CN110486520B - Intelligent valve for irrigation system - Google Patents

Intelligent valve for irrigation system Download PDF

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Publication number
CN110486520B
CN110486520B CN201910786950.4A CN201910786950A CN110486520B CN 110486520 B CN110486520 B CN 110486520B CN 201910786950 A CN201910786950 A CN 201910786950A CN 110486520 B CN110486520 B CN 110486520B
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valve
days
data
monitoring module
crop growth
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CN110486520A (en
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张博壹
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00—Watering gardens, fields, sports grounds or the like
    • A01G25/16—Control of watering
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16K—VALVES; TAPS; COCKS; ACTUATING-FLOATS; DEVICES FOR VENTING OR AERATING
    • F16K31/00—Actuating devices; Operating means; Releasing devices
    • F16K31/02—Actuating devices; Operating means; Releasing devices electric; magnetic
    • F16K31/04—Actuating devices; Operating means; Releasing devices electric; magnetic using a motor

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Water Supply & Treatment (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Cultivation Of Plants (AREA)

Abstract

The invention relates to an intelligent valve for an irrigation system, which comprises a valve control module, a crop growth environment monitoring module, a wireless communication module and a remote control and monitoring module. The valve control module comprises a valve mechanical body, a valve driving device and a battery device. The valve mechanical body is arranged on the fluid conveying pipeline, the valve driving device controls the valve body to be opened and closed, and the battery device supplies power for the valve control module.

Description

Intelligent valve for irrigation system
Technical Field
The field of valves for irrigation systems, in particular the field of controlling direction.
Background
The water is an important influence factor in the growth process of crops and directly influences the yield of the crops. The water demand of crops changes along with the growth time of the crops, and the water demand of the crops is different under the conditions of different growth stages, different growth periods, different meteorology and different geographic positions of the crops. At present, most of crop industrial parks still adopt a flood irrigation mode of manually controlling a valve to be opened and closed, on one hand, a large amount of human resources and water resources are wasted, and on the other hand, the irrigation precision is low based on the manual subjective judgment of the crop growth environment. The valve is used as an important component in a crop irrigation system, and the intellectualization of the valve is the key for improving the crop yield. Most of the existing valves are mechanical valves, manual control is needed, the irrigation accuracy is low, and real-time response can not be made according to weather conditions. The existing intelligent valve for the irrigation system has single function, and most of the existing intelligent valves can only respond according to the preset switching time of the system. And a soil humidity monitoring module is additionally arranged, a valve is started when the soil humidity is lower than a certain threshold value, and the valve is closed when the soil humidity reaches the certain threshold value. This device does not take into account precipitation information for the next few days, which can lead to over-irrigation of the crop and thus negatively impact crop yield.
Disclosure of Invention
In view of the above, the present invention provides an intelligent valve for irrigation system that solves or partially solves the above problems.
In order to achieve the effect of the technical scheme, the technical scheme of the invention is as follows: an intelligent valve for an irrigation system comprises a valve control module, a crop growth environment monitoring module, a wireless communication module and a remote control and monitoring module;
the remote control and monitoring module comprises a valve intelligent decision-making device, a cloud data storage device and a data access control device; the intelligent decision device of the valve firstly calculates the effective natural rainfall compensation amount of the crop growing environment according to the forecast rainfall Q of the meteorological forecast information: p is lambda multiplied by K multiplied by Q, wherein lambda is an effective precipitation compensation coefficient, K is a soil permeability coefficient of a crop growth environment, and the soil permeability coefficient is determined by soil temperature and soil humidity; when the permeability coefficient K is 0.7, the relationship between the effective precipitation compensation coefficient λ and the precipitation amount Q is set as follows:
Figure BDA0002178363270000021
then, the current water content of the soil is calculatedWcurrent(ii) a The calculation method is that the data of four soil water content sensors within 10 minutes are extracted, and all the data fall into the interval Wmin,Wmax]In the range of, wherein WminAt minimum water content, WmaxThe maximum water content is the current water content
Figure BDA0002178363270000022
Wherein M is a positive integer, M is more than 0 and less than or equal to M, and WmIs within the interval of 10% xWmin≤Wm≤90％×WmaxThe soil moisture content data monitored by the soil moisture sensor, M is a positive integer, and the value of M satisfies 10% multiplied by Wmin≤Wm≤90％×WmaxConditional WmThe number of (2); then, the temperature coefficient was calculated:
Figure BDA0002178363270000023
wherein T is the average temperature of the crop growing environment within 10 days, including temperatures within the past 7 days and predicted 3 days in the future; then, the illumination coefficient is calculated:
Figure BDA0002178363270000024
wherein the subscript d is a positive integer satisfying 0 < d.ltoreq.10, which in turn represents the last 7 days and the future 3 days, ldNumber of minutes of light on day d; then, the evaporation capacity of the crop growing environment was calculated:
Figure BDA0002178363270000025
wherein s is the average value of the wind speed within 10 days, including the wind speed within the last 7 days and the predicted wind speed within the future 3 days, gamma is the calculated temperature coefficient, w is the average value of the air humidity within 10 days, including the air humidity within the last 7 days and the predicted wind speed within the future 3 days, and l is the illumination coefficient; the water demand index of the crops on the ith day in the future is as follows:
Figure BDA0002178363270000031
wherein i is a positive integer representing the actual water content of EA at a future dayiActual moisture content on day i; EE for predicting Water demand, EEiIs the ithThe predicted water demand of the day; EO is the predicted evaporation amount, EOiPredicted evaporation on day i, PjThe effective natural rainfall compensation amount of the j day, p represents the days of non-rainfall, and q represents the days of rainfall; the amount of makeup water required on day i is then:
Figure BDA0002178363270000032
wherein u is the number of irrigation days; the valve opening time on day i is then: t is ti＝GiV is the flow velocity of the fluid passing through when the valve is opened to the maximum degree, and alpha is the valve opening degree and has the value range of 0-1;
the cloud data storage device is used for data storage, and the stored data comprises crop basic information including crop species, crop growth cycles and water requirements of crops in different growth periods; basic information of the crop growth environment comprises provinces, longitude, latitude, climate zone and altitude; the crop growth environment monitoring module is used for acquiring real-time data and historical data of temperature, humidity, illumination time, wind speed, soil moisture content, video of a crop growth environment; historical meteorological information of the crop growing environment, including the historical maximum value, minimum value and average value of precipitation, temperature, humidity, illumination time and wind speed; weather forecast information of the crop growth environment comprises predicted precipitation, temperature, humidity, illumination time and wind speed information of the future seven days; historical data of valve on-off states including valve on-time, valve off-time, valve opening, fluid flow rate through the valve, fluid flow through the valve; the prediction data of the valve switching state comprises the next valve opening time, the next valve closing time, the next valve opening degree, the next fluid flow velocity passing through the valve and the next fluid flow passing through the valve;
the data access control device comprises a webpage version and a mobile client application, so that a user can access all data of the cloud data storage device at any time and any place through a computer or the mobile client application, and the data access control device comprises: basic information of crops, basic information of a crop growth environment, data and historical data collected by a crop growth environment monitoring module, historical meteorological information of the crop growth environment, meteorological forecast information of the crop growth environment, historical data of a valve switch state and prediction data of the valve switch state; adjusting the preset water demand of crops in different growth periods according to actual conditions; adjusting the result of the valve intelligent decision device; the valve control module and the crop growth environment monitoring module are remotely controlled through the wireless communication module; receiving abnormal information of the valve control module and the crop growth environment monitoring module, and sending out a warning; a valve control module: comprises a valve mechanical body, a valve driving device and a battery device; the valve mechanical body is arranged on the fluid conveying pipeline and responds according to the output result of the valve control module to realize the opening and closing of the valve and the adjustment of the opening degree of the valve; the valve driving device controls the opening, closing, opening time and opening degree of the valve body by receiving valve opening and closing signals sent by the remote control and monitoring module; the battery device comprises two groups of solar panels and two groups of storage batteries, when the illumination is sufficient, the solar panels can convert solar energy into electric energy to continuously supply power for the valve control module; the battery device can ensure normal use under the condition of 20 days of continuous cloudy days; the battery electric quantity state is uploaded to the cloud data storage device through the wireless communication module in real time, and when the electric quantity is insufficient, a battery electric quantity insufficiency early warning is sent to the remote control and monitoring module;
the crop growth environment monitoring module consists of an environment temperature monitoring device, a humidity monitoring device, an illumination monitoring device, a wind speed monitoring device, a soil moisture content monitoring device and a video acquisition device; the temperature, humidity, illumination and wind speed monitoring device is composed of a main sensor and a standby sensor respectively, and under normal conditions, the main sensor collects temperature, humidity, illumination and wind speed data in real time; the soil moisture content monitoring device consists of four sensors which are respectively arranged at a high position of the terrain, a low position of the terrain, a high illumination position and a low illumination position; the video acquisition device consists of a camera, shoots the growth state of crops in real time and can respond to the instruction of the remote control module to carry out angle adjustment; the environment monitoring module uploads the collected temperature, humidity, illumination, wind speed, soil moisture content and video data to the cloud storage platform through the wireless communication device;
a wireless communication module: as a connector of the valve control module, the crop growth environment monitoring module and the remote control and monitoring module, on one hand, real-time data collected by the crop growth environment monitoring module is uploaded to the cloud platform for data storage, and when any sensor of the crop growth environment monitoring module is abnormal, abnormal information is sent to the remote control and monitoring module; and on the other hand, the control instruction of the remote control and monitoring module is transmitted to the valve control module and the crop growth environment monitoring module.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more apparent, the present invention is described in detail below with reference to the embodiments. It should be noted that the specific embodiments described herein are only for illustrating the present invention and are not to be construed as limiting the present invention, and products that can achieve the same functions are included in the scope of the present invention. The specific method comprises the following steps:
example (b): this embodiment specifically introduces an intelligent valve for irrigation system, as follows:
the system comprises a valve control module, a crop growth environment monitoring module, a wireless communication module and a remote control and monitoring module;
the device comprises a valve control module, a crop growth environment monitoring module, a wireless communication module and a remote control and monitoring module. The valve control module comprises a valve mechanical body, a valve driving device and a battery device. The valve mechanical body is arranged on the fluid conveying pipeline, the valve driving device controls the valve body to be opened and closed, and the battery device supplies power for the valve control module. Crop growth environment monitoring module comprises ambient temperature monitoring devices, humidity monitoring devices, illumination monitoring devices, wind speed monitoring devices, soil moisture content monitoring devices and video acquisition device, gathers temperature, humidity, illumination, wind speed, soil moisture content and crop growth environment video information in real time to upload to cloud data storage platform through wireless communication module. And the wireless communication module is used as an information transmission channel of the valve control module, the crop growth environment monitoring module and the remote control and monitoring module. And the remote control and monitoring module comprises a cloud data storage device, a valve intelligent decision device and a data access control device. The cloud data storage device stores crop basic information, crop growth environment basic information, data and historical data collected by the crop growth environment monitoring module, historical meteorological information of the crop growth environment, meteorological forecast information of the crop growth environment, historical data of a valve on-off state and prediction data of the valve on-off state; the intelligent valve decision device predicts the precipitation according to weather prediction information, calculates the environmental evaporation capacity according to the acquired data of the growth environment monitoring module, calculates the crop water demand index and the water demand, and predicts the next opening time and closing time of the valve according to the opening degree of the valve, so that the intelligent decision of opening and closing the valve is realized. The data access control device comprises a webpage version and a mobile client application, so that a user can access all data of the cloud data storage device at any time and any place through a computer or the mobile client application and send a control instruction to the valve control module and the crop growth environment monitoring module.
A valve control module: comprises a valve mechanical body, a valve driving device and a battery device. The valve mechanical body is arranged on the fluid conveying pipeline and responds according to the output result of the valve control module, so that the opening and closing of the valve and the opening degree of the valve are realized. The valve driving device controls the opening, closing, opening time and opening degree of the valve body by receiving the opening and closing signals of the valve sent by the remote control and monitoring module. The battery device comprises two groups of solar cell panels and two groups of storage batteries, and when the illumination is sufficient, the solar cell panels can convert solar energy into electric energy to continuously supply power for the valve control module. The battery device can ensure normal use under the condition of continuously 20 days of cloudy days. The battery electric quantity state is uploaded to the cloud data storage device through the wireless communication module in real time, and when the electric quantity is insufficient, the early warning of insufficient battery electric quantity is sent to the remote control and monitoring module.
Crop growth environment monitoring module: the device is composed of an ambient temperature monitoring device, a humidity monitoring device, an illumination monitoring device, a wind speed monitoring device, a soil moisture content monitoring device and a video acquisition device. The temperature, humidity, illumination and wind speed monitoring device is composed of a main sensor and a standby sensor respectively, and under the normal condition, the main sensor collects temperature, humidity, illumination and wind speed data in real time. The soil moisture content monitoring device consists of four sensors which are respectively arranged at a terrain high position, a terrain low position, a high illumination position and a low illumination position. The video acquisition device consists of a camera, shoots the growth state of crops in real time, and can respond to the instruction of the remote control module to carry out angle adjustment. The environment monitoring module uploads the collected temperature, humidity, illumination, wind speed, soil moisture content and video data to the cloud storage platform through the wireless communication device.
A wireless communication module: as a connector of the valve control module, the crop growth environment monitoring module and the remote control and monitoring module, on one hand, real-time data collected by the crop growth environment monitoring module is uploaded to the cloud platform for data storage, and when any sensor of the crop growth environment monitoring module is abnormal, abnormal information is sent to the remote control and monitoring module. And on the other hand, the control instruction of the remote control and monitoring module is transmitted to the valve control module and the crop growth environment monitoring module.
Remote control and monitoring module: the intelligent valve decision-making system comprises a cloud data storage device, an intelligent valve decision-making device and a data access control device.
The cloud data storage device is used for data storage, and the stored data comprises: the basic information of the crops comprises the types of the crops, the growth periods of the crops and the water requirements of the crops in different growth periods; basic information of the crop growth environment comprises provinces, longitude, latitude, climate zone and altitude; the crop growth environment monitoring module is used for acquiring real-time data and historical data of temperature, humidity, illumination time, wind speed, soil moisture content, video of a crop growth environment; historical meteorological information of the crop growing environment, including the historical maximum value, minimum value and average value of precipitation, temperature, humidity, illumination time and wind speed; weather forecast information of the crop growth environment comprises predicted precipitation, temperature, humidity, illumination time and wind speed information of the future seven days; historical data of valve on-off states including valve on-time, valve off-time, valve opening, fluid flow rate through the valve, fluid flow through the valve; the prediction data of the valve opening and closing state comprises the next valve opening time, the next valve closing time, the next valve opening degree, the next fluid flow velocity passing through the valve and the next fluid flow passing through the valve.
The intelligent decision device of the valve firstly calculates the effective natural rainfall compensation amount of the crop growing environment according to the forecast rainfall Q of the weather forecast information: and P is lambda multiplied by K multiplied by Q, wherein lambda is the effective precipitation compensation coefficient, K is the soil permeability coefficient of the crop growth environment, and the soil permeability coefficient is determined by the soil temperature and the soil humidity. When the permeability coefficient K is 0.7, the relationship between the effective precipitation compensation coefficient λ and the precipitation amount Q is set as follows:
Figure BDA0002178363270000081
then, the current water content W of the soil is calculatedcurrent. The calculation method is that the data of four soil water content sensors within 10 minutes are extracted, and all the data fall into the interval Wmin,Wmax]In the range of, wherein, WminAt minimum water content, WmaxThe maximum water content is the current water content
Figure BDA0002178363270000082
Wherein M is a positive integer, M is more than 0 and less than or equal to M, and WmIs within the interval of 10% xWmin≤Wm≤90％×WmaxThe soil moisture content data monitored by the soil moisture sensor, M is a positive integer, and the value of M satisfies 10% multiplied by Wmin≤Wm≤90％×WmaxConditional WmThe number of (2). Then, the temperature coefficient was calculated:
Figure BDA0002178363270000083
wherein T is within 10 days of the crop growing environmentAverage temperature, including temperature over the past 7 days and predicted 3 days into the future. Then, the illumination coefficient is calculated:
Figure BDA0002178363270000084
wherein the subscript d is a positive integer satisfying 0 < d.ltoreq.10, which in turn represents the last 7 days and the future 3 days, ldThe number of illumination minutes on day d. Then, the evaporation capacity of the crop growing environment was calculated:
Figure BDA0002178363270000085
wherein s is the average value of the wind speed within 10 days, including the wind speed within the past 7 days and the predicted wind speed within the future 3 days, gamma is the calculated temperature coefficient, w is the average value of the air humidity within 10 days, including the air humidity within the past 7 days and the predicted wind speed within the future 3 days, and l is the illumination coefficient. The water demand index of the crops on the ith day in the future is as follows:
Figure BDA0002178363270000086
wherein i is a positive integer representing the actual water content of EA at a future dayiActual moisture content on day i. EE for predicting Water demand, EEiPredicted water demand for day i. EO is the predicted evaporation amount, EOiPredicted evaporation on day i, PjFor the effective natural precipitation compensation on day j, p represents the number of days of non-rainfall and q represents the number of days of rainfall. The amount of makeup water required on day i is then:
Figure BDA0002178363270000087
wherein u is the number of irrigation days. The valve opening time on day i is then: t is ti＝GiAnd/α v, wherein v is the flow velocity of the fluid passing through when the valve opening degree is the maximum, and α is the valve opening degree and has the value range of 0-1.
The data access control device comprises a webpage version and a mobile client application, so that a user can access all data of the cloud data storage device at any time and any place through a computer or the mobile client application, and the data access control device comprises: basic information of crops, basic information of a crop growth environment, data and historical data collected by a crop growth environment monitoring module, historical meteorological information of the crop growth environment, meteorological forecast information of the crop growth environment, historical data of a valve switch state and prediction data of the valve switch state; adjusting the preset water demand of crops in different growth periods according to actual conditions; adjusting the result of the valve intelligent decision device; the valve control module and the crop growth environment monitoring module are remotely controlled through the wireless communication module; and receiving abnormal information of the valve control module and the crop growth environment monitoring module, and giving an alarm.
The above description is only for the preferred embodiment of the present invention, and should not be used to limit the scope of the claims of the present invention. While the foregoing description will be understood and appreciated by those skilled in the relevant art, other equivalents may be made thereto without departing from the scope of the claims.
Has the advantages that: the valve remote control and data access can be realized due to insufficient environmental monitoring data and limited historical data storage capacity, and the valve control decision system has high decision precision. The intelligent valve is necessary to realize accurate irrigation of crops and improve the yield of the crops.

Claims (1)

1. An intelligent valve for an irrigation system, comprising: the system comprises a remote control and monitoring module, a valve control module, a crop growth environment monitoring module and a wireless communication module;
the remote control and monitoring module comprises a valve intelligent decision-making device, a cloud data storage device and a data access control device; the intelligent decision device of the valve firstly calculates the effective natural rainfall compensation amount of the crop growing environment according to the forecast rainfall Q of the meteorological forecast information: p is lambda multiplied by K multiplied by Q, wherein lambda is an effective precipitation compensation coefficient, K is a soil permeability coefficient of a crop growth environment, and the soil permeability coefficient is determined by soil temperature and soil humidity; when the permeability coefficient K is 0.7, the relationship between the effective precipitation compensation coefficient λ and the precipitation amount Q is set as follows:
Figure FDA0002686483040000011
then, the current water content W of the soil is calculatedcurrent(ii) a The calculation method is that the data of four soil water content sensors within 10 minutes are extracted, and all the data fall into the interval Wmin,Wmax]In the range of, wherein WminAt minimum water content, WmaxThe maximum water content is the current water content
Figure FDA0002686483040000012
Wherein M is a positive integer, M is more than 0 and less than or equal to M, and WmIs within the interval of 10% xWmin≤Wm≤90％×WmaxThe soil moisture content data monitored by the soil moisture sensor, M is a positive integer, and the value of M satisfies 10% multiplied by Wmin≤Wm≤90％×WmaxConditional WmThe number of (2); then, the temperature coefficient γ is calculated:
Figure FDA0002686483040000013
wherein T is the average temperature of the crop growing environment within 10 days, including temperatures within the past 7 days and predicted 3 days in the future; then, the illumination coefficient is calculated:
Figure FDA0002686483040000014
wherein the subscript d is a positive integer satisfying 0 < d.ltoreq.10, which in turn represents the last 7 days and the future 3 days, ldNumber of minutes of light on day d; then, the evaporation capacity of the crop growing environment was calculated:
Figure FDA0002686483040000015
wherein s is the average value of the wind speed within 10 days, including the wind speed within the last 7 days and the predicted wind speed within the future 3 days, gamma is the calculated temperature coefficient, w is the average value of the air humidity within 10 days, including the air humidity within the last 7 days and the predicted wind speed within the future 3 days, and l is the illumination coefficient; the water demand index of the crops on the ith day in the future is as follows:
Figure FDA0002686483040000021
wherein i is a positive integer representing the actual water content of EA at a future dayiActual moisture content on day i; EE for predicting Water demand, EEi(ii) predicted water demand for day i; EO is the predicted evaporation amount, EOiPredicted evaporation on day i, PjThe effective natural rainfall compensation amount of the j day, p represents the days of non-rainfall, and q represents the days of rainfall; the amount of makeup water required on day i is then:
Figure FDA0002686483040000022
wherein u is the number of irrigation days; the valve opening time on day i is then: t is ti＝GiV is the flow velocity of the fluid passing through when the valve is opened to the maximum degree, and alpha is the valve opening degree and has the value range of more than 0 and less than or equal to 1;
the cloud data storage device is used for data storage, and the stored data comprises crop basic information including crop types, crop growth periods and water requirements of crops in different growth periods; basic information of the crop growth environment comprises provinces, longitude, latitude, climate zone and altitude; the crop growth environment monitoring module is used for acquiring real-time data and historical data of temperature, humidity, illumination time, wind speed, soil moisture content, video of a crop growth environment; historical meteorological information of the crop growing environment, including the historical maximum value, minimum value and average value of precipitation, temperature, humidity, illumination time and wind speed; weather forecast information of the crop growth environment comprises predicted precipitation, temperature, humidity, illumination time and wind speed information of the future seven days; historical data of valve on-off states including valve on-time, valve off-time, valve opening, fluid flow rate through the valve, fluid flow through the valve; the prediction data of the valve switching state comprises the next valve opening time, the next valve closing time, the next valve opening degree, the next fluid flow velocity passing through the valve and the next fluid flow passing through the valve;
the data access control device comprises a webpage version and a mobile client application, so that a user can access all data of the cloud data storage device at any time and any place through a computer or the mobile client application, and the data access control device comprises: basic information of crops, basic information of a crop growth environment, data and historical data collected by a crop growth environment monitoring module, historical meteorological information of the crop growth environment, meteorological forecast information of the crop growth environment, historical data of a valve switch state and prediction data of the valve switch state; adjusting the preset water demand of crops in different growth periods according to actual conditions; adjusting the result of the valve intelligent decision device; the valve control module and the crop growth environment monitoring module are remotely controlled through the wireless communication module; receiving abnormal information of the valve control module and the crop growth environment monitoring module, and sending out a warning; the valve control module: comprises a valve mechanical body, a valve driving device and a battery device; the valve mechanical body is arranged on the fluid conveying pipeline and responds according to the output result of the valve control module to realize the opening and closing of the valve and the adjustment of the opening degree of the valve; the valve driving device controls the opening, closing, opening time and opening degree of the valve body by receiving valve opening and closing signals sent by the remote control and monitoring module; the battery device comprises two groups of solar panels and two groups of storage batteries, when the illumination is sufficient, the solar panels can convert solar energy into electric energy to continuously supply power for the valve control module; the battery device can ensure normal use under the condition of 20 days of continuous cloudy days; the battery electric quantity state is uploaded to the cloud data storage device through the wireless communication module in real time, and when the electric quantity is insufficient, a battery electric quantity insufficiency early warning is sent to the remote control and monitoring module;
the crop growth environment monitoring module consists of an environment temperature monitoring device, a humidity monitoring device, an illumination monitoring device, a wind speed monitoring device, a soil moisture content monitoring device and a video acquisition device; the temperature, humidity, illumination and wind speed monitoring device is composed of a main sensor and a standby sensor respectively, and under normal conditions, the main sensor collects temperature, humidity, illumination and wind speed data in real time; the soil moisture content monitoring device consists of four sensors which are respectively arranged at a high position of the terrain, a low position of the terrain, a high illumination position and a low illumination position; the video acquisition device consists of a camera, shoots the growth state of crops in real time and can respond to the instruction of the remote control module to carry out angle adjustment; the environment monitoring module uploads the collected temperature, humidity, illumination, wind speed, soil moisture content and video data to the cloud storage platform through the wireless communication device;
the wireless communication module: as a connector of the valve control module, the crop growth environment monitoring module and the remote control and monitoring module, on one hand, real-time data collected by the crop growth environment monitoring module is uploaded to the cloud platform for data storage, and when any sensor of the crop growth environment monitoring module is abnormal, abnormal information is sent to the remote control and monitoring module; and on the other hand, the control instruction of the remote control and monitoring module is transmitted to the valve control module and the crop growth environment monitoring module.
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