Temperature control method and system for water purifying and taking equipment based on photovoltaic power generation

Abstract

The invention discloses a temperature control method for water purifying and taking equipment based on photovoltaic power generation, and relates to the technical field of temperature control, and the method comprises the steps: obtaining adjacent time periods of a photovoltaic power generation module in a power generation state, and taking the adjacent time periods as a first time period and a second time period; predicting the heat consumption of the heat storage or heating terminal from the end moment of the first time period to the start moment of the second time period based on the energy prediction model, and obtaining the lowest required temperature of the heat storage or heating terminal at the end moment of the first time period according to the heat consumption and the lowest temperature threshold value of the heat preservation chamber; and determining a heating strategy of the heat storage or heating terminal according to the lowest required temperature and the power generation intensity model of the photovoltaic power generation module, and heating the heat storage or heating terminal according to the heating strategy. The invention further provides a temperature control system of the water purifying and taking equipment based on photovoltaic power generation. The invention has the advantages of energy consumption reduction, good temperature control effect and wide application.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission security protection, and in particular to a temperature control method and system for water purification and water intake equipment based on photovoltaic power generation. Background Art

[0002] In high-altitude farming and pastoral areas, due to harsh natural conditions, the well water that residents rely on often has water quality problems, and the extremely low temperatures in winter cause water collection equipment to easily freeze and be damaged. To solve these problems, a water purification and collection equipment based on photovoltaic power generation has been developed. The equipment makes full use of the abundant local solar energy resources, which can not only effectively purify water quality, but also ensure that the water will not freeze in the cold season through temperature control technology, thereby ensuring the safety and convenience of drinking water for farmers and herdsmen.

[0003] The temperature control method adopted by the above-mentioned photovoltaic-based water purification and water intake equipment generally relies on energy storage to ensure continuous heat preservation during non-power generation periods (such as at night). However, the current temperature control method has significant energy loss problems. First, the photovoltaic power generation module itself has certain energy conversion losses during the power generation process, that is, not all solar energy is converted into electrical energy; secondly, the electrical energy generated after power generation needs to be stored in the energy storage device first, and the energy storage process (such as battery charging and discharging) will introduce additional energy loss; finally, when it is necessary to use these stored electrical energies to heat the heat storage or heating terminal, the electrical energy is converted into thermal energy and heat conversion losses are generated again. This series of losses accumulates, which not only greatly reduces the overall energy utilization efficiency, but also increases operating costs, limiting the widespread application of photovoltaic power generation technology in water purification and water intake equipment. Summary of the invention

[0004] In view of the defects in the prior art, the present invention provides a temperature control method for a water purification and intake equipment based on photovoltaic power generation, which is applied to the water purification and intake equipment, wherein the water purification and intake equipment comprises an insulation chamber, a photovoltaic power generation module and a heat storage or heating terminal arranged in the insulation chamber, wherein the heat storage or heating terminal is used to increase the indoor temperature of the insulation chamber, and the photovoltaic power generation module is used to directly heat the heat storage or heating terminal after power generation, and the method comprises: obtaining adjacent time periods when the photovoltaic power generation module is in a power generation state, and taking the adjacent time periods as a first time period and a second time period; predicting the heat consumption of the heat storage or heating terminal from the end of the first time period to the start of the second time period based on an energy prediction model, and obtaining the minimum required temperature of the heat storage or heating terminal at the end of the first time period according to the heat consumption and the minimum temperature threshold of the insulation chamber; determining the heating strategy of the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model of the photovoltaic power generation module, and heating the heat storage or heating terminal according to the heating strategy.

[0005] Preferably, determining the heating strategy of the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model includes: obtaining the total power generation intensity of the photovoltaic power generation module in the first time period based on the power generation intensity model; predicting the maximum temperature of the heat storage or heating terminal at the end of the first time period based on the energy prediction model and the total power generation intensity; if the maximum temperature is lower than the minimum required temperature, issuing a warning signal; if the maximum temperature is not lower than the minimum required temperature, determining the heating strategy of the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model.

[0006] Preferably, the heating strategy includes: determining an initial heating power curve of the photovoltaic power generation module for the heat storage or heating terminal in the first time period according to the power generation intensity model, and performing heating prediction on the heat storage or heating terminal from the beginning of the first time period according to the initial heating power curve; judging whether the time difference between the time point when the heat storage or heating terminal reaches the minimum required temperature and the end of the first time period is lower than an error threshold, if not, optimizing the initial heating power curve to a corrected heating power curve, performing heating prediction on the heat storage or heating terminal from the beginning of the first time period according to the corrected heating power curve, and re-performing the above judgment step; if so, determining the heating strategy according to the heating prediction.

[0007] Preferably, optimizing the initial heating power curve to a modified heating power curve includes: determining a direct heating power generation unit and a plurality of switchable heating power generation units of the photovoltaic power generation module, wherein the direct heating power generation unit is used to convert all the generated power into heating power, and the switchable heating power generation unit is used to connect or disconnect the conversion line to the heat storage or heating terminal after switching and convert all the generated power into heating power after connection; based on the initial heating power curve, obtaining the number of switchable heating power generation units of the conversion line connected to the heat storage or heating terminal, reducing the number of switchable heating power generation units of the conversion line connected to the heat storage or heating terminal, thereby forming a modified heating power curve.

[0008] Preferably, the method for obtaining the energy prediction model includes: obtaining the indoor temperature insulation coefficient and heat exchange surface area of ​​the insulation room; obtaining environmental information, and predicting the average indoor and outdoor temperature difference within a first time period based on the environmental information; obtaining historical purified water intake information, and predicting the purified water intake and insulation energy consumption within the first time period based on the historical purified water intake information; constructing an energy prediction model according to the first time period, indoor temperature insulation coefficient, heat exchange surface area, indoor and outdoor average temperature difference and purified water intake and insulation energy consumption.

[0009] Preferably, the energy prediction model includes: Among them, Q lossis the heat consumption, R is the indoor temperature insulation coefficient of the insulation room, A is the heat exchange surface area of ​​the insulation room, ΔT is the average temperature difference between indoor and outdoor, Δt is the time difference from the end of the first time period to the beginning of the second time period, P water Energy consumption for water extraction and heat preservation for clean water.

[0010] Preferably, the method for obtaining the power generation intensity model includes: obtaining historical power generation information, and predicting the maximum power generation intensity within a first time period based on the historical power generation information; obtaining environmental information, and obtaining a power generation intensity rising time period and a power generation intensity falling time period within the first time period based on the environmental information, and obtaining a time constant for the power generation intensity rising according to the power generation intensity rising time period, and obtaining a time constant for the power generation intensity falling according to the power generation intensity falling time period; and constructing a power generation intensity model according to the first time period, the maximum power generation intensity, the time constant for the power generation intensity rising, and the time constant for the power generation intensity falling.

[0011] Preferably, the power generation intensity model of the photovoltaic power generation module includes: Where P(t) is the power generation intensity of the photovoltaic power generation module at time t in the first time period, P max To predict the maximum power generation intensity of the photovoltaic power generation module in the first time period, t st is the starting time of the first time period, t ed is the end time of the first time period, t r-up is the time constant of the increase of power generation intensity in the first time period, t r-down is the time constant of the decrease in power generation intensity in the first time period.

[0012] A temperature control system for a water purifying and taking equipment based on photovoltaic power generation is also provided, which is applied to the water purifying and taking equipment. The water purifying and taking equipment includes an insulation chamber, a photovoltaic power generation module, and a heat storage or heating terminal arranged in the insulation chamber. The heat storage or heating terminal is used to increase the indoor temperature of the insulation chamber, and the photovoltaic power generation module is used to directly heat the heat storage or heating terminal after power generation. The system is used to implement the above-mentioned temperature control method for water purifying and taking equipment based on photovoltaic power generation. The system includes: an acquisition module, which is used to acquire adjacent time periods when the photovoltaic power generation module is in a power generation state, and use the adjacent time periods as the first time period and the second time period; a prediction module, which is used to predict the heat consumption of the heat storage or heating terminal from the end of the first time period to the start of the second time period based on an energy prediction model, and is also used to acquire the minimum required temperature of the heat storage or heating terminal at the end of the first time period according to the heat consumption and the minimum temperature threshold of the insulation chamber; a decision execution module, which is used to determine the heating strategy of the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model of the photovoltaic power generation module, and is also used to heat the heat storage or heating terminal according to the heating strategy.

[0013] A non-temporary computer-readable storage medium is also provided, on which a computer program is stored, and when the program is executed by a processor, the temperature control method of the water purification and water intake equipment based on photovoltaic power generation is implemented.

[0014] The beneficial effects of the present invention are embodied in:

[0015] By directly using the photovoltaic power generation module to heat the heat storage or heating terminal during the power generation process, the multiple losses of electrical energy storage and subsequent conversion into thermal energy in the traditional method are avoided. This improvement significantly improves the overall energy utilization efficiency, allowing sunlight to be used more directly and effectively to increase the temperature of the insulation chamber, thereby reducing energy waste and allowing the entire photovoltaic power generation module to store more energy and use it for water purification or other aspects; further, based on the energy prediction model, the heat consumption of the heat storage or heating terminal during the non-power generation period is accurately predicted, and a scientific heating strategy is formulated based on this predicted value. This combination of prediction and strategy ensures that the heat storage or heating terminal reaches the minimum required temperature at the end of the first time period, thereby maintaining sufficient heat throughout the non-power generation period, effectively preventing the freezing of water in the insulation chamber, and ensuring the drinking water safety of farmers and herdsmen; further, the heating strategy is determined according to the power generation intensity model of the photovoltaic power generation module, realizing intelligent control of the heating process of the heat storage or heating terminal. This control method not only improves the accuracy and efficiency of heating, but also reduces manual intervention, reduces operating costs, and enhances the automation and operation stability of the entire water purification and water intake equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0017] Figure 1 It is a schematic diagram of the steps of the temperature control method of water purification and water intake equipment based on photovoltaic power generation of the present invention;

[0018] Figure 2 It is a schematic diagram of step S3 in the temperature control method of water purification and water intake equipment based on photovoltaic power generation of the present invention;

[0019] Figure 3 It is a schematic diagram of step S34 in the temperature control method of water purification and water intake equipment based on photovoltaic power generation of the present invention;

[0020] Figure 4It is a schematic diagram of the step of optimizing the initial heating power curve to correct the heating power curve in S342 in the temperature control method of water purification and water intake equipment based on photovoltaic power generation of the present invention;

[0021] Figure 5 The present invention is a block diagram of an electronic device according to an embodiment of the present invention.

[0022] Reference numerals:

[0023] 700 - electronic device, 701 - processor, 702 - memory, 703 - multimedia component, 704 - input / output (I / O) interface, 705 - communication component. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0025] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In addition, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0027] like Figure 1 As shown, a temperature control method for a water purification and water intake equipment based on photovoltaic power generation is provided, which is applied to the water purification and water intake equipment. The water purification and water intake equipment includes a heat preservation chamber, a photovoltaic power generation module, and a heat storage or heating terminal arranged in the heat preservation chamber. The heat storage or heating terminal is used to increase the indoor temperature of the heat preservation chamber. At the same time, the heat storage or heating terminal can be an object containing a heat storage medium (such as a water tank) or a heating end directly used for heating (such as a heating wire or a heating fin, etc.). The photovoltaic power generation module is used to directly heat the heat storage or heating terminal after power generation. The method includes:

[0028] S1, obtaining adjacent time periods when the photovoltaic power generation module is in a power generation state, and using the adjacent time periods as a first time period and a second time period;

[0029] S2. Predicting the heat consumption of the heat storage or heating terminal from the end of the first time period to the start of the second time period based on the energy prediction model, and obtaining the minimum required temperature of the heat storage or heating terminal at the end of the first time period according to the heat consumption and the minimum temperature threshold of the insulation chamber;

[0030] S3. Determine a heating strategy for the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model of the photovoltaic power generation module, and heat the heat storage or heating terminal according to the heating strategy.

[0031] In this embodiment, it should be noted that in S1, accurate monitoring of the power generation state of the photovoltaic power generation module and division of time periods are involved. By installing a monitoring unit for the photovoltaic power generation module, the start and end time of the photovoltaic power generation module and the power change can be recorded in real time, and the two time periods of continuous power generation can be divided into adjacent first time periods and second time periods. At the same time, weather conditions such as darkness, rain, etc. that may exist between adjacent time periods are considered to ensure accurate prediction of the heat consumption of the heat storage or heating terminal and scientific formulation of the heating strategy. This step provides reliable basic data for subsequent temperature control.

[0032] In S2, the heat consumption of the heat storage or heating terminal during the non-power generation period of the photovoltaic power generation module (i.e., between the end of the first time period and the beginning of the second time period) is accurately calculated based on the energy prediction model; this process first requires the construction of an accurate energy prediction model, which can comprehensively consider the heat loss characteristics of the insulation chamber, the change of the external environment temperature, the heat capacity and insulation performance of the heat storage or heating terminal; by inputting these parameters, the model can predict the heat required for the insulation chamber to maintain the minimum temperature threshold during the non-power generation period; then, based on this predicted value, the minimum required temperature that the heat storage or heating terminal should reach at the end of the first time period is determined to ensure that the temperature of the insulation chamber will not be lower than the safety threshold during the entire non-power generation period, thereby ensuring the fluidity of water in the water purification and water intake equipment and preventing freezing; among them, by accurately predicting the heat consumption during the non-power generation period, a scientific basis is provided for the formulation of an efficient heating strategy. This can not only avoid excessive energy consumption and reduce energy waste caused by blind heating, but also ensure that the heat storage or heating terminal maintains sufficient heat during the non-power generation period, thereby maintaining a suitable temperature in the insulation chamber and ensuring the drinking water needs of farmers and herdsmen. In addition, accurate heat prediction can also help optimize the utilization of photovoltaic power generation modules, improve the energy efficiency of the entire water purification and water intake equipment, reduce operating costs, and further promote the application of photovoltaic power generation technology in high-altitude agricultural and pastoral areas.

[0033] In S3, a heating strategy for the heat storage or heating terminal is formulated and executed to ensure that the heat storage or heating terminal is effectively heated during the power generation of the photovoltaic power generation module, thereby maintaining the appropriate temperature of the insulation chamber; this step first determines the optimal heating power change and heating time based on the minimum required temperature predicted in S2 and the power generation intensity model of the current photovoltaic power generation module; the formulation of the heating strategy needs to comprehensively consider the actual power generation capacity of the photovoltaic power generation module, the thermal response characteristics of the heat storage or heating terminal, and the insulation performance of the insulation chamber to ensure that the heat storage is maximized within the limited power generation time; then, according to the formulated heating strategy, the heating power of the heat storage or heating terminal is adjusted, and finally the temperature of the insulation chamber is precisely controlled. Among them, by accurately formulating and executing the heating strategy, the photovoltaic power generation module is ensured to effectively heat the heat storage or heating terminal during power generation, thereby improving energy utilization efficiency and reducing operating costs. This heating method based on prediction and real-time adjustment avoids energy waste, ensures that the heat storage or heating terminal maintains sufficient heat during non-power generation periods, maintains the appropriate temperature of the insulation chamber, and ensures the drinking water safety of farmers and herdsmen.

[0034] In summary, by directly using the photovoltaic power generation module to heat the heat storage or heating terminal during the power generation process, the multiple losses of electrical energy storage and subsequent conversion into thermal energy in the traditional method are avoided. This improvement significantly improves the overall energy utilization efficiency, allowing sunlight to be used more directly and effectively to increase the temperature of the insulation chamber, thereby reducing energy waste and allowing the entire photovoltaic power generation module to store more energy and use it for water purification or other aspects; further, based on the energy prediction model, the heat consumption of the heat storage or heating terminal during the non-power generation period is accurately predicted, and a scientific heating strategy is formulated based on this predicted value. This combination of prediction and strategy ensures that the heat storage or heating terminal reaches the minimum required temperature at the end of the first time period, thereby maintaining sufficient heat throughout the non-power generation period, effectively preventing the freezing of water in the insulation chamber, and ensuring the drinking water safety of farmers and herdsmen; further, the heating strategy is determined according to the power generation intensity model of the photovoltaic power generation module, and the intelligent control of the heating process of the heat storage or heating terminal is realized. This control method not only improves the accuracy and efficiency of heating, but also reduces manual intervention, reduces operating costs, and enhances the automation and operation stability of the entire water purification and water intake equipment.

[0035] like Figure 2 As shown, in one embodiment, the minimum required temperature and power generation intensity model in S3 determine the heating strategy of the heat storage or heating terminal, including:

[0036] S31, obtaining the total power generation intensity of the photovoltaic power generation module in the first time period based on the power generation intensity model;

[0037] S32, predicting the maximum temperature of the heat storage or heating terminal at the end of the first time period based on the energy prediction model and the total power generation intensity;

[0038] S33, if the maximum temperature is lower than the minimum required temperature, issuing an early warning signal;

[0039] S34. If the maximum temperature is not lower than the minimum required temperature, determine a heating strategy for the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model.

[0040] In this embodiment, it should be noted that in S31, the system obtains the total power generation intensity of the photovoltaic power generation module in the first time period based on the power generation intensity model. It provides information about how much electricity the photovoltaic power generation module can generate in the current time period, which is the basis for subsequent calculations and decisions.

[0041] In S32, the system uses the energy prediction model and the known total power generation intensity to predict the maximum temperature of the heat storage or heating terminal at the end of the first time period. This prediction takes into account the thermal response characteristics of the heat storage or heating terminal, the current environmental conditions, and the power generation capacity of the photovoltaic power generation module, thereby obtaining a relatively accurate temperature prediction value.

[0042] In S33, the system compares the predicted maximum temperature with the minimum required temperature. If the maximum temperature is lower than the minimum required temperature, this means that even if the photovoltaic power generation module works at the maximum power generation intensity, the heat storage or heating terminal cannot reach the required temperature at the end of the first time period. In this case, the system will issue an early warning signal to remind the operator that additional measures may be needed to ensure the temperature of the insulation room, such as the operator can temporarily supplement additional power supplies and storage devices to power the heating terminal.

[0043] In S34, if the predicted maximum temperature is not lower than the minimum required temperature, the system determines a heating strategy for the heat storage or heating terminal based on the minimum required temperature and the power generation intensity model. This strategy considers how to effectively use the electricity generated by the photovoltaic power generation module to heat the heat storage or heating terminal in the first time period to ensure that the temperature of the heat storage or heating terminal reaches or exceeds the minimum required temperature at the end of the first time period.

[0044] In summary, in this embodiment, by accurately predicting the maximum temperature of the heat storage or heating terminal at the end of the first time period and comparing it with the minimum required temperature, the system can more accurately determine the heating strategy, thereby improving the accuracy of temperature control; at the same time, by judging and issuing early warning signals, the reliability of the system is also improved.

[0045] like Figure 3 As shown, in one embodiment, the heating strategy in S34 includes:

[0046] S341, determining an initial heating power curve of the photovoltaic power generation module for the heat storage or heating terminal in the first time period according to the power generation intensity model, and performing a heating prediction for the heat storage or heating terminal from the start of the first time period according to the initial heating power curve;

[0047] S342, determining whether the time difference between the time point when the heat storage or heating terminal reaches the minimum required temperature and the end time of the first time period is lower than the error threshold; if not, optimizing the initial heating power curve to a modified heating power curve, performing heating prediction on the heat storage or heating terminal from the start time of the first time period according to the modified heating power curve, and performing the above determination step S342 again;

[0048] S343: If yes, determine the heating strategy according to the heating prediction.

[0049] In this embodiment, it should be noted that in S341, the system determines the initial heating power curve of the photovoltaic power generation module for the heat storage or heating terminal in the first time period according to the power generation intensity model. This curve represents the heating power of the photovoltaic power generation module for the heat storage or heating terminal at different time points and is the basis of the heating strategy. The system then predicts the heating of the heat storage or heating terminal from the beginning of the first time period according to this initial heating power curve to simulate the actual heating process.

[0050] In S342, the system determines whether the time difference between the time point when the heat storage or heating terminal reaches the minimum required temperature and the end of the first time period is lower than a preset error threshold. This time difference reflects the accuracy of the heating strategy. If the time difference is large, that is, the time difference is not lower than the error threshold, it means that the initial heating power curve needs to be optimized, otherwise the heating energy required for the heat storage or heating terminal to be at the target temperature during the time difference period will be wasted. Therefore, the initial heating power curve is optimized, a corrected heating power curve is generated, and the heating prediction and judgment are re-performed based on this new curve. Among them, this correction process involves reducing the heating power at certain time points to more accurately match the heat demand of the heat storage or heating terminal and the power generation capacity of the photovoltaic power generation module. If the corrected time difference is still large, it means that the correction is insufficient and the heating power curve needs to be further optimized.

[0051] Finally, in S343, until the time difference in S342 is lower than the error threshold, it means that the current heating strategy is accurate enough, and the system will determine the final heating strategy according to the result of this heating prediction.

[0052] In summary, through this series of optimization and judgment steps, the system can gradually approach the ideal heating strategy, ensuring that the heat storage or heating terminal can accurately reach the minimum required temperature at the end of the first time period, thereby improving energy utilization efficiency, reducing waste, and ensuring the stable operation of the water purification and intake equipment.

[0053] like Figure 4 As shown, in one embodiment, optimizing the initial heating power curve to a modified heating power curve in S342 includes:

[0054] S3421. Determine a direct heating power generation unit and a plurality of switchable heating power generation units of the photovoltaic power generation module, wherein the direct heating power generation unit is used to convert all the generated power into heating power, and the switchable heating power generation unit is used to connect or disconnect the conversion line to the heat storage or heating terminal after switching and convert all the generated power into heating power after connecting;

[0055] S3422. Based on the initial heating power curve, the number of switchable heating and power generation units of the conversion line connected to the heat storage or heating terminal is obtained, and the number of switchable heating and power generation units of the conversion line connected to the heat storage or heating terminal is reduced to form a corrected heating power curve.

[0056] In this embodiment, it should be noted that in S3421, the direct heating power generation unit is a part of the photovoltaic power generation module, and its power generation power is directly and completely converted into heating power for heating the heat storage or heating terminal. These units are usually determined in the system design and cannot or do not need to be switched. The switchable heating power generation unit is another part of the photovoltaic power generation module. They have a special circuit design that allows the conversion circuit to the heat storage or heating terminal to be connected or disconnected when needed, that is, when connected, the power generation power of these units will also be completely converted into heating power; when disconnected, they will not contribute any heating power.

[0057] In S3422, after determining the composition or connection line of the photovoltaic power generation module, the number of switchable heating and power generation units in the conversion line currently connected to the heat storage or heating terminal is analyzed based on the initial heating power curve. This number directly affects the size of the heating power. By reducing the number of switchable heating and power generation units in some time periods, the heating power curve is adjusted and corrected, and finally gradually approaches the ideal heating power curve, ensuring that the heat storage or heating terminal can accurately reach the minimum required temperature at the end of the first time period, effectively reducing energy loss.

[0058] In summary, by distinguishing between direct heating and power generation units and switchable heating and power generation units, the system can adjust the heating strategy more flexibly. When it is necessary to reduce the heating power, some switchable heating and power generation units can be simply disconnected without making complex adjustments to the entire photovoltaic power generation module; further, this refined control strategy allows the system to more accurately match the heat demand of the heat storage or heating terminal and the power generation capacity of the photovoltaic power generation module. By reducing unnecessary heating power, the system can avoid energy waste and improve the overall energy utilization efficiency; further, by dividing the photovoltaic power generation module into direct heating and switchable heating, the maintenance and management of the system also becomes simpler, and operators can more easily identify and deal with potential problems, thereby ensuring the stable operation of the system.

[0059] In one embodiment, the method for obtaining the energy prediction model involved in S2 includes:

[0060] Obtain the indoor temperature insulation coefficient and heat exchange surface area of ​​the insulation room;

[0061] Acquire environmental information, and predict an average temperature difference between indoor and outdoor areas within a first time period based on the environmental information;

[0062] Obtain historical purified water intake information, and predict purified water intake and insulation energy consumption in a first time period based on the historical purified water intake information;

[0063] An energy prediction model is constructed based on the first time period, indoor temperature insulation coefficient, heat exchange surface area, average indoor and outdoor temperature difference, and clean water intake and insulation energy consumption.

[0064] In this embodiment, it should be noted that the indoor temperature insulation coefficient is an important parameter for measuring the insulation performance of the insulation chamber, which reflects the ability of the insulation chamber to maintain a stable indoor temperature. The higher the indoor temperature insulation coefficient, the better the insulation performance of the insulation chamber and the smaller the energy loss. The heat exchange surface area is the main area for heat exchange between the insulation chamber and the external environment. The size of the heat exchange surface area directly affects the heat exchange rate between the insulation chamber and the outside world, thereby affecting the energy demand of the insulation chamber.

[0065] Environmental information includes factors that may affect the indoor and outdoor temperature difference, such as weather forecast, temperature change, wind speed, solar radiation, etc. in the first time period. Using the acquired environmental information, the average indoor and outdoor temperature difference in the first time period is predicted through mathematical models or statistical methods. This temperature difference is an important basis for calculating the energy demand of the insulation room.

[0066] The historical purified water intake information includes the frequency, water volume, water temperature and other data of purified water intake in the past period of time. The above-mentioned past period of time corresponds to the first time period. For example, if the first time period is from 5:00 to 20:00 tomorrow, then the past period of time is from 5:00 to 20:00 yesterday or today, or from 5:00 to 20:00 every day last month. By analyzing the historical data, the basis for predicting the energy consumption of purified water intake and insulation in the first time period can be found, and then the energy consumption of purified water intake and insulation in the first time period can be predicted. This prediction result helps to more accurately calculate the overall energy demand of the insulation room.

[0067] Specifically, the energy prediction model includes:

[0068] in,

[0069] Q loss is the heat consumption (unit: J), R is the indoor temperature insulation coefficient of the insulation room (unit: W / m 2 ·K), A is the heat exchange surface area of ​​the insulation chamber (unit: m 2 ), ΔT is the average temperature difference between indoor and outdoor (unit: K), Δt is the time difference between the end of the first time period and the beginning of the second time period (unit: s), P water Energy consumption for water extraction and heat preservation (unit: W).

[0070] In this embodiment, it should be noted that: This part represents the amount of heat lost through the surface area of ​​the insulation room per unit time; R is the indoor temperature insulation coefficient, which reflects the insulation room's resistance to heat loss. The larger the insulation coefficient, the slower the heat loss; A is the heat exchange surface area of ​​the insulation room, which determines the area of ​​heat loss. The larger the surface area, the faster the heat loss; ΔT is the average temperature difference between indoor and outdoor, which promotes the flow of heat. The larger the temperature difference, the faster the heat loss; Δt is the time interval, which is used as the denominator here to convert the heat loss rate (heat loss per unit time) into the total heat loss in a specific time interval. However, in the final formula, Δt will appear as a multiplier again. This is to simplify the entire formula and calculate the total heat loss in the entire time interval at the same time. P water ·Δt This part represents the energy consumption in the water extraction process multiplied by the time interval Δt, which represents the heat consumed in the water extraction process in a specific time interval (unit: J).

[0071] In summary, the entire energy prediction model takes into account two main factors: the heat lost in the insulation chamber and the heat consumed in the water purification intake. It can accurately calculate the heat consumption within a specific time interval and can comprehensively reflect the heat consumption situation. Furthermore, the model is suitable for the temperature control method of water purification intake equipment based on photovoltaic power generation, which can provide strong support for achieving precise temperature control. By predicting the heat consumption, a reasonable heating strategy can be formulated to ensure that the temperature in the insulation chamber is maintained within an appropriate range. Furthermore, the parameters in the formula can be adjusted according to actual conditions, with a certain degree of flexibility, and can adapt to the heat consumption prediction needs under different conditions.

[0072] In one embodiment, the method for obtaining the power generation intensity model involved in S3 includes:

[0073] Acquire historical power generation information, and predict the maximum power generation intensity in the first time period based on the historical power generation information;

[0074] Acquire environmental information, acquire a power generation intensity increase time period and a power generation intensity decrease time period within the first time period based on the environmental information, acquire a time constant for power generation intensity increase according to the power generation intensity increase time period, and acquire a time constant for power generation intensity decrease according to the power generation intensity decrease time period;

[0075] A power generation intensity model is constructed according to the first time period, the maximum power generation intensity, the time constant of the power generation intensity increase and the time constant of the power generation intensity decrease.

[0076] In this embodiment, it should be noted that the historical power generation information is the power generation data of the photovoltaic power generation module collected in the past period of time, including power generation intensity, power generation time, weather conditions, etc. Similarly, the above-mentioned past period of time corresponds to the first time period. For example, the first time period is from 5:00 to 20:00 tomorrow, then the past period of time is from 5:00 to 20:00 yesterday or today, or from 5:00 to 20:00 every day last month. Based on these historical power generation information, the maximum power generation intensity in the first time period is predicted by statistical analysis or machine learning algorithms. This maximum power generation intensity is one of the key parameters for constructing a power generation intensity model.

[0077] Collect environmental information such as weather forecast, solar radiation intensity, temperature change, cloud cover, etc. in the first time period, analyze this environmental information, and determine the time period of power generation intensity increase and the time period of power generation intensity decrease. These two time periods correspond to the time periods when the power generation intensity of the photovoltaic power generation module increases and decreases in a day. According to the time period of power generation intensity increase, calculate the time constant of power generation intensity increase, which describes the time required for power generation intensity to go from the lowest point to the highest point. Similarly, according to the time period of power generation intensity decrease, calculate the time constant of power generation intensity decrease, which describes the time required for power generation intensity to go from the highest point to the lowest point.

[0078] Specifically, the power generation intensity model of the photovoltaic power generation module includes:

[0079] in,

[0080] P(t) is the power generation intensity of the photovoltaic power generation module as a function of time t in the first time period, P max To predict the maximum power generation intensity of the photovoltaic power generation module in the first time period, t st is the starting time of the first time period, t ed is the end time of the first time period, t r-up is the time constant of the increase of power generation intensity in the first time period, t r-down is the time constant of the decrease in power generation intensity in the first time period.

[0081] In this embodiment, it should be noted that in the entire power generation intensity model, This sinusoidal function simulates the change of solar radiation intensity in the first time period (such as a day), t st is the start time of the first time period and represents sunrise, t ed is the end time of the first time period and represents sunset. The above sine function gradually increases from sunrise, reaches a maximum value (peak value of the sine function) at noon, and then gradually decreases to zero before sunset. This exponential function simulates the rise in power generation intensity after sunrise, which ensures that the power generation intensity does not jump to the maximum value immediately, but has a smooth transition. This exponential function simulates the decline in power generation intensity before sunset, and similar to the rising phase, it ensures that the power generation intensity does not drop to zero immediately, but has a smooth transition.

[0082] t r-up is the time constant of the increase of power generation intensity in the first time period. Assuming that after entering the first time period (such as sunrise), the power generation intensity of the photovoltaic power generation module begins to gradually increase, if this time constant is small, such as set to 1 hour, then the power generation intensity will quickly rise to close to the maximum value in a very short time, which means that within 1 hour after entering the first time period (after sunrise), the power generation intensity will reach a relatively high level. On the contrary, if this time constant is large, such as set to 4 hours, the increase process of power generation intensity will be more gentle, which means that within 4 hours after entering the first time period (after sunrise), the power generation intensity will gradually rise to close to the maximum value. Therefore, the time constant of the increase of power generation intensity determines the speed and smoothness of the increase of power generation intensity after entering the first time period (after sunrise).

[0083] Similarly, assume that the power generation intensity of the photovoltaic power generation module begins to gradually decrease before the end of the first time period (for example, before sunset). If this time constant is small, such as set to 1 hour, the power generation intensity will quickly drop to a value close to zero in a very short time. This means that within 1 hour before the end of the first time period (for example, before sunset), the power generation intensity will rapidly weaken. On the contrary, if this time constant is large, such as set to 4 hours, the power generation intensity will decrease more gradually. This means that within 4 hours before the end of the first time period (for example, before sunset), the power generation intensity will gradually drop to a value close to zero. Therefore, the time constant of the power generation intensity decline determines the speed and smoothness of the power generation intensity decline before the end of the first time period (for example, before sunset).

[0084] In summary, the entire power generation intensity model combines the sine function and the exponential function, which can more accurately simulate the changes in the power generation intensity of the photovoltaic power generation module throughout the day; further, the parameters in the model can be adjusted according to actual conditions to adapt to the power generation characteristics of the photovoltaic power generation module in different geographical locations, seasons and weather conditions; further, through this model, the power generation intensity of the photovoltaic power generation module at different time points can be predicted, thereby providing a basis for the heating strategy of the heat storage or heating terminal, which helps to ensure that the electric energy is fully utilized when the power generation intensity is high and improve the energy utilization efficiency.

[0085] A temperature control system for a water purification and intake equipment based on photovoltaic power generation is also provided. The system is used to implement a temperature control method for a water purification and intake equipment based on photovoltaic power generation in any one of the above embodiments, and is applied to the water purification and intake equipment. The water purification and intake equipment includes a heat preservation chamber, a photovoltaic power generation module, and a heat storage or heating terminal arranged in the heat preservation chamber. The heat storage or heating terminal is used to increase the indoor temperature of the heat preservation chamber. The photovoltaic power generation module is used to directly heat the heat storage or heating terminal after power generation. The system includes:

[0086] An acquisition module, used for acquiring adjacent time periods when the photovoltaic power generation module is in a power generation state, and using the adjacent time periods as the first time period and the second time period;

[0087] A prediction module, used to predict the heat consumption of the heat storage or heating terminal from the end of the first time period to the start of the second time period based on the energy prediction model, and also used to obtain the minimum required temperature of the heat storage or heating terminal at the end of the first time period according to the heat consumption and the minimum temperature threshold of the insulation chamber;

[0088] The decision execution module is used to determine the heating strategy of the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model of the photovoltaic power generation module, and is also used to heat the heat storage or heating terminal according to the heating strategy.

[0089] Regarding the temperature control system of the water purification and intake equipment based on photovoltaic power generation in the above-mentioned embodiment, the specific method of performing the operation has been described in detail in the implementation method of the temperature control method of the water purification and intake equipment based on photovoltaic power generation, and will not be elaborated here.

[0090] Figure 5 is a block diagram of an electronic device for a temperature control method of a water purification and water intake device based on photovoltaic power generation according to an exemplary embodiment. Figure 4 As shown, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0091] Among them, the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the temperature control method of the water purification and water intake equipment based on photovoltaic power generation. The memory 702 is used to store various types of data to support the operation of the electronic device 700, and these data may include instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0092] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned temperature control method for water purification and water intake equipment based on photovoltaic power generation.

[0093] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by the processor, the steps of the above-mentioned method for controlling the temperature of the water purification and water intake equipment based on photovoltaic power generation are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions can be executed by the processor 701 of the electronic device 700 to complete the above-mentioned method for controlling the temperature of the water purification and water intake equipment based on photovoltaic power generation.

[0094] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above-mentioned temperature control method of the water purification equipment based on photovoltaic power generation when executed by the programmable device.

[0095] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0096] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0097] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A temperature control method for a water purification and water intake device based on photovoltaic power generation, applied to the water purification and water intake device, the water purification and water intake device comprising a heat preservation chamber, a photovoltaic power generation module and a heat storage or heating terminal arranged in the heat preservation chamber, the heat storage or heating terminal is used to increase the indoor temperature of the heat preservation chamber, the photovoltaic power generation module is used to directly heat the heat storage or heating terminal after power generation, characterized in that: The method comprises: Acquire adjacent time periods when the photovoltaic power generation module is in a power generation state, and use the adjacent time periods as the first time period and the second time period; Predicting the heat consumption of the heat storage or heating terminal from the end of the first time period to the start of the second time period based on the energy prediction model, and obtaining the minimum required temperature of the heat storage or heating terminal at the end of the first time period according to the heat consumption and the minimum temperature threshold of the insulation chamber; The heating strategy of the heat storage or heating terminal is determined according to the minimum required temperature and the power generation intensity model of the photovoltaic power generation module, and the heat storage or heating terminal is heated according to the heating strategy.

2. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 1 is characterized in that: The heating strategy for thermal storage or heating terminals is determined based on the minimum required temperature and power generation intensity model, including: Obtaining the total power generation intensity of the photovoltaic power generation module in the first time period based on the power generation intensity model; Predicting the maximum temperature of the heat storage or heating terminal at the end of the first time period based on the energy prediction model and the total power generation intensity; If the maximum temperature is lower than the minimum required temperature, an early warning signal is issued; If the maximum temperature is not lower than the minimum required temperature, a heating strategy for the heat storage or heating terminal is determined according to the minimum required temperature and the power generation intensity model.

3. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 2 is characterized in that: The heating strategy includes: Determine an initial heating power curve of the photovoltaic power generation module for the heat storage or heating terminal in the first time period according to the power generation intensity model, and perform heating prediction for the heat storage or heating terminal from the beginning of the first time period according to the initial heating power curve; Determine whether the time difference between the time point when the heat storage or heating terminal reaches the minimum required temperature and the end time of the first time period is lower than the error threshold; if not, optimize the initial heating power curve to a modified heating power curve, perform heating prediction on the heat storage or heating terminal from the start time of the first time period according to the modified heating power curve, and repeat the above determination step; If so, determine the heating strategy based on the heating prediction.

4. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 3 is characterized in that: Optimizing the initial heating power curve to a modified heating power curve includes: Determine a direct heating power generation unit and a plurality of switchable heating power generation units of a photovoltaic power generation module, wherein the direct heating power generation unit is used to convert all the generated power into heating power, and the switchable heating power generation unit is used to connect or disconnect the conversion line to the heat storage or heating terminal after switching and convert all the generated power into heating power after connecting; Based on the initial heating power curve, the number of switchable heating and power generation units of the conversion line connected to the heat storage or heating terminal is obtained, and the number of switchable heating and power generation units of the conversion line connected to the heat storage or heating terminal is reduced to form a corrected heating power curve.

5. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 1 is characterized in that: The method for obtaining the energy prediction model includes: Obtain the indoor temperature insulation coefficient and heat exchange surface area of ​​the insulation room; Acquire environmental information, and predict the average temperature difference between indoor and outdoor areas within a first time period based on the environmental information; Obtain historical purified water intake information, and predict purified water intake and insulation energy consumption in a first time period based on the historical purified water intake information; An energy prediction model is constructed based on the first time period, indoor temperature insulation coefficient, heat exchange surface area, average indoor and outdoor temperature difference, and clean water intake and insulation energy consumption.

6. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 5 is characterized in that: The energy prediction model includes: in, Q loss is the heat consumption, R is the indoor temperature insulation coefficient of the insulation room, A is the heat exchange surface area of ​​the insulation room, ΔT is the average temperature difference between indoor and outdoor, Δt is the time difference from the end of the first time period to the beginning of the second time period, P water Energy consumption for water extraction and heat preservation for clean water.

7. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 1 is characterized in that: The method for obtaining the power generation intensity model includes: Acquire historical power generation information, and predict the maximum power generation intensity in the first time period based on the historical power generation information; Acquire environmental information, acquire a power generation intensity increase time period and a power generation intensity decrease time period within the first time period based on the environmental information, acquire a time constant for power generation intensity increase according to the power generation intensity increase time period, and acquire a time constant for power generation intensity decrease according to the power generation intensity decrease time period; A power generation intensity model is constructed according to the first time period, the maximum power generation intensity, the time constant of the power generation intensity increase and the time constant of the power generation intensity decrease.

8. The temperature control method for water purification and water intake equipment based on photovoltaic power generation according to claim 7 is characterized in that: The power generation intensity model of the photovoltaic power generation module includes: Where P(t) is the power generation intensity of the photovoltaic power generation module at time t in the first time period, P max To predict the maximum power generation intensity of the photovoltaic power generation module in the first time period, t st is the starting time of the first time period, t ed is the end time of the first time period, t r-up is the time constant of the increase of power generation intensity in the first time period, t r-down is the time constant of the decrease in power generation intensity in the first time period.

9. A temperature control system for a water purification and water intake equipment based on photovoltaic power generation, applied to the water purification and water intake equipment, the water purification and water intake equipment comprising a heat preservation chamber, a photovoltaic power generation module and a heat storage or heating terminal arranged in the heat preservation chamber, the heat storage or heating terminal is used to increase the indoor temperature of the heat preservation chamber, the photovoltaic power generation module is used to directly heat the heat storage or heating terminal after power generation, characterized in that: The system is used to implement the temperature control method of water purification and water intake equipment based on photovoltaic power generation according to any one of claims 1 to 8, and the system includes: An acquisition module, used for acquiring adjacent time periods when the photovoltaic power generation module is in a power generation state, and using the adjacent time periods as the first time period and the second time period; A prediction module, used to predict the heat consumption of the heat storage or heating terminal from the end of the first time period to the start of the second time period based on the energy prediction model, and also used to obtain the minimum required temperature of the heat storage or heating terminal at the end of the first time period according to the heat consumption and the minimum temperature threshold of the insulation chamber; The decision execution module is used to determine the heating strategy of the heat storage or heating terminal according to the minimum required temperature and the power generation intensity model of the photovoltaic power generation module, and is also used to heat the heat storage or heating terminal according to the heating strategy.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the temperature control method of water purification and water intake equipment based on photovoltaic power generation as described in any one of claims 1 to 8 is implemented.

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