CN114185379B - Intelligent system and control method for planting area Internet of things - Google Patents
Intelligent system and control method for planting area Internet of things Download PDFInfo
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Abstract
The invention discloses an intelligent system and a control method for a planting area Internet of things. The system comprises a processing center, information detection equipment, control equipment and a processing terminal, wherein the information detection equipment, the control equipment and the processing terminal are arranged in a planting area; the input end of the processing terminal is connected with the output end of the information detection device, the output end of the processing terminal is connected with the input end of the processing center, and the output end of the processing center is connected with the control end of the control device. The control method comprises the steps of extracting information characteristics based on current information and historical information output by the information detection equipment, inputting the information characteristics into a decision model, and sending a control command to the control equipment based on a decision result output by the decision model. The air and soil states of the planting area are monitored in real time, improvement and adjustment actions are made without manual participation, and a real unattended planting area is realized. In the control process, information characteristics are extracted based on the current information and the historical information output by the information detection equipment, so that the influence of sudden disturbance on the control precision can be avoided, and the stability and the robustness of control are improved.
Description
Technical Field
The invention relates to the field of agricultural automatic control, in particular to a planting area Internet of things intelligent system and a control method.
Background
The greenhouse regulation and control that possess at present mostly depends on temperature, humidity etc. of manual control the inside, and manual control appears misjudgement, neglected judgement scheduling problem easily, leads to the crop growth to appear in different sizes, and the maturity cycle is also diverse, hardly reaches the crop and grows in unison, and the size is unanimous. And the manual regulation and control can not control the parameters such as the temperature, the humidity, the illumination intensity and the like in the greenhouse in time, and can not achieve the effect of monitoring the growth of crops in real time.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides a planting area Internet of things intelligent system and a control method.
In order to achieve the above object, according to a first aspect of the present invention, the present invention provides a planting area internet of things intelligent system, which comprises a processing center, and an information detection device, a control device and a processing terminal which are arranged in the planting area; the input end of the processing terminal is connected with the output end of the information detection device, the output end of the processing terminal is connected with the input end of the processing center, and the output end of the processing center is connected with the control end of the control device.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: the information detection equipment and the control equipment are interconnected through the processing terminal and the processing center, so that the states of air, soil and the like in a planting area can be monitored in real time, the improvement and adjustment actions are made without manual participation, and the real unattended greenhouse is realized.
In order to achieve the above object, according to a second aspect of the present invention, the present invention provides a control method based on the intelligent system for plant section and internet of things provided by the first aspect of the present invention, extracting information features based on current information and historical information output by the information detection device, inputting the information features into a decision model, and issuing a control command to the control device based on a decision result output by the decision model.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: the information detection equipment and the control equipment are interconnected through the processing terminal and the processing center, so that the states of air, soil and the like in a planting area can be monitored in real time, the improvement and adjustment actions are made without manual participation, and the real unattended greenhouse is realized. In the control process, information characteristics are extracted based on the current information and the historical information output by the information detection equipment, so that the influence of sudden disturbance on the control precision can be avoided, and the stability and the robustness of control are improved.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent system for plant area Internet of things according to an embodiment of the present invention;
fig. 2 is a flow chart illustrating a control method according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and limited, it is to be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.
The invention discloses an intelligent system of a planting area internet of things, which comprises a processing center, information detection equipment, control equipment and a processing terminal, wherein the information detection equipment, the control equipment and the processing terminal are arranged in the planting area; the input end of the processing terminal is connected with the output end of the information detection device, the output end of the processing terminal is connected with the input end of the processing center, and the output end of the processing center is connected with the control end of the control device.
In this embodiment, the planting area is preferably, but not limited to, an open area or a semi-closed space or a closed space, such as a mountain planting area or a greenhouse. Soil culture and/or water culture can be carried out in the planting area.
In the present embodiment, in order to monitor the planting area in a comprehensive manner, unattended management is realized. Preferably, the information detection equipment comprises at least one of an air temperature and humidity detection module, a soil PH detection module and a water culture nutrition detection module.
In this embodiment, correspondingly, for realizing the air temperature and humidity regulation of the planting area, when the information detection device includes the air temperature and humidity detection module, the control device includes the air temperature and humidity regulation device corresponding to the air temperature and humidity detection module. Specifically, the air temperature and humidity detection module comprises at least one air temperature sensor and/or at least one air humidity sensor, and an output end of the air temperature sensor and an output end of the air humidity sensor are respectively connected with an input end of the processing terminal. The air temperature and humidity adjusting device comprises at least one of a fan, a roller shutter and a humidifier, specifically, the air temperature can be adjusted through the fan and the roller shutter, and the air humidity can be adjusted through the humidifier. The specific control process can be that when the air temperature is higher than a preset air temperature upper limit threshold value, the fan and/or the roller shutter are/is opened, and when the air temperature is lower than a preset air temperature lower limit threshold value, the fan and the roller shutter are closed; and when the air humidity is less than the preset air humidity lower limit threshold, the humidifier is started.
In this embodiment, correspondingly, for realizing the soil temperature and humidity control of the planting area, when the information detection device includes the soil temperature and humidity detection module, the control device includes the soil temperature and humidity control device corresponding to the soil temperature and humidity detection module. At this time, the soil temperature and humidity adjusting device can be a watering valve. Generally, when the temperature of the soil is high, the soil humidity is low, and when the temperature of the soil is low, the soil humidity is high. The greenhouse is provided with a plurality of watering pipelines, the watering valves are arranged on the watering pipelines in different areas, when the soil humidity is lower, all or part of the watering valves can be opened for watering, when the soil humidity is higher, all or part of the watering valves can be closed or not opened, and the soil humidity can be reduced through natural evaporation. Specifically, the humidity level can be determined by comparing the soil humidity with a preset soil humidity threshold.
In the embodiment, correspondingly, in order to realize the adjustment of the soil pH value of the planting area, when the information detection device comprises a soil pH detection module, the control device comprises a pH adjustment device corresponding to the soil pH detection module; generally speaking, the problem of soil pH imbalance is solved by fertilizing, in the planting area, a plurality of fertilizing pipelines are arranged, fertilizer is filled in the pipelines, a fertilizer valve can be arranged at the outlet of each fertilizing pipeline to open or close the fertilizing, and the fertilizer is preferably but not limited to compound fertilizer, nitrogenous fertilizer, phosphate fertilizer and potash fertilizer. The PH adjusting device is a fertilizer valve.
In this embodiment, accordingly, in order to realize the adjustment of the nutrient component concentration of the hydroponic liquid in the planting area, when the information detecting apparatus includes the hydroponic nutrient detecting module, the control apparatus includes the nutrient solution adjusting apparatus corresponding to the hydroponic nutrient detecting module. The nutrient solution regulating device comprises a nutrient solution control valve. Specifically, can set up at least one pipeline of carrying the nutrient solution in planting district water planting department, set up nutrient solution control valve in every pipeline exit, can realize the concentration regulation of water planting liquid nutrient composition through opening or closing nutrient solution control valve, realize nutrition fine management.
In this embodiment, preferably, in order to implement remote control and improve the speed of performing analysis and computation, the processing center includes a cloud server and a gateway, and the cloud server is connected to the processing terminal and the control device through the gateway, respectively, with the help of the powerful data processing capability of the cloud.
In the present embodiment, preferably, to implement distributed computing and enhance the computation efficiency, the processing terminal may include a plurality of processing units arranged dispersedly. Specifically, can set up the processing unit of one-to-one respectively for air temperature and humidity detection module, soil PH detection module, water planting nutrition detection module, every processing unit draws the output information that corresponds the module sensor, and export for cloud ware through the gateway after drawing corresponding characteristic, cloud ware adopts artificial intelligence algorithm to obtain every controlgear's control command, every kind of information detection module possess one set of independent algorithm control, get up through the linkage of thing networking between each algorithm, influence each other, form a closed loop's control circuit.
In this embodiment, the processing units are connected with the sensors in the air temperature and humidity detection module, the soil PH detection module and the water culture nutrition detection module in a wired or wireless manner, each processing unit is connected with the gateway in a wired or wireless manner, the gateway is connected with the control device in a wired or wireless manner, and the gateway is connected with the cloud server in a wired or wireless manner. Preferably, the processing unit includes a wireless communication subunit, each sensor in the information detection module also carries the wireless communication subunit, and the gateway, the processing unit, and each sensor in the information detection module form an internet of things network of the stomach wireless connection, which is preferably, but not limited to, a LORA internet of things communication network.
The invention also discloses a control method based on the intelligent system of the planting district Internet of things, and in a preferred embodiment, as shown in fig. 2, the method comprises the following steps:
step S100, extracting information characteristics based on current information and historical information output by the information detection equipment;
and S200, inputting the information characteristics into a decision model, and sending a control command to the control equipment based on a decision result output by the decision model. Preferably, the control command includes, but is not limited to, an on control device instruction or an off control device instruction. Specifically, the method comprises the steps of starting a fan, closing the fan, starting a roller shutter, closing the roller shutter, starting a humidifier, closing the humidifier, starting a fertilizer valve, closing a fertilizer valve, opening a watering valve, closing the watering valve and the like, starting a nutrient solution control valve and closing the nutrient solution control valve.
In the present embodiment, steps S100 and S200 may be performed at a processing center or at a processing terminal. Preferably, in order to improve the calculation efficiency, the corresponding program parts of step S100 and step S200 are executed at the processing terminal, and part is executed at the processing center, specifically: the processing terminal extracts information characteristics based on the current information and the historical information output by the information detection equipment and outputs the information characteristics to the processing center; and the processing center receives the information characteristics, inputs the information characteristics into the decision model, and sends a control command to the control equipment based on a decision result output by the decision model.
In this embodiment, the decision model is preferably, but not limited to, an existing bayesian model, and preferably, to simplify the control logic, the decision result output by the bayesian model is the probability of turning on the corresponding control device. If the probability of turning on the corresponding humidifier is output after the air humidity characteristics are input into the bayesian model, and whether the humidifier needs to be turned on is judged according to the magnitude of the probability value, the process can be referred to by using the control principle of other information characteristics, and details are not repeated herein.
In a preferred embodiment, the air humidity characteristics are extracted based on the current air humidity and the historical air humidity output by the air humidity and temperature detection module, the air humidity characteristics are input into a decision model, and an air temperature adjusting instruction is output to a control end of the air humidity and temperature adjusting device based on a decision result of the decision model; preferably, the air temperature and humidity adjusting apparatus is an air humidifier. The air temperature adjustment command may include turning on the humidifier, turning off the humidifier.
In a preferred embodiment, soil temperature characteristics are extracted based on the current soil temperature and the historical soil temperature output by the soil temperature detection module, the soil temperature characteristics are input into a decision-making model, and a soil temperature adjusting instruction is output to a control end of the soil temperature adjusting device based on a decision-making result of the decision-making model; preferably, the soil temperature regulating device is a watering valve. The soil temperature adjustment instructions may include opening a watering valve, closing the watering valve.
In a preferred embodiment, soil pH characteristics are extracted based on a current soil pH value and a historical soil pH value output by a soil pH detection module, the soil pH characteristics are input into a decision-making model, and a pH adjusting instruction is output to a control end of a pH adjusting device based on a decision-making result of the decision-making model; preferably, the PH adjusting device is a fertilizer valve. The PH regulating instruction can be opening a fertilizer valve and closing the fertilizer valve.
In a preferred embodiment, the EC characteristics are extracted based on the current nutrient concentration value output by the hydroponic nutrient detection module, the EC characteristics are input into the decision model, and a hydroponic EC adjustment instruction is output to the control end of the nutrient solution adjustment equipment based on the decision result of the decision model. The nutrient solution adjusting equipment is a nutrient solution control valve on a nutrient solution supply pipeline, and the EC adjusting instruction can be to open or close the nutrient solution control valve.
In a preferred embodiment, in order to integrate information characteristics of a plurality of sensors, improve robustness of control, avoid false triggering, and avoid interference disturbance influence, the following processing is performed:
when the air temperature and humidity detection module comprises a plurality of air humidity sensors which are distributed in a scattered mode, extracting the air humidity characteristics of each air humidity sensor, inputting each air humidity characteristic into the decision-making model by the processing center to obtain a corresponding decision-making result, fusing the decision-making results corresponding to all the air humidity characteristics by the processing center to obtain an air humidity adjusting instruction, and specifically, the air humidity adjusting instruction comprises an instruction for turning on or off the humidifier. And inputting each air humidity characteristic into the decision model to obtain a probability of starting the humidifier, and fusing the probabilities of starting the humidifier obtained by the air humidity sensors to judge whether the humidifier is started or not. Further preferably, in order to meet the distribution difference situation of the air humidity regions in the planting area, more effective control is provided, the processing center obtains a weighted sum of decision results corresponding to all air humidity characteristics, the weighted sum is recorded as a first numerical value, if the first numerical value is greater than a preset first threshold value, the air temperature and humidity adjusting device is started, and if not, the air temperature and humidity adjusting device (a humidifier is used here) is turned off. The weighted sum P of the decision results for all air humidity characteristics can be found by a As a result of the fusion:
P a ＝P(M a |E 1 )+P(M a |E 2 )+……+P(M a |E m1 )；
wherein, P (M) a |E 1 ) Indicates the probability of the first air humidity sensor corresponding to turning on the humidifier, P (M) a |E 2 ) Indicates the probability of the second air humidity sensor corresponding to turning on the humidifier, P (M) a |E m1 ) The probability of starting the humidifier corresponding to the m 1-th air humidity sensor is shown, and m1 air humidities are obtained in totalAnd (4) degree sensors, wherein each item weight is 1.M is a group of a Indicating a humidifier on event.
When the soil temperature and humidity detection module comprises a plurality of soil temperature sensors which are distributed in a scattered mode, extracting soil temperature characteristics of each soil temperature sensor, inputting each soil temperature characteristic into a decision-making model by a processing center to obtain a corresponding decision-making result, and fusing the decision-making results corresponding to all the soil temperature characteristics by the processing center to obtain a soil temperature adjusting instruction; preferably, the method further comprises the steps of providing more effective control according with the difference situation of soil temperature distribution of the planting area, solving a weighted sum of decision results corresponding to all soil temperature characteristics by the processing center, recording the weighted sum as a second numerical value, starting the watering valve if the second numerical value is larger than a preset second threshold value, and closing the watering valve if the second numerical value is not larger than the preset second threshold value. The weighted sum P of the decision results corresponding to all soil temperature characteristics can be obtained by the following formula b As a result of the fusion:
P b ＝P(M b |E 1 )+P(M b |E 2 )+……+P(M b |E m2 )；
wherein, P (M) b |E 1 ) Indicating the probability of opening the watering valve, P (M), corresponding to the first soil temperature sensor b |E 2 ) Indicates the probability of opening the watering valve, P (M), corresponding to the second soil temperature sensor b |E m2 ) The probability of opening a watering valve corresponding to the m2 th soil temperature sensor is shown, the m2 soil temperature sensors are shared, and each weight is 1.M b Indicating an open watering valve event.
When the soil PH detection module comprises a plurality of PH sensors which are distributed in a scattered mode, the PH characteristics of each PH sensor are extracted, the processing center inputs each PH characteristic into the decision-making model to obtain a corresponding decision-making result, and the processing center fuses the decision-making results corresponding to all the PH characteristics to obtain a PH adjusting instruction. Further preferably, the processing center calculates a weighted sum of the decision results corresponding to all PH characteristics, records the weighted sum as a third value, starts the fertilizer valve if the third value is greater than a preset third threshold, and otherwise closes the fertilizer valve. All can be found by the following formulaWeighted sum of decision results corresponding to PH characteristics, and summing the weighted sum P c As a result of the fusion:
P c ＝P(M c |E 1 )+P(M c |E 2 )+……+P(M c |E m3 )；
wherein, P (M) c |E 1 ) Indicates the probability of opening the fertilizer valve, P (M), corresponding to the first pH sensor c |E 2 ) Indicates the probability of opening the fertilizer valve, P (M), corresponding to the second pH sensor c |E m3 ) The probability of opening a fertilizer valve corresponding to the m3 th PH sensor is shown, the m3 PH sensors are shared, and each weight is 1.M c Indicating an open fertilizer valve event.
When the water culture nutrition detection module comprises a plurality of nutrition concentration sensors which are distributed in a scattered mode, the EC characteristics of each nutrition concentration sensor are extracted, the processing center inputs each EC characteristic into the decision-making model to obtain a corresponding decision-making result, and the processing center fuses the decision-making results corresponding to all EC characteristics to obtain a nutrition component adjusting instruction. Preferably, the nutrient adjustment instructions include instructions to open or close a nutrient control valve. And the processing center calculates the weighted sum of the decision results corresponding to the EC characteristics of all the nutrient concentration sensors, records the weighted sum as a fourth numerical value, starts the nutrient solution control valve if the fourth numerical value is greater than a preset fourth threshold value, and closes the nutrient solution control valve if the fourth numerical value is not greater than the preset fourth threshold value. One nutrient concentration sensor may obtain concentration values for a plurality of nutrient components including, but not limited to, carbon, hydrogen, oxygen, nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, iron, boron, zinc, copper. The weighted sum P of the decision results corresponding to all EC features can be obtained by the following formula d As a result of the fusion:
P d ＝P(M d |E 1 )+P(M d |E 2 )+……+P(M d |E m4 )；
wherein, P (M) d |E 1 ) Indicates the probability of opening the nutrient control valve corresponding to the first nutrient concentration sensor, P (M) d |E 2 ) The probability of opening the nutrient solution control valve corresponding to the second nutrient concentration sensor is shown,P(M d |E m4 ) The probability of opening a nutrient solution control valve corresponding to the m4 th nutrient concentration sensor is shown, the total number of the m4 nutrient concentration sensors is 1.M is a group of d Indicating an open control valve event.
In a preferred embodiment, the air humidity characteristic E of the air humidity sensor is extracted by the following formula:
wherein j represents the index of the collection times, j belongs to [1, n ]](ii) a n represents the historical collection times including the current collection; phi alpha represents the sum of the air humidity information acquired n times; a is a k Represents the air pressure in Pa; l represents the resolution of the air humidity sensor; x represents the detection accuracy value of the air humidity sensor; beta is a beta n Represents a preset correction coefficient and has a value ranging from 0 to 1.
In a preferred embodiment, the soil temperature characteristic of the soil temperature sensor is extracted by the following formula:
wherein G represents the soil heat flux of the soil temperature sensor; g (Z) ref ) Representing soil depth as reference depth Z ref Heat flux when; z represents the depth of insertion of the soil temperature sensor probe into the soil; Δ t represents the time for which the soil temperature sensor detects once; rho s Represents the soil density; c. C s Represents the soil mass heat capacity, and the unit J/(g DEG C); t represents the surface temperature of the soil; epsilon is a preset constant, and the value range is 0.1 to 0.5; t represents the detection start time; i denotes the number of soil layers, Z i Representing the depth value of the i-th layer.
In a preferred embodiment, the PH characteristic of the PH sensor is extracted based on the PH values of the first n times collected by the PH sensor by the following formula:
wherein x is 1 The PH value acquired at the previous 1 st time of the PH sensor is represented, namely the PH value acquired at the present time by the PH sensor; x is a radical of a fluorine atom 2 Denotes the pH value, x, of the 2 nd preceding acquisition of the pH sensor n Indicating the PH value of the previous nth acquisition of the PH sensor.
In a preferred embodiment, the nutrient concentration sensor may detect the concentration of at least one nutrient component, and the EC characteristic of the nutrient concentration sensor is extracted by the formula:
wherein, W represents the demand of the nutrient solution and the unit mg; c θ Expressing the measured percentage concentration value of the theta-th nutrient component; m is a group of θ Represents the molecular weight of the compound containing the theta-th nutrient component; a. The θ Represents the atomic weight of the theta nutritional component; p θ The percentage purity of the theta nutrient component is expressed; q represents the number of types of nutrients.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (12)
1. The intelligent system for the Internet of things of the planting area is characterized by comprising a processing center, information detection equipment, control equipment and a processing terminal, wherein the information detection equipment, the control equipment and the processing terminal are arranged in the planting area;
the input end of the processing terminal is connected with the output end of the information detection equipment, the output end of the processing terminal is connected with the input end of the processing center, and the output end of the processing center is connected with the control end of the control equipment;
the information detection device comprises a soil PH detection module, the soil PH detection module comprises at least one PH sensor, and the output end of the PH sensor is connected with the input end of the processing terminal; the control equipment comprises PH adjusting equipment corresponding to the soil PH detection module;
the control method of the intelligent system for the planting area Internet of things comprises the following steps:
extracting information characteristics based on current information and historical information output by information detection equipment, inputting the information characteristics into a decision model, and sending a control command to control equipment based on a decision result output by the decision model;
extracting soil pH characteristics based on the current soil pH value and the historical soil pH value output by the soil pH detection module, inputting the soil pH characteristics into a decision model, and outputting a pH adjusting instruction to a control end of a pH adjusting device based on a decision result of the decision model;
extracting the PH characteristics of the PH sensor based on the previous PH values acquired by the PH sensor for n times through the following formula:
wherein x is 1 The PH value acquired at the previous 1 st time of the PH sensor is represented, namely the PH value acquired at the present time by the PH sensor; x is the number of 2 Denotes the pH, x, of the 2 nd acquisition before the pH sensor n Indicating the PH value of the previous nth acquisition of the PH sensor.
2. The intelligent system of claim 1, wherein the information detection equipment comprises at least one of an air temperature and humidity detection module, a soil temperature and humidity detection module, and a hydroponic nutrition detection module;
when the information detection device comprises an air temperature and humidity detection module, the control device comprises an air temperature and humidity adjusting device corresponding to the air temperature and humidity detection module;
when the information detection device comprises a soil temperature and humidity detection module, the control device comprises a soil temperature and humidity adjusting device corresponding to the soil temperature and humidity detection module;
when the information detection device includes a hydroponic nutrition detection module, the control device includes a nutrient solution adjustment device corresponding to the hydroponic nutrition detection module.
3. The intelligent system of claim 2, wherein the air temperature and humidity detection module comprises at least one air temperature sensor and/or at least one air humidity sensor, and an output end of the air temperature sensor and an output end of the air humidity sensor are respectively connected with an input end of the processing terminal;
and/or the soil temperature and humidity detection module comprises at least one soil temperature sensor and/or at least one soil humidity sensor, and the output end of the soil temperature sensor and the output end of the soil humidity sensor are respectively connected with the input end of the processing terminal;
and/or the water culture nutrition detection module comprises at least one nutrition concentration sensor, and the output end of the nutrition concentration sensor is connected with the input end of the processing terminal.
4. The intelligent system of claim 2 or 3, wherein the air temperature and humidity regulating device comprises at least one of a fan, a roller shutter and a humidifier;
and/or the soil temperature and humidity regulating equipment comprises a watering valve;
and/or the PH adjusting device comprises a fertilizer valve;
and/or the nutrient solution conditioning device comprises a nutrient solution control valve.
5. The intelligent system of claim 1, 2 or 3, wherein the processing center comprises a cloud server and a gateway, and the cloud server is connected with the processing terminal and the control device through the gateway respectively.
6. The intelligent system of claim 4, wherein the processing center comprises a cloud server and a gateway, and the cloud server is connected with the processing terminal and the control device through the gateway respectively.
7. The intelligent system of claim 1, 2, 3 or 6, wherein the control method further comprises:
extracting air humidity characteristics based on the current air humidity and the historical air humidity output by the air temperature and humidity detection module, inputting the air humidity characteristics into a decision model, and outputting an air temperature adjusting instruction to a control end of the air temperature and humidity adjusting equipment based on a decision result of the decision model;
and/or extracting soil temperature characteristics based on the current soil temperature and the historical soil temperature output by the soil temperature detection module, inputting the soil temperature characteristics into a decision model, and outputting a soil temperature adjusting instruction to a control end of soil temperature adjusting equipment based on a decision result of the decision model;
and/or extracting EC characteristics based on the current nutrient component concentration value output by the water culture nutrient detection module, inputting the EC characteristics into a decision model, and outputting a water culture EC regulating instruction to a control end of nutrient solution regulating equipment based on a decision result of the decision model.
8. The intelligent system of the plantation district internet of things as claimed in claim 7, wherein when the air humidity detection module comprises a plurality of air humidity sensors which are dispersedly arranged, the air humidity characteristics of each air humidity sensor are extracted, the processing center inputs each air humidity characteristic into the decision model to obtain a corresponding decision result, and the processing center fuses the decision results corresponding to all the air humidity characteristics to obtain an air humidity adjusting instruction;
and/or when the soil temperature and humidity detection module comprises a plurality of soil temperature sensors which are distributed dispersedly, extracting soil temperature characteristics of each soil temperature sensor, inputting each soil temperature characteristic into the decision-making model by the processing center to obtain a corresponding decision-making result, and fusing the decision-making results corresponding to all the soil temperature characteristics by the processing center to obtain a soil temperature regulation instruction;
and/or when the soil PH detection module comprises a plurality of PH sensors which are distributed dispersedly, extracting the PH characteristic of each PH sensor, inputting each PH characteristic into the decision model by the processing center to obtain a corresponding decision result, and fusing the decision results corresponding to all the PH characteristics by the processing center to obtain a PH regulation instruction;
and/or when the water culture nutrition detection module comprises a plurality of nutrition concentration sensors which are distributed in a scattered manner, extracting the EC characteristics of each nutrition concentration sensor, inputting each EC characteristic into the decision model by the processing center to obtain a corresponding decision result, and fusing the decision results corresponding to all the EC characteristics by the processing center to obtain a PH regulation instruction.
9. The intelligent system of the internet of things for planting areas of claim 8, wherein the processing center calculates a weighted sum of decision results corresponding to all air humidity characteristics, records the weighted sum as a first numerical value, starts the humidifier if the first numerical value is greater than a preset first threshold, and otherwise, closes the humidifier;
the processing center calculates a weighted sum of decision results corresponding to all soil temperature characteristics, the weighted sum is recorded as a second numerical value, if the second numerical value is larger than a preset second threshold value, a watering valve is started, and otherwise, the watering valve is closed;
the processing center obtains a weighted sum of decision results corresponding to all PH characteristics, the weighted sum is recorded as a third numerical value, if the third numerical value is larger than a preset third threshold value, a fertilizer valve is started, and otherwise, the fertilizer valve is closed;
and the processing center calculates the weighted sum of the decision results corresponding to all the concentration characteristics, records the weighted sum as a fourth numerical value, starts the nutrient solution control valve if the fourth numerical value is greater than a preset fourth threshold value, and closes the nutrient solution control valve if the fourth numerical value is not greater than the preset fourth threshold value.
10. The intelligent system of claim 8 or 9, wherein the air humidity characteristic E of the air humidity sensor is extracted by the following formula:
wherein j represents the index of the collection times, j belongs to [1, n ]](ii) a n represents the collection times of the current collection history;
representing the sum of the air humidity information acquired n times; a is a k Represents the air pressure; l represents the resolution of the air humidity sensor; x represents the detection accuracy value of the air humidity sensor; beta is a beta n Indicating a preset correction coefficient.
11. The intelligent system of claim 8 or 9, wherein the soil temperature characteristic of the soil temperature sensor is extracted by the following formula:
wherein G represents the soil heat flux of the soil temperature sensor; g (Z) ref ) Indicating soil depth as reference depth Z ref Heat flux when; z represents the depth of insertion of the soil temperature sensor probe into the soil; Δ t represents the time for which the soil temperature sensor detects once; ρ is a unit of a gradient s Represents the soil density; c. C s Represents the soil mass heat capacity; t represents the surface temperature of the soil; epsilon is a preset constant, and the value range is 0.1 to 0.5; t is t 0 Represents the detection start time; i denotes the number of soil layers, Z i Representing the depth value of the i-th layer.
12. The intelligent system of claim 8 or 9, wherein the nutrient concentration sensor is capable of detecting the concentration of at least one nutrient component, and the EC characteristic of the nutrient concentration sensor is extracted by the following formula:
wherein W represents the required amount of the nutrient solution; c θ Expressing the concentration value of the theta-th nutrient component; m θ Represents the molecular weight of the theta nutrient component; a. The θ Represents the atomic weight of the theta nutritional component; p is θ Indicating the purity of the theta nutrient compound; q represents the number of types of nutrients.
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