A water quality analysis system and method in water areas based on safety dynamic evaluation

Abstract

The present application discloses a water quality analysis system and method in a water area based on a safety dynamic evaluation, which belongs to the field of water quality analysis. The present application evaluates the growth of algae based on algae growth data, obtains water quality change data and weather change data in the water area to analyze the abnormal growth environment of algae, and evaluates the abnormal growth of algae in the water body based on the obtained algae growth evaluation results and the abnormal growth environment analysis results. The present application accurately evaluates the growth of algae based on algae growth quality data and growth aggregation degree data, and then integrates the water quality and weather change data of the water area to predict the future development of algae blooms, thereby improving the ability to grasp the future development of algae blooms and the accuracy of prediction.

Description

Technical Field

[0001] The present application belongs to the field of water quality analysis, and specifically relates to a water quality analysis system and method within a water area based on safety dynamic evaluation. Background Art

[0002] Algal blooms can lead to eutrophication of water bodies, which is caused by excessively high levels of nutrients such as nitrogen and phosphorus in water bodies, which promote abnormal proliferation of algae. This not only destroys the ecological balance of water bodies, but also makes the water smelly and reduces dissolved oxygen. In severe cases, it can threaten the safety of drinking water sources and aquatic products. Algal blooms can have a negative impact on aquatic organisms. On the one hand, large amounts of algae growth will consume oxygen in the water, causing fish and other aquatic organisms to suffocate and die due to lack of oxygen. On the other hand, some algae, such as cyanobacteria, can secrete harmful toxins, which are also released when the algae decay and decompose, causing harm to aquatic organisms. In addition, algal blooms can also affect the reproduction and growth of aquatic organisms and cause losses to fishery resources. In order to prevent and control the occurrence of algal blooms, a series of measures need to be taken, such as reducing water pollution, using fertilizers rationally, strengthening water monitoring, and taking artificial intervention measures.

[0003] When monitoring algae phenomena, the existing technology usually only monitors the algae area, and then analyzes whether an early warning is needed based on the area. It is unable to accurately evaluate the growth of algae based on the algae growth quality data and growth aggregation degree data, and it is also unable to integrate the water quality and weather change data of the water area to predict the future development of algal blooms. Most of the existing technologies have the above problems;

[0004] In order to solve the problems raised by the background technology, the present application designs a water quality analysis system and method in a water area based on dynamic safety evaluation. Summary of the invention

[0005] In response to the shortcomings of the existing technology, this application proposes a water quality analysis system and method for water areas based on dynamic safety evaluation, which accurately evaluates the growth of algae based on algae growth quality data and growth aggregation degree data, and then integrates the water quality and weather change data of the water area to predict the future development of algal blooms, thereby improving the ability to grasp the future development of algal blooms and the accuracy of prediction.

[0006] To achieve the above objectives, the present application provides the following technical solutions: In the first aspect, the present application provides a water quality analysis method in a water area based on safety dynamic evaluation, which includes the following specific steps:

[0007] Step 1: Collect water quality change data and algae growth data in the water area through the data collection terminal, and obtain weather change data at the same time;

[0008] Step 2: construct an algae growth assessment model to assess the algae growth based on the algae growth data;

[0009] Step 3, obtaining water quality change data and weather change data in the water area to analyze abnormal algae growth environment;

[0010] Step 4: perform an abnormal water body algae growth assessment based on the obtained algae growth assessment results and the algae growth environment abnormality analysis results, and issue an algae growth warning based on the obtained water body algae growth abnormality assessment results.

[0011] As a preferred technical solution for a water quality analysis method in a water area based on a safety dynamic evaluation, the specific contents of collecting water quality change data and algae growth data in the water area through a data acquisition terminal and obtaining weather change data at the same time are:

[0012] Step 11: collecting algae growth data in the water area through an image acquisition module, wherein the algae growth data includes image data of the algae colony, location data of the algae colony, and aggregation data of the algae colony;

[0013] Step 12: collecting the content of elements related to algae growth in the water body through a water quality sensor;

[0014] Step 13: obtaining weather data for a future time period, wherein the weather data includes temperature data. It should be noted that the weather data for a future time period can be obtained through a weather forecast;

[0015] Step 14: Store the acquired and collected data in a storage module.

[0016] As a preferred technical solution for a water quality analysis method in a water area based on safety dynamic evaluation, the construction of an algae growth evaluation model and the evaluation of algae growth based on algae growth data include the following specific steps:

[0017] Step 21, obtaining image data of algae colonies, location data of algae colonies and aggregation data of algae colonies, obtaining pixel values ​​of each pixel point of each algae colony image, and importing the obtained pixel values ​​of each pixel point of each algae colony image into the algae colony risk value calculation formula to calculate the algae colony risk value, wherein the calculation formula for the ith algae colony risk value is: , where ni is the number of pixels of the ith algae community, zij is the pixel value of the jth pixel of the ith algae community, and zm is the pixel value of the normal water body. It should be noted here that zij-zm is the difference between the pixel value of the jth pixel of the ith algae community and the pixel value of the normal water body. The algae community corresponding to the maximum algae community danger value is set as the central algae community. The pixel value anomaly of the jth pixel representing the i-th algae community is superimposed and averaged to obtain the average value of the community pixel anomaly. Since the denser the algae community, the greater the difference in color relative to the water surface, the algae community corresponding to the largest algae community danger value is found, that is, the densest algae community is found;

[0018] Step 22, obtaining the algae community danger value and algae area data of each algae community, and obtaining the distance data of each algae community relative to the central algae community, and importing them into the algae growth abnormal value calculation formula to calculate the algae growth abnormal value, wherein the algae growth abnormal value calculation formula is: , where N is the number of algae communities in the water area, Li is the distance data of the ith algae community relative to the central algae community, Lm is the circumference of the water area, si is the area of ​​the ith algae community, and S is the water area.

[0019] As a preferred technical solution for a water quality analysis method in a water area based on a safety dynamic evaluation, the acquisition of water quality change data and weather change data in the water area for abnormal analysis of algae growth environment includes the following specific steps:

[0020] Step 31, obtaining the content of elements related to algae growth in the water body and weather data for a future time period;

[0021] Step 32: Import the obtained content of elements related to algae growth in the water body into the algae growth environment abnormal value calculation formula to calculate the algae growth environment abnormal value, wherein the algae growth environment abnormal value calculation formula is: , where M is the type of element related to algae growth in the water body, au is the proportion coefficient of the element related to algae growth in the u-th water body, ku is the content of the element related to algae growth in the u-th water body, and kum is the median of the suitable range of the element related to algae growth in the u-th water body, where the suitable range is the safe range for normal algae growth;

[0022] Step 33, obtaining weather data for a future time period and the calculated algae growth environment abnormal value, and importing the weather data for the future time period and the algae growth environment abnormal value into the algae growth environment abnormal analysis coefficient calculation formula to calculate the algae growth environment abnormal analysis coefficient, wherein the algae growth environment abnormal analysis coefficient calculation formula is: , where Tz is the length of the future time period, Tt is the estimated temperature at time t, Tm is the median of the temperature range suitable for algae growth, and dt is the time integral.

[0023] As a preferred technical solution of a water quality analysis method in a water area based on a safety dynamic evaluation, the abnormal algae growth evaluation of the water body is performed according to the obtained algae growth evaluation results and the algae growth environment abnormality analysis results, and the algae growth early warning is performed according to the obtained algae growth abnormality evaluation results, including the following specific contents:

[0024] Obtain the calculated algae growth abnormality value and algae growth environment abnormality analysis coefficient and substitute them into the water body algae growth abnormality assessment value calculation formula to calculate the water body algae growth abnormality assessment value, wherein the water body algae growth abnormality assessment value calculation formula is: ;

[0025] Obtain the calculated water body algae growth abnormality assessment value, and compare the calculated algae growth abnormality assessment value with the set algae growth abnormality assessment threshold. If the algae growth abnormality assessment value is greater than or equal to the set algae growth abnormality assessment threshold, it means that the algae will multiply in large quantities in the next stage, and an algae reproduction warning will be issued to the water management department. If the algae growth abnormality assessment value is less than the set algae growth abnormality assessment threshold, no algae reproduction warning will be issued to the water management department.

[0026] In a second aspect, the present application provides a water quality analysis system in a water area based on safety dynamic evaluation, which is implemented based on the above-mentioned water quality analysis method in a water area based on safety dynamic evaluation, and specifically includes a data acquisition module, an algae growth assessment module, a growth environment abnormality analysis module and an algae growth warning module;

[0027] The data acquisition module is used to collect water quality change data and algae growth data in the water area through the data acquisition terminal, and simultaneously obtain weather change data;

[0028] The algae growth condition assessment module is used to construct an algae growth condition assessment model and perform algae growth condition assessment based on algae growth data;

[0029] The growth environment abnormality analysis module is used to obtain water quality change data and weather change data in the water area to perform algae growth environment abnormality analysis;

[0030] The algae growth warning module is used to evaluate the abnormal growth of algae in the water body according to the obtained algae growth situation evaluation results and the algae growth environment abnormality analysis results, and to issue an algae growth warning according to the obtained water body algae growth abnormality evaluation results;

[0031] It may also include a control module, which is used to control the operation of the data acquisition module, the algae growth condition assessment module, the growth environment abnormality analysis module and the algae growth early warning module.

[0032] In a third aspect, the present application provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0033] The processor executes the above-mentioned water quality analysis method in a water area based on dynamic safety evaluation by calling the computer program stored in the memory.

[0034] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a water quality analysis method in a water area based on dynamic safety evaluation as described above.

[0035] Compared with the prior art, the beneficial effects of this application are:

[0036] The present application collects water quality change data and algae growth data in the water area through a data collection terminal, and simultaneously obtains weather change data, constructs an algae growth assessment model, conducts an algae growth assessment based on the algae growth data, obtains water quality change data and weather change data in the water area to conduct an algae growth environment abnormality analysis, and conducts an algae growth abnormality assessment in the water body based on the obtained algae growth assessment results and algae growth environment abnormality analysis results. The present application accurately assesses the algae growth based on the algae growth quality data and the growth aggregation degree data, and then integrates the water quality and weather change data of the water area to predict the future development of the algae bloom, thereby improving the ability to grasp the future development of the algae bloom and the accuracy of the prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings;

[0038] Figure 1 This is a schematic diagram of the overall process of a water quality analysis method in a water area based on safety dynamic evaluation for this application;

[0039] Figure 2 This is a schematic diagram of step 1 of a water quality analysis method in a water area based on safety dynamic evaluation in this application;

[0040] Figure 3 This is a schematic diagram of step 3 of a method for analyzing water quality in a water area based on dynamic safety evaluation in this application;

[0041] Figure 4 This is a schematic diagram of the overall framework of a water quality analysis system in a water area based on dynamic safety evaluation in this application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0043] Example 1

[0044] In order to solve the technical problems raised in the background technology, the present application provides a preferred embodiment: Figure 1-Figure 3 As shown, a method for analyzing water quality in a water area based on safety dynamic evaluation includes the following specific steps:

[0045] Step 1: Collect water quality change data and algae growth data in the water area through the data collection terminal, and obtain weather change data at the same time;

[0046] In this embodiment, the data acquisition terminal is used to collect water quality change data and algae growth data in the water area, and the specific content of obtaining weather change data is:

[0047] Step 11, collect algae growth data in the water area through the image acquisition module, the algae growth data includes the image data of the algae community, the location data of the algae community and the aggregation data of the algae community, wherein it should be specifically explained that the aggregation data of the algae community is the minimum distance between two adjacent algae communities, because the algae community sometimes does not gather into one piece in the water area, but is scattered in various positions of the water area, so the algae community of the same area must be stronger when gathered together than when scattered. At the same time, the method of obtaining the image data of the algae community needs to be specifically explained here, and the steps of obtaining the algae image in the water area by drone aerial photography are as follows:

[0048] Use the drone route planning software to plan the area you want to shoot, make sure the route covers the observed waters, and try to avoid shooting under direct sunlight at noon. It is usually recommended to shoot between 8 and 10 a.m. or between 3 and 5 p.m., so that you can get higher quality photos. Follow the planned route to shoot with the drone, and make sure the drone flies stably to get clear photos. Use software such as mart3D and Pix4D to 3D model the exported photos and generate orthophotos. Use professional image editing software to trim and adjust the color of the generated bird's-eye view to show the algae more clearly. In the processed images, use specific spectral indices or other image processing techniques to identify the bloom area.

[0049] Step 12: Collect the content of elements related to algae growth in the water body through a water quality sensor. For example, nitrogen and phosphorus are key nutrients for algae growth. Their concentration and ratio have a significant impact on the growth of algae. In addition to nitrogen and phosphorus, trace elements such as carbon, iron, magnesium, manganese and silicon also have an important impact on the growth of algae. For example, iron is an important component of nitrogenase and is crucial to the nitrogen fixation of cyanobacteria. Magnesium is an important component of chlorophyll and plays a key role in the photosynthesis of algae.

[0050] Step 13: obtaining weather data for a future time period, wherein the weather data includes temperature data. It should be noted that the weather data for a future time period can be obtained through a weather forecast;

[0051] Step 14: storing the acquired and collected data in a storage module;

[0052] Step 2: construct an algae growth assessment model to assess the algae growth based on the algae growth data;

[0053] In this embodiment, constructing an algae growth assessment model and performing algae growth assessment based on algae growth data includes the following specific steps:

[0054] Step 21, obtaining image data of algae colonies, location data of algae colonies and aggregation data of algae colonies, obtaining pixel values ​​of each pixel point of each algae colony image, and importing the obtained pixel values ​​of each pixel point of each algae colony image into the algae colony risk value calculation formula to calculate the algae colony risk value, wherein the calculation formula for the ith algae colony risk value is: , where ni is the number of pixels of the ith algae community, zij is the pixel value of the jth pixel of the ith algae community, and zm is the pixel value of the normal water body. It should be noted here that zij-zm is the difference between the pixel value of the jth pixel of the ith algae community and the pixel value of the normal water body. The algae community corresponding to the maximum algae community danger value is set as the central algae community. The pixel value anomaly of the jth pixel point representing the i-th algae community is superimposed and averaged to obtain the average value of the community pixel anomaly. Since the denser the algae community, the greater the difference in color relative to the water surface, the algae community corresponding to the largest algae community danger value is found, that is, the densest algae community is found. At the same time, the pixel value of the normal water body is the average pixel value of the water body.

[0055] Step 22, obtaining the algae community danger value and algae area data of each algae community, and obtaining the distance data of each algae community relative to the central algae community, and importing them into the algae growth abnormal value calculation formula to calculate the algae growth abnormal value, wherein the algae growth abnormal value calculation formula is: , where N is the number of algae colonies in the water area, Li is the distance data of the ith algae colony relative to the central algae colony, Lm is the perimeter of the water area, si is the area of ​​the ith algae colony, and S is the area of ​​the water area. Through this step, the algae growth situation can be accurately evaluated based on the algae growth quality data and growth aggregation degree data;

[0056] Long aggregation degree data can accurately assess the growth of algae;

[0057] Step 3, obtaining water quality change data and weather change data in the water area to analyze abnormal algae growth environment;

[0058] In this embodiment, obtaining water quality change data and weather change data in the water area to analyze the abnormal growth environment of algae includes the following specific steps:

[0059] Step 31, obtaining the content of elements related to algae growth in the water body and weather data for a future time period;

[0060] Step 32: Import the obtained content of elements related to algae growth in the water body into the algae growth environment abnormal value calculation formula to calculate the algae growth environment abnormal value, wherein the algae growth environment abnormal value calculation formula is: , where M is the type of element related to algae growth in the water body, au is the proportion coefficient of the element related to algae growth in the u-th water body, ku is the content of the element related to algae growth in the u-th water body, and kum is the median of the suitable range of the element related to algae growth in the u-th water body, where the suitable range is the safe range for normal algae growth;

[0061] Step 33, obtaining weather data for a future time period and the calculated algae growth environment abnormal value, and importing the weather data for the future time period and the algae growth environment abnormal value into the algae growth environment abnormal analysis coefficient calculation formula to calculate the algae growth environment abnormal analysis coefficient, wherein the algae growth environment abnormal analysis coefficient calculation formula is: , where Tz is the length of the future time period, Tt is the estimated temperature at time t, Tm is the median of the temperature range suitable for algae growth, and dt is the time integral;

[0062] Step 4: evaluating the abnormal growth of algae in the water body according to the obtained algae growth evaluation results and the algae growth environment abnormality analysis results, and issuing an algae growth warning according to the obtained algae growth abnormality evaluation results;

[0063] In this embodiment, the abnormal growth of algae in the water body is evaluated based on the obtained algae growth evaluation results and the abnormal analysis results of the algae growth environment, and the algae growth warning is performed based on the obtained abnormal growth evaluation results of the water body, including the following specific contents:

[0064] Obtain the calculated algae growth abnormality value and algae growth environment abnormality analysis coefficient and substitute them into the water body algae growth abnormality assessment value calculation formula to calculate the water body algae growth abnormality assessment value, wherein the water body algae growth abnormality assessment value calculation formula is: ;

[0065] Obtain the calculated water body algae growth abnormality assessment value, and compare the calculated algae growth abnormality assessment value with the set algae growth abnormality assessment threshold. If the algae growth abnormality assessment value is greater than or equal to the set algae growth abnormality assessment threshold, it means that the algae will reproduce in large quantities in the next stage, and an algae reproduction warning is issued to the water conservancy management department. If the algae growth abnormality assessment value is less than the set algae growth abnormality assessment threshold, no algae reproduction warning is issued to the water conservancy management department.

[0066] At the same time, it should be noted that in the present embodiment, the method for taking the value of the proportion coefficient of the element related to algae growth in the u-th water body and the algae growth abnormality assessment threshold is preferably: obtaining 500 sets of water quality change data, algae growth data and weather change data in the water area, calculating the water body algae growth abnormality assessment value in the water body algae growth abnormality assessment value calculation formula, obtaining the judgment result of whether the algae growth in the next stage will multiply in large quantities, importing the water body algae growth abnormality assessment value and the judgment result of whether the algae growth in the next stage will multiply in large quantities into the fitting software, and outputting the proportion coefficient of the element related to algae growth in the u-th water body and the value of the algae growth abnormality assessment threshold that meet the maximum judgment accuracy;

[0067] It is necessary to explain here that the following are some ways to deal with algae that will reproduce in large numbers in the next stage:

[0068] Physical method: by introducing clean water to flush the water body, increase the dissolved oxygen content of the water body and inhibit the growth of algae. At the same time, artificial aeration can also increase the dissolved oxygen level of the water body, which is not conducive to the growth of algae; use filters and other equipment to remove algae in the water body; use mechanical equipment (such as algae removal boats, algae removal brushes, etc.) to directly remove algae on the water surface;

[0069] Chemical method: By adding chemical reagents (such as alum, lime, etc.) into the water body, the algae are condensed and settled to the bottom of the water; specific chemical algaecides (such as copper salts, organic algaecides, etc.) are used to kill or inhibit the growth of algae. However, it should be noted that chemical methods may cause secondary pollution to the water body, and their pros and cons should be carefully evaluated when used.

[0070] The advantage of this embodiment over the prior art is that it accurately evaluates the growth of algae based on the algae growth quality data and the growth aggregation degree data, and then integrates the water quality and weather change data of the water area to predict the future development of the algae bloom, thereby improving the ability to grasp the future development of the algae bloom and the accuracy of the prediction.

[0071] Example 2

[0072] like Figure 4 As shown, a water quality analysis system for a water area based on safety dynamic evaluation is implemented based on the above-mentioned water quality analysis method for a water area based on safety dynamic evaluation, and specifically includes a data acquisition module, an algae growth assessment module, an abnormal growth environment analysis module and an algae growth warning module; wherein the data acquisition module is used to collect water quality change data and algae growth data in the water area through a data acquisition terminal, and simultaneously obtain weather change data; the algae growth assessment module is used to construct an algae growth assessment model, and perform algae growth assessment based on the algae growth data; the abnormal growth environment analysis module is used to obtain water quality change data and weather change data in the water area to perform algae growth environment abnormality analysis; the algae growth warning module is used to perform water body algae growth abnormality assessment according to the obtained algae growth assessment results and algae growth environment abnormality analysis results, and perform algae growth warning according to the obtained water body algae growth abnormality assessment results; and may also include a control module, the control module is used to control the operation of the data acquisition module, the algae growth assessment module, the abnormal growth environment analysis module and the algae growth warning module.

[0073] It should be noted that the specific steps of the method in this embodiment are described in detail in Example 1 and will not be repeated here.

[0074] Example 3

[0075] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0076] The processor executes the above-mentioned water quality analysis method in a water area based on dynamic safety evaluation by calling a computer program stored in the memory.

[0077] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement a water quality analysis method in a water area based on a safety dynamic evaluation provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0078] Example 4

[0079] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0080] When the computer program runs on a computer device, the computer device executes the above-mentioned water quality analysis method in a water area based on dynamic safety evaluation.

[0081] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0082] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0083] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0084] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A water quality analysis method in a water area based on safety dynamic evaluation, characterized in that: It includes the following specific steps: Step 1: Collect water quality change data and algae growth data in the water area through the data collection terminal, and obtain weather change data at the same time; Step 2: construct an algae growth assessment model to assess the algae growth based on the algae growth data; Step 3, obtaining water quality change data and weather change data in the water area to analyze abnormal algae growth environment; Step 4: evaluating the abnormal growth of algae in the water body according to the obtained algae growth evaluation results and the algae growth environment abnormality analysis results, and issuing an algae growth warning according to the obtained algae growth abnormality evaluation results; The algae growth assessment model is constructed, and the algae growth assessment based on the algae growth data includes the following specific steps: Step 21, obtaining image data of algae colonies, location data of algae colonies and aggregation data of algae colonies, obtaining pixel values ​​of each pixel point of each algae colony image, and importing the obtained pixel values ​​of each pixel point of each algae colony image into the algae colony risk value calculation formula to calculate the algae colony risk value, wherein the calculation formula for the ith algae colony risk value is: Among them, ni is the number of pixels of the ith algae community, zij is the pixel value of the jth pixel of the ith algae community, zm is the pixel value of the normal water body, and the algae community corresponding to the maximum algae community danger value is set as the central algae community; Step 22, obtaining the algae community danger value and algae area data of each algae community, and obtaining the distance data of each algae community relative to the central algae community, and importing them into the algae growth abnormal value calculation formula to calculate the algae growth abnormal value, wherein the algae growth abnormal value calculation formula is: , where N is the number of algae colonies in the water area, Li is the distance data of the ith algae colony relative to the central algae colony, Lm is the perimeter of the water area, si is the area of ​​the ith algae colony, and S is the area of ​​the water area; The method of obtaining water quality change data and weather change data in the water area to analyze the abnormal growth environment of algae includes the following specific steps: Step 31, obtaining the content of elements related to algae growth in the water body and weather data for a future time period; Step 32: Import the obtained content of elements related to algae growth in the water body into the algae growth environment abnormal value calculation formula to calculate the algae growth environment abnormal value, wherein the algae growth environment abnormal value calculation formula is: , where M is the type of element related to algae growth in the water body, au is the proportion coefficient of the element content related to algae growth in the u-th water body, ku is the content of the element related to algae growth in the u-th water body, and kum is the median of the suitable range of the element content related to algae growth in the u-th water body; The method of obtaining water quality change data and weather change data in the water area to analyze the abnormal growth environment of algae also includes the following specific steps: Step 33, obtaining weather data for a future time period and the calculated algae growth environment abnormal value, and importing the weather data for the future time period and the algae growth environment abnormal value into the algae growth environment abnormal analysis coefficient calculation formula to calculate the algae growth environment abnormal analysis coefficient, wherein the algae growth environment abnormal analysis coefficient calculation formula is: , where Tz is the length of the future time period, Tt is the estimated temperature at time t, Tm is the median of the temperature range suitable for algae growth, and dt is the time integral.

2. A method for analyzing water quality in a water area based on safety dynamic evaluation as claimed in claim 1, characterized in that: The specific contents of collecting water quality change data and algae growth data in the water area and obtaining weather change data through the data collection terminal are as follows: Step 11: collecting algae growth data in the water area through an image acquisition module, wherein the algae growth data includes image data of the algae colony, location data of the algae colony, and aggregation data of the algae colony; Step 12: collecting the content of elements related to algae growth in the water body through a water quality sensor; Step 13: Obtain weather data for a future time period, wherein the weather data includes temperature data; Step 14: Store the acquired and collected data in a storage module.

3. A method for analyzing water quality in a water area based on safety dynamic evaluation as claimed in claim 1, characterized in that: The method of evaluating the abnormal growth of algae in the water body according to the obtained algae growth situation evaluation result and the algae growth environment abnormality analysis result, and providing an early warning of algae growth according to the obtained algae growth abnormality evaluation result in the water body includes the following specific contents: Obtain the calculated algae growth abnormality value and algae growth environment abnormality analysis coefficient and substitute them into the water body algae growth abnormality assessment value calculation formula to calculate the water body algae growth abnormality assessment value, wherein the water body algae growth abnormality assessment value calculation formula is: ; Obtain the calculated water body algae growth abnormality assessment value, and compare the calculated algae growth abnormality assessment value with the set algae growth abnormality assessment threshold. If the algae growth abnormality assessment value is greater than or equal to the set algae growth abnormality assessment threshold, it means that the algae will multiply in large quantities in the next stage, and an algae reproduction warning will be issued to the water management department. If the algae growth abnormality assessment value is less than the set algae growth abnormality assessment threshold, no algae reproduction warning will be issued to the water management department.

4. A water quality analysis system in a water area based on safety dynamic evaluation, which is implemented based on the water quality analysis method in a water area based on safety dynamic evaluation as claimed in any one of claims 1 to 3, characterized in that: It specifically includes a data acquisition module, an algae growth assessment module, an abnormal growth environment analysis module and an algae growth early warning module; The data acquisition module is used to collect water quality change data and algae growth data in the water area through the data acquisition terminal, and simultaneously obtain weather change data; The algae growth condition assessment module is used to construct an algae growth condition assessment model and perform algae growth condition assessment based on algae growth data; The growth environment abnormality analysis module is used to obtain water quality change data and weather change data in the water area to perform algae growth environment abnormality analysis; The algae growth warning module is used to evaluate the abnormal growth of algae in the water body according to the obtained algae growth situation evaluation results and the algae growth environment abnormality analysis results, and to issue an algae growth warning according to the obtained water body algae growth abnormality evaluation results.

5. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the water quality analysis method in the water area based on dynamic safety evaluation as described in any one of claims 1 to 3 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes a water quality analysis method in a water area based on dynamic safety evaluation as described in any one of claims 1 to 3.

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