Three-dimensional monitoring and early warning device and method for river crab culture environment

Abstract

The invention relates to the field of river crab breeding management, and particularly discloses a river crab breeding environment three-dimensional monitoring and early warning device and method. An environment monitoring controller receives environment parameters collected by an environment parameter collector, underwater images collected by an underwater camera and overwater images collected by an overwater camera; the environment parameters, the underwater images and the overwater images are transmitted to the industrial internet early warning platform for analysis, and when the environment parameters, the underwater images or the overwater images are abnormal, the environment monitoring controller controls the alarm to give an alarm. Comprehensive real-time monitoring and early warning of the aquatic plant state and the pond water environment are achieved, the breeding environment change is effectively prevented, and the management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of river crab breeding management, and in particular to a three-dimensional monitoring and early warning device and method for a river crab breeding environment. Background Art

[0002] River crab farming adopts a separate pond farming model. Key factors such as the growth status of aquatic plants in the breeding ponds, dissolved oxygen content, ammonia nitrogen content, water temperature, pH value, chlorophyll content, etc. play an extremely important role in maintaining and improving the breeding environment. In order to understand and control the breeding environment more accurately and comprehensively, it is necessary to quickly realize unified collection and unified control of data.

[0003] At present, most breeding bases are under manual supervision. As the bases are generally large in area, it is difficult to guarantee the frequency and efficiency of pond inspections. In this process, a lot of manpower, material resources and energy are consumed, and the comprehensive supervision efficiency is low. In addition, the existing various types of aquaculture IoT devices can only capture single IoT data, making it difficult to conveniently realize integrated monitoring and rapid comprehensive analysis of changes in the aquaculture environment, and it is difficult to form an effective and unified supervision and early warning mechanism, which affects the supervision efficiency. Summary of the invention

[0004] To solve the above problems, the present invention provides a three-dimensional monitoring and early warning device and method for a river crab breeding environment, which can realize comprehensive real-time monitoring and early warning of aquatic plant status and pond water environment, effectively prevent changes in the breeding environment, and improve management efficiency.

[0005] In a first aspect, the technical solution of the present invention provides a three-dimensional monitoring and early warning device for river crab breeding environment, comprising a vertical pole, a horizontal pole is arranged on the vertical pole, a first vertical pole and a second vertical pole are arranged on the horizontal pole, a floating box is arranged at the bottom end of the first vertical pole, an underwater camera and a plurality of environmental parameter collectors are arranged in the floating box, and an above-water camera is arranged on the second vertical pole; An environmental monitoring controller and an alarm are also provided on the pole. The environmental parameter collector, underwater camera, above-water camera and alarm are electrically connected to the environmental monitoring controller respectively. The environmental monitoring controller communicates wirelessly with the industrial Internet early warning platform. The environmental monitoring controller receives the environmental parameters collected by the environmental parameter collector, the underwater images collected by the underwater camera and the above-water images collected by the above-water camera, and transmits the environmental parameters, underwater images and above-water images to the industrial Internet early warning platform for analysis. When the environmental parameters, underwater images or above-water images are abnormal, the alarm is controlled by the environmental monitoring controller to sound an alarm.

[0006] In an optional embodiment, the environmental parameter collector includes a temperature sensor, an ammonia nitrogen sensor, a dissolved oxygen sensor, a pH sensor, and a chlorophyll sensor.

[0007] In an optional embodiment, the crossbar is connected to the column via a first telescopic rod.

[0008] In an optional embodiment, the first vertical rod is connected to the cross rod through a second telescopic rod.

[0009] In an optional embodiment, a first solar panel is arranged on the vertical pole, and the first solar panel supplies power to the environmental monitoring controller, the alarm, and the underwater camera; a second solar panel is arranged on the top of the floating box, and the second solar panel supplies power to the environmental parameter collector and the underwater camera.

[0010] In an optional implementation, the industrial Internet early warning platform transmits the alarm information to the user terminal.

[0011] In a second aspect, the technical solution of the present invention provides a three-dimensional monitoring and early warning method for a river crab breeding environment, which is implemented based on any of the above-mentioned devices and includes the following steps: The environmental parameter collector collects environmental parameters of the monitoring area and transmits the environmental parameters to the environmental monitoring controller; The underwater camera collects underwater images of the monitoring area and transmits the underwater images to the environment monitoring controller; The water camera collects water images of the monitoring area and transmits the water images to the environment monitoring controller; The environmental monitoring controller transmits environmental parameters, underwater images, and surface images to the Industrial Internet early warning platform; The Industrial Internet early warning platform analyzes environmental parameters, underwater images, and surface images. When environmental parameters, underwater images, or surface images are abnormal, the environmental monitoring controller controls the alarm to sound an alarm.

[0012] In an optional implementation, the industrial Internet early warning platform analyzes environmental parameters, and when environmental parameters are abnormal, the environmental monitoring controller controls the alarm to sound an alarm, specifically including: Configure the environmental parameter threshold range, the environmental parameters include temperature, ammonia nitrogen content, dissolved oxygen content, pH value, chlorophyll concentration; The actual value of the received environmental parameter is compared with the corresponding threshold range. If the actual value is not within the threshold range, the environmental parameter is judged to be abnormal, and the environmental parameter abnormality alarm information is sent to the environmental monitoring controller, and the environmental monitoring controller controls the alarm to sound an alarm.

[0013] In an optional implementation, the industrial Internet early warning platform analyzes the underwater image, and when the underwater image is abnormal, the environmental monitoring controller controls the alarm to sound an alarm, specifically including: Preprocess the underwater images, including denoising and contrast enhancement; The pre-processed underwater image is processed by edge detection technology to obtain the underwater waterweed contour, and the underwater waterweed contour is described by shape descriptors to obtain the morphological characteristics of the waterweed; Divide the underwater water grass area based on the water grass outline, extract the color characteristics of the underwater water grass area, and obtain the water grass color characteristics; The texture features of the underwater water grass area are extracted by using the local binary pattern to obtain the water grass texture features; Inputting the waterweed morphological features, waterweed color features, and waterweed texture features into a pre-constructed waterweed growth state classification model to obtain a waterweed growth state classification result; the waterweed growth state classification result includes healthy, sub-healthy, and withered; If the classification result of the growth status of the aquatic plants is sub-healthy or withered, the abnormal growth status alarm information of the aquatic plants is sent to the environmental monitoring controller, and the environmental monitoring controller controls the alarm to sound an alarm.

[0014] In an optional implementation, the industrial Internet early warning platform analyzes the water image, and when the water image is abnormal, the environmental monitoring controller controls the alarm to sound an alarm, specifically including: Preprocess the water image, including denoising, grayscale processing and contrast enhancement; The pre-processed water image is processed by edge detection technology to obtain the outline of water plants on the water; Segment the aquatic plant area on the water based on the contour of the aquatic plant; Perform pixel counting on the aquatic plant area above water to obtain the number of pixels in the aquatic plant area above water; According to the resolution and shooting angle of the water camera, the number of pixels in the water grass area is converted into the actual area value; Detect whether the actual area value is less than the area threshold. If not, send abnormal alarm information of aquatic plants occupying the pond area to the environmental monitoring controller, and the environmental monitoring controller controls the alarm to sound an alarm.

[0015] The three-dimensional monitoring and early warning device and method for river crab breeding environment provided by the present invention have the following beneficial effects compared with the prior art: a cross bar is arranged on the vertical pole, and the cross bar connects two vertical poles to connect the monitoring equipment, and the monitoring equipment includes an above-water camera, an underwater camera and multiple environmental parameter collectors. The monitored data is transmitted to the remote background in real time, and the remote background promptly issues a real-time early warning based on the actual monitoring value, so as to realize comprehensive real-time monitoring and early warning of the state of aquatic plants and the pond water environment, effectively prevent changes in the breeding environment, and improve management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural schematic diagram of a three-dimensional monitoring and early warning device for a river crab breeding environment provided by an embodiment of the present invention.

[0017] Figure 2 It is a flow chart of a three-dimensional monitoring and early warning method for a river crab breeding environment provided by an embodiment of the present invention.

[0018] In the figure, 1-the first solar panel, 2-the vertical pole, 3-the base, 4-the first telescopic member, 5-the cross bar, 6-the second telescopic member, 7-the first vertical pole, 8-the floating box, 9-the second solar panel, 10-the ammonia nitrogen sensor, 11-the dissolved oxygen sensor, 12-the pH value sensor, 13-the temperature sensor, 14-the chlorophyll sensor, 15-the underwater camera, 16-the second vertical pole, 17-the above-water camera, 18-the environmental monitoring controller, 19-the alarm, and 20-the pond. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0021] Figure 1 Schematic diagram of a three-dimensional monitoring and early warning device for river crab breeding environment provided by an embodiment of the present invention. Figure 1As shown, the device includes a column, which is fixed to the bottom of the pond 20 through a base 3. A crossbar 5 is arranged on the column, and two vertical bars are arranged on the crossbar 5, namely a first vertical bar 7 and a second vertical bar 16. To facilitate adjustment and adapt to different application environments, the crossbar 5 is connected to the column through a first telescopic rod 4, and the first vertical bar 7 is connected to the crossbar 5 through a second telescopic rod 6. Users can adjust the lengths of the crossbar 5 and the first vertical bar 7 according to specific application environment conditions. A floating box 8 is arranged at the bottom end of the first vertical bar 7, and an underwater camera 15 and several environmental parameter collectors are arranged in the floating box 8. To achieve comprehensive monitoring of the water environment of the pond 20, the environmental parameter collector includes a temperature sensor 13, an ammonia nitrogen sensor 10, a dissolved oxygen sensor 11, a pH value sensor 12, and a chlorophyll sensor 14, which realize real-time monitoring of temperature, ammonia nitrogen content, dissolved oxygen content, pH value, and chlorophyll concentration. The underwater camera 15 is a professional waterproof camera, which is placed in the hollow structure of the floating box 8. The camera is located at a suitable depth underwater (generally 10-15 cm below the water surface) and can be rotated horizontally to collect images of the growth status of water plants. The second vertical rod 16 is provided with an above-water camera 17, which can collect above-water images for timely analysis and calculation of the area value of the water plants occupying the pond 20.

[0022] An environment monitoring controller 18 and an alarm 19 are also provided on the pole 2. The environment parameter collector, the underwater camera 15, the above-water camera 17, and the alarm 19 are electrically connected to the environment monitoring controller 18, respectively. The environment monitoring controller 18 communicates wirelessly with the industrial Internet early warning platform. In this embodiment, two solar panels are provided to provide power supply, including a first solar panel 1 provided on the pole 2 and a second solar panel 9 provided on the top of the floating box 8. The first solar panel 1 supplies power to the environment monitoring controller 18, the alarm 19, and the above-water camera 17, and the second solar panel 9 supplies power to the environment parameter collector and the underwater camera 15.

[0023] The environmental monitoring controller 18 receives the environmental parameters collected by the environmental parameter collector, the underwater images collected by the underwater camera 15, and the surface images collected by the surface camera 17, and transmits the environmental parameters, underwater images, and surface images to the industrial Internet early warning platform. The industrial Internet early warning platform analyzes the environmental parameters, underwater images, and surface images. When the environmental parameters, underwater images, or surface images are abnormal, the environmental monitoring controller 18 controls the alarm 19 to sound an alarm. At the same time, the industrial Internet early warning platform transmits the alarm information to the user terminal, such as the PC terminal, mobile terminal, etc., and displays the early warning information. The user can intuitively view the environmental parameters, early warning information, etc. In an optional implementation, the industrial Internet early warning platform.

[0024] In this embodiment, each monitoring data is collected and uniformly transmitted to the Industrial Internet early warning platform through the environmental monitoring controller 18, and uniformly transmitted to the Industrial Internet early warning platform through wireless signals. The early warning platform sets refined monitoring and early warning thresholds respectively, and compares the data of various indicators. If it is determined that there is a risk, the early warning information is immediately generated, and the PC and mobile terminals are pushed and displayed, and the alarm 19 is sounded in time. The base owner can intuitively view the environmental parameters and early warning information. In an optional implementation, targeted solution suggestions are generated while generating the early warning information, and the targeted solution suggestions are pushed and displayed on the PC and mobile terminals. In an optional implementation, the environmental monitoring controller 18 monitors the working status of each device, and the Industrial Internet early warning platform pushes the working status of the equipment to the user.

[0025] The above describes in detail an embodiment of a three-dimensional monitoring and early warning device for a river crab breeding environment. Based on the three-dimensional monitoring and early warning device for a river crab breeding environment described in the above embodiment, an embodiment of the present invention also provides a three-dimensional monitoring and early warning method for a river crab breeding environment corresponding to the device.

[0026] Figure 2 FIG. 1 is a flow chart of a three-dimensional monitoring and early warning method for a river crab breeding environment provided by an embodiment of the present invention. Figure 2 As shown, the method includes the following steps.

[0027] S1, the environmental parameter collector collects environmental parameters of the monitoring area and transmits the environmental parameters to the environmental monitoring controller 18.

[0028] S2, the underwater camera 15 collects underwater images of the monitoring area and transmits the underwater images to the environment monitoring controller 18.

[0029] S3, the water camera 17 collects water images of the monitoring area and transmits the water images to the environment monitoring controller 18.

[0030] S4, the environmental monitoring controller 18 transmits the environmental parameters, underwater images, and surface images to the industrial Internet early warning platform.

[0031] S5, the industrial Internet early warning platform analyzes environmental parameters, underwater images, and surface images. When environmental parameters, underwater images, or surface images are abnormal, the environmental monitoring controller 18 controls the alarm 19 to sound an alarm.

[0032] In this embodiment, the industrial Internet early warning platform analyzes environmental parameters, underwater images, and surface images respectively. The analysis of environmental parameters realizes the monitoring of the water environment of pond 20, the analysis of underwater images realizes the monitoring of the growth status of underwater aquatic plants, and the analysis of surface images realizes the calculation of the area of ​​pond 20 occupied by aquatic plants.

[0033] In this embodiment, the environmental parameters collected by the environmental parameter collector include temperature, ammonia nitrogen content, dissolved oxygen content, pH value, and chlorophyll concentration, and environmental parameters and early warning are achieved through steps.

[0034] S511, configure the environmental parameter threshold range.

[0035] S512, compare the received actual value of the environmental parameter with the corresponding threshold range. If the actual value is not within the threshold range, the environmental parameter is judged to be abnormal, and the environmental parameter abnormality alarm information is sent to the environmental monitoring controller 18, and the environmental monitoring controller 18 controls the alarm 19 to sound an alarm.

[0036] It can be understood that the threshold range of environmental parameters includes the threshold range of various parameters such as temperature, ammonia nitrogen content, dissolved oxygen content, pH value, chlorophyll concentration, etc. The Industrial Internet early warning platform will compare the actual values ​​of each parameter collected with the corresponding configured threshold range. If it is not within the threshold range, it means that the environmental parameters are abnormal and timely warning is required.

[0037] This embodiment analyzes underwater images to obtain the growth status of aquatic plants and promptly issues warnings when growth is abnormal, specifically including the following steps.

[0038] S521, preprocessing the underwater image, including denoising and contrast enhancement.

[0039] S522, the pre-processed underwater image is processed by edge detection technology to obtain the underwater waterweed contour, and the underwater waterweed contour is described by shape descriptors to obtain the morphological characteristics of the waterweed.

[0040] S523, dividing the underwater water grass area based on the water grass outline, extracting the color features of the underwater water grass area, and obtaining the water grass color features.

[0041] S524, extracting texture features of the underwater water grass area through a local binary pattern to obtain water grass texture features.

[0042] S525, inputting the water grass morphological features, water grass color features, and water grass texture features into a pre-constructed water grass growth state classification model to obtain a water grass growth state classification result; the water grass growth state classification result includes healthy, sub-healthy, and withered.

[0043] S526, if the classification result of the growth status of the aquatic plants is sub-healthy or withered, the abnormal growth status alarm information of the aquatic plants is sent to the environment monitoring controller 18, and the environment monitoring controller 18 controls the alarm 19 to sound an alarm.

[0044] First, the underwater image is preprocessed, and then edge extraction is performed based on the preprocessed image to obtain the contour of the water grass, and then the morphological characteristics and area of ​​the water grass are obtained. The image of the water grass area is processed to obtain the color characteristics and texture characteristics of the water grass. Finally, the growth status of the water grass is classified according to the morphological characteristics, color characteristics and texture characteristics of the water grass, and a water grass growth status classification model is pre-constructed, and the classification results are obtained based on the model. The classification results of this embodiment include healthy, sub-healthy, and withered. If the growth status of the water grass is sub-healthy or withered, it means that the growth status of the water grass is abnormal and an early warning is required. In an optional implementation, by analyzing the underwater image, the degree of camera occlusion can be monitored and analyzed.

[0045] This embodiment uses water image analysis to analyze the water weeds occupying 20% ​​of the pond area, and timely warns when abnormalities occur, which specifically includes the following steps.

[0046] S531, preprocessing the water image, including denoising, grayscale processing and contrast enhancement processing.

[0047] S532, processing the pre-processed water image by edge detection technology to obtain the outline of water plants on the water.

[0048] S533, segmenting the aquatic plant area on the water based on the aquatic plant contour.

[0049] S534, performing pixel counting on the aquatic plant area above water to obtain the number of pixels in the aquatic plant area above water.

[0050] S535, converting the number of pixels in the aquatic grass area into an actual area value according to the resolution and shooting angle of the aquatic camera 17.

[0051] S536, detect whether the actual area value is less than the area threshold, if not, send the abnormal alarm information of the aquatic plant occupying the pond 20 area to the environmental monitoring controller 18, and the environmental monitoring controller 18 controls the alarm 19 to alarm.

[0052] This embodiment first preprocesses the above-water image, uses edge detection technology based on the preprocessed underwater image to obtain the outline of the water plants, and then segments the water plant area. In order to realize area calculation, the number of pixels in the water plant area is counted and then converted into an actual area value. If the actual area value is too large, it indicates that the water plants are generated abnormally, and a warning is given in time.

[0053] The above disclosure is only a preferred embodiment of the present invention, but the present invention is not limited thereto. Any non-creative changes that can be thought of by a person skilled in the art, as well as several improvements and modifications made without departing from the principle of the present invention, should fall within the protection scope of the present invention.

Claims

1. A three-dimensional monitoring and early warning device for river crab breeding environment, characterized in that: It comprises a vertical pole, a horizontal pole is arranged on the vertical pole, a first vertical pole and a second vertical pole are arranged on the horizontal pole, a floating box is arranged at the bottom end of the first vertical pole, an underwater camera and a plurality of environmental parameter collectors are arranged in the floating box, and an above-water camera is arranged on the second vertical pole; An environmental monitoring controller and an alarm are also provided on the pole. The environmental parameter collector, underwater camera, above-water camera and alarm are electrically connected to the environmental monitoring controller respectively. The environmental monitoring controller communicates wirelessly with the industrial Internet early warning platform. The environmental monitoring controller receives the environmental parameters collected by the environmental parameter collector, the underwater images collected by the underwater camera and the above-water images collected by the above-water camera, and transmits the environmental parameters, underwater images and above-water images to the industrial Internet early warning platform for analysis. When the environmental parameters, underwater images or above-water images are abnormal, the alarm is controlled by the environmental monitoring controller to sound an alarm.

2. The three-dimensional monitoring and early warning device for river crab breeding environment according to claim 1 is characterized in that: The environmental parameter collector includes temperature sensor, ammonia nitrogen sensor, dissolved oxygen sensor, pH value sensor and chlorophyll sensor.

3. The three-dimensional monitoring and early warning device for river crab breeding environment according to claim 1 is characterized in that: The crossbar is connected to the upright post via a first telescopic rod.

4. The three-dimensional monitoring and early warning device for river crab breeding environment according to claim 1 is characterized in that: The first vertical rod is connected to the cross rod through the second telescopic rod.

5. The three-dimensional monitoring and early warning device for river crab breeding environment according to claim 1 is characterized in that: A first solar panel is arranged on the vertical pole, and the first solar panel supplies power to the environment monitoring controller, the alarm, and the above-water camera; a second solar panel is arranged on the top of the floating box, and the second solar panel supplies power to the environment parameter collector and the underwater camera.

6. The three-dimensional monitoring and early warning device for river crab breeding environment according to claim 1 is characterized in that: The Industrial Internet early warning platform transmits alarm information to the user terminal.

7. A three-dimensional monitoring and early warning method for river crab breeding environment, characterized in that: The device according to any one of claims 1 to 6 is implemented, comprising the following steps: The environmental parameter collector collects environmental parameters of the monitoring area and transmits the environmental parameters to the environmental monitoring controller; The underwater camera collects underwater images of the monitoring area and transmits the underwater images to the environment monitoring controller; The water camera collects water images of the monitoring area and transmits the water images to the environment monitoring controller; The environmental monitoring controller transmits environmental parameters, underwater images, and surface images to the Industrial Internet early warning platform; The Industrial Internet early warning platform analyzes environmental parameters, underwater images, and surface images. When environmental parameters, underwater images, or surface images are abnormal, the environmental monitoring controller controls the alarm to sound an alarm.

8. The three-dimensional monitoring and early warning method for river crab breeding environment according to claim 7 is characterized in that: The Industrial Internet early warning platform analyzes environmental parameters. When environmental parameters are abnormal, the environmental monitoring controller controls the alarm to sound an alarm, including: Configure the environmental parameter threshold range, the environmental parameters include temperature, ammonia nitrogen content, dissolved oxygen content, pH value, chlorophyll concentration; The actual value of the received environmental parameter is compared with the corresponding threshold range. If the actual value is not within the threshold range, the environmental parameter is judged to be abnormal, and the environmental parameter abnormality alarm information is sent to the environmental monitoring controller, and the environmental monitoring controller controls the alarm to sound an alarm.

9. The three-dimensional monitoring and early warning method for river crab breeding environment according to claim 7 is characterized in that: The Industrial Internet early warning platform analyzes underwater images. When the underwater images are abnormal, the environmental monitoring controller controls the alarm to sound an alarm, including: Preprocess the underwater images, including denoising and contrast enhancement; The pre-processed underwater image is processed by edge detection technology to obtain the underwater waterweed contour, and the underwater waterweed contour is described by shape descriptors to obtain the morphological characteristics of the waterweed; Divide the underwater water grass area based on the water grass outline, extract the color characteristics of the underwater water grass area, and obtain the water grass color characteristics; The texture features of the underwater water grass area are extracted by using the local binary pattern to obtain the water grass texture features; Inputting the waterweed morphological features, waterweed color features, and waterweed texture features into a pre-constructed waterweed growth state classification model to obtain a waterweed growth state classification result; the waterweed growth state classification result includes healthy, sub-healthy, and withered; If the classification result of the growth status of the aquatic plants is sub-healthy or withered, the abnormal growth status alarm information of the aquatic plants is sent to the environmental monitoring controller, and the environmental monitoring controller controls the alarm to sound an alarm.

10. The three-dimensional monitoring and early warning method for river crab breeding environment according to claim 7 is characterized in that: The Industrial Internet early warning platform analyzes the water images. When the water images are abnormal, the environmental monitoring controller controls the alarm to sound an alarm, including: Preprocess the water image, including denoising, grayscale processing and contrast enhancement; The pre-processed water image is processed by edge detection technology to obtain the outline of water plants on the water; Segment the aquatic plant area on the water based on the contour of the aquatic plant; Perform pixel counting on the aquatic plant area above water to obtain the number of pixels in the aquatic plant area above water; According to the resolution and shooting angle of the water camera, the number of pixels in the water grass area is converted into the actual area value; Detect whether the actual area value is less than the area threshold. If not, send abnormal alarm information of aquatic plants occupying the pond area to the environmental monitoring controller, and the environmental monitoring controller controls the alarm to sound an alarm.

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