CN116225114A - Intelligent environmental control system and method for crop growth controllable agricultural greenhouse based on big data - Google Patents
Intelligent environmental control system and method for crop growth controllable agricultural greenhouse based on big data Download PDFInfo
- Publication number
- CN116225114A CN116225114A CN202310175964.9A CN202310175964A CN116225114A CN 116225114 A CN116225114 A CN 116225114A CN 202310175964 A CN202310175964 A CN 202310175964A CN 116225114 A CN116225114 A CN 116225114A
- Authority
- CN
- China
- Prior art keywords
- greenhouse
- data
- sensors
- control
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Greenhouses (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent environmental control system and method for a crop growth controllable agricultural greenhouse based on big data, and belongs to the technical field of intelligent environmental control of greenhouses. The invention relates to an intelligent environmental control system for a crop growth controllable agricultural greenhouse based on big data, which comprises a control module, an acquisition module, a display module, a monitoring management module and a central control room; the output end of the control module is electrically connected with the input end of the acquisition module; the output end of the acquisition module is electrically connected with the output end of the monitoring management module; the input end of the monitoring management module is electrically connected with the input end of the display module; the output end of the central control room is electrically connected with the input end of the display module; according to the invention, the environment regulation and control system is regulated and arranged according to the crop growth, and the position planning is carried out on crops according to the arrangement of the environment regulation and control system and the crop growth, so that the monitoring and regulation of the greenhouse environment are more humanized and convenient.
Description
Technical Field
The invention relates to the technical field of intelligent environmental control of greenhouses, in particular to an intelligent environmental control system and method for an agricultural greenhouse with controllable crop growth based on big data.
Background
The greenhouse adopts the principle of heat absorption and heat preservation, and the environment in the greenhouse is regulated and controlled through a light-transmitting material and automatic regulating and controlling equipment to form local microclimate, so that an environment favorable for growth is created for crops, the yield of the crops is increased, the growth speed of the crops is accelerated, and the maximum quantification of crop products is ensured; the greenhouse comprises a plurality of sensors such as a temperature sensor, a humidity sensor, an illumination intensity sensor and the like, and the indoor environment of the greenhouse is monitored and regulated through different sensors.
However, most of the current greenhouses use wireless sensors, but the transmission speed of the wireless sensors is slower than that of wired sensors, and the wireless sensors are influenced in the data transmission process; due to the operation problem, various wireless sensors cannot be accepted for rural construction, the detection range of the wireless sensors is smaller than that of the wired sensors, the number of the wireless sensors is increased along with the increase of the greenhouse area, the waste of resources is caused, and meanwhile, the economic pressure is also caused; therefore, the wired sensor is more acceptable in Ningcun; however, because the wired sensor has more lines, the manual layout is easy to cause the complexity and the inefficacy of the lines, and certain influence is caused on the environmental monitoring.
Disclosure of Invention
The invention aims to provide an intelligent environmental control system and method for crop growth controllable agricultural greenhouses based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data comprises a central control room and a display module; the central control room comprises a ring control system functional layer and a data analysis management layer; the environmental control system functional layer comprises a control module and an acquisition module; the data analysis management layer comprises a monitoring management module;
the control module is used for arranging sensors, monitoring and controlling the temperature, the humidity and the illumination in the greenhouse according to different function sensors, forming a greenhouse monitoring system and controlling according to instructions; the acquisition module is used for acquiring data of the sensor of the control module to obtain real-time environment state data; the monitoring management module is used for setting crop growth environment data of different areas of the greenhouse, comparing the greenhouse monitoring system with the collected environment state data, and outputting a control instruction for regulation and control management; the display module is used for presenting the processed environmental state data by using greenhouse display equipment and a mobile phone software platform; the central control room is used for manually regulating and controlling various environmental states of the greenhouse;
the output end of the control module is electrically connected with the input end of the acquisition module; the output end of the acquisition module is electrically connected with the output end of the monitoring management module; the input end of the monitoring management module is electrically connected with the input end of the display module; the output end of the central control room is electrically connected with the input end of the display module.
According to the technical scheme, the control module comprises a sensor control unit, an automatic monitoring unit and an automatic regulation and control unit;
the sensor control unit is used for arranging greenhouse sensors, the greenhouse sensors are a plurality of wired sensors, and the sensor arrangement process in the greenhouse is as follows:
s2-1, calculating the number to be installed according to the detection ranges of different sensors, wherein the calculation formula of the number of the different sensors is as follows:
wherein n is i The number of the sensors required to be installed for different sensors in the greenhouse space is n i The remainder is rounded off; l (L) 0 The planting area of the greenhouse; m is M i The detection range of the sensor is different;
different sensors have different detection ranges, for example, the temperature sensor needs to be detected at equal intervals in the greenhouse space, and the humidity sensor needs to be placed not only in the greenhouse space for detection, but also deep in soil for achieving crop cultivationHumidity detection of the cultivated soil, while sensors deep in the soil cannot be calculated, so phosphorus is set to n 0 To fix the number of the sensors, n is as follows 0 Soil humidity sensors with fixed number and fixed positions are placed at the position 5cm and 10cm away from the ground;
s2-2, equally dividing the greenhouse area according to the installation number of different sensors, and virtually installing the sensors in the central positions of different dividing areas; establishing a 3D (three-dimensional) grid, and planning a circuit aiming at the position of a virtually installed sensor, wherein the method comprises the following specific steps: erecting transverse and longitudinal supports in a greenhouse into transverse and longitudinal lines of grids, and establishing 3D (three-dimensional) grids; taking intersection points of transverse symmetry axes and longitudinal symmetry axes of the greenhouse as grid origin points, and setting coordinate points of sensors as (x) i ，y i ，h i ) Taking a sensor interface as an end point, dividing the sensor interface into a plurality of sensor interfaces according to different functions, and setting coordinates as (a) i ，b i ，l i ) The method comprises the steps of carrying out a first treatment on the surface of the Inputting a starting point and an ending point, forming a plurality of lines between the starting point of the sensor and the ending point of a sensor interface by using a Depth-First Search, setting intersection points of transverse lines and longitudinal lines as nodes, and forming line arrangement of the sensor by representing actual distances by weights of edges among different nodes;
the virtual installation and selection of the positions of the functions of the different sensors are based on the idea of installing the sensors in a conventional greenhouse, for example, the temperature sensors are placed at equal intervals in the greenhouse and are required to be hung above plants and are about 20cm away from growing points, so that the temperature sensors are ensured to be positioned in the middle or upper part of the plants in the growing process of the plants, and the temperature sensors move along with the growth of the plants; the humidity sensor needs to be placed at the deep layer of plant soil of 5Cm and 10Cm for measurement besides being placed above the ground.
The automatic monitoring unit comprises an automatic temperature measuring unit, an outdoor sunshade monitoring unit and a humidity monitoring unit; the system is used for monitoring the temperature, illumination and irrigation conditions in the greenhouse in real time;
the automatic regulation and control unit is used for automatically regulating and controlling various data of the greenhouse environment according to the instruction.
According to the above technical solution, in step S2-2, the specific process for virtually installing the sensor position is:
the number n of the sensors to be installed i Taking the number of the installed sensors as n if the remainder is one bit i +1, dividing the greenhouse area into n i +1 equal area areas, and installing sensors at the center point of each area; the number n of the sensors to be installed i Taking the number of the installed sensors as n after the remainder is removed i And the rest area is taken from the center of the greenhouse and is set as a sensor-free area, and the rest area of the greenhouse is divided into n i The sensor is arranged at the center point of each area;
the fact that the residue area is taken at the center of the greenhouse is set as a sensor-free area mainly because monitoring treatment is needed to be carried out on the residue area, after the residue area is taken at the center of the greenhouse, the environmental condition of the center position can be reasonably deduced through the environmental data conditions collected by the sensors at the rest, namely, the cost pressure is prevented from being increased by adding redundant sensors for comprehensive detection, and crop yield attenuation caused by the condition that the environmental condition of the position cannot be known is also reduced;
further, in step S2-2, a plurality of routes formed by planning are selectively evaluated, a single standard evaluation system is established for the N evaluation targets and the M evaluation indexes, and the evaluation index of the i-th evaluation target is recorded as v= [ v ] 1 ，v 2 ，…，v M ]I=1, 2, …, N; the evaluation object observations are respectively: v ij J is an evaluation index; preprocessing the index value:
wherein mu j Is the sample mean value; s is(s) j Is the standard deviation of the sample;
order the
Wherein b ij For the index value after pretreatment; let index weight coefficient vector be ω= [ ω ] 1 ，ω 2 ，…，ω m ]The method comprises the steps of carrying out a first treatment on the surface of the The weighted comprehensive evaluation function f of the construction line i ：
Wherein f i A weighted comprehensive evaluation value for the i-th evaluation object; the evaluation index comprises line length, node number, line trend height and line bending times; finally according to f i The N evaluation objects are sorted or classified according to the size of the evaluation object to obtain a final result; f when the same evaluation object i The larger the line, the greater the line's feasibility is demonstrated;
the bending times of the circuit refer to the number of bending turns of the circuit at the node in the process of layout, wherein the bending points are easy to be lost, so that the data transmission of the circuit is blocked, and the bending is required to be reduced as much as possible in the process of layout; the line trend height is judged according to the height of the sensor and the height of the sensor interface by referring to normal distribution, and the distance between the sensor and the ground is set as h 1 The method comprises the steps of carrying out a first treatment on the surface of the The distance between the sensor interface and the ground is l 1 The method comprises the steps of carrying out a first treatment on the surface of the In h 1 And l 1 Calculating the interval probability that a line may fall into for the boundary value reference normal distribution; the assessment of the line trend also reflects the length of the line, and the line length also affects the cost expenditure.
According to the technical scheme, the acquisition module comprises a data acquisition unit and a data transmission unit;
the data acquisition unit is used for virtually acquiring the data of the control module sensor, acquiring the data once every fixed period T to obtain virtual real-time environment state data, and storing the data into the database for storage;
the data transmission unit is used for carrying out virtual uploading on the obtained data, and the uploading mode opens up a direct data exchange path between the peripheral equipment and the memory for carrying out data transmission.
According to the technical scheme, the monitoring management module comprises a data comparison unit using a comparison algorithm based on a Burrows Wheeler transforma index data structure and a regulation and control management unit using feedback control for ring control;
the data comparison unit is used for virtually setting crop growth environment data of different areas of the greenhouse, virtually comparing the greenhouse monitoring system and the collected environment state data by using a comparison algorithm based on a Burrows Wheeler transforma index data structure, wherein the comparison algorithm based on the Burrows Wheeler transforma index data structure realizes comparison positioning with low memory occupation and high-speed searching by referring to a special index structure of a genome sequence through Burrows Wheeler transform, and outputs a control instruction when a comparison difference value exceeds the set greenhouse crop growth environment data;
the regulation and control management unit is used for carrying out regulation and control management aiming at the virtual control instruction, the virtual regulation and control management comprises two types of virtual regulation and control management respectively: feedback control is carried out on the greenhouse environment according to the comparison data; and setting data according to the greenhouse display equipment or the mobile phone software platform manually, and automatically regulating and controlling the greenhouse environment according to the set data.
An intelligent environmental control method for crop growth controllable agricultural greenhouses based on big data is characterized by comprising the following steps: the method comprises the following steps:
step S100: the sensors are distributed in a ring control way, and the temperature, the humidity and the illumination in the greenhouse are monitored and controlled according to the sensors with different functions to form a greenhouse monitoring system; collecting data of a control module sensor to obtain real-time environment state data;
step S200: setting crop growth environment data of different areas of the greenhouse, and managing a greenhouse monitoring system and collected environment state data;
step S300: comparing the obtained real-time environment state data with the set growth environment data by using a comparison algorithm based on a Burrows Wheeler transforma index data structure, and presenting the environment state data after comparison processing by using greenhouse display equipment and a mobile phone software platform;
step S400: according to the greenhouse display equipment or the mobile phone software platform, the greenhouse can be automatically adjusted by presenting the data, and the greenhouse environment data can be manually adjusted.
According to the above technical solution, in step S200, the crop growth environment data of different areas of the greenhouse is set, and the setting of the crop growth environment data is set according to different requirements of the crops on the environment in each growth stage, and as the crops planted in the same greenhouse are different in variety and the requirements of the crops in different growth stages on the environment change greatly, similar requirement area planning planting is performed on the crops in the greenhouse; the step of planning and planting in the similar demand areas is to compare the crop growth environment data virtually collected by the sensors, select crops with similar environment data and similar growth demands for dividing and planting, for example, different fertilizer types required by different crops, and place the crops with the same fertilizer type required by growth in adjacent areas so as to reduce the burden on manpower and increase the planting efficiency; and crops with similar growth environment data are placed in similar areas for planting, and verification of the environmental control system can be performed through the collected data.
According to the technical scheme, the root in step S300 compares the obtained real-time environmental status data with the set growth environment data, and the comparison result is fed back to the control module to realize automatic adjustment of the greenhouse environment and send the data to the mobile phone software platform and the greenhouse display device at the same time, so that the greenhouse environment can be regulated and controlled manually.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the wired sensor is virtually installed through the greenhouse environmental control, the wires are distributed according to the installation position of the wired sensor, the bending times of the wires, the trend height of the wires and the like, and the trend of different wires in the greenhouse is reasonably planned, so that the installation of the sensor can realize the monitoring of the greenhouse environment, and the cost is greatly saved; and the position of the crops in the greenhouse is reasonably planned according to the arrangement of the environmental control sensors and the requirements of the crops on the environment in each growth stage, when the greenhouse has a problem, the greenhouse problem can be quickly regulated and controlled, the regulating and controlling speed of the greenhouse is accelerated, the input cost of farmers in greenhouse agriculture is reduced to a certain extent, and the environment control is more humanized and convenient.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a system for intelligent environmental control of a crop growth controllable agricultural greenhouse based on big data.
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.
Referring to fig. 1, the present invention provides the following technical solutions: the intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data comprises a central control room and a display module; the central control room comprises a ring control system functional layer and a data analysis management layer; the environmental control system functional layer comprises a control module and an acquisition module; the data analysis management layer comprises a monitoring management module;
the control module is used for arranging sensors, monitoring and controlling the temperature, the humidity and the illumination in the greenhouse according to different function sensors, forming a greenhouse monitoring system and controlling according to instructions; the acquisition module is used for acquiring data of the sensor of the control module to obtain real-time environment state data; the monitoring management module is used for setting crop growth environment data of different areas of the greenhouse, comparing the greenhouse monitoring system with the collected environment state data, and outputting a control instruction for regulation and control management; the display module is used for presenting the processed environmental state data by using greenhouse display equipment and a mobile phone software platform; the central control room is used for manually regulating and controlling various environmental states of the greenhouse;
the output end of the control module is electrically connected with the input end of the acquisition module; the output end of the acquisition module is electrically connected with the output end of the monitoring management module; the input end of the monitoring management module is electrically connected with the input end of the display module; the output end of the central control room is electrically connected with the input end of the display module.
According to the technical scheme, the control module comprises a sensor control unit, an automatic monitoring unit and an automatic regulation and control unit;
the sensor control unit is used for arranging greenhouse sensors, the greenhouse sensors are a plurality of wired sensors, and the sensor arrangement process in the greenhouse is as follows:
s2-1, calculating the number to be installed according to the detection ranges of different sensors, wherein the calculation formula of the number of the different sensors is as follows:
wherein n is i The number of the sensors required to be installed for different sensors in the greenhouse space is n i The remainder is rounded off; l (L) 0 The planting area of the greenhouse; m is M i The detection range of the sensor is different;
different sensors have different detection ranges, for example, the temperature sensor needs to be detected at equal intervals in the greenhouse space, the humidity sensor needs to be placed in the greenhouse space for detection and also needs to be placed in the deep soil for realizing the humidity detection of the crop cultivation soil, and the sensor in the deep soil cannot be obtained in calculation, so that n is set 0 To fix the number of the sensors, n is as follows 0 Fixed amount for soil 5cm and 10cm from the groundA soil humidity sensor at a location;
s2-2, equally dividing the greenhouse area according to the installation number of different sensors, and virtually installing the sensors in the central positions of different dividing areas; establishing a 3D (three-dimensional) grid, and planning a circuit aiming at the position of a virtually installed sensor, wherein the method comprises the following specific steps: erecting transverse and longitudinal supports in a greenhouse into transverse and longitudinal lines of grids, and establishing 3D (three-dimensional) grids; taking intersection points of transverse symmetry axes and longitudinal symmetry axes of the greenhouse as grid origin points, and setting coordinate points of sensors as (x) i ，y i ，h i ) Taking a sensor interface as an end point, dividing the sensor interface into a plurality of sensor interfaces according to different functions, and setting coordinates as (a) i ，b i ，l i ) The method comprises the steps of carrying out a first treatment on the surface of the Inputting a starting point and an ending point, forming a plurality of lines between the starting point of the sensor and the ending point of a sensor interface by using a Depth-First Search, setting intersection points of transverse lines and longitudinal lines as nodes, and forming line arrangement of the sensor by representing actual distances by weights of edges among different nodes;
the virtual installation and selection of the positions of the functions of the different sensors are based on the idea of installing the sensors in a conventional greenhouse, for example, the temperature sensors are placed at equal intervals in the greenhouse and are required to be hung above plants and are about 20cm away from growing points, so that the temperature sensors are ensured to be positioned in the middle or upper part of the plants in the growing process of the plants, and the temperature sensors move along with the growth of the plants; the humidity sensor needs to be placed at the deep layer of plant soil of 5Cm and 10Cm for measurement besides being placed above the ground.
The automatic monitoring unit comprises an automatic temperature measuring unit, an outdoor sunshade monitoring unit and a humidity monitoring unit; the system is used for monitoring the temperature, illumination and irrigation conditions in the greenhouse in real time;
the automatic regulation and control unit is used for automatically regulating and controlling various data of the greenhouse environment according to the instruction.
According to the above technical solution, in step S2-2, the specific process for virtually installing the sensor position is:
the number n of the sensors to be installed i Taking the number of the installed sensors as n if the remainder is one bit i +1, and dividing the greenhouseArea n i +1 equal area areas, and installing sensors at the center point of each area; the number n of the sensors to be installed i Taking the number of the installed sensors as n after the remainder is removed i And the rest area is taken from the center of the greenhouse and is set as a sensor-free area, and the rest area of the greenhouse is divided into n i The sensor is arranged at the center point of each area;
the reason that the area of the remainder taken at the center of the greenhouse is set as a sensor-free area is that the rest area is divided around a center point, and the environmental condition of the center position can be reasonably deduced according to the environmental data condition collected by the sensors of the rest area, namely, the cost and pressure increase caused by adding redundant sensors for comprehensive detection are avoided, and the crop yield attenuation caused by the condition that the environmental condition of the position cannot be known is also reduced;
5. further, in step S2-2, a plurality of routes formed by planning are selectively evaluated, a single standard evaluation system is established for the N evaluation targets and the M evaluation indexes, and the evaluation index of the i-th evaluation target is recorded as v= [ v ] 1 ，v 2 ，…，v M ]I=1, 2, …, N; the evaluation object observations are respectively: v ij J is an evaluation index; preprocessing the index value:
wherein mu j Is the sample mean value; s is(s) j Is the standard deviation of the sample;
order the
Wherein b ij For the index value after pretreatment; setting index weightThe coefficient vector is ω= [ ω ] 1 ，ω 2 ，…，ω m ]The method comprises the steps of carrying out a first treatment on the surface of the The weighted comprehensive evaluation function f of the construction line i ：
Wherein f i A weighted comprehensive evaluation value for the i-th evaluation object; the evaluation index comprises line length, node number, line trend height and line bending times; finally according to f i The N evaluation objects are sorted or classified according to the size of the evaluation object to obtain a final result; f when the same evaluation object i The larger the line, the greater the line's feasibility is demonstrated;
the bending times of the circuit refer to the number of bending turns of the circuit at the node in the process of layout, wherein the bending points are easy to be lost, so that the data transmission of the circuit is blocked, and the bending is required to be reduced as much as possible in the process of layout; the line trend height is judged according to the height of the sensor and the height of the sensor interface by referring to normal distribution, and the distance between the sensor and the ground is set as h 1 The method comprises the steps of carrying out a first treatment on the surface of the The distance between the sensor interface and the ground is l 1 The method comprises the steps of carrying out a first treatment on the surface of the In h 1 And l 1 Calculating the interval probability that a line may fall into for the boundary value reference normal distribution; the assessment of the line trend also reflects the length of the line, and the line length also affects the cost expenditure.
According to the technical scheme, the acquisition module comprises a data acquisition unit and a data transmission unit;
the data acquisition unit is used for virtually acquiring the data of the control module sensor, acquiring the data once every fixed period T to obtain virtual real-time environment state data, and storing the data into the database for storage;
the data transmission unit is used for carrying out virtual uploading on the obtained data, and the uploading mode opens up a direct data exchange path between the peripheral equipment and the memory for carrying out data transmission.
According to the technical scheme, the monitoring management module comprises a data comparison unit using a comparison algorithm based on a Burrows Wheeler transforma index data structure and a regulation and control management unit using feedback control for ring control;
the data comparison unit is used for virtually setting crop growth environment data of different areas of the greenhouse, virtually comparing the greenhouse monitoring system and the collected environment state data by using a comparison algorithm based on a Burrows Wheeler transforma index data structure, wherein the comparison algorithm based on the Burrows Wheeler transforma index data structure realizes comparison positioning with low memory occupation and high-speed searching by referring to a special index structure of a genome sequence through Burrows Wheeler transform, and outputs a control instruction when a comparison difference value exceeds the set greenhouse crop growth environment data;
the regulation and control management unit is used for carrying out regulation and control management aiming at the virtual control instruction, the virtual regulation and control management comprises two types of virtual regulation and control management respectively: feedback control is carried out on the greenhouse environment according to the comparison data; and setting data according to the greenhouse display equipment or the mobile phone software platform manually, and automatically regulating and controlling the greenhouse environment according to the set data.
An intelligent environmental control method for crop growth controllable agricultural greenhouses based on big data is characterized by comprising the following steps: the method comprises the following steps:
step S100: the sensors are distributed in a ring control way, and the temperature, the humidity and the illumination in the greenhouse are monitored and controlled according to the sensors with different functions to form a greenhouse monitoring system; collecting data of a control module sensor to obtain real-time environment state data;
step S200: setting crop growth environment data of different areas of the greenhouse, and managing a greenhouse monitoring system and collected environment state data;
step S300: comparing the obtained real-time environment state data with the set growth environment data by using a comparison algorithm based on a Burrows Wheeler transforma index data structure, and presenting the environment state data after comparison processing by using greenhouse display equipment and a mobile phone software platform;
step S400: according to the greenhouse display equipment or the mobile phone software platform, the greenhouse can be automatically adjusted by presenting the data, and the greenhouse environment data can be manually adjusted.
According to the above technical solution, in step S200, the crop growth environment data of different areas of the greenhouse is set, and the setting of the crop growth environment data is set according to different requirements of the crops on the environment in each growth stage, and as the crops planted in the same greenhouse are different in variety and the requirements of the crops in different growth stages on the environment change greatly, similar requirement area planning planting is performed on the crops in the greenhouse; the step of planning and planting in the similar demand areas is to compare the crop growth environment data virtually collected by the sensors, select crops with similar environment data and similar growth demands for dividing and planting, for example, different fertilizer types required by different crops, and place the crops with the same fertilizer type required by growth in adjacent areas so as to reduce the burden on manpower and increase the planting efficiency; and crops with similar growth environment data are placed in similar areas for planting, and verification of the environmental control system can be performed through the collected data.
According to the technical scheme, the root in step S300 compares the obtained real-time environmental status data with the set growth environment data, and the comparison result is fed back to the control module to realize automatic adjustment of the greenhouse environment and send the data to the mobile phone software platform and the greenhouse display device at the same time, so that the greenhouse environment can be regulated and controlled manually.
Examples: area L of greenhouse 0 =long×wide=10×30=300 m 2 The method comprises the steps of carrying out a first treatment on the surface of the Set the detection range of the temperature sensor to 60m 2 The method comprises the steps of carrying out a first treatment on the surface of the The detection range of the humidity sensor is 45m 2 The method comprises the steps of carrying out a first treatment on the surface of the Let the detection range of the illumination sensor be 60m 2 The method comprises the steps of carrying out a first treatment on the surface of the Let n be the number of other fixed sensors 0 =4; according to
Calculating the number=5 of temperature sensors required in the greenhouse, namely equally dividing the greenhouse area into 5 when the temperature sensors are installed, and installing the sensors at the central position; in addition, the soil is 5cm and 10cm deep in the greenhouse soil2 soil humidity sensors are installed at equal intervals; the number of the humidity sensors required in the greenhouse=6.6, namely 7, namely when the humidity sensors are installed, the area of the greenhouse is equally divided into 7, and the sensors are installed at the central position; the number of illumination sensors required in the greenhouse=5; calculating coordinate points of a sensor and coordinate points of a sensor interface, wherein the sensor interface is divided into 3 according to different functions, and substituting the 3 coordinate points into a Depth-First Search to form a plurality of lines between a sensor starting point and a sensor interface end point; let the distance between the sensor and the ground be h 1 =3m; the distance between the sensor interface and the ground is h 2 =3.5m; calculating the line trend height probability according to the normal distribution; recording the evaluation index of the evaluation object as v= [ number of nodes, line length, number of bending corners and line trend height]The observed values of 3 lines of a certain sensor are respectively as follows: the number of nodes= {5,6,5}, the line length= {20m,23m,19m }, the number of bending corners= {3, 4}, the line trend height= {1.25,1.23,1.3}; substituting index value into
Calculating the mean value and variance of the sample, and substituting the obtained data into the data
Preprocessing, and setting index weight coefficient vector omega= [0.1,0.3,0.4,0.2 ]]Substituting the weighted comprehensive evaluation function of the line: />
F when the same evaluation object i The larger the line, the greater the feasibility of the line is demonstrated.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The intelligent environmental control system for the crop growth controllable agricultural greenhouse based on the big data is characterized by comprising a central control room and a display module; the central control room comprises a ring control system functional layer and a data analysis management layer; the environmental control system functional layer comprises a control module and an acquisition module; the data analysis management layer comprises a monitoring management module;
the control module is used for arranging sensors, monitoring and controlling the temperature, the humidity and the illumination in the greenhouse according to different function sensors, forming a greenhouse monitoring system and controlling according to instructions; the acquisition module is used for acquiring data of the sensor of the control module to obtain real-time environment state data; the monitoring management module is used for setting crop growth environment data of different areas of the greenhouse, comparing the greenhouse monitoring system with the collected environment state data, and outputting a control instruction for regulation and control management; the display module is used for presenting the processed environmental state data by using greenhouse display equipment and a mobile phone software platform; the central control room is used for manually regulating and controlling various environmental states of the greenhouse;
the output end of the control module is electrically connected with the input end of the acquisition module; the output end of the acquisition module is electrically connected with the output end of the monitoring management module; the input end of the monitoring management module is electrically connected with the input end of the display module; the output end of the central control room is electrically connected with the input end of the display module.
2. The intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data as claimed in claim 1, wherein: the control module comprises a sensor control unit, an automatic monitoring unit and an automatic regulation and control unit;
the sensor control unit is used for arranging the greenhouse sensors, and the sensor arrangement process in the greenhouse is as follows:
s2-1, calculating the number to be installed according to the detection ranges of different sensors, wherein the calculation formula of the number of the different sensors is as follows:
wherein n is i The number of the sensors required to be installed for different sensors in the greenhouse space is n i The remainder is rounded off; l (L) 0 The planting area of the greenhouse; m is M i The detection range of the sensor is different;
s2-2, equally dividing the greenhouse area according to the installation number of different sensors, and virtually installing the sensors in the central positions of different dividing areas; establishing a 3D (three-dimensional) grid, and planning a circuit aiming at the position of a virtually installed sensor, wherein the method comprises the following specific steps: erecting transverse and longitudinal supports in a greenhouse into transverse and longitudinal lines of grids, and establishing 3D (three-dimensional) grids; taking intersection points of transverse symmetry axes and longitudinal symmetry axes of the greenhouse as grid origin points, and setting coordinate points of sensors as (x) i ，y i ，h i ) Taking a sensor interface as an end point, dividing the sensor interface into a plurality of sensor interfaces according to different functions, and setting coordinates as (a) i ，b i ，l i ) The method comprises the steps of carrying out a first treatment on the surface of the Inputting the coordinates of the start point and the end point, and using Depth-First Search from the start point to the end point of the sensorForming a plurality of lines between the end points of the sensor interface, setting intersection points of transverse lines and longitudinal lines as nodes, and representing actual distances by weights of edges among different nodes to form line arrangement of the sensor;
the automatic monitoring unit comprises an automatic temperature measuring unit, an outdoor sunshade monitoring unit and a humidity monitoring unit; the system is used for virtually monitoring the temperature, illumination and irrigation conditions in the greenhouse in real time;
the automatic regulation and control unit is used for carrying out virtual automatic regulation and control on various data of the greenhouse environment according to the instruction.
3. The intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data according to claim 2, wherein the intelligent environmental control system is characterized in that: in step S2-2, the specific process for virtually installing the sensor position is as follows:
the number n of the sensors to be installed i Taking the number of the installed sensors as n if the remainder is one bit i +1, dividing the greenhouse area into n i +1 equal area areas, and installing sensors at the center point of each area; the number n of the sensors to be installed i Taking the number of the installed sensors as n after the remainder is removed i And the rest area is taken from the center of the greenhouse and is set as a sensor-free area, and the rest area of the greenhouse is divided into n i Equal area regions, and sensors are mounted at the center point of each region.
4. The intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data according to claim 2, wherein the intelligent environmental control system is characterized in that: in step S2-2, selecting and evaluating the planned multiple lines, establishing a single standard evaluation system for N evaluation objects and M evaluation indexes, and recording the evaluation index of the ith evaluation object as v= [ v ] 1 ，v 2 ，…，v M ]I=1, 2, …, N; the evaluation object observations are respectively: v ij J is an evaluation index; preprocessing the evaluation index value:
wherein mu j Is the sample mean value; s is(s) j Is the standard deviation of the sample;
order the
Wherein b ij For the evaluation index value after pretreatment; let index weight coefficient vector be ω= [ ω ] 1 ，ω 2 ，…，ω m ]The method comprises the steps of carrying out a first treatment on the surface of the The weighted comprehensive evaluation function f of the construction line i ：
Wherein f i A weighted comprehensive evaluation value for the i-th evaluation object; the evaluation index comprises line length, node number, line trend height and line bending times; finally according to f i And (5) sorting or classifying the N evaluation objects to obtain a final result.
5. The intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data as claimed in claim 1, wherein: the acquisition module comprises a data acquisition unit and a data transmission unit;
the data acquisition unit is used for virtually acquiring the data of the sensor of the control module, acquiring the data once in every fixed period T to obtain real-time environmental state data, and storing the data into the database for storage;
the data transmission unit is used for carrying out virtual uploading on the obtained data, and the uploading mode opens up a direct data exchange path between the peripheral equipment and the memory for carrying out data transmission.
6. The intelligent environmental control system for the crop growth controllable agricultural greenhouse based on big data as claimed in claim 1, wherein: the monitoring management module comprises a data comparison unit using a comparison algorithm based on a Burrows Wheeler transforma index data structure and a regulation and control management unit using feedback control for virtual ring control;
the data comparison unit is used for virtually setting crop growth environment data of different areas of the greenhouse, using a Burrows Wheeler transf-based comparison algorithm for the greenhouse monitoring system and the collected environment state data to pass through a Burrows Wheeler transform-based special index structure of a reference genome sequence, and outputting a control instruction when a comparison difference value or a difference value between sensors of the same type exceeds a set greenhouse crop growth environment threshold value;
the regulation and control management unit is used for carrying out virtual regulation and control management aiming at the virtual control instruction, the regulation and control management comprises two types of regulation and control management respectively: feedback control is carried out on the greenhouse environment according to the comparison data; and setting data according to the greenhouse display equipment or the mobile phone software platform manually, and automatically regulating and controlling the greenhouse environment according to the set data.
7. An intelligent environmental control method for crop growth controllable agricultural greenhouses based on big data is characterized by comprising the following steps: the method comprises the following steps:
step S100: the sensors are distributed in a ring control way, and the temperature, the humidity and the illumination in the greenhouse are monitored and controlled according to the sensors with different functions to form a greenhouse monitoring system; collecting data of a control module sensor to obtain real-time environment state data;
step S200: setting crop growth environment data of different areas of the greenhouse, and managing a greenhouse monitoring system and collected environment state data;
step S300: comparing the obtained real-time environmental state data with the set growth environment data by using a comparison algorithm based on a Burrows Wheeler transforma index data structure, and presenting the environment state data after comparison processing by using greenhouse display equipment and a mobile phone software platform;
step S400: according to the greenhouse display equipment or the data greenhouse presented by the mobile phone software platform, the greenhouse environment data can be automatically adjusted or manually adjusted.
8. The intelligent environmental control method for the crop growth controllable agricultural greenhouse based on big data, which is characterized by comprising the following steps of: in step S200, the crop growth environment data of different areas of the greenhouse are set, and the setting of the crop growth environment data is set according to different requirements of the crops on the environment in each growth stage.
9. The intelligent environmental control method for the crop growth controllable agricultural greenhouse based on big data, which is characterized by comprising the following steps of: in step S300, the obtained real-time environmental status data is compared with the set growth environmental data, wherein the comparison result is fed back to the automatic regulation unit of the control module to realize automatic regulation of the greenhouse environment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310175964.9A CN116225114B (en) | 2023-02-28 | 2023-02-28 | Intelligent environmental control system and method for crop growth controllable agricultural greenhouse based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310175964.9A CN116225114B (en) | 2023-02-28 | 2023-02-28 | Intelligent environmental control system and method for crop growth controllable agricultural greenhouse based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116225114A true CN116225114A (en) | 2023-06-06 |
| CN116225114B CN116225114B (en) | 2023-10-03 |
Family
ID=86586999
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310175964.9A Active CN116225114B (en) | 2023-02-28 | 2023-02-28 | Intelligent environmental control system and method for crop growth controllable agricultural greenhouse based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116225114B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116868812A (en) * | 2023-08-25 | 2023-10-13 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse using winter dehumidification device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104618025A (en) * | 2015-01-19 | 2015-05-13 | 天津大学 | Sensor number and arrangement method of one-dimensional optical fiber sensing network |
| CN104796915A (en) * | 2015-05-08 | 2015-07-22 | 北京科技大学 | Method for optimizing two-dimensional aeoplotropism sensor network coverage |
| KR20190143680A (en) * | 2018-06-21 | 2019-12-31 | 주식회사 에스에스엘 | System for real-time monitoring groth state of crop in green house based on internet of things |
| CN211087028U (en) * | 2019-11-07 | 2020-07-24 | 常州瑞尼客数控科技有限公司 | Warmhouse booth intelligence control system |
| CN112987831A (en) * | 2021-03-01 | 2021-06-18 | 山东农业大学 | Greenhouse environment monitoring and management system and method based on Internet of things |
-
2023
- 2023-02-28 CN CN202310175964.9A patent/CN116225114B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104618025A (en) * | 2015-01-19 | 2015-05-13 | 天津大学 | Sensor number and arrangement method of one-dimensional optical fiber sensing network |
| CN104796915A (en) * | 2015-05-08 | 2015-07-22 | 北京科技大学 | Method for optimizing two-dimensional aeoplotropism sensor network coverage |
| KR20190143680A (en) * | 2018-06-21 | 2019-12-31 | 주식회사 에스에스엘 | System for real-time monitoring groth state of crop in green house based on internet of things |
| CN211087028U (en) * | 2019-11-07 | 2020-07-24 | 常州瑞尼客数控科技有限公司 | Warmhouse booth intelligence control system |
| CN112987831A (en) * | 2021-03-01 | 2021-06-18 | 山东农业大学 | Greenhouse environment monitoring and management system and method based on Internet of things |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116868812A (en) * | 2023-08-25 | 2023-10-13 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse using winter dehumidification device |
| CN116868812B (en) * | 2023-08-25 | 2024-01-16 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse using winter dehumidification device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116225114B (en) | 2023-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kang et al. | Managing traditional solar greenhouse with CPSS: A just-for-fit philosophy | |
| Riha et al. | Impact of temperature and precipitation variability on crop model predictions | |
| CN104486435B (en) | Low energy consumption ecological environmental monitoring node deployment method based on sensor network | |
| US20170270446A1 (en) | Agronomic systems, methods and apparatuses for determining yield limits | |
| CN109982559A (en) | Control agricultural producing areas | |
| CN110347127A (en) | Crop planting mandatory system and method based on cloud service | |
| US20160302351A1 (en) | Agronomic systems, methods and apparatuses | |
| CN108958329B (en) | Drip irrigation water and fertilizer integrated intelligent decision-making method | |
| US20220075344A1 (en) | A method of finding a target environment suitable for growth of a plant variety | |
| CN108781926B (en) | Greenhouse irrigation system and method based on neural network prediction | |
| CN104521699A (en) | Field intelligent irrigation on-line control management method | |
| CN112602563A (en) | Water-saving irrigation system and accurate irrigation method | |
| US20200250593A1 (en) | Yield estimation in the cultivation of crop plants | |
| CN107950324A (en) | Based on corn irrigation requirement calculates stage by stage irrigation management system and irrigation method | |
| CN110069032B (en) | Eggplant greenhouse environment intelligent detection system based on wavelet neural network | |
| KR102265587B1 (en) | Smart Farm Control System Using Smart Farm Control History | |
| CN106777683A (en) | A kind of crop growth of cereal crop seedlings monitoring system and method | |
| CN116225114B (en) | Intelligent environmental control system and method for crop growth controllable agricultural greenhouse based on big data | |
| JP2017051125A (en) | Growth diagnostic method, growth diagnostic apparatus, data measurement device, growth diagnostic program, growth assisting method, growth assisting device, and growth assisting program | |
| CN109634332A (en) | A kind of intelligent control system of modern greenhouse | |
| CN113273449A (en) | Digital twin body construction method for precise monitoring of sunlight greenhouse | |
| CN114740930A (en) | Intelligent management and control platform system for greenhouse and management and control processing method | |
| CN112330149A (en) | Crop management system, method and device and electronic equipment | |
| CN116578047B (en) | Fine intelligent control method and system for chilli production | |
| KR20210059070A (en) | Cultivation monitoring system for crops and cultivation monitoring method for crops thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |