A larva monitoring system and method

Abstract

The present invention relates to the field of water quality detection, and in particular to a larval monitoring system and method. By intercepting larval samples in the water body to be detected, adding clean water thereto to improve visibility, and then obtaining images of the larval samples based on the principle of microscopic imaging, the larval samples are statistically counted using image recognition technology. Therefore, compared with the manual microscopic inspection method, it has the advantages of high efficiency, high accuracy, high real-time performance and low threshold for use.

Description

Technical Field

[0001] The present invention relates to the field of water quality monitoring, and in particular to a larvae monitoring system and method. Background Art

[0002] During the water quality monitoring process, a red worm detection link is often set up.

[0003] At present, the detection of red worms is mostly done manually, relying on professional classifiers to manually identify, classify and count water samples using microscopes in the laboratory. However, this method of manual observation and analysis has great limitations: first, the workload is large and requires high professionalism of manual labor, which consumes a lot of manpower, material resources and time, and has low effectiveness; second, manual instantaneous sampling monitoring is highly random, subjective and has low consistency; third, the monitor cannot meet the time requirements of real-time online monitoring, and cannot intuitively and timely reflect the dynamic changes in the number of water source red worms.

[0004] Therefore, existing larval monitoring methods have problems such as low efficiency, low accuracy and inability to make real-time quantitative observations, which need to be solved urgently. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and solve the problems of low efficiency, low accuracy and inability to make real-time quantitative observations in the existing larvae monitoring methods mentioned in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] According to a first aspect of the present invention, a larvae monitoring system is provided, comprising a sample collection module, a clean water flushing module, an imaging recognition module and a control module, wherein the control module is respectively connected to the sample collection module, the clean water flushing module and the imaging recognition module, and the clean water flushing module is connected to the sample collection module; the sample collection module gathers larvae samples in a water body to be detected; the clean water flushing module supplies clean water to the sample collection module to improve the visibility of the larvae samples; the imaging recognition module photographs and analyzes the larvae samples; and the control module controls the operation of the sample collection module, the clean water flushing module and the imaging recognition module.

[0008] In some embodiments, the sample collection module includes: a filtering and collecting unit, which collects the larval samples in the water body to be tested; the filtering and collecting unit includes a first water outlet and a second water outlet connected to the control module and provided with a filter; the first outlet discharges the water body to be tested in the filtering and collecting unit; the second outlet discharges the clean water and the larval samples in the filtering and collecting unit.

[0009] In some embodiments, the sample collection module also includes: a flow sensor unit, which is connected to the control module and located in front of the filter collection unit, monitors the flow data of the water body to be detected flowing into the filter collection unit, and transmits the flow data to the control module.

[0010] In some embodiments, the sample collection module also includes: an execution unit, connected to the control module and the first outlet, located in front of the flow sensing unit, controlling the inflow and outflow of the water body to be detected in the filtration collection unit to intercept the larval sample in the water body to be detected per unit flow.

[0011] In some embodiments, the clean water flushing module includes: a bubble mixing unit connected to the filter collection unit, injecting bubbles into the filter collection unit to mix the clean water and the larval sample.

[0012] In some embodiments, the identification and counting unit calibrates data by comparing the number of the larvae samples before and after the clean water is delivered.

[0013] The second aspect of the present invention provides a larval monitoring method, comprising: S1, gathering larval samples in a water body to be detected and adding clean water to improve the visibility of the larval samples; S2, taking images of the larval samples; and S3, extracting and analyzing the larval sample images to obtain the types and quantities of the larval samples.

[0014] In some embodiments, the step S1 includes: monitoring the flow rate of the water body to be detected.

[0015] In some embodiments, the step S2 includes: controlling the shooting frequency of the larvae sample image according to the flow rate of the water body to be detected monitored per unit time.

[0016] In some embodiments, step S3 includes: identifying abnormal conditions based on the type and quantity of the larvae sample and issuing an alarm message.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] (1) The larvae monitoring system and method provided by the present invention are highly efficient. While shortening the time for collecting red worm samples, imaging technology is used instead of manual microscopic examination, thereby improving work efficiency.

[0019] (2) The larvae monitoring system and method provided by the present invention are highly accurate. On the one hand, the system can replace manual microscopic examination, improve the consistency of identification standards, and reduce the influence of errors caused by manual operation. On the other hand, when setting the magnification of the microscope lens and the image resolution of the camera, the size of the field of view and the number of pixels of the red worm image are taken into consideration, ensuring that the sampling volume is sufficient and the red worm image can be accurately identified by the software.

[0020] (3) The larvae monitoring system and method provided by the present invention are highly real-time. The camera monitors in real time during the flow of water, without any blind spots in monitoring time, and has high visibility. It can monitor the changes in the types and numbers of red worms in the water in real time or regularly, and send red worm monitoring reports regularly. If red worms are identified, the device will give an identification alarm message to notify the user to take corresponding actions to ensure that the water quality meets the industry standard requirements.

[0021] (4) The larva monitoring system and method provided by the present invention have a low threshold for use. On the one hand, it saves a lot of labor and reduces the labor cost and time cost of manual microscopic examination. On the other hand, the entire device has a simple structure and is highly integrated and fully automated. Compared with the existing relatively scattered sample collection equipment, it has higher overall stability and operability. In addition, there are more installation locations that can be selected when sampling in the field. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 FIG. 4 is a schematic diagram of a larva monitoring system in one embodiment.

[0023] Description of reference numerals:

[0024] 1-sample collection module; 11-execution unit; 12-flow sensing unit; 13-filtration collection unit; 2-clean water flushing module; 3-imaging recognition module. DETAILED DESCRIPTION

[0025] The technical solution of this patent will be further described in detail below in conjunction with specific implementation methods. It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by ordinary technicians in the technical field to which this application belongs.

[0026] Example 1: Larvae Monitoring System

[0027] This embodiment provides a larva monitoring system, including a sample collection module 1, a clean water flushing module 2, an imaging recognition module 3 and a control module, for counting the number of red worms in the water body to be detected. Among them, the sample collection module 1 is responsible for gathering red worm samples in the water body to be detected, the imaging recognition module 3 is responsible for photographing and counting the samples, the clean water flushing module 2 is responsible for improving the visibility of the red worm samples in the water body to be detected, and the control module is used to manage and regulate the operation of the sample collection module 1, the imaging recognition module 3 and the clean water flushing module 2.

[0028] Specifically, the sample collection module 1 includes an execution unit 11, a flow sensor unit 12 and a filter collection unit 13 connected in sequence, and is used to intercept red worm samples in water bodies with different flow rates. Among them, the execution unit 11 is responsible for controlling whether the water to be tested enters the filter collection unit 13, the flow sensor unit 12 is responsible for detecting the flow rate of the water to be tested flowing into the filter collection unit 13, and the filter collection unit 13 is responsible for sampling and enriching the red worms in the water to be tested.

[0029] In this embodiment, the execution unit 11 uses an electromagnetic valve to control the flow of the fluid, and controls the flow rate and flow direction of the fluid by manipulating the electromagnetic field to open or close the valve. The flow sensing unit 12 uses a miniature high-precision electromagnetic flowmeter to monitor the fluid flow rate, and based on the liquid conductivity, it ensures highly accurate flow detection results, and the accuracy control standard of its cumulative flow rate is ±0.5% of its full scale. In addition, the execution unit 11 is arranged in front of the flow sensing unit 12, which means that the fluid flows through the execution unit 11 and then passes through the flow sensing unit 12, thereby ensuring the accuracy of the flow data. At the same time, the common setting of the execution unit 11 and the flow sensing unit 12 also facilitates the calculation of the number of larval samples in the water body to be detected per unit flow.

[0030] In this embodiment, the filtering and collecting unit 13 is a square storage tank made of organic fiberglass, with a size of 5cm×1cm×1cm, a maximum volume of 0.5L, and is provided with a first outlet and a second outlet with a detachable filter installed to ensure that the red worms will not be washed away. The first outlet is located at the top of the side, for discharging the water body to be tested, and the second outlet is located at the bottom of the square storage tank, for discharging clean water and red worm samples, to ensure that the addition of clean water will not change the water quality, or have an adverse effect on other aspects of the water quality.

[0031] At the same time, the sample collection module 1 also includes a water pump and a water pipe for conveying the water to be tested. In this embodiment, the nominal diameter of the water pipe is 15, and its internal pressure is greater than 3kg. In addition, the sample collection module 1 is also provided with a pre-filtering unit in front of the filter collection unit 13, and a pre-filtering net is installed at the outlet of the unit. The aperture of the pre-filtering net is larger than the aperture of the filter at the first outlet and the second outlet, so as to improve the capture efficiency and reduce clogging.

[0032] In addition to the waterway formed by the water body to be detected in the sample collection module 1, the larvae monitoring system also includes another waterway for circulating clean water in the clean water flushing module 2, which is used to transport clean water to the filter collection unit 13 and various pipelines to ensure that the number of small organisms in the waterway can be identified by taking pictures. Specifically, the clean water flushing module 2 is provided with a bubble mixing unit, and bubbles are injected into the filter collection unit 13 to utilize the bubble lift to mix the clean water and the larval sample, thereby avoiding the phenomenon that the red worms in some areas may be invisible due to uneven mixing, and improving visibility. In this embodiment, the clean water flushing module 2 includes a water reservoir, a water pump, a water pipe, a solenoid valve, etc. The water pipe can also be a pipe with a nominal diameter of 15.

[0033] The red worm samples intercepted by the sample collection module 1 will be used for classification and counting by the imaging recognition module 3. Specifically, the imaging recognition module 3 includes an image shooting unit and a recognition and counting unit, the former is responsible for capturing sample images, and the latter is responsible for extracting and analyzing red worm feature information to count the biomass of red worms.

[0034] In this embodiment, the image capture unit includes a microscope lens, a camera and a light source. Among them, the microscope lens is based on the principle of microscopic imaging and is used to clearly capture the characteristics of red worms. The camera adopts a high-definition digital camera suitable for capturing images of red worms, especially when there are many background particles or the red worms move faster. In terms of light source, a white LED panel light is used, which is installed around the filter collection unit 13 to ensure that a light source suitable for detection and imaging is provided for the image capture unit. The recognition and counting unit uses image recognition technology to identify and count the red worms in the pictures taken and stored by the image capture unit. To ensure the accuracy of the results, the recognition and counting unit calibrates the data by comparing the number of larvae samples before and after the delivery of clean water.

[0035] It should be understood that this embodiment uses a microscope lens equipped with a high-definition digital camera as an example to introduce the method of capturing red worm images. In actual application, you can choose a suitable shooting method as needed, such as using an industrial camera to capture the image of the analysis object, or using cameras with different magnifications, such as a camera with a 0.5x magnification and a 2x magnification.

[0036] The operation of the sample collection module 1, the imaging recognition module 3 and the clean water flushing module 2 is guided by the control module. Specifically, the control module includes a collection control unit, a shooting control unit and a clean water control unit, which controls the operation of the sample collection module 1, the imaging recognition module 3 and the clean water flushing module 2 by receiving the flow information of the water body to be detected output by the flow sensor unit 12 and making a judgment.

[0037] In this embodiment, the control module includes hardware facilities such as a PLC controller and an industrial computer, as well as control software corresponding to sample collection and imaging recognition. The flow parameters of the water body to be detected measured by the electromagnetic flowmeter will be transmitted to the PLC controller, and according to the predefined logic and control algorithm thereon, the operation of the solenoid valve and the camera will be controlled in real time, such as continuing to input the water body to be detected into the square storage tank, stopping flushing the pipe, or stopping taking pictures. The industrial computer receives the data transmitted by the PLC controller, performs advanced data processing and visualization, so that the operator can monitor the status of the system, or send control commands to the PLC controller or adjust control parameters. In addition, the industrial computer can also output customized statistical reports based on the changes in the types and quantities of red worms in the water monitored in real time or at regular intervals, such as identifying abnormal conditions, issuing identification alarm information, and notifying users to take necessary actions to ensure that the water quality meets industry standards.

[0038] The larvae monitoring system provided in this embodiment includes a circuit composed of a power supply, a solenoid valve, a PLC control module, an industrial computer, etc., and a waterway composed of a water reservoir, a water pump, a solenoid valve, a water pipe, an electromagnetic flowmeter, a square storage tank, etc. All devices in the entire circuit, waterway and the supporting gas path are integrated in an integrated structure and installed in an intelligent water quality sampling box with an inner space of 490mm wide × 460mm deep × 600mm high. Among them, a filter collection unit 13 is installed on the side of the box, and an L-shaped bracket for placing a camera is also installed on the box. The bracket ensures that the distance between the image capture unit and the filter collection unit is the first distance, that is, the image capture unit can capture all larvae samples in the filter collection unit and meet the focal length required by the camera. In addition, it should be understood that this embodiment takes red worms as an example to introduce the specific implementation method of the present application scheme, but other larvae are also applicable.

[0039] Example 2: Larvae Monitoring Method

[0040] Based on Example 1, this embodiment provides a larvae monitoring method, including: S1, gathering larvae samples in a water body to be detected and adding clean water to improve the visibility of the larvae samples; S2, taking images of the larvae samples; and S3, extracting and analyzing the larvae sample images to obtain the types and quantities of the larvae samples.

[0041] Specifically, after the system is started, the solenoid valve is opened, and the electromagnetic flowmeter records the flow of the water body to be detected and transmits it to the PLC controller to calculate the cumulative water output. When the cumulative water output reaches 100L, the PLC controller controls the solenoid valves for adjusting the water inlet and outlet of the water body to be detected to close, controls the camera to start shooting, controls the solenoid valve for adjusting the water inlet of the clean water flushing module 2 to open, and delivers clean water to the filter collection unit 13 and flushes for 20min. During this period, according to the flow of the water body to be detected monitored in unit time, the shooting frequency of the larvae sample image is controlled, that is, the camera shoots at a frequency of once every 100L. Then, the PLC controller controls the solenoid valve at the bottom of the filter collection unit 13 to open, discharge the waste liquid, and flush the entire pipeline system for a period of time through the clean water flushing module 2, and then the PLC controller controls the solenoid valve for adjusting the water inlet of the clean water flushing module 2 to close. Repeat the above steps as required, after the sampling is completed, the identification and counting unit identifies and counts the stored red worm images, outputs a customized statistical report, and issues an alarm message in case of abnormal conditions.

[0042] In summary, the present invention relates to the field of water quality detection, and specifically to a larval monitoring system and method. By intercepting larval samples in the water body to be detected and adding clean water thereto to improve visibility, the image of the larval sample is obtained based on the principle of microscopic imaging, and the larval sample is statistically counted using image recognition technology. Therefore, compared with the manual microscopic inspection method, it has the advantages of high efficiency, high accuracy, high real-time performance and low threshold for use.

[0043] The above are only some embodiments of the present invention. For those skilled in the art, several modifications and improvements can be made without departing from the creative concept of the present invention, which all belong to the protection scope of the present invention.

Claims

1. A larva monitoring system, characterized in that: It includes a sample collection module, a clean water flushing module, an imaging recognition module and a control module, wherein the control module is connected to the sample collection module, the clean water flushing module and the imaging recognition module respectively, and the clean water flushing module is connected to the sample collection module; The sample collection module collects larvae samples in the water body to be tested; The clean water flushing module delivers clean water to the sample collection module to improve the visibility of the larvae sample; The imaging recognition module photographs and analyzes the larvae sample; The control module controls the operation of the sample collection module, the clean water flushing module and the imaging recognition module; The clean water flushing module includes a bubble mixing unit, and the bubble mixing unit is connected to the sample collection module and the control module respectively; The bubble mixing unit, under the control of the control module, injects bubbles into the sample collection module to mix the clean water and the larvae sample; The imaging recognition module calibrates data by comparing the number of the larvae samples before and after the clean water is delivered.

2. The larva monitoring system according to claim 1, characterized in that: The sample collection module comprises: A filtering and collecting unit, connected to the bubble mixing unit, for collecting the larvae sample in the water body to be detected; The filtering and collecting unit comprises a first outlet and a second outlet connected to the control module and provided with a filter screen; The first outlet discharges the water to be detected in the filter collection unit; The second outlet discharges the clean water and the larvae sample in the filter collection unit.

3. The larva monitoring system according to claim 2, characterized in that: The sample collection module also includes: The flow sensing unit is connected to the control module and is located in front of the filter collection unit to monitor the flow data of the water body to be detected flowing into the filter collection unit and transmit the flow data to the control module.

4. The larva monitoring system according to claim 3, characterized in that: The sample collection module also includes: The execution unit is connected to the control module and the first outlet, and is located in front of the flow sensor unit to control the inflow and outflow of the water body to be detected in the filtering and collecting unit to intercept the larvae sample in the water body to be detected per unit flow.

5. A larva monitoring method applied to the larva monitoring system of any one of claims 1 to 4, characterized in that: include: S1, gathering larval samples in a water body to be tested, adding clean water and injecting bubbles, and using the bubbles to mix the clean water and the larval samples to improve the visibility of the larval samples; S2, taking images of the larvae sample before and after adding clean water; as well as S3. Extract and analyze the images of the larvae samples before and after adding clean water, perform data calibration by comparing the before and after data, and finally obtain the type and quantity of the larvae samples.

6. The larvae monitoring method according to claim 5, characterized in that: The step S1 comprises: Monitor the flow rate of the water body to be detected.

7. The larvae monitoring method according to claim 6, characterized in that: The step S2 comprises: The shooting frequency of the larvae sample image is controlled according to the flow rate of the water body to be detected monitored per unit time.

8. The larvae monitoring method according to claim 7, characterized in that: The step S3 comprises: Based on the type and quantity of the larvae sample, abnormal conditions are identified and alarm information is issued.

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