CN117318054A

CN117318054A - Photovoltaic electric energy processing method and related device

Info

Publication number: CN117318054A
Application number: CN202311601936.5A
Authority: CN
Inventors: 陆海军; 赵梦龙; 杨稼任; 张荣兴
Original assignee: Shenzhen Ampere Times Digital Energy Technology Co ltd
Current assignee: Shenzhen Ampere Times Digital Energy Technology Co ltd
Priority date: 2023-11-28
Filing date: 2023-11-28
Publication date: 2023-12-29
Anticipated expiration: 2043-11-28
Also published as: CN117318054B

Abstract

The application provides a photovoltaic electric energy processing method and a related device, wherein the method comprises the following steps: acquiring indoor environment data acquired by a sensor module; according to the indoor environment data, determining a prediction result of the target city entering the southward; if the detected prediction result is that the target city enters the southerly, and if the detected output power is greater than or equal to the third required power, controlling the inverter to output electric energy to the clothes drying equipment; when the clothes are detected to be put into the dehumidification cabinet, the inverter is controlled to output electric energy to the dehumidification cabinet. By adopting the energy storage controller in the balcony energy storage system, different photovoltaic electric energy treatment strategies can be implemented based on the prediction result of the return to the south, so that clothes are prevented from going moldy in the return to the south, the utilization rate of photovoltaic electric energy is improved, and the use experience of a user is improved.

Description

Photovoltaic electric energy processing method and related device

Technical Field

The application belongs to the technical field of photovoltaic power supply, and particularly relates to a photovoltaic power energy processing method and a related device.

Background

At present, compared with indoor airing, the clothes can obtain better airing effect outdoors through the airing mode of sunlight irradiation and natural air drying, but under the condition of the weather in the south of the back, continuous rainy days and heavy fog weather can occur, the outdoor air humidity is higher than the indoor air humidity, the indoor air humidity and the outdoor air humidity are high, and clothes airing becomes difficult, and even the clothes get moldy.

Disclosure of Invention

The embodiment of the application provides a photovoltaic electric energy processing method and a related device, wherein an energy storage controller in a balcony energy storage system can implement different photovoltaic electric energy processing strategies based on a prediction result of a return to the south, so that clothes are prevented from going moldy in the return to the south, the utilization rate of photovoltaic electric energy is improved, and the use experience of a user is improved.

In a first aspect, an embodiment of the present application provides a photovoltaic power processing method, which is applied to an energy storage controller in a balcony energy storage system, where the balcony energy storage system includes the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, a clothes drying device and a dehumidification cabinet, the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying device and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying device and the dehumidification cabinet; the method comprises the following steps:

acquiring indoor environment data acquired by the sensor module;

according to the indoor environment data, determining a prediction result of the target city entering the southward;

If the prediction result is detected to be that the target city enters the southerly, determining the current output power of the photovoltaic module, and controlling to distribute the generated electric energy of the photovoltaic module to the inverter; and determining a first required power of the laundry drying apparatus and a second required power of the dehumidifying cabinet;

determining the sum of the first required power and the second required power to obtain third required power;

if the output power is detected to be greater than or equal to the third required power, controlling the inverter to output electric energy to the clothes drying equipment;

when the clothes placed in the dehumidification cabinet are detected, controlling the inverter to output electric energy to the dehumidification cabinet;

if the output power is detected to be smaller than the third required power and the output power is detected to be larger than or equal to the first required power, controlling the inverter to output electric energy to the clothes drying equipment and controlling the energy storage battery pack to supply power for the dehumidification cabinet;

and if the output power is detected to be smaller than the first required power, controlling the energy storage battery pack to supply power for the clothes drying equipment and the dehumidification cabinet respectively.

In a second aspect, an embodiment of the present application provides a photovoltaic power processing method, which is applied to an energy storage controller in a balcony energy storage system, where the balcony energy storage system includes the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, a clothes drying device and a dehumidification cabinet, the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying device and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying device and the dehumidification cabinet; the method comprises the following steps:

the acquisition unit is used for acquiring indoor environment data acquired by the sensor module;

the determining unit is used for determining a prediction result of the target city entering the southward according to the indoor environment data;

the determining unit is further configured to determine a current output power of the photovoltaic module and control distribution of the generated electric energy of the photovoltaic module to the inverter if the prediction result is detected that the target city enters the southerly; and determining a first required power of the laundry drying apparatus and a second required power of the dehumidifying cabinet;

The determining unit is further configured to determine a sum of the first required power and the second required power to obtain a third required power;

the control unit is used for controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be greater than or equal to the third required power;

the control unit is also used for controlling the inverter to output electric energy to the dehumidification cabinet when detecting that the dehumidification cabinet is put into clothes;

the control unit is further configured to control the inverter to output electric energy to the clothes drying device and control the energy storage battery pack to supply power to the dehumidification cabinet if the output power is detected to be smaller than the third required power and the output power is detected to be greater than or equal to the first required power;

and the control unit is further used for controlling the energy storage battery pack to supply power for the clothes drying equipment and the dehumidification cabinet respectively if the output power is detected to be smaller than the first required power.

In a third aspect, embodiments of the present application provide an electronic device comprising a processor, a memory, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the first aspect of embodiments of the present application.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program/instruction which when executed by a processor performs the steps of the first aspect of embodiments of the present application.

In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application.

It can be seen that, in the embodiment of the present application, the energy storage controller firstly acquires the indoor environment data acquired by the sensor module, then determines a prediction result of the target city entering the return to the south according to the indoor environment data, and then determines the current output power of the photovoltaic module and controls the photovoltaic module to distribute the generated electric energy to the inverter if the prediction result is detected as the target city entering the return to the south; and determining a first required power of the clothes drying equipment and a second required power of the dehumidification cabinet, further determining the sum of the first required power and the second required power to obtain a third required power, then controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be larger than or equal to the third required power, controlling the inverter to output electric energy to the dehumidification cabinet when the dehumidification cabinet is detected to put clothes in, then controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be smaller than the third required power and the output power is detected to be larger than or equal to the first required power, controlling the energy storage battery pack to supply power to the dehumidification cabinet, and finally controlling the energy storage battery pack to supply power to the clothes drying equipment and the dehumidification cabinet if the output power is detected to be smaller than the first required power. The energy storage controller in the balcony energy storage system can implement different photovoltaic electric energy treatment strategies based on the prediction result of the return to the south, clothes are directly dried through clothes drying equipment, the dried clothes are dehumidified through the dehumidification cabinet, the clothes are prevented from going moldy in the return to the south, the utilization rate of photovoltaic electric energy is improved, and the use experience of a user is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art, wherein,

fig. 1 is a schematic architecture diagram of a photovoltaic power processing system according to an embodiment of the present disclosure;

fig. 2 is a schematic flow chart of a photovoltaic power processing method according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 4 is a functional unit composition block diagram of a photovoltaic power processing apparatus according to an embodiment of the present application.

Detailed Description

In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In the embodiment of the application, "and/or", the association relation of the association objects is described, which means that three relations can exist. For example, a and/or B may represent three cases: a alone; both A and B are present; b alone. Wherein A, B can be singular or plural.

In the embodiment of the present application, the symbol "/" may indicate that the associated object is an or relationship. In addition, the symbol "/" may also denote a divisor, i.e. performing a division operation. For example, A/B may represent A divided by B.

In the embodiments of the present application, "at least one item(s)" or the like means any combination of these items, including any combination of single item(s) or plural item(s), meaning one or more, and plural means two or more. For example, at least one (one) of a, b or c may represent the following seven cases: a, b, c, a and b, a and c, b and c, a, b and c. Wherein each of a, b, c may be an element or a set comprising one or more elements.

The 'equal' in the embodiment of the application can be used with the greater than the adopted technical scheme, can also be used with the lesser than the adopted technical scheme, and is applicable to the lesser than the adopted technical scheme. When the combination is equal to or greater than the combination, the combination is not less than the combination; when the value is equal to or smaller than that used together, the value is not larger than that used together.

In order to better understand the schemes of the embodiments of the present application, the following describes electronic devices that may be related to the embodiments of the present application.

The electronic device according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), mobile Station (MS), electronic device (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices. The electronic device may also be an energy storage controller.

Referring to fig. 1, fig. 1 is a schematic architecture diagram of a photovoltaic power processing system according to an embodiment of the present application. As shown in fig. 1, the system includes the balcony energy storage system, the balcony energy storage system 10 includes an energy storage controller 101, a sensor module 102, a photovoltaic module 103, an energy storage battery pack 104, an inverter 105, a clothes drying device 106 and a dehumidification cabinet 107, the energy storage controller 101 is respectively connected with the sensor module 102, the photovoltaic module 103, the energy storage battery pack 104, the inverter 105, the clothes drying device 106 and the dehumidification cabinet 107, and the inverter 105 is respectively connected with the energy storage battery pack 104, the clothes drying device 106 and the dehumidification cabinet 107.

The energy storage controller 101 may be an intelligent solar controller, the energy storage battery pack 104 includes a plurality of parallel single batteries, the photovoltaic module 103 includes a plurality of solar panels, the sensor module 102 includes a wind speed sensor, a temperature sensor, a humidity sensor, a photoelectric sensor and a camera which are arranged indoors and outdoors, and the camera is used for shooting outdoor sky images; the laundry drying apparatus includes, but is not limited to, a washing machine, a drying machine, etc., in which washing and drying are integrated, and the dehumidifying cabinet 107 may store laundry and dehumidify the stored laundry.

Wherein, balcony energy storage system 10 still includes intelligent clothes-horse 108, intelligent clothes-horse 108 is connected with energy storage controller 101, intelligent clothes-horse 108 includes slide rail and slider, the slider sets up on the slide rail, be provided with the couple on the slider, the couple is used for hanging the clothing, intelligent clothes-horse 108's slide rail is extensible, when the clothing needs outdoor sunning, intelligent clothes-horse 108 drive slide rail extends along first default route and passes the window of opening, reach the assigned position of balcony and dry in the sun, when outdoor environment does not accord with the sunning, intelligent clothes-horse 108 drive slide rail shrink passes the window primary road along second default route and returns.

The power supply loops of the energy storage battery pack 104 for the clothes drying equipment 106 and the dehumidification cabinet 107 are respectively an energy storage battery pack 104-an inverter 105-the clothes drying equipment 106 and an energy storage battery pack 104-an inverter 105-the dehumidification cabinet 107.

In one possible example, the energy storage controller 101 first obtains the indoor environment data collected by the sensor module 102, then the energy storage controller 101 determines a prediction result of the target city entering the southerly according to the indoor environment data, and then if the energy storage controller 101 detects that the prediction result is that the target city enters the southerly, the current output power of the photovoltaic module 103 is determined, and the photovoltaic module 103 is controlled to distribute the generated electric energy to the inverter 105; and determining the first required power of the clothes drying device 106 and the second required power of the dehumidification cabinet 107, further determining the sum of the first required power and the second required power to obtain the third required power, controlling the inverter 105 to output electric energy to the clothes drying device 106 if the output power is detected to be greater than or equal to the third required power, controlling the inverter 105 to output electric energy to the dehumidification cabinet 107 when the dehumidification cabinet 107 is detected to be put into clothes, controlling the inverter 105 to output electric energy to the dehumidification cabinet 107 if the output power is detected to be less than the third required power and the output power is detected to be greater than or equal to the first required power, controlling the inverter 105 to output electric energy to the clothes drying device 106, and controlling the energy storage battery pack 104 to supply power to the dehumidification cabinet 107, and finally controlling the energy storage battery pack 104 to supply power to the clothes drying device 106 and the dehumidification cabinet 107 if the output power is detected to be less than the first required power. The energy storage controller in the balcony energy storage system can implement different photovoltaic electric energy treatment strategies based on the prediction result of the return to the south, clothes are directly dried through clothes drying equipment, the dried clothes are dehumidified through the dehumidification cabinet, the clothes are prevented from going moldy in the return to the south, the utilization rate of photovoltaic electric energy is improved, and the use experience of a user is improved.

Referring to fig. 2, fig. 2 is a schematic flow chart of a photovoltaic power processing method provided in an embodiment of the present application, and is applied to an energy storage controller in a balcony energy storage system, where the balcony energy storage system includes the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, a clothes drying device and a dehumidification cabinet, the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying device and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying device and the dehumidification cabinet, and the method includes:

step S201, acquiring indoor environment data acquired by the sensor module.

The sensor module comprises an outdoor wind speed sensor, a temperature sensor, a humidity sensor, a photoelectric sensor, a camera and an indoor humidity sensor and a temperature sensor.

The indoor environment data comprise an indoor temperature value, a ground temperature value and an indoor humidity value, wherein the indoor temperature value refers to the temperature value of indoor air, and the indoor humidity value refers to the humidity value of indoor air.

Step S202, according to the indoor environment data, determining a prediction result of the target city entering the return to the south.

The target city is a city where the sensor module is located.

Step 203, if the prediction result is detected that the target city enters the southerly, determining the current output power of the photovoltaic module, and controlling to distribute the generated electric energy of the photovoltaic module to the inverter; and determining a first required power of the clothes drying apparatus and a second required power of the dehumidifying cabinet.

In the returning south, the days of heavy fog and rainy days are more, peculiar smell still exists in the clothes room for natural airing, even the clothes are mildewed, the generated energy of the photovoltaic module is not large, the generated energy of the photovoltaic module can be distributed to the inverter, the inverter outputs electric energy to clothes drying equipment preferentially, the clothes drying equipment directly dries the clothes, meanwhile, the clothes are naturally stored in a wardrobe in consideration of large indoor humidity and still in a wet state, the dried clothes can be placed in a dehumidifying cabinet, the inverter outputs electric energy to the dehumidifying cabinet, and the dehumidifying cabinet dehumidifies the placed clothes at regular intervals.

Step S204, determining a sum of the first required power and the second required power to obtain a third required power.

Step S205, if the output power is detected to be greater than or equal to the third required power, controlling the inverter to output electric energy to the clothes drying device.

The photovoltaic power supply loop of the clothes drying equipment is a photovoltaic module, an energy storage controller, an inverter and the clothes drying equipment.

And S206, controlling the inverter to output electric energy to the dehumidification cabinet when the dehumidification cabinet is detected to put clothes.

When the dehumidification mode of clothes is started or clothes are detected in other modes, the dehumidification cabinet can send clothes detection information to the energy storage controller, the energy storage controller determines that a power supply loop of the dehumidification cabinet is a photovoltaic power supply loop, and the inverter is controlled to output electric energy to the dehumidification cabinet.

The photovoltaic power supply loop of the dehumidification cabinet is a photovoltaic module, an energy storage controller, an inverter and the dehumidification cabinet.

Step S207, if the output power is detected to be less than the third required power and the output power is detected to be greater than or equal to the first required power, controlling the inverter to output electric energy to the clothes drying device, and controlling the energy storage battery pack to supply power to the dehumidification cabinet;

when the residual electric quantity of the energy storage battery pack is lower than a preset electric quantity threshold value, the power supply loop of the dehumidification cabinet can be adjusted to be a mains supply loop.

Step S208, if the output power is detected to be smaller than the first required power, the energy storage battery pack is controlled to supply power to the clothes drying device and the dehumidification cabinet respectively.

Optionally, before controlling the energy storage battery pack to supply power to the clothes drying device and the dehumidification cabinet respectively, the energy storage battery pack may further obtain historical power consumption data of the clothes drying device, determine a target power consumption required by the clothes drying device to perform a single airing operation according to the historical power consumption data, and when detecting that the current residual power of the energy storage battery pack is smaller than the target power, determine a current power supply loop of the clothes drying device and the dehumidification cabinet as a commercial power supply loop, and when the current residual power of the energy storage battery pack is greater than or equal to the target power, control the energy storage battery pack to supply power to the clothes drying device and the dehumidification cabinet respectively.

The historical electricity consumption data comprise the consumption power of the intelligent clothes airing equipment for historically executing clothes airing operation and corresponding first time, and the consumption power of the intelligent clothes airing equipment for historically executing clothes collecting operation and corresponding second time.

In one possible example, the balcony energy storage system includes an intelligent clothes airing device, the intelligent clothes airing device is respectively connected with the inverter and the energy storage controller, and after the prediction result of the target city entering the return to the south is determined according to the indoor environment data, the method may further include the following steps: if the prediction result is detected that the target city does not enter the southward, acquiring first outdoor environment data; determining a plurality of first values of a plurality of airing influence indexes according to the first outdoor environment data; determining a first airing evaluation result according to the plurality of first values and preset airing conditions; if the first airing evaluation result is that the current outdoor environment condition meets the clothes airing condition, determining a target proportion, and controlling the photovoltaic module to distribute the generated electric energy to the inverter and the energy storage battery pack according to the target proportion; and controlling the inverter to output electric energy to the intelligent clothes drying equipment; generating a clothes airing instruction and sending the clothes airing instruction to the intelligent clothes airing equipment; and if the first airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition, controlling the photovoltaic module to distribute the generated electric energy to the energy storage battery pack.

The first outdoor environment data comprise a plurality of airing influence indexes, the plurality of airing influence indexes comprise wind intensity, rainfall, illumination intensity and humidity, the wind speed sensor collects the wind intensity of an outdoor balcony, the photoelectric sensor collects the illumination intensity of the outdoor balcony, the humidity sensor collects the humidity of outdoor balcony air, the camera shoots an image of the outdoor balcony sky, and the energy storage controller can analyze and obtain a judging result whether the outdoor is smaller or not according to the image of the outdoor balcony sky shot by the camera.

The intelligent clothes airing device consumes energy mainly by executing clothes airing operation and executing clothes collecting operation, the intelligent clothes airing device executes the clothes airing operation after receiving a clothes airing instruction of the energy storage controller, and executes the clothes collecting operation after receiving the clothes collecting instruction of the energy storage controller, the clothes airing operation at least comprises driving the sliding rail to extend to pass through an opened window along a first preset path, the clothes collecting operation comprises driving the sliding rail to retract to pass through a window original path from the designated position along a second preset path and return to the room.

The intelligent clothes airing device does not need to execute clothes airing operation when outdoor environment does not meet clothes airing conditions, and the photovoltaic module only distributes generated electric energy to the energy storage battery pack for storage through the energy storage controller.

Optionally, the energy storage controller is in communication connection with the weather cloud server or the terminal device used by the user, acquires outdoor environment data from the weather cloud server or the terminal device used by the user, and determines a first airing evaluation result based on the outdoor environment data and a preset airing condition.

It can be seen that, in this example, the energy storage controller can obtain whether the outdoor environment accords with the first evaluation result of sunning condition based on the outdoor environment data analysis of balcony that the sensor module gathered to when outdoor environment accords with sunning condition, distribute photovoltaic module's output electric energy to dc-to-ac converter and energy storage battery according to the target proportion, when guaranteeing that intelligent clothes drying equipment can carry out sunning operation, utilize energy storage battery to store surplus output electric energy, be favorable to improving photovoltaic module's output electric energy's utilization ratio.

In one possible example, the plurality of sun-drying impact indicators includes wind intensity, rainfall, illumination intensity, and humidity, the plurality of first values includes a first wind intensity value, a first rainfall logic value, a first illumination intensity value, and a first humidity value, and the preset sun-drying conditions include a preset wind range, a preset rainfall logic value, a preset illumination intensity range, and a second preset humidity value; the method may further include the steps of: when the first wind intensity value is in the preset wind range, the first rainfall logic value is equal to the preset rainfall logic value, the first illumination intensity value is in the preset illumination intensity range, the first humidity value is smaller than the second preset humidity value, and the first airing evaluation result is determined to be that the current outdoor environment condition accords with the clothes airing condition; and when the first wind intensity value is not in the preset wind range or the first rainfall logic value is not equal to the preset rainfall logic value or the first illumination intensity value is not in the preset illumination intensity range or the first humidity value is greater than or equal to the second preset humidity value, determining that the first airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition.

The rainfall logic value is 0, which indicates that the outdoor is not raining, the rainfall logic value is 1, which indicates that the outdoor is raining, and the preset rainfall logic value is 0.

The preset airing conditions include a preset wind power range, a preset rainfall logic value, a preset illumination intensity range and a second preset humidity value, which can be manually set or default by a system, and are not limited herein.

The wind speed sensor measures a first wind intensity value, the photoelectric sensor measures a first illumination intensity, the humidity sensor measures a first humidity value, the energy storage controller receives an image shot by the camera to obtain a judging result of whether the outdoor rains or not, if the judging result is that the outdoor rains, the first rainfall logic value is 1, and if the outdoor rains, the first rainfall logic value is 0.

It can be seen that, in this example, the energy storage controller may determine that the first airing evaluation result is determined based on the first outdoor environment data, which is beneficial to the subsequent specification of the generated electric energy of the photovoltaic module, and is beneficial to improving the utilization rate of the generated electric energy of the photovoltaic module.

In one possible example, after said sending said laundry drying instruction to said intelligent laundry drying apparatus, the above method may comprise the steps of: acquiring second outdoor environment data acquired by the sensor module; determining a plurality of second values of a plurality of airing influence indexes according to the second outdoor environment data, wherein each airing influence index corresponds to one second value; determining a second airing evaluation result according to the second values and the preset airing conditions; judging whether the second airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition; if the second airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition, generating a clothes collecting instruction, and sending the clothes collecting instruction to the intelligent clothes airing equipment.

Wherein the plurality of second values includes a second wind intensity value, a second rainfall logic value, a second illumination intensity value, and a second humidity value.

Wherein, intelligent clothes-horse is after receiving the clothing collection instruction, carries out clothing collection operation.

It can be seen that, in this example, the energy storage controller may determine that the second airing evaluation result is determined based on the second outdoor environment data, and control the intelligent clothes airing device to perform the clothes collecting operation when the outdoor environment condition does not conform to the clothes airing condition, so as to facilitate improving the intelligence of the information processing of the energy storage controller and improving the use experience of the user.

In one possible example, after said sending said laundry collection instruction to said intelligent laundry device, the above method may further comprise the steps of: acquiring the working state of the photovoltaic module; determining first electric quantity required to be consumed by the intelligent clothes drying equipment for executing single drying operation; judging whether the working state is stopping power generation; if the working state is judged to be stopping generating, determining the current first residual electric quantity of the energy storage battery pack; if the first residual electric quantity is larger than or equal to the first electric quantity, controlling the energy storage battery pack to supply power for the intelligent clothes drying equipment; and if the first residual electric quantity is smaller than the first electric quantity, adjusting the current power supply loop of the intelligent clothes drying equipment to be a mains supply loop.

The intelligent clothes airing device comprises an intelligent clothes airing device, a solar module, an energy storage battery pack, a photovoltaic module, a solar module and an intelligent clothes airing module, wherein the condition of sudden reduction of the afternoon illumination intensity is considered, the illumination intensity is very low at the moment, the photovoltaic module stops generating electricity, clothes are still aired outdoors, the intelligent clothes airing device needs to execute clothes collecting operation, and the intelligent clothes airing device can be powered through the energy storage battery pack.

The battery power supply loop of the intelligent clothes drying equipment comprises an energy storage battery pack, an inverter and the intelligent clothes drying equipment.

The working state of the energy storage battery pack comprises stopping power generation and generating power.

It can be seen that, in this example, energy storage controller can be when photovoltaic module's operating condition is for stopping generating electricity, and control energy storage battery pack is intelligent clothes-horse power supply, perhaps with intelligent clothes-horse's power supply return circuit adjustment for the commercial power supply return circuit to the condition of reply illumination intensity suddenly drops is favorable to improving energy storage controller information processing's intelligence to and be favorable to improving user's use experience.

In one possible example, the method may further include determining a prediction result of the target city entering the return to the south according to the indoor environment data, where the method includes the steps of: the indoor environment data comprises an indoor temperature value, a ground temperature value and an indoor humidity value, and a temperature difference value between the indoor temperature value and the ground temperature value is determined; if the indoor humidity value is detected to be larger than a first preset humidity value and the temperature difference value is detected to be larger than a preset temperature threshold value, determining that the prediction result is that the target city enters a southerly; if the indoor humidity value is detected to be smaller than or equal to a first preset humidity value or the temperature difference value is detected to be smaller than or equal to a preset temperature threshold value, determining that the prediction result is that the target city does not enter the southward.

The indoor environment data comprise an indoor temperature value, a ground temperature value and an indoor humidity value, wherein the indoor temperature value refers to the temperature value of indoor air, the indoor humidity value refers to the humidity value of indoor air, and the ground temperature value is the temperature value of an indoor floor; a plurality of temperature sensors and humidity sensors are arranged in the room, the humidity sensors acquire indoor humidity values, and the temperature sensors acquire indoor temperature values and ground temperature values.

The return to the south is characterized in that the indoor ground/wall temperature and the indoor air temperature are greatly different, and the indoor humidity is high, so that when the indoor humidity value is detected to be larger than a first preset humidity value and the temperature difference between the indoor temperature value and the ground temperature value is detected to be larger than a preset temperature threshold value, the target city is considered to enter the return to the south.

Therefore, in the example, the energy storage controller can obtain the prediction result of whether the target city enters the southward based on the indoor environment data, which is beneficial to improving the intelligence of the information processing of the energy storage controller.

In one possible example, in the determining the target proportion, the method may include the steps of: judging whether the output power is larger than a preset power threshold value or not; if the output power is judged to be larger than a preset power threshold, determining the total capacity and the second residual capacity of the energy storage battery pack; determining a first ratio between the second remaining power and the total capacity; judging whether the ratio is larger than a preset threshold value or not; if the ratio is judged to be larger than the preset threshold, taking a first preset ratio as the target ratio; if the ratio is judged to be smaller than or equal to the preset threshold value, a second preset ratio is taken as the target ratio, and the first preset ratio is larger than the second preset ratio; and if the output power is less than or equal to the preset power threshold value, taking a third preset proportion as the target proportion.

When the second residual electric quantity of the energy storage battery pack is detected to be equal to the total capacity, namely the energy storage battery pack is fully charged, the target proportion is 1, and the energy storage controller controls the power generated by the photovoltaic module to be distributed to the inverter, and the inverter outputs power to other electric equipment.

The preset threshold and the preset power threshold may be set manually or by default, the first preset ratio and the second preset ratio may be set manually or by default, and the third preset ratio may be 1, for example: the first preset ratio is 8:2, and the second preset ratio is 9:1.

The energy supply of the intelligent clothes airing equipment is considered to be preferentially met, so that when the output power of the photovoltaic module is smaller, namely, the output power is smaller than a preset power threshold value, the generated electric energy of the photovoltaic module can be distributed to the inverter, and the inverter outputs the electric energy to the intelligent clothes airing equipment.

For example, when the preset threshold is 0.6, the first preset ratio is 8:2, the second preset ratio is 9:1, when the ratio of the second remaining capacity to the total capacity of the energy storage battery pack is greater than or equal to 0.6, the target ratio is 9:1, and when the ratio of the second remaining capacity to the total capacity of the energy storage battery pack is less than 0.6, the target ratio is 8:2.

It can be seen that, in this example, the energy storage controller can determine the target proportion based on the output power of the photovoltaic module and the remaining power of the energy storage battery pack, which is beneficial to improving the intelligence of the information processing of the energy storage controller.

Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and is applied to an energy storage controller in a balcony energy storage system, where the balcony energy storage system includes the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, a clothes drying device and a dehumidification cabinet, and the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying device and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying device and the dehumidification cabinet; as shown in fig. 3, the electronic device includes a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs are configured by the processor to perform the following instructions:

acquiring indoor environment data acquired by the sensor module;

It can be seen that, in the embodiment of the present application, the electronic device first obtains the indoor environment data collected by the sensor module, then determines, according to the indoor environment data, a prediction result of the target city entering the southward, and then determines the current output power of the photovoltaic module if the prediction result is detected as the target city entering the southward, and controls the photovoltaic module to distribute the generated electric energy to the inverter; and determining a first required power of the clothes drying equipment and a second required power of the dehumidification cabinet, further determining the sum of the first required power and the second required power to obtain a third required power, then controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be larger than or equal to the third required power, controlling the inverter to output electric energy to the dehumidification cabinet when the dehumidification cabinet is detected to put clothes in, then controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be smaller than the third required power and the output power is detected to be larger than or equal to the first required power, controlling the energy storage battery pack to supply power to the dehumidification cabinet, and finally controlling the energy storage battery pack to supply power to the clothes drying equipment and the dehumidification cabinet if the output power is detected to be smaller than the first required power. The energy storage controller in the balcony energy storage system can implement different photovoltaic electric energy treatment strategies based on the prediction result of the return to the south, clothes are directly dried through clothes drying equipment, the dried clothes are dehumidified through the dehumidification cabinet, the clothes are prevented from going moldy in the return to the south, the utilization rate of photovoltaic electric energy is improved, and the use experience of a user is improved.

In one possible example, the balcony energy storage system comprises an intelligent clothes drying device connected to the inverter and the energy storage controller, respectively, and after the prediction result of the target city entering the return to the south is determined according to the indoor environment data, the above program comprises instructions for executing the following steps:

if the prediction result is detected that the target city does not enter the southward, acquiring first outdoor environment data;

determining a plurality of first values of a plurality of airing influence indexes according to the first outdoor environment data; determining a first airing evaluation result according to the plurality of first values and preset airing conditions;

if the first airing evaluation result is that the current outdoor environment condition meets the clothes airing condition, determining a target proportion, and controlling the photovoltaic module to distribute the generated electric energy to the inverter and the energy storage battery pack according to the target proportion; and controlling the inverter to output electric energy to the intelligent clothes drying equipment;

generating a clothes airing instruction and sending the clothes airing instruction to the intelligent clothes airing equipment;

and if the first airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition, controlling the photovoltaic module to distribute the generated electric energy to the energy storage battery pack.

In one possible example, the plurality of sun-drying impact indicators includes wind intensity, rainfall, illumination intensity, and humidity, the plurality of first values includes a first wind intensity value, a first rainfall logic value, a first illumination intensity value, and a first humidity value, and the preset sun-drying conditions include a preset wind range, a preset rainfall logic value, a preset illumination intensity range, and a second preset humidity value; in said determining a first airing evaluation result according to said plurality of first values and a preset airing condition, the program comprises instructions for:

when the first wind intensity value is in the preset wind range, the first rainfall logic value is equal to the preset rainfall logic value, the first illumination intensity value is in the preset illumination intensity range, the first humidity value is smaller than the second preset humidity value, and the first airing evaluation result is determined to be that the current outdoor environment condition accords with the clothes airing condition;

and when the first wind intensity value is not in the preset wind range or the first rainfall logic value is not equal to the preset rainfall logic value or the first illumination intensity value is not in the preset illumination intensity range or the first humidity value is greater than or equal to the second preset humidity value, determining that the first airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition.

In one possible example, after said sending said laundry drying instruction to said intelligent laundry drying appliance, the above-mentioned program comprises instructions for further performing the following steps:

acquiring second outdoor environment data acquired by the sensor module;

determining a plurality of second values of a plurality of airing influence indexes according to the second outdoor environment data, wherein each airing influence index corresponds to one second value;

determining a second airing evaluation result according to the second values and the preset airing conditions;

judging whether the second airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition;

if the second airing evaluation result is that the current outdoor environment condition does not accord with the clothes airing condition, generating a clothes collecting instruction, and sending the clothes collecting instruction to the intelligent clothes airing equipment.

In one possible example, after said sending said laundry taking instruction to said intelligent laundry appliance, the above program comprises instructions for further performing the steps of:

acquiring the working state of the photovoltaic module;

determining first electric quantity required to be consumed by the intelligent clothes drying equipment for executing single drying operation;

Judging whether the working state is stopping power generation;

if the working state is judged to be stopping generating, determining the current first residual electric quantity of the energy storage battery pack;

if the first residual electric quantity is larger than or equal to the first electric quantity, controlling the energy storage battery pack to supply power for the intelligent clothes drying equipment;

and if the first residual electric quantity is smaller than the first electric quantity, adjusting the current power supply loop of the intelligent clothes drying equipment to be a mains supply loop.

In one possible example, the indoor environment data includes an indoor temperature value, a ground temperature value, and an indoor humidity value, and the program includes instructions for further performing the following steps in determining a predicted result of the target city entering the return-to-south day based on the indoor environment data:

determining a temperature difference between the indoor temperature value and the ground temperature value;

if the indoor humidity value is detected to be larger than a first preset humidity value and the temperature difference value is detected to be larger than a preset temperature threshold value, determining that the prediction result is that the target city enters a southerly;

if the indoor humidity value is detected to be smaller than or equal to a first preset humidity value or the temperature difference value is detected to be smaller than or equal to a preset temperature threshold value, determining that the prediction result is that the target city does not enter the southward.

In one possible example, in determining the target proportion, the program includes instructions for further performing the steps of:

judging whether the output power is larger than a preset power threshold value or not;

if the output power is judged to be larger than a preset power threshold, determining the total capacity and the second residual capacity of the energy storage battery pack;

determining a first ratio between the second remaining power and the total capacity;

judging whether the ratio is larger than a preset threshold value or not;

if the ratio is judged to be larger than the preset threshold, taking a first preset ratio as the target ratio;

if the ratio is judged to be smaller than or equal to the preset threshold value, a second preset ratio is taken as the target ratio, and the first preset ratio is larger than the second preset ratio;

and if the output power is less than or equal to the preset power threshold value, taking a third preset proportion as the target proportion.

The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the electronic device, in order to achieve the above-described functions, includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the application may divide the functional units of the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.

Under the condition that each functional module is divided by adopting corresponding each function, fig. 4 is a functional unit composition block diagram of a photovoltaic power processing apparatus provided by the embodiment of the present application, as shown in fig. 4, an energy storage controller applied to a balcony energy storage system, the balcony energy storage system includes the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, a clothes drying device and a dehumidification cabinet, the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying device and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying device and the dehumidification cabinet, the photovoltaic power processing apparatus includes: an acquisition unit 401, a determination unit 402, and a control unit 403, wherein,

The acquiring unit 401 is configured to acquire indoor environment data acquired by the sensor module;

the determining unit 402 is configured to determine, according to the indoor environment data, a prediction result of the target city entering the southward;

the determining unit 402 is further configured to determine a current output power of the photovoltaic module and control distribution of the generated electric energy of the photovoltaic module to the inverter if the prediction result is detected that the target city enters the southerly; and determining a first required power of the laundry drying apparatus and a second required power of the dehumidifying cabinet;

the determining unit 402 is further configured to determine a sum of the first required power and the second required power to obtain a third required power;

the control unit 403 is configured to control the inverter to output electric energy to the clothes drying apparatus if the output power is detected to be greater than or equal to the third required power;

the control unit 403 is further configured to control the inverter to output electric energy to the dehumidification cabinet when it is detected that the dehumidification cabinet is put into clothes;

the control unit 403 is further configured to control the inverter to output electric energy to the clothes drying apparatus and control the energy storage battery pack to supply power to the dehumidification cabinet if the output power is detected to be less than the third required power and the output power is detected to be greater than or equal to the first required power;

The control unit 403 is further configured to control the energy storage battery pack to supply power to the clothes drying apparatus and the dehumidification cabinet, respectively, if the output power is detected to be smaller than the first required power.

It can be seen that, in the photovoltaic power processing device described in the embodiments of the present application, indoor environment data collected by the sensor module may be obtained first, then, according to the indoor environment data, a prediction result of the target city entering the southward is determined, and then, if the prediction result is detected as the target city entering the southward, the current output power of the photovoltaic module is determined, and the photovoltaic module is controlled to distribute the generated power to the inverter; and determining a first required power of the clothes drying equipment and a second required power of the dehumidification cabinet, further determining the sum of the first required power and the second required power to obtain a third required power, then controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be larger than or equal to the third required power, controlling the inverter to output electric energy to the dehumidification cabinet when the dehumidification cabinet is detected to put clothes in, then controlling the inverter to output electric energy to the clothes drying equipment if the output power is detected to be smaller than the third required power and the output power is detected to be larger than or equal to the first required power, controlling the energy storage battery pack to supply power to the dehumidification cabinet, and finally controlling the energy storage battery pack to supply power to the clothes drying equipment and the dehumidification cabinet if the output power is detected to be smaller than the first required power. The energy storage controller in the balcony energy storage system can implement different photovoltaic electric energy treatment strategies based on the prediction result of the return to the south, clothes are directly dried through clothes drying equipment, the dried clothes are dehumidified through the dehumidification cabinet, the clothes are prevented from going moldy in the return to the south, the utilization rate of photovoltaic electric energy is improved, and the use experience of a user is improved.

In one possible example, the balcony energy storage system includes an intelligent clothes airing device, the intelligent clothes airing device is respectively connected with the inverter and the energy storage controller, and after the prediction result of the target city entering the return to the south is determined according to the indoor environment data, the control unit 403 is specifically configured to:

In one possible example, the plurality of sun-drying impact indicators includes wind intensity, rainfall, illumination intensity, and humidity, the plurality of first values includes a first wind intensity value, a first rainfall logic value, a first illumination intensity value, and a first humidity value, and the preset sun-drying conditions include a preset wind range, a preset rainfall logic value, a preset illumination intensity range, and a second preset humidity value; in terms of determining the first airing evaluation result according to the plurality of first values and the preset airing condition, the determining unit 402 is specifically configured to:

In one possible example, after said sending said laundry drying instruction to said intelligent laundry drying apparatus, said determining unit 402 is specifically configured to:

acquiring second outdoor environment data acquired by the sensor module;

In one possible example, after said sending said laundry collection instruction to said intelligent laundry device, said control unit 403 is specifically configured to:

acquiring the working state of the photovoltaic module;

judging whether the working state is stopping power generation;

In one possible example, the indoor environment data includes an indoor temperature value, a ground temperature value, and an indoor humidity value, and the determining unit 402 is specifically configured to:

In one possible example, in terms of the determining the target proportion, the determining unit 402 is specifically configured to:

judging whether the ratio is larger than a preset threshold value or not;

It should be noted that, all relevant contents of each step related to the above method embodiment may be cited to the functional description of the corresponding functional module, which is not described herein.

The electronic device provided in this embodiment is configured to execute the above photovoltaic power processing method, so that the same effects as those of the implementation method can be achieved.

In case an integrated unit is employed, the electronic device may comprise a processing module, a storage module and a communication module. The processing module may be configured to control and manage actions of the electronic device, for example, may be configured to support the electronic device to execute the steps executed by the functional units. The memory module may be used to support the electronic device to execute stored program code, data, etc. And the communication module can be used for supporting the communication between the electronic device and other devices.

Wherein the processing module may be a processor or a controller. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. A processor may also be a combination that performs computing functions, e.g., including one or more microprocessors, digital signal processing (digital signal processing, DSP) and microprocessor combinations, and the like. The memory module may be a memory. The communication module can be a radio frequency circuit, a Bluetooth chip, a Wi-Fi chip and other equipment which interact with other electronic equipment.

The embodiment of the application also provides a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to execute part or all of the steps of any one of the methods described in the embodiments of the method, where the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising a control platform.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-only memory, random access memory, magnetic or optical disk, etc.

The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The balcony energy storage system comprises the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, clothes drying equipment and a dehumidification cabinet, wherein the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying equipment and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying equipment and the dehumidification cabinet; the method comprises the following steps:

Acquiring indoor environment data acquired by the sensor module;

2. The method of claim 1, wherein the balcony energy storage system comprises an intelligent clothes drying device connected to the inverter and the energy storage controller, respectively, and wherein after the determining of the prediction result of the target city entering the return to the south according to the indoor environment data, the method further comprises:

3. The method of claim 2, wherein the plurality of sun-drying impact indicators comprises wind intensity, rainfall, illumination intensity, and humidity, the plurality of first values comprises a first wind intensity value, a first rainfall logic value, a first illumination intensity value, and a first humidity value, and the preset sun-drying conditions comprises a preset wind range, a preset rainfall logic value, a preset illumination intensity range, and a second preset humidity value; the determining a first airing evaluation result according to the first values and the preset airing conditions includes:

4. The method of claim 2, wherein after said sending said laundry drying instruction to said intelligent laundry drying appliance, said method further comprises:

acquiring second outdoor environment data acquired by the sensor module;

5. The method of claim 4, wherein after said sending said laundry collection instruction to said intelligent laundry appliance, said method further comprises:

acquiring the working state of the photovoltaic module;

judging whether the working state is stopping power generation;

6. The method of claim 1, wherein the indoor environment data includes an indoor temperature value, a ground temperature value, and an indoor humidity value, and wherein determining a prediction result of a target city entering the return to the south of the world based on the indoor environment data comprises:

7. The method of claim 2, wherein the determining the target ratio comprises:

judging whether the ratio is larger than a preset threshold value or not;

8. The balcony energy storage system comprises the energy storage controller, a sensor module, a photovoltaic module, an energy storage battery pack, an inverter, clothes drying equipment and a dehumidification cabinet, wherein the energy storage controller is respectively connected with the sensor module, the photovoltaic module, the energy storage battery pack, the inverter, the clothes drying equipment and the dehumidification cabinet, and the inverter is respectively connected with the energy storage battery pack, the clothes drying equipment and the dehumidification cabinet; the photovoltaic power processing device includes: an acquisition unit, a determination unit and a control unit, wherein,

9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.