CN113196999A - Indoor plant illumination control method and device - Google Patents
Indoor plant illumination control method and device Download PDFInfo
- Publication number
- CN113196999A CN113196999A CN202110440361.8A CN202110440361A CN113196999A CN 113196999 A CN113196999 A CN 113196999A CN 202110440361 A CN202110440361 A CN 202110440361A CN 113196999 A CN113196999 A CN 113196999A
- Authority
- CN
- China
- Prior art keywords
- plant
- information
- current
- lighting
- current image
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000005286 illumination Methods 0.000 title claims abstract description 22
- 230000012010 growth Effects 0.000 claims abstract description 21
- 241000196324 Embryophyta Species 0.000 claims description 204
- 241000607479 Yersinia pestis Species 0.000 claims description 17
- 201000010099 disease Diseases 0.000 claims description 17
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 17
- 230000008635 plant growth Effects 0.000 claims description 17
- 238000007781 pre-processing Methods 0.000 claims description 10
- 239000011324 bead Substances 0.000 claims description 9
- 241000238631 Hexapoda Species 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 8
- 230000001580 bacterial effect Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 6
- 230000001419 dependent effect Effects 0.000 claims description 4
- 230000002650 habitual effect Effects 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 3
- 230000036541 health Effects 0.000 abstract description 2
- 238000013461 design Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 235000013619 trace mineral Nutrition 0.000 description 1
- 239000011573 trace mineral Substances 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/24—Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
- A01G9/249—Lighting means
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G7/00—Botany in general
- A01G7/04—Electric or magnetic or acoustic treatment of plants for promoting growth
- A01G7/045—Electric or magnetic or acoustic treatment of plants for promoting growth with electric lighting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/155—Coordinated control of two or more light sources
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
-
- 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
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/14—Measures for saving energy, e.g. in green houses
Abstract
The invention belongs to the field of intelligent control, and provides an indoor plant illumination control method and device aiming at the problem that when an LED lamp group is manually adjusted to irradiate plants with different health conditions at each growth stage, the irradiation distribution and the irradiation intensity of the LED lamp group are manually adjusted; the method comprises the following steps: identifying corresponding current plant type information according to the acquired current image information; and substituting the collected plant state information into the plant habit rule corresponding to the current plant type information to obtain the plant light-requiring distribution information, obtaining the current lighting scheme according to the plant light-requiring distribution information, and executing the current lighting scheme.
Description
Technical Field
The invention belongs to the field of intelligent control, and particularly relates to an indoor plant illumination control method and device.
Background
At present, indoor agricultural planting generally has two forms, one is to plant plants in flowerpots directly, and users can ensure that light rays of the plants in the flowerpots meet the growth requirements of the users by carrying the flowerpots; the other type is to plant the plant in indoor fixed area (like the flower bed) and carry out the light filling through LED to the light that guarantees in the vegetation demand can be satisfied. Reasonable use LED plant lamp carries out the light filling, can obtain higher output in effectual space on the one hand, and on the other hand also can shorten planting cycle, promote crops nutrient composition.
In the indoor agricultural planting of the present day, an LED lamp is generally adopted to fix the irradiation direction. Because the growth characteristics of the plants and the light requirements of the plants in different growth periods are different, when the treatment mode is implemented, a worker needs to frequently and manually adjust the on-off state of a circuit where the LED lamp is located, so that the effect of changing the whole illumination direction and illumination brightness distribution of the LED lamp group is realized, and the LED lamp group is matched with the growth characteristics of the current plants. The mode is time-consuming and labor-consuming, workers need to identify the types of the plants by experience, judge the growth stages of the plants, monitor the plant diseases and insect pests during growth of the plants and manually adjust the irradiation distribution of the LED lamp group, and the mode greatly depends on manual work, is not convenient and fast to implement and has poor applicability.
Disclosure of Invention
The invention provides an indoor plant illumination control method and device, which are used for solving the problem that in the prior art, when an LED lamp group is manually adjusted to irradiate plants with different health conditions in each growth stage, the irradiation distribution and the irradiation intensity of the LED lamp group are manually adjusted.
In order to solve the technical problem, an embodiment of the present invention provides an indoor plant lighting control method, including:
identifying corresponding current plant type information according to the acquired current image information;
substituting the collected plant state information into the plant habit rule corresponding to the current plant type information to obtain the light distribution information required by the plant;
and obtaining a current lighting scheme according to the plant light distribution information, and executing the current lighting scheme.
Has the advantages that: when the scheme is implemented, the current image information of the leaves and the plant state information of the whole plant are directly collected. Compare through the image according to current plant information, discern the current plant kind information that corresponds this current image information, the kind of automatic identification plant has appeared the condition that plant kind judged the error easily when having removed the artifical plant kind of judgement from, has also avoided because staff's error makes the label and the plant self that the plant corresponds correct kind inconsistent, a series of light irradiation error's that the back causes problem. In addition, according to the scheme, the plant light demand distribution information of the plant at the current time is obtained according to the plant state information reflecting the growth condition of the plant and the growth rule of the plant, so that the lighting effect required to be achieved by the lighting control device is called, and the current lighting scheme of the plant can be obtained according to the plant light demand distribution information. Finally, the automatic judgment of the type of the plant is realized, the illumination scheme of the plant is flexibly adjusted according to the growth condition of the plant and the type of the plant, and the automatic and reasonable self-adjustment of the plant illumination control device is realized.
Further, according to the collected current image information, identifying corresponding current plant type information, including:
acquiring the collected current image information;
preprocessing the current image information;
and according to the preprocessed current image information, finding out the corresponding current plant species information from the storage module by adopting an image recognition technology.
Further, preprocessing the current image information, including:
acquiring gray data of the current image information; and carrying out illumination compensation on the current image information according to the gray data.
Further, preprocessing the current image information, including:
and screening continuous pixel points with the gray level within a preset gray level range in the current image information, forming a sub-image according to the continuous pixel points, and updating the current image information by using the sub-image.
Further, the plant state information that will gather substitutes the plant habit rule that current plant kind information corresponds obtains the plant and needs light distribution information, includes:
searching for a corresponding plant habit rule according to the current plant type information; the dependent variable of the plant habitual rule is the light distribution information required by the plant, and the independent variable comprises the plant growth condition and the plant growth environment information;
acquiring the collected current plant state information;
obtaining the growth condition of the plants according to the state information of all the current plants;
and substituting the plant growth condition into the plant habit rule to obtain the light distribution information required by the plant.
Further, obtaining a current lighting scheme according to the plant light distribution information, comprising:
acquiring prestored LED lamp group arrangement combination and corresponding lamp group light distribution information;
and screening out the light distribution information of the lamp group closest to the light distribution required by the plant, and taking the arrangement combination of the LED lamp group corresponding to the light distribution information of the lamp group as the current lighting scheme.
Further, obtaining a current lighting scheme according to the plant light distribution information, comprising:
acquiring LED lamp group distribution information and light intensity distribution information when a single LED lamp bead is lightened;
obtaining corresponding lighting information of various lamp groups by adopting a permutation and combination mode according to the distribution information of the LED lamp groups; the distribution of the lighting parts in the LED lamp groups in the lighting information of different lamp groups is different;
and calculating to obtain the lamp group light distribution information of the LED lamp groups correspondingly arranged and combined according to the lamp group lighting information and the light intensity distribution information when the LED lamp beads are lighted.
Further, according to all the current plant state information, obtaining the plant growth conditions, including:
identifying disease and pest plaque according to the collected current image information;
predicting the distribution coefficient of the plant disease and insect pest bacterial plaque according to the distribution condition of the disease and insect pest bacterial plaque in all current image information of the same plant in a preset time period;
and according to the state information of all the current plants, combining the distribution coefficient of the pest and disease plaque to obtain the growth condition of the plants.
In addition, the present invention also provides a computer-readable storage medium, wherein one or more instructions are stored in the computer-readable storage medium, and when executed by a processor in an image processing device, the one or more instructions implement any of the above-mentioned indoor plant lighting control methods.
An indoor plant lighting control apparatus, the apparatus comprising:
a memory and a processor;
at least one program instruction is stored in the memory;
the processor is used for realizing any indoor plant illumination control method by loading and executing at least one program instruction
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an indoor plant illumination control method according to a first embodiment of the present invention;
fig. 2 is a block diagram of an indoor plant lighting control device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an indoor plant lighting control device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
The following is further detailed by the specific embodiments:
the first embodiment:
the invention provides an indoor plant illumination control method, which comprises the following steps: identifying corresponding current plant type information according to the acquired current image information; substituting the collected plant state information into the plant habit rule corresponding to the current plant type information to obtain the light distribution information required by the plant; and obtaining a current lighting scheme according to the plant light distribution information, and executing the current lighting scheme.
When the method is implemented, the current image information of the leaves and the plant state information of the whole plant are directly collected. Compare through the image according to current plant information, discern the current plant kind information that corresponds this current image information, the kind of automatic identification plant has appeared the condition that plant kind judged the error easily when having removed the artifical plant kind of judgement from, has also avoided because staff's error makes the label and the plant self that the plant corresponds correct kind inconsistent, a series of light irradiation error's that the back causes problem. In addition, according to the scheme, the plant light demand distribution information of the plant at the current time is obtained according to the plant state information reflecting the growth condition of the plant and the growth rule of the plant, so that the lighting effect required to be achieved by the lighting control device is called, and the current lighting scheme of the plant can be obtained according to the plant light demand distribution information. Finally, the automatic judgment of the type of the plant is realized, the illumination scheme of the plant is flexibly adjusted according to the growth condition of the plant and the type of the plant, and the automatic and reasonable self-adjustment of the plant illumination control device is realized.
The implementation details of the indoor plant lighting control method of the present embodiment are specifically described below, the following description is only provided for facilitating understanding of the implementation details, and is not necessary for implementing the present solution, a specific flow of the present embodiment is shown in fig. 1, and the present embodiment is applied to a server on a network side.
Specifically, the implementation of step 101 includes the following steps: s1-1, acquiring the acquired current image information; s1-2, preprocessing the current image information; and S1-3, finding out the corresponding current plant species information from the storage module by adopting an image recognition technology according to the preprocessed current image information.
In step S1-1, the current image information is the image information of the plant collected by the image collecting device, and the collected image information is the leaf of the plant, and the image collecting device may adopt an infrared camera or a camera or other image-keeping equipment.
In step S1-2, the current picture is preprocessed in multiple ways:
firstly, acquiring gray data of the current image information; and carrying out illumination compensation on the current image information according to the gray data.
The method specifically comprises the following steps: calculating the average gray value of a plurality of pixel points at the central position in the current image information; calculating a parameter value of a predetermined parameter according to a first formula, where γ ═ log (Ga) -1, Ga is the average gray-scale value, and γ is the predetermined parameter; and inquiring an illumination compensation relation table corresponding to the parameter values, and adjusting the brightness value of each color channel of each pixel point according to the corresponding relation in the illumination compensation relation table. The purpose of the preprocessing mode is to perform illumination compensation on the current image information and improve the brightness.
And secondly, screening continuous pixel points with the gray level within a preset gray level range in the current image information, forming a sub-image according to the continuous pixel points, and updating the current image information by using the sub-image.
Firstly, converting the current image information from an RGB format to an RCbCr format:
converting RGB data of each pixel point of the current image information into YCbCr data by adopting a formula (1),
wherein, R is a luminance value of a red channel of any pixel point, G is a luminance value of a green channel of any pixel point, B is a luminance value of a blue channel of any pixel point, Y is a luminance component value of any pixel point, Cb is a blue chrominance component value of any pixel point, and Cr is a red chrominance component value of any pixel point;
then, the preset gray scale range [ a, b ] is divided into three preset intervals, and Y belongs to [ a1, b1 ], Cb belongs to [ a2, b2 ], Cr belongs to [ a3, b3 ], respectively.
Then, extracting pixel points which are in Y e (a 1, b 1), Cb e (a 2, b 2) and Cr e (a 3, b 3) and can be simultaneously met from the current image information converted into the RCbCr format;
then, screening out the mutually connected pixel points in the pixel points, and forming a sub-graph;
finally, the current image information is updated using the sub-picture. The method aims to extract a subgraph representing a blade part in the original current image information, then update the subgraph to be close to 'matting' in the prior art, and reduce the workload of subsequent analysis according to the representing blade part in the current image information. The method and the device extract the pixel points which are connected with each other, and reduce the influence of noise points during image shooting.
specifically, in one example, the implementation of step 102 includes the steps of:
s2-1, searching and obtaining a corresponding plant habit rule according to the current plant type information; the dependent variable of the plant habitual rule is the light distribution information required by the plant, and the independent variable comprises the plant growth condition and the plant growth environment information.
The storage module also stores the associated information in the format of 'plant species information-plant habit rules', and after directly selling the plant species information, the storage module searches for the plant habit rules to obtain the plant habit rules.
And S2-2, acquiring the collected current plant state information.
The plant status information is collected by sensors, which are usually located within a predetermined range of the plant to measure the environmental conditions around the plant, such as temperature, humidity, illumination intensity, the content of various trace elements in the soil, and the location of the plant. The sensor then sends the measured data out for receipt by the enforcement device of S2-2.
And S2-3, obtaining the plant growth condition according to the current plant state information.
The plant state information is each value collected by the plant at a preset moment, and the growth condition of the plant can be summarized by summarizing the values, wherein the growth condition of the plant is shown by a data set, or can be shown by a value obtained by carrying out operation of a fixed formula on the plant state information (the fixed formula is set by a designer).
S2-4, substituting the plant growth condition into the plant habit rule to obtain the light distribution information of the plant.
In another example, the implementation of step 102 includes the steps of: s2-1, searching and obtaining a corresponding plant habit rule according to the current plant type information; the dependent variable of the plant habitual rule is the light distribution information required by the plant, and the independent variable comprises the plant growth condition and the plant growth environment information. And S2-2, acquiring the collected current plant state information. S2-3, identifying disease and pest plaque according to the collected current image information; s2-4, predicting the distribution coefficient of the plant disease and insect pest bacterial plaque according to the distribution condition of the disease and insect pest bacterial plaque in all current image information of the same plant in a preset time period; s2-5, obtaining the growth condition of the plant according to the current plant state information and by combining the distribution coefficient of the pest and disease plaque; s2-6, substituting the plant growth condition into the plant habit rule to obtain the light distribution information of the plant.
And 103, obtaining a current lighting scheme according to the plant light distribution information, and executing the current lighting scheme.
Specifically, in one example, the implementation of step 103 includes the steps of: s3-1, acquiring LED lamp group arrangement combination and corresponding lamp group light distribution information prestored in a storage module; s3-2, screening out the light distribution information of the lamp group closest to the light distribution required by the plant, and taking the arrangement combination of the LED lamp group corresponding to the light distribution information of the lamp group as the current lighting scheme; s3-3, executing the current lighting scheme.
In another example, the implementation of step S103 includes the steps of: s3-1, acquiring lamp bead distribution information (indicating the positions of all lamp beads) in the LED lamp group and light intensity distribution information when a single LED lamp bead is lightened; s3-2, obtaining corresponding lighting information of a plurality of lamp groups by adopting a permutation and combination mode according to the distribution information of the LED lamp groups, wherein the distribution of the lighting parts in the LED lamp groups in the lighting information of different lamp groups is different; s3-3, calculating to obtain lamp group light distribution information of the LED lamp groups correspondingly arranged and combined according to the lamp group lighting information and the light intensity distribution information when the LED lamp beads are lighted; s3-4, screening out the light distribution information of the lamp group closest to the light distribution required by the plant, and taking the arrangement combination of the LED lamp group corresponding to the light distribution information of the lamp group as the current lighting scheme; s3-5, executing the current lighting scheme.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
Second embodiment
As shown in fig. 2, a second embodiment of the present invention provides an indoor plant illumination control apparatus, including:
an acquisition module 201, configured to acquire current image information and plant state information of a corresponding plant;
the storage module 202 is used for storing the standard image information and the standard type information which correspond to each other, the standard type information and the plant habit rule which correspond to each other;
the preprocessing module 203 is configured to preprocess the current image information acquired by the acquisition module 201, and send the processed current image information to the identification module 204;
the identification module 204 is configured to search, according to the current image information sent by the preprocessing module 203, standard type information corresponding to the standard image information that is consistent with the current image information from the storage module 202, say that the standard type sydney is used as current plant type information, and send the current plant type information to the search module 205;
the searching module 205 is configured to search, according to the current plant type information sent by the identifying module 204, a plant habit rule corresponding to standard type information that is the same as the current plant type information from the storage module 202, and send the plant habit rule to the processing module 206;
the processing module 206 is configured to identify pest and disease plaque according to the current image information sent by the acquisition module 201, and predict a distribution coefficient of pest and disease plaque of the plant according to a distribution condition of pest and disease plaque in all current image information of the same plant in a preset time period; according to the plant state information sent by the acquisition module 201, the plant growth condition is obtained by combining the distribution coefficient of the plant diseases and insect pests bacterial plaque; the system is further configured to substitute the plant growth condition into the plant habit rule sent by the search module 205 to obtain light distribution information required by the plant; obtaining a current lighting scheme according to the plant light distribution information, and sending the current lighting scheme to the control module 207;
and the control module 207 is used for controlling the on-off of a circuit where each lamp bead in the LED lamp group is located according to the current lighting scheme sent by the processing module 207.
It should be understood that this embodiment is a system example corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
The third embodiment:
a third embodiment of the present invention relates to a network side server, as shown in fig. 3, including at least one processor 301; and a memory 302 communicatively coupled to the at least one processor 301; the memory 302 stores instructions executable by the at least one processor 301, and the instructions are executed by the at least one processor 301, so that the at least one processor 301 can execute the indoor plant lighting control method.
Where the memory 302 and the processor 301 are coupled in a bus, the bus may comprise any number of interconnected buses and bridges, the buses coupling one or more of the various circuits of the processor 301 and the memory 302. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 301 is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor 301.
The processor 301 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 302 may be used to store data used by processor 301 in performing operations.
Fourth embodiment:
a fourth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program, when executed by the processor, implements the method for controlling lighting of an indoor plant in the first embodiment.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. An indoor plant lighting control method, comprising:
identifying corresponding current plant type information according to the acquired current image information;
substituting the collected plant state information into the plant habit rule corresponding to the current plant type information to obtain the light distribution information required by the plant;
and obtaining a current lighting scheme according to the plant light distribution information, and executing the current lighting scheme.
2. The indoor plant lighting control method of claim 1, wherein identifying corresponding current plant species information according to the acquired current image information comprises:
acquiring the collected current image information;
preprocessing the current image information;
and according to the preprocessed current image information, finding out the corresponding current plant species information from the storage module by adopting an image recognition technology.
3. The indoor plant lighting control method of claim 2, wherein preprocessing the current image information comprises:
acquiring gray data of the current image information; and carrying out illumination compensation on the current image information according to the gray data.
4. The indoor plant lighting control method of claim 2, wherein preprocessing the current image information comprises:
and screening continuous pixel points with the gray level within a preset gray level range in the current image information, forming a sub-image according to the continuous pixel points, and updating the current image information by using the sub-image.
5. The indoor plant lighting control method of claim 1, wherein the step of obtaining the light distribution information of the plant by substituting the collected plant status information into the plant habit corresponding to the current plant type information comprises:
searching for a corresponding plant habit rule according to the current plant type information; the dependent variable of the plant habitual rule is the light distribution information required by the plant, and the independent variable comprises the plant growth condition and the plant growth environment information;
acquiring the collected current plant state information;
obtaining the growth condition of the plants according to the state information of all the current plants;
and substituting the plant growth condition into the plant habit rule to obtain the light distribution information required by the plant.
6. The indoor plant lighting control method of claim 1, wherein obtaining a current lighting scheme according to the plant light distribution requirement information comprises:
acquiring prestored LED lamp group arrangement combination and corresponding lamp group light distribution information;
and screening out the light distribution information of the lamp group closest to the light distribution required by the plant, and taking the arrangement combination of the LED lamp group corresponding to the light distribution information of the lamp group as the current lighting scheme.
7. An indoor plant lighting control method as claimed in claim 1, wherein: obtaining a current lighting scheme according to the plant light distribution information, comprising:
acquiring LED lamp group distribution information and light intensity distribution information when a single LED lamp bead is lightened;
obtaining corresponding lighting information of various lamp groups by adopting a permutation and combination mode according to the distribution information of the LED lamp groups; the distribution of the lighting parts in the LED lamp groups in the lighting information of different lamp groups is different;
and calculating to obtain the lamp group light distribution information of the LED lamp groups correspondingly arranged and combined according to the lamp group lighting information and the light intensity distribution information when the LED lamp beads are lighted.
8. The indoor plant lighting control method of claim 5, wherein obtaining plant growth status according to all current plant status information comprises:
identifying disease and pest plaque according to the collected current image information;
predicting the distribution coefficient of the plant disease and insect pest bacterial plaque according to the distribution condition of the disease and insect pest bacterial plaque in all current image information of the same plant in a preset time period;
and according to the state information of all the current plants, combining the distribution coefficient of the pest and disease plaque to obtain the growth condition of the plants.
9. A computer-readable storage medium having one or more instructions stored therein, wherein the one or more instructions, when executed by a processor within an image processing device, implement the method of controlling indoor plant lighting according to any one of claims 1 to 8.
10. An indoor plant lighting control apparatus, the apparatus comprising:
a memory and a processor;
at least one program instruction is stored in the memory;
the processor, by loading and executing the at least one program instruction, implements the indoor plant lighting control method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110440361.8A CN113196999A (en) | 2021-04-22 | 2021-04-22 | Indoor plant illumination control method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110440361.8A CN113196999A (en) | 2021-04-22 | 2021-04-22 | Indoor plant illumination control method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113196999A true CN113196999A (en) | 2021-08-03 |
Family
ID=77028077
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110440361.8A Pending CN113196999A (en) | 2021-04-22 | 2021-04-22 | Indoor plant illumination control method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113196999A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113615423A (en) * | 2021-08-11 | 2021-11-09 | 深圳市恩科照明有限公司 | Novel plant growth lamp control method and system |
| CN114449711A (en) * | 2021-12-15 | 2022-05-06 | 墨泉农业科技有限公司 | Intelligent control method and device of multifunctional plant lamp and multifunctional plant lamp |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101646068A (en) * | 2009-09-07 | 2010-02-10 | 中国农业大学 | Plant diseases and insect pest information acquisition system and method |
| CN104798634A (en) * | 2015-04-22 | 2015-07-29 | 申鸣 | System, method and device for controlling illuminance and plant planting equipment |
| CN104898468A (en) * | 2015-03-31 | 2015-09-09 | 小米科技有限责任公司 | Plant growth control system and method |
| CN108834287A (en) * | 2018-07-20 | 2018-11-16 | 芜湖碧水谣医疗设备科技有限公司 | A kind of plant growth lamp light control system |
| CN210641526U (en) * | 2019-05-05 | 2020-06-02 | 南京邮电大学 | LED plant light supplement lamp system capable of automatically adjusting light quality ratio |
| CN111405726A (en) * | 2019-11-29 | 2020-07-10 | 深圳市赛亿科技开发有限公司 | Intelligent plant table lamp, control method thereof and computer readable storage medium |
| CN111418381A (en) * | 2020-04-26 | 2020-07-17 | 南京格尼兹农业科技有限责任公司 | Dynamically-adjustable L ED plant light supplementing system and dynamic light adjusting method |
| CN211267788U (en) * | 2019-12-10 | 2020-08-18 | 中国计量大学 | Intelligent greenhouse light supplementing system |
| CN111869460A (en) * | 2020-06-29 | 2020-11-03 | 北京农业信息技术研究中心 | Vegetable basin and plant planting method |
-
2021
- 2021-04-22 CN CN202110440361.8A patent/CN113196999A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101646068A (en) * | 2009-09-07 | 2010-02-10 | 中国农业大学 | Plant diseases and insect pest information acquisition system and method |
| CN104898468A (en) * | 2015-03-31 | 2015-09-09 | 小米科技有限责任公司 | Plant growth control system and method |
| CN104798634A (en) * | 2015-04-22 | 2015-07-29 | 申鸣 | System, method and device for controlling illuminance and plant planting equipment |
| CN108834287A (en) * | 2018-07-20 | 2018-11-16 | 芜湖碧水谣医疗设备科技有限公司 | A kind of plant growth lamp light control system |
| CN210641526U (en) * | 2019-05-05 | 2020-06-02 | 南京邮电大学 | LED plant light supplement lamp system capable of automatically adjusting light quality ratio |
| CN111405726A (en) * | 2019-11-29 | 2020-07-10 | 深圳市赛亿科技开发有限公司 | Intelligent plant table lamp, control method thereof and computer readable storage medium |
| CN211267788U (en) * | 2019-12-10 | 2020-08-18 | 中国计量大学 | Intelligent greenhouse light supplementing system |
| CN111418381A (en) * | 2020-04-26 | 2020-07-17 | 南京格尼兹农业科技有限责任公司 | Dynamically-adjustable L ED plant light supplementing system and dynamic light adjusting method |
| CN111869460A (en) * | 2020-06-29 | 2020-11-03 | 北京农业信息技术研究中心 | Vegetable basin and plant planting method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113615423A (en) * | 2021-08-11 | 2021-11-09 | 深圳市恩科照明有限公司 | Novel plant growth lamp control method and system |
| CN114449711A (en) * | 2021-12-15 | 2022-05-06 | 墨泉农业科技有限公司 | Intelligent control method and device of multifunctional plant lamp and multifunctional plant lamp |
| CN114449711B (en) * | 2021-12-15 | 2023-11-24 | 上海墨泉生物有限公司 | Intelligent control method and device for multifunctional plant lamp and multifunctional plant lamp |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11440659B2 (en) | Precision agriculture implementation method by UAV systems and artificial intelligence image processing technologies | |
| US10942113B2 (en) | Methods, systems, and components thereof relating to using multi-spectral imaging for improved cultivation of cannabis and other crops | |
| CN104077725B (en) | The monitoring of potato planting Internet of Things, control and information service cloud platform integrated system | |
| CN113196999A (en) | Indoor plant illumination control method and device | |
| WO2019245122A1 (en) | System for monitoring, in real time, growth state of crop in greenhouse on basis of iot | |
| CN109729332A (en) | A kind of automatic white balance antidote and system | |
| JP5593255B2 (en) | Vegetation control device, plant breeding system | |
| CN109470179B (en) | Large-scale hydroponic vegetable growth detection system and method | |
| CN111985724B (en) | Crop yield estimation method, device, equipment and storage medium | |
| CN107450449A (en) | A kind of agricultural monitoring system | |
| US20170243340A1 (en) | Techniques for determining absolute color values for multimedia content elements | |
| KR20190143678A (en) | System for managing environment of green house based on internet of things | |
| CN108629289A (en) | The recognition methods in farmland and system, applied to the unmanned plane of agricultural | |
| CN112001242A (en) | Intelligent gardening management method and device | |
| CN114730437A (en) | Information processing apparatus, information processing method, and program | |
| CN104504736B (en) | A kind of method and system for recognizing field crop growing way monitoring image Green plant | |
| WO2021087685A1 (en) | Operation planning method and device combining multispectral and earth surface semantic information, and apparatus | |
| CN114894791A (en) | Rice growth analysis system and method based on matching factors | |
| JP2019153109A (en) | Agricultural management prediction system, agricultural management prediction method, and server device | |
| CN107368129A (en) | Greenhouse planting display method and greenhouse planting display system | |
| CN113435345A (en) | Growth stage determination method and device, agricultural system, equipment and storage medium | |
| CN109324509A (en) | Information Regulating method, apparatus and system | |
| CN114663652A (en) | Image processing method, image processing apparatus, management system, electronic device, and storage medium | |
| EP3973767A1 (en) | Information processing device and index value calculation method | |
| WO2022114344A1 (en) | System for providing adaptive cultivation information through crop cultivation application |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210803 |
|
| RJ01 | Rejection of invention patent application after publication |