Pollution monitoring method for ecological environment of fishery water area

Abstract

The invention relates to the technical field of pollutant concentration detection, in particular to a fishery water area ecological environment pollution monitoring method, which comprises the following steps: acquiring a water flow impact force data sequence and a pollutant concentration data sequence, and obtaining the water flow turbulence degree of any detection point at any moment according to the water flow impact force data sequence, the impact degree of the water flow on the detection area at any moment is obtained, the similarity degree is obtained according to the first pollutant concentration data sequence and the first impact degree sequence, and the polluted water area is obtained according to the first pollutant concentration data sequence and the similarity degree. On the basis of detecting the concentration of water-insoluble pollutants in a fishing ground, the influence of the change of the water flow rate on the pollutant sampler is eliminated, so that the influence on the pollutant concentration is eliminated, and the optimization of pollutant concentration detection is completed.

Description

Technical Field

[0001] The invention relates to the technical field of pollutant concentration detection, and in particular to a method for monitoring the pollution of the ecological environment of fishery waters. Background Art

[0002] In modern fishery management, the detection of pollutants in fisheries has become an important industry demand. The technology for detecting pollutants in fisheries is constantly developing, involving technologies and methods in multiple fields. The application of these technologies can help fishery managers better understand and grasp the pollution situation of fishery water bodies and take corresponding measures for environmental protection and sustainable development. However, these technologies are often not good at solving some practical problems and it is difficult to eliminate the influence of some natural factors.

[0003] When testing the concentration of water-insoluble pollutants in artificial fisheries, the terrain in the fisheries and many other factors will cause certain changes in the speed of the water flow. The impact of the water flow will affect the sensitivity of the sensor of the pollutant sampler, thereby reducing the concentration of the target pollutant in the water collected by the sensor. At the same time, high-speed water flow will reduce the measurement performance of the sensor of the pollutant sampler. For example, the common concentration data obtained based on the average time, in high-speed flowing water bodies, its shorter sampling time window is likely to lead to low measurement results, so the original data monitored by the sensor cannot reflect the actual pollutant concentration. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method for monitoring the pollution of the ecological environment of fishery waters.

[0005] A method for monitoring the pollution of the ecological environment of fishery waters of the present invention adopts the following technical scheme: An embodiment of the present invention provides a method for monitoring pollution of the ecological environment of fishery waters, the method comprising the following steps: Collecting a water flow impact force data sequence and a pollutant concentration data sequence, wherein the water flow impact force data sequence is collected at a detection point by a multi-axis force sensor; According to the mean of the water flow impact force data of the water flow impact force data series of all multi-axis force sensors at any detection point at any time, the turbulence of the water flow at any detection point at any time is obtained; According to the difference in water turbulence at adjacent detection points at any time and the pollutant concentration data sequence, the impact of water flow on the detection area at any time is obtained; Acquire a first pollutant concentration data sequence and a first impact degree sequence, and obtain a similarity between the first pollutant concentration data sequence and the first impact degree sequence according to the first pollutant concentration data sequence and the first impact degree sequence; According to the first pollutant concentration data sequence, the similarity between the first pollutant concentration data sequence and the first impact degree sequence, the pollutant concentration data when the target detection water area is affected by the stable water flow at any time is obtained; The polluted water area is obtained based on the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time.

[0006] Furthermore, the acquisition of the water flow impact force data sequence and the pollutant concentration data sequence includes the following specific steps: In the river channel of the artificial fishery, every TH1 meter from upstream to downstream is used as a detection point, and multiple multi-axis force sensors are arranged at each detection point. Multiple multi-axis force sensors are also arranged in the target detection water area, and a pollutant sampler is arranged. The detection points are all upstream of the target detection water area, and TH1 is the preset river channel distance; The multi-axis force sensor is used to output a water flow impact force data every TH2 seconds, and the time series consisting of all the water flow impact force data collected within the last TH3 hours is recorded as the water flow impact force data sequence of each multi-axis force sensor, TH2 is the preset first time, and TH3 is the preset second time; Collect pollutant concentration data series.

[0007] Furthermore, the water flow impact force data is specifically obtained in the following manner: When the multi-axis force sensor is detecting, the sensor itself will obtain the impact force of water flow in multiple directions. The impact force of water flow in all directions is summed up by vector addition, and the modulus of the obtained vector is used as a water flow impact force data.

[0008] Furthermore, the collecting of pollutant concentration data sequence includes the following specific steps: The pollutant sampler is used to output the pollutant concentration data of a target detection area every TH2 seconds, and the time series consisting of all pollutant concentration data collected within the last TH3 hours is recorded as the pollutant concentration data sequence of the target detection area.

[0009] Furthermore, the method of obtaining the turbulence of water flow at any detection point at any time according to the mean of the water flow impact force data of the water flow impact force data sequence of all multi-axis force sensors at any detection point at any time comprises the following specific steps: In the formula, is the water flow impact force data at the tth moment in the water flow impact force data sequence of the nth multi-axis force sensor at any detection point, is the total number of multi-axis force sensors in the detection point, is the turbulence of water flow at the detection point at the tth moment.

[0010] Furthermore, the method of obtaining the impact degree of water flow on the detection area at any moment according to the difference in water flow turbulence at adjacent detection points at any moment and the pollutant concentration data sequence includes the following specific steps: In the formula, is the turbulence of the water flow at the first detection point at time t, is the turbulence of the water flow at the second detection point at time t, is the turbulence of the water flow at the xn-1th detection point at the tth moment, is the turbulence of the water flow at the xnth detection point at the tth moment, xn is the total number of detection points, is the pollutant concentration data at the tth moment in the pollutant concentration data sequence, The method for obtaining is as follows: calculate the variance of the pollutant concentration data at each th consecutive moment in the pollutant concentration data sequence, th is a preset first value, and the value of th is an odd number, obtain the middle moment of all the pollutant concentration data at th consecutive moments, and record the middle moment that is closest to the tth moment and has the smallest variance of the pollutant concentration data at th consecutive moments as , is the impact degree of water flow on the detection area at the tth moment, To take the absolute value.

[0011] Furthermore, the specific method of obtaining the first pollutant concentration data sequence and the first impact degree sequence is as follows: Will The corresponding moment is recorded as the first reference moment. The corresponding moment is recorded as the current moment, and the pollutant concentration data sequence from the first reference moment to the current moment is obtained, recorded as the first pollutant concentration data sequence, and the impact degree sequence of the water flow on the detection area is obtained. The impact degree sequence from the first reference moment to the current moment is obtained, recorded as the first impact degree sequence.

[0012] Furthermore, the obtaining of the similarity between the first pollutant concentration data sequence and the first impact degree sequence according to the first pollutant concentration data sequence and the first impact degree sequence comprises the following specific steps: Obtain the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence, record the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence as r, and take the opposite of r as the similarity between the first pollutant concentration data sequence and the first impact degree sequence.

[0013] Furthermore, the step of obtaining the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time according to the first pollutant concentration data sequence, the similarity between the first pollutant concentration data sequence and the first impact degree sequence includes the following specific steps: In the formula, is the pollutant concentration data at the tth moment in the pollutant concentration data sequence, is the absolute value of the difference between the pollutant concentration data at the first moment and the pollutant concentration data at the last moment in the first pollutant concentration data sequence, is the similarity between the first pollutant concentration data series and the first impact degree series, It is the pollutant concentration data of the target detection water area when it is affected by the stable water flow at the tth moment.

[0014] Furthermore, the polluted water area is obtained according to the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time, and the specific steps include the following: The preset standard value is denoted as ,like , indicating that the pollutant concentration in the target detection water area exceeds the standard, and the target detection water area with the pollutant concentration exceeding the standard is recorded as a polluted water area. It is the pollutant concentration data of the target detection water area when it is affected by the stable water flow at the tth moment.

[0015] The beneficial effects of the technical solution of the present invention are as follows: the present invention obtains the turbulence of water flow at any detection point at any time according to the water flow impact force data sequence of all multi-axis force sensors in any detection point, and the turbulence of water flow can reflect the water flow velocity of the artificial fishery river channel. According to the difference in the turbulence of water flow at any time between adjacent detection points and the pollutant concentration data sequence, the impact degree of water flow on the detection area at any time is obtained. The impact degree takes into account the influence of pollutant concentration data, and the impact degree can reflect the influence of the turbulence of water flow on the pollutant sampler. According to the first pollutant concentration data sequence, the first pollutant concentration data sequence and the first impact degree sequence, the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time is obtained. By detecting the concentration of water-insoluble pollutants in the fishery, the influence of the change of water flow velocity on the pollutant sampler is eliminated, and then the influence on the size of the pollutant concentration is eliminated, and the optimization of the pollutant concentration detection is completed. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of the steps of a method for monitoring pollution of the ecological environment of fishery waters provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the pollution monitoring method for the ecological environment of fishery waters proposed by the present invention, its specific implementation method, structure, characteristics and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The specific scheme of the pollution monitoring method for the ecological environment of fishery waters provided by the present invention is described in detail below with reference to the accompanying drawings.

[0021] See also Figure 1 , which shows a flowchart of a method for monitoring pollution of the ecological environment of fishery waters provided by an embodiment of the present invention, the method comprising the following steps: Step S001, collecting water flow impact force data series and pollutant concentration data series.

[0022] It should be noted that the present invention eliminates the influence of changes in water flow rate on the pollutant sampler on the basis of detecting the concentration of water-insoluble pollutants in the fishery, thereby completing the optimization of pollutant concentration detection. First, it is necessary to collect relevant data and perform certain preprocessing.

[0023] Specifically, in the river channel of the artificial fishery, every TH1 meter of water area from upstream to downstream is taken as a detection point, and multiple multi-axis force sensors are deployed at each detection point. In this embodiment, the deployment of 6 multi-axis force sensors is taken as an example for explanation. By deploying multiple multi-axis force sensors, the data collected by the sensors can more accurately reflect the real data. Multiple multi-axis force sensors are also deployed in the target detection water area, and a pollutant sampler is deployed. It should be noted that the target detection water area is downstream of the river channel of the artificial fishery, and the above-mentioned detection points are all upstream of the target detection water area, and the target detection water area is also 50 meters away from the nearest detection point. It should be noted that this implementation is described using the preset river channel distance TH1=50 as an example.

[0024] It should be noted that in this embodiment, the water flow becomes more and more turbulent from upstream to downstream. The pollutant sampler and the multi-axis force sensor can be deployed below the water surface close to the fish activity area. This can not only eliminate the interference of floating objects at the water surface, but also be closer to the fish activity area to make the monitoring results more accurate.

[0025] Furthermore, a multi-axis force sensor is used to output a water flow impact force data every TH2 seconds, wherein the water flow impact force data is specifically obtained as follows: since the multi-axis force sensor itself will obtain water flow impact forces in multiple directions during detection, the water flow impact forces in all directions are summed by vector addition, and the modulus of the obtained vector is used as a water flow impact force data, and the time series consisting of all water flow impact force data collected within the last hour is recorded as a water flow impact force data sequence. It should be noted that a multi-axis force sensor outputs a water flow impact force data sequence, and multiple multi-axis force sensors output multiple water flow impact force data sequences. It should be noted that TH2 is the preset first time, and this implementation is described using TH2=10 as an example.

[0026] The pollutant sampler is used to output the pollutant concentration data of a target detection area every TH2 seconds, and the time series consisting of all pollutant concentration data collected within the last TH3 hours is recorded as the pollutant concentration data sequence of the target detection area. It should be noted that TH3 is the preset second time, and this implementation is described by taking TH3=1 as an example.

[0027] At this point, the water flow impact force data series and pollutant concentration data series are obtained.

[0028] Step S002: Obtain the degree of water flow turbulence at any detection point at any time according to the mean of the water flow impact force data of the water flow impact force data series of all multi-axis force sensors at any detection point at any time.

[0029] It should be noted that the core logic of this embodiment is to correct the errors in actual detection by calculating the impact of water flow under different turbulence levels on pollutant detection. The specific implementation requires first calculating the turbulence of water flow at different detection locations in the same water area based on the multi-axis force sensor data, and then calculating the degree of water flow impact in the detection area according to the changes in the turbulence of water flow at different detection locations and the changes in pollutant concentration in the detection area. Then, based on the similarity between the changes in the degree of water flow impact and the changes in pollutant concentration in the detection area over a period of time, calculate the pollutant concentration when affected by stable water flow, and finally make a judgment on it.

[0030] It should be noted that the turbulence of water flow at different locations in the same river basin of the fishery is calculated through the water flow impact force data received by multiple multi-axis force sensors. The turbulence of water flow can reflect the water flow speed in the river channel of the artificial fishery.

[0031] Specifically, the turbulence of the water flow at any detection point at any time is obtained according to the mean value of the water flow impact force data sequence of all multi-axis force sensors at any detection point at any time, as follows: In the formula, is the water flow impact force data at the tth moment in the water flow impact force data sequence of the nth multi-axis force sensor at any detection point, is the total number of multi-axis force sensors in the detection point, is the turbulence of water flow at the detection point at the tth moment.

[0032] It should be noted that the greater the water flow impact force data of the multi-axis force sensor, the greater the turbulence of the water flow at the detection point.

[0033] At this point, the turbulence of water flow at any detection point at any time is obtained.

[0034] Step S003: According to the difference in water flow turbulence at adjacent detection points at any time and the pollutant concentration data sequence, the impact degree of the water flow on the detection area at any time is obtained.

[0035] It should be noted that the impact of water flows with different turbulence levels on the detection area is calculated from the change in water turbulence at different detection points and the change in pollutant concentration in the target detection area. The impact degree can reflect the impact of water turbulence on the pollutant sampler, which in turn will affect the pollutant concentration. The pollutant concentration under the influence of stable water flow is calculated by using the similarity between the change in the impact degree of water flow in the target detection area over a period of time and the change in pollutant concentration in the target detection area.

[0036] Specifically, according to the difference in water turbulence at adjacent detection points at any time and the pollutant concentration data sequence, the impact of water flow on the detection area at any time is obtained, as follows: In the formula, is the turbulence of the water flow at the first detection point at time t, is the turbulence of the water flow at the second detection point at time t, is the turbulence of the water flow at the xn-1th detection point at the tth moment, is the turbulence of the water flow at the xnth detection point at the tth moment, xn is the total number of detection points, is the pollutant concentration data at the tth moment in the pollutant concentration data sequence, The method for obtaining is as follows: calculate the variance of the pollutant concentration data at each th consecutive moment in the pollutant concentration data sequence, th is a preset first value, and this embodiment is illustrated with th=5. It should be noted that the value of th is an odd number, and the middle moment of all the pollutant concentration data at th consecutive moments is obtained, and the middle moment that is closest to the tth moment and has the smallest variance of the pollutant concentration data at th consecutive moments is recorded as , is the impact degree of water flow on the detection area at the tth moment, To take the absolute value.

[0037] It should be noted that It reflects the pollutant concentration data when affected by stable water flow. The greater the difference between the turbulence degree of the last detection interval at time t and the turbulence degree of the first detection interval, the greater the impact of the water flow on the detection area at a certain moment. The impact degree takes into account the pollutant concentration in the detection area and can reflect the impact of the water flow velocity on the pollutant sampler.

[0038] At this point, the impact degree of water flow on the detection area at any moment is obtained.

[0039] Step S004: Acquire a first pollutant concentration data sequence and a first impact degree sequence, and obtain the degree of similarity between the first pollutant concentration data sequence and the first impact degree sequence based on the first pollutant concentration data sequence and the first impact degree sequence.

[0040] It should be noted that by calculating the similarity between the changes in the degree of water flow impact in the detection area and the changes in the pollutant concentration in the detection area over a period of time (from the last time it was affected by stable water flow to the current monitoring time), the correlation between the changes in the degree of water flow impact and the changes in pollutant concentration is obtained through calculation of the similarity, which is used to correct the accurate pollutant concentration data.

[0041] Specifically, The corresponding moment is recorded as the first reference moment. The corresponding moment is recorded as the current moment, and the pollutant concentration data sequence from the first reference moment to the current moment is obtained, recorded as the first pollutant concentration data sequence, and the impact degree sequence of the water flow on the detection area is obtained. The impact degree sequence from the first reference moment to the current moment is obtained, recorded as the first impact degree sequence, and the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence is obtained.

[0042] Furthermore, according to the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence, the correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence is obtained, which is specifically as follows: The Pearson correlation coefficient between the first pollutant concentration data sequence and the first impact degree sequence is denoted as r, and the inverse of r is taken as the similarity between the first pollutant concentration data sequence and the first impact degree sequence.

[0043] It should be noted that since the water flow impact degree and pollutant concentration are negatively correlated, the Pearson correlation coefficient between the two will be between [-1,0]. Therefore, the opposite of r is used as the similarity between the first pollutant concentration data series and the first impact degree series.

[0044] At this point, the degree of similarity is obtained.

[0045] Step S005: According to the first pollutant concentration data sequence, the similarity between the first pollutant concentration data sequence and the first impact degree sequence, the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time is obtained.

[0046] It should be noted that since the impact of water flow may affect the sensitivity of the pollutant sampler's sensor, high-speed water flow will reduce the measurement performance of the pollutant sampler's sensor, and then the pollutant concentration detection in the water will be reduced to a certain extent relative to the actual concentration, resulting in certain areas with excessive pollutant content cannot be detected normally. Therefore, it is necessary to correct the pollutant concentration data obtained by sampling according to the water flow rate.

[0047] Specifically, according to the first pollutant concentration data sequence, the similarity between the first pollutant concentration data sequence and the first impact degree sequence, the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time is obtained, as follows: In the formula, is the pollutant concentration data at the tth moment in the pollutant concentration data sequence, is the absolute value of the difference between the pollutant concentration data at the first moment and the pollutant concentration data at the last moment in the first pollutant concentration data sequence, is the similarity between the first pollutant concentration data series and the first impact degree series, It is the pollutant concentration data of the target detection water area when it is affected by the stable water flow at the tth moment.

[0048] It should be noted that the change in pollutant concentration detected over a period of time may be due to the influence of water flow velocity. At this time, the higher the similarity between the change relationship between the pollutant concentration data detected over a period of time and the impact degree data, the greater the influence of the water flow velocity on the corresponding detection data, and the greater the degree to which the corresponding detection data is biased, so the greater the correction amount.

[0049] The greater the similarity degree P, the closer the relationship between the reduction of pollutant concentration sampling value and the degree of water flow impact is, which means that the increase in the degree of water flow impact will cause the pollutant concentration obtained by sampling to have a larger deviation from the actual value, and more pollutant concentrations will need to be corrected. When the pollutant detection area, i.e. the target detection water area, is affected by stable water flow, the pollutant concentration will also have more changes compared to the direct sampling value.

[0050] By correcting the pollutant concentration data detected by the sensor, the influence of water flow velocity on the detection concentration data is utilized. According to the similarity between the changes in pollutant concentration data and water flow velocity data, the degree to which the pollutant concentration change is affected by the water flow velocity is reflected, thereby quantifying the amount of detection data that is too small due to the water flow velocity, that is, obtaining an accurate correction amount for the detection data, and ultimately obtaining more accurate pollutant concentration data.

[0051] At this point, the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time is obtained.

[0052] Step S006: obtaining the polluted water area according to the pollutant concentration data when the target detection water area is affected by the stable water flow at any time.

[0053] It should be noted that the above-mentioned pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time is obtained, and the target detection water area is evaluated by comparing with the preset standard value.

[0054] Specifically, the preset standard value is recorded as In this embodiment, Narrate, if , it means that after excluding the influence of changes in the turbulence of the water flow, the pollutant concentration in the target detection water area exceeds the preset standard value, which means that the pollutant concentration in the target detection water area exceeds the standard. The target detection water area with excessive pollutant concentration is recorded as a polluted water area. Subsequently, the water environment treatment of the water area with excessive pollutant concentration can be optimized to reduce the concentration of pollutants.

[0055] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring the ecological environment of fishery waters, characterized in that: The method comprises the following steps: Collecting a water flow impact force data sequence and a pollutant concentration data sequence, wherein the water flow impact force data sequence is collected at a detection point by a multi-axis force sensor; According to the mean of the water flow impact force data of the water flow impact force data series of all multi-axis force sensors at any detection point at any time, the turbulence of the water flow at any detection point at any time is obtained; According to the difference in water turbulence at adjacent detection points at any time and the pollutant concentration data sequence, the impact of water flow on the detection area at any time is obtained; Acquire a first pollutant concentration data sequence and a first impact degree sequence, and obtain a similarity between the first pollutant concentration data sequence and the first impact degree sequence according to the first pollutant concentration data sequence and the first impact degree sequence; According to the first pollutant concentration data sequence, the similarity between the first pollutant concentration data sequence and the first impact degree sequence, the pollutant concentration data when the target detection water area is affected by the stable water flow at any time is obtained; The polluted water area is obtained based on the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time.

2. A method for monitoring the ecological environment of fishery waters according to claim 1, characterized in that: The specific steps of collecting the water flow impact force data sequence and the pollutant concentration data sequence are as follows: In the river channel of the artificial fishery, every TH1 meter from upstream to downstream is used as a detection point, and multiple multi-axis force sensors are arranged at each detection point. Multiple multi-axis force sensors are also arranged in the target detection water area, and a pollutant sampler is arranged. The detection points are all upstream of the target detection water area, and TH1 is the preset river channel distance; The multi-axis force sensor is used to output a water flow impact force data every TH2 seconds, and the time series consisting of all the water flow impact force data collected within the last TH3 hours is recorded as the water flow impact force data sequence of each multi-axis force sensor, TH2 is the preset first time, and TH3 is the preset second time; Collect pollutant concentration data series.

3. A method for monitoring the ecological environment of fishery waters according to claim 2, characterized in that: The specific method for obtaining the water flow impact force data is as follows: When the multi-axis force sensor is detecting, the sensor itself will obtain the impact force of water flow in multiple directions. The impact force of water flow in all directions is summed up by vector addition, and the modulus of the obtained vector is used as a water flow impact force data.

4. A method for monitoring the ecological environment of fishery waters according to claim 2, characterized in that: The specific steps of collecting pollutant concentration data sequence are as follows: The pollutant sampler is used to output the pollutant concentration data of a target detection area every TH2 seconds, and the time series consisting of all pollutant concentration data collected within the last TH3 hours is recorded as the pollutant concentration data sequence of the target detection area.

5. A method for monitoring the ecological environment of fishery waters according to claim 1, characterized in that: The method of obtaining the turbulence of water flow at any detection point at any time according to the mean of the water flow impact force data of all multi-axis force sensors at any detection point at any time includes the following specific steps: In the formula, is the water flow impact force data at the tth moment in the water flow impact force data sequence of the nth multi-axis force sensor at any detection point, is the total number of multi-axis force sensors in the detection point, is the turbulence of water flow at the detection point at the tth moment.

6. A method for monitoring the pollution of the ecological environment of fishery waters according to claim 1, characterized in that: The method of obtaining the impact degree of water flow on the detection area at any moment according to the difference in water flow turbulence at adjacent detection points at any moment and the pollutant concentration data sequence includes the following specific steps: In the formula, is the turbulence of the water flow at the first detection point at time t, is the turbulence of the water flow at the second detection point at time t, is the turbulence of the water flow at the xn-1th detection point at the tth moment, is the turbulence of the water flow at the xnth detection point at the tth moment, xn is the total number of detection points, is the pollutant concentration data at the tth moment in the pollutant concentration data sequence, The method for obtaining is as follows: calculate the variance of the pollutant concentration data at each th consecutive moment in the pollutant concentration data sequence, th is a preset first value, and the value of th is an odd number, obtain the middle moment of all the pollutant concentration data at th consecutive moments, and record the middle moment that is closest to the tth moment and has the smallest variance of the pollutant concentration data at th consecutive moments as , is the impact degree of water flow on the detection area at the tth moment, To take the absolute value.

7. A method for monitoring the ecological environment of fishery waters according to claim 6, characterized in that: The specific method of obtaining the first pollutant concentration data sequence and the first impact degree sequence is as follows: Will The corresponding moment is recorded as the first reference moment. The corresponding moment is recorded as the current moment, and the pollutant concentration data sequence from the first reference moment to the current moment is obtained, recorded as the first pollutant concentration data sequence, and the impact degree sequence of the water flow on the detection area is obtained. The impact degree sequence from the first reference moment to the current moment is obtained, recorded as the first impact degree sequence.

8. A method for monitoring the ecological environment of fishery waters according to claim 6, characterized in that: The step of obtaining the similarity between the first pollutant concentration data sequence and the first impact degree sequence according to the first pollutant concentration data sequence and the first impact degree sequence comprises the following specific steps: Obtain the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence, record the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence as r, and take the opposite of r as the similarity between the first pollutant concentration data sequence and the first impact degree sequence.

9. A method for monitoring the pollution of the ecological environment of fishery waters according to claim 1, characterized in that: The step of obtaining the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time according to the first pollutant concentration data sequence, the similarity between the first pollutant concentration data sequence and the first impact degree sequence includes the following specific steps: In the formula, is the pollutant concentration data at the tth moment in the pollutant concentration data sequence, is the absolute value of the difference between the pollutant concentration data at the first moment and the pollutant concentration data at the last moment in the first pollutant concentration data sequence, is the similarity between the first pollutant concentration data series and the first impact degree series, It is the pollutant concentration data of the target detection water area when it is affected by the stable water flow at the tth moment.

10. A method for monitoring the pollution of the ecological environment of fishery waters according to claim 1, characterized in that: The polluted water area is obtained according to the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time, and the specific steps include the following: The preset standard value is denoted as ,like , indicating that the pollutant concentration in the target detection water area exceeds the standard, and the target detection water area with the pollutant concentration exceeding the standard is recorded as a polluted water area. It is the pollutant concentration data of the target detection water area when it is affected by the stable water flow at the tth moment.

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