Power supply strategy optimization method for condensation control and ring main unit

Abstract

The invention provides a power supply strategy optimization method for condensation control and a ring main unit, and belongs to the technical field of power supply, and the method specifically comprises the steps: determining the coincidence probability of the ring main unit and humidity intervals of different fluctuation types in a future preset time period according to the humidity monitoring data of the ring main unit, when the coincidence probability is utilized to determine that the distribution data of the coincidence risk time period in the future preset time period meets the requirement, the temperature change condition of the ring main unit under the weather data of the current date is taken as the basis, and the temperature change condition of the ring main unit is determined on the basis of the coincidence probability of the coincidence risk time period and humidity intervals of different fluctuation types; according to the method, the adjustment demand type of the humidity adjustment device of the ring main unit is determined, and the power supply processing strategy of the temperature adjustment device of the photovoltaic device at different monitoring temperatures is determined by using the adjustment demand type and the humidity monitoring data, so that the reliability of the control processing of the condensation risk is improved, and the use of the commercial power is reduced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power supply, and particularly relates to a power supply strategy optimization method for condensation control and a ring main unit. BACKGROUND

[0002] The power ring main unit is a power distribution cabinet, and the main purpose is to form a more reliable ring network with multiple paths of nearby users, realize bidirectional or bidirectional access, and form a closed loop of the power supply trunk, so as to improve the reliability of power supply processing. However, at the same time, condensation often occurs in the ring network cabinet, which affects the safe operation of the ring network cabinet.

[0003] In the prior art, ventilation and dehumidification equipment are often used to reduce condensation. Specifically, the photovoltaic equipment of the ring main unit and the commercial power are used to cooperate to realize power supply control of the ventilation and dehumidification equipment. However, since the dew point temperature is related to humidity and temperature, the dew point temperature changes rapidly with temperature in some humidity. Therefore, if the distribution of the period with a rapid change rate of the dew point temperature in the future is not considered, and the power supply strategy is optimized, the battery may not have enough power in the period with a rapid change rate, which may affect the working stability of the dehumidification device, and increase the use of commercial power.

[0004] To solve the above technical problems, the application provides a power supply strategy optimization method for condensation control and a ring main unit. SUMMARY

[0005] To achieve the purpose of the application, the application adopts the following technical solutions: Specifically, the application provides a power supply strategy optimization method for condensation control, which specifically includes: S1, determining the change of the dew point temperature at the temperature of each ring main unit in the humidity range of the ring main unit based on the monitoring data of the dew point temperature of the ring main unit, and determining the fluctuation type of the humidity range based on the change of the dew point temperature; S2, determining the coincidence probability of the ring main unit in the future preset period and the humidity range of different fluctuation types based on the humidity monitoring data of the ring main unit, and entering the next step when the distribution data of the coincidence risk period in the future preset period meets the requirements. S3, determining the adjustment requirement type of the humidity adjusting device of the ring main unit based on the coincidence probability of the coincidence risk period and the humidity range of different fluctuation types based on the change of the temperature of the ring main unit under the weather data of the current date, and determining the power supply processing strategy of the temperature adjusting device of the photovoltaic device under different monitoring temperatures based on the adjustment requirement type and the humidity monitoring data.

[0006] The beneficial effects of the present application are: Based on the coincidence probability of the coincidence risk period and the humidity interval of different fluctuation types, the adjustment demand type of the humidity adjusting device of the ring main unit is determined, so that the number of coincidence risk periods and the size of the dew point temperature fluctuation probability are fully considered, the size of the dew point temperature fluctuation probability in the future is evaluated, and further combined with the temperature change of the ring main unit, the accurate evaluation of the control adjustment difficulty when condensation occurs in the future period is realized, so that the control adjustment difficulty is used to determine the differentiated power supply strategy of the photovoltaic device, and the charging of the battery under the condition of greater control adjustment difficulty is ensured, the reliability of the humidity adjustment control in the future period is ensured, and the use of the power supply is reduced.

[0007] By using the adjustment demand type and the humidity monitoring data, the power supply processing strategy of the temperature adjusting device of the photovoltaic device under different monitoring temperatures is determined, which not only realizes the comprehensive consideration of the control adjustment difficulty when condensation occurs in the future period based on the adjustment demand type, but also further combines the humidity monitoring data to realize the determination of the power supply processing strategy of the temperature adjusting device under different humidity abnormality degrees, that is, to ensure the reliability of the humidity adjustment processing, and also to ensure the reliability of the temperature adjustment processing under the condition of abnormal risk degree of humidity and low future abnormal risk.

[0008] Further, the dew point temperature is the temperature at which the air is cooled to saturation while the humidity and temperature in the air remain unchanged, and the air pressure remains unchanged.

[0009] Further, the variation of the dew point temperature under the humidity interval is determined according to the variation of the dew point temperature with the temperature variation of the ring main unit under the humidity interval. Specifically, with the variation of humidity, the rate of variation of the dew point temperature with the temperature variation will change, so the variation rate of the dew point temperature under different humidity is different. Generally speaking, the greater the humidity, the greater the variation rate of the dew point temperature.

[0010] Further, the determination method of the fluctuation type under the humidity interval is: Determine the variation rate of the dew point temperature with the temperature variation in the humidity interval based on the variation of the dew point temperature at the temperature of each ring main unit under the humidity interval. Determine the fluctuation type under the humidity interval based on the variation rate.

[0011] Further, the determination method of the power supply processing strategy of the temperature adjusting device of the photovoltaic device under different monitoring temperatures is: Determine the humidity of the ring main unit at the current time based on the humidity monitoring data; Determine the length of time in which the humidity monitoring data of the ring main unit in the last preset length of time falls within the humidity interval of the dew point fluctuation type based on the humidity monitoring data, and take it as the coincidence length of time; Determine the power supply processing strategy of the temperature adjustment device of the photovoltaic device at different monitoring temperatures based on the humidity, the coincidence length of time, and the adjustment requirement type.

[0012] In another aspect, the application provides a ring main unit applied to the power supply strategy optimization method for condensation control, which specifically comprises: A dehumidification device, a temperature adjustment device, a temperature monitoring device, a humidity monitoring device, a photovoltaic device, and a battery; The dehumidification device is responsible for dehumidification processing of the ring main unit, the temperature adjustment device is responsible for temperature adjustment processing of the ring main unit, the temperature monitoring device is responsible for monitoring processing of the temperature inside the ring main unit and the temperature of the inner wall, the humidity monitoring device is responsible for monitoring processing of the humidity inside the ring main unit, the photovoltaic device performs charging processing of the battery, and together with the battery and the commercial power, the dehumidification device, the temperature adjustment device, the temperature monitoring device, and the humidity monitoring device perform power supply processing.

[0013] Other features and advantages will be set forth in the following description of the application, and in part will become apparent to those skilled in the art upon examination of the following or can be learned by practice of the application. The objects and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

[0014] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described below, and the accompanying drawings are described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0015] The above and other features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0016] Figure 1 A flowchart of a power supply strategy optimization method for condensation control; Figure 2 A flowchart of a method for determining the fluctuation type under the humidity interval; Figure 3 A flowchart of a method for determining the adjustment requirement type of the humidity adjustment device of the ring main unit; Figure 4 A framework diagram of a ring main unit. DETAILED DESCRIPTION

[0017] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0018] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0019] In this application, by assessing the risk of overlap between the humidity and dew point temperature fluctuations within the ring network box in future periods, as well as the changes in ambient temperature during periods of overlap risk, the usage requirements of the dehumidification device in future periods are evaluated. Based on these usage requirements, the power supply strategy for the photovoltaic device is optimized. This ensures that, even when dew point temperature regulation and control are difficult, the electrical energy of the photovoltaic device is stored and processed through batteries as much as possible, reducing the use of mains power, while also ensuring the reliability of condensation risk control.

[0020] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a power supply strategy optimization method for condensation control is provided, specifically including: S1 uses the monitoring data of the dew point temperature of the ring network box to determine the variation of the dew point temperature in each ring network box within the humidity range of the ring network box, and determines the fluctuation type in the humidity range based on the variation of the dew point temperature. Furthermore, the dew point temperature is the temperature at which air reaches saturation under constant air pressure and humidity, which is also the temperature at which condensation occurs inside the ring network box.

[0021] Furthermore, the variation of dew point temperature within the humidity range is determined based on the variation of dew point temperature as the temperature of the ring network box changes within the humidity range. Specifically, as humidity changes, the rate at which the dew point temperature changes with temperature changes will change. Therefore, the rate of change of dew point temperature is different under different humidity levels. Generally speaking, the higher the humidity, the greater the rate of change of dew point temperature.

[0022] Specifically, such as Figure 2 As shown, the method for determining the fluctuation type within the humidity range is as follows: determining a variation rate of the dew point temperature in the humidity interval along with the temperature variation based on the variation of the dew point temperature at the temperature of each ring main unit in the humidity interval; determining the fluctuation type in the humidity interval based on the variation rate.

[0023] It can be understood that when the variation rate of the dew point temperature in the humidity interval does not meet the requirement, the fluctuation type in the humidity interval is determined to be the dew point fluctuation type, otherwise, it belongs to the dew point stable type. In a possible embodiment, if the average rate of the variation of the dew point temperature per degree Celsius is greater than 0.6 when the temperature varies by 5 degrees Celsius, the fluctuation type in the humidity interval is determined to be the dew point fluctuation type. The temperature variation interval corresponding to the average rate of the variation of the dew point temperature greater than 0.6 is determined according to the historical monitoring temperature interval of the ring main unit, that is, if the average rate of the variation of the dew point temperature per degree Celsius is greater than 0.6 when the temperature varies by 5 degrees Celsius in the historical monitoring temperature interval, the fluctuation type in the humidity interval is determined to be the dew point fluctuation type.

[0024] S2 determines the coincidence probability of the ring main unit in the future preset time period and the humidity interval of different fluctuation types according to the humidity monitoring data of the ring main unit, and enters the next step when the distribution data of the coincidence risk period in the future preset time period meets the requirement. Further, the coincidence probability of the humidity interval of the fluctuation type is determined according to the weather data and the humidity monitoring data of the ring main unit to determine the probability interval corresponding to the predicted humidity in different time periods.

[0025] In a possible embodiment, the weather data of the ring main unit and the humidity monitoring data of the ring main unit are used as input quantities, and a humidity prediction model is used to determine the predicted humidity and the prediction probability corresponding to the predicted humidity in different time periods.

[0026] Specifically, the humidity prediction model is constructed by using a BP neural network prediction model, and the weather data of the ring main unit and the humidity monitoring data of the ring main unit are used as input quantities, and the output quantities are the predicted humidity and the corresponding prediction probability. The weather data of the ring main unit is determined according to the prediction result of the weather data of the region where the ring main unit is located, including temperature, humidity, and light amount.

[0027] Further, the coincidence risk period is a period in which the prediction probability of the predicted humidity falling into the humidity interval of the dew point fluctuation type does not meet the requirement. Specifically, the period in which the prediction probability of the predicted humidity falling into the humidity interval of the dew point fluctuation type is greater than 70% is taken as the coincidence risk period.

[0028] It should be noted that the future preset time period is the next 24 hours. Specifically, the future preset time period is divided into different time periods at 30-minute intervals.

[0029] Specifically, the distribution data of overlapping risk periods in the future preset time period must meet the requirements, including: Based on the distribution data of overlapping risk periods in a future preset period, determine the number of overlapping risk periods in the future preset period; Based on the distribution data of the overlapping risk periods, the interval between different overlapping risk periods is determined, and the cluster risk period is determined by using the interval between different overlapping risk periods. By utilizing the interval between the clustered risk period and the current period, it is determined whether the distribution data of overlapping risk periods in the future preset period meet the requirements.

[0030] It should be noted that the clustered risk period refers to the period in which the interval between different adjacent overlapping risk periods meets the requirements, that is, the interval between different adjacent overlapping risk periods is no more than 30 minutes. If the total duration of the clustered risk periods within the preset duration threshold is less than the interval between the current period, then the distribution data of the overlapping risk periods in the future preset period does not meet the requirements.

[0031] In one possible embodiment, when the total duration of cluster risk periods within an interval of less than 6 hours from the current time period is greater than 2 hours, the clustering degree of the current cluster risk periods is high, and therefore the need for humidity adjustment is high. Thus, it is determined that the distribution data of overlapping risk periods in the future preset time period does not meet the requirements.

[0032] Optionally, determine whether the distribution data of overlapping risk periods in the future preset time period meets the requirements, specifically including: Based on the distribution data of overlapping risk periods in a future preset period, determine the number of overlapping risk periods in the future preset period; Based on the distribution data of the overlapping risk periods, the interval between different overlapping risk periods and the current period is determined; Using the aforementioned interval duration, it is determined whether the distribution data of overlapping risk periods in the future preset time period meets the requirements.

[0033] It is understandable that when the number of overlapping risk periods with an interval length shorter than the preset duration does not meet the requirements, it means that overlapping risk periods will soon follow the current period. At the same time, the number of overlapping risk periods is large and densely distributed. Therefore, it is determined that the distribution data of overlapping risk periods in the future preset period does not meet the requirements.

[0034] In one possible embodiment, if there are more than four overlapping risk periods with an interval of less than 3 hours from the current time period, then it is determined that the distribution data of overlapping risk periods in the future preset time period does not meet the requirements.

[0035] Furthermore, if the distribution data of overlapping risk periods in the future preset time period does not meet the requirements, then in order to avoid condensation due to large temperature fluctuations during overlapping risk periods, and also to reduce the use of mains power, the power supply processing strategy of the photovoltaic device is determined to be to perform energy storage processing of the battery. Before the battery power reaches the rated power, i.e. the maximum power of the battery, the temperature regulation processing of the photovoltaic device is only required when the dew point temperature is reached.

[0036] It should be noted that the photovoltaic device is only required for temperature regulation when the temperature of the inner wall of the ring main unit reaches the dew point temperature. Specifically, the temperature of the ring main unit refers to the internal temperature, where the dew point temperature is determined based on monitoring data of the internal temperature and humidity. S3, based on the temperature variation of the ring main unit under the weather data of the current date, and based on the probability of overlap between the overlapping risk period and the humidity range of different fluctuation types, determines the adjustment demand type of the humidity adjustment device of the ring main unit, and uses the adjustment demand type and humidity monitoring data to determine the power supply processing strategy of the temperature adjustment device of the photovoltaic device under different monitoring temperatures.

[0037] Specifically, such as Figure 3 As shown, the method for determining the adjustment requirement type of the humidity control device of the ring network box is as follows: Based on the temperature variation of the ring network box under the weather data of the current date, the environmental prediction temperature of the ring network box during the overlapping risk period is determined, and the temperature variation risk period in the overlapping risk period is determined using the environmental prediction temperature. Based on the probability of overlap between the temperature change risk period and humidity ranges of different fluctuation types, the predicted probability of the temperature change risk period falling within the humidity range of dew point fluctuation type is determined. By utilizing the predicted probability of different temperature change risk periods falling within the humidity range of dew point fluctuation type, the adjustment requirement type of the humidity regulation device of the ring network box is determined.

[0038] It should be noted that the predicted environmental temperature is determined based on the weather forecast data of the environmental temperature of the ring network box on the current date. The temperature change risk period is the overlapping risk period when the deviation between the maximum and minimum values ​​of the predicted environmental temperature does not meet the requirements. In one possible embodiment, if the deviation between the maximum and minimum values ​​of the predicted environmental temperature is greater than 3 degrees Celsius in the overlapping risk period, then the overlapping risk period is determined to be the temperature change risk period.

[0039] It is understandable that by utilizing the predicted probabilities of different temperature change risk periods falling within humidity ranges of dew point fluctuation types, the adjustment demand type of the humidity control device of the ring network box can be determined, specifically including: Based on the predicted probability of different temperature change risk periods falling into the humidity range of dew point fluctuation type, the temperature change risk periods with predicted probabilities greater than the preset probability threshold are identified and regarded as overlapping risk periods. The time periods that all fall under the overlapping risk period are designated as the clustered overlapping period. The total duration of the clustered overlapping period is used to determine the adjustment requirement type of the humidity control device of the ring network box.

[0040] It should be noted that the overlapping risk period is the temperature change risk period with a predicted probability greater than 90%. When the maximum total duration of the overlapping periods is not less than the second preset duration threshold, and in one possible embodiment it is not less than 1 hour, the adjustment demand type of the humidity control device of the ring network box is determined to be a type one demand. When the maximum total duration of the overlapping periods is less than the preset duration threshold, the number of overlapping risk periods in the most recent preset period is obtained. When the number of overlapping risk periods in the most recent preset period does not meet the requirements, the adjustment demand type of the humidity control device of the ring network box is determined to be a type two demand. When the number of overlapping risk periods in the most recent preset period meets the requirements, the adjustment demand type of the humidity control device of the ring network box is determined to be a type three demand.

[0041] It should be noted that when there are at least two overlapping risk periods within a time interval of less than 3 hours between the current and future periods, the adjustment demand type of the humidity control device of the ring network box is determined to be a type II demand. Otherwise, the adjustment demand type of the humidity control device of the ring network box is determined to be a type III demand.

[0042] It should be further explained that when the temperature regulation demand type of the ring network box is a type 1 demand, the power supply processing strategy of the photovoltaic device is determined to be to perform energy storage processing of the battery. Before the battery reaches its rated capacity, i.e., the maximum capacity of the battery, the photovoltaic device is only needed to perform temperature regulation processing when the dew point temperature is reached.

[0043] Optionally, the method for determining the adjustment requirement type of the humidity control device of the ring network box is as follows: Based on the temperature variation of the ring network box under the weather data of the current date, the environmental prediction temperature of the ring network box during the overlapping risk period is determined, and the temperature variation during the overlapping risk period is determined using the environmental prediction temperature. Based on the probability of overlap between the overlapping risk period and humidity ranges of different fluctuation types, the predicted probability of the overlapping risk period falling within the humidity range of the dew point fluctuation type is determined. By utilizing the predicted probability and temperature variation of different overlapping risk time segments within the humidity range of dew point fluctuation type, the adjustment requirement type of the humidity regulation device of the ring network box is determined.

[0044] Specifically, the temperature variation is determined based on the difference between the maximum and minimum values ​​of the predicted environmental temperature during the overlapping risk period.

[0045] In another embodiment, the adjustment requirement type of the humidity regulation device of the ring network box is determined by using the predicted probability and temperature variation of different overlapping risk time segments within the humidity range of dew point fluctuation type. Specifically, this includes: By using the predicted probability of different overlapping risk time periods entering the humidity range of dew point fluctuation type and the amount of temperature change, the sum of the predicted probabilities of overlapping risk time periods entering the humidity range of dew point fluctuation type when the amount of temperature change is greater than a preset change threshold is determined. When the sum of the predicted probabilities of overlapping risk time periods entering the humidity range of dew point fluctuation type when the amount of temperature change is greater than the preset change threshold is greater than the first preset probability threshold, the number of overlapping risk time periods with large temperature changes and the overlapping probability are large. Then, the adjustment demand type of the humidity adjustment device of the ring network box is determined to be a type of demand. When the sum of the predicted probabilities of overlapping risk periods when the temperature change exceeds a preset change threshold and falls within the humidity range of the dew point fluctuation type is not greater than a first preset probability threshold, but greater than a second threshold probability threshold, then the adjustment demand type of the humidity adjustment device of the ring network box is determined to be a type II demand. Otherwise, the adjustment demand type of the humidity adjustment device of the ring network box is determined to be a type III demand.

[0046] Specifically, the method for determining the power supply processing strategy of the temperature regulation device of the photovoltaic device at different monitoring temperatures is as follows: Using the humidity monitoring data, determine the amount of change in the humidity monitoring data of the ring network box within the most recent preset time period; The humidity monitoring data is used to determine the duration during which the humidity monitoring data of the ring network box falls within the humidity range of the dew point fluctuation type in the most recent preset time period, and this duration is taken as the overlap time. Based on the aforementioned fluctuations, overlap durations, and adjustment demand types, the power supply processing strategy of the temperature regulation device for the photovoltaic device at different monitoring temperatures is determined.

[0047] It is understandable that when the overlap duration does not meet the requirements, that is, when the humidity monitoring data of the ring network box falls within the humidity range of dew point fluctuation type for a longer period of time in the most recent preset duration, the humidity inside the ring network box is abnormally high. If the proportion of the humidity monitoring data of the ring network box falling within the humidity range of dew point fluctuation type in the most recent preset duration is greater than 0.7, then the power supply strategy of the photovoltaic device is directly determined to be to use the photovoltaic device and the battery to simultaneously supply power to the dehumidification device of the ring network box. The preset duration is within the range of 1 hour.

[0048] It should also be noted that if the percentage of time during which the humidity monitoring data of the ring network box falls within the humidity range of dew point fluctuation type within the most recent preset time period is not greater than 0.7, and if it is not less than a preset threshold, that is, if the percentage of time during which the humidity monitoring data of the ring network box falls within the humidity range of dew point fluctuation type within the most recent preset time period is not less than 0.3, then, based on this, in order to ensure the reliability of humidity control, the power supply processing strategy of the photovoltaic device is determined to be energy storage processing of the battery. And before the battery power reaches the rated power, that is, the maximum power of the battery, the temperature regulation processing of the photovoltaic device is only required when the dew point temperature is reached.

[0049] Furthermore, if the percentage of time during which the humidity monitoring data of the ring network box falls within the humidity range of the dew point fluctuation type within the most recent preset time period is less than 0.3, and the adjustment demand type of the humidity adjustment device of the ring network box is type II adjustment demand, then it is determined that the risk of condensation occurring in the future period is relatively high. Therefore, based on this, regardless of the amount of change and the overlap duration, in order to ensure the reliability of humidity control, the power supply processing strategy of the photovoltaic device is determined to be to perform energy storage processing of the battery. And before the battery power reaches the rated power, that is, the maximum power of the battery, the photovoltaic device is only needed to perform temperature adjustment processing when the dew point temperature is reached.

[0050] Furthermore, it is understood that when the humidity regulation demand type of the ring network box is type three, the risk of condensation in the future period is relatively low. In this case, it is necessary to further determine the overlap duration. When there is an overlap duration, meaning the percentage of time the humidity monitoring data of the ring network box falls within the humidity range of the dew point fluctuation type within the most recent preset duration is no greater than 0.1%, if the change in humidity monitoring data of the ring network box within the most recent preset duration does not meet the requirements (i.e., the change in humidity monitoring data within the most recent preset duration is greater than 5%), then the humidity fluctuation is relatively drastic. Therefore, to ensure the reliability of humidity control, the power supply strategy of the photovoltaic device is determined to be battery energy storage. Before the battery reaches its rated capacity (i.e., the maximum battery capacity), the photovoltaic device is only needed for temperature regulation when the dew point temperature is reached.

[0051] It should also be noted that if the change in humidity monitoring data within the most recent preset time period is no more than 5%, and the humidity is not within the humidity range of dew point fluctuation type, then the power supply processing strategy of the photovoltaic device is determined based on the monitoring temperature inside the ring network box. However, if it is within the humidity range of dew point fluctuation type, then in order to ensure the reliability of humidity control, the power supply processing strategy of the photovoltaic device is determined to be energy storage processing of the battery. Before the battery charge reaches the rated charge, i.e., the maximum charge of the battery, the temperature regulation processing of the photovoltaic device is only required when the dew point temperature is reached.

[0052] Specifically, the power supply strategy for the photovoltaic device is determined based on the monitored temperature inside the ring main unit, including: When the difference between the monitored temperature inside the ring main unit and the temperature of the inner wall of the ring main unit exceeds a preset temperature threshold (i.e., greater than 6 degrees Celsius), the photovoltaic device and the battery are simultaneously controlled to adjust the temperature using the temperature regulation device. This ensures that the difference between the monitored temperature inside the ring main unit and the temperature of the inner wall of the ring main unit does not exceed the preset temperature threshold. Conversely, when the difference between the monitored temperature inside the ring main unit and the temperature of the inner wall of the ring main unit exceeds the preset temperature threshold, only the photovoltaic device needs to adjust the temperature using the temperature regulation device to control the monitored temperature inside the ring main unit.

[0053] It should be noted that when the power supply strategy of the photovoltaic device is to store energy in the battery, and the battery capacity reaches its rated capacity (i.e., the maximum capacity of the battery), the photovoltaic device is only required to regulate the temperature when the dew point temperature is reached. If the battery capacity has reached its maximum, the power supply strategy of the photovoltaic device is determined based on the monitored temperature inside the ring network box.

[0054] In another embodiment, the method for determining the power supply processing strategy of the temperature regulation device of the photovoltaic device at different monitoring temperatures is as follows: Using the humidity monitoring data, determine the humidity of the ring network box at the current moment; The humidity monitoring data is used to determine the duration during which the humidity monitoring data of the ring network box falls within the humidity range of the dew point fluctuation type in the most recent preset time period, and this duration is taken as the overlap time. Based on the humidity, overlap duration, and adjustment requirement type, the power supply processing strategy of the temperature regulation device of the photovoltaic device at different monitoring temperatures is determined.

[0055] Specifically, when the overlap duration does not meet the requirements, that is, when the humidity monitoring data of the ring network box falls within the humidity range of dew point fluctuation type for a longer period of time in the most recent preset duration, the humidity inside the ring network box is abnormally high. If the proportion of the humidity monitoring data of the ring network box falling within the humidity range of dew point fluctuation type in the most recent preset duration is greater than 0.7, then the power supply strategy of the photovoltaic device is directly determined to be to use the photovoltaic device and the battery to simultaneously supply power to the dehumidification device of the ring network box. The preset duration is within the range of 1 hour.

[0056] Specifically, when the overlap time meets the requirements, if the humidity of the ring network box at the current moment is within the humidity range of the dew point fluctuation type, in order to ensure the reliability of humidity control, the power supply processing strategy of the photovoltaic device is determined to be to perform energy storage processing of the battery. Before the battery power reaches the rated power, that is, the maximum power of the battery, the photovoltaic device is only needed to perform temperature regulation processing when the dew point temperature is reached.

[0057] If the humidity is not within the range of the dew point fluctuation type, and the adjustment demand type of the humidity regulation device of the ring network box is type II, then it is determined that the risk of condensation in the future period is relatively high. Therefore, based on this, regardless of the amount of change and the duration of overlap, in order to ensure the reliability of humidity control, the power supply processing strategy of the photovoltaic device is determined to be to perform energy storage processing of the battery. Before the battery power reaches the rated power, that is, the maximum power of the battery, the photovoltaic device is only needed to perform temperature regulation processing when the dew point temperature is reached.

[0058] If the humidity regulation requirement type of the ring network box is three types, and if the duration of the humidity monitoring data of the ring network box within the most recent preset time period falling within the humidity range of the dew point fluctuation type is not less than 0.3%, then, based on this, in order to ensure the reliability of humidity control, the power supply processing strategy of the photovoltaic device is determined to be to perform energy storage processing of the battery. Before the battery power reaches the rated power, i.e. the maximum power of the battery, the photovoltaic device is only needed to perform temperature regulation processing when the dew point temperature is reached. In other cases, the power supply processing strategy of the photovoltaic device is determined according to the monitoring temperature inside the ring network box.

[0059] Example 2 On the other hand, such as Figure 4 As shown, this invention provides a ring main unit applied to the aforementioned power supply strategy optimization method for condensation control, specifically including: Dehumidification devices, temperature control devices, temperature monitoring devices, humidity monitoring devices, photovoltaic devices, and storage batteries; The dehumidification device is responsible for dehumidifying the ring network box, the temperature regulation device is responsible for regulating the temperature of the ring network box, the temperature monitoring device is responsible for monitoring the temperature inside the ring network box and the temperature of the inner wall, the humidity monitoring device is responsible for monitoring the humidity inside the ring network box, and the photovoltaic device charges the battery and supplies power to the dehumidification device, temperature regulation device, temperature monitoring device, and humidity monitoring device together with the battery and the mains power.

[0060] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0061] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0062] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A power supply strategy optimization method for condensation control, characterized in that, Specifically, it includes: Using the monitoring data of the dew point temperature of the ring network box, determine the variation of the dew point temperature in each ring network box within the humidity range, and determine the fluctuation type within the humidity range based on the variation of the dew point temperature. Based on the humidity monitoring data of the ring network box, determine the probability of the ring network box overlapping with humidity ranges of different fluctuation types in the future preset time period. When the distribution data of the overlap risk period in the future preset time period determined by the overlap probability meets the requirements, proceed to the next step. Based on the temperature variation of the ring main unit under the weather data of the current date, and based on the overlap probability of the overlapping risk period and the humidity range of different fluctuation types, the adjustment demand type of the humidity adjustment device of the ring main unit is determined. Using the adjustment demand type and humidity monitoring data, the power supply processing strategy of the temperature adjustment device of the photovoltaic device at different monitoring temperatures is determined.

2. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The dew point temperature is the temperature at which air reaches saturation under constant air pressure and humidity and temperature conditions.

3. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The variation of dew point temperature within the specified humidity range is determined based on the variation of dew point temperature within the specified humidity range as the temperature of the ring main unit changes.

4. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The method for determining the fluctuation type within the humidity range is as follows: Based on the variation of dew point temperature in each ring network box within the humidity range, the rate of change of dew point temperature with temperature variation within the humidity range is determined. The fluctuation type within the humidity range is determined based on the rate of change.

5. The power supply strategy optimization method for condensation control as described in claim 4, characterized in that, When the rate of change of dew point temperature within the humidity range does not meet the requirements, the fluctuation type within the humidity range is determined to be the dew point fluctuation type.

6. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The probability of overlap of the humidity ranges of the fluctuation type is determined based on the weather data and the humidity monitoring data of the ring network box, which determines the probability range corresponding to the predicted humidity in different future time periods.

7. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The overlapping risk period is the period during which the predicted probability of the predicted humidity falling within the humidity range of the dew point fluctuation type does not meet the requirements.

8. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The distribution data of overlapping risk periods in the future preset time period must meet the requirements, specifically including: Based on the distribution data of overlapping risk periods in a future preset period, determine the number of overlapping risk periods in the future preset period; Based on the distribution data of the overlapping risk periods, the interval between different overlapping risk periods is determined, and the cluster risk period is determined by using the interval between different overlapping risk periods. By utilizing the time interval between the clustered risk period and the current period, it is determined whether the distribution data of overlapping risk periods in the future preset period meet the requirements.

9. The power supply strategy optimization method for condensation control as described in claim 1, characterized in that, The method for determining the power supply processing strategy of the temperature regulation device of the photovoltaic device at different monitoring temperatures is as follows: Using the humidity monitoring data, determine the amount of change in the humidity monitoring data of the ring network box within the most recent preset time period; The humidity monitoring data is used to determine the duration during which the humidity monitoring data of the ring network box falls within the humidity range of the dew point fluctuation type in the most recent preset time period, and this duration is taken as the overlap time. Based on the aforementioned fluctuations, overlap durations, and adjustment demand types, the power supply processing strategy of the temperature regulation device for the photovoltaic device at different monitoring temperatures is determined.

10. A ring main unit, employing the power supply strategy optimization method for condensation control as described in any one of claims 1-9, characterized in that, Specifically, it includes: Dehumidification devices, temperature control devices, temperature monitoring devices, humidity monitoring devices, photovoltaic devices, and storage batteries; The dehumidification device is responsible for dehumidifying the ring network box, the temperature regulation device is responsible for regulating the temperature of the ring network box, the temperature monitoring device is responsible for monitoring the temperature inside the ring network box and the temperature of the inner wall, the humidity monitoring device is responsible for monitoring the humidity inside the ring network box, and the photovoltaic device charges the battery and supplies power to the dehumidification device, temperature regulation device, temperature monitoring device, and humidity monitoring device together with the battery and the mains power.

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