CN113654598B - Lake ecological environment monitoring system and method - Google Patents
Lake ecological environment monitoring system and method Download PDFInfo
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- CN113654598B CN113654598B CN202111126196.5A CN202111126196A CN113654598B CN 113654598 B CN113654598 B CN 113654598B CN 202111126196 A CN202111126196 A CN 202111126196A CN 113654598 B CN113654598 B CN 113654598B
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Abstract
The invention discloses a lake ecological environment monitoring system and method. The system comprises a remote control unmanned ship and a remote control terminal, wherein the remote control unmanned ship comprises a ship body, a controller, a power module, a GPS module, a wireless communication module, a data acquisition module and a power assembly for driving the ship body to move are arranged on the ship body, the controller is respectively electrically connected with the power module, the GPS module, the wireless communication module, the data acquisition module and the power assembly, the wireless communication module can be in wireless communication with the remote control terminal, and the data acquisition module comprises a negative oxygen ion sensor S1, a light particulate matter sensor S2, a water temperature sensor S3, a heavy particulate matter sensor S4, a PH sensor S5, a dissolved oxygen sensor S6, a water body conductivity sensor S7, an ammonia nitrogen sensor S8, a sound sensor S9 and an ultraviolet radiation sensor S10. The invention can monitor the lake ecological environment data on line in real time and judge the current state of the lake ecological environment health.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a lake ecological environment monitoring system and method.
Background
Along with the development of society and the attention of people to life health, the increasing shortage and deterioration of water resources are added, the lake environment problem is paid attention to, the existing evaluation on the lake ecological system health is usually only carried out on the lake ecological condition according to certain measured key indexes, the key indexes are detected and analyzed by manual measurement, the efficiency is low, the cost is high, and the whole condition in a detected area is difficult to effectively monitor in real time according to a theoretical optimal model.
Disclosure of Invention
The invention aims to solve the technical problems, and provides a lake ecological environment monitoring system and method, which can monitor lake ecological environment data on line in real time and judge the current state of health of the lake ecological environment.
In order to solve the problems, the invention is realized by adopting the following technical scheme:
the invention discloses a lake ecological environment monitoring system, which comprises a remote unmanned ship and a remote control terminal, wherein the remote unmanned ship comprises a ship body, a controller, a power module, a GPS module, a wireless communication module, a data acquisition module and a power component for driving the ship body to move are arranged on the ship body, the controller is respectively and electrically connected with the power module, the GPS module, the wireless communication module, the data acquisition module and the power component, the wireless communication module can be in wireless communication with the remote control terminal, and the data acquisition module comprises a negative oxygen ion sensor S1 for detecting the concentration of negative oxygen ions in the air of a lake, a light particle sensor S2 for detecting the concentration of light particles in the lake, a water temperature sensor S3 for detecting the water temperature of the lake, a heavy particle sensor S4 for detecting the concentration of heavy particles in the lake, a PH sensor S5 for detecting the PH value of the lake, an oxygen dissolving sensor S6 for detecting the oxygen dissolving quantity of the lake water body, a water body sensor S7 for detecting the ammonia nitrogen content in the lake, a sound sensor S8 for detecting the ammonia nitrogen content in the lake, and a sound sensor S9 for detecting the noise in the lake, and a ultraviolet radiation sensor S10.
In the scheme, a worker controls the remote control unmanned ship to move to a monitoring point through the remote control terminal, a data acquisition module on the remote control unmanned ship acquires data and sends the data to the controller, the controller carries out comprehensive analysis processing on all the data, the current ecological environment health state of the lake is judged, the judgment result is sent to the remote control terminal, and the worker can check the judgment result through the remote control terminal. And the remote control terminal can also send an instruction to the remote control unmanned ship to instruct the remote control unmanned ship to move to a plurality of different monitoring points for monitoring under the assistance of the GPS module.
The invention relates to a lake ecological environment monitoring method, which is used for the lake ecological environment monitoring system and comprises the following steps of
S1: negative oxygen ion sensor S1 outputs detection data D s1 (t) to the controller, the light particulate matter sensor S2 outputs detection data D s2 (t) to the controller, the water temperature sensor S3 outputs detection data D s3 (t) to the controller, the heavy particulate matter sensor S4 outputs detection data D s4 (t) to the controller, the PH sensor S5 outputs the detection data D s5 (t) to the controller, the dissolved oxygen sensor S6 outputs detection data D s6 (t) to the controller, the water conductivity sensor S7 outputs detection data D s7 (t) to the controller, the ammonia nitrogen sensor S8 outputs detection data D s8 (t) to the controller, the sound sensor S9 outputs the detection data D s9 (t) to the controller, the ultraviolet radiation sensor S10 outputs detection data D s10 (t) to the controller, t is time
S2: the controller will detect data D s1 (t)、D s2 (t)、D s3 (t)、D s4 (t)、D s5 (t)、D s6 (t)、D s7 (t)、D s8 (t)、D s9 (t)、D s10 (t) respectively normalizing to [1, 10 ]]Obtaining corresponding normalized data L in the interval s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t)；
S3: the controller is based on the normalized data L s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t) calculating a corresponding feature value EN s1 、EN s2 、EN s3 、EN s4 、EN s5 、EN s6 、EN s7 、EN s8 、EN s9 、EN s10 Calculating a ecological environment evaluation parameter SENK;
s4: the controller calculates average values SENKA and EN of the ecological environment evaluation parameters SENK once every N seconds s5 Average value ENA of (2) s5 、EN s8 Average value ENA of (2) s8 ；
When SENCA is greater than or equal to W1 and ENA s5 、ENA s8 When the current ecological environment is within the set range, judging that the current ecological environment is superior;
when W2 is less than SENKA and less than W1 and ENA s5 、ENA s8 When the current ecological environment is within the set range, judging that the current ecological environment is medium;
when SENCA is less than or equal to W2 or ENA s5 、ENA s8 When any one of the above is out of the set range, the current ecological environment is judged to be bad, and the like.
In the scheme, ten data of the lake ecological environment are monitored by the negative oxygen ion sensor S1, the light particulate matter sensor S2, the water temperature sensor S3, the heavy particulate matter sensor S4, the PH sensor S5, the dissolved oxygen sensor S6, the water body conductivity sensor S7, the ammonia nitrogen sensor S8, the sound sensor S9 and the ultraviolet radiation sensor S10 and are transmitted to the controller, and the controller processes and analyzes the data to calculate the parameter SENCA for comprehensively evaluating the ecological environment health state, and comprehensively judges the lake ecological environment health state by combining the PH value and the ammonia nitrogen content which have great influence on the lake environment.
Preferably, the step S3 includes the steps of:
s31: will normalize data L s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t) substituting the input signals X (t) into the lake ecological discrimination model to calculate corresponding characteristic values EN s1 、EN s2 、EN s3 、EN s4 、EN s5 、EN s6 、EN s7 、EN s8 、EN s9 、EN s10 ；
Normalized data L si (t) substituting the input signal X (t) into the lake ecological discrimination model to calculate the corresponding characteristic value EN si The method of (1) is as follows, i=1-10:
will L si (t) substituting the input signal X (t) into the lake ecological discrimination model
Wherein P (y) is a load system, B (t) is an excitation signal, y is a dynamic parameter of a lake ecological discrimination model, c, a, B, g is a parameter, t is time, cos (2pi ft) is a frequency component of an input signal, f is frequency, and M is the signal intensity of the excitation signal B (t);
regulating the value of g from small to large, approaching transition conditions of the formula (1) and the formula (2), stopping regulating g when any one of the formula (1) and the formula (2) reaches a transition state, and recording the current value of g as g si Obtaining the characteristic curve FEDP of the lake ecological discrimination model si ：
Taking characteristic curve FEDP si Maximum value F1 and minimum value F2 of (a), characteristic value EN si ＝F1-F2；
S32: EN is added s1 As a response characteristic signal value of the negative oxygen ion sensor S1, the following will beEN is set as a response characteristic signal value of the light particulate matter sensor S2 s3 As the water temperature sensor S3In response to the characteristic signal value, will->EN is set as a response characteristic signal value of the heavy particulate matter sensor S4 s5 As a response characteristic signal value of the PH sensor S5, EN is set s6 EN is set as a response characteristic signal value of the dissolved oxygen sensor S6 s7 As the response characteristic signal value of the water body conductivity sensor S7, EN is taken s8 As a response characteristic signal value of the ammonia nitrogen sensor S8, EN is set s9 As a response characteristic signal value of the sound sensor S9, EN is set s10 As a response characteristic signal value of the ultraviolet radiation sensor S10;
drawing a multiaxial vector diagram with 10 sensor response axes on a plane by taking the response characteristic signals of each sensor as the response axes of the sensor, wherein the origins of all the sensor response axes are the same point, the included angle between the sensor Sn response axes and the sensor S (n+1) response axes is 36 degrees, and n=1, 2 … …;
according to response characteristic signal values EN corresponding to the negative oxygen ion sensor S1, the light particulate matter sensor S2, the heavy particulate matter sensor S4, the dissolved oxygen sensor S6 and the water body conductivity sensor S7 s1 、EN s6 、EN s7 Corresponding response points are marked on corresponding sensor response shafts, response characteristic signal values corresponding to other sensors are set to be 0.25, corresponding response points are marked on corresponding sensor response shafts, the response points marked on the response shafts of adjacent sensors are connected through straight lines to form a closed space A1, and the sum SA1 of the areas of the enclosed closed spaces is calculated;
according to the response characteristic signal value EN corresponding to the water temperature sensor S3, the sound sensor S9 and the ultraviolet radiation sensor S10 s3 、EN s9 、EN s10 Corresponding response points are marked on corresponding sensor response shafts, response characteristic signal values corresponding to other sensors are set to be 0.25, and corresponding responses are marked on corresponding sensor response shaftsThe points are formed by connecting response points marked on response shafts of adjacent sensors through straight lines to form a closed space A2, and the sum SA2 of the areas of the enclosed closed spaces is calculated;
the ecological environment evaluation parameter senk=sa 1-SA2 is calculated.
Preferably, the ENA s5 Is set to be ENA s5 < 1.1, the ENA s8 The setting range of (2) is not less than 1.2 ENA s8 ＜3.2。
The beneficial effects of the invention are as follows: the lake ecological environment data can be monitored on line in real time, the current lake ecological environment health state can be judged, and the monitoring efficiency is improved.
Drawings
FIG. 1 is a schematic structural view of an embodiment;
FIG. 2 is a schematic circuit connection block diagram of a remotely controlled unmanned ship;
FIG. 3 is a schematic illustration of a characteristic curve;
FIG. 4 is a schematic diagram of the response characteristic signal values of the sensor in a multiaxial vector diagram enclosing an enclosed space A1;
fig. 5 is a schematic diagram of the response characteristic signal value of the sensor in the multiaxial vector diagram to form an enclosed space A2.
In the figure: 1. the remote control unmanned ship comprises a remote control unmanned ship body, a remote control terminal, a controller, a power module, a GPS module, a wireless communication module, a data acquisition module and a power assembly.
Detailed Description
The technical scheme of the invention is further specifically described below through examples and with reference to the accompanying drawings.
Examples: the lake ecological environment monitoring system of the embodiment, as shown in fig. 1 and 2, comprises a remote control unmanned ship 1 and a remote control terminal 2, wherein the remote control unmanned ship 1 comprises a ship body, a controller 3, a power module 4, a GPS module 5, a wireless communication module 6, a data acquisition module 7 and a power component 8 for driving the ship body to move are arranged on the ship body, the controller 3 is respectively electrically connected with the power module 4, the GPS module 5, the wireless communication module 6, the data acquisition module 7 and the power component 8, the wireless communication module 6 can be in wireless communication with the remote control terminal 2, and the data acquisition module 7 comprises a negative oxygen ion sensor S1 for detecting the concentration of negative oxygen ions in the lake air, a light particle sensor S2 for detecting the concentration of light particles in the lake, a water temperature sensor S3 for detecting the water temperature of the lake, a heavy particle sensor S4 for detecting the concentration of the lake, a sensor S5 for detecting the PH value of the lake dissolved oxygen, a sensor S6 for detecting the water conductivity of the lake, a sensor S7 for detecting the content of ammonia nitrogen in the lake water, a sensor S8 for detecting the water conductivity of the lake water body, and a sensor S9 for detecting the ultraviolet radiation.
In the scheme, a worker controls the remote control unmanned ship to move to a monitoring point through the remote control terminal, a data acquisition module on the remote control unmanned ship acquires data and sends the data to the controller, the controller carries out comprehensive analysis processing on all the data, the current ecological environment health state of the lake is judged, the judgment result is sent to the remote control terminal, and the worker can check the judgment result through the remote control terminal. And the remote control terminal can also send an instruction to the remote control unmanned ship to instruct the remote control unmanned ship to move to a plurality of different monitoring points for monitoring under the assistance of the GPS module.
The lake ecological environment monitoring method of the embodiment is used for the lake ecological environment monitoring system, and comprises the following steps of
S1: negative oxygen ion sensor S1 outputs detection data D s1 (t) to the controller, the light particulate matter sensor S2 outputs detection data D s2 (t) to the controller, the water temperature sensor S3 outputs detection data D s3 (t) to the controller, the heavy particulate matter sensor S4 outputs detection data D s4 (t) to the controller, the PH sensor S5 outputs the detection data D s5 (t) to the controller, the dissolved oxygen sensor S6 outputs detection data D s6 (t) to the controller, the water conductivity sensor S7 outputs detection data D s7 (t) to the controller, the ammonia nitrogen sensor S8 outputs detection data D s8 (t) to the controller, the sound sensor S9 outputs the detection data D s9 (t) to the controller, the ultraviolet radiation sensor S10 outputs detection data D s10 (t) to the controller, t is timeInterval (C)
S2: the controller will detect data D s1 (t)、D s2 (t)、D s3 (t)、D s4 (t)、D s5 (t)、D s6 (t)、D s7 (t)、D s8 (t)、D s9 (t)、D s10 (t) respectively normalizing to [1, 10 ]]Obtaining corresponding normalized data L in the interval s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t)；
S3: the controller is based on the normalized data L s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t) calculating a corresponding feature value EN s1 、EN s2 、EN s3 、EN s4 、EN s5 、EN s6 、EN s7 、EN s8 、EN s9 、EN s10 Calculating a ecological environment evaluation parameter SENK;
step S3 comprises the steps of:
s31: will normalize data L s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t) substituting the input signals X (t) into the lake ecological discrimination model to calculate corresponding characteristic values EN s1 、EN s2 、EN s3 、EN s4 、EN s5 、EN s6 、EN s7 、EN s8 、EN s9 、EN s10 ；
Normalized data L si (t) substituting the input signal X (t) into the lake ecological discrimination model to calculate the corresponding characteristic value EN si The method of (1) is as follows, i=1-10:
will L si (t) substituting the input signal X (t) into the lake ecological discrimination model
Wherein P (y) is a load system, B (t) is an excitation signal, y is a dynamic parameter of a lake ecological discrimination model, c, a, B, g is a parameter, t is time, cos (2pi ft) is a frequency component of an input signal, f is frequency, and M is the signal intensity of the excitation signal B (t);
regulating the value of g from small to large, approaching transition conditions of the formula (1) and the formula (2), stopping regulating g when any one of the formula (1) and the formula (2) reaches a transition state, and recording the current value of g as g si Obtaining the characteristic curve FEDP of the lake ecological discrimination model si ：
Characteristic curve FEDP si As shown in FIG. 3, a characteristic curve FEDP is taken si Maximum value F1 and minimum value F2 of (a), characteristic value EN si ＝F1-F2；
S32: EN is added s1 As a response characteristic signal value of the negative oxygen ion sensor S1, the following will beEN is set as a response characteristic signal value of the light particulate matter sensor S2 s3 As a response characteristic signal value of the water temperature sensor S3, will +.>EN is set as a response characteristic signal value of the heavy particulate matter sensor S4 s5 As a response characteristic signal value of the PH sensor S5, EN is set s6 EN is set as a response characteristic signal value of the dissolved oxygen sensor S6 s7 As the response characteristic signal value of the water body conductivity sensor S7, EN is taken s8 As ammoniaResponse characteristic signal value of nitrogen sensor S8, EN s9 As a response characteristic signal value of the sound sensor S9, EN is set s10 As a response characteristic signal value of the ultraviolet radiation sensor S10;
drawing a multiaxial vector diagram with 10 sensor response axes on a plane by taking the response characteristic signals of each sensor as the response axes of the sensor, wherein the origins of all the sensor response axes are the same point, the included angle between the sensor Sn response axes and the sensor S (n+1) response axes is 36 degrees, and n=1, 2 … …;
according to response characteristic signal values EN corresponding to the negative oxygen ion sensor S1, the light particulate matter sensor S2, the heavy particulate matter sensor S4, the dissolved oxygen sensor S6 and the water body conductivity sensor S7 s1 、EN s6 、EN s7 Corresponding response points are marked on corresponding sensor response shafts, response characteristic signal values corresponding to other sensors are set to be 0.25, corresponding response points are marked on corresponding sensor response shafts, the response points marked on the response shafts of adjacent sensors are connected through straight lines to form a closed space A1, and as shown in FIG. 4, the sum SA1 of the areas of the enclosed closed spaces is calculated;
according to the response characteristic signal value EN corresponding to the water temperature sensor S3, the sound sensor S9 and the ultraviolet radiation sensor S10 s3 、EN s9 、EN s10 Corresponding response points are marked on corresponding sensor response shafts, response characteristic signal values corresponding to other sensors are set to be 0.25, corresponding response points are marked on corresponding sensor response shafts, the response points marked on the response shafts of adjacent sensors are connected through straight lines to form a closed space A2, and the sum SA2 of the areas of the enclosed closed spaces is calculated as shown in FIG. 5;
calculating an ecological environment evaluation parameter senk=sa 1-SA2;
s4: the controller calculates average values SENKA and EN of the ecological environment evaluation parameters SENK once every N seconds s5 Average value ENA of (2) s5 、EN s8 Average value ENA of (2) s8 ；
When SENCA is more than or equal to 0.8 and ENA s5 Less than 1.1 and less than or equal to 1.2 ENA s8 When the environmental protection value is less than 3.2, judging the current ecological environment to be superior;
when SENCA is more than 0.2 and less than 0.8 and ENA is more than 0.2 s5 Less than 1.1 and less than or equal to 1.2 ENA s8 When the current ecological environment is less than 3.2, judging that the current ecological environment is medium;
when SENCA is less than or equal to 0.2 or ENA s5 Not less than 1.1 or ENA s8 < 1.2 or ENA s8 And when the current ecological environment is not less than 3.2, judging that the current ecological environment is poor, and the like.
In the scheme, ten data of the lake ecological environment are monitored by the negative oxygen ion sensor S1, the light particulate matter sensor S2, the water temperature sensor S3, the heavy particulate matter sensor S4, the PH sensor S5, the dissolved oxygen sensor S6, the water body conductivity sensor S7, the ammonia nitrogen sensor S8, the sound sensor S9 and the ultraviolet radiation sensor S10 and are transmitted to the controller, and the controller processes and analyzes the data to calculate the parameter SENCA for comprehensively evaluating the ecological environment health state, and comprehensively judges the lake ecological environment health state by combining the PH value and the ammonia nitrogen content which have great influence on the lake environment.
The negative oxygen ion sensor S1 detects lake air negative oxygen ion information, the dissolved oxygen sensor S6 detects lake dissolved oxygen amount information, the water body conductivity sensor S7 detects lake water body conductivity information, and the larger the detection signals of the sensors are, the better the ecological environment of the lake is represented; the light particulate matter sensor S2 detects the concentration information of the lake light particulate matters, the heavy particulate matter sensor S4 detects the concentration information of the lake heavy particulate matters, and the detection indexes of the light particulate matters are closely related to ecology but are in inverse relation; the water temperature sensor S3 detects lake water temperature information, the sound sensor S9 detects lake noise information, the ultraviolet radiation sensor S10 detects lake ultraviolet radiation amount information, and the ecological indexes play a destructive role on the ecological environment of the lake, so that the lower the detection value is, the better the ecological environment of the lake is. The PH sensor S5 and the ammonia nitrogen sensor S8 of the ammonia nitrogen content do not determine whether the ecological environment is good or bad in the maximum value or minimum value interval, but influence the ecological environment evaluation in a certain interval, so that independent judgment is made.
Claims (2)
1. A lake ecological environment monitoring method is used for a lake ecological environment monitoring system, the lake ecological environment monitoring system comprises a remote control unmanned ship (1) and a remote control terminal (2), the remote control unmanned ship (1) comprises a ship body, a controller (3), a power module (4), a GPS module (5), a wireless communication module (6), a data acquisition module (7) and a power component (8) for driving the ship body to move are arranged on the ship body, the controller (3) is respectively and electrically connected with the power module (4), the GPS module (5), the wireless communication module (6), the data acquisition module (7) and the power component (8), the wireless communication module (6) can be in wireless communication with the remote control terminal (2), the data acquisition module (7) comprises a negative oxygen ion sensor S1 for detecting the concentration of negative oxygen ions in lake air, a light particulate matter sensor S2 for detecting the concentration of light particulate matters in the lake, a water temperature sensor S3 for detecting the water temperature of the lake, a heavy particulate matter sensor S4 for detecting the concentration of heavy particulate matters in the lake, a PH sensor S5 for detecting the PH value of the lake, an oxygen dissolving sensor S6 for detecting the dissolved oxygen amount of the lake, a water body conductivity sensor S7 for detecting the conductivity of the water body of the lake, an ammonia nitrogen sensor S8 for detecting the ammonia nitrogen content of the lake, a sound sensor S9 for detecting the noise of the lake and an ultraviolet radiation sensor S10 for detecting the ultraviolet radiation amount of the lake, the method comprises the following steps:
s1: negative oxygen ion sensor S1 outputs detection data D s1 (t) to the controller, the light particulate matter sensor S2 outputs detection data D s2 (t) to the controller, the water temperature sensor S3 outputs detection data D s3 (t) to the controller, the heavy particulate matter sensor S4 outputs detection data D s4 (t) to the controller, the PH sensor S5 outputs the detection data D s5 (t) to the controller, the dissolved oxygen sensor S6 outputs detection data D s6 (t) to the controller, the water conductivity sensor S7 outputs detection data D s7 (t) to the controller, the ammonia nitrogen sensor S8 outputs detection data D s8 (t) to the controller, the sound sensor S9 outputs the detection data D s9 (t) to the controller, the ultraviolet radiation sensor S10 outputs detection data D s10 (t) to a controllerT is time;
s2: the controller will detect data D s1 (t)、D s2 (t)、D s3 (t)、D s4 (t)、D s5 (t)、D s6 (t)、D s7 (t)、D s8 (t)、D s9 (t)、D s10 (t) respectively normalizing to [1, 10 ]]Obtaining corresponding normalized data L in the interval s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t)；
S3: the controller is based on the normalized data L s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t) calculating a corresponding feature value EN s1 、EN s2 、EN s3 、EN s4 、EN s5 、EN s6 、EN s7 、EN s8 、EN s9 、EN s10 Calculating a ecological environment evaluation parameter SENK;
s4: the controller calculates average values SENKA and EN of the ecological environment evaluation parameters SENK once every N seconds s5 Average value ENA of (2) s5 、EN s8 Average value ENA of (2) s8 ；
When SENCA is greater than or equal to W1 and ENA s5 、ENA s8 When the current ecological environment is within the set range, judging that the current ecological environment is superior;
when W2 is less than SENKA and less than W1 and ENA s5 、ENA s8 When the current ecological environment is within the set range, judging that the current ecological environment is medium;
when SENCA is less than or equal to W2 or ENA s5 、ENA s8 When any one of the ecological environments exceeds the set range, judging that the current ecological environment is poor, and the like;
the step S3 includes the steps of:
s31: will normalize data L s1 (t)、L s2 (t)、L s3 (t)、L s4 (t)、L s5 (t)、L s6 (t)、L s7 (t)、L s8 (t)、L s9 (t)、L s10 (t) substituting the input signals X (t) into the lake ecological discrimination model to calculate corresponding characteristic values EN s1 、EN s2 、EN s3 、EN s4 、EN s5 、EN s6 、EN s7 、EN s8 、EN s9 、EN s10 ；
Normalized data L si (t) substituting the input signal X (t) into the lake ecological discrimination model to calculate the corresponding characteristic value EN si The method of (1) is as follows, i=1-10:
will L si (t) substituting the input signal X (t) into the lake ecological discrimination model
Wherein P (y) is a load system, B (t) is an excitation signal, y is a dynamic parameter of a lake ecological discrimination model, c, a, B, g is a parameter, t is time, cos (2pi ft) is a frequency component of an input signal, f is frequency, and M is the signal intensity of the excitation signal B (t);
regulating the value of g from small to large, approaching transition conditions of the formula (1) and the formula (2), stopping regulating g when any one of the formula (1) and the formula (2) reaches a transition state, and recording the current value of g as g si Obtaining the characteristic curve FEDP of the lake ecological discrimination model si ：
Taking characteristic curve FEDP si Maximum value F1 and minimum value F2 of (a), characteristic value EN si ＝F1-F2；
S32: EN is added s1 As a response characteristic signal value of the negative oxygen ion sensor S1, the following will beEN is set as a response characteristic signal value of the light particulate matter sensor S2 s3 As a response characteristic signal value of the water temperature sensor S3, will +.>EN is set as a response characteristic signal value of the heavy particulate matter sensor S4 s5 As a response characteristic signal value of the PH sensor S5, EN is set s6 EN is set as a response characteristic signal value of the dissolved oxygen sensor S6 s7 As the response characteristic signal value of the water body conductivity sensor S7, EN is taken s8 As a response characteristic signal value of the ammonia nitrogen sensor S8, EN is set s9 As a response characteristic signal value of the sound sensor S9, EN is set s10 As a response characteristic signal value of the ultraviolet radiation sensor S10;
drawing a multiaxial vector diagram with 10 sensor response axes on a plane by taking the response characteristic signals of each sensor as the response axes of the sensor, wherein the origins of all the sensor response axes are the same point, the included angle between the sensor Sn response axes and the sensor S (n+1) response axes is 36 degrees, and n=1, 2 … …;
according to response characteristic signal values EN corresponding to the negative oxygen ion sensor S1, the light particulate matter sensor S2, the heavy particulate matter sensor S4, the dissolved oxygen sensor S6 and the water body conductivity sensor S7 s1 、EN s6 、EN s7 Corresponding response points are marked on corresponding sensor response shafts, response characteristic signal values corresponding to other sensors are set to be 0.25, corresponding response points are marked on corresponding sensor response shafts, the response points marked on the response shafts of adjacent sensors are connected through straight lines to form a closed space A1, and the sum SA1 of the areas of the enclosed closed spaces is calculated;
according to the pairs of the water temperature sensor S3, the sound sensor S9 and the ultraviolet radiation sensor S10Response characteristic signal value EN s3 、EN s9 、EN s10 Corresponding response points are marked on corresponding sensor response shafts, response characteristic signal values corresponding to other sensors are set to be 0.25, corresponding response points are marked on corresponding sensor response shafts, the response points marked on adjacent sensor response shafts are connected through a straight line to form a closed space, and the sum SA2 of the areas of the enclosed closed spaces A2 is calculated;
the ecological environment evaluation parameter senk=sa 1-SA2 is calculated.
2. The method of claim 1, wherein the ENA is s5 Is set to be ENA s5 < 1.1, the ENA s8 The setting range of (2) is not less than 1.2 ENA s8 ＜3.2。
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