Carrier detection counting method and system, electronic device and storage medium

Abstract

The embodiment of the invention provides a carrier detection counting method and system, a storage medium and an electronic device. The method comprises the following steps: acquiring detection data of a first fluid; based on a preset classification model, performing classification processing on the detection data to obtain first feature information and first region information; under the condition that the first feature information meets a first feature threshold condition, first object information of the first fluid is determined; and determining the number of the detection carriers based on the first object information and the first area information. According to the invention, the problem of low carrier detection counting accuracy is solved, and the effect of improving the carrier detection counting efficiency is achieved.

Description

Technical Field

[0001] The present invention relates to the field of carrier detection and counting technology, and in particular to a carrier detection and counting method, system, electronic device and storage medium. Background Art

[0002] With the continuous progress of society, the importance of environmental protection is increasing, and therefore the importance of sewage quality testing technology is becoming increasingly prominent.

[0003] Existing sewage detection methods mainly focus on reaction detection between chemical reagents and their carriers. On the one hand, this type of detection method has a lag in detection results, and on the other hand, it also has requirements for the quality of detection and requires higher detection costs.

[0004] There is currently no effective solution to the above problems. Summary of the invention

[0005] The main purpose of the present application is to provide a carrier detection and counting method, device, system and medium to solve the problem of low carrier detection efficiency in the prior art.

[0006] According to an embodiment of the present invention, a carrier detection and counting method is provided, comprising:

[0007] Acquiring detection data of the first fluid, wherein the detection data is obtained by collecting data from a detection area through a detection device;

[0008] Based on a preset classification model, the detection data is classified and processed to obtain first characteristic information and first area information, wherein the first characteristic information is used to indicate data characteristics of the first fluid when it is represented in a first data format, and the first area information includes information of area identification for dividing the detection area;

[0009] In a case where the first characteristic information satisfies a first characteristic threshold condition, determining first object information of the first fluid, wherein the first characteristic threshold condition includes that the first characteristic information is less than or equal to a first threshold, and the first object information includes information of a detection carrier contained in the first fluid;

[0010] Based on the first object information and the first area information, the number of the detection carriers is determined.

[0011] In an exemplary embodiment, determining the number of the detection carriers based on the first object information and the first area information includes:

[0012] Based on the first object information, determining second feature information of the detection carrier, wherein the second feature information includes a relationship feature between the detection carriers;

[0013] In the case where the second feature information satisfies a second feature threshold condition, determining that the detection carrier is in a first feature relationship, wherein the second feature threshold condition includes that the second feature information is less than a second threshold;

[0014] Determining a region relationship between the detection carrier and the region identifier based on the first feature relationship and the first region information;

[0015] The number of the detection carriers is determined according to the area relationship, the first characteristic relationship and the first characteristic information.

[0016] In an exemplary embodiment, after determining the second feature information of the detection carrier based on the first object information, the method further includes:

[0017] When the first characteristic information satisfies a first characteristic threshold condition and when the second characteristic information does not satisfy a second characteristic threshold condition, determining third characteristic information of the detection carrier, wherein the third characteristic information includes carrier volume information of the detection carrier;

[0018] When the carrier volume information is smaller than a third threshold or larger than a fourth threshold, the detected carrier is regarded as a pseudo carrier, and a first filtering process is performed on the pseudo carrier.

[0019] In an exemplary embodiment, after determining the second feature information of the detection carrier based on the first object information, the method further includes:

[0020] When the first feature information satisfies a first feature threshold condition and the second feature information does not satisfy a second feature threshold condition, determining fourth feature information of the detection carrier, wherein the fourth feature information includes morphological base point information of the detection carrier;

[0021] When the fourth characteristic information does not satisfy the morphological condition, the detection carrier is used as a pseudo carrier and a second filtering process is performed on the pseudo carrier, wherein the morphological condition includes that the fourth characteristic information is the same as the preset morphological base point characteristic information.

[0022] The present application also provides a carrier detection and counting system, comprising:

[0023] A detection data acquisition module, used to obtain detection data of the first fluid, wherein the detection data is obtained by collecting data from a detection area through a detection device;

[0024] A data classification module, used for classifying the detection data based on a preset classification model to obtain first characteristic information and first area information, wherein the first characteristic information is used to indicate data characteristics of the first fluid when represented in a first data format, and the first area information includes information of area identification for dividing the detection area;

[0025] an object information determination module, configured to determine first object information of the first fluid when the first characteristic information satisfies a first characteristic threshold condition, wherein the first characteristic threshold condition includes that the first characteristic information is less than or equal to a first threshold, and the first object information includes information of a detection carrier contained in the first fluid;

[0026] A carrier counting module is used to determine the number of the detection carriers based on the first object information and the first area information.

[0027] In an exemplary embodiment, the carrier counting module comprises:

[0028] A second information unit, used to determine second feature information of the detection carrier based on the first object information, wherein the second feature information includes a relationship feature between the detection carriers;

[0029] A second feature unit, configured to determine that the detection carrier is in a first feature relationship when the second feature information satisfies a second feature threshold condition, wherein the second feature threshold condition includes that the second feature information is less than a second threshold;

[0030] A region relationship determination unit, configured to determine a region relationship between the detection carrier and the region identifier based on the first feature relationship and the first region information;

[0031] A carrier counting unit is used to determine the number of the detection carriers according to the area relationship, the first characteristic relationship and the first characteristic information.

[0032] In an exemplary embodiment, the carrier counting module further includes:

[0033] a third feature unit, configured to determine, after determining the second feature information of the detection carrier based on the first object information, third feature information of the detection carrier when the first feature information satisfies a first feature threshold condition and when the second feature information does not satisfy a second feature threshold condition, wherein the third feature information includes carrier volume information of the detection carrier;

[0034] The first filtering unit is used to treat the detected carrier as a pseudo carrier and perform a first filtering process on the pseudo carrier when the carrier volume information is less than a third threshold or greater than a fourth threshold.

[0035] In an exemplary embodiment, the carrier counting module further includes:

[0036] a fourth feature unit, configured to determine fourth feature information of the detection carrier after determining the second feature information of the detection carrier based on the first object information, if the first feature information satisfies a first feature threshold condition and if the second feature information does not satisfy a second feature threshold condition, wherein the fourth feature information includes morphological base point information of the detection carrier;

[0037] The second filtering unit is used to use the detection carrier as a pseudo carrier and perform a second filtering process on the pseudo carrier when the fourth characteristic information does not satisfy the morphological condition, wherein the morphological condition includes that the fourth characteristic information is the same as the preset morphological base point characteristic information.

[0038] The present invention also provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the carrier detection and counting method as described above is implemented.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention provides a carrier detection and counting method, device, system and medium, which can accurately determine the number of carriers by determining the characteristic information and detection area of ​​the detection data without the complicated operation of chemical reagent detection, thereby improving the sewage detection efficiency and solving the problem of low sewage detection efficiency in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a flow chart of a carrier detection and counting method according to an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of the principle of a carrier detection and counting method according to an embodiment of the present invention;

[0043] Figure 3 A structural block diagram of a carrier detection and counting device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0047] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0048] First, please refer to the attached Figure 1 In one embodiment of the present invention, a method for detecting and counting a carrier includes:

[0049] Step S101, acquiring detection data of the first fluid, wherein the detection data is obtained by collecting data from a detection area through a detection device;

[0050] In this embodiment, data sampling and detection of the fluid in a certain area is performed through various detection devices, and there is no need to use chemical reagents for detection, which reduces the manual operation process and improves the detection efficiency.

[0051] Among them, the first fluid includes sewage fluid. It should be noted that the present application can also be applicable to non-sewage detection fields, such as gas fluid for air detection, quicksand fluid for sand and soil detection, etc. In special circumstances, the first fluid can also be a data stream in network transmission; the detection data includes (but is not limited to) image data of the first fluid, particle data (such as PM2.5), concentration data (gas concentration or liquid concentration), fluid speed in the detection area, unit time flow rate of the fluid in the detection area and other information. Correspondingly, the detection device includes (but is not limited to) cameras, lidars, millimeter-wave radars, gas concentration sensors, dry and wet sensors and other detection devices or equipment.

[0052] Step S102, classifying the detection data based on a preset classification model to obtain first characteristic information and first region information, wherein the first characteristic information is used to indicate data characteristics of the first fluid when represented in a first data format, and the first region information includes information of region identification for region division in the detection region;

[0053] In this embodiment, the detection data is classified through a classification model to facilitate the analysis of relevant information, reduce the interference of data with low relevance, and thus improve the analysis accuracy and efficiency of fluid information.

[0054] Among them, the classification model can be (but not limited to) any one of an SVM model, a decision tree model, a decision regression model, etc., and can be selected specifically according to the data characteristics and the usage environment; the first feature information includes (but is not limited to) the data features of the detection data in different detection dimensions, for example, the grayscale value of the pixel in the image data, the concentration distribution characteristics in the concentration data, the flow change characteristics in different time periods or different time points in the flow information, the flow velocity change characteristics in different time periods or different time points in the fluid velocity information, and other information. Correspondingly, the first data format includes image data format, sensor electrical data format (such as level, voltage, etc.), or radar / ultrasonic signal data format; the area identifier is used to determine the distribution of the detection carrier detected in the first fluid, so as to facilitate the counting of the detection carrier; for example, when sewage detection is performed through image recognition, the area identifier can be the grid lines of the sewage observation plate used for sewage detection (such as Figure 2 or when detecting gas through a sensor, the area identifier may be the area IP identifier of the sensor, and so on; correspondingly, the first area information includes (but is not limited to) the grid line coordinates of the area identifier, grid line distribution, grid line length and width, area IP identifier, detection device IP identifier and other information.

[0055] Step S103, determining first object information of the first fluid when the first characteristic information satisfies a first characteristic threshold condition, wherein the first characteristic threshold condition includes that the first characteristic information is less than or equal to a first threshold, and the first object information includes information of a detection carrier contained in the first fluid;

[0056] In this embodiment, an easily detectable detection carrier is added to the first fluid. On the one hand, it is convenient for the observed object to be effectively attached to the fluid, that is, the observed object can exist stably in the fluid, avoiding the observed object from disintegrating, losing or becoming discrete during the movement of the fluid. At the same time, it is also convenient to detect relevant data of the fluid, so that the observed object can be accurately observed. On the other hand, it is also convenient to observe the existence status of each detected unit in the relevant fluid, thereby improving the efficiency and accuracy of fluid detection.

[0057] Among them, the first threshold value changes with the change of the first characteristic information. For example, when the first characteristic information is the concentration distribution characteristic, the first threshold value may be the maximum amplitude of the concentration distribution; when the first characteristic information is the grayscale value of the image data, the first threshold value may be a value between 0-255; when the first characteristic information is the flow characteristic, the first threshold value may be the maximum flow value, and so on; the detection carrier may be of multiple types depending on the object to be detected. For example, when sewage is detected by image recognition, the detection carrier may be a circular or elliptical carrier attached to cells or biological communities stained with luminescent materials; when gas is detected by a sensor, the detection carrier may be a stained gas aerosol, or an inflated balloon, or an external carrier of a data packet for data transmission in network data, etc., which will not be repeated here.

[0058] Step S104, determining the number of the detection carriers based on the first object information and the first area information;

[0059] In this embodiment, when counting in some fields, the usual counting rule is to include the detection carriers that fall on the area identifier into the calculation according to the direction (for example, in the grid counting of liquid or gas, the left is counted but not the right, and the top is counted but not the bottom). Therefore, for this type of counting, the relationship between the detection carrier and the area identifier will affect the final counting result. Therefore, when counting the carrier, the area identifier needs to be considered; or in network data calculation, the area identifier usually identifies the amount of storable data in different areas, which affects the final data count, so the area identifier also needs to be considered.

[0060] Below Figure 2 The present application is explained by taking an example. This example detects the cell conditions in sewage by means of image recognition. This example is only a schematic illustration of the principle of the present application and is not a specific limitation of the present application. This example cannot be regarded as a limitation of the scheme of the present application.

[0061] like Figure 2As shown, the detection area is first divided into multiple detection grids, and then the sewage sample is placed in the detection area, and relevant images are collected through an electron microscope (corresponding to the aforementioned step S101), and then the classification model is used to classify the grid lines in the figure (corresponding to the aforementioned first area information) and the stained colonies or cell groups in the sewage (corresponding to the aforementioned step S102). Since the stained colonies or stained cell groups are attached to the detection carrier, there is basically a one-to-one correspondence. Therefore, the pixel value and grayscale value of the pixel point of the relevant image (corresponding to the aforementioned first feature information) can be determined to determine the pixel value and grayscale value of the detection carrier, and then the set of pixels with smaller grayscale values ​​is determined as the detection carrier, and then the number of detection carriers in each grid is determined, thereby completing the carrier counting (corresponding to the aforementioned steps S103-S104).

[0062] The present application realizes accurate counting of carriers in the fluid by accurately judging and identifying the relationship between the characteristics of the detection data and the area identification, thereby improving the accuracy of identifying and judging the fluid state, thereby avoiding errors caused by manual inspection, improving the efficiency of carrier detection and counting, and reducing labor costs.

[0063] In an optional embodiment, determining the number of the detection carriers based on the first object information and the first area information includes:

[0064] Step S1041, determining second feature information of the detection carrier based on the first object information, wherein the second feature information includes a relationship feature between the detection carriers;

[0065] Step S1042: determining that the detection carrier is in a first characteristic relationship when the second characteristic information satisfies a second characteristic threshold condition, wherein the second characteristic threshold condition includes that the second characteristic information is less than a second threshold;

[0066] Step S1043, determining a region relationship between the detection carrier and the region identifier based on the first feature relationship and the first region information;

[0067] Step S1044, determining the number of the detection carriers according to the area relationship, the first characteristic relationship and the first characteristic information.

[0068] In this embodiment, when detecting carriers in data, when the features of the carriers are relatively close, misjudgment is likely to occur, and thus the features of these detected carriers need to be further accurately classified and identified to reduce the probability of misidentification.

[0069] Among them, the second characteristic information varies based on the detection environment and the detection object. For example, when performing sewage detection or gas detection, the second characteristic information includes the distance relationship or other spatial relationship between the detection carriers or the distance relationship between the pixel points corresponding to the detection carriers; when performing carrier detection of network data, the second characteristic information includes the identification sequence code of the external carrier of the data packet, and correspondingly, the second threshold includes the distance threshold or the hexadecimal threshold of the identification sequence code, and so on; the first characteristic relationship includes (but is not limited to) the detection carriers that meet the second characteristic threshold condition are the same detection carrier.

[0070] For example, the same Figure 2 For example, before detecting whether a carrier falls in a grid area, it is also necessary to determine which pixels belong to the same pixel set, that is, to determine which pixels can be regarded as the same detection carrier; therefore, it is necessary to determine the second feature information of these pixels, that is, the distance between the pixels. Only when the grayscale values ​​are similar and the pixel distance is less than a certain threshold can it be determined as the same detection carrier, and then counted according to the relationship between the detection carrier and the grid line.

[0071] In an optional embodiment, after determining the second feature information of the detection carrier based on the first object information, the method further includes:

[0072] Step S10411: when the first characteristic information satisfies a first characteristic threshold condition and when the second characteristic information does not satisfy a second characteristic threshold condition, determining third characteristic information of the detection carrier, wherein the third characteristic information includes carrier volume information of the detection carrier;

[0073] Step S10412: When the carrier volume information is less than the third threshold or greater than the fourth threshold, the detected carrier is regarded as a pseudo carrier, and a first filtering process is performed on the pseudo carrier.

[0074] In this embodiment, during the data detection process, due to the complexity of the collection environment, the collected data often contains a large amount of interference data, so these data need to be filtered, and the filtering method performs different forms of precise filtering according to the characteristics of the data.

[0075] Among them, the third characteristic information includes not only the carrier volume information, but also the carrier area information in some detection environments. For example, for network data, the carrier volume information includes the data volume of the carrier outside the data packet. For image data, the carrier area information includes the pixel area of ​​the detection carrier in the image.

[0076] For example, when detecting sewage carriers, a pixel set that is too large or too small may be considered as impurities or other sets and thus ignored; or in network data, a carrier that is too large or too small may be considered as noise in the data transmission process or out-of-domain attack information and thus be filtered.

[0077] In an optional embodiment, after determining the second feature information of the detection carrier based on the first object information, the method further includes:

[0078] Step S10413: when the first feature information satisfies a first feature threshold condition and the second feature information does not satisfy a second feature threshold condition, determining fourth feature information of the detection carrier, wherein the fourth feature information includes morphological base point information of the detection carrier;

[0079] Step S10414, when the fourth characteristic information does not satisfy the morphological condition, the detection carrier is used as a pseudo carrier, and the pseudo carrier is subjected to a second filtering process, wherein the morphological condition includes that the fourth characteristic information is the same as the preset morphological base point characteristic information.

[0080] In this embodiment, in order to further distinguish the detection carrier from the interference object, accurate identification can also be performed based on the shape of the detection carrier.

[0081] Among them, the morphological base point information includes the shape composed of the set of pixel points in the image in sewage detection, such as circle, band, or other irregular shapes. Since the shape of the detection carrier is usually fixed, other shapes need to be filtered at this time; or for network data, the morphological base point information corresponds to the storage distribution base point of the external carrier of the data packet, etc.

[0082] According to another embodiment of the present invention, Figure 3 As shown, a carrier detection and counting device is provided, comprising:

[0083] A detection data acquisition module 31 is used to obtain detection data of the first fluid, wherein the detection data is obtained by collecting data from a detection area through a detection device;

[0084] A data classification module 32, configured to classify the detection data based on a preset classification model to obtain first characteristic information and first region information, wherein the first characteristic information is used to indicate data characteristics of the first fluid when represented in a first data format, and the first region information includes information of region identification for region division in the detection region;

[0085] an object information determination module 33, configured to determine first object information of the first fluid when the first characteristic information satisfies a first characteristic threshold condition, wherein the first characteristic threshold condition includes that the first characteristic information is less than or equal to a first threshold, and the first object information includes information of a detection carrier contained in the first fluid;

[0086] The carrier counting module 34 is used to determine the number of the detection carriers based on the first object information and the first area information.

[0087] In an optional embodiment, the carrier counting module 34 includes:

[0088] A second information unit, used to determine second feature information of the detection carrier based on the first object information, wherein the second feature information includes a relationship feature between the detection carriers;

[0089] A second feature unit, configured to determine that the detection carrier is in a first feature relationship when the second feature information satisfies a second feature threshold condition, wherein the second feature threshold condition includes that the second feature information is less than a second threshold;

[0090] A region relationship determination unit, configured to determine a region relationship between the detection carrier and the region identifier based on the first feature relationship and the first region information;

[0091] A carrier counting unit is used to determine the number of the detection carriers according to the area relationship, the first characteristic relationship and the first characteristic information.

[0092] In an optional embodiment, the carrier counting module 34 further includes:

[0093] a third feature unit, configured to determine, after determining the second feature information of the detection carrier based on the first object information, third feature information of the detection carrier when the first feature information satisfies a first feature threshold condition and when the second feature information does not satisfy a second feature threshold condition, wherein the third feature information includes carrier volume information of the detection carrier;

[0094] The first filtering unit is used to treat the detected carrier as a pseudo carrier and perform a first filtering process on the pseudo carrier when the carrier volume information is less than a third threshold or greater than a fourth threshold.

[0095] In an optional embodiment, the carrier counting module 34 further includes:

[0096] a fourth feature unit, configured to determine fourth feature information of the detection carrier after determining the second feature information of the detection carrier based on the first object information, if the first feature information satisfies a first feature threshold condition and if the second feature information does not satisfy a second feature threshold condition, wherein the fourth feature information includes morphological base point information of the detection carrier;

[0097] The second filtering unit is used to use the detection carrier as a pseudo carrier and perform a second filtering process on the pseudo carrier when the fourth characteristic information does not satisfy the morphological condition, wherein the morphological condition includes that the fourth characteristic information is the same as the preset morphological base point characteristic information.

[0098] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0099] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0100] An embodiment of the present invention further provides a carrier detection and counting system, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0101] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0102] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0103] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

Claims

1. A carrier detection and counting method, characterized in that: include: Acquiring detection data of the first fluid, wherein the detection data is obtained by collecting data from a detection area through a detection device; Based on a preset classification model, the detection data is classified and processed to obtain first characteristic information and first area information, wherein the first characteristic information is used to indicate data characteristics of the first fluid when it is represented in a first data format, and the first area information includes information of area identification for dividing the detection area; In a case where the first characteristic information satisfies a first characteristic threshold condition, determining first object information of the first fluid, wherein the first characteristic threshold condition includes that the first characteristic information is less than or equal to a first threshold, and the first object information includes information of a detection carrier contained in the first fluid; Based on the first object information and the first area information, the number of the detection carriers is determined.

2. The method according to claim 1, characterized in that The determining the number of the detection carriers based on the first object information and the first area information includes: Based on the first object information, determining second feature information of the detection carrier, wherein the second feature information includes a relationship feature between the detection carriers; In the case where the second feature information satisfies a second feature threshold condition, determining that the detection carrier is in a first feature relationship, wherein the second feature threshold condition includes that the second feature information is less than a second threshold; Determining a region relationship between the detection carrier and the region identifier based on the first feature relationship and the first region information; The number of the detection carriers is determined according to the area relationship, the first characteristic relationship and the first characteristic information.

3. The method according to claim 2, characterized in that After determining the second feature information of the detection carrier based on the first object information, the method further includes: When the first characteristic information satisfies a first characteristic threshold condition and when the second characteristic information does not satisfy a second characteristic threshold condition, determining third characteristic information of the detection carrier, wherein the third characteristic information includes carrier volume information of the detection carrier; When the carrier volume information is smaller than a third threshold or larger than a fourth threshold, the detected carrier is regarded as a pseudo carrier, and a first filtering process is performed on the pseudo carrier.

4. The method according to claim 2, characterized in that After determining the second feature information of the detection carrier based on the first object information, the method further includes: When the first feature information satisfies a first feature threshold condition and the second feature information does not satisfy a second feature threshold condition, determining fourth feature information of the detection carrier, wherein the fourth feature information includes morphological base point information of the detection carrier; When the fourth characteristic information does not satisfy the morphological condition, the detection carrier is used as a pseudo carrier and a second filtering process is performed on the pseudo carrier, wherein the morphological condition includes that the fourth characteristic information is the same as the preset morphological base point characteristic information.

5. A carrier detection and counting system, characterized in that: include: A detection data acquisition module, used to obtain detection data of the first fluid, wherein the detection data is obtained by collecting data from a detection area through a detection device; A data classification module, used for classifying the detection data based on a preset classification model to obtain first characteristic information and first area information, wherein the first characteristic information is used to indicate data characteristics of the first fluid when represented in a first data format, and the first area information includes information of area identification for dividing the detection area; an object information determination module, configured to determine first object information of the first fluid when the first characteristic information satisfies a first characteristic threshold condition, wherein the first characteristic threshold condition includes that the first characteristic information is less than or equal to a first threshold, and the first object information includes information of a detection carrier contained in the first fluid; A carrier counting module is used to determine the number of the detection carriers based on the first object information and the first area information.

6. The system according to claim 5, characterized in that The carrier counting module comprises: A second information unit, used to determine second feature information of the detection carrier based on the first object information, wherein the second feature information includes a relationship feature between the detection carriers; A second feature unit, configured to determine that the detection carrier is in a first feature relationship when the second feature information satisfies a second feature threshold condition, wherein the second feature threshold condition includes that the second feature information is less than a second threshold; A region relationship determination unit, configured to determine a region relationship between the detection carrier and the region identifier based on the first feature relationship and the first region information; A carrier counting unit is used to determine the number of the detection carriers according to the area relationship, the first characteristic relationship and the first characteristic information.

7. The system according to claim 5, characterized in that The carrier counting module also includes: a third feature unit, configured to determine, after determining the second feature information of the detection carrier based on the first object information, third feature information of the detection carrier when the first feature information satisfies a first feature threshold condition and when the second feature information does not satisfy a second feature threshold condition, wherein the third feature information includes carrier volume information of the detection carrier; The first filtering unit is used to treat the detected carrier as a pseudo carrier and perform a first filtering process on the pseudo carrier when the carrier volume information is less than a third threshold or greater than a fourth threshold.

8. The system according to claim 5, characterized in that The carrier counting module also includes: a fourth feature unit, configured to determine fourth feature information of the detection carrier after determining the second feature information of the detection carrier based on the first object information, if the first feature information satisfies a first feature threshold condition and if the second feature information does not satisfy a second feature threshold condition, wherein the fourth feature information includes morphological base point information of the detection carrier; The second filtering unit is used to use the detection carrier as a pseudo carrier and perform a second filtering process on the pseudo carrier when the fourth characteristic information does not satisfy the morphological condition, wherein the morphological condition includes that the fourth characteristic information is the same as the preset morphological base point characteristic information.

9. An electronic device, characterized in that: The electronic device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the carrier detection and counting method according to any one of claims 1 to 4 are implemented.

10. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the carrier detection and counting method according to any one of claims 1 to 4 are implemented.

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