CN116311768A - Early warning processing method for tea garden, computer equipment and storage medium - Google Patents
Early warning processing method for tea garden, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a tea garden early warning processing method, computer equipment and storage medium. The method comprises the following steps: acquiring real-time meteorological data of a tea garden; responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy; and responding to weather data which do not meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of the tea. According to the method, whether the disaster early warning condition is met or not is judged according to the meteorological data, so that the photovoltaic panel can be controlled to execute early warning protection actions in time, the disaster early warning condition is not met, and a proper tea garden environment suitable for tea trees is dynamically constructed according to different growth stages of the tea.
Description
Technical Field
The application relates to the technical field of photovoltaics, in particular to an early warning processing method, computer equipment and storage medium for a tea garden.
Background
The tea tree has thousands of years of artificial cultivation history in China, has the growth characteristics of shadow resistance, moisture preference, temperature preference, sun resistance, freezing resistance, waterlogging resistance and the like, and the research results at home and abroad show that the tea tree is reasonably protected according to the growth characteristics of the tea tree, and the tea tree is beneficial to improving the yield of a tea garden and adjusting the quality of tea leaves, for example, promoting the early germination of new shoots of the tea tree, increasing the bud weight and the fresh leaf yield, improving/reducing the content of tea polyphenol, amino acid, caffeine and the like.
Most of the existing tea garden technologies are considered from the single growth characteristics, such as a tea garden shading device to meet the requirement of the tea garden on shadow resistance and sun resistance, so that a large amount of tea polyphenols are produced. But get into tea garden installation tea garden shade device through the equipment of excavator class, can destroy the tea tree, consequently the construction of installation cost degree of difficulty all increases by a wide margin, and efficient, in addition can not adjust the growth environment in tea garden according to the demand at different moments, especially when natural disasters appears, influence tealeaves quality more.
Disclosure of Invention
Based on the method, the computer equipment and the storage medium, the tea garden environment suitable for tea trees is dynamically constructed from different growth stages of tea leaves on the premise of reducing influence on tea garden infrastructure, and the tea trees can be timely protected when natural disasters occur.
The early warning processing method of the tea garden is applied to an intelligent tea garden device, the intelligent tea garden device is connected with a driving device, and the output end of the driving device is connected with a photovoltaic panel; the early warning processing method for the tea garden comprises the following steps:
acquiring real-time meteorological data of a tea garden;
responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and responding to weather data which do not meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of the tea.
In one embodiment, the meteorological data includes at least one of: the system comprises tea garden temperature data, tea garden wind speed data and tea garden snow amount data;
the step of responding to the weather data to meet the disaster warning condition includes:
acquiring date data and time data;
determining that the date data meets a preset early warning time section, and when the time data meets a preset early warning time section and the tea garden temperature data is smaller than a preset early warning temperature threshold;
and/or determining that the wind speed data of the tea garden is greater than a preset early warning wind speed threshold value;
and/or when the date data is determined to meet the preset early warning time node and the snow amount data of the tea garden is greater than the preset early warning snow amount threshold value;
to determine that the weather data satisfies disaster warning conditions.
In one embodiment, before the step of meeting the disaster warning condition in response to the weather data, the method comprises:
different temperature thresholds are preset in different time intervals by using the growth rule information of the tea so as to determine the temperature threshold required by the photovoltaic rotation rule according to the time intervals;
wherein, at least one temperature threshold is marked as an early warning temperature threshold.
In one embodiment, before the step of meeting the disaster warning condition in response to the weather data, the method comprises:
presetting at least three time node according to the growth rule information of the tea, so that every two time node forms different time node sections, and each time node section corresponds to different growth stages of the tea, thereby determining the time node section corresponding to the current growth stage of the tea according to date data;
wherein, at least one time node is marked as an early warning time node, at least one time section is marked as an early warning time section, and one time period of the at least one time section is marked as an early warning period.
In one embodiment, according to the growth rule information of the tea, the step of controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule comprises the following steps:
determining a time section where the current growth stage of the tea leaves is located according to date data;
determining a photovoltaic rotation rule according to the time section;
determining a current time period according to the time data;
according to the current time period and the photovoltaic rotation rule, the driving device is controlled to drive the photovoltaic panel to rotate.
In one embodiment, before the step of controlling the driving device to drive the photovoltaic panel to perform the early warning protection action, the method includes:
according to a plurality of photovoltaic panels pre-stored in the photovoltaic action library, the actions can be executed,
selecting one type of photovoltaic panel executable action from a photovoltaic action library by utilizing the geographic characteristics and the protection strategy of the tea garden as an early warning protection action so that a plurality of photovoltaic panels are paved above the tea garden to form a protection layer;
and utilizing the growth rule information of the tea leaves to enable the photovoltaic panel to realize at least two types of executable actions of the photovoltaic panel in each time section, and further selecting at least two types of executable actions of the photovoltaic panel from a photovoltaic action library according to the current time section as a photovoltaic rotation rule corresponding to the current time section.
In one embodiment, the step of presetting different temperature thresholds at different time intervals includes:
three time section sections are formed by utilizing three time section nodes, and each time section comprises a first time section, a second time section and a third time section;
the first temperature threshold is set at a first time period of the first time period, the second temperature threshold is set at a second time period of the first time period, and the third temperature threshold is set at a first time period of the second time period.
In one embodiment, according to the current time period and the photovoltaic rotation rule, the step of controlling the driving device to drive the photovoltaic panel to rotate includes:
responding to the situation that the date data are located in a first time section, the time data are located in a first time section, and the tea garden temperature data are smaller than a first temperature threshold value, or the date data are located in a second time section, the time data are located in the first time section, and the tea garden temperature data are larger than a third temperature threshold value, or the date data are located in a third time section, and the time data are located in the first time section, controlling a driving device to drive a photovoltaic panel to rotate clockwise along a complementary angle of a sunlight altitude angle;
responding to the situation that the date data are located in a first time section, the time data are located in a first time section, and the tea garden temperature data are larger than a first temperature threshold value, or the situation that the date data are located in a second time section, the time data are located in the first time section, and the tea garden temperature data are smaller than a third temperature threshold value, controlling a driving device to drive a photovoltaic panel to rotate anticlockwise along a sunlight altitude angle;
responding to that the date data is located in a first time section, the time data is located in a second time section, the tea garden temperature data is larger than a second temperature threshold value, or the date data is located in a second time section, the time data is located in a second time section, or the date data is located in a third time section, the time data is located in a second time section, or when the meteorological data comprise soil humidity data, the soil humidity data are smaller than a preset humidity threshold value, or before an early warning time section, the tea garden snow amount data are larger than a preset snow amount threshold value, the driving device is controlled to drive the photovoltaic panel to rotate anticlockwise to a maximum angle.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring real-time meteorological data of a tea garden;
responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and responding to weather data which do not meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of the tea.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring real-time meteorological data of a tea garden;
responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and responding to weather data which do not meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of the tea.
According to the early warning processing method, the computer equipment and the storage medium of the tea garden, early warning judgment is carried out on disaster conditions of the tea garden according to real-time meteorological data of the tea garden, and when the meteorological data meet disaster early warning conditions, the driving device is controlled to drive the photovoltaic panel to execute early warning protection actions according to a preset protection strategy; when the meteorological data do not meet disaster early warning conditions, the driving device is controlled to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of tea. When the meteorological data do not meet disaster early warning conditions, determining a time section where the current growth stage of the tea leaves is located according to date data; determining a photovoltaic rotation rule according to the time section; determining a current time period according to the time data; according to the current time period and the photovoltaic rotation rule, the driving device is controlled to drive the photovoltaic panel to rotate, so that sunlight can be utilized to the greatest extent to generate electricity when the proper temperature of tea bud or the proper temperature of crazy rise exists, and the tea tree is ventilated or dew condensation is assisted when the sunlight does not exist; when the tea grows at a proper temperature, sunlight can be directly irradiated on tea trees to the maximum extent; when the tea leaves are at a proper hibernation temperature, the photovoltaic plates are paved to prevent the frost of the tea trees. .
Drawings
FIG. 1 is an application environment diagram of a method for early warning processing in a tea garden according to one embodiment;
fig. 2 is a flow chart of a method for early warning treatment of a tea garden in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, the early warning processing method for the tea garden provided by the application can be applied to an application environment shown in fig. 1. A tea garden is provided with a tea garden intelligent device 100, a driving device 200, a photovoltaic panel 300 and a weather monitoring device 400; the intelligent tea garden device 100 is respectively connected with the weather monitoring device 400 and the driving device 200, and the output end of the driving device 200 is connected with the photovoltaic panel 300.
The weather monitoring device 400 is used for monitoring weather data in a tea garden in real time, transmitting the weather data to the intelligent tea garden device 100, and judging whether the weather parameters in the weather data meet preset conditions or not through the intelligent tea garden device 100 so as to trigger and execute corresponding actions.
The photovoltaic panel 300 is encapsulated with a solar cell for converting light energy into electric energy. The photovoltaic panel adopts photovoltaic glass to package the solar cell, and the photovoltaic glass has better light transmittance and very high hardness, and can adapt to larger day and night temperature difference and severe environment.
The driving device 200 may employ a driving motor. The purlin has set firmly to the lower surface of photovoltaic board 300, and drive arrangement's output is equipped with the connecting axle, and the connecting axle is connected with the purlin, can not direct contact photovoltaic board, and drive arrangement passes through connecting axle, purlin and drives the photovoltaic board and rotate to make the photovoltaic board can track sunlight altitude angle.
In one embodiment, as shown in fig. 2, a control method of a photovoltaic panel for a tea garden is provided, and the method is applied to the intelligent device for the tea garden in fig. 1 for illustration, and includes the following steps:
step S100, acquiring real-time meteorological data of a tea garden;
step S300, responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and step S300, in response to weather data not meeting disaster warning conditions, controlling a driving device to drive a photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of tea.
In step S100, the intelligent tea garden device acquires real-time weather data of the tea garden through the weather monitoring device, so as to classify the acquired weather data one by one and then pre-judge the weather data one by one, and further judge the weather data one by using preset disaster early warning conditions.
Wherein, the meteorological data may include: tea garden temperature data, tea garden wind speed data, tea garden snow amount data and tea garden rainfall data. The weather monitoring device can adopt a miniature weather monitoring station, for example, an integrated weather station of PH-M10YT version, and is provided with a plurality of sensors, such as an ultrasonic principle wind speed and direction sensor, a high-precision digital temperature sensor, a high-precision digital humidity sensor, a high-precision air pressure sensor, a piezoelectric rainfall sensor and the like, so that weather data such as wind speed, wind direction, temperature, humidity, pressure, rainfall and the like can be accurately and rapidly detected.
In one embodiment, the meteorological data includes at least one of: tea garden temperature data, tea garden wind speed data and tea garden snow amount data;
in step S200, in response to the weather data meeting the disaster warning condition, the driving device is controlled to drive the photovoltaic panel to execute the warning protection action according to the preset protection strategy.
Further describing, the step of responding to the weather data to meet the disaster early warning condition in step S200 includes:
acquiring date data and time data;
determining that the date data meets a preset early warning time section, and when the time data meets a preset early warning time section and the tea garden temperature data is smaller than a preset early warning temperature threshold;
and/or determining that the wind speed data of the tea garden is greater than a preset early warning wind speed threshold value;
and/or when the date data is determined to meet the preset early warning time node and the snow amount data of the tea garden is greater than the preset early warning snow amount threshold value;
to determine that the weather data satisfies disaster warning conditions.
That is, the preset protection strategy can be implemented as long as the meteorological data satisfies one of the disaster early warning conditions. After the meteorological data are acquired, whether disaster early warning conditions are met is judged one by one.
For step S200, further explanation is provided that, before the step of responding to the weather data to meet the disaster early warning condition, the method includes: the method comprises the steps of presetting an early warning time section, an early warning time period, an early warning temperature threshold value and an early warning wind speed threshold value.
In one embodiment, before the step of responding to the weather data to meet the disaster warning condition, the method comprises:
different temperature thresholds are preset in different time intervals by using the growth rule information of the tea so as to determine the temperature threshold required by the corresponding photovoltaic rotation rule according to the time intervals;
wherein, at least one temperature threshold is marked as an early warning temperature threshold.
In one embodiment, prior to the step of meeting the disaster warning condition in response to the weather data, the method comprises:
presetting at least three time node according to the growth rule information of the tea, so that every two time node forms different time node sections, and each time node section corresponds to different growth stages of the tea, thereby determining the time node section corresponding to the current growth stage of the tea according to date data;
wherein, at least one time node is marked as an early warning time node, at least one time section is marked as an early warning time section, and one time period of the at least one time section is marked as an early warning period.
Further, for example, the time node is in the beginning of spring, qing dynasty, or white dew, the corresponding time node corresponds to specific date information, and the time interval of the time node is used in this embodiment to represent the time interval of the tea growth phase because the date information of the time node in each year is not completely consistent, and the tea growth phase corresponds to the time node in each year.
In one embodiment, three time intervals are formed with three time nodes, the three time intervals including a first time interval, a second time interval, and a third time interval. For example, from early spring to early clear, the first time interval is represented, from early clear to white dew, the second time interval is represented, and from white dew to early spring, the third time interval is represented. Therefore, when specific date data is known, the time section in which the date data is located can be known.
In step S300, in response to the weather data not meeting the disaster warning condition, the step of controlling the driving device to drive the photovoltaic panel to rotate according to the preset photovoltaic rotation rule according to the growth rule information of the tea leaves includes:
determining a time section where the current growth stage of the tea leaves is located according to date data;
determining a photovoltaic rotation rule according to the time section;
determining a current time period according to the time data;
according to the current time period and the photovoltaic rotation rule, the driving device is controlled to drive the photovoltaic panel to rotate.
Further, before the step of controlling the driving device to drive the photovoltaic panel to perform the early warning protection action, the method includes:
according to a plurality of photovoltaic panels pre-stored in the photovoltaic action library, the actions can be executed,
selecting one type of photovoltaic panel executable action from a photovoltaic action library by utilizing the geographic characteristics and the protection strategy of the tea garden as an early warning protection action so that a plurality of photovoltaic panels are paved above the tea garden to form a protection layer;
and utilizing the growth rule information of the tea leaves to enable the photovoltaic panel to realize at least two types of executable actions of the photovoltaic panel in each time section, and further selecting at least two types of executable actions of the photovoltaic panel from a photovoltaic action library according to the current time section as a photovoltaic rotation rule corresponding to the current time section.
The photovoltaic action library in this embodiment stores a plurality of photovoltaic panel executable actions in advance, wherein the photovoltaic panel executable actions include clockwise rotation according to a complementary angle of a solar altitude angle, anticlockwise rotation according to the solar altitude angle, tiling along a horizontal ground, anticlockwise rotation to a maximum angle.
Further illustratively, determining a current time period based on the time data; wherein, a preset time period is set; the time period includes a first time period representing the day and a second time period representing the night. Because the time nodes between the day and the night in each place are not fixed, a specific certain time interval is not limited in the embodiment, the time period in which the day is located is represented by the first time period, the time period in which the night is located is represented by the second time period, and then the time period in which the time data is located can be determined according to the latitude and longitude data and the time data in the tea garden, which may be the first time period or the second time period.
In one embodiment, the step of presetting different temperature thresholds at different time intervals comprises:
three time section sections are formed by utilizing three time section nodes, and each time section comprises a first time section, a second time section and a third time section;
the first temperature threshold is set at a first time period of the first time period, the second temperature threshold is set at a second time period of the first time period, and the third temperature threshold is set at a first time period of the second time period.
Wherein, different temperature thresholds are preset according to different time intervals in response to the growth rule information of the tea leaves;
and determining a temperature threshold corresponding to the photovoltaic rotation rule according to the time interval.
The growth rule information of a certain type of tea comprises the following steps:
when the temperature of the tea garden is less than 5 ℃, the tea trees enter hibernation;
when the temperature of the tea garden is 5-10 ℃, the tea trees start to sprout;
when the temperature of the tea garden is 10-20 ℃, the tea trees grow rapidly;
when the temperature of the tea garden is 20-30 ℃, the tea trees are expanded and a large amount of tea polyphenol is produced;
stopping growing when the temperature of the tea garden is higher than 30 ℃.
Based on the growth rule information of the tea, in this embodiment, the nodes of the time node are the spring, the Qingming and the white dew, for example, "the spring" indicates that the tea starts to bud, the time node is the picking time node of the spring tea when the temperature and the humidity are proper and the content of tea polyphenol and caffeine is the highest before and after the Qingming, and the time node is the picking time node of the autumn tea because the caffeine is only half of the spring tea before and after the white dew. For example, 10 ℃ is set as a first temperature threshold value and 5 ℃ is set as a second temperature threshold value in a first time period from the beginning of spring to the beginning of the clear, and 20 ℃ is set as a third temperature threshold value in a second time period from the beginning of the clear to the end of the white.
Further, according to the current time period and according to the photovoltaic rotation rule, the step of controlling the driving device to drive the photovoltaic panel to rotate comprises the following steps:
responding to the situation that the date data are located in a first time section, the time data are located in a first time section, and the tea garden temperature data are smaller than a first temperature threshold value, or the date data are located in a second time section, the time data are located in the first time section, and the tea garden temperature data are larger than a third temperature threshold value, or the date data are located in a third time section, and the time data are located in the first time section, controlling a driving device to drive a photovoltaic panel to rotate clockwise along a complementary angle of a sunlight altitude angle;
responding to the situation that the date data are located in a first time section, the time data are located in a first time section, and the tea garden temperature data are larger than a first temperature threshold value, or the situation that the date data are located in a second time section, the time data are located in the first time section, and the tea garden temperature data are smaller than a third temperature threshold value, controlling a driving device to drive a photovoltaic panel to rotate anticlockwise along a sunlight altitude angle;
responding to that the date data is located in a first time section, the time data is located in a second time section, the tea garden temperature data is larger than a second temperature threshold value, or the date data is located in a second time section, the time data is located in a second time section, or the date data is located in a third time section, the time data is located in a second time section, or when the meteorological data comprise soil humidity data, the soil humidity data are smaller than a preset humidity threshold value, or before an early warning time section, the tea garden snow amount data are larger than a preset snow amount threshold value, the driving device is controlled to drive the photovoltaic panel to rotate anticlockwise to a maximum angle.
Thus, in one embodiment, taking three time intervals as an example, the following table 1 shows a tea garden early warning processing scheme implemented by different photovoltaic panel executable actions in different time intervals.
TABLE 1
In the early warning processing method of the tea garden, early warning judgment is carried out on disaster conditions of the tea garden according to real-time meteorological data of the tea garden, and when the meteorological data meet disaster early warning conditions, the driving device is controlled to drive the photovoltaic panel to execute early warning protection actions according to a preset protection strategy; when the meteorological data do not meet disaster early warning conditions, the driving device is controlled to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of tea. When the meteorological data do not meet disaster early warning conditions, determining a time section where the current growth stage of the tea leaves is located according to date data; determining a photovoltaic rotation rule according to the time section; determining a current time period according to the time data; according to the current time period and the photovoltaic rotation rule, the driving device is controlled to drive the photovoltaic panel to rotate, so that sunlight can be utilized to the greatest extent to generate electricity when the proper temperature of tea bud or the proper temperature of crazy rise exists, and the tea tree is ventilated or dew condensation is assisted when the sunlight does not exist; when the tea grows at a proper temperature, sunlight can be directly irradiated on tea trees to the maximum extent; when the tea leaves are at a proper hibernation temperature, the photovoltaic plates are paved to prevent the frost of the tea trees.
In one embodiment, a computer device is provided, which may be a server. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing control data of the photovoltaic panels in the tea garden. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for controlling a photovoltaic panel for a tea garden.
In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for controlling a photovoltaic panel for a tea garden. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the structures presented in this example are block diagrams of only some of the structures associated with the aspects of the present application and do not constitute a limitation of the computer apparatus to which the aspects of the present application may be applied, and that a particular computer apparatus may include more or less components than those shown, or may combine some of the components, or may have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring real-time meteorological data of a tea garden;
responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and responding to weather data which do not meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of the tea.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring real-time meteorological data of a tea garden;
responding to weather data meeting disaster early warning conditions, and controlling a driving device to drive a photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and responding to weather data which do not meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to growth rule information of the tea.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. The early warning processing method of the tea garden is applied to an intelligent tea garden device, the intelligent tea garden device is connected with a driving device, and the output end of the driving device is connected with a photovoltaic panel; the early warning processing method for the tea garden is characterized by comprising the following steps:
acquiring real-time meteorological data of a tea garden;
responding to the weather data to meet disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to execute early warning protection actions according to a preset protection strategy;
and responding to the weather data not meeting the disaster early warning conditions, and controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to the growth rule information of the tea.
2. The method of claim 1, wherein the weather data comprises at least one of: tea garden temperature data, tea garden wind speed data and tea garden snow amount data;
the step of responding to the weather data to meet disaster warning conditions comprises the following steps:
acquiring date data and time data;
determining that the date data meets a preset early warning time section, and when the time data meets a preset early warning time section and the tea garden temperature data is smaller than a preset early warning temperature threshold;
and/or when the wind speed data of the tea garden is determined to be larger than a preset early warning wind speed threshold value;
and/or after determining that the date data meets a preset early warning time node, and when the tea garden snow amount data is larger than a preset early warning snow amount threshold;
and judging that the meteorological data meets disaster early warning conditions.
3. The method of claim 2, comprising, prior to the step of responding to the weather data to satisfy disaster warning conditions:
different temperature thresholds are preset in different time intervals by using growth rule information of tea so as to determine the temperature threshold required by the photovoltaic rotation rule according to the time intervals;
and marking at least one of the temperature thresholds as an early warning temperature threshold.
4. A method of pre-warning a tea garden in accordance with claim 3, comprising, prior to the step of meeting disaster pre-warning conditions in response to said meteorological data:
presetting at least three time node according to the growth rule information of the tea leaves, so that every two time node forms different time node sections, and each time node section corresponds to different growth stages of the tea leaves, thereby determining the time node section corresponding to the current growth stage of the tea leaves according to the date data;
wherein, at least one time node is marked as an early warning time node, at least one time section is marked as an early warning time section, and one time period of at least one time section is marked as an early warning period.
5. The method for pre-warning treatment of tea garden according to claim 4, wherein the step of controlling the driving device to drive the photovoltaic panel to rotate according to a preset photovoltaic rotation rule according to the growth rule information of tea leaves comprises:
determining a time section where the current growth stage of the tea leaves is located according to the date data;
determining the photovoltaic rotation rule according to the time interval;
determining a current time period according to the time data;
and controlling the driving device to drive the photovoltaic panel to rotate according to the current time period and the photovoltaic rotation rule.
6. The method for pre-warning treatment of tea garden according to claim 5, wherein before the step of controlling the driving device to drive the photovoltaic panel to perform the pre-warning protection action, the method comprises:
according to a plurality of photovoltaic panel executable actions prestored in a photovoltaic action library, selecting one type of photovoltaic panel executable action from the photovoltaic action library by utilizing the geographic characteristics of a tea garden and the protection strategy as the early warning protection action so that the plurality of photovoltaic panels are tiled above the tea garden to form a protection layer;
and utilizing growth rule information of tea leaves to enable the photovoltaic panel to realize at least two executable actions of the photovoltaic panel in each time section, and further selecting at least two executable actions of the photovoltaic panel from the photovoltaic action library according to the current time section as a photovoltaic rotation rule corresponding to the current time section.
7. The method for pre-warning processing in tea garden according to claim 5, wherein the step of presetting different temperature thresholds in different time intervals comprises:
forming three time section sections by using three time section nodes, wherein the three time section sections comprise a first time section, a second time section and a third time section;
the first temperature threshold is set at a first time period of the first time period, the second temperature threshold is set at a second time period of the first time period, and the third temperature threshold is set at a first time period of the second time period.
8. The method for early warning processing of a tea garden according to claim 7, wherein the step of controlling the driving device to drive the photovoltaic panel to rotate according to the photovoltaic rotation rule according to the current time period comprises:
controlling the driving device to drive the photovoltaic panel to rotate clockwise along a complementary angle of a sunlight altitude angle in response to the date data being located in the first time interval, the time data being located in the first time interval, the tea garden temperature data being smaller than a first temperature threshold, or the date data being located in the second time interval, the time data being located in the first time interval, the tea garden temperature data being greater than a third temperature threshold, or the date data being located in the third time interval, the time data being located in the first time interval;
responding to the situation that the date data are located in the first time interval, the time data are located in the first time interval, and the tea garden temperature data are larger than a first temperature threshold value, or the date data are located in the second time interval, the time data are located in the first time interval, and the tea garden temperature data are smaller than a third temperature threshold value, controlling the driving device to drive the photovoltaic panel to rotate anticlockwise along a sunlight altitude angle;
and responding to the fact that the date data is located in the first time section, the time data is located in the second time section, the tea garden temperature data is larger than the second temperature threshold, or the date data is located in the second time section, the time data is located in the second time section, or the date data is located in the third time section, the time data is located in the second time section, or when the meteorological data comprises soil humidity data, the soil humidity data is smaller than a preset humidity threshold, or before the early warning time section, the tea garden snow amount data is larger than the preset snow amount threshold, the driving device is controlled to drive the photovoltaic panel to rotate anticlockwise to a maximum angle.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 8 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
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| CN117111643A (en) * | 2023-10-18 | 2023-11-24 | 深圳市建工集团股份有限公司 | Control method and device for photovoltaic panel group |
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| CN117111643A (en) * | 2023-10-18 | 2023-11-24 | 深圳市建工集团股份有限公司 | Control method and device for photovoltaic panel group |
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