome to complete the water supply task. Pump efficiency is the ratio by which the pump effectively converts the input mechanical energy into fluid kinetic and potential energy. Maintenance energy consumption is the electrical energy consumed by the operation of auxiliary equipment related to the water supply system.

[0079] Understandably, by extracting the temporal variation pattern of temperature to determine the dew point temperature, the dew point temperature can be continuously updated along with the natural evolution of the environment in which the photovoltaic panel is located, thus eliminating the measurement deviation of dew point temperature caused by parameter rigidity from the data source. Moreover, since the dew point temperature is the core critical parameter for water vapor liquefaction and condensation, the heat exchange efficiency and cooling power consumption of the condenser will change significantly with the dew point temperature. Therefore, by dynamically predicting the dew point temperature through the temporal pattern of temperature and humidity, the phase change conditions of atmospheric water vapor at different times and under different fluctuation states can be accurately restored, thereby truly reflecting the thermodynamic environment in which the condenser is located and avoiding misjudgment of the condensation working environment caused by using a fixed dew point temperature.

[0080] Understandably, by determining the total energy consumption of water supply by combining the energy consumption of water pumps with the energy consumption of equipment maintenance, decision-making biases caused by ignoring secondary factors can be avoided, thereby further improving the reliability of the overall water use scheduling plan.

[0081] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the photovoltaic panel cleaning water mode control method based on energy efficiency analysis. Any simple modifications based on this technical concept are within the protection scope of this application.

[0082] This application also provides a photovoltaic panel cleaning water mode control device based on energy efficiency analysis. Please refer to [reference needed]. Figure 5 The photovoltaic panel cleaning water mode control device based on energy efficiency analysis includes: The prediction module 10 is used to acquire environmental information and pollution level of the photovoltaic panel, and based on the environmental information and pollution level, predict the total water consumption required to clean the photovoltaic panel. The environmental information includes time-series environmental temperature, relative humidity and meteorological data obtained by continuous sampling. The water volume calculation module 20 is used to obtain the total water storage volume of the water tank, and based on the total water consumption and the total water storage volume, determine the amount of environmental water to be collected by the condenser to condense the environment water in the photovoltaic panel's location for this cleaning. The energy consumption calculation module 30 is used to predict in real time the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank, based on a preset energy consumption prediction model. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and the water pump under the current operating conditions. The real-time operating parameters of the condenser and the water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. Selection module 40 is used to select a water usage mode for cleaning the photovoltaic panel based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

[0083] The photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis provided in this application adopts the photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis in the above embodiments, which can solve the technical problem of not being able to balance cleaning effect, water resource utilization efficiency and energy consumption. Compared with the prior art, the beneficial effects of the photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis provided in this application are the same as the beneficial effects of the photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis provided in the above embodiments, and other technical features in the photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis are the same as the features disclosed in the method of the above embodiments, and will not be repeated here.

[0084] This application provides a photovoltaic panel cleaning water mode control device based on energy efficiency analysis. The photovoltaic panel cleaning water mode control device based on energy efficiency analysis includes: at least one processor; and a memory communicatively connected to at least one processor; wherein the memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor to enable at least one processor to execute the photovoltaic panel cleaning water mode control method based on energy efficiency analysis in the above embodiment 1.

[0085] The following is for reference. Figure 6The diagram illustrates a structural schematic of a photovoltaic panel cleaning water mode control device suitable for implementing the embodiments of this application. The photovoltaic panel cleaning water mode control device based on energy efficiency analysis in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), vehicle terminals (e.g., vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The photovoltaic panel cleaning water mode control device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0086] like Figure 6 As shown, the photovoltaic panel cleaning water mode control device based on energy efficiency analysis may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the photovoltaic panel cleaning water mode control device based on energy efficiency analysis. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the photovoltaic panel cleaning water mode control equipment based on energy efficiency analysis to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a photovoltaic panel cleaning water mode control equipment based on energy efficiency analysis with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0087] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0088] The photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis provided in this application adopts the photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis in the above embodiments, which can solve the technical problem of not being able to balance cleaning effect, water resource utilization efficiency and energy consumption. Compared with the prior art, the beneficial effects of the photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis provided in this application are the same as the beneficial effects of the photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis provided in the above embodiments, and other technical features in the photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis are the same as the features disclosed in the method of the previous embodiment, and will not be repeated here.

[0089] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0090] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0091] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the photovoltaic panel cleaning water mode control method based on energy efficiency analysis in the above embodiments.

[0092] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0093] The aforementioned computer-readable storage medium may be included in the photovoltaic panel cleaning water mode control device based on energy efficiency analysis; or it may exist independently and not assembled into the photovoltaic panel cleaning water mode control device based on energy efficiency analysis.

[0094] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by a photovoltaic panel cleaning water usage mode control device based on energy efficiency analysis, the device causes the following: it acquires environmental information and pollution levels of the photovoltaic panel, and based on this information and pollution levels, predicts the total water consumption required for cleaning the photovoltaic panel. The environmental information includes continuously sampled time-series environmental temperature, relative humidity, and meteorological data; it acquires the total water storage capacity of the water tank, and based on this total water consumption and the total water storage capacity, determines the amount of environmental water to be collected by the condenser to condense the ambient water in the environment where the photovoltaic panel is located for this cleaning; and based on a preset energy consumption prediction model, it predicts the cooling water consumption in real time. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and water pump under the current operating conditions. The real-time operating parameters of the condenser and water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. Based on the relationship between the condensation energy consumption and the total energy consumption of water supply, and the relationship between the collected water volume and the total stored water volume, the water usage mode for cleaning the photovoltaic panel is selected. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

[0095] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0096] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0097] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0098] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis. This method can solve the technical problem of not being able to balance cleaning effect, water resource utilization efficiency, and energy consumption. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the photovoltaic panel cleaning water usage mode control method based on energy efficiency analysis provided in the above embodiments, and will not be repeated here.

[0099] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described above.

[0100] The computer program product provided in this application can solve the technical problem of failing to balance cleaning effect, water resource utilization efficiency, and energy consumption. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis provided in the above embodiments, and will not be repeated here.

[0101] The above description is only a part of the embodiments of this application and does not limit the scope of protection of this application. All equivalent structural transformations made under the technical concept of this application and using the content of this application specification and drawings, or direct / indirect applications in other related technical fields, are included in the scope of protection of this application.

Claims

1. A method for controlling water usage patterns in photovoltaic panel cleaning based on energy efficiency analysis, characterized in that, A controller for a photovoltaic panel washing device, wherein the photovoltaic panel washing device is installed on a set of photovoltaic panels, a condenser in the photovoltaic panel washing device is installed at the end of the photovoltaic panel array away from the ground, a water distributor in the photovoltaic panel washing device is installed at the end of the photovoltaic array closer to the ground, the distributor is connected to a water tank through a pipe, and a water pump in the water tank is communicatively connected to the condenser, the method comprising: The system acquires environmental information and pollution level of the photovoltaic panel, and based on the environmental information and pollution level, predicts the total water consumption required to clean the photovoltaic panel. The environmental information includes time-series environmental temperature, relative humidity, and meteorological data obtained through continuous sampling. Obtain the total water storage capacity of the water tank, and based on the total water consumption and the total water storage capacity, determine the amount of ambient water to be collected by the condenser to condense the environment water in the photovoltaic panel's location for this cleaning. Based on a preset energy consumption prediction model, the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank are predicted in real time. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and the water pump under the current operating conditions. The real-time operating parameters of the condenser and the water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. Based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume, a water usage mode is selected for cleaning the photovoltaic panel. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

2. The photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in claim 1, characterized in that, Based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume, the step of selecting the water usage mode for cleaning the photovoltaic panels further includes: Based on the relationship between the condensation energy consumption and the total water supply energy consumption, determine whether to activate the condenser to condense the ambient water. If it is determined that the condenser needs to be activated to condense the ambient water, the activation mode of the condenser is determined based on the relationship between the total water storage and the collected water volume, and the condenser is controlled to condense the ambient water to obtain condensate water, which is then used to clean the photovoltaic panel. If it is determined that the condenser does not need to be used to condense the ambient water, then the photovoltaic panel will be cleaned using the stored condensate in the water tank.

3. The photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in claim 2, characterized in that, The step of determining the condenser's activation mode based on the relationship between the total stored water volume and the collected water volume includes: Determine the relationship between the total water storage capacity and the collected water volume; When the total water storage capacity is greater than or equal to the collected water volume, the activation mode of the condenser is determined to be the single-start mode of activating the condenser alone. When the total water storage is less than the collected water volume, the activation mode of the condenser is determined to be the joint activation mode of the condenser and the water tank supply.

4. The photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in claim 3, characterized in that, The steps of cleaning the photovoltaic panel using the condensate water include: When the activation mode is single start mode, the condenser is controlled to condense the ambient water in real time to obtain real-time condensed water, and the water distribution cleaner is controlled to use the real-time condensed water to clean the photovoltaic panel. When the activation mode is the common start mode, the condenser is controlled to condense the ambient water in real time to obtain real-time condensate, and water is pumped from the water tank to obtain stored condensate. The water distribution cleaner is controlled to use the real-time condensate and the stored condensate to clean the photovoltaic panel.

5. The photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in claim 2, characterized in that, After determining that the condenser needs to be activated to condense the ambient water, the method further includes: Determine whether the ratio of the condensation energy consumption to the total water supply energy consumption is less than a preset water storage threshold. If the water level is less than the storage threshold, the ambient water condensed by the condenser is stored for use in the next water supply cycle of the water tank.

6. The photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in claim 2, characterized in that, Based on the relationship between the condensation energy consumption and the total water supply energy consumption, the step of determining whether to activate the condenser to condense the ambient water includes: If the condensation energy consumption is greater than or equal to the total water supply energy consumption, it is determined that the water tank supply is more energy-efficient than the condensation of ambient water, and it is determined that the condenser does not need to be activated to condense the ambient water. If the energy consumption of condensation is less than the total energy consumption of water supply, it is determined that condensing the ambient water is more energy-efficient than water supply from the water tank, and it is determined that the condenser needs to be activated to condense the ambient water.

7. The photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in claim 1, characterized in that, Based on a preset energy consumption prediction model, the steps of predicting in real time the condensation energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank include: The ambient temperature and relative humidity of the environment where the photovoltaic panel is located are extracted from the environmental information; the dew point temperature of the environment where the photovoltaic panel is located is dynamically predicted based on the time-series change law of the ambient temperature and relative humidity; the dew point temperature, the collected water volume, the preset energy correction coefficient, and the real-time energy efficiency curve of the condenser in this cleaning process are input into the preset energy consumption prediction model to obtain the condensation energy consumption required to condense the collected water volume. The static head and the pipeline friction head of the pumped condensate stored in the water tank into the water distribution cleaner are determined, and the static head and the pipeline friction head are superimposed to obtain the total water supply head; the total water supply head, the real-time efficiency of the water pump, and the recorded maintenance energy consumption data are input into the energy consumption prediction model to obtain the total water supply energy consumption of the water tank.

8. A photovoltaic panel cleaning water mode control device based on energy efficiency analysis, characterized in that, A controller for a photovoltaic panel washing device, wherein the photovoltaic panel washing device is installed on a set of photovoltaic panels, a condenser in the photovoltaic panel washing device is installed at the end of the photovoltaic panel array away from the ground, a water distributor in the photovoltaic panel washing device is installed at the end of the photovoltaic array closer to the ground, the distributor is connected to a water tank through a pipe, and a water pump in the water tank is communicatively connected to the condenser, the device comprising: The prediction module is used to acquire environmental information and pollution level of the photovoltaic panel, and based on the environmental information and pollution level, predict the total water consumption required to clean the photovoltaic panel. The environmental information includes time-series environmental temperature, relative humidity and meteorological data obtained by continuous sampling. The water volume calculation module is used to obtain the total water storage capacity of the water tank, and based on the total water consumption and the total water storage capacity, determine the amount of environmental water to be collected by the condenser to condense the environment water in the photovoltaic panel's location for this cleaning. The energy consumption calculation module is used to predict and determine the condensing energy consumption required to condense the collected water and the total water supply energy consumption required to supply water from the water tank in real time based on a preset energy consumption prediction model. The energy consumption prediction model is constructed based on the real-time operating parameters of the condenser and the water pump under the current operating conditions. The real-time operating parameters of the condenser and the water pump are obtained by matching the temporal variation patterns of ambient temperature and relative humidity to the real-time energy efficiency curve of the condenser and the real-time efficiency curve of the water pump, respectively. The selection module is used to select the water usage mode for cleaning the photovoltaic panel based on the relationship between the condensation energy consumption and the total water supply energy consumption, and the relationship between the collected water volume and the total stored water volume. The water usage mode includes using the condensate to clean the photovoltaic panel and using the stored condensate in the water tank to clean the photovoltaic panel.

9. A photovoltaic panel cleaning water mode control device based on energy efficiency analysis, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the photovoltaic panel cleaning water mode control method based on energy efficiency analysis as described in any one of claims 1 to 7.

Images