Heating treatment method and device of photovoltaic water heater and storage medium

Abstract

The application provides a heating treatment method and device of a photovoltaic water heater and a storage medium. The historical water use information of a user to which the photovoltaic water heater belongs is acquired, and for a prediction day in a prediction period, a target energy value corresponding to the prediction day is acquired according to the historical water use information, and the illumination intensity and the illumination duration corresponding to the prediction day are acquired, so as to determine whether to start the photovoltaic heating mode according to the illumination intensity of the prediction day and a preset voltage threshold value for starting the photovoltaic heating mode. If it is determined to start the photovoltaic heating mode, a first energy value generated based on the illumination intensity and the illumination duration corresponding to the prediction day when the photovoltaic water heater starts the photovoltaic heating mode on the prediction day is acquired, and it is determined whether the first energy value is greater than or equal to the target energy value. If yes, the photovoltaic heating mode is set to start heating treatment on the prediction day. By using the method provided in the application, energy can be saved, and the service life of the photovoltaic water heater can be prolonged.

Description

TECHNICAL FIELD

[0001] The present application relates to a water heater technology, and in particular to a heating processing method and device of a photovoltaic water heater and a storage medium. BACKGROUND

[0002] With the development of photovoltaic technology and the popularity of water heaters, photovoltaic water heaters have gradually entered people's lives. The heating mode of the photovoltaic water heater includes a photovoltaic heating mode, a mains heating mode, and a mixed mode of photovoltaic heating and mains heating. How to control the photovoltaic water heater to adopt an effective heating mode to heat the water in the water heater to achieve both energy saving and efficiency improvement is a problem that people are concerned about.

[0003] In the prior art, the photovoltaic water heater determines whether to start the photovoltaic heating mode according to the light intensity on the photovoltaic panel. When the photovoltaic water heater cannot start the photovoltaic heating mode or after starting the photovoltaic heating mode, the water in the inner container of the photovoltaic water heater cannot be heated to a certain water temperature, and the mains heating mode is used to heat the water in the inner container of the photovoltaic water heater.

[0004] However, since the height of the sun is not fixed every day, the light intensity received by the photovoltaic panel of the photovoltaic water heater is also not fixed, and it may appear that the light intensity is large enough to start the photovoltaic heating mode for a while, and the light intensity is small enough to start the photovoltaic heating mode for a while. Only the mains heating mode can be started, which leads to frequent switching of the photovoltaic heating mode and the mains heating mode of the photovoltaic water heater, and further leads to frequent switching of the relay for controlling the heating mode of the photovoltaic water heater, which reduces the service life of the relay and further reduces the service life of the photovoltaic water heater. SUMMARY

[0005] The present application provides a heating processing method, device and storage medium of a photovoltaic water heater to solve the problem of complicated heating processing of the photovoltaic water heater and relatively low service life of the photovoltaic water heater.

[0006] In a first aspect, the present application provides a heating processing method of a photovoltaic water heater, comprising:

[0007] Collecting historical water use information of a user to which the photovoltaic water heater belongs;

[0008] For a prediction day in a prediction period, according to the historical water use information, a target energy value corresponding to the prediction day is obtained, and the light intensity and light duration corresponding to the prediction day are obtained, so as to determine whether to start the photovoltaic heating mode according to the light intensity of the prediction day and a preset voltage threshold for starting the photovoltaic heating mode;

[0009] If it is judged to start the photovoltaic heating mode, a first energy value generated by the photovoltaic water heater when starting the photovoltaic heating mode on the predicted day is obtained based on the corresponding illumination intensity and illumination duration of the predicted day, and it is judged whether the first energy value is greater than or equal to the target energy value.

[0010] If it is greater than or equal to, the photovoltaic heating mode is set to start on the predicted day to perform the heating treatment.

[0011] In a second aspect, the present application provides a heating treatment device of a photovoltaic water heater, comprising:

[0012] An acquisition module is configured to collect historical water use information of a user to which the photovoltaic water heater belongs.

[0013] A judgment module is configured to, for a predicted day in a predicted period, acquire a target energy value corresponding to the predicted day according to the historical water use information, and acquire corresponding illumination intensity and illumination duration of the predicted day, so as to judge whether to start the photovoltaic heating mode according to the illumination intensity of the predicted day and a preset voltage threshold value for starting the photovoltaic heating mode.

[0014] The judgment module is further configured to, if it is judged to start the photovoltaic heating mode, acquire a first energy value generated by the photovoltaic water heater when starting the photovoltaic heating mode on the predicted day based on the corresponding illumination intensity and illumination duration of the predicted day, and judge whether the first energy value is greater than or equal to the target energy value.

[0015] A processing module is configured to, if it is greater than or equal to, set the photovoltaic heating mode to start on the predicted day to perform the heating treatment.

[0016] In a third aspect, the present application provides an electronic device, comprising a processing device and a memory.

[0017] The memory stores computer execution instructions.

[0018] The processing device executes the computer execution instructions stored in the memory, so that the processing device executes the detection method according to any one of the preceding aspects.

[0019] In a fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores computer execution instructions, and the computer execution instructions are used to implement the detection method according to any one of the preceding aspects when executed by a processing device.

[0020] In a fifth aspect, the present application provides a computer program product, comprising a computer program, and the computer program is used to implement the method according to any one of the preceding aspects when executed by a processing device.

[0021] This application provides a heating treatment method, apparatus, and storage medium for a photovoltaic water heater. By collecting historical water usage information of the user to whom the photovoltaic water heater belongs, and for a predicted day in the prediction cycle, based on the historical water usage information, the target energy value corresponding to the predicted day is obtained, along with the corresponding light intensity and duration. Based on the light intensity of the predicted day and a preset voltage threshold for activating the photovoltaic heating mode, it is determined whether to activate the photovoltaic heating mode. If the photovoltaic heating mode is determined to be activated, a first energy value is obtained based on the corresponding light intensity and duration on the predicted day when the photovoltaic water heater activates the photovoltaic heating mode, and it is determined whether the first energy value is greater than or equal to the target energy value. If it is greater than or equal to the target energy value, then the photovoltaic heating mode is activated on the predicted day for heating treatment. Compared to existing technologies that may require frequent switching of heating modes based on solar radiation intensity, this application determines whether to activate the photovoltaic heating mode based on the predicted solar radiation intensity, duration of sunlight, and voltage threshold for activating the photovoltaic heating mode. When the photovoltaic heating mode can be activated, the water heater operates according to the predicted heating mode on the predicted day. This eliminates the need for frequent switching of heating modes due to real-time monitoring of solar radiation intensity, thus simplifying the photovoltaic water heater heating process and effectively extending the service life of the photovoltaic water heater. Attached Figure Description

[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0023] Figure 1 This is a schematic diagram of a network architecture on which this application is based;

[0024] Figure 2 A schematic flowchart illustrating a heating process for a photovoltaic water heater provided in this application;

[0025] Figure 3 A schematic flowchart of another photovoltaic water heater heating method provided in this application;

[0026] Figure 4 This is a schematic diagram of a historical water consumption curve provided in this application;

[0027] Figure 5 This application provides a schematic diagram of the structure of a heating treatment device for a photovoltaic water heater.

[0028] Figure 6 A schematic diagram of the hardware structure of the electronic device provided in this application. Detailed Implementation

[0029] The exemplary embodiments will be described in detail herein with reference to the attached drawings. In the following description, like reference numerals refer to like elements unless indicated otherwise. The following description of exemplary embodiments is not representative of all possible embodiments consistent with the present application. Rather, it is merely an example of apparatus and methods consistent with some aspects of the present application as detailed in the appended claims.

[0030] With the development of computer technology and photovoltaic water heater technology, photovoltaic water heaters have entered the lives of the public due to their energy-saving advantages and have become indispensable household appliances in people's daily lives. In the prior art, the photovoltaic water heater can only start the photovoltaic heating mode when the photovoltaic panel collects sufficient light intensity, otherwise the mains heating mode needs to be started to heat the water in the inner tank of the photovoltaic water heater. However, when the light intensity fluctuates, the photovoltaic water heater may switch between the photovoltaic heating mode and the mains heating mode, which may damage the relay inside the photovoltaic water heater and reduce the service life of the photovoltaic water heater.

[0031] Based on the problems in the prior art described above, the present application is to optimize the heating of the water in the inner tank of the photovoltaic water heater to solve the problem of frequent switching of the photovoltaic water heater due to the influence of light intensity, thereby reducing the service life of the photovoltaic water heater.

[0032] The technical solutions of the embodiments of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0033] Reference Figure 1 , Figure 1 The control system of the photovoltaic water heater to which the present application is applied is shown in the structural schematic diagram as Figure 1 indicated, which includes a server 11, a photovoltaic water heater 12, a terminal 13 and a heating processing device 14.

[0034] The server 11 is specifically a server cluster capable of processing massive data. The photovoltaic water heater 12 is specifically an intelligent photovoltaic water heater. The intelligent photovoltaic water heater 12 is integrated or installed with the heating processing device 14 provided by the present application. In addition, based on network communication, the photovoltaic water heater 12 can upload the running data during the equipment running to the server 11, or can obtain relevant data from the server 11 for use by the heating processing device 14, thereby determining the heating processing mode of the photovoltaic water heater.

[0035] The terminal 13 can be specifically a user mobile phone, a desktop computer, a tablet computer or the like hardware device, and an application APP is carried or installed on the terminal 13, the application APP provides a UI interface so that the user can receive information sent by the server 11 through the UI interface, and / or control the photovoltaic water heater 12 to perform operations including temperature control, device switching and the like through the UI interface.

[0036] Specifically, based on the near field communication technology or the local area network communication technology, the application APP on the terminal 13 can be bound to communicate with the photovoltaic water heater 12, and data interaction can be performed. By using network communication, the terminal 13 can also upload the binding relationship between the photovoltaic water heater 12 to the server 1, so that the server 11 stores and uses.

[0037] Example One

[0038] Figure 2 A flowchart of a heating processing method of a photovoltaic water heater provided in the present application is shown in FIG. 1. Figure 2 The method comprises the following steps.

[0039] In step 201, historical water use information of a user to which the photovoltaic water heater belongs is collected.

[0040] In the embodiment, a Hall sensor is arranged near a water outlet of the photovoltaic water heater to collect a water flow value of the user to which the photovoltaic water heater belongs. In addition, temperature sensors are arranged near the water outlet and a water inlet to collect outlet water temperature and inlet water temperature of the user to which the photovoltaic water heater belongs. In addition, the water use information collected by the Hall sensor and the temperature sensors can be used as historical water use information, and the collected historical water use information can be periodically made into a graph, that is, according to the water flow and the water use time period in the historical use information of the user, the water flow is used as the Y axis, and the water use time period is used as the X axis, a water use graph of the water flow and the water use time period is drawn, so that the water use habit of the user can be more intuitively reflected.

[0041] Further, the "photovoltaic water heater ID, user ID, water use date, water flow, outlet water temperature, inlet water temperature, water use time period" can be stored in the server in real time or periodically, or the graph can be directly reported to the server for storage.

[0042] In step 202, for a prediction day in a prediction period, a target energy value corresponding to the prediction day is obtained according to the historical water use information, and the illumination intensity and the illumination time length corresponding to the prediction day are obtained, so that whether to start the photovoltaic heating mode is judged according to the illumination intensity of the prediction day and a preset voltage threshold value for starting the photovoltaic heating mode.

[0043] In the embodiment, the photovoltaic water heater can predict the daily light intensity and light duration in a future period of time, and configure the heating mode in advance. For example, the prediction period can be to predict the daily light intensity and light duration in the next week, and configure the corresponding heating mode. Specifically, for each day of the prediction period, taking Monday of the next week as an example, first, the corresponding target energy value of the next Monday can be obtained according to the water use information of this Monday, and the light intensity and light duration corresponding to the next Monday are obtained, and then the light intensity and the preset voltage threshold for starting the photovoltaic heating mode are used to determine whether to start the photovoltaic heating mode.

[0044] Step 203, if it is determined to start the photovoltaic heating mode, the first energy value generated based on the light intensity and light duration corresponding to the prediction day when the photovoltaic water heater starts the photovoltaic heating mode on the prediction day is obtained.

[0045] Step 204, determine whether the first energy value is greater than or equal to the target energy value. If greater than or equal to, execute step 205; if less than, execute step 206.

[0046] Step 205, set to start the photovoltaic heating mode for heating processing on the prediction day. End.

[0047] Step 206, obtain the energy difference between the target energy value and the first energy value, and set to start the photovoltaic heating mode for heating processing on the prediction day, and start the city power heating mode to replace the photovoltaic heating mode for heating processing at the replacement time set according to the historical water use information.

[0048] In order to further determine the heating processing process of the photovoltaic water heater in the prediction day, the photovoltaic water heater also needs to obtain the first energy value generated by starting the photovoltaic heating mode under the aforementioned light intensity in the prediction day. In step 203, after the heating processing device obtains the first energy value, the first energy value is compared with the aforementioned target energy value to determine whether the first energy value is greater than or equal to the target energy value, that is, whether the first energy value can meet the user's water demand in the prediction day, and according to the comparison result, there are two cases:

[0049] The first case: if greater than or equal to, continue to execute step 204, in the prediction day, only the photovoltaic heating mode is used for heating processing to meet the user's water demand in the prediction day.

[0050] The second case: if less than, in step 205: first calculate the energy difference between the target energy value and the first energy value, that is, through the difference value calculation to confirm the gap value from the target energy value required by the user to use water, to determine the energy value required to start the city power heating mode. Combined with the target time period and the light duration determined in the preceding, determine the replacement time of starting the city power heating mode. Finally, determine to start the photovoltaic heating mode of the photovoltaic water heater first in the predicted day for heating treatment, and then start the city power heating mode at the replacement time for heating treatment.

[0051] In the embodiment, by collecting the historical water use information of the user to which the photovoltaic water heater belongs, and for the predicted day in the prediction period, according to the historical water use information, the target energy value corresponding to the predicted day is obtained, and the light intensity and light duration corresponding to the predicted day are obtained, so as to determine whether to start the photovoltaic heating mode according to the light intensity of the predicted day and the preset voltage threshold value of starting the photovoltaic heating mode; if it is determined to start the photovoltaic heating mode, the first energy value generated based on the light intensity and light duration corresponding to the predicted day when the photovoltaic water heater starts the photovoltaic heating mode in the predicted day is obtained, and it is determined whether the first energy value is greater than or equal to the target energy value; if greater than or equal to, set to start the photovoltaic heating mode in the predicted day for heating treatment; if less than, the energy difference between the target energy value and the first energy value is obtained, and the photovoltaic heating mode is set to start in the predicted day for heating treatment, and the city power heating mode is set to start at the replacement time set according to the historical water use information to replace the photovoltaic heating mode for heating treatment. Compared with the prior art based on the sunlight intensity, which may cause frequent switching of the heating mode, the present application can determine whether to start the photovoltaic heating mode based on the light intensity, light duration and voltage threshold value of starting the photovoltaic heating mode corresponding to the predicted day, and when the photovoltaic heating mode can be started, the water heater is operated according to the heating treatment of the heating mode in the predicted day, so that it is not necessary to monitor the light intensity of the day in real time to frequently switch the heating mode, thereby not only simplifying the heating treatment process of the photovoltaic water heater, but also effectively prolonging the service life of the photovoltaic water heater.

[0052] Example Two

[0053] Figure 3 Another flowchart of the heating treatment method of the photovoltaic water heater provided in the present application, the method comprises:

[0054] Step 301, collect the historical water use information of the user to which the photovoltaic water heater belongs.

[0055] Step 302, according to the historical water use information, a historical day corresponding to the prediction day is obtained, and the temperature difference between the water temperature and the inlet water temperature in the historical day water use information is obtained, so as to obtain the target energy value according to the temperature difference, the water use time period in the historical day water use information, the historical water flow, the density of water and the specific heat capacity of water.

[0056] In the embodiment, the photovoltaic water heater needs to obtain the historical water use information of the user to which it belongs, and obtain the water temperature and the inlet water temperature in the historical day water use information corresponding to the prediction day according to the prediction day. After the heating treatment device receives these information, the temperature difference between the water temperature and the inlet water temperature is calculated, and then the historical water flow of the user in the historical day is determined according to the water curve in the historical day. Finally, based on the temperature difference, the historical water flow, the density of water and the specific heat capacity of water, the product value of these parameters is calculated to obtain the target energy value.

[0057] For example, if the prediction day is Monday, the historical day corresponding to it is the water use information on Monday in the historical water use information. Among the many historical Mondays, the outlet water temperature and the inlet water temperature in the water use information of any historical Monday are obtained, the difference between the two temperatures is calculated, or the average outlet water temperature and the average inlet water temperature in the water use information of many historical Mondays are calculated, so as to determine the temperature difference between the outlet water temperature and the inlet water temperature when the prediction day is Monday, and then obtain one of the factors related to the target energy value when the prediction day is Monday.

[0058] Furthermore, for the water use information of the historical Monday, the flow data and the water use time period data in the historical Monday water use information are plotted into the water curve related to the historical Monday by using the water curve drawing method in the above embodiment, and the integral processing method is used for the water curve, that is, the time in the water curve is integrated to obtain the water flow value when the prediction day is Monday, which is another factor related to the target energy value when the prediction day is Monday.

[0059] Then, based on the specific heat capacity of water and the density of water, the photovoltaic water heater calculates the product of the temperature difference and the water flow value, the density of water and the specific heat capacity of water, and the product value is the target energy value when the prediction day is Monday.

[0060] For example, if the predicted date is June 27, 2022 (Monday), the heating device selects any historical Monday from a pool of historical Monday water usage information. For instance, it might select the closest historical Monday adjacent to the predicted date, May 23, with the following water usage information: outlet water temperature 60°C, inlet water temperature 15°C, water flow rate 5L / min, and water usage time from 8:00 PM to 8:30 PM. Based on this information, the device calculates the temperature difference between the water temperature and the outlet water temperature to be 45°C, thus identifying a factor related to the target energy value for the predicted date.

[0061] Figure 4 This is a schematic diagram of a historical water usage curve provided in this application, such as... Figure 4 As shown, the horizontal axis represents time information, and the vertical axis represents water flow information. Figure 4 When the curve shown has a non-zero value, it indicates that the user has used water from the photovoltaic water heater at that time. An integral processing method is used to... Figure 4 The curve shown is subjected to integration, i.e., calculation. Figure 4 The area enclosed by the curve is 60. Based on this, the user's water consumption between 8:00 PM and 8:30 PM is determined to be 60L. This provides another factor related to the target energy value for the predicted day.

[0062] Based on the specific heat capacity of water being 4.2 × 1 3 0 J / (kg×℃), the density of water is 1×10 3 kg / m 3 The product of this energy value and the temperature difference and water consumption was calculated to obtain the target energy value of 3.15 kW·h.

[0063] Step 303: Obtain the weather conditions for the predicted day, and based on the latitude and longitude of the photovoltaic panel installation location corresponding to the photovoltaic water heater, predict the weather conditions and the solar term of the predicted day, as well as the altitude of the sun on the predicted day, obtain the corresponding light intensity for the predicted day.

[0064] In this embodiment, the heating treatment device can obtain the weather conditions of the predicted day from the server; or access the corresponding meteorological website through the weather interface, and determine the weather conditions of the predicted day in the meteorological website according to the date of the predicted day, such as predicting that the weather conditions on June 27, 2022 will be sunny.

[0065] To obtain more accurate information on the predicted solar intensity and duration, photovoltaic water heaters can further determine the latitude and longitude of the photovoltaic panels and the corresponding solar term for the predicted day. The specific process for determining the latitude and longitude of the photovoltaic panels and the corresponding solar term for the predicted day is as follows:

[0066] Specifically, the GPS locator is arranged on the photovoltaic panel of the intelligent photovoltaic water heater in the embodiment, and the longitude and latitude of the installation position of the photovoltaic panel are determined according to the locator and the Beidou navigation system. The photovoltaic water heater determines the solar term in which the prediction day is located by using a solar term algorithm according to the date of the prediction day.

[0067] The solar term algorithm specifically refers to determining the solar term in which the current date is located according to the specific date. The solar term algorithm can have various implementation manners. In an optional implementation manner, it is specified that each month has one solar term in the first half of the month and one solar term in the second half of the month, and in the first half of the year, the first solar term of the month is located from the 3rd to the 7th of the first half of the month, and the second solar term of the month is located from the 18th to the 22nd of the second half of the month; and in the second half of the year, the first solar term of the month is located from the 6th to the 9th of the first half of the month, and the second solar term of the month is located from the 21st to the 24th of the second half of the month. The photovoltaic water heater first determines the solar term in each month, then determines whether the prediction day belongs to the first half of the year or the second half of the year, and then continues to determine whether the specific date of the prediction day is in the range of the above first / second half of the month, to determine the specific solar term of the prediction day.

[0068] For example, it is assumed that the date of the prediction day is June 27, 2022, the heating processing device determines that the solar term of June 2022 should be the Grain in Ear and the Summer Solstice, then determines that June 23, 2022 belongs to the second half of June, and then determines that the specific date of the prediction day exceeds the date of the solar term in the second half of the month in the second half of the year, so the solar term of the prediction day should be the Summer Solstice.

[0069] More specifically, the heating processing device calculates the difference between 90 and the difference between the local latitude and the latitude of the sun's direct point, to determine the sun's height on the prediction day, according to the information that the photovoltaic panel of the photovoltaic water heater is installed in Beijing, the weather condition of the prediction day is sunny, and the solar term to which the prediction day belongs is the Summer Solstice. Then, the sunlight intensity of the prediction day is obtained in the sun's height-sunlight intensity corresponding table based on the sun's height on the prediction day.

[0070] In step 304, the sunlight duration corresponding to the photovoltaic panel is obtained according to the floor on which the photovoltaic panel is installed, the distance between the floor on which the photovoltaic panel is installed and the previous floor, and the duration of the sun's radiation on the prediction day.

[0071] In the embodiment, after obtaining the sunlight intensity, the heating processing device also needs to determine the sunlight duration on the prediction day. In the embodiment, the photovoltaic water heater receives the floor height on which the photovoltaic panel is installed, the installation angle, the distance between the floor on which the photovoltaic panel is installed and the previous floor, and the height of the previous floor, which are input by the user through the UI interface of the APP of the terminal device, to obtain the sunlight duration corresponding to the photovoltaic panel.

[0072] For example, assume that the latitude and longitude of the installation location of the photovoltaic water heater are: 39.9" north latitude and 116.3" east longitude, i.e., the location is in Beijing; the installation location is on the 9th floor (the height of each floor is 3 meters), the installation angle is 90- the solar elevation angle, the distance between the floor where the photovoltaic panel is installed and the front building is 40 meters, and the number of floors of the front building is 20 (the floor height is 3 meters). The processing device will calculate the corresponding light duration of the photovoltaic panel according to the sun of Beijing on the summer solstice as follows:

[0073] At 8 o'clock in the morning, the floors with sunlight are 20- (40*tan34°) / 3 = 11;

[0074] At 9 o'clock in the morning, the floors with sunlight are 20- (40*tan46°) / 3 = 6;

[0075] At 10 o'clock in the morning, the floors with sunlight are 20- (40*tan56°) / 3 = 0;

[0076] At 3 o'clock in the afternoon, the floors with sunlight are 20- (40*tan52°) / 3 = 3;

[0077] At 4 o'clock in the afternoon, the floors with sunlight are 20- (40*tan41°) / 3 = 8;

[0078] At 5 o'clock in the afternoon, the floors with sunlight are 20- (40*tan29°) / 3 = 12.

[0079] Since the floor where the photovoltaic panel is installed is the 9th floor, and the duration of the above floors with sunlight is lower than the 9th floor from 9 o'clock in the morning to 4 o'clock in the afternoon. Based on the light collected by the low floor, in the case that the solar elevation is high enough, the high floor compared to the low floor can also collect light, so the heating processing device can determine that the corresponding light duration of the photovoltaic panel is 8 hours.

[0080] In this embodiment, after the heating processing device determines the target energy value of the predicted day, the weather condition of the predicted day is obtained, and the light intensity of the predicted day is determined according to the latitude and longitude of the installation location of the photovoltaic panel and the solar term where the predicted day is located. Then, the light duration corresponding to the photovoltaic panel in the predicted day is determined in combination with the installation location of the photovoltaic panel, the height of the front shelter and the distance from the front shelter. Further, the light intensity and the light duration obtained by the heating processing device lay a foundation for judging whether the heat generated by the photovoltaic heating mode can meet the target energy value.

[0081] Step 305, obtain the voltage threshold corresponding to the light intensity of the predicted day, and determine whether the voltage threshold is greater than or equal to the preset voltage threshold for starting the photovoltaic heating mode. If it is less than, step 306 is performed; if it is greater than or equal to, steps 307 to 309 are performed.

[0082] Step 306, set in the forecast day, start the city power heating mode to carry out heating treatment. End.

[0083] Step 307, set in the forecast day, start the photovoltaic heating mode to carry out heating treatment, and calculate the product of the photovoltaic heating power of the starting photovoltaic heating mode, the electric heating energy conversion rate and the light duration to obtain the first energy value.

[0084] Step 308, calculate the energy difference value of the target energy value and the first energy value, and judge whether the energy difference value is less than 0. If yes, set in the forecast day, first start the photovoltaic heating mode to carry out heating treatment, and then start the city power heating mode to carry out heating treatment.

[0085] In the embodiment, the voltage threshold and the light intensity-voltage value correspondence table are pre-set in the photovoltaic water heater, and the voltage threshold and the light intensity-voltage value correspondence table are both set by empirical values, which are used as the basis for judging whether to start the photovoltaic heating mode. The heating treatment device traverses the solar light intensity-voltage value correspondence table according to the light intensity information to obtain the voltage value of the forecast day, and judges whether to start the photovoltaic heating mode to carry out heating treatment according to the voltage value. The judgment result can be divided into the following two cases:

[0086] Case one: if the voltage value of the forecast day is less than the voltage threshold, it indicates that the voltage value generated by the light intensity collected by the photovoltaic panel in the forecast day is not enough to start the photovoltaic heating mode, and the processing device determines to start the city power heating mode to carry out heating treatment before the corresponding water time period in the forecast day.

[0087] Case two: if the voltage value of the forecast day is greater than or equal to the voltage threshold, the heating treatment device determines to start the photovoltaic heating mode in the forecast day, and calculates the first energy value generated by starting the photovoltaic heating mode in the forecast day.

[0088] Specifically, the heating treatment device obtains the three parameters of the photovoltaic heating power of the photovoltaic heating mode, the electric heating energy conversion rate and the light duration of the forecast day, calculates the product of the three parameters to obtain the first energy value.

[0089] More specifically, the heating treatment device calculates the energy difference value of the target energy value and the first energy value obtained as described above, and judges whether the energy difference value is greater than 0. If yes, it indicates that the energy value generated by the photovoltaic heating mode to carry out heating treatment cannot meet the target energy value, and the city power heating mode is also needed to carry out heating treatment.

[0090] For example, as described above, the example predicts that the solar light intensity of the photovoltaic panel on June 23 is 60000 lx, and the corresponding voltage value is 34 V, and the voltage threshold is set to 32.03 V. Based on this, it can be known that the voltage value of the prediction day is greater than the voltage threshold, and the heating treatment device determines to start the photovoltaic heating mode in the prediction day to perform the heating treatment operation.

[0091] Next, when the heating treatment device obtains that the photoelectric heating power of the photovoltaic water heater is 330 W, the electric heating energy conversion rate is 98%, and the illumination time length of the prediction day is 8 hours, the photovoltaic water heater calculates that the first energy value generated by starting the photovoltaic heating mode is 2.5872 kW·h. Then, the energy difference value between the target energy value and the first energy value is calculated, and it is known that the energy difference value is 0.5628 kW·h. Since the energy difference value is greater than 0, the photovoltaic water heater starts the photovoltaic heating mode for heating treatment in the illumination time length of 8 hours in the prediction day, and then starts the mains heating mode for heating treatment.

[0092] In this embodiment, the heating treatment device determines whether to start the photovoltaic heating mode in the prediction day according to the illumination intensity of the prediction day. If the photovoltaic heating mode can be started for heating treatment, it is determined whether the first energy value generated by starting the photovoltaic heating mode in the prediction day can meet the target energy value. If not, the mains heating mode also needs to be started for heating treatment, so that the photovoltaic water heater reaches the target energy value in the prediction day to meet the user's water demand.

[0093] Step 309, according to the energy difference value, obtaining a second energy value, and calculating the ratio of the second energy value and the product of the electric heating power and the electric heating energy conversion rate of the mains heating mode to determine the time length of starting the mains heating mode for heating treatment.

[0094] In this embodiment, based on the case that the heating treatment device determines to start the photovoltaic heating mode for heating treatment in the prediction day, and then start the mains heating mode for heating treatment. When the mains heating mode needs to be started for heating treatment, the heating treatment device also needs to determine the time length of starting the mains heating mode for heating treatment, and determine when to start the mains heating mode. The processing process is as follows.

[0095] Specifically, the heating treatment device calculates the difference between the target energy value and the first energy value to obtain a second energy value. Based on the electric heating power and the electric heating energy conversion rate of the mains heating mode, the heating treatment device calculates the ratio of the second energy value and the product of the electric heating power and the electric heating energy conversion rate of the mains heating mode to obtain the time length of starting the mains heating mode.

[0096] More specifically, based on the user's water use time period in the forecast day obtained from the historical use information and the time period of starting the photovoltaic heating mode, the heating processing device calculates the difference between the time value corresponding to the starting point of the user's water use time period calculated by the photovoltaic heating mode and the duration of the city power heating mode, to obtain the specific time of starting the city power heating mode.

[0097] For example, the second energy value obtained in the previous example is 0.5628kW·h, and assuming that the electric heating power of the city power heating mode is 98%, the heating processing device obtains the city power heating duration of 0.52h (the heating power is 1.1kW) according to the aforementioned method of obtaining the duration of the city power heating mode. If the water use time period in the forecast day in the above example is obtained from the historical use information as 8:00pm to 8:30pm, then the difference between 8:00pm and 8:30pm is calculated, and the specific time of starting the city power heating mode is obtained as 7:30pm to 8:00pm.

[0098] In this embodiment, the heating processing device obtains the second energy value according to the difference between the first energy value and the target energy value, then obtains the duration of starting the city power heating mode based on the relationship between the energy value and the heating power and the electric heating energy conversion rate, and finally determines the specific time of starting the city power heating mode by considering the user's water use time period information.

[0099] Optionally, in actual scenarios, the first energy value generated by the photovoltaic water heater by relying on the photovoltaic heating mode for heating processing will lose part of the energy value over time, therefore, when the heating processing device obtains a large difference between the time of starting the city power heating mode and the end time of the photovoltaic heating mode, a certain energy value is compensated for the second energy value, and in order to meet the user's demand, the compensated energy value can be set to 1.5kwh, and the duration of the city power heating is 1.9h, and the starting time of the city power heating mode is 6:00pm.

[0100] It should be noted that after the heating processing device completes the setting of the heating plan for the forecast day, heating processing plan information will be generated, and the photovoltaic water heater will perform heating processing according to the information.

[0101] In the embodiment, the heating processing device obtains historical one-day use information corresponding to the predicted day according to historical use information of a user to which the photovoltaic water heater belongs, to determine a target energy value that the photovoltaic water heater needs to provide in the predicted day; based on the latitude and longitude of the installation position of the photovoltaic panel of the photovoltaic water heater, the weather condition of the predicted day, and the solar term of the predicted day, the heating processing device determines the light intensity of the predicted day, and obtains the floor, the installation angle, the distance to the front building, and the floor number of the front building of the installation position of the photovoltaic panel set by the terminal device, to determine the light duration corresponding to the photovoltaic panel; then, the heating processing device determines whether to start the photovoltaic heating mode for heating processing according to the light intensity of the predicted day, and if yes, determines whether a first energy value generated by starting the photovoltaic heating mode reaches the target energy value, and if not, starts the mains heating mode for heating processing at the corresponding time.

[0102] Compared with the method for determining the heating mode for heating processing according to the light intensity in the prior art, the application simplifies the heating processing mode of the photovoltaic water heater, which not only achieves the purpose of saving energy, but also prolongs the service life of the photovoltaic water heater.

[0103] Example Three

[0104] Figure 5 A structure schematic diagram of a heating processing device of a photovoltaic water heater is provided in the application, and only parts related to the application are shown for ease of description.

[0105] Reference Figure 5 The heating processing device comprises an acquisition module 10, a determination module 20, and a processing module 30. The acquisition module 10 is configured to collect historical water use information of a user to which the photovoltaic water heater belongs. The determination module 20 is configured to, for a predicted day in a predicted period, obtain a target energy value corresponding to the predicted day according to the historical water use information, and obtain light intensity and light duration corresponding to the predicted day, to determine whether to start a photovoltaic heating mode according to the light intensity of the predicted day and a preset voltage threshold value for starting the photovoltaic heating mode. In addition, the determination module 20 is further configured to, if it is determined to start the photovoltaic heating mode, obtain a first energy value generated by the photovoltaic water heater when the photovoltaic heating mode is started in the predicted day based on the light intensity and the light duration corresponding to the predicted day, and determine whether the first energy value is greater than or equal to the target energy value. The processing module 30 is configured to, if yes, set to start the photovoltaic heating mode for heating processing in the predicted day.

[0106] Optionally, the processing module 30 is further configured to acquire an energy difference between the target energy value and the first energy value if the target energy value is less than the first energy value, and set the photovoltaic heating mode to be started at the predicted day to perform the heating treatment, and set the electric heating mode to be started at a replacement time set according to the historical water use information to replace the photovoltaic heating mode to perform the heating treatment.

[0107] Optionally, the acquisition module 10 is further configured to acquire a historical day corresponding to the predicted day according to the historical water use information, and acquire a temperature difference between the water temperature and the inlet water temperature in the water use information of the historical day, so as to acquire the target energy value according to the temperature difference, and the water use time period, the historical water flow, the density of water and the specific heat capacity of water in the water use information of the historical day.

[0108] Optionally, the judgment module 20 is further configured to acquire the corresponding light intensity of the predicted day according to the latitude and longitude of the installation position of the photovoltaic panel corresponding to the photovoltaic water heater, the solstice in which the predicted day is located, and the height of the sun in the predicted day if the predicted day is a sunny day.

[0109] Optionally, the acquisition module 10 is further configured to acquire the light duration corresponding to the photovoltaic panel according to the floor on which the installation position of the photovoltaic panel is located, the distance between the floor on which the photovoltaic panel is located and the previous floor, and the duration of the sun in the predicted day.

[0110] Optionally, the acquisition module 10 is further configured to acquire a voltage threshold corresponding to the light intensity of the predicted day, and judge whether the voltage threshold is greater than or equal to the preset voltage threshold for starting the photovoltaic heating mode.

[0111] Optionally, the judgment module 20 is further configured to set the electric heating mode to be started at the predicted day to perform the heating treatment if the target energy value is less than the first energy value.

[0112] Optionally, the judgment module 20 is further configured to set the photovoltaic heating mode to be started at the predicted day to perform the heating treatment if the target energy value is greater than or equal to the first energy value, and calculate the product of the photovoltaic heating power for starting the photovoltaic heating mode, the electric heating energy conversion rate and the light duration to acquire the first energy value.

[0113] Optionally, the processing module 30 is further configured to calculate an energy difference between the target energy value and the first energy value, judge whether the energy difference is greater than 0, and set the photovoltaic heating mode to be started at the predicted day to perform the heating treatment and then set the electric heating mode to be started at the predicted day to perform the heating treatment if the energy difference is greater than 0.

[0114] Optionally, the processing module 30 is further configured to acquire a second energy value according to the energy difference, and calculate the ratio of the second energy value and the product of the electric heating power of the electric heating mode and the electric heating energy conversion rate to determine the duration of the electric heating mode to be started to perform the heating treatment.

[0115] The implementation principle of the heating processing device provided in the present application is similar to the manner in the any one of the above embodiments, and will not be repeated here.

[0116] The present application provides a heating processing device of a photovoltaic water heater. By using the heating processing method provided in any one of the above embodiments, the heating mode of the photovoltaic water heater in the forecast day is determined. Compared with the prior art, only the heating mode of the current day can be determined, and the heating mode of the future cannot be predicted, and the heating mode is frequently switched. The heating processing device provided in the present application can not only save energy, but also prolong the service life of the photovoltaic water heater, and can also predict the heating processing mode of the future.

[0117] Example Four

[0118] The electronic device provided in the present application can be used to execute the technical solutions of the above method embodiments, Figure 6 is a hardware structure schematic diagram of the electronic device provided in the present application, and only the part related to the present application is shown for the convenience of description.

[0119] The electronic device provided in the present application can be used to execute the technical solutions of the above method embodiments, Figure 6 is a hardware structure schematic diagram of the electronic device provided in the present application, and only the part related to the present application is shown for the convenience of description.

[0120] Reference Figure 6 , which shows a structure schematic diagram of an electronic device 1000 suitable for implementing the embodiments of the present application, and the electronic device 1000 can be a terminal device. The terminal device can include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, personal digital assistants (PDA), tablet computers (PAD), portable media players (PMP), vehicle-mounted devices (such as vehicle-mounted navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. Figure 6 The electronic device shown is only an example, and should not bring any limitation to the functions and use range of the embodiments of the present application.

[0121] As Figure 6As shown, the electronic device 1000 can include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 1001 that can perform various appropriate actions and processes according to programs stored in a Read Only Memory (ROM) 1002 or loaded into a Random Access Memory (RAM) 1003 from a storage device 1009. Various programs and data required for the operation of the electronic device 1000 are also stored in the RAM 1003. The processing device 1001, the ROM 1002, and the RAM 1003 are connected to each other through a bus 1004. An Input / Output (I / O) interface 1006 is also connected to the bus 1004.

[0122] Generally, the following devices can be connected to the I / O interface 1006: input devices 1006 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 1007 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, etc.; storage devices 1009 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 10010. The communication devices 10010 can allow the electronic device 1000 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 4 The electronic device 1000 is shown with various devices, but it is understood that all of the illustrated devices are not required to implement or have the electronic device 1000. More or less devices can alternatively be implemented or have.

[0123] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for performing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network through the communication devices 10010, or installed from the storage devices 1009, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of embodiments of the present application are performed.

[0124] It should be noted that the computer readable medium in the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0125] In the present application, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus or device. In the present application, the computer readable signal medium can include a data signal that is propagated in a baseband or as a part of a carrier wave, in which a computer readable program code is carried. Such a propagated data signal can take many forms, including but not limited to electro-magnetic, optical, or any suitable combination thereof. The computer readable signal medium can also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate or transport a program for use by or in connection with an instruction execution system, apparatus or device. The program code contained on the computer readable medium can be transmitted by any suitable medium, including but not limited to wire, cable, RF (radio frequency), etc., or any suitable combination of the above.

[0126] The computer readable medium described above can be contained in the electronic device described above; or can exist separately and not be assembled into the electronic device.

[0127] The computer readable medium described above carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the method shown in the above embodiments.

[0128] A computer program product is provided in this application, which can be written in one or more programming languages or combinations thereof to execute computer program codes for performing the operations of the present disclosure, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" language or similar programming languages. The program code can be executed entirely on a user computer, partially on a user computer, as an independent software package, partially on a user computer and partially on a remote computer, or entirely on a remote computer or media library. In the case of a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, through the Internet by using an Internet service provider).

[0129] The flowcharts and block diagrams in the drawings illustrate the possible implementation architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment, or a part of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different order than that shown in the drawings. For example, two blocks that are shown in succession can actually be executed substantially in parallel, and sometimes in reverse order, depending on the involved functions. It should also be noted that each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0130] The units involved in the embodiments described in the present application can be implemented in software or in hardware. Among them, the name of the unit does not constitute a limitation to the unit itself in some cases, for example, the first acquisition unit can also be described as "a unit for acquiring at least two internet protocol addresses".

[0131] The functions described above in the present application can be executed at least partially by one or more hardware logic components. For example, non-limiting exemplary types of hardware logic components that can be used include field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0132] In the context of this application, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.

[0133] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0134] It is to be understood that the application is not limited to the precise construction described and as shown in the attached figures, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is limited only by the claims that follow.

Claims

1. A method of heating treatment of a photovoltaic water heater, characterized in that, The method comprises: acquiring historical water usage information of a user to which the photovoltaic water heater belongs; for a prediction day in a prediction period, acquiring a historical day corresponding to the prediction day according to the historical water usage information, and acquiring a temperature difference between a water temperature and an inlet water temperature in water usage information of the historical day, to acquire a target energy value corresponding to the prediction day based on the temperature difference, a water usage time period, a historical water flow, a density of water and a specific heat capacity of water in the water usage information of the historical day, the target energy value being obtained based on a product of the temperature difference, the historical water flow, the density of water and the specific heat capacity of water; acquiring weather of the prediction day, and determining a solar height of the prediction day according to a longitude and a latitude of an installation position of a photovoltaic panel corresponding to the photovoltaic water heater and a solar term in which the prediction day is located, and querying a solar height-illumination intensity corresponding table based on the solar height of the prediction day to acquire an illumination intensity corresponding to the prediction day; acquiring an illumination time length corresponding to the photovoltaic panel corresponding to the prediction day according to a floor on which the installation position of the photovoltaic panel is located, a distance between a floor on which the photovoltaic panel is located and a previous floor, and a length of solar radiation of the prediction day; acquiring a voltage threshold value corresponding to the illumination intensity of the prediction day, and judging whether the voltage threshold value is greater than or equal to a preset voltage threshold value for starting a photovoltaic heating mode; if yes, judging that the photovoltaic heating mode is started, and acquiring a first energy value generated based on the illumination intensity and the illumination time length corresponding to the prediction day when the photovoltaic water heater starts the photovoltaic heating mode in the prediction day, and judging whether the first energy value is greater than or equal to the target energy value, the first energy value being obtained by calculating a product of a photoelectric heating power when the photovoltaic heating mode is started and an electric heating energy conversion rate and the illumination time length; if yes, setting that the photovoltaic heating mode is started to perform heating processing in the prediction day.

2. The heat treatment method according to claim 1, wherein The method further comprises: if the first energy value is less than the target energy value, acquiring an energy difference value between the target energy value and the first energy value, and setting that the photovoltaic heating mode is started to perform heating processing in the prediction day, and the electric heating mode is started to replace the photovoltaic heating mode to perform heating processing at a replacement time set according to the historical water usage information.

3. The heat treatment method according to claim 1, wherein The method further comprises: if the voltage threshold value is less than the preset voltage threshold value for starting the photovoltaic heating mode, setting that the electric heating mode is started to perform heating processing in the prediction day.

4. The heat treatment method according to claim 1, wherein The method further comprises: calculating an energy difference value of the target energy value and the first energy value, judging whether the energy difference value is greater than 0, and if yes, setting that the photovoltaic heating mode is started to perform heating processing first, and then the electric heating mode is started to perform heating processing in the prediction day; acquiring a second energy value according to the energy difference value, and calculating a ratio of the second energy value and a product of an electric heating power and an electric heating energy conversion rate of the electric heating mode to determine a length of time for which the electric heating mode is started to perform heating processing.

5. A heating treatment device for a photovoltaic water heater, for implementing the heating treatment method for a photovoltaic water heater according to any one of claims 1 to 4, characterized in that, The method comprises: An acquisition module is configured to acquire historical water usage information of a user of the photovoltaic water heater; A determination module is configured to, for a prediction day in a prediction period, acquire a target energy value corresponding to the prediction day according to the historical water usage information, and acquire an illumination intensity and an illumination duration corresponding to the prediction day, so as to determine whether to start a photovoltaic heating mode according to the illumination intensity of the prediction day and a preset voltage threshold for starting the photovoltaic heating mode; The determination module is further configured to, if it is determined to start the photovoltaic heating mode, acquire a first energy value generated by the photovoltaic water heater based on the illumination intensity and the illumination duration corresponding to the prediction day when the photovoltaic heating mode is started on the prediction day, and determine whether the first energy value is greater than or equal to the target energy value; A processing module is configured to, if yes, set to start the photovoltaic heating mode for heating processing on the prediction day.

6. An electronic device, comprising: comprising: a processing device and a memory; the memory stores computer-executable instructions; the processing device executes the computer-executable instructions stored in the memory, so that the processing device executes the heating processing method of the photovoltaic water heater according to any one of claims 1-4.

7. A computer readable storage medium characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by the processing device, are used to implement the heating processing method of the photovoltaic water heater according to any one of claims 1-4.

8. A computer program product, characterised in that, comprising a computer program, which, when executed by the processing device, implements the heating processing method of the photovoltaic water heater according to any one of claims 1-4.

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