A method for monitoring the pollution of the ecological environment of fishery waters

Abstract

The present invention relates to the technical field of pollutant concentration detection, and specifically relates to a pollution monitoring method for the ecological environment of fishery waters, including: collecting a water flow impact force data sequence and a pollutant concentration data sequence, obtaining the degree of water flow turbulence at any detection point at any moment according to the water flow impact force data sequence, obtaining the impact degree of the water flow on the detection area at any moment, obtaining the similarity degree according to the first pollutant concentration data sequence and the first impact degree sequence, and obtaining the polluted water area according to the first pollutant concentration data sequence and the similarity degree. On the basis of detecting the concentration of water-insoluble pollutants in the fishing ground, the present invention eliminates the influence of the change in water flow velocity on the pollutant sampler, and further eliminates the influence on the magnitude of the pollutant concentration, thereby completing the optimization of the pollutant concentration detection.

Description

Technical Field

[0001] The present invention relates to the technical field of pollutant concentration detection, and particularly 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 fishing grounds has become an important industry requirement. The technologies for detecting pollutants in fishing grounds are constantly evolving, involving technologies and methods in multiple fields. The application of these technologies can help fishery managers better understand and master the pollution situation of the water bodies in fishing grounds and take corresponding measures for environmental protection and sustainable development. However, these technologies often have difficulty solving some practical problems and it is hard to exclude the influence of some natural factors.

[0003] When detecting the concentration of water-insoluble pollutants in artificial fishing grounds, due to the terrain and other various factors in the fishing grounds, the speed of water flow will change to a certain extent. The impact of water flow will affect the sensitivity of the sensors of the pollutant sampler, resulting in a decrease in the concentration of the target pollutants in the water collected by the sensors. At the same time, high-speed water flow will reduce the measurement performance of the sensors of the pollutant sampler. For example, for the concentration data obtained based on the average time, in a high-speed flowing water body, its short sampling time window is likely to lead to a low measurement result. Therefore, the original data monitored by the sensors cannot reflect the true pollutant concentration. Summary of the Invention

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

[0005] The method for monitoring the pollution of the ecological environment of fishery waters of the present invention adopts the following technical solution:

[0006] An embodiment of the present invention provides a method for monitoring the pollution of the ecological environment of fishery waters, and the method includes the following steps:

[0007] Collect a water flow impact force data sequence and a pollutant concentration data sequence, where the water flow impact force data sequence is collected at a detection point by a multi-axis force sensor;

[0008] Obtain the turbulence degree of the water flow at any detection point at any moment according to the mean value of the water flow impact force data of all multi-axis force sensors at any detection point at any moment in the water flow impact force data sequence;

[0009] Obtain the impact degree of the water flow on the detection area at any moment according to the difference in the turbulence degree of the water flow at adjacent detection points at any moment and the pollutant concentration data sequence;

[0010] Obtain the first pollutant concentration data sequence and the first shock degree sequence. According to the first pollutant concentration data sequence and the first shock degree sequence, obtain the similarity degree between the first pollutant concentration data sequence and the first shock degree sequence.

[0011] According to the first pollutant concentration data sequence and the similarity degree between the first pollutant concentration data sequence and the first shock degree sequence, obtain the pollutant concentration data when the target detection water area is affected by stable water flow at any moment.

[0012] According to the pollutant concentration data when the target detection water area is affected by stable water flow at any moment, obtain the polluted water area.

[0013] Furthermore, the specific steps for collecting the water flow impact force data sequence and the pollutant concentration data sequence are as follows:

[0014] Set a detection point every TH1 meters from the upstream to the downstream of the river channel in the artificial fishing ground. Install multiple multi-axis force sensors at each detection point, and also install multiple multi-axis force sensors in the target detection water area. Install a pollutant sampler. All the detection points are upstream of the target detection water area, and TH1 is the preset river channel distance.

[0015] Use the multi-axis force sensors to output a water flow impact force data every TH2 seconds. The time series sequence composed of all the water flow impact force data collected in the most recent 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.

[0016] Collect the pollutant concentration data sequence.

[0017] Furthermore, the specific method for obtaining the water flow impact force data is as follows:

[0018] When the multi-axis force sensors are detecting, the sensors themselves will obtain water flow impact forces in multiple different directions. Add up all the water flow impact forces in different directions through vector addition, and take the modulus of the obtained vector as a water flow impact force data.

[0019] Furthermore, the specific steps for collecting the pollutant concentration data sequence are as follows:

[0020] Use the pollutant sampler to output a pollutant concentration data of the target detection area every TH2 seconds. The time series sequence composed of all the pollutant concentration data collected in the most recent TH3 hours is recorded as the pollutant concentration data sequence of the target detection area.

[0021] Further, obtaining the water flow turbulence degree at any detection point at any moment according to the mean value of the water flow impact force data of all multi-axis force sensors at any detection point at any moment includes the following specific steps:

[0022]

[0023] In the formula, is the water flow impact force data at the t-th moment in the water flow impact force data sequence of the n-th multi-axis force sensor at any detection point, is the total number of multi-axis force sensors at the detection point, is the water flow turbulence degree at the detection point at the t-th moment.

[0024] Further, obtaining the impact degree of the water flow on the detection area at any moment according to the difference in the water flow turbulence degree at any moment between adjacent detection points and the pollutant concentration data sequence includes the following specific steps:

[0025]

[0026] In the formula, is the water flow turbulence degree at the first detection point at the t-th moment, is the water flow turbulence degree at the second detection point at the t-th moment, is the water flow turbulence degree at the (xn - 1)-th detection point at the t-th moment, is the water flow turbulence degree at the xn-th detection point at the t-th moment, where xn is the total number of detection points, is the pollutant concentration data at the t-th moment in the pollutant concentration data sequence, The obtaining method of is as follows: Calculate the variance of the pollutant concentration data at every consecutive th moments 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 among all consecutive th moments of the pollutant concentration data, and record the pollutant concentration data at the middle moment closest to the t-th moment and with the smallest variance of the pollutant concentration data for consecutive th moments as , is the impact degree of the water flow on the detection area at the t-th moment, is to take the absolute value.

[0027] Further, the specific method for obtaining the first pollutant concentration data sequence and the first impact degree sequence is as follows:

[0028] Record the moment corresponding to as the first reference moment, and record the moment corresponding to The corresponding moment is recorded as the current moment. Obtain the pollutant concentration data sequence from the first reference moment to the current moment, denoted as the first pollutant concentration data sequence. Obtain the sequence of the impact degree of the water flow on the detection area, and obtain the sequence of the impact degree from the first reference moment to the current moment, denoted as the first impact degree sequence.

[0029] Further, obtaining the similarity degree between the first pollutant concentration data sequence and the first impact degree sequence includes the following specific steps:

[0030] Obtain the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence. Denote the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence as r, and take the opposite number of r as the similarity degree between the first pollutant concentration data sequence and the first impact degree sequence.

[0031] Further, obtaining the pollutant concentration data when the target detection water area is affected by stable water flow at any moment according to the first pollutant concentration data sequence and the similarity degree between the first pollutant concentration data sequence and the first impact degree sequence includes the following specific steps:

[0032]

[0033] In the formula, is the pollutant concentration data at the t-th 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 degree between the first pollutant concentration data sequence and the first impact degree sequence, is the pollutant concentration data when the target detection water area is affected by stable water flow at the t-th moment.

[0034] Further, obtaining the polluted water area according to the pollutant concentration data when the target detection water area is affected by stable water flow at any moment includes the following specific steps:

[0035] Preset a standard value, denoted as , if , it indicates that the pollutant concentration in the target detection water area exceeds the standard. Denote the target detection water area with the pollutant concentration exceeding the standard as the polluted water area, is the pollutant concentration data when the target detection water area is affected by stable water flow at the t-th moment.

[0036] The beneficial effects of the technical solution of the present invention are as follows: The present invention obtains the degree of water flow turbulence at any detection point at any moment based on the water flow impact force data sequences of all multi-axis force sensors in any detection point. The degree of water flow turbulence can reflect the water flow velocity situation of the artificial fishing ground river course. According to the difference in the degree of water flow turbulence at adjacent detection points at any moment and the pollutant concentration data sequence, the impact degree of the water flow on the detection area at any moment is obtained. The impact degree takes into account the influence of the pollutant concentration data, and the impact degree can reflect the influence of the water flow turbulence degree on the pollutant sampler. According to the similarity degree of the first pollutant concentration data sequence, 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 a stable water flow at any moment is obtained. Based on the detection of the concentration of pollutants insoluble in water in the fishing ground, the influence of the change in water flow velocity on the pollutant sampler is eliminated, and further the influence on the magnitude of the pollutant concentration is eliminated, thereby completing the optimization of the pollutant concentration detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0038] Figure 1 It is a flowchart of the steps of a method for monitoring the pollution of the ecological environment of fishery waters provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will, in conjunction with the drawings and preferred embodiments, detail the specific implementation manner, structure, characteristics and effects of a method for monitoring the pollution of the ecological environment of fishery waters proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0041] The following will specifically describe the specific solution of a method for monitoring the pollution of the ecological environment of fishery waters provided by the present invention with reference to the drawings.

[0042] Please refer to Figure 1, which shows a step flow chart of a method for monitoring the pollution of the ecological environment of fishery waters provided by an embodiment of the present invention. The method includes the following steps:

[0043] Step S001, collect a water flow impact force data sequence and a pollutant concentration data sequence.

[0044] It should be noted that based on the detection of the concentration of pollutants insoluble in water in the fishing ground, the present invention eliminates the influence of the change in water flow velocity on the pollutant sampler, so as to complete the optimization of the pollutant concentration detection. First, relevant data need to be collected and certain preprocessing is required.

[0045] Specifically, the water area every TH1 meters from the upstream to the downstream of the river channel in the artificial fishing ground is used as a detection point. In this embodiment, taking the arrangement of 6 multi-axis force sensors as an example, by arranging 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 arranged in the target detection water area, and a pollutant sampler is arranged. It should be noted that the target detection water area is downstream of the river channel in the artificial fishing ground, and the above detection points are all upstream of the target detection water area, and the interval between the target detection water area and the nearest detection point is also 50 meters. It should be noted that this embodiment is described taking the preset river channel distance TH1 = 50 as an example.

[0046] It should be noted that in this embodiment, the water flow is more turbulent from the upstream to the downstream. The pollutant sampler and the multi-axis force sensors can be deployed at a position below the water surface close to the fish activity area. This can not only exclude the interference of floating objects at the water surface position, but also be closer to the fish activity area to make the monitoring results more accurate.

[0047] Furthermore, a water flow impact force data is output by the multi-axis force sensor every TH2 seconds. The specific acquisition of the water flow impact force data is as follows: Since the multi-axis force sensor will obtain water flow impact forces in multiple different 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. The time series sequence composed of all the water flow impact force data collected within the most recent 1 hour is recorded as the water flow impact force data sequence. It should be noted that one multi-axis force sensor outputs one 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 embodiment is described taking TH2 = 10 as an example.

[0048] Using a pollutant sampler, a pollutant concentration data of a target detection area is output every TH2 seconds, and a time series formed by all the pollutant concentration data collected in the most recent TH3 hours is recorded as the pollutant concentration data sequence of the target detection area. It should be noted that TH3 is a preset second time, and in this implementation, TH3 = 1 is used for description.

[0049] Thus, a water flow impact force data sequence and a pollutant concentration data sequence are obtained.

[0050] Step S002: According to the average value of the water flow impact force data of all multi-axis force sensors at any moment in the water flow impact force data sequence of any one detection point, the water flow turbulence degree of any one detection point at any moment is obtained.

[0051] It should be noted that the core logic of this embodiment is to correct the error in actual detection by calculating the influence of water flow on pollutant detection under different turbulence degrees. The specific implementation first needs to calculate the water flow turbulence degrees at different detection positions in the same water area based on the multi-axis force sensor data, then calculate the water flow impact degree of the detection area according to the change of the water flow turbulence degree at different detection positions and the change of the pollutant concentration in the detection area, and then calculate the pollutant concentration when affected by a stable water flow according to the similarity between the change of the water flow impact degree and the change of the pollutant concentration in the detection area over a period of time, and finally make a determination on it.

[0052] It should be noted that the water flow turbulence degrees of the water flow at different positions in the same basin of the fishing ground are calculated through the water flow impact force data received by multiple multi-axis force sensors, and the water flow turbulence degree can reflect the water flow speed of the artificial fishing ground river course.

[0053] Specifically, according to the average value of the water flow impact force data of all multi-axis force sensors at any moment in the water flow impact force data sequence of any one detection point, the water flow turbulence degree of any one detection point at any moment is obtained, as follows:

[0054]

[0055] In the formula, is the water flow impact force data at the t-th moment in the water flow impact force data sequence of the n-th multi-axis force sensor in any one detection point, is the total number of multi-axis force sensors in the detection point, is the water flow turbulence degree of the detection point at the t-th moment.

[0056] It should be noted that the greater the water flow impact force data of the multi-axis force sensor, the greater the water flow turbulence degree of the detection point.

[0057] Thus, the water flow turbulence degree at any detection point at any moment is obtained.

[0058] Step S003: According to the difference in water flow turbulence degree between adjacent detection points at any moment and the pollutant concentration data sequence, obtain the impact degree of the water flow on the detection area at any moment.

[0059] It should be noted that the impact degree of water flow with different turbulence degrees on the detection area is obtained from the change amount of the water flow turbulence degree at different detection points and the change amount of the pollutant concentration in the target detection area. The impact degree can reflect the influence of the water flow turbulence degree on the pollutant sampler, which will further affect the pollutant concentration. The pollutant concentration when affected by a stable water flow is calculated using the similarity degree between the change of the water flow impact degree in the target detection area and the change of the pollutant concentration in the target detection area over a period of time.

[0060] Specifically, according to the difference in water flow turbulence degree between adjacent detection points at any moment and the pollutant concentration data sequence, the impact degree of the water flow on the detection area at any moment is obtained as follows:

[0061]

[0062] In the formula, is the water flow turbulence degree of the first detection point at the t-th moment, is the water flow turbulence degree of the second detection point at the t-th moment, is the water flow turbulence degree of the (xn - 1)-th detection point at the t-th moment, is the water flow turbulence degree of the xn-th detection point at the t-th moment, where xn is the total number of detection points, is the pollutant concentration data at the t-th moment in the pollutant concentration data sequence, The acquisition method of is as follows: Calculate the variance of the pollutant concentration data at every consecutive th moment in the pollutant concentration data sequence. th is a preset first value. In this embodiment, th = 5 is used for illustration. It should be noted that the value of th is an odd number. Obtain the middle moment among all consecutive th-moment pollutant concentration data, and record the pollutant concentration data at the middle moment that is closest to the t-th moment and has the smallest variance of consecutive th-moment pollutant concentration data as , is the impact degree of the water flow on the detection area at the t-th moment, is to take the absolute value.

[0063] It should be noted that It reflects the pollutant concentration data when affected by a stable water flow. The greater the difference between the difference in the turbulence degree of the last detection interval and the difference in the turbulence degree of the first detection interval at time t, the greater the impact degree 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 influence of the water flow velocity on the pollutant sampler.

[0064] Thus, the impact degree of the water flow on the detection area at any moment is obtained.

[0065] Step S004: Obtain the first pollutant concentration data sequence and the first impact degree sequence, and based on the first pollutant concentration data sequence and the first impact degree sequence, obtain the similarity degree between the first pollutant concentration data sequence and the first impact degree sequence.

[0066] It should be noted that by calculating the similarity degree between the change in the impact degree of the water flow in the detection area and the change in the pollutant concentration in the detection area over a period of time (from the time when it was last affected by a stable water flow to the current monitoring time), through the calculation of the similarity degree, the correlation relationship between the change in the impact degree of the water flow and the change in the pollutant concentration is obtained, which is used to correct the accurate pollutant concentration data.

[0067] Specifically, the corresponding moment is recorded as the first reference moment, and the corresponding moment is recorded as the current moment. Obtain the pollutant concentration data sequence from the first reference moment to the current moment, which is recorded as the first pollutant concentration data sequence. Obtain the sequence of the impact degree of the water flow on the detection area, and obtain the impact degree sequence from the first reference moment to the current moment, which is recorded as the first impact degree sequence. Obtain the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence.

[0068] Furthermore, based on the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence, obtain the correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence, specifically as follows:

[0069] Record the Pearson correlation coefficient of the first pollutant concentration data sequence and the first impact degree sequence as r, and use the opposite number of r as the similarity degree between the first pollutant concentration data sequence and the first impact degree sequence.

[0070] It should be noted that since there is a negative correlation between the impact degree of the water flow and the pollutant concentration, the value of the Pearson correlation coefficient between the two will be between [-1, 0]. Therefore, use the opposite number of r as the similarity degree between the first pollutant concentration data sequence and the first impact degree sequence.

[0071] Thus, the similarity degree is obtained.

[0072] Step S005: Based on the similarity degree among the first pollutant concentration data sequence, the first pollutant concentration data sequence, and the first impact degree sequence, obtain the pollutant concentration data when the target detection water area is affected by stable water flow at any moment.

[0073] It should be noted that since the impact of water flow may affect the sensitivity of the sensor of the pollutant sampler, high-speed water flow will reduce the measurement performance of the sensor of the pollutant sampler, and further reduce the detection of pollutant concentration in water to a certain extent relative to the actual concentration, resulting in the inability to detect some areas where the pollutant content exceeds the standard normally. Therefore, it is necessary to correct the pollutant concentration data obtained by sampling according to the water flow velocity.

[0074] Specifically, based on the similarity degree among the first pollutant concentration data sequence, the first pollutant concentration data sequence, and the first impact degree sequence, obtain the pollutant concentration data when the target detection water area is affected by stable water flow at any moment, as follows:

[0075]

[0076] In the formula, is the pollutant concentration data at the t-th 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 degree between the first pollutant concentration data sequence and the first impact degree sequence, is the pollutant concentration data when the target detection water area is affected by stable water flow at the t-th moment.

[0077] It should be noted that the change in the pollutant concentration detected within a period of time may be due to the influence of the water flow velocity. At this time, the higher the similarity of the change relationship between the pollutant concentration data detected within 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 of reduction of the corresponding detection data. Therefore, the correction amount is greater.

[0078] The greater the similarity degree P, the closer the relationship between the reduction of the pollutant concentration sampling value and the water flow impact degree. It indicates that the increase in the water flow impact degree will cause a greater deviation of the sampled pollutant concentration compared to the actual value, and more pollutant concentration needs to be corrected. The pollutant concentration in the pollutant detection area, that is, when the target detection water area is affected by stable water flow, will also have more changes compared to the direct sampling value.

[0079] By correcting the pollutant concentration data detected by the sensor, under the influence of the water flow velocity on the detected concentration data, according to the similarity of the changes in the pollutant concentration data and the water flow velocity data, the influence degree of the water flow velocity on the change of the pollutant concentration is reflected, so as to quantify the amount by which the detected data is underestimated due to the water flow velocity, that is, to obtain an accurate correction amount for the detected data, and finally to obtain more accurate pollutant concentration data.

[0080] Thus, the pollutant concentration data of the target detection water area at any moment under the influence of a stable water flow is obtained.

[0081] Step S006: Obtain the polluted water area according to the pollutant concentration data of the target detection water area at any moment under the influence of a stable water flow.

[0082] It should be noted that the above-obtained pollutant concentration data of the target detection water area at any moment under the influence of a stable water flow is used to evaluate the target detection water area by comparing it with a preset standard value.

[0083] Specifically, the preset standard value is denoted as , and in this embodiment, it is described with . If , it means that after excluding the influence of the change in the water flow turbulence degree, the pollutant concentration in the target detection water area exceeds the preset standard value, indicating that the pollutant concentration in the target detection water area exceeds the standard. The target detection water area with the pollutant concentration exceeding the standard is denoted as the polluted water area, and subsequent water environment treatment and optimization can be carried out on the water area with the pollutant concentration exceeding the standard to reduce the pollutant concentration.

[0084] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included within 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 according to the pollutant concentration data of the target detection water area when it is affected by the stable water flow at any time; 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 pollutant concentration data at 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.

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 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.

7. A method for monitoring the ecological environment of fishery waters according to claim 1, 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.

8. A method for monitoring 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.

9. 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.

Images