CN114189543B - Vegetable seedling greenhouse environment assessment method and system based on Internet of things - Google Patents
Vegetable seedling greenhouse environment assessment method and system based on Internet of things Download PDFInfo
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- 235000013311 vegetables Nutrition 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000012010 growth Effects 0.000 claims abstract description 93
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 22
- 230000008878 coupling Effects 0.000 claims abstract description 21
- 238000010168 coupling process Methods 0.000 claims abstract description 21
- 238000005859 coupling reaction Methods 0.000 claims abstract description 21
- 230000005855 radiation Effects 0.000 claims abstract description 15
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 11
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 230000000243 photosynthetic effect Effects 0.000 claims abstract description 3
- 238000004891 communication Methods 0.000 claims description 46
- 230000007613 environmental effect Effects 0.000 claims description 42
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims description 31
- 238000012544 monitoring process Methods 0.000 claims description 13
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- 238000013500 data storage Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- 230000003993 interaction Effects 0.000 claims description 9
- 230000001276 controlling effect Effects 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 238000009825 accumulation Methods 0.000 claims description 5
- 230000008635 plant growth Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 244000241235 Citrullus lanatus Species 0.000 claims description 2
- 235000012828 Citrullus lanatus var citroides Nutrition 0.000 claims description 2
- 235000007688 Lycopersicon esculentum Nutrition 0.000 claims description 2
- 240000003768 Solanum lycopersicum Species 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 10
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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Abstract
The invention provides a vegetable seedling greenhouse environment assessment method and system based on the Internet of things, comprising the following steps: the intelligent control system comprises a plurality of sensing devices, adjusting devices, an edge intelligent gateway, a cloud service platform and a mobile control terminal, wherein the sensing devices and the adjusting devices are arranged in each seedling raising greenhouse, the edge intelligent gateway manages a plurality of vegetable seedling raising greenhouses, the sensing devices receive a growth model of seedlings under growth conditions from the cloud service platform through real-time environment temperature, humidity, photosynthetic effective radiation values and carbon dioxide concentration values in the greenhouses, the intelligent gateway performs coupling analysis on environment parameter data through established light, humidity and temperature coupling models, and provides a regulation scheme suitable for seedling growth to control the adjusting devices to regulate and control greenhouse environments according to expert system operation driven by the seedling growth models.
Description
Technical Field
The invention relates to the field of an environment assessment method and data acquisition of the Internet of things, in particular to a greenhouse environment assessment method and system for vegetable seedling cultivation based on the Internet of things.
Background
Along with the progress of science and technology and the rapid development of the Internet of things technology, the construction of the agricultural greenhouse is also continuously developed to the large-scale and intensive directions. Although the current greenhouse can collect parameters such as temperature, humidity, illuminance, carbon dioxide concentration, crop growth condition and the like in the greenhouse, the current environment regulation mode of the vegetable seedling greenhouse is mostly simple and rough, for example, manual regulation or single environmental factor regulation is adopted, the regulation mode has great influence on crop growth, an optimal growth environment cannot be provided for crops, and the improvement of the yield and quality of vegetable seedlings is not facilitated; meanwhile, the situation that power supply is little or no in the seedling raising greenhouse brings great problems to the traditional sensor node arrangement; and most agricultural companies operate the greenhouse remotely, and the traditional monitoring system is used for solving the problems of unstable signals and the like.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the vegetable seedling greenhouse environment assessment method and system based on the Internet of things, and the method and system have the characteristics of simple structure, convenience in use, stable performance and the like, and can realize acquisition, analysis, treatment and intelligent regulation and control of temperature, humidity, carbon dioxide and illumination.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows: vegetable seedling greenhouse environment evaluation system based on thing networking, its characterized in that: the vegetable seedling greenhouse environment assessment method and system comprises the following steps: the system comprises a plurality of sensing devices, an adjusting device, an edge intelligent gateway, a cloud service platform and a mobile control terminal;
The edge intelligent gateway is used for receiving a remote control command and a growth model issued by the cloud service platform; the edge intelligent gateway comprises a main control module, a 5G communication module, a growth model storage module, a data storage module and a power supply module; the main control module is used for carrying out environment information coupling and evaluation on the environment parameter data and storing the evaluated parameter data in the data storage module; the main control module receives the growth model and a remote control command through the 5G communication module, and controls the regulating device to regulate and control the greenhouse environment; the 5G communication module is used for uploading environment parameter data in the seedling greenhouse to the cloud service platform;
The sensing device comprises a sensor module, a control module and a Lora communication module, wherein the sensor module and the Lora communication module are respectively connected with the embedded microprocessor, and the sensor module is used for collecting environmental parameter data in the seedling raising greenhouse; the control module is used for receiving environmental parameter data of the seedling greenhouse and a control command of the edge intelligent gateway; the Lora communication module is used for sending the environmental parameter data in the seedling raising greenhouse to the edge intelligent gateway in a Lora communication mode.
Preferably, the sensor module includes: an air temperature and humidity sensor, a photosynthetic active radiation sensor and a carbon dioxide sensor.
Preferably, the adjusting device includes: a carbon dioxide generator, a shading net device and a blower device.
The invention also provides a vegetable seedling greenhouse environment assessment method based on the Internet of things, which comprises the following steps:
A. Remote control mode:
Step 1, collecting environmental parameter data of a vegetable seedling greenhouse, and sending the environmental parameter data to an edge intelligent gateway;
Step 2, the edge intelligent gateway is used for receiving a remote control command and a growth model issued by the cloud service platform, performing environment information coupling and evaluation on the received environment parameter data, and controlling the regulating device to perform environment regulation according to the growth model under the seedling growth condition information;
Step 3, the edge intelligent gateway uploads the environmental parameter data after analysis processing to the cloud service platform based on a 5G communication mode;
Step 4, the cloud service platform is used for receiving and storing environment parameter data from the edge intelligent gateway, and is used for inquiring information in the later period of a user and continuously optimizing a plant growth model through big data;
step 5, the mobile control terminal provides a graphical interaction function, obtains and graphically displays the environmental parameter data and the analysis result data to a user, receives an interaction instruction input by the user, and transmits a remote control command to the cloud service platform according to the interaction instruction;
Step 6, a remote user logs in the mobile control terminal to communicate with the cloud service platform through the Internet, so that remote monitoring of the environment parameter data of the seedling greenhouse is realized;
B. local control mode:
step 1, an edge intelligent gateway communicates with a sensing device and an adjusting device through a Lora wireless communication network;
and 2, the mobile control terminal communicates with the edge intelligent gateway through a local communication network to cooperatively complete information acquisition and environment monitoring of the local network of the vegetable seedling greenhouse.
Preferably, the growth model is a seedling growth model based on light, humidity and temperature coupling, the radiation heat product is an environment comprehensive index closely related to the processes of crop growth and development speed, dry matter accumulation rate and the like, and a certain growth stage of vegetable seedlings can be represented by the radiation heat product accumulated in the process. At present, a plurality of ways are still used for measuring the dynamic development process of crops, and the invention provides a light, humidity and temperature coupling model based on the current heat radiation product, wherein the formula expression method is as follows:
f0＝f1×f2
f2＝TEPi+1
TEPi+1＝TEPi+DTEPi+1
Wherein RTE (T) is the relative thermal effect per h; tm is the upper limit temperature (DEG C) of the growth of greenhouse seedlings; tb is the lower limit temperature (DEG C) of greenhouse seedling growth; tob is the lower temperature limit (DEG C) for growth; tom is the upper limit of the optimum humidity for growth (deg.c); t is the average temperature (DEG C) per hour; the highest growth temperature of seedling growth in the daytime greenhouse is 40 ℃, the lowest growth temperature is 10 ℃, the upper limit temperature and the lower limit temperature of the optimal growth temperature are 23 ℃ and 28 ℃, and 13 ℃ and 15 ℃ are respectively used at night. The photosynthetically total effective radiation represented by PAR is within 1 h; HTEP is the cumulative radiant heat product (MJ/(m2.h)) within 1h, DTEP is the cumulative radiant heat product (MJ/(m2.h)) within 1day, TEPi is the cumulative radiant heat product (MJ/(m2.h)) up to the i day, DTEPi +1 is the total daily radiant heat product (MJ/(m2.h)) of the i+1th day, f0 is the comprehensive environmental factor, f1 is the humidity effect value, f2 is the auxiliary cumulative heat comprehensive environmental factor, and Hm is the upper greenhouse seedling growth limit temperature (RH); hb is the lower limit temperature (RH) of greenhouse seedling growth; hob is the growth optimum lower temperature limit (RH); hom is the upper limit of growth optimum humidity (RH); h is the average temperature (RH); wherein alpha and beta are obtained by fitting big data of specific crop planting conditions.
Preferably, the mobile control terminal is one or a combination of a plurality of mobile phones, tablet computers and PCs.
Preferably, the seedling growth model based on light, wet and temperature coupling comprises, but is not limited to: tomato seedlings and watermelon seedlings.
The invention has the beneficial effects that:
1. the invention regulates and controls the growth process of vegetable seedlings by establishing a light, humidity and temperature coupling model, namely comprehensive environmental factors, reduces artificial judgment by the intelligent regulation and control of the greenhouse environment assessment method, and provides scientific basis for planting and management of vegetable seedlings.
2. The invention designs two monitoring modes for the vegetable seedling greenhouse system, which are divided into remote control and local control, and the greenhouse is often in a remote position, so that the problems of low bandwidth, weak network signals and the like exist; the invention adopts various elements with low power consumption and high severe environment tolerance, and is provided with the solar charging mobile power supply, so that the installation position of the solar charging mobile power supply is more flexible and changeable, and continuous and low-power consumption environment sensing and data transmission are provided for the environment monitoring device.
Drawings
FIG. 1 is a block diagram of the overall structure of a vegetable seedling greenhouse environment assessment method and system based on the Internet of things;
FIG. 2 is a block diagram of the hardware structure of the sensing device according to the present invention;
fig. 3 is a block diagram of a hardware structure of an edge intelligent gateway according to the present invention;
FIG. 4 is a functional block diagram of a cloud service platform according to the present invention;
FIG. 5 is a flow chart of the environmental assessment method and control according to the present invention;
FIG. 6 is a flowchart of an edge intelligent gateway control procedure according to the present invention;
FIG. 7 is a flow chart of the edge intelligent gateway control according to the present invention;
FIG. 8 is a flow chart of a control terminal program according to the present invention;
fig. 9 is a flowchart of a control method according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the overall architecture of the embodiment of the present invention includes: the intelligent vegetable seedling growing greenhouse comprises a plurality of sensing devices, an adjusting device, an edge intelligent gateway, a cloud service platform and a mobile control terminal, wherein the sensing devices and the adjusting device are arranged in the vegetable seedling growing greenhouse;
The sensing device comprises a sensor module, an embedded microprocessor and a sensing Lora communication module, wherein the sensor module and the sensing Lora communication module are respectively connected with the embedded microprocessor, and the sensor module is used for collecting environmental parameter data in the seedling raising greenhouse; the embedded microprocessor is used for receiving environmental parameter data of the seedling greenhouse and a control command from the edge intelligent gateway; the sensing Lora communication module is used for sending environmental parameter data in the seedling raising greenhouse to the edge intelligent gateway in a Lora communication mode;
The edge intelligent gateway comprises a main control module, a 5G communication module, an edge Lora communication module, a growth model storage module and a data storage module, wherein the main control module is used for carrying out environment information coupling and evaluation on environment parameter data, storing the evaluated parameter data in the data storage module and carrying out greenhouse environment regulation and control through a control and adjustment device, the 5G communication module is used for receiving a remote control command and a growth model issued by a cloud service platform or uploading environment parameter data in a seedling greenhouse to the cloud service platform, and the edge Lora communication module is used for receiving the environment parameter data from a sensing device;
The adjusting device comprises a carbon dioxide generator, an electric sunshade net device and a blower device, wherein the carbon dioxide generator, the electric sunshade net device and the blower device are electrically connected with a main control module of the edge intelligent gateway.
The system has two control modes, namely a remote control mode and a local control mode, wherein the remote control mode consists of a sensing device, an adjusting device, an edge intelligent gateway, a cloud service platform and a mobile control terminal, wherein the sensing device and the adjusting device are arranged in a vegetable seedling greenhouse, the sensing device acquires environmental parameter data of the vegetable seedling greenhouse by configuring a plurality of different types of sensors, and the environmental parameter data is sent to the edge intelligent gateway; the edge intelligent gateway is used for carrying out environment information coupling and evaluation on the received environment parameter data, controlling the regulating device to carry out environment regulation and control according to a growth model under the seedling growth condition information, uploading the analyzed and processed seedling greenhouse environment parameter data to the cloud service platform based on a 5G communication mode, and receiving a remote control command and a seedling growth model from the cloud service platform; the cloud service platform is used for receiving and storing the environment parameter data from the edge intelligent gateway and simultaneously providing the required environment parameter data for the mobile control terminal in response to the request of the mobile control terminal. The remote user logs in the mobile control terminal to communicate with the cloud service platform through the Internet, so that remote monitoring and management of the environment parameter data of the seedling greenhouse are realized;
The local control mode is composed of a plurality of sensing devices, an adjusting device, an edge intelligent gateway and a mobile control terminal, wherein the edge intelligent gateway is communicated with the sensing devices and the adjusting device through a Lora wireless communication network, and the mobile control terminal is directly communicated with the edge intelligent gateway through the local communication network to cooperatively complete information acquisition and environment monitoring of the vegetable seedling growing network.
The growth model is a seedling growth model based on light, humidity and temperature coupling, and the radiation heat product is an environment comprehensive index closely related to the processes of crop growth and development speed, dry matter accumulation rate and the like, and a certain growth stage of vegetable seedlings can be represented by the radiation heat product accumulated in the process. At present, a plurality of ways are still used for measuring the dynamic development process of crops, and the invention provides a light, humidity and temperature coupling model based on the current heat radiation product, wherein the formula expression method is as follows:
f0＝f1×f2
f2＝TEPi+1
TEPi+1＝TEPi+DTEPi+1
Wherein RTE (T) is the relative thermal effect per h; tm is the upper limit temperature (DEG C) of the growth of greenhouse seedlings; tb is the lower limit temperature (DEG C) of greenhouse seedling growth; tob is the lower temperature limit (DEG C) for growth; tom is the upper limit of the optimum humidity for growth (deg.c); t is the average temperature (DEG C) per hour; the highest growth temperature of seedling growth in the daytime greenhouse is 40 ℃, the lowest growth temperature is 10 ℃, the upper limit temperature and the lower limit temperature of the optimal growth temperature are 23 ℃ and 28 ℃, and 13 ℃ and 15 ℃ are respectively used at night. The photosynthetically total effective radiation represented by PAR is within 1 h; HTEP is the cumulative radiant heat product (MJ/(m2.h)) within 1h, DTEP is the cumulative radiant heat product (MJ/(m2.h)) within 1day, TEPi is the cumulative radiant heat product (MJ/(m2.h)) up to the i day, DTEPi +1 is the total daily radiant heat product (MJ/(m2.h)) of the i+1th day, f 0 is the comprehensive environmental factor, f 1 is the humidity effect value, f 2 is the auxiliary heat comprehensive environmental factor, and Hm is the upper limit temperature (RH) for greenhouse seedling growth; hb is the lower limit temperature (RH) of greenhouse seedling growth; hob is the growth optimum lower temperature limit (RH); hom is the upper limit of growth optimum humidity (RH); h is the average temperature (RH); wherein alpha and beta are obtained by fitting big data of specific crop planting conditions.
As shown in fig. 2, the sensing device includes: the device comprises a sensor module, a control module, a Lora communication module and a solar power module; the control module comprises a boosting module and an embedded microprocessor, the solar power module comprises a solar panel, a charge-discharge management module and a rechargeable lithium battery, the sensor module, the Lora communication module and the boosting module are respectively connected with the embedded microprocessor, the sensor module is used for collecting environmental parameter data in a seedling greenhouse, the control module connected with the sensor module is used for receiving the environmental parameter data of the seedling greenhouse and a control command of an edge intelligent gateway, the embedded microprocessor collects the environmental parameter data according to the sensor parameters in a specified mode, the collected data is sent to the Lora communication module through a serial port, the Lora communication module is in a transmission mode, and the serial port data can be automatically forwarded to a connecting channel from a network; the Lora communication module sends environmental parameter data in the seedling raising greenhouse to the edge intelligent gateway in a Lora communication mode, and the solar power module provides electric energy required by collecting the environmental data for the sensing device;
Wherein, the embedded microprocessor can select an arduino nano;
the loRa communication module can select ATK-loRa-02;
The boosting module can be an XTW6009 boosting module;
The charge and discharge management module can select CN3791 MPPT solar cell panel.
As shown in fig. 3, the edge intelligent gateway includes a main control module, a 5G communication module, a Lora module, a growth model storage module, a data storage module, and a power module. The Lora module is used for receiving the environmental parameter data sent by the sensing device; the main control module is used for carrying out environment information coupling and evaluation on environment parameter data, storing the evaluated parameter data in the data storage module, receiving a growth model and a remote control command through the 5G communication module, controlling the regulating device to carry out greenhouse environment regulation according to the growth model under the seedling growth condition information, and storing the growth model in the growth model storage module; the 5G communication module is used for uploading environment parameter data in the seedling greenhouse to the cloud service platform; the power module supplies power for each module of the edge intelligent gateway;
The main control module adopts the following optional scheme: 1. raspberry pi2; 2. raspberry pi3; 3. odroid C +; 4. xilinx XC7Z010-CLG400;
The 5G communication module can be selected from MH5000-31;
The loRa module can be ATK-loRa-02;
the power supply module can select ANASWEENEY precise 12V450mA switching power supply;
the data storage module can be selected from MT41J128M16JT DDR3;
The growth model storage module can select MTFC2GMDEA-OMwT;
as shown in fig. 4, the cloud service platform includes a user management module, a hardware management module, a remote monitoring module, an expert database module, and a data storage module. The user management module is used for recording user data, login information, control parameters and user use permission; the hardware management module is used for registering, binding, activating, adding and deleting the sensing equipment and the adjusting equipment; the remote monitoring module is used for monitoring the real-time state of the equipment and completing wireless control and management of the equipment based on a control instruction of a user; the expert database module is used for storing an optimal growth model of vegetable seedlings.
As shown in fig. 5, the method for evaluating the environment of the vegetable seedling greenhouse based on the internet of things provided in this embodiment includes:
The invention synthesizes a plurality of environmental factors to establish a growth model based on light, humidity and temperature coupling to measure the growth vigor of vegetable seedlings, adopts an expert system driven by the growth model to judge whether the current environmental parameter data is suitable for the growth of the vegetable seedlings, and when the expert system judges that the vegetable seedlings are suitable for the growth, the vegetable seedling greenhouse system continuously collects the environmental parameter data and monitors the greenhouse environment in real time.
As shown in fig. 6, the method for evaluating the environment of the vegetable seedling greenhouse based on the internet of things provided in this embodiment, wherein the control program flow of the edge intelligent gateway is as follows:
s11, the edge intelligent gateway completes initialization, memory allocation management and initialization work of various hardware modules;
s12, searching a sensing device and an adjusting device in a network based on a broadcast protocol, forming a Lora network, and enabling the edge intelligent gateway to monitor environmental information of the vegetable seedling greenhouse in real time;
S13, when the sensing device applies to join the network, the edge intelligent gateway automatically allocates an address for the sensing device and establishes connection according to the IP address of the sensing device to acquire the state of the sensing device
S14, when the mobile control terminal sends the request information, the main controller confirms according to the received request information and forwards the request information to the corresponding functional module, and adds the network address to the data sent by each functional module and then sends the data to the mobile control terminal.
As shown in fig. 7, the method for evaluating the environment of the vegetable seedling greenhouse based on the internet of things provided in this embodiment, wherein the edge intelligent gateway regulation and control flow is as follows:
s22, the edge intelligent gateway starts to work and receives an environment temperature and humidity value, an optical effective radiation value and a carbon dioxide concentration value of the seedling collected by the sensing device;
S23, establishing a light, humidity and temperature coupling model to process, couple and analyze data;
S24, the edge intelligent gateway receives a seedling growth model matched with the edge intelligent gateway from the cloud service platform, and compares and judges the data after coupling analysis with the growth model to obtain a specific regulation and control scheme;
S25, the edge intelligent gateway controls the adjusting device to adjust and control the greenhouse environment according to the adjusting and controlling scheme, and after adjustment and control are completed, the environment parameter data and the growth model are stored in a storage module corresponding to the intelligent gateway.
As shown in fig. 8, the method for evaluating the environment of the vegetable seedling greenhouse based on the internet of things provided in this embodiment includes the following steps:
s31, a user completes all interactive control on the vegetable seedling greenhouse information acquisition device by using the mobile control terminal APP;
S32, after the APP is started, judging whether the APP is in a local network or not, and when the APP is in the local network, directly connecting the APP to an intelligent gateway, and synchronizing configuration files with the intelligent gateway;
S33, UI generation is carried out according to the configuration file information, and finally the user is waited for operation
S34, when the cloud service platform is not in the local network, the cloud service platform is tried to be connected, and a remote control channel is established.
As shown in fig. 9, the method for evaluating the environment of the vegetable seedling greenhouse based on the internet of things provided in this embodiment includes the following control mode flow:
A. Remote control mode:
Step 1, collecting environmental parameter data of a vegetable seedling greenhouse, and sending the environmental parameter data to an edge intelligent gateway;
Step 2, the edge intelligent gateway is used for receiving a remote control command and a growth model issued by the cloud service platform, performing environment information coupling and evaluation on the received environment parameter data, and simultaneously controlling the regulating device to perform environment regulation according to the growth model under the seedling growth condition information;
Step 3, the edge intelligent gateway uploads the environmental parameter data after analysis processing to the cloud service platform based on a 5G communication mode;
Step 4, the cloud service platform is used for receiving and storing environment parameter data from the edge intelligent gateway, so that a user can conveniently inquire information in a later period and continuously optimize a plant growth model through big data;
Step5, the mobile control terminal mainly provides a graphical interaction function for a user, obtains and graphically displays the environmental parameter data and the analysis result data to the user, receives an interaction instruction input by the user, and transmits a remote control command to the cloud service platform according to the interaction instruction;
Step 6, a remote user logs in the mobile control terminal to communicate with the cloud service platform through the Internet, so that remote monitoring of the environment parameter data of the seedling greenhouse is realized;
B. local control mode:
step 1, an edge intelligent gateway communicates with a sensing device and an adjusting device through a Lora wireless communication network;
and 2, the mobile control terminal communicates with the edge intelligent gateway through a local communication network to cooperatively complete information acquisition and environment monitoring of the local network of the vegetable seedling greenhouse.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (7)
1. The vegetable seedling greenhouse environment assessment system based on the Internet of things comprises a cloud service platform and a mobile control terminal, and is characterized by further comprising a sensing device, an adjusting device and an edge intelligent gateway, wherein the sensing device and the adjusting device are installed in a vegetable seedling greenhouse;
The sensing device comprises a sensor module, an embedded microprocessor and a sensing Lora communication module, wherein the sensor module and the sensing Lora communication module are respectively connected with the embedded microprocessor, and the sensor module is used for collecting environmental parameter data in the seedling raising greenhouse; the embedded microprocessor is used for receiving environmental parameter data of the seedling greenhouse and a control command from the edge intelligent gateway; the sensing Lora communication module is used for sending environmental parameter data in the seedling raising greenhouse to the edge intelligent gateway in a Lora communication mode;
The edge intelligent gateway comprises a main control module, a 5G communication module, an edge Lora communication module, a growth model storage module and a data storage module, wherein the main control module is used for carrying out environment information coupling and evaluation on environment parameter data, storing the evaluated parameter data in the data storage module and carrying out greenhouse environment regulation and control through a control and adjustment device, the 5G communication module is used for receiving a remote control command and a growth model issued by a cloud service platform or uploading environment parameter data in a seedling greenhouse to the cloud service platform, and the edge Lora communication module is used for receiving the environment parameter data from a sensing device;
The adjusting device comprises a carbon dioxide generator, an electric sunshade net device and a blower device, wherein the carbon dioxide generator, the electric sunshade net device and the blower device are electrically connected with a main control module of the edge intelligent gateway;
The evaluation method of the vegetable seedling greenhouse environment evaluation system based on the Internet of things comprises the following steps:
Step 1, collecting environmental parameter data of a vegetable seedling greenhouse, and sending the environmental parameter data to an edge intelligent gateway;
Step 2, the edge intelligent gateway is used for receiving a remote control command and a growth model issued by the cloud service platform, performing environment information coupling and evaluation on the received environment parameter data, and controlling the regulating device to perform environment regulation according to the growth model under the seedling growth condition information;
Step 3, the edge intelligent gateway uploads the environmental parameter data after analysis processing to the cloud service platform based on a 5G communication mode;
Step 4, the cloud service platform is used for receiving and storing environment parameter data from the edge intelligent gateway, and is used for inquiring information in the later period of a user and continuously optimizing a plant growth model through big data;
Step5, the mobile control terminal mainly provides a graphical interaction function for a user, obtains and graphically displays the environmental parameter data and the analysis result data to the user, receives an interaction instruction input by the user, and transmits a remote control command to the cloud service platform according to the interaction instruction;
Step 6, a remote user logs in the mobile control terminal to communicate with the cloud service platform through the Internet, so that remote monitoring of the environment parameter data of the seedling greenhouse is realized;
the growth model is a seedling growth model based on light, humidity and temperature coupling, and the algorithm is as follows:
，
Wherein RTE (T) is the relative thermal effect per h; tm is the upper limit temperature (DEG C) of the growth of greenhouse seedlings; tb is the lower limit temperature (DEG C) of greenhouse seedling growth; tob is the lower temperature limit (DEG C) for growth; tom is the upper limit of the optimum humidity for growth (deg.c); t is the average temperature (DEG C) per hour; the highest growth temperature of seedling growth in the daytime greenhouse is 40 ℃, the lowest growth temperature is 10 ℃, the upper limit temperature and the lower limit temperature of the optimal growth temperature are 23 ℃ and 28 ℃, and 13 ℃ and 15 ℃ at night; the photosynthetically total effective radiation represented by PAR is within 1 h; HTEP is the cumulative radiant heat product (MJ/(m2.h)) within 1 hour, DTEP is the cumulative radiant heat product (MJ/(m2.h)) within 1 day, TEPi is the cumulative radiant heat product (MJ/(m2.h)) up to the i day, DTEPi +1 is the total daily radiant heat product (MJ/(m2.h)) of the i+1th day, f 0 is the comprehensive environmental factor, f 1 is the humidity effect value, f 2 is the auxiliary heat comprehensive environmental factor, and Hm is the upper limit temperature (RH) for greenhouse seedling growth; hb is the lower limit temperature (RH) of greenhouse seedling growth; hob is the growth optimum lower temperature limit (RH); hom is the upper limit of growth optimum humidity (RH); h is the average temperature (RH); wherein alpha and beta are obtained by fitting big data of specific crop planting conditions.
2. The vegetable seedling greenhouse environment assessment system based on the internet of things of claim 1, wherein: the sensor module comprises an air temperature and humidity sensor, a photosynthetic effective radiation sensor and a carbon dioxide sensor.
3. The vegetable seedling greenhouse environment assessment system based on the internet of things of claim 1, wherein: the cloud service platform is used for receiving and storing environment parameter data from the edge intelligent gateway.
4. The vegetable seedling greenhouse environment assessment system based on the internet of things of claim 1, wherein: in step 1, an edge intelligent gateway communicates with a sensing device and an adjusting device through a Lora wireless communication network; in step 2, the mobile control terminal communicates with the edge intelligent gateway through a local communication network to cooperatively complete information acquisition and environment monitoring of the local network of the vegetable seedling greenhouse.
5. The vegetable seedling greenhouse environment assessment system based on the internet of things of claim 1, wherein: the heat radiation accumulation is an environment comprehensive index closely related to the processes of crop growth and development speed, dry matter accumulation speed and the like, and a certain growth stage of vegetable seedlings can be represented by the accumulated heat radiation accumulation in the process.
6. The vegetable seedling greenhouse environment assessment system based on the internet of things of claim 1, wherein: the mobile control terminal is one or a combination of a plurality of mobile phones, tablet computers and PCs.
7. The vegetable seedling greenhouse environment assessment system based on the internet of things of claim 1, wherein: the seedling growth model based on light, wet and temperature coupling is applied to the field of the method including but not limited to: planting tomato seedlings and watermelon seedlings.
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