A method for automated detection of microinvertebrates

Abstract

The application discloses a kind of micro invertebrate automatic detection method, comprising the following steps: step S1: obtaining water sample;Step S2: sample concentration;Step S3: optical detection;Step S4: filter detection unit cleaning;Step S5: detect filter detection unit filter membrane pollution;Step S6: replace filter detection unit;Step S7: manually replace filter detection unit;The application is concentrated sample for detecting chironomid larvae by realizing automatic filtration collection to water sample in step S2, detects chironomid larvae in concentrated sample in filter detection unit by sample imaging unit in step S3, and filter detection unit is cleaned by step S4;Filter detection unit with filter membrane pollution is replaced by step S5 and step S6;The application does not need manual collection and detection chironomid larvae, reduces the cumbersome step of manual operation, and is simple to operate, step is simple, improves the frequency and efficiency of sample collection, sample detection.

Description

[Technical Field]

[0001] This invention relates to the field of microbial detection technology, and in particular to an automated detection method for microscopic invertebrates. [Background Technology]

[0002] Microscopic invertebrates such as copepods, cladocerans, nematodes, rotifers, and chironomid larvae are present in many treated water distribution systems worldwide. Among the various microscopic invertebrate groups, chironomid larvae are of particular concern because they can grow to a size visible to customers. Chironomids are a highly diverse group of insects belonging to the family Midgeidae (also known as non-biting midges). They are distributed globally and are known to tolerate and adapt to a wide range of environmental conditions. Because the hemoglobin analogues of some species are bright red, their larvae are often referred to as "red worms." Water supply and distribution systems around the world have been affected by chironomid larvae, and the presence of large red worms in water supply and distribution systems can easily affect water quality.

[0003] Therefore, to detect midge larvae in treated water, regular testing of the water supply and distribution systems is necessary to identify any signs of midge infection as soon as possible. Currently, the detection method for midge larvae relies on trained operators collecting samples, followed by analysts manually identifying the larvae under a microscope. This process is time-consuming and labor-intensive, and the cumbersome manual operation is prone to human error, resulting in low detection frequency and accuracy. [Summary of the Invention]

[0004] To address the problems of cumbersome and error-prone manual collection and detection of midge larvae, resulting in low efficiency and accuracy, this invention proposes an automated detection method for microscopic invertebrates.

[0005] This invention is achieved by the following technical solution:

[0006] An automated detection method for microscopic invertebrates includes the following steps:

[0007] Step S1: Obtain a water sample for testing;

[0008] Step S2: Sample concentration. The water sample is filtered and collected through a filtration system to obtain a concentrated sample, which is then introduced into the filtration and detection unit.

[0009] Step S3: Optical detection, the concentrated sample in the filter detection unit in step S2 is detected by the sample imaging unit to obtain sample information;

[0010] Step S4: Cleaning the filter detection unit, cleaning the filter detection unit after the detection in step S3;

[0011] Step S5: Detect filter membrane contamination in the filter detection unit. When the filter membrane in the filter detection unit is contaminated and cannot be cleaned in step S3, proceed to the next step. When the filter membrane in the filter detection unit is cleaned in step S4, return to step S1.

[0012] Step S6: Replace the filter detection unit, replace it with the next spare filter detection unit and return to step S1. When all spare filter detection units are used up, proceed to the next step.

[0013] Step S7: Manually replace the filter detection units. Manually replace all filter detection units and return to step S1.

[0014] The automated detection method for micro invertebrates described above further includes the following steps in step S2:

[0015] Step S201: Filter the water sample. The water sample is introduced into the filtration and collection device inside the main body of the device and filtered through the filtration and collection device.

[0016] Step S202: Collect the sample, perform high-pressure backwashing on the filter collection device using a rinsing device, and collect the sample in the collection device of the filter collection device to obtain a concentrated sample;

[0017] Step S203: Discharge the sample, discharging the concentrated sample collected in the collection device.

[0018] The automated detection method for micro invertebrates described above further includes the following steps in step S201:

[0019] Step S2011: Close the drain and shut off the drain outlet;

[0020] Step S2012: Water sample introduction. Open the feeding device to introduce the water sample into the filtration and collection device. After being filtered by the filtration device, the water sample enters the main body of the device.

[0021] Step S2013: Open the overflow. When the device body is full of water sample, open the overflow port to export the water sample that is full of the device body.

[0022] Step S2014: Open the drain. After the water sample is introduced in step S2012, open the drain outlet to discharge the water sample filtered by the filter collection device.

[0023] The automated detection method for micro invertebrates described above, in step S202, further includes the following steps:

[0024] Step S2021: Open the drain;

[0025] Step S2022: Perform backwashing. Open the flushing device to spray flushing water onto the filter device to perform high-pressure backwashing on the sample adhering to the inner wall of the filter device, so that the sample flows down the inner wall of the filter device and collects in the collection device to obtain a concentrated sample.

[0026] Step S2023: Drain the flushing water. The drain outlet discharges the flushing water from the device body.

[0027] The automated detection method for micro invertebrates described above, in step S203, further includes the following steps:

[0028] Step S2031: Export the sample, open the flow limiting device to open the flow guide tube to discharge the concentrated sample in the collection device into the sample container.

[0029] The automated detection method for micro invertebrates described above, in step S3, further includes the following steps:

[0030] Step S301: Feeding, the concentrated sample is introduced into the filtration and detection unit;

[0031] Step S302: Transfer material, move the filter detection unit after the concentrated sample has been introduced to the detection station;

[0032] Step S303: Detection, the sample imaging unit detects the concentrated sample in the filter detection unit;

[0033] Step S304: Transfer material, move the tested filter detection unit to the feeding station and proceed to the next step.

[0034] The automated detection method for micro invertebrates described above further includes the following steps in step S301:

[0035] Step S3011: Import the sample. The filtration and detection unit moves to the feeding station and is located below the sample container. The concentrated sample in the sample container is imported into the filtration and detection unit.

[0036] Step S3012: Filter the sample. The filter drive device extracts the water from the concentrated sample on the filter membrane through the filter holes so that the particles of the sample to be tested in the concentrated sample remain on the filter membrane.

[0037] Step S3013: Add cleaning water. Add cleaning water into the filter detection unit to form a water film to ensure that the sample particles remain active.

[0038] The automated detection method for micro invertebrates described above, in step S303, further includes the following steps:

[0039] Step S3031: Move the sample imaging unit to a position above the filter detection unit;

[0040] Step S3032: Acquire an image, wherein the sample imaging unit takes an image of the sample particles within the filter detection unit;

[0041] Step S3033: Output data, the sample imaging unit outputs image data to an industrial computer;

[0042] Step S3034: Image analysis. The industrial computer performs AI image analysis and recognition based on the sample imaging unit's acquired image, and records the detection conclusion.

[0043] Step S3035: Determine sample viability. For the identified sample particles, determine whether they are live organisms based on their activity. When the sample particles are live organisms, they are discharged through the collection hole and stored in the sampling bottle, while triggering an alarm on the industrial computer. When the sample particles are not live organisms, the sample is discharged as waste liquid through the overflow hole.

[0044] The automated detection method for micro invertebrates described above, in step S4, further includes the following steps:

[0045] Step S401: Move the filter detection unit to the feeding station;

[0046] Step S402: Clean the filter detection unit. The cleaning system sprays cleaning water onto the filter detection unit through a nozzle to clean it.

[0047] The automated detection method for micro invertebrates described above, in step S5, further includes the following steps:

[0048] Step S501: Move the filter detection unit to the detection station. Move the cleaned filter detection unit to the detection station.

[0049] Step S502: Filter membrane imaging of the filter detection unit, wherein the sample imaging unit takes an image of the filter membrane of the filter detection unit;

[0050] Step S503: Filter membrane data output, the sample imaging unit outputs filter membrane image data to an industrial computer;

[0051] Step S504: Analyze the filter membrane image. If there are a large number of impurity particles in the filter membrane of the filtration detection unit, proceed to the next step. If there are a small number of impurity particles or no impurity particles in the filter membrane of the filtration detection unit, return to step S1.

[0052] Compared with the prior art, the present invention has the following advantages:

[0053] This invention proposes an automated detection method for micro invertebrates. In step S2, sample concentration automatically filters and collects water samples to obtain concentrated samples for detecting chironomid larvae. In step S3, optical detection automatically detects chironomid larvae in the concentrated sample within the filter detection unit using a sample imaging unit to obtain chironomid larvae information. Step S4 further cleans the filter detection unit after detection. Steps S5 and S6 replace filter detection units with contaminated membranes that cannot be cleaned. This invention eliminates the need for manual collection and detection of chironomid larvae, reducing tedious manual operations. It is simple to operate, streamlined, and improves the frequency and efficiency of sample collection and detection. [Attached Image Description]

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.

[0055] Figure 1 This is a flowchart illustrating the workflow of the present invention;

[0056] Figure 2 This is a flowchart of step S2 of the present invention;

[0057] Figure 3 This is a flowchart of step S201 of the present invention;

[0058] Figure 4 This is a flowchart of step S202 of this invention;

[0059] Figure 5 This is a flowchart of step S3 of the present invention;

[0060] Figure 6 This is a flowchart of step S301 of the present invention;

[0061] Figure 7 This is a flowchart of step S303 of the present invention;

[0062] Figure 8 This is a flowchart of step S5 of the present invention;

[0063] Figure 9 This is a connection block diagram of the present invention;

[0064] Figure 10 This is a diagram of the graphical user interface (GUI) of the software of the present invention;

[0065] Figure 11 This is a photograph of midge larvae in a water sample used in this invention.

Detailed Implementation Methods

[0066] To make the technical problems solved, the technical solutions, and the beneficial effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0067] Specific embodiments, such as Figures 1 to 11 An automated detection method for micro invertebrates is shown, comprising the following steps:

[0068] Step S1: Obtain a water sample for testing;

[0069] Step S2: Sample concentration. The water sample is filtered and collected through a filtration system to obtain a concentrated sample, which is then introduced into the filtration and detection unit.

[0070] Step S3: Optical detection, the concentrated sample in the filter detection unit in step S2 is detected by the sample imaging unit to obtain sample information;

[0071] Step S4: Cleaning the filter detection unit, cleaning the filter detection unit after the detection in step S3;

[0072] Step S5: Detect filter membrane contamination in the filter detection unit. When the filter membrane in the filter detection unit is contaminated and cannot be cleaned in step S3, proceed to the next step. When the filter membrane in the filter detection unit is cleaned in step S4, return to step S1.

[0073] Step S6: Replace the filter detection unit, replace it with the next spare filter detection unit and return to step S1. When all spare filter detection units are used up, proceed to the next step.

[0074] Step S7: Manually replace the filter detection unit. Manually replace all the filter detection units and return to step S1.

[0075] This invention achieves automatic filtration and collection of water samples through sample concentration in step S2 to obtain concentrated samples for detecting chironomid larvae. In step S3, optical detection automatically detects chironomid larvae in the concentrated sample within the filtration and detection unit using the sample imaging unit to obtain information about the chironomid larvae. Step S4 further cleans the filtration and detection unit after detection. Steps S5 and S6 replace filtration and detection units with contaminated filter membranes that cannot be cleaned. This invention eliminates the need for manual collection and detection of chironomid larvae, reducing tedious manual operations. It is simple to operate and streamlined, improving the frequency and efficiency of sample collection and detection.

[0076] Furthermore, step S2 also includes the following steps:

[0077] Step S201: Filter the water sample. The water sample is introduced into the filtration and collection device inside the main body of the device and filtered through the filtration and collection device.

[0078] Step S202: Collect the sample, perform high-pressure backwashing on the filter collection device using a rinsing device, and collect the sample in the collection device of the filter collection device to obtain a concentrated sample;

[0079] Step S203: Discharge the sample, discharge the concentrated sample collected in the collection device;

[0080] Step S2 involves filtering, collecting, and discharging the water sample to obtain a concentrated sample. The steps are simple, easy to operate, and improve the efficiency of obtaining a concentrated sample.

[0081] Furthermore, step S201 also includes the following steps:

[0082] Step S2011: Close the drain and shut off the drain outlet;

[0083] Step S2012: Water sample introduction. Open the feeding device to introduce the water sample into the filtration and collection device. After being filtered by the filtration device, the water sample enters the main body of the device.

[0084] Step S2013: Open the overflow. When the device body is full of water sample, open the overflow port to export the water sample that is full of the device body.

[0085] Step S2014: Open the drain. After the water sample is introduced in step S2012, open the drain outlet to discharge the water sample filtered by the filter collection device.

[0086] The water sample filtered by the filtration device is discharged through the overflow port and the drain port on the main body of the device to prevent the water sample from overflowing from the main body of the device and affecting the filtration and collection of the water sample.

[0087] Specifically, step S202 further includes the following steps:

[0088] Step S2021: Open the drain;

[0089] Step S2022: Perform backwashing. Open the flushing device to spray flushing water onto the filter device to perform high-pressure backwashing on the sample adhering to the inner wall of the filter device, so that the sample flows down the inner wall of the filter device and collects in the collection device to obtain a concentrated sample.

[0090] Step S2023: Drain the flushing water; the drain outlet discharges the flushing water from the device body.

[0091] The rinsing device is preferably a nozzle, which is arranged around the periphery of the filter collection device to improve the accuracy of concentrated sample collection.

[0092] More specifically, step S203 further includes the following steps:

[0093] Step S2031: Export the sample, open the flow limiting device to open the flow guide tube to discharge the concentrated sample in the collection device into the sample container;

[0094] The flow limiting device is preferably a clamp valve, used to open or close the flow guide tube, thereby allowing or restricting the flow of concentrated sample.

[0095] In addition, step S3 also includes the following steps:

[0096] Step S301: Feeding, the concentrated sample is introduced into the filtration and detection unit;

[0097] Step S302: Transfer material, move the filter detection unit after the concentrated sample has been introduced to the detection station;

[0098] Step S303: Detection, the sample imaging unit detects the concentrated sample in the filter detection unit;

[0099] Step S304: Transfer material, move the tested filter detection unit to the feeding station and proceed to the next step;

[0100] The sample imaging unit is preferably an industrial camera. The optical detection step in step S3 is simple, easy to operate, and has high detection efficiency.

[0101] Furthermore, step S301 also includes the following steps:

[0102] Step S3011: Import the sample. The filtration and detection unit moves to the feeding station and is located below the sample container. The concentrated sample in the sample container is imported into the filtration and detection unit.

[0103] Step S3012: Filter the sample. The filter drive device extracts the water from the concentrated sample on the filter membrane through the filter holes so that the particles of the sample to be tested in the concentrated sample remain on the filter membrane.

[0104] Step S3013: Add cleaning water. Add cleaning water into the filtration and detection unit to form a water film to ensure that the sample particles remain active.

[0105] The filter membrane is preferably a microporous filter membrane, and the filtration drive device is preferably a diaphragm pump, used to extract water samples and fine particles other than chironomid larvae from the concentrated sample through the filter holes to prevent them from affecting the test results, and to add clean water to form a water film to ensure that the chironomid larvae remain active.

[0106] Furthermore, step S303 also includes the following steps:

[0107] Step S3031: Move the sample imaging unit to a position above the filter detection unit;

[0108] Step S3032: Acquire an image, wherein the sample imaging unit takes an image of the sample particles within the filter detection unit;

[0109] Step S3033: Output data, the sample imaging unit outputs image data to an industrial computer;

[0110] Step S3034: Image analysis. The industrial computer performs AI image analysis and recognition based on the sample imaging unit's acquired image, and records the detection conclusion.

[0111] Step S3035: Determine sample viability. For the identified sample particles, determine whether they are live organisms based on their activity. When the sample particles are live organisms, they are discharged through the collection hole and stored in the sampling bottle, while triggering an alarm on the industrial computer. When the sample particles are not live organisms, the sample is discharged as waste liquid through the overflow hole.

[0112] The imaging data of the sample imaging unit is analyzed by an industrial computer to obtain data such as the number and activity of midge larvae, and to determine whether the water sample is infected with midge larvae.

[0113] Furthermore, step S4 also includes the following steps:

[0114] Step S401: Move the filter detection unit to the feeding station;

[0115] Step S402: Clean the filter detection unit. The cleaning system sprays cleaning water onto the filter detection unit through a nozzle to clean it.

[0116] The cleaning system also includes a high-pressure pump to drive the nozzle to spray cleaning water into the filter detection unit, thereby improving cleaning efficiency.

[0117] Specifically, step S5 further includes the following steps:

[0118] Step S501: Move the filter detection unit to the detection station. Move the cleaned filter detection unit to the detection station.

[0119] Step S502: Filter membrane imaging of the filter detection unit, wherein the sample imaging unit takes an image of the filter membrane of the filter detection unit;

[0120] Step S503: Filter membrane data output, the sample imaging unit outputs filter membrane image data to an industrial computer;

[0121] Step S504: Analyze the filter membrane image. If there are a large number of impurity particles in the filter membrane of the filtration detection unit, proceed to the next step. If there are a small number of impurity particles or no impurity particles in the filter membrane of the filtration detection unit, return to step S1.

[0122] The sample imaging unit performs imaging detection on the filter membrane of the filter detection unit to obtain the degree of contamination of the filter membrane. When there are a large number of impurity particles in the filter membrane that cannot be cleaned by the cleaning system, the next backup filter detection unit is automatically replaced in step S6.

[0123] The present invention also discloses a filter positioning unit for driving the filter detection unit to move, and the filter positioning unit is provided with a plurality of spare filter detection units.

[0124] The present invention also discloses an imaging positioning unit for driving the movement of the sample imaging unit.

[0125] This invention also discloses a software graphical user interface (GUI) developed based on LabVIEW and applied to industrial computers; such as Figure 10 As shown, the system hardware control (e.g., valves, pumps and motion platforms, lighting, etc.) used for the entire method, as well as image analysis (calling the TensorFlow algorithm to analyze the captured images for the identification of midges and other microinvertebrates);

[0126] The software graphical user interface (GUI) consists of four parts:

[0127] Part 1 includes 4 buttons, which can call 4 programmable working protocols with different functions. The 4 programmable working protocols are preloading 11, image capture 12, analysis 13, and cleaning 14.

[0128] Part 2 is used to display the final image analysis results (the Tensor Flow algorithm can be called, and the built-in database can be called to analyze the saved captured images to display the final determined count of micro invertebrates).

[0129] Part 3, 3, is used to capture windows in real time to display the current imaging process (updating the survivability of identified midges);

[0130] Parts 4 and 5 are used for manually adjusting the track position and controlling valves / pumps to fine-tune the system.

[0131] The preferred algorithm model for the operating software is:

[0132] "faster_rcnn_inception_resnet_v2_atrous".

[0133] The operating software includes the following operating steps:

[0134] Step 01: Open the software, and move the filtering system and the optical detection hardware to the starting position;

[0135] Step 02: Press the preload button 11, and the filter detection unit will move to the bottom of the sample container and introduce the test water sample;

[0136] Step 03: Press the image capture button 12, the filter detection unit and the sample imaging unit move to the capture position, and the sample imaging unit takes an image of the sample in the filter detection unit;

[0137] Step 04: Press the analysis 13 button, and the sample imaging unit transmits the image data to the industrial computer. The operating software on the industrial computer analyzes the captured image through the tensor flow algorithm and the currently saved database.

[0138] Step 05: Press the cleaning button 14, the filter detection unit moves to the feeding station, and the cleaning system sprays cleaning water onto the filter detection unit through the spray nozzle to clean it.

[0139] like Figure 11 A photo of a test water sample was shown, in which filtered midges were identified;

[0140] The present invention also discloses that step S3034 further includes the following steps:

[0141] Step S30341: Take stacked photos of the same field of view (FoV), preferably 30 images (at a rate of 1 image / second);

[0142] Step S30342: Identify the target midge larvae from the first photograph and classify the midge larvae as follows:

[0143] Crossed larvae, larvae that overlap with another larva;

[0144] Larvae at the edge, larvae found at the edge of the filter;

[0145] Larvae with impurities, larvae with background particles;

[0146] Normal larvae, larvae without disturbance;

[0147] Each midge larva is assigned an ID, and target tracking is performed.

[0148] Step S30343: Perform continuous object tracking and feasibility analysis on stacked photos through image similarity comparison;

[0149] For each identified midge larva, identify the two photos with the lowest similarity among the 30 photos in S30341, and record the similarity index.

[0150] Step S30344: When the similarity index is less than a preset threshold, the midge larvae remain active, i.e., survive; when the similarity index is greater than a preset threshold, the midge larvae remain stationary, i.e. die; the preset threshold is preferably 95%.

[0151] The working principle of this embodiment is as follows:

[0152] An automated detection method for micro invertebrates according to the present invention includes the following steps:

[0153] Step S1: Obtain a water sample for testing;

[0154] Step S2: Sample concentration. The water sample is filtered and collected through a filtration system to obtain a concentrated sample, which is then introduced into the filtration and detection unit.

[0155] Step S3: Optical detection, the concentrated sample in the filter detection unit in step S2 is detected by the sample imaging unit to obtain sample information;

[0156] Step S4: Cleaning the filter detection unit, cleaning the filter detection unit after the detection in step S3;

[0157] Step S5: Detect filter membrane contamination in the filter detection unit. When the filter membrane in the filter detection unit is contaminated and cannot be cleaned in step S3, proceed to the next step. When the filter membrane in the filter detection unit is cleaned in step S4, return to step S1.

[0158] Step S6: Replace the filter detection unit, replace it with the next spare filter detection unit and return to step S1. When all spare filter detection units are used up, proceed to the next step.

[0159] Step S7: Manually replace the filter detection unit. Manually replace all the filter detection units and return to step S1.

[0160] This invention achieves automatic filtration and collection of water samples through sample concentration in step S2 to obtain concentrated samples for detecting chironomid larvae. In step S3, optical detection automatically detects chironomid larvae in the concentrated sample within the filtration and detection unit using the sample imaging unit to obtain information about the chironomid larvae. Step S4 further cleans the filtration and detection unit after detection. Steps S5 and S6 replace filtration and detection units with contaminated filter membranes that cannot be cleaned. This invention eliminates the need for manual collection and detection of chironomid larvae, reducing tedious manual operations. It is simple to operate and streamlined, improving the frequency and efficiency of sample collection and detection.

[0161] The above description is one embodiment provided in conjunction with specific content, and does not imply that the specific implementation of the present invention is limited to these descriptions. Furthermore, due to differences in industry naming conventions, the invention is not limited to the above names or English names. Any methods or structures similar to or identical to those of the present invention, or any technical deductions or substitutions made based on the concept of the present invention, should be considered within the scope of protection of the present invention.

Claims

1. An automated detection method for miniature invertebrates, characterized in that: Includes the following steps: Step S1: Obtain a water sample for testing; Step S2: Sample concentration. The water sample is filtered and collected through a filtration system to obtain a concentrated sample, which is then introduced into the filtration and detection unit. Step S3: Optical detection, using the sample imaging unit to detect the concentrated sample within the filter detection unit in step S2 to obtain sample information; Step S4: Cleaning the filter detection unit, cleaning the filter detection unit after the detection in step S3 using a cleaning system; Step S5: Detect filter membrane contamination in the filter detection unit. When the filter membrane in the filter detection unit is contaminated and cannot be cleaned in step S3, proceed to the next step. When the filter membrane in the filter detection unit is cleaned in step S4, return to step S1. Step S6: Replace the filter detection unit, replace it with the next spare filter detection unit and return to step S1. When all spare filter detection units are used up, proceed to the next step. Step S7: Manually replace the filter detection unit. Manually replace all the filter detection units and return to step S1. Step S3 further includes the following steps: Step S301: Feeding, the concentrated sample is introduced into the filtration and detection unit; Step S302: Transfer material, move the filter detection unit after the concentrated sample has been introduced to the detection station; Step S303: Detection, the sample imaging unit detects the concentrated sample in the filter detection unit; Step S304: Transfer material, move the tested filter detection unit to the feeding station and proceed to the next step; Step S303 further includes the following steps: Step S3031: Move the sample imaging unit to a position above the filter detection unit; Step S3032: Acquire an image, wherein the sample imaging unit takes an image of the sample particles within the filter detection unit; Step S3033: Output data, the sample imaging unit outputs image data to an industrial computer; Step S3034: Image analysis. The industrial computer performs AI image analysis and recognition based on the image acquired by the sample imaging unit, and records the detection results. Step S3035: Determine sample viability. For the identified sample particles, determine whether they are live organisms based on their activity. When the sample particles are live organisms, they are discharged through the collection hole and stored in the sampling bottle, while triggering an alarm on the industrial computer. When the sample particles are not live organisms, the sample is discharged as waste liquid through the overflow hole. Step S301 further includes the following steps: Step S3011: Import the sample. The filtration and detection unit moves to the feeding station and is located below the sample container. The concentrated sample in the sample container is imported into the filtration and detection unit. Step S3012: Filter the sample. The filter drive device extracts the water from the concentrated sample on the filter membrane through the filter holes so that the particles of the sample to be tested in the concentrated sample remain on the filter membrane. Step S3013: Add cleaning water. Add cleaning water into the filter detection unit to form a water film to ensure that the sample particles remain active.

2. The automatic detection method for micro invertebrates according to claim 1, characterized in that, Step S2 further includes the following steps: Step S201: Filter the water sample. The water sample is introduced into the filtration and collection device inside the main body of the device and filtered through the filtration and collection device. Step S202: Collect the sample, perform high-pressure backwashing on the filter collection device using a rinsing device, and collect the sample in the collection device of the filter collection device to obtain a concentrated sample; Step S203: Discharge the sample, discharging the concentrated sample collected in the collection device.

3. The automatic detection method for micro invertebrates according to claim 2, characterized in that, Step S201 further includes the following steps: Step S2011: Close the drain and shut off the drain outlet; Step S2012: Water sample introduction. Open the feeding device to introduce the water sample into the filtration and collection device. After being filtered by the filtration device, the water sample enters the main body of the device. Step S2013: Open the overflow. When the device body is full of water sample, open the overflow port to export the water sample that is full of the device body. Step S2014: Open the drain. After the water sample is introduced in step S2012, open the drain outlet to discharge the water sample filtered by the filter collection device.

4. The automatic detection method for micro invertebrates according to claim 2, characterized in that, Step S202 further includes the following steps: Step S2021: Open the drain; Step S2022: Perform backwashing. Open the flushing device to spray flushing water onto the filter device to perform high-pressure backwashing on the sample adhering to the inner wall of the filter device, so that the sample flows down the inner wall of the filter device and collects in the collection device to obtain a concentrated sample. Step S2023: Drain the flushing water. The drain outlet discharges the flushing water from the device body.

5. The automatic detection method for micro invertebrates according to claim 2, characterized in that, Step S203 further includes the following steps: Step S2031: Export the sample, open the flow limiting device to open the flow guide tube to discharge the concentrated sample in the collection device into the sample container.

6. The automatic detection method for miniature invertebrates according to claim 1, characterized in that, Step S4 further includes the following steps: Step S401: Move the filter detection unit to the feeding station; Step S402: Clean the filter detection unit. The cleaning system sprays cleaning water onto the filter detection unit through a nozzle to clean it.

7. The automatic detection method for micro invertebrates according to claim 1, characterized in that, Step S5 further includes the following steps: Step S501: Move the filter detection unit to the detection station. Move the cleaned filter detection unit to the detection station. Step S502: Filter membrane imaging of the filter detection unit, wherein the sample imaging unit takes an image of the filter membrane of the filter detection unit; Step S503: Filter membrane data output, the sample imaging unit outputs filter membrane image data to an industrial computer; Step S504: Analyze the filter membrane image. If there are a large number of impurity particles in the filter membrane of the filtration detection unit, proceed to the next step. If there are a small number of impurity particles or no impurity particles in the filter membrane of the filtration detection unit, return to step S1.

Images