Marine ecological environment monitoring method based on in-situ monitoring data

Abstract

The invention relates to the field of marine ecological environment monitoring, and discloses a marine ecological environment monitoring method based on in-situ monitoring data, and the method comprises the following steps: S1, dividing a target monitoring region into a plurality of unit monitoring regions; s2, arranging an in-situ monitoring unit on the mounting platform; s3, acquiring position information data of the in-situ monitoring unit and the mounting platform; s4, collecting volume data information of the in-situ monitoring unit regularly; s5, analyzing the position information data and the volume data information to judge whether the in-situ monitoring unit is abnormal or not, and if yes, performing maintenance; s6, acquiring real-time ecological environment data in the unit monitoring area; (S7); acquiring historical ecological environment data; and S8, analyzing the real-time ecological environment data and the historical ecological environment data to understand the marine ecological environment change in the target area, and improving the accuracy of the data source.

Description

Technical Field

[0001] The present invention relates to the field of marine ecological environment monitoring, and in particular to a marine ecological environment monitoring method based on in-situ monitoring data. Background Art

[0002] The ocean covers about 71% of the Earth's surface and is the largest ecosystem on Earth. Due to the pollution of water resources by modern industry, the marine ecological environment in different regions has also suffered varying degrees of damage. In order to restore and protect the marine ecology, it is necessary to monitor the marine ecological environment.

[0003] Marine ecological environment monitoring generally uses in-situ monitoring, which involves setting up various sensors in seawater to obtain data on seawater quality, marine life, and seabed topography. By analyzing the data obtained, we can understand changes in the marine ecological environment in the area.

[0004] However, since these sensors are installed in seawater, they are often impacted by water currents and collisions with seabed organisms. The sensors may move away from their designated installation locations. As the sensors are placed in the water for longer periods of time, sediments will form on the sensor surfaces. Excessive sediments will affect the performance of the sensors, causing large deviations in the data obtained, which will affect the analysis results of changes in the marine ecological environment. Summary of the invention

[0005] The purpose of the present invention is to provide a marine ecological environment monitoring method based on in-situ monitoring data to solve the following technical problems:

[0006] How to improve the accuracy of analysis results of changes in marine ecological environment.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A method for monitoring marine ecological environment based on in-situ monitoring data comprises the following steps:

[0009] S1: Divide the target monitoring area into several unit monitoring areas through the division module;

[0010] S2: by setting up an installation platform in each unit monitoring area, and setting up an in-situ monitoring unit on the installation platform;

[0011] S3: respectively setting a position acquisition unit on the installation platform and the in-situ monitoring unit, and obtaining position information data of the in-situ monitoring unit and the installation platform through the position acquisition unit;

[0012] S4: by setting a volume acquisition unit on the installation platform, the volume data information of the in-situ monitoring unit is regularly collected by the volume acquisition unit;

[0013] S5: By analyzing the position information data of the in-situ monitoring unit and the installation platform, and the volume data information of the in-situ monitoring unit, it is determined whether the in-situ monitoring unit is abnormal. If it is abnormal, an early warning message is sent to notify the staff to perform maintenance. After the maintenance is completed, step S6 is entered; if there is no abnormality, step S6 is entered;

[0014] S6: Obtain real-time ecological environment data within the unit monitoring area through the in-situ monitoring unit;

[0015] S7; obtaining historical ecological environment data through the data storage unit;

[0016] S8: Understand the changes in the marine ecological environment in the target area by analyzing the real-time and historical ecological environment data of all unit monitoring areas.

[0017] As a further solution of the present invention: the process of determining whether the in-situ monitoring unit is abnormal includes the following steps:

[0018] S10: Obtaining a first judgment index by analyzing the location information data of the installation platform within the unit monitoring area;

[0019] S20: Obtaining a second judgment index by analyzing the position information data of each sensor, the in-situ monitoring unit and the installation platform within the unit monitoring area;

[0020] S30: By analyzing the first judgment index and the second judgment index, it is determined whether the in-situ monitoring unit is abnormal.

[0021] As a further solution of the present invention: in step S10, the first judgment index is obtained by the formula:

[0022]

[0023] Wherein, g(X) is the first judgment function, when X>0, g(X)=0; when X≤0, g(X)=1; (X0, Y0, Z0) is the preset coordinates of the installation platform corresponding to the i-th unit monitoring area; (X Bi , Y Bi , Z Bi ) is the real-time coordinate of the installation platform corresponding to the i-th unit monitoring area; W0 is the allowable offset distance of the installation platform; θ LX Adjust the factor for the type of platform on which it is installed.

[0024] As a further solution of the present invention: in step S20, the process of obtaining the second judgment index includes the following steps:

[0025] S100: The in-situ monitoring unit includes N sensors; each sensor is numbered n;

[0026] S200: After each sensor is mounted on a corresponding mounting platform by providing a positioning device on each sensor, a preset three-dimensional coordinate of each sensor is obtained; and an original volume of each sensor is obtained through a volume acquisition unit on the mounting platform;

[0027] S300: obtaining real-time three-dimensional coordinates through positioning devices on each sensor;

[0028] S400: obtaining the actual volume of each sensor through a volume acquisition unit installed on the platform;

[0029] S500: Calculating a real-time deviation value between an actual distance between an nth sensor in an i-th in-situ monitoring unit and a corresponding installation platform and a preset distance between an nth sensor in an i-th in-situ monitoring unit and a corresponding installation platform through the real-time three-dimensional coordinates and the preset three-dimensional coordinates of the sensor;

[0030] S600: Obtaining a sensor judgment index of the nth sensor in the i-th in-situ monitoring unit by analyzing the real-time deviation value of the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, and the actual volume and original volume of the nth sensor in the i-th in-situ monitoring unit;

[0031] S700: Obtain a second judgment index of the i-th in-situ monitoring unit by analyzing the sensor judgment indexes of all sensors in the i-th in-situ monitoring unit.

[0032] As a further solution of the present invention: in step S500, by formula:

[0033]

[0034] Calculate the real-time deviation value D between the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform nis ;

[0035] Among them, (X Ani , Y Ani , Z Ani ) is the real-time sensor three-dimensional coordinate of the nth sensor in the i-th in-situ monitoring unit; D nio is the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding mounting platform.

[0036] As a further solution of the present invention: in step S600, by formula:

[0037]

[0038] Calculate the sensor judgment index P of the nth sensor in the i-th in-situ monitoring unit ni ;

[0039] Where W1 is the first allowable offset value of the sensor; W2 is the second allowable offset value of the sensor; ti1 is the time when the last maintenance of the i-th in-situ monitoring unit was completed; t2 is the current time; D nimax V is the maximum real-time offset of the nth sensor in the i-th in-situ monitoring unit from the time when the i-th in-situ monitoring unit was last overhauled to the current time; nis is the actual volume of the nth sensor in the i-th in-situ monitoring unit; V ni0 is the original volume of the nth sensor in the i-th in-situ monitoring unit; D nis (t) is a curve of the real-time deviation between the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform over time; n The preset adjustment coefficient for the nth sensor.

[0040] As a further solution of the present invention: in step S700, by formula:

[0041]

[0042] Calculate the second judgment index P2 of the i-th in-situ monitoring unit;

[0043] Wherein, N is the total number of sensors in the i-th in-situ monitoring unit.

[0044] As a further solution of the present invention: the judgment index Z is calculated by the formula Z=P1*P2;

[0045] When Z=0, the i-th in-situ monitoring unit is abnormal; otherwise, the i-th in-situ monitoring unit is normal.

[0046] Beneficial effects of the present invention:

[0047] The present invention divides a target monitoring area into a plurality of unit monitoring areas through a division module, and sets an installation platform in each unit monitoring area, and sets an in-situ monitoring unit on the installation platform; respectively sets position acquisition units on the installation platform and the in-situ monitoring unit, and obtains position information data of the in-situ monitoring unit and the installation platform through the position acquisition unit; sets a volume acquisition unit on the installation platform, and regularly collects volume data information of the in-situ monitoring unit through the volume acquisition unit; by analyzing the position information data of the in-situ monitoring unit and the installation platform and the volume data information of the in-situ monitoring unit, it is determined whether the in-situ monitoring unit is abnormal, and if abnormal, sends an early warning message to notify the staff to perform maintenance, and no abnormality is found after the maintenance is completed; then obtains real-time ecological environment data in the unit monitoring area through the in-situ monitoring unit; then obtains historical ecological environment data through the data storage unit; finally, by analyzing the real-time ecological environment data and historical ecological environment data of all unit monitoring areas, understands the changes in the marine ecological environment in the target area; and promptly issues an early warning when an abnormality occurs in the sensor, so as to avoid data errors caused by the abnormality of the sensor, which ultimately affects the analysis results of the changes in the marine ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] Figure 1 The present invention is a method flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 As shown, in one embodiment, a method for monitoring marine ecological environment based on in-situ monitoring data is provided, comprising the following steps:

[0052] S1: Divide the target monitoring area into several unit monitoring areas through the division module;

[0053] S2: by setting up an installation platform in each unit monitoring area, and setting up an in-situ monitoring unit on the installation platform;

[0054] S3: respectively setting a position acquisition unit on the installation platform and the in-situ monitoring unit, and obtaining position information data of the in-situ monitoring unit and the installation platform through the position acquisition unit;

[0055] S4: by setting a volume acquisition unit on the installation platform, the volume data information of the in-situ monitoring unit is regularly collected by the volume acquisition unit;

[0056] S5: By analyzing the position information data of the in-situ monitoring unit and the installation platform, and the volume data information of the in-situ monitoring unit, it is determined whether the in-situ monitoring unit is abnormal. If it is abnormal, an early warning message is sent to notify the staff to perform maintenance. After the maintenance is completed, step S6 is entered; if there is no abnormality, step S6 is entered;

[0057] S6: Obtain real-time ecological environment data within the unit monitoring area through the in-situ monitoring unit;

[0058] S7; obtaining historical ecological environment data through the data storage unit;

[0059] S8: Understand the changes in the marine ecological environment in the target area by analyzing the real-time and historical ecological environment data of all unit monitoring areas;

[0060] Through the above technical scheme, this embodiment divides the target monitoring area into several unit monitoring areas through a division module, and sets an installation platform in each unit monitoring area, and sets an in-situ monitoring unit on the installation platform; respectively sets a position acquisition unit on the installation platform and the in-situ monitoring unit, and obtains the position information data of the in-situ monitoring unit and the installation platform through the position acquisition unit; sets a volume acquisition unit on the installation platform, and regularly collects the volume data information of the in-situ monitoring unit through the volume acquisition unit; by analyzing the position information data of the in-situ monitoring unit and the installation platform and the volume data information of the in-situ monitoring unit, it is determined whether the in-situ monitoring unit is abnormal. If it is abnormal, an early warning message is sent to notify the staff to perform maintenance, and there is no abnormality after the maintenance is completed; then the real-time ecological environment data in the unit monitoring area is obtained through the in-situ monitoring unit; then the historical ecological environment data is obtained through the data storage unit; finally, the real-time ecological environment data and historical ecological environment data of all unit monitoring areas are analyzed to understand the changes in the marine ecological environment in the target area; timely warning is issued when the sensor is abnormal to avoid data errors caused by sensor abnormalities, which ultimately affect the analysis results of the changes in the marine ecological environment.

[0061] It should be noted that the process of understanding the changes in the marine ecological environment in the target area by analyzing the real-time and historical ecological environment data of all unit monitoring areas is an existing technology and will not be described in detail here.

[0062] As an embodiment of the present invention, the process of determining whether the in-situ monitoring unit is abnormal includes the following steps:

[0063] S10: Obtaining a first judgment index by analyzing the location information data of the installation platform within the unit monitoring area;

[0064] S20: Obtaining a second judgment index by analyzing the position information data of each sensor, the in-situ monitoring unit and the installation platform within the unit monitoring area;

[0065] S30: determining whether the in-situ monitoring unit is abnormal by analyzing the first judgment index and the second judgment index;

[0066] Through the above technical scheme, this embodiment obtains a first judgment index by analyzing the position information data of the installation platform within the unit monitoring area; then obtains a second judgment index by analyzing the position information data of each sensor, the in-situ monitoring unit and the installation platform within the unit monitoring area; finally, by analyzing the first judgment index and the second judgment index, it is determined whether the in-situ monitoring unit is abnormal; and an early warning is issued in time when an abnormality occurs in the sensor to avoid data errors caused by sensor abnormalities, which ultimately affect the analysis results of changes in the marine ecological environment.

[0067] As an implementation manner of the present invention, in step S10, the first judgment index is obtained by the formula:

[0068]

[0069] Wherein, g(X) is the first judgment function, when X>0, g(X)=0; when X≤0, g(X)=1; (X0, Y0, Z0) is the preset coordinates of the installation platform corresponding to the i-th unit monitoring area; (X Bi , Y Bi , Z Bi ) is the real-time coordinate of the installation platform corresponding to the i-th unit monitoring area; W0 is the allowable offset distance of the installation platform; θ LX Adjust the factor for the type of mounting platform;

[0070] Through the above technical solution, this embodiment is the real-time distance between the preset coordinates of the installation platform corresponding to the i-th unit monitoring area and the real-time coordinates of the installation platform corresponding to the i-th unit monitoring area; θ LX W0 is the allowable offset distance for this type of installation platform; is the difference between the real-time distance between the preset coordinates of the installation platform corresponding to the i-th unit monitoring area and the real-time coordinates of the installation platform corresponding to the i-th unit monitoring area and the allowable offset distance of this installation platform type; X in the first judgment function g(X) refers to the formula In when , it means that the real-time distance between the preset coordinates of the installation platform corresponding to the i-th unit monitoring area and the real-time coordinates of the installation platform corresponding to the i-th unit monitoring area is within the allowable offset distance of this installation platform type; therefore, there is no abnormality in the installation platform. P1=1; when , it means that the real-time distance between the preset coordinates of the installation platform corresponding to the i-th unit monitoring area and the real-time coordinates of the installation platform corresponding to the i-th unit monitoring area exceeds the allowable offset distance of this installation platform type; therefore, the installation platform is abnormal, P1=0;

[0071] As an implementation manner of the present invention, in step S20, the process of obtaining the second judgment index includes the following steps:

[0072] S100: The in-situ monitoring unit includes N sensors; each sensor is numbered n;

[0073] S200: After each sensor is mounted on a corresponding mounting platform by providing a positioning device on each sensor, a preset three-dimensional coordinate of each sensor is obtained; and an original volume of each sensor is obtained through a volume acquisition unit on the mounting platform;

[0074] S300: obtaining real-time three-dimensional coordinates through positioning devices on each sensor;

[0075] S400: obtaining the actual volume of each sensor through a volume acquisition unit installed on the platform;

[0076] S500: Calculating a real-time deviation value between an actual distance between an nth sensor in an i-th in-situ monitoring unit and a corresponding installation platform and a preset distance between an nth sensor in an i-th in-situ monitoring unit and a corresponding installation platform through the real-time three-dimensional coordinates and the preset three-dimensional coordinates of the sensor;

[0077] S600: Obtaining a sensor judgment index of the nth sensor in the i-th in-situ monitoring unit by analyzing the real-time deviation value of the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, and the actual volume and original volume of the nth sensor in the i-th in-situ monitoring unit;

[0078] S700: Obtaining a second judgment index of the i-th in-situ monitoring unit by analyzing the sensor judgment indexes of all sensors in the i-th in-situ monitoring unit;

[0079] Through the above technical solution, this embodiment first sets a positioning device on each sensor, installs each sensor on the corresponding installation platform, and then obtains the preset three-dimensional coordinates of each sensor; obtains the original volume of each sensor through the volume acquisition unit on the installation platform; then obtains the real-time three-dimensional coordinates through the positioning device on each sensor; then obtains the actual volume of each sensor through the volume acquisition unit on the installation platform; then calculates the real-time deviation value of the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset three-dimensional coordinates of the sensor; then By analyzing the real-time deviation value of the actual distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform, the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform, and the actual volume and original volume of the nth sensor in the ith in-situ monitoring unit, the sensor judgment index of the nth sensor in the ith in-situ monitoring unit is obtained; finally, by analyzing the sensor judgment indexes of all sensors in the ith in-situ monitoring unit, the second judgment index of the ith in-situ monitoring unit is obtained; and an early warning is issued in time when an abnormality occurs in the sensor to avoid data errors caused by sensor abnormalities, which ultimately affect the analysis results of changes in the marine ecological environment.

[0080] As an implementation of the present invention, in step S500, by formula:

[0081]

[0082] Calculate the real-time deviation value D between the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform nis ;

[0083] Among them, (X Ani , Y Ani , Z Ani ) is the real-time sensor three-dimensional coordinate of the nth sensor in the i-th in-situ monitoring unit; D nio is the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding mounting platform;

[0084] Through the above technical solution, this embodiment is the actual distance between the real-time sensor three-dimensional coordinates of the nth sensor in the i-th in-situ monitoring unit and the real-time coordinates of the mounting platform corresponding to the i-th unit monitoring area; is the absolute value of the difference between the actual distance between the real-time sensor three-dimensional coordinates of the nth sensor in the i-th in-situ monitoring unit and the real-time coordinates of the installation platform corresponding to the i-th unit monitoring area and the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, indicating that the nth sensor in the i-th in-situ monitoring unit may be detached from the installation platform and an abnormality occurs;

[0085] It should be noted that the preset distance D between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform is nio It is a preset value obtained based on experience and will not be described in detail here.

[0086] As an implementation of the present invention, in step S600, by formula:

[0087]

[0088] Calculate the sensor judgment index P of the nth sensor in the i-th in-situ monitoring unit ni ;

[0089] Where W1 is the first allowable offset value of the sensor; W2 is the second allowable offset value of the sensor; ti1 is the time when the last maintenance of the i-th in-situ monitoring unit was completed; t2 is the current time; D nimax V is the maximum real-time offset of the nth sensor in the i-th in-situ monitoring unit from the time when the i-th in-situ monitoring unit was last overhauled to the current time; nis is the actual volume of the nth sensor in the i-th in-situ monitoring unit; V ni0 is the original volume of the nth sensor in the i-th in-situ monitoring unit; D nis (t) is a curve of the real-time deviation between the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform over time; n is the preset adjustment coefficient of the nth sensor;

[0090] Through the above technical solution, in this embodiment, the time from the last maintenance completion in the i-th in-situ monitoring unit to the current time is the preset time period; The real-time accumulated deviation between the actual distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform within the preset time period; is the average deviation value between the actual distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform within the preset time period; is the difference between the average deviation value of the actual distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform within the preset time period and the first sensor offset allowable value; X in the first judgment function g(X) refers to the formula In when , it indicates that the average deviation between the actual distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform within the preset time period is within the sensor first offset allowable value, indicating that the deviation of the nth sensor in the ith in-situ monitoring unit is small, and it may be that the bolts between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform are loose, resulting in very small shaking; there is no abnormality, so when When , it means that the average deviation value of the actual distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform within the preset time period exceeds the first allowable value of the sensor offset, indicating that the deviation of the nth sensor in the ith in-situ monitoring unit is large. It may be that the bolts installing the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform are loose, resulting in large shaking; the nth sensor in the ith in-situ monitoring unit may be at risk of detaching from the corresponding installation platform, so it needs to be repaired. D nimax -W2 is the difference between the maximum real-time offset of the nth sensor in the i-th in-situ monitoring unit from the last maintenance of the i-th in-situ monitoring unit to the current time and the second allowable offset of the sensor; when D nimax When -W2≤0, it means that the maximum real-time offset of the nth sensor in the ith in-situ monitoring unit from the last maintenance of the ith in-situ monitoring unit to the current time is within the second offset allowable value of the sensor, indicating that the deviation of the nth sensor in the ith in-situ monitoring unit is small. It may be that the bolts between the nth sensor in the ith in-situ monitoring unit and the corresponding mounting platform are loose, resulting in very small shaking; there is no abnormality, so g(D nimax -W2)=1; when D nimaxWhen -W2>0, it means that the maximum real-time offset of the nth sensor in the ith in-situ monitoring unit from the last maintenance of the ith in-situ monitoring unit to the current time exceeds the second allowable offset value of the sensor, indicating that the deviation of the nth sensor in the ith in-situ monitoring unit is large. It may be that the bolts between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform are loose, resulting in large shaking, or the sensor has been separated from the corresponding installation platform. There is a risk that the nth sensor in the ith in-situ monitoring unit may be separated from the corresponding installation platform, so it needs to be repaired. g(D nimax -W2)=0;δ n V ni0 V is the preset volume of the nth sensor; nis -δ n V ni0 is the difference between the actual volume and the preset volume of the nth sensor in the ith in-situ monitoring unit; when V nis -δ n V ni0 When ≤0, it means that the actual volume of the nth sensor in the ith in-situ monitoring unit is less than or equal to the preset volume, which means that the deposits on the nth sensor in the ith in-situ monitoring unit are small and have little impact on the sensor, so no maintenance is required. Therefore, g(V nis -δ n V ni0 )=1; when V nis -δ n V ni0 When >0, it means that the actual volume of the nth sensor in the ith in-situ monitoring unit is smaller than the preset volume, which means that there are more deposits on the nth sensor in the ith in-situ monitoring unit, which has a greater impact on the sensor and affects the accuracy of the sensor. Therefore, it is necessary to overhaul and clean the ith in-situ monitoring unit. g(V nis -δ n V ni0 )=0;

[0091] It should be noted that the preset adjustment coefficient δ of the nth sensor is n According to the type setting of the sensor, the first allowable offset value W1 of the sensor and the second allowable offset value W2 of the sensor are both preset values, which are obtained based on experience and will not be described in detail here.

[0092] As an implementation of the present invention, in step S700, by formula:

[0093]

[0094] Calculate the second judgment index P2 of the i-th in-situ monitoring unit;

[0095] Where N is the total number of sensors in the i-th in-situ monitoring unit;

[0096] Through the above technical solution, this embodiment uses the formula Calculate the second judgment index P2 of the i-th in-situ monitoring unit; if any sensor is abnormal, the second judgment index P2 = 0;

[0097] As an implementation mode of the present invention, in step S30, the judgment index Z is calculated by the formula Z=P1*P2;

[0098] When Z = 0, the i-th in-situ monitoring unit is abnormal;

[0099] When Z = 1, the i-th in-situ monitoring unit has no abnormality;

[0100] Through the above technical solution, in this embodiment, when the first judgment index P1=1 and the second judgment index P2=1, that is, when the installation platform and all sensors are normal, the i-th in-situ monitoring unit is normal; otherwise, maintenance is required.

[0101] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A marine ecological environment monitoring method based on in-situ monitoring data, characterized in that: The following steps are involved: S1: Divide the target monitoring area into several unit monitoring areas through the division module; S2: by setting up an installation platform in each unit monitoring area, and setting up an in-situ monitoring unit on the installation platform; S3: respectively setting a position acquisition unit on the installation platform and the in-situ monitoring unit, and obtaining position information data of the in-situ monitoring unit and the installation platform through the position acquisition unit; S4: by setting a volume acquisition unit on the installation platform, the volume data information of the in-situ monitoring unit is regularly collected by the volume acquisition unit; S5: By analyzing the position information data of the in-situ monitoring unit and the installation platform, and the volume data information of the in-situ monitoring unit, it is determined whether the in-situ monitoring unit is abnormal. If it is abnormal, an early warning message is sent to notify the staff to perform maintenance. After the maintenance is completed, step S6 is entered; if there is no abnormality, step S6 is entered; S6: Obtain real-time ecological environment data within the unit monitoring area through the in-situ monitoring unit; S7; obtaining historical ecological environment data through the data storage unit; S8: Understand the changes in the marine ecological environment in the target area by analyzing the real-time and historical ecological environment data of all unit monitoring areas.

2. A method for monitoring marine ecological environment based on in-situ monitoring data according to claim 1, characterized in that: The process of determining whether the in-situ monitoring unit is abnormal includes the following steps: S10: Obtaining a first judgment index by analyzing the location information data of the installation platform within the unit monitoring area; S20: Obtaining a second judgment index by analyzing the position information data of each sensor, the in-situ monitoring unit and the installation platform within the unit monitoring area; S30: By analyzing the first judgment index and the second judgment index, it is determined whether the in-situ monitoring unit is abnormal.

3. A marine ecological environment monitoring method based on in-situ monitoring data according to claim 2, characterized in that: In step S10, the first judgment index is obtained by the formula: Wherein, g(X) is the first judgment function, when X>0, g(X)=0; when X≤0, g(X)=1; (X0, Y0, Z0) is the preset coordinates of the installation platform corresponding to the i-th unit monitoring area; (X Bi , Y Bi , Z Bi ) is the real-time coordinate of the installation platform corresponding to the i-th unit monitoring area; W0 is the allowable offset distance of the installation platform; θ LX Adjust the factor for the type of platform on which it is installed.

4. A marine ecological environment monitoring method based on in-situ monitoring data according to claim 3, characterized in that: In step S20, the process of obtaining the second judgment index includes the following steps: S100: The in-situ monitoring unit includes N sensors; each sensor is numbered n; S200: After each sensor is mounted on a corresponding mounting platform by providing a positioning device on each sensor, a preset three-dimensional coordinate of each sensor is obtained; and an original volume of each sensor is obtained through a volume acquisition unit on the mounting platform; S300: obtaining real-time three-dimensional coordinates through positioning devices on each sensor; S400: obtaining the actual volume of each sensor through a volume acquisition unit installed on the platform; S500: Calculate a real-time deviation value between an actual distance between an nth sensor in an i-th in-situ monitoring unit and a corresponding installation platform and a preset distance between an mth sensor in an i-th in-situ monitoring unit and a corresponding installation platform through the real-time three-dimensional coordinates and the preset three-dimensional coordinates of the sensor; S600: Obtaining a sensor judgment index of the nth sensor in the i-th in-situ monitoring unit by analyzing the real-time deviation value of the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform, and the actual volume and original volume of the nth sensor in the i-th in-situ monitoring unit; S700: Obtain a second judgment index of the i-th in-situ monitoring unit by analyzing the sensor judgment indexes of all sensors in the i-th in-situ monitoring unit.

5. A method for monitoring marine ecological environment based on in-situ monitoring data according to claim 4, characterized in that: In step S500, by formula: Calculate the real-time deviation value Dnis between the actual distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset distance between the nth sensor in the i-th in-situ monitoring unit and the corresponding installation platform; Among them, (XAni, YAni, ZAni) is the real-time sensor three-dimensional coordinate of the nth sensor in the ith in-situ monitoring unit; Dnio is the preset distance between the nth sensor in the ith in-situ monitoring unit and the corresponding installation platform.

6. A method for monitoring marine ecological environment based on in-situ monitoring data according to claim 5, characterized in that: In step S600, by formula: Calculate the sensor judgment index Pni of the nth sensor in the i-th in-situ monitoring unit; Wherein, W1 is the first allowable offset value of the sensor; W2 is the second allowable offset value of the sensor; ti1 is the time when the last maintenance of the i-th in-situ monitoring unit was completed; t2 is the current time; Dnimax is the real-time maximum offset value of the n-th sensor in the i-th in-situ monitoring unit from the time when the last maintenance of the i-th in-situ monitoring unit was completed to the current time; Vnis is the actual volume of the n-th sensor in the i-th in-situ monitoring unit; Vni0 is the original volume of the n-th sensor in the i-th in-situ monitoring unit; Dnis(t) is the real-time deviation value change curve of the actual distance between the n-th sensor in the i-th in-situ monitoring unit and the corresponding installation platform and the preset distance between the n-th sensor in the i-th in-situ monitoring unit and the corresponding installation platform over time; δn is the preset adjustment coefficient of the n-th sensor.

7. A method for monitoring marine ecological environment based on in-situ monitoring data according to claim 6, characterized in that: In step S700, by formula: Calculate the second judgment index P2 of the i-th in-situ monitoring unit; Wherein, N is the total number of sensors in the i-th in-situ monitoring unit.

8. The marine ecological environment monitoring method based on in-situ monitoring data according to claim 7 is characterized in that: The judgment index Z is calculated by the formula Z=P1*P2; When Z=0, the i-th in-situ monitoring unit is abnormal; otherwise, the i-th in-situ monitoring unit is normal.

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