CN107736313B - Silkworm monitoring method and system - Google Patents
Silkworm monitoring method and system Download PDFInfo
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- CN107736313B CN107736313B CN201711044587.6A CN201711044587A CN107736313B CN 107736313 B CN107736313 B CN 107736313B CN 201711044587 A CN201711044587 A CN 201711044587A CN 107736313 B CN107736313 B CN 107736313B
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Abstract
The invention provides a silkworm monitoring method and a silkworm monitoring system, and relates to the technical field of silkworm breeding. The method comprises the steps that the central processing unit divides the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one area on the silkworm platform, and analysis and monitoring of silkworm treasures in each area are achieved. The central processing unit processes each sub-image block respectively to obtain the residual proportion information of the mulberry leaves corresponding to the sub-image block and the estimated silkworm quantity corresponding to the sub-image block; and controlling the mulberry machine to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the residual proportion information, the estimated silkworm quantity and the area information of the mulberry leaves corresponding to each sub-block. By monitoring silkworm treasures in each area of the silkworm table, a proper amount of mulberry leaves are timely supplied according to the monitoring result. Reduces the participation of manpower, saves the labor cost, can also care silkworm treasures in each area of the silkworm table, does not have the condition of forgetting to ignore, and achieves fine cultivation.
Description
Technical Field
The invention relates to the technical field of silkworm breeding, in particular to a silkworm monitoring method and a silkworm monitoring system.
Background
Silkworm (academic: bombyxmori) is the main source of raw materials for insects of the order Lepidoptera, silk, and plays an important role in human economic life and cultural history. The silkworm is a young silkworm period, which is divided into five years, and the silkworm of each period depends on manual care, such as mulberry leaf supply.
Current silkworm rearing is usually a large-scale artificial rearing. The breeder needs to pay attention to the growth of silkworm and supply proper amount of mulberry leaves in time. However, as a labor-intensive industry, the silkworm industry has a serious problem of the lack of labor, which affects the development of the industry, with the increase of urban construction pace. Obviously, the current feeding workload of silkworms is large, the labor cost is too high, and meanwhile, the frequent approach of a breeder to silkworms easily affects the health and growth of silkworms, so that the fine breeding cannot be realized.
Disclosure of Invention
The invention aims to provide a silkworm monitoring method and a silkworm monitoring system for solving the problems.
In order to solve the above problems, the technical scheme adopted by the embodiment of the invention is as follows:
the embodiment of the invention provides a silkworm treasures monitoring method which is applied to a silkworm treasures monitoring system, wherein the silkworm treasures monitoring system comprises a central processing unit, an image acquisition unit, a silkworm platform and a mulberry leaf feeding machine, wherein the image acquisition unit and the mulberry leaf feeding machine are respectively and electrically connected with the central processing unit, and the method comprises the following steps: the image acquisition unit acquires first image information of one side of the silkworm platform, which holds the silkworm reares, according to a preset time interval and transmits the first image information to the central processing unit; the central processing unit divides the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one area on the silkworm platform; the central processing unit processes each sub-image block respectively to obtain a first area corresponding to a first color, a second area corresponding to a second color and a third area corresponding to a third color in each sub-image block, wherein the first color, the second color and the third color are stored in the central processing unit in advance, the first color corresponds to the skin color of the silkworm, the second color corresponds to the color of the mulberry leaf, and the third color corresponds to the color of the silkworm eye; the central processing unit obtains the mulberry leaf residual proportion information corresponding to each sub-image block by utilizing a prestored food Sang Moxing according to the first area and the second area corresponding to each sub-image block in sequence; the central processing unit obtains the estimated silkworm quantity corresponding to each sub-image block by utilizing a prestored silkworm quantity calculation model according to the first area and the third area corresponding to each sub-image block; and the central processing unit controls the mulberry feeder to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block.
The embodiment of the invention provides a silkworm monitoring system, which comprises a central processing unit, an image acquisition unit, a silkworm platform and a mulberry leaf feeding machine, wherein the image acquisition unit and the mulberry leaf feeding machine are respectively and electrically connected with the central processing unit, and the mulberry leaf feeding machine is installed adjacent to the silkworm platform; the image acquisition unit is used for acquiring first image information of one side of the silkworm platform, which holds the silkworm rearing, according to a preset time interval and transmitting the first image information to the central processing unit; the central processing unit is used for dividing the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one area on the silkworm platform; the central processing unit is further configured to process each sub-tile respectively to obtain a first area corresponding to a first color, a second area corresponding to a second color, and a third area corresponding to a third color in each sub-tile, where the first color, the second color, and the third color are stored in the central processing unit in advance, the first color corresponds to skin color of the silkworm, the second color corresponds to color of mulberry leaf, and the third color corresponds to color of silkworm eye; the central processing unit is further used for obtaining the residual proportion information of the mulberry leaves corresponding to each sub-image block by utilizing a pre-stored food Sang Moxing according to the first area and the second area corresponding to each sub-image block in sequence; the central processing unit is further used for obtaining estimated silkworm quantity corresponding to each sub-image block by utilizing a prestored silkworm quantity calculation model according to the first area and the third area corresponding to each sub-image block; the central processing unit is further used for controlling the mulberry feeder to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block.
Compared with the prior art, the silkworm treasures monitoring method and system provided by the invention have the advantages that the central processing unit divides the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one region on the silkworm bench, and the silkworm treasures in each region are analyzed and monitored. The central processing unit processes each sub-image block respectively to obtain mulberry leaf residual proportion information corresponding to the sub-image block and estimated silkworm quantity corresponding to the sub-image block; and controlling the mulberry feeder to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block. By monitoring silkworm treasures in each area of the silkworm table, a proper amount of mulberry leaves are timely supplied according to the monitoring result. Reduces the participation of manpower, saves the labor cost, can also care silkworm treasures in each area of the silkworm table, does not have the condition of forgetting to ignore, and achieves fine cultivation.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows one of schematic diagrams of a silkworm monitoring system according to a preferred embodiment of the present invention.
Fig. 2 shows a schematic structural diagram of a silkworm monitoring system according to a preferred embodiment of the present invention.
Fig. 3 is a schematic view of the mulberry feeder shown in fig. 1.
Fig. 4 shows a second schematic diagram of a silkworm monitoring system according to a preferred embodiment of the present invention.
Fig. 5 shows one of the step flowcharts of a silkworm monitoring method according to the preferred embodiment of the present invention.
Fig. 6 is a flow chart of the substeps of step S106 in fig. 5.
Fig. 7 shows a second flowchart of steps of a silkworm monitoring method according to a preferred embodiment of the present invention.
Fig. 8 shows a third flowchart of steps of a silkworm monitoring method according to the preferred embodiment of the present invention.
Icon: 100-silkworm monitoring system; 10-a central processing unit; 20-an image acquisition unit; 30-mounting frame; 40-silkworm table; 50-feeding a mulberry leaf machine; 51-an identification unit; 52-a memory; 53-a controller; 54-mulberry leaf outlet; a 60-communication unit; 70-sterilizing machine; 80-rotating a motor; 90-temperature sensor; 110-a humidity sensor; 120-temperature controller; 130-humidity controller; 140-a light sensor; 150-an alarm unit.
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. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
First embodiment
Referring to fig. 1 and 2, fig. 1 shows a silkworm monitoring system 100 according to an embodiment of the invention. The silkworm monitoring system 100 comprises a central processing unit 10, an image acquisition unit 20, a mounting frame 30, a silkworm platform 40 and a mulberry leaf feeding machine 50. As shown in fig. 1, the image acquisition unit 20 and the mulberry leaf feeding machine 50 are respectively electrically connected with the cpu 10. As shown in fig. 2, the mounting frame 30 is disposed adjacent to the silkworm table 40, and the image collection unit 20 is disposed on the mounting frame 30 such that the image collection unit 20 faces a side of the silkworm table 40 where the silkworm rearing device is placed.
The image acquisition unit 20 may comprise a main camera (e.g. a fish eye camera). The lens of the main camera faces to the side of the silkworm platform 40 where the silkworm rearing device is placed so as to collect images of the side of the silkworm platform 40 where the silkworm rearing device is placed. The area of the silkworm table 40 may be divided in advance and the corresponding area information may be inputted to the central processor 10. As an embodiment, the main camera may be slidably connected to the mounting frame 30. Optionally, the main camera is slidably connected to the mounting frame 30 through a motor (not shown), the motor is electrically connected to the central processor 10, and the motor is used for driving the main camera to move relative to the mounting frame 30 according to a received instruction of the central processor 10, so that the main camera moves to a first position, and the whole image information of one side of the silkworm table 40 containing the silkworm rearing device is collected and fed back to the central processor 10, namely the first image information; and can be moved to a second position opposite to the designated area under the control of the central processing unit 10 to collect image information of the designated area on the silkworm platform 40, i.e., second image information.
As another embodiment, the image acquisition unit 20 may further include a plurality of sub cameras. One sub-camera corresponds to one region. The sub-cameras and the main camera are both fixed on the mounting frame 30, and the main camera is mounted at the first position, and is used for acquiring first image information according to a preset time interval and feeding back the first image information to the central processing unit 10. The sub cameras are respectively arranged at second positions opposite to the corresponding areas and are used for collecting second image information of the corresponding areas.
When the central processing unit 10 receives the first image data acquired by the image acquisition unit 20, image processing is performed on the first image data to obtain estimated silkworm larva quantity and mulberry leaf residual proportion information corresponding to each area.
Specifically, the central processing unit 10 divides the first image data into a plurality of sub-blocks according to the region information inputted in advance. It should be noted that each of the sub-blocks corresponds to an area on a silkworm table 40.
Further, the cpu 10 processes each of the sub-tiles to obtain a first area corresponding to the first color, a second area corresponding to the second color, and a third area corresponding to the third color in each of the sub-tiles. The first color, the second color and the third color are stored in the cpu 10 in advance, the first color corresponds to the skin color of the silkworm, the second color corresponds to the color of the mulberry leaf (for example, green), and the third color corresponds to the color of the silkworm eye (for example, gray). The first color, the second color, and the third color corresponding to the feeding of the silkworm rearing at different ages may be different. For example, the first color of the 1-year-old silkworm is black, and the first color of the 3-year-old silkworm is white. Before the system operates, the corresponding first color, second color and third color can be selected according to the silkworm age of the raised silkworms. Specifically, the first pixel point of RGB with the RGB value of the first color, the second pixel point of RGB with the second color, and the third pixel point of RGB with the third color may be respectively screened from the first image data, and the corresponding first area, second area, and third area may be obtained according to the number of the first pixel points, the number of the second pixel points, and the number of the third pixel points.
The central processing unit 10 obtains the residual proportion information of the mulberry leaves corresponding to each sub-image block by using the pre-stored food Sang Moxing according to the first area and the second area corresponding to each sub-image block in sequence. As an embodiment, the mulberry feeding model may be a correspondence model established according to a correspondence relationship between a ratio between a first area and a second area obtained by a plurality of tests and actual mulberry leaf remaining ratio information.
The central processing unit 10 obtains the estimated silkworm treasures corresponding to each sub-image block by using a prestored silkworm treasures quantity calculation model according to the first area and the third area corresponding to each sub-image block in sequence. As an embodiment, the silkworm treasures number calculation model may be a correspondence model established according to a correspondence relationship between a ratio between the first area and the third area obtained by a plurality of tests and more than the actual silkworm treasures number.
The central processing unit 10 controls the mulberry feeder 50 to perform mulberry She Gonggei on the corresponding area on the silkworm platform 40 according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block. Optionally, the central processing unit 10 generates a new feeding rate Sang Liang of the corresponding area according to the residual ratio information of the mulberry leaves and the estimated silkworm quantity, and sends the generated new feeding rate and area information to the mulberry feeder 50 to replace the feeding rate Sang Liang of the original corresponding area of the mulberry feeder 50, so that when the mulberry feeder 50 executes the mulberry leaf feeding operation next time, the mulberry She Gonggei is performed to the corresponding area according to the replaced new feeding rate.
Optionally, the central processing unit 10 stores a plurality of silkworm treasures number thresholds, and a plurality of first thresholds and a plurality of second thresholds corresponding to the plurality of silkworm treasures number thresholds. The first threshold and the plurality of second thresholds are all preset residual mulberry leaf thresholds, and the first threshold is smaller than the second threshold. The first threshold and the second threshold are different according to different numbers of silkworm treasures. When the residual proportion information of the mulberry leaves is lower than the first threshold value, the corresponding area is insufficient, and when the residual proportion information of the mulberry leaves exceeds the second threshold value, the corresponding area is too much mulberry She Shengyu.
Specifically, the cpu 10 searches for a silkworm treasures number threshold corresponding to the estimated silkworm treasures number, and it should be noted that the silkworm treasures number threshold corresponding to the estimated silkworm treasures number may be the largest of all silkworm treasures number thresholds smaller than the estimated silkworm treasures number, for example, the silkworm treasures number threshold includes 10, 20 and 30, and when the estimated silkworm treasures number is 25, the corresponding silkworm treasures number threshold is 20; and acquiring the corresponding first threshold and second threshold according to the silkworm treasures quantity threshold. And comparing the mulberry leaf residual proportion information with the obtained first threshold value and the obtained second threshold value. When the obtained residual proportion information of the mulberry leaves is lower than the first threshold value, the central processing unit 10 obtains a corresponding donor Sang Liang of the area from the donor mulberry 50; the central processing unit 10 generates a first mulberry leaf feeding amount according to the mulberry leaf feeding amount, the mulberry leaf remaining proportion information and a first threshold value, and the central processing unit 10 replaces the corresponding mulberry leaf feeding Sang Liang set by the mulberry leaf feeding machine 50 and corresponding to the area information with the first mulberry leaf feeding amount, so that the mulberry leaf is fed to the corresponding area according to the first mulberry leaf feeding amount when the mulberry leaf feeding machine 50 feeds the mulberry leaf next time. When the obtained mulberry leaf remaining proportion information exceeds a preset second threshold value, the central processing unit 10 obtains the set mulberry leaf feeding amount corresponding to the area information from the mulberry leaf feeding machine 50. Comparing the feed Sang Liang with a preset standard feed amount; if the mulberry leaf feeding amount exceeds the standard mulberry leaf feeding amount, the central processing unit 10 generates a second mulberry leaf feeding amount according to the mulberry leaf feeding amount, the residual proportion information of the mulberry leaves and a second threshold value. The central processing unit 10 replaces the second supply Sang Liang with the supply Sang Liang corresponding to the area information set in the mulberry leaf supply machine 50, so that the mulberry leaf supply machine 50 supplies mulberry leaves to the corresponding area according to the second mulberry leaf supply amount.
As shown in fig. 3, the mulberry feeder 50 includes an identification unit 51, a memory 52, and a controller 53. The silkworm table 40 is provided with an identification code (e.g., a bar code or a two-dimensional code) for each region. The identification code corresponds to the region information corresponding to the region. The identification unit 51 is disposed at the mulberry leaf outlet 54 of the mulberry leaf feeding machine 50, and when the mulberry leaf outlet 54 moves to an area opposite to the silkworm table 40, the identification unit 51 may be exactly opposite to the identification code of the area, so that the identification unit 51 may identify the identification code of the area to obtain the area information corresponding to the identification code. The identification unit 51, the memory 52 and the mulberry leaf outlet 54 are all electrically connected to the controller 53, and the memory 52 receives and stores the new mulberry leaf amount corresponding to the area information and the new mulberry leaf amount Sang Liang and the corresponding area information sent by the central processing unit 10. When the identification unit 51 identifies the area information according to the identification code, the area information is fed back to the controller 53, and the controller 53 searches the corresponding feed Sang Liang from the memory 52 according to the area information identified by the identification unit 51 and controls the mulberry leaf feeding amount of the mulberry leaf outlet 54 according to the searched feed amount.
The silkworm monitoring system 100 further comprises a communication unit 60, and the communication unit 60 is electrically connected with the central processing unit 10. The central processing unit 10 acquires the corresponding give Sang Liang of each area from the memory 52 of the give mulberry 50; when the residual ratio information of the mulberry leaves generated by the central processing unit 10 exceeds a preset second threshold value and the original mulberry leaf feeding amount obtained from the memory 52 is lower than a preset standard mulberry leaf feeding amount, the central processing unit 10 controls the image acquisition unit 20 to acquire second image information of the corresponding area.
The central processing unit 10 recognizes the second image information using a deep learning algorithm to determine whether or not the silkworm treasures appearing in the second image information are normal. When the recognition result is abnormal (for example, it is recognized whether or not a black spot appears on the silkworm body surface or a purulent trace appears), the central processor 10 controls the communication unit 60 to transmit alarm information to a management terminal designated in advance, and transmits the second image information to a management terminal communicatively connected to the silkworm body monitoring system 100 through the communication unit 60.
The silkworm monitoring system 100 further comprises a sterilizer 70 and a rotating motor 80, wherein the rotating motor 80 is arranged adjacent to the silkworm platform 40. The rotation shaft of the rotation motor 80 faces to one side of the silkworm table 40 where the silkworm rearing is placed. The sterilizer 70 is connected to one end of the rotating shaft of the rotating motor 80 away from the silkworm platform 40, and the sterilizer 70 is positioned between the silkworm platform 40 and the image acquisition unit 20. The sterilizer 70 may be rotated by the rotation motor 80. The sterilizer 70 and the rotary motor 80 are electrically connected with the cpu 10. The central processing unit 10 controls the rotation motor 80 to drive the sterilizer 70 to rotate to be opposite to the silkworm table 40 according to the residual proportion information of the mulberry leaves, and controls the working state of the sterilizer 70. Optionally, the sterilizer 70 includes a plurality of sterilizing powder nozzles, one of which corresponds to one of the regions when the sterilizer 70 is rotated to be opposite to the silkworm eggs 40. The disinfection powder nozzles are electrically connected with the central processing unit 10, and the central processing unit 10 controls the working state of each disinfection powder nozzle according to the residual proportion information of the mulberry leaves. Specifically, when the residual ratio information of the mulberry leaves generated by the central processing unit 10 exceeds a preset second threshold value and the corresponding mulberry leaf feeding amount is lower than a preset standard mulberry leaf feeding amount, the central processing unit 10 controls the corresponding disinfection powder nozzle to start working so as to disinfect the corresponding area.
As shown in fig. 4, the silkworm monitoring system 100 further includes a temperature sensor 90, a humidity sensor 110, a temperature controller 120, and a humidity controller 130. The temperature sensor 90, the humidity sensor 110, the temperature controller 120 and the humidity controller 130 are electrically connected to the cpu 10, respectively. The temperature sensor 90 collects temperature information in the environment of the silkworm platform 40 and transmits the temperature information to the central processor 10. The humidity sensor 110 collects the humidity information in the environment where the silkworm platform 40 is located, and sends the humidity information to the central processing unit 10. The central processing unit 10 controls the working states of the temperature controller 120 and the humidity controller 130 according to the temperature information and the humidity information. Alternatively, the temperature controller 120 may be an air conditioning apparatus. Further, the silkworm monitoring system 100 further includes a light sensor 140 and a multi-stage adjusting illumination device, wherein the light sensor 140 is disposed on the silkworm platform 40, and the illumination device faces the silkworm platform 40. The light sensor 140 is electrically connected with the illumination device and the central processing unit 10, the light sensor 140 is used for detecting the illumination intensity of the environment where the silkworm platform 40 is located, and when the illumination intensity is different from the preset ideal illumination, the central processing unit 10 controls the illumination device to perform gear adjustment, so as to adjust the illumination intensity of the environment where the silkworm platform 40 is located to be close to the ideal illumination.
Further, the silkworm monitoring system 100 further includes an alarm unit 150. The alarm unit 150 is electrically connected with the central processing unit 10, and the alarm unit 150 alarms when the central processing unit 10 does not receive the temperature information in a preset temperature interval within a preset time; the central processing unit 10 performs an alarm by the alarm unit 150 when none of the received humidity information is within a preset humidity range within the preset time. The central processing unit 10 performs an alarm by the alarm unit 150 when none of the received humidity information is within a preset humidity range within the preset time. The central processing unit 10 alarms the alarm unit 150 when the received errors between the illumination intensity and the ideal illumination exceed the preset error threshold value within the preset time.
Second embodiment
Referring to fig. 5, fig. 5 is a flowchart illustrating steps of a silkworm monitoring method according to an embodiment of the present invention. The method is applied to the silkworm baby monitoring system 100 in the first embodiment. As shown in fig. 5, the method comprises the steps of:
in step S101, the image acquisition unit 20 acquires first image information of the side of the silkworm platform 40 where the silkworm reares are placed according to a preset time interval, and transmits the first image information to the central processing unit 10.
In step S102, the cpu 10 divides the first image information into a plurality of sub-blocks, wherein one of the sub-blocks corresponds to an area on the silkworm table 40.
In the present embodiment, the area of the silkworm table 40 may be divided in advance and the corresponding area information may be input to the central processor 10. The central processing unit 10 partitions the first image information according to the area information to generate a plurality of sub-blocks, and each sub-block corresponds to an area.
In step S103, the central processing unit 10 processes each of the sub-tiles respectively to obtain a first area corresponding to the first color, a second area corresponding to the second color, and a third area corresponding to the third color in each of the sub-tiles.
In this embodiment, the first color, the second color, and the third color are stored in the cpu 10 in advance, where the first color corresponds to the skin color of the silkworm, the second color corresponds to the color of the mulberry leaf, and the third color corresponds to the color of the silkworm eye. The first color, the second color and the third color are different according to different silkworm ages. Before the system operates, the corresponding first color, second color and third color can be selected according to the silkworm age of the raised silkworms. Specifically, the first pixel point of RGB with the RGB value of the first color, the second pixel point of RGB with the second color, and the third pixel point of RGB with the third color may be respectively screened from the first image data, and the corresponding first area, second area, and third area may be obtained according to the number of the first pixel points, the number of the second pixel points, and the number of the third pixel points.
In step S104, the central processing unit 10 obtains the residual proportion information of the mulberry leaf corresponding to each sub-block by using the pre-stored food Sang Moxing according to the first area and the second area corresponding to each sub-block.
As an embodiment, the mulberry feeding model may be a correspondence model established according to a correspondence relationship between a ratio between a first area and a second area obtained by a plurality of tests and actual mulberry leaf remaining ratio information.
In step S105, the central processing unit 10 sequentially obtains the estimated silkworm number corresponding to each sub-block according to the first area and the third area corresponding to each sub-block by using a prestored silkworm number calculation model.
As an embodiment, the silkworm treasures number calculation model may be a correspondence model established according to a correspondence relationship between a ratio between the first area and the third area obtained by a plurality of tests and more than the actual silkworm treasures number.
In step S106, the central processing unit 10 controls the mulberry feeder 50 to perform mulberry She Gonggei on the corresponding area on the silkworm platform 40 according to the mulberry leaf remaining proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block.
In this embodiment, as shown in fig. 6, step S106 may include the following sub-steps:
in sub-step S1061, the cpu 10 searches for a threshold value of the silkworm number corresponding to the estimated silkworm number, so as to obtain the first threshold value and the second threshold value according to the threshold value of the silkworm number.
Substep S1062, compares the mulberry leaf residual proportion information with a first threshold and a second threshold.
In this embodiment, when the obtained mulberry leaf residual ratio information is lower than the first threshold, the flow proceeds to sub-step S1063, and when the obtained mulberry leaf residual ratio information exceeds a preset second threshold, the flow proceeds to sub-step S1066.
In sub-step S1063, the cpu 10 acquires the mulberry feed amount corresponding to the area information set in the mulberry feed machine 50.
In sub-step S1064, the cpu 10 generates a first mulberry leaf feeding amount according to the mulberry leaf feeding amount, the residual proportion information of the mulberry leaf, and a first threshold value.
In sub-step S1065, the central processing unit 10 replaces the first mulberry leaf feeding amount with the corresponding mulberry leaf feeding amount Sang Liang set in the mulberry leaf feeding machine 50 and corresponding to the area information, so that the mulberry leaf feeding machine 50 feeds mulberry leaves to the corresponding area according to the first mulberry leaf feeding amount.
In sub-step S1066, the cpu 10 acquires the mulberry feed amount corresponding to the area information set in the mulberry feed machine 50.
Sub-step S1067, compares said feed Sang Liang with a preset standard feed amount.
Sub-step S1068, if the mulberry leaf feeding amount exceeds the standard mulberry leaf feeding amount, the cpu 10 generates a second mulberry leaf feeding amount according to the mulberry leaf feeding amount, the mulberry leaf remaining proportion information, and a second threshold.
In sub-step S1069, the central processing unit 10 replaces the second supply Sang Liang with the supply Sang Liang corresponding to the area information set in the mulberry leaf supply machine 50, so that the mulberry leaf supply machine 50 delivers mulberry leaves to the corresponding area according to the second mulberry leaf supply amount.
It should be noted that, as shown in fig. 7, when the obtained mulberry leaf remaining proportion information exceeds the corresponding second threshold value, and the mulberry leaf feeding amount corresponding to the area information set in the mulberry leaf feeding machine 50 is lower than the standard mulberry leaf feeding amount, the method further includes the following steps:
in step S201, the central processing unit 10 controls the image acquisition unit 20 to acquire second image information corresponding to the region on the silkworm platform 40 according to the region information.
In step S202, the image capturing unit 20 sends the second image information to the central processing unit 10.
In step S203, the central processor 10 identifies the second image information by using a deep learning algorithm to determine whether the silkworm treasures appearing in the second image information are normal.
In step S204, when the identification result is abnormal, the central processor 10 controls the communication unit 60 to transmit alarm information to a management terminal designated in advance.
In step S205, the cpu 10 controls the sterilizer 70 to sterilize the silkworm eggs 40.
In this embodiment, the central processing unit 10 controls the sterilizer 70 to sterilize the corresponding area on the silkworm platform 40 according to the area information corresponding to the second image information showing the abnormality of the silkworm eggs.
Referring to fig. 8, the method further includes the steps of:
in step S301, the temperature sensor 90 collects temperature information in the environment where the silkworm platform 40 is located, and sends the temperature information to the cpu 10.
In step S302, the humidity sensor 110 collects the humidity information in the environment where the silkworm platform 40 is located, and sends the humidity information to the cpu 10.
In step S303, the cpu 10 controls the operating states of the temperature controller 120 and the humidity controller 130 according to the temperature information and the humidity information.
In this embodiment, when the central processing unit 10 does not receive the temperature within the preset temperature interval within the preset time, the alarm unit 150 alarms; when the humidity received by the cpu 10 is not within the preset humidity range within the preset time, the alarm unit 150 alarms.
In summary, the embodiment of the invention provides a silkworm monitoring method and a silkworm monitoring system. The method is applied to the silkworm monitoring system, the silkworm monitoring system comprises a central processing unit, an image acquisition unit, a silkworm platform and a mulberry leaf feeding machine, the image acquisition unit and the mulberry leaf feeding machine are respectively and electrically connected with the central processing unit, and the method comprises the following steps: the image acquisition unit acquires first image information of one side of the silkworm platform, which holds the silkworm reares, according to a preset time interval and transmits the first image information to the central processing unit; the central processing unit divides the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one area on the silkworm platform; the central processing unit processes each sub-image block respectively to obtain a first area corresponding to a first color, a second area corresponding to a second color and a third area corresponding to a third color in each sub-image block, wherein the first color, the second color and the third color are stored in the central processing unit in advance, the first color corresponds to the skin color of the silkworm, the second color corresponds to the color of the mulberry leaf, and the third color corresponds to the color of the silkworm eye; the central processing unit obtains the mulberry leaf residual proportion information corresponding to each sub-image block by utilizing a prestored food Sang Moxing according to the first area and the second area corresponding to each sub-image block in sequence; the central processing unit obtains the estimated silkworm quantity corresponding to each sub-image block by utilizing a prestored silkworm quantity calculation model according to the first area and the third area corresponding to each sub-image block; and the central processing unit controls the mulberry feeder to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block. Reduces the participation of manpower, saves the labor cost, can also care silkworm treasures in each area of the silkworm table, does not have the condition of forgetting to ignore, and achieves fine cultivation.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners as well. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present invention may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
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. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. 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. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a silkworm treasures monitoring method which is characterized in that is applied to silkworm treasures monitored control system, silkworm treasures monitored control system includes central processing unit, image acquisition unit, silkworm platform and give the mulberry leaf machine, image acquisition unit and give the mulberry leaf machine respectively with central processing unit electric connection, the method includes:
The image acquisition unit acquires first image information of one side of the silkworm platform, which holds the silkworm reares, according to a preset time interval and transmits the first image information to the central processing unit;
the central processing unit divides the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one area on the silkworm platform;
the central processing unit processes each sub-image block respectively to obtain a first area corresponding to a first color, a second area corresponding to a second color and a third area corresponding to a third color in each sub-image block, wherein the first color, the second color and the third color are stored in the central processing unit in advance, the first color corresponds to the skin color of the silkworm, the second color corresponds to the color of the mulberry leaf, and the third color corresponds to the color of the silkworm eye;
the central processing unit obtains the mulberry leaf residual proportion information corresponding to each sub-image block by utilizing a prestored food Sang Moxing according to the first area and the second area corresponding to each sub-image block in sequence;
the central processing unit obtains the estimated silkworm quantity corresponding to each sub-image block by utilizing a prestored silkworm quantity calculation model according to the first area and the third area corresponding to each sub-image block;
And the central processing unit controls the mulberry feeder to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block.
2. The method of claim 1, wherein the central processing unit stores a plurality of silkworm treasures quantity thresholds and corresponding first thresholds, and the central processing unit controls the working state of the mulberry feeder according to the mulberry leaf residual proportion information, the estimated silkworm treasures quantity and the area information corresponding to each sub-image block, the steps comprising:
the central processing unit searches a silkworm quantity threshold value corresponding to the estimated silkworm quantity;
acquiring the corresponding first threshold according to the silkworm treasures quantity threshold;
when the obtained mulberry leaf residual proportion information is lower than the first threshold value, the central processing unit obtains a corresponding donor Sang Liang which is arranged in the mulberry leaf feeding machine and corresponds to the area information;
the central processing unit generates a first mulberry leaf feeding amount according to the mulberry leaf feeding amount, the residual proportion information of the mulberry leaves and a first threshold value;
and the central processing unit replaces Sang Liang, corresponding to the regional information, arranged in the mulberry leaf feeding machine with the first mulberry leaf feeding amount, so that the mulberry leaf feeding machine feeds mulberry leaves to the corresponding region according to the first mulberry leaf feeding amount.
3. The method of claim 2, wherein a second threshold corresponding to the silkworm treasures number threshold is stored in the central processing unit, the second threshold is greater than the first threshold, and the step of controlling the working state of the mulberry feeder by the central processing unit according to the mulberry leaf residual proportion information, the estimated silkworm treasures number and the regional information corresponding to each sub-image block further comprises:
the central processing unit searches a silkworm quantity threshold value corresponding to the estimated silkworm quantity;
acquiring a corresponding second threshold according to the silkworm treasures quantity threshold;
when the obtained mulberry leaf residual proportion information exceeds a preset second threshold value, the central processing unit obtains a corresponding donor Sang Liang which is arranged in the mulberry leaf feeding machine and corresponds to the area information;
comparing the feed Sang Liang with a preset standard feed amount;
if the mulberry leaf feeding amount exceeds the standard mulberry leaf feeding amount, the central processing unit generates a second feed Sang Liang according to the mulberry leaf feeding amount, the residual proportion information of the mulberry leaves and a second threshold;
and the central processing unit replaces the second feeding unit Sang Liang with the feeding unit Sang Liang which is arranged in the mulberry feeding machine and corresponds to the area information, so that the mulberry feeding machine feeds mulberry leaves to the corresponding area according to the second mulberry feeding amount.
4. The method of claim 3, wherein the system further comprises a communication unit electrically connected to the central processor, the method further comprising:
when the obtained mulberry leaf residual proportion information exceeds the corresponding second threshold value and the mulberry leaf feeding amount corresponding to the area information and arranged in the mulberry leaf feeding machine is lower than the standard mulberry leaf feeding amount, the central processor controls the image acquisition unit to acquire second image information corresponding to the area on the silkworm platform according to the area information;
the image acquisition unit sends the second image information to the central processing unit;
the central processing unit utilizes a deep learning algorithm to identify the second image information so as to determine whether silkworm treasures appearing in the second image information are normal or not;
when the identification result is abnormal, the central processing unit controls the communication unit to send alarm information to a preassigned management terminal.
5. The method of claim 4, wherein the system further comprises a sterilizer, the sterilizer being electrically connected to the central processor, the central processor controlling the communication unit to transmit alarm information to a pre-designated management terminal, the method further comprising:
The central processing unit controls the sterilizer to sterilize the silkworm table.
6. The method of claim 5, wherein the central processing unit controlling the sterilizer to sterilize the silkworm platform comprises:
and the central processing unit controls the sterilizer to sterilize the corresponding area on the silkworm platform according to the area information.
7. The method of claim 1, wherein the system further comprises a temperature sensor, a humidity sensor, a temperature controller, and a humidity controller, each of which is electrically connected to the central processor, the method further comprising:
the temperature sensor collects temperature information in the environment where the silkworm platform is located and sends the temperature information to the central processing unit;
the humidity sensor collects humidity information in the environment where the silkworm platform is located and sends the humidity information to the central processing unit;
and the central processing unit respectively controls the working states of the temperature controller and the humidity controller according to the temperature information and the humidity information.
8. The method of claim 7, wherein the system further comprises an alarm unit electrically connected to the central processor, the method further comprising:
When the central processing unit is in a preset time and the received temperature is not in a preset temperature interval, the alarm unit alarms;
and when the central processing unit is in the preset time and the received humidity is not in the preset humidity interval, the alarm unit alarms.
9. The silkworm monitoring system is characterized by comprising a central processing unit, an image acquisition unit, a silkworm platform and a mulberry leaf feeding machine, wherein the image acquisition unit and the mulberry leaf feeding machine are respectively and electrically connected with the central processing unit, and the mulberry leaf feeding machine is installed adjacent to the silkworm platform;
the image acquisition unit is used for acquiring first image information of one side of the silkworm platform, which holds the silkworm rearing, according to a preset time interval and transmitting the first image information to the central processing unit;
the central processing unit is used for dividing the first image information into a plurality of sub-image blocks, wherein one sub-image block corresponds to one area on the silkworm platform;
the central processing unit is further configured to process each sub-tile respectively to obtain a first area corresponding to a first color, a second area corresponding to a second color, and a third area corresponding to a third color in each sub-tile, where the first color, the second color, and the third color are stored in the central processing unit in advance, the first color corresponds to skin color of the silkworm, the second color corresponds to color of mulberry leaf, and the third color corresponds to color of silkworm eye;
The central processing unit is further used for obtaining the residual proportion information of the mulberry leaves corresponding to each sub-image block by utilizing a pre-stored food Sang Moxing according to the first area and the second area corresponding to each sub-image block in sequence;
the central processing unit is further used for obtaining estimated silkworm quantity corresponding to each sub-image block by utilizing a prestored silkworm quantity calculation model according to the first area and the third area corresponding to each sub-image block;
the central processing unit is further used for controlling the mulberry feeder to perform mulberry She Gonggei on the corresponding area on the silkworm platform according to the mulberry leaf residual proportion information, the estimated silkworm quantity and the area information corresponding to each sub-image block.
10. The system of claim 9, wherein the central processing unit stores a plurality of silkworm treasures quantity thresholds and corresponding first thresholds, and the central processing unit performs the mode of controlling the working state of the mulberry feeder according to the residual proportion information, the estimated silkworm treasures quantity and the area information of the mulberry leaves corresponding to each sub-image block, and the mode comprises the following steps:
the central processing unit searches a silkworm quantity threshold value corresponding to the estimated silkworm quantity;
Acquiring the corresponding first threshold according to the silkworm treasures quantity threshold;
when the obtained mulberry leaf residual proportion information is lower than the first threshold value, the central processing unit obtains a corresponding donor Sang Liang which is arranged in the mulberry leaf feeding machine and corresponds to the area information;
the central processing unit generates a first mulberry leaf feeding amount according to the mulberry leaf feeding amount, the residual proportion information of the mulberry leaves and a first threshold value;
and the central processing unit replaces Sang Liang, corresponding to the area information, set in the mulberry feeder with the first mulberry feeding amount, so that the mulberry feeder can throw mulberry leaves into the corresponding area according to the first mulberry feeding amount.
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| CN118247643B (en) * | 2024-05-28 | 2024-08-09 | 四川省农业机械科学研究院 | Weeding monitoring and evaluating method and system based on unmanned aerial vehicle |
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