Marine hydrology multi-parameter section observation system and method based on unmanned ship

Abstract

The invention discloses a marine hydrological multi-parameter section observation system and method based on an unmanned ship, relates to the field of section observation, and solves the problem of poor observation effect of the existing marine section observation system. The section temperature index observation coefficient acquisition module is used for performing water depth salinity analysis on the sample ocean observation section, acquiring the section temperature index observation coefficient corresponding to the sample ocean observation section according to the analysis result, and acquiring the section temperature index observation coefficient corresponding to the sample ocean observation section according to the analysis result; and the observation feedback module is used for performing section water body stability evaluation on the sample ocean observation section according to the section salinity index observation coefficient and the section temperature index observation coefficient. The accuracy and comprehensiveness of an ocean section observation result are improved.

Description

Technical Field

[0001] The present invention belongs to the field of cross-section observation and relates to unmanned ship technology, and specifically to an ocean hydrological multi-parameter cross-section observation system and method based on an unmanned ship. Background Art

[0002] The existing ocean hydrological multi-parameter cross-section observation system has the following specific defects when conducting cross-section observation:

[0003] 1. The existing ocean hydrological multi-parameter cross-section observation system is unable to analyze the cross-section temperature coverage depth of the sample ocean observation section, and is unable to obtain the cross-section temperature index observation coefficient corresponding to the sample ocean observation section based on the analysis results. As a result, it is difficult for the observation system to observe the degree of stratification and mixing state of the water body, resulting in a lack of comprehensiveness in the observation results;

[0004] 2. The existing ocean hydrological multi-parameter cross-section observation system is unable to use the cross-section temperature index observation coefficient and the cross-section salinity index observation coefficient to evaluate the stability of the cross-section water body, resulting in a lack of accuracy in the cross-section water body stability assessment results.

[0005] To this end, we propose an ocean hydrological multi-parameter cross-section observation system and method based on unmanned vessels. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide an ocean hydrological multi-parameter cross-section observation system and method based on an unmanned vessel, which aims to improve the comprehensiveness and accuracy of ocean cross-section observation results.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an unmanned vessel-based ocean hydrological multi-parameter cross-section observation system, comprising:

[0008] Section temperature module: conducts water depth temperature analysis on the sample ocean observation section, and obtains the section temperature index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0009] Section salinity module: conducts water depth salinity analysis on the sample ocean observation section, and obtains the section salinity index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0010] Observation feedback module: Evaluate the water stability of the sample ocean observation section based on the section salinity index observation coefficient and the section temperature index observation coefficient.

[0011] Furthermore, the cross-section temperature index observation coefficient is obtained as follows:

[0012] Mark a target monitoring sea area in the sea area where the unmanned vessel is currently sailing, set several sea section lines perpendicular to the coastline on the sea surface of the target monitoring water area, draw perpendicular planes between each sea section line and the horizontal plane to obtain multiple ocean observation sections, and select a sample ocean observation section from the multiple ocean observation sections obtained;

[0013] Obtain the sea area section line corresponding to the sample ocean observation section, and select several temperature marking points in the sea area section line;

[0014] In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each temperature mark point to obtain multiple section temperature monitoring lines, and a sample temperature monitoring line is selected from the multiple section temperature monitoring lines obtained;

[0015] Perform temperature monitoring on the sample temperature monitoring line, and obtain the temperature distribution overlap of the cross section corresponding to the sample temperature monitoring line according to the monitoring results;

[0016] The cross-sectional temperature distribution overlap corresponding to each cross-sectional temperature monitoring line is obtained respectively, and the numerical values ​​of the obtained multiple cross-sectional temperature distribution overlaps are compared, and the cross-sectional temperature distribution overlap with the largest value is marked as the cross-sectional temperature index observation coefficient.

[0017] Furthermore, the overlap of the cross-section temperature distribution is obtained as follows:

[0018] Among the multiple cross-sectional temperature monitoring lines, the cross-sectional temperature monitoring lines other than the sample temperature monitoring line are named as the X1 cross-sectional temperature line to the Xc cross-sectional temperature line;

[0019] Perform temperature index interval analysis on the longitudinal sea area covered by the sample temperature monitoring line, and obtain the temperature coverage depth interval T1 to Ta corresponding to the sample temperature monitoring line;

[0020] Perform temperature interval overlap analysis on the sample temperature monitoring line and the X1 section temperature line, and obtain the X1 section temperature overlap based on the analysis results;

[0021] Obtain the temperature overlap between the sample temperature monitoring line and the temperature line from the X2 section to the Xc section, and obtain the temperature overlap from the X2 section to the Xc section.

[0022] Calculate the average value of the temperature coincidence of sections X1 to Xc to obtain the temperature coincidence of the section corresponding to the sample temperature monitoring line;

[0023] The cross-sectional temperature distribution overlap corresponding to each cross-sectional temperature monitoring line is obtained respectively, and the numerical values ​​of the obtained multiple cross-sectional temperature distribution overlaps are compared, and the cross-sectional temperature distribution overlap with the largest value is marked as the cross-sectional temperature index observation coefficient.

[0024] Furthermore, the temperature coverage depth interval from T1 to Ta is obtained, specifically as follows:

[0025] The temperature value is acquired in each cross-sectional area covered by the sample temperature monitoring line to obtain multiple straight line area temperature values, and the obtained multiple straight line area temperature values ​​are compared in value, and the value range formed by the maximum straight line area temperature value and the minimum straight line area temperature value is named the straight line area temperature range;

[0026] A characteristic temperature layer value is set for the linear area temperature range. In the linear area temperature range, the sum of the minimum linear area temperature value and the characteristic temperature layer value is calculated to obtain the first temperature layer preset value. The sum of the first temperature layer preset value and the characteristic temperature layer value is calculated to obtain the second temperature layer preset value. Similarly, the sum of the b-1 temperature seal layer preset value and the characteristic temperature layer value is calculated to obtain the a temperature seal layer preset value.

[0027] In the cross-sectional area covered by the sample temperature monitoring line, the cross-sectional area where the regional temperature value is between the minimum linear area temperature value and the first temperature layer preset value is marked as the T1 linear temperature area, the cross-sectional area where the regional temperature value is between the first temperature layer preset value and the second temperature layer preset value is marked as the T2 linear temperature area, and so on, the cross-sectional area where the regional temperature value is between the ath temperature layer preset value and the maximum linear area temperature value is marked as the Ta linear temperature area;

[0028] In the sample temperature monitoring line, the sea area depth range corresponding to the T1 linear temperature area is obtained to obtain the T1 temperature coverage depth interval; the sea area depth range corresponding to the T2 linear temperature area is obtained to obtain the T2 temperature coverage depth interval; and so on, the sea area depth range corresponding to the Ta linear temperature area is obtained to obtain the Ta temperature coverage depth interval.

[0029] Furthermore, the temperature coincidence of the X1 section is obtained as follows:

[0030] Monitor the temperature line of the X1 section, obtain the temperature coverage depth interval T1 to the temperature coverage depth interval Ta corresponding to the temperature line of the X1 section, and rename it to the temperature coverage depth interval XT1 to the temperature coverage depth interval XTa;

[0031] The overlapping range of the T1 temperature coverage depth interval and the XT1 temperature coverage depth interval is obtained to obtain the X1 temperature range overlap value. The overlapping range of the T2 temperature coverage depth interval and the XT2 temperature coverage depth interval is obtained to obtain the X2 temperature range overlap value. Similarly, the overlapping range of the Ta temperature coverage depth interval and the XTa temperature coverage depth interval is obtained to obtain the Xa temperature range overlap value.

[0032] Obtain the range value of the T1 temperature coverage depth interval to the Ta temperature coverage depth interval to obtain the T1 temperature coverage depth range value to the Ta temperature coverage depth range value;

[0033] The temperature overlap of the X1 section is obtained by calculating the T1 temperature coverage depth range value to the Ta temperature coverage depth range value and the X1 temperature range overlap value to the Xa temperature range overlap value;

[0034] Calculate the temperature coincidence of section X1.

[0035] Furthermore, the observation coefficient of the cross-section salinity index is obtained as follows:

[0036] Obtain the sea area section line corresponding to the sample ocean observation section, and select several salinity mark points in the sea area section line;

[0037] In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each salinity mark point to obtain multiple section salinity monitoring lines, and a sample salinity monitoring line is selected from the multiple section salinity monitoring lines obtained;

[0038] Perform salinity monitoring on the sample salinity monitoring line, and obtain the salinity distribution overlap of the section corresponding to the sample salinity monitoring line according to the monitoring results;

[0039] The salinity distribution overlap of each section corresponding to the salinity monitoring line is obtained respectively, and the numerical values ​​of the obtained multiple salinity distribution overlaps are compared, and the salinity distribution overlap with the largest value is marked as the section salinity index observation coefficient.

[0040] Furthermore, the overlap of the cross-section salinity distribution is obtained as follows:

[0041] Among the multiple cross-section salinity monitoring lines, the cross-section salinity monitoring lines other than the sample salinity monitoring line are named S1 cross-section salinity line to Sd cross-section salinity line respectively;

[0042] The salinity index interval analysis was conducted on the longitudinal sea area covered by the sample temperature monitoring line, and the salinity coverage depth interval F1 to Fe corresponding to the sample salinity monitoring line was obtained;

[0043] The salinity monitoring line of the sample and the salinity line of the S1 section are analyzed for salinity interval overlap, and the salinity overlap of the S1 section is obtained based on the analysis results;

[0044] The details are as follows:

[0045] Monitor the salinity line of section S1, obtain the salinity coverage depth interval F1 to the salinity coverage depth interval Fe corresponding to the salinity line of section S1, and rename it as the salinity coverage depth interval SF1 to the salinity coverage depth interval SFe;

[0046] The overlapping range of the F1 salinity coverage depth interval and the SF1 salinity coverage depth interval is obtained to obtain the overlapping value of the S1 salinity range. The overlapping range of the F2 salinity coverage depth interval and the SF2 salinity coverage depth interval is obtained to obtain the overlapping value of the S2 salinity range. Similarly, the overlapping range of the Fe salinity coverage depth interval and the SFe salinity coverage depth interval is obtained to obtain the overlapping value of the Se salinity range.

[0047] Obtain the range value of the F1 salinity coverage depth interval to the Fe salinity coverage depth interval to obtain the F1 salinity coverage depth range value to the Fe salinity coverage depth range value;

[0048] The salinity overlap of S1 section is obtained by calculating the overlap between the F1 salinity coverage depth range and the Fe salinity coverage depth range, and the S1 salinity overlap value and the Se salinity overlap value.

[0049] Calculate the salinity coincidence of section S1;

[0050] Obtain the salinity overlap between the sample salinity monitoring line and the salinity line from the S2 section to the Sd section, and obtain the salinity overlap from the S2 section to the Sd section;

[0051] The average value of the salinity coincidence of section S1 to section Sd is calculated to obtain the salinity distribution coincidence of the section corresponding to the sample salinity monitoring line.

[0052] Furthermore, the salinity coverage depth interval of F1 to the salinity coverage depth interval of Fe is obtained, as follows:

[0053] The salinity value is obtained in each cross-section area covered by the sample salinity monitoring line to obtain multiple linear area salinity values, and the numerical values ​​of the multiple linear area salinity values ​​obtained are compared. The numerical range formed by the maximum linear area salinity value and the minimum linear area salinity value is named the linear area salinity range;

[0054] A characteristic salinity stratification value is set for the linear area salinity range. In the linear area salinity range, the sum of the minimum linear area salinity value and the characteristic salinity stratification value is calculated to obtain the first salinity stratification preset value. The sum of the first salinity stratification preset value and the characteristic salinity stratification value is calculated to obtain the second salinity stratification preset value. Similarly, the sum of the b-1th salinity seal preset value and the characteristic salinity stratification value is calculated to obtain the eth salinity seal preset value.

[0055] In the cross-sectional area covered by the sample salinity monitoring line, the cross-sectional area where the regional salinity value is between the minimum straight-line regional salinity value and the first salinity layer preset value is marked as the F1 straight-line salinity area, the cross-sectional area where the regional salinity value is between the first salinity layer preset value and the second salinity layer preset value is marked as the F2 straight-line salinity area, and so on, the cross-sectional area where the regional salinity value is between the e-th salinity layer preset value and the maximum straight-line regional salinity value is marked as the Fe straight-line salinity area;

[0056] In the sample salinity monitoring line, the sea area depth range corresponding to the F1 straight line salinity area is obtained to obtain the F1 salinity coverage depth interval, and the sea area depth range corresponding to the F2 straight line salinity area is obtained to obtain the F2 salinity coverage depth interval. Similarly, the sea area depth range corresponding to the Fe straight line salinity area is obtained to obtain the Fe salinity coverage depth interval.

[0057] Furthermore, the water stability of the sample ocean observation section was evaluated as follows:

[0058] Obtain the cross-section salinity index observation coefficient and the cross-section temperature index observation coefficient respectively;

[0059] Obtain the stability interval of the cross-section salinity index and the stability interval of the cross-section temperature index respectively;

[0060] If the observed coefficient of the cross-section salinity index is within the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is within the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be stable;

[0061] If the observed coefficient of the cross-section salinity index is not in the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is in the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be unstable;

[0062] If the observed coefficient of the cross-section salinity index is within the stability interval of the cross-section salinity index, and the observed coefficient of the cross-section temperature index is not within the stability interval of the cross-section temperature index, then the water body of the sample ocean observation section is judged to be unstable;

[0063] If the observation coefficient of the section salinity index is not in the stability range of the section salinity index, and the observation coefficient of the section temperature index is not in the stability range of the section temperature index, it is judged that the water body of the sample ocean observation section is unstable.

[0064] A method for observing multi-parameter oceanographic sections based on an unmanned vessel, comprising:

[0065] Step S1: Performing water depth and temperature analysis on the sample ocean observation section, and obtaining the section temperature index observation coefficient corresponding to the sample ocean observation section according to the analysis results;

[0066] Step S2: Performing a water depth salinity analysis on the sample ocean observation section, and obtaining a section salinity index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0067] Step S3: Evaluate the water stability of the sample ocean observation section based on the section salinity index observation coefficient and the section temperature index observation coefficient.

[0068] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0069] 1. The present invention analyzes the cross-sectional temperature coverage depth of the sample ocean observation section and obtains the cross-sectional temperature index observation coefficient corresponding to the sample ocean observation section based on the analysis results. This enables the observation system to better present the degree of water stratification and mixing state, thereby improving the comprehensiveness of the observation results.

[0070] 2. The present invention can evaluate the stability of the cross-section water body based on the cross-section temperature index observation coefficient and the cross-section salinity index observation coefficient, which can improve the accuracy of the cross-section water body stability evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0072] Figure 1 is a block diagram of the overall system of the present invention;

[0073] Figure 2 It is a diagram of the implementation steps of the present invention. DETAILED DESCRIPTION

[0074] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0075] Example 1

[0076] See also Figure 1 The present invention provides a technical solution: an unmanned vessel-based ocean hydrological multi-parameter cross-section observation system, comprising a cross-section temperature module, a cross-section salinity module, an observation feedback module, and a server, wherein the cross-section temperature module, the cross-section salinity module, and the observation feedback module are respectively connected to the server, and the server is respectively connected to the cross-section temperature module, the cross-section salinity module, and the observation feedback module;

[0077] The fault temperature module performs water depth temperature analysis on the sample ocean observation section, and obtains the section temperature index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0078] The details are as follows:

[0079] Mark a target monitoring sea area in the sea area where the unmanned vessel is currently sailing, set several sea section lines perpendicular to the coastline on the sea surface of the target monitoring water area, draw perpendicular planes between each sea section line and the horizontal plane to obtain multiple ocean observation sections, and select a sample ocean observation section from the multiple ocean observation sections obtained;

[0080] In this application, the multiple ocean observation sections involved here are all sections perpendicular to the coastline;

[0081] In this application, the target monitoring waters involved herein include special confluence waters, and the special confluence waters involved herein include but are not limited to the confluence waters of ocean currents, river estuaries, and the confluence waters of sea tributaries;

[0082] The sample ocean observation section involved here is specifically the target section observed by the unmanned vessel.

[0083] Monitor the longitudinal temperature index of the sample ocean observation section and obtain the W1 section temperature stratification ratio based on the monitoring results;

[0084] The details are as follows:

[0085] Obtain the sea area section line corresponding to the sample ocean observation section, and select several temperature marking points in the sea area section line;

[0086] In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each temperature mark point to obtain multiple section temperature monitoring lines, and a sample temperature monitoring line is selected from the multiple section temperature monitoring lines obtained;

[0087] Perform temperature monitoring on the sample temperature monitoring line, and obtain the temperature distribution overlap of the cross section corresponding to the sample temperature monitoring line according to the monitoring results;

[0088] Among the multiple cross-sectional temperature monitoring lines, the cross-sectional temperature monitoring lines other than the sample temperature monitoring line are named as the X1 cross-sectional temperature line to the Xc cross-sectional temperature line;

[0089] It should be noted here that:

[0090] In the present application, X referred to herein is a sign corresponding to the cross-sectional temperature line, c referred to herein is a numerical value corresponding to the cross-sectional temperature line, and c is an integer greater than 0.

[0091] Perform temperature index interval analysis on the longitudinal sea area covered by the sample temperature monitoring line, and obtain the temperature coverage depth interval T1 to Ta corresponding to the sample temperature monitoring line;

[0092] The details are as follows:

[0093] The temperature value is acquired in each cross-sectional area covered by the sample temperature monitoring line to obtain multiple straight line area temperature values, and the obtained multiple straight line area temperature values ​​are compared in value, and the value range formed by the maximum straight line area temperature value and the minimum straight line area temperature value is named the straight line area temperature range;

[0094] A characteristic temperature layer value is set for the linear area temperature range. In the linear area temperature range, the sum of the minimum linear area temperature value and the characteristic temperature layer value is calculated to obtain the first temperature layer preset value. The sum of the first temperature layer preset value and the characteristic temperature layer value is calculated to obtain the second temperature layer preset value. Similarly, the sum of the b-1 temperature seal layer preset value and the characteristic temperature layer value is calculated to obtain the a temperature seal layer preset value.

[0095] It should be noted here that:

[0096] In this application, the characteristic temperature layer value involved here is specifically 5°C. The preset value of the a-th temperature layer involved here must be less than the maximum linear area temperature value, and the maximum linear area temperature value and the a-th temperature layer preset value must be less than the characteristic temperature layer value;

[0097] In the cross-sectional area covered by the sample temperature monitoring line, the cross-sectional area where the regional temperature value is between the minimum linear area temperature value and the first temperature layer preset value is marked as the T1 linear temperature area, the cross-sectional area where the regional temperature value is between the first temperature layer preset value and the second temperature layer preset value is marked as the T2 linear temperature area, and so on, the cross-sectional area where the regional temperature value is between the ath temperature layer preset value and the maximum linear area temperature value is marked as the Ta linear temperature area;

[0098] It should be noted here that:

[0099] In this application, the linear temperature region involved here includes the case where the regional temperature value is greater than the smaller value, that is, the T1 linear temperature region includes the case where the regional temperature value is equal to the minimum linear regional temperature value, but does not include the case where the regional temperature value is equal to the first temperature layer preset value;

[0100] In the sample temperature monitoring line, the sea depth range corresponding to the T1 linear temperature area is obtained to obtain the T1 temperature coverage depth interval. The sea depth range corresponding to the T2 linear temperature area is obtained to obtain the T2 temperature coverage depth interval. Similarly, the sea depth range corresponding to the Ta linear temperature area is obtained to obtain the Ta temperature coverage depth interval.

[0101] Perform temperature interval overlap analysis on the sample temperature monitoring line and the X1 section temperature line, and obtain the X1 section temperature overlap based on the analysis results;

[0102] Monitor the temperature line of the X1 section, obtain the temperature coverage depth interval T1 to the temperature coverage depth interval Ta corresponding to the temperature line of the X1 section, and rename it to the temperature coverage depth interval XT1 to the temperature coverage depth interval XTa;

[0103] It should be noted here that:

[0104] If there is any temperature coverage depth interval on the temperature line of the X1 section, the corresponding temperature coverage depth interval will be marked with 0;

[0105] The overlapping range of the T1 temperature coverage depth interval and the XT1 temperature coverage depth interval is obtained to obtain the X1 temperature range overlap value. The overlapping range of the T2 temperature coverage depth interval and the XT2 temperature coverage depth interval is obtained to obtain the X2 temperature range overlap value. Similarly, the overlapping range of the Ta temperature coverage depth interval and the XTa temperature coverage depth interval is obtained to obtain the Xa temperature range overlap value.

[0106] Obtain the range value of the T1 temperature coverage depth interval to the Ta temperature coverage depth interval to obtain the T1 temperature coverage depth range value to the Ta temperature coverage depth range value;

[0107] The temperature overlap of the X1 section is obtained by calculating the T1 temperature coverage depth range value to the Ta temperature coverage depth range value and the X1 temperature range overlap value to the Xa temperature range overlap value;

[0108] Calculate the temperature coincidence of the X1 section. The specific formula is as follows:

[0109]

[0110] Among them, Wcx1 is the temperature overlap of the X1 section, Wffi is the overlap value of the Xi temperature range, Wdfi is the Ti temperature coverage depth range value, and a is the number of linear temperature areas;

[0111] Repeat the process of obtaining the temperature coincidence of the X1 section, and obtain the temperature coincidence of the sample temperature monitoring line and the temperature coincidence of the X2 section to the Xc section, and obtain the temperature coincidence of the X2 section to the Xc section;

[0112] Calculate the average value of the temperature coincidence of sections X1 to Xc to obtain the temperature coincidence of the section corresponding to the sample temperature monitoring line;

[0113] Repeat the process of obtaining the cross-sectional temperature distribution overlap corresponding to the sample temperature monitoring line, obtain the cross-sectional temperature distribution overlap corresponding to each cross-sectional temperature monitoring line respectively, and compare the numerical values ​​of the obtained multiple cross-sectional temperature distribution overlaps, and mark the cross-sectional temperature distribution overlap with the largest value as the cross-sectional temperature index observation coefficient;

[0114] The fault salinity module performs water depth salinity analysis on the sample ocean observation section, and obtains the section salinity index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0115] The details are as follows:

[0116] Monitor the longitudinal salinity index of the sample ocean observation section and obtain the salinity stratification ratio of the Y1 section based on the monitoring results;

[0117] The details are as follows:

[0118] Obtain the sea area section line corresponding to the sample ocean observation section, and select several salinity mark points in the sea area section line;

[0119] In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each salinity mark point to obtain multiple section salinity monitoring lines, and a sample salinity monitoring line is selected from the multiple section salinity monitoring lines obtained;

[0120] Perform salinity monitoring on the sample salinity monitoring line, and obtain the salinity distribution overlap of the section corresponding to the sample salinity monitoring line according to the monitoring results;

[0121] Among the multiple cross-section salinity monitoring lines, the cross-section salinity monitoring lines other than the sample salinity monitoring line are named S1 cross-section salinity line to Sd cross-section salinity line respectively;

[0122] It should be noted here that:

[0123] In the present application, S referred to here is the sign symbol corresponding to the cross-sectional salinity line, d referred to here is the numerical value corresponding to the cross-sectional salinity line, and d is an integer greater than 0.

[0124] The salinity index interval analysis was conducted on the longitudinal sea area covered by the sample temperature monitoring line, and the salinity coverage depth interval F1 to Fe corresponding to the sample salinity monitoring line was obtained;

[0125] The details are as follows:

[0126] The salinity value is obtained in each cross-section area covered by the sample salinity monitoring line to obtain multiple linear area salinity values, and the numerical values ​​of the multiple linear area salinity values ​​obtained are compared. The numerical range formed by the maximum linear area salinity value and the minimum linear area salinity value is named the linear area salinity range;

[0127] A characteristic salinity stratification value is set for the linear area salinity range. In the linear area salinity range, the sum of the minimum linear area salinity value and the characteristic salinity stratification value is calculated to obtain the first salinity stratification preset value. The sum of the first salinity stratification preset value and the characteristic salinity stratification value is calculated to obtain the second salinity stratification preset value. Similarly, the sum of the b-1th salinity seal preset value and the characteristic salinity stratification value is calculated to obtain the eth salinity seal preset value.

[0128] It should be noted here that:

[0129] In this application, the characteristic salinity stratification value involved here is specifically 5°C. The preset value of the e-th salinity stratification involved here must be less than the maximum linear area salinity value, and the maximum linear area salinity value and the e-th salinity stratification preset value must be less than the characteristic salinity stratification value;

[0130] In the cross-sectional area covered by the sample salinity monitoring line, the cross-sectional area where the regional salinity value is between the minimum straight-line regional salinity value and the first salinity layer preset value is marked as the F1 straight-line salinity area, the cross-sectional area where the regional salinity value is between the first salinity layer preset value and the second salinity layer preset value is marked as the F2 straight-line salinity area, and so on, the cross-sectional area where the regional salinity value is between the e-th salinity layer preset value and the maximum straight-line regional salinity value is marked as the Fe straight-line salinity area;

[0131] It should be noted here that:

[0132] In this application, the linear salinity region involved herein includes the case where the regional salinity value is greater than the smaller value, that is, the F1 linear salinity region includes the case where the regional salinity value is equal to the minimum linear regional salinity value, but does not include the case where the regional salinity value is equal to the first salinity layer preset value;

[0133] In the sample salinity monitoring line, the sea depth range corresponding to the F1 straight line salinity area is obtained to obtain the F1 salinity coverage depth interval. The sea depth range corresponding to the F2 straight line salinity area is obtained to obtain the F2 salinity coverage depth interval. Similarly, the sea depth range corresponding to the Fe straight line salinity area is obtained to obtain the Fe salinity coverage depth interval.

[0134] The salinity monitoring line of the sample and the salinity line of the S1 section are analyzed for salinity interval overlap, and the salinity overlap of the S1 section is obtained based on the analysis results;

[0135] Monitor the salinity line of section S1, obtain the salinity coverage depth interval F1 to the salinity coverage depth interval Fe corresponding to the salinity line of section S1, and rename it as the salinity coverage depth interval SF1 to the salinity coverage depth interval SFe;

[0136] It should be noted here that:

[0137] If there is any salinity coverage depth interval on the salinity line of section S1, the corresponding salinity coverage depth interval will be marked with 0;

[0138] The overlapping range of the F1 salinity coverage depth interval and the SF1 salinity coverage depth interval is obtained to obtain the overlapping value of the S1 salinity range. The overlapping range of the F2 salinity coverage depth interval and the SF2 salinity coverage depth interval is obtained to obtain the overlapping value of the S2 salinity range. Similarly, the overlapping range of the Fe salinity coverage depth interval and the SFe salinity coverage depth interval is obtained to obtain the overlapping value of the Se salinity range.

[0139] Obtain the range value of the F1 salinity coverage depth interval to the Fe salinity coverage depth interval to obtain the F1 salinity coverage depth range value to the Fe salinity coverage depth range value;

[0140] The salinity overlap of S1 section is obtained by calculating the overlap between the F1 salinity coverage depth range and the Fe salinity coverage depth range, and the S1 salinity overlap value and the Se salinity overlap value.

[0141] The salinity coincidence of section S1 is calculated using the following formula:

[0142]

[0143] Among them, Ycx1 is the salinity overlap of section S1, Yffi is the salinity range overlap value of Si, Ydfi is the salinity coverage depth range value of Fi, and e is the number of linear salinity areas;

[0144] Repeat the process of obtaining the salinity coincidence of section S1, and obtain the salinity coincidence of the sample salinity monitoring line and the salinity line of section S2 to the salinity line of section Sd, and obtain the salinity coincidence of section S2 to section Sd;

[0145] The average value of the salinity coincidence of section S1 to section Sd is calculated to obtain the salinity distribution coincidence of the section corresponding to the sample salinity monitoring line;

[0146] Repeat the process of obtaining the overlap of the salinity distribution of the sections corresponding to the sample salinity monitoring line, obtain the overlap of the salinity distribution of each section corresponding to the salinity monitoring line, and compare the numerical values ​​of the obtained multiple overlaps of the salinity distribution of sections, and mark the overlap of the salinity distribution of the section with the largest value as the observation coefficient of the salinity index of the section;

[0147] The observation feedback module evaluates the water stability of the sample ocean observation section based on the section salinity index observation coefficient and the section temperature index observation coefficient;

[0148] The details are as follows:

[0149] Obtain the cross-section salinity index observation coefficient and the cross-section temperature index observation coefficient respectively;

[0150] Obtain the stability interval of the cross-section salinity index and the stability interval of the cross-section temperature index respectively;

[0151] It should be noted here that:

[0152] In this application, several historical moments known to be stable water bodies are selected in the target monitoring sea area;

[0153] Obtain the cross-section salinity index observation coefficient corresponding to each historical moment respectively, and compare the values ​​of the obtained multiple cross-section salinity index observation coefficients. Mark the cross-section salinity index observation coefficient with the smallest value as the lower limit of the salinity index stability interval, and mark the cross-section salinity index observation coefficient with the largest value as the upper limit of the salinity index stability interval to obtain the cross-section salinity index stability interval.

[0154] Obtain the section temperature index observation coefficient corresponding to each historical moment respectively, and compare the values ​​of the obtained multiple section temperature index observation coefficients. Mark the section temperature index observation coefficient with the smallest value as the lower limit of the temperature index stability interval, and mark the section temperature index observation coefficient with the largest value as the upper limit of the temperature index stability interval to obtain the section temperature index stability interval;

[0155] If the observed coefficient of the cross-section salinity index is within the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is within the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be stable;

[0156] If the observed coefficient of the cross-section salinity index is not in the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is in the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be unstable;

[0157] If the observed coefficient of the cross-section salinity index is within the stability interval of the cross-section salinity index, and the observed coefficient of the cross-section temperature index is not within the stability interval of the cross-section temperature index, then the water body of the sample ocean observation section is judged to be unstable;

[0158] If the observed coefficient of the cross-section salinity index is not within the stability interval of the cross-section salinity index, and the observed coefficient of the cross-section temperature index is not within the stability interval of the cross-section temperature index, then the water body of the sample ocean observation section is judged to be unstable;

[0159] It should be noted here that:

[0160] In this application, the water stability of the sample ocean observation section involved here includes the situation where the section salinity index observation coefficient is at the boundary of the section salinity index stability range, and the section temperature index observation coefficient is at the boundary of the section temperature index stability range.

[0161] The instability of the water body in the sample ocean observation section involved here specifically refers to the existence of physical movement of water body in the sea area corresponding to the sample ocean observation section. The physical movement of water body involved here includes but is not limited to seabed rapids and ocean eddies.

[0162] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and its numerical calculation is performed. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the result value, it is acceptable.

[0163] Example 2

[0164] See also Figure 2 Based on another concept of the same invention, a method for observing multi-parameter ocean hydrological sections based on an unmanned vessel is proposed, which includes the following steps:

[0165] Step S1: Performing cross-sectional temperature coverage depth analysis on the sample ocean observation section, and obtaining the cross-sectional temperature index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0166] The step S1 further includes the following specific steps:

[0167] Step S11: Mark a target monitoring sea area in the sea area where the unmanned vessel is currently sailing, set a number of sea section lines perpendicular to the coastline on the sea surface of the target monitoring water area, draw a perpendicular plane between each sea section line and the horizontal plane to obtain multiple ocean observation sections, and select a sample ocean observation section from the multiple ocean observation sections obtained;

[0168] Step S13: obtaining the sea area section line corresponding to the sample ocean observation section, and selecting a number of temperature marking points in the sea area section line;

[0169] Step S14: In the sample ocean observation section, a straight line is drawn through each temperature mark point and perpendicular to the coastline to obtain multiple cross-sectional temperature monitoring lines, and a sample temperature monitoring line is selected from the multiple cross-sectional temperature monitoring lines obtained;

[0170] Step S15: performing temperature monitoring on the sample temperature monitoring line, and obtaining the temperature distribution overlap of the cross section corresponding to the sample temperature monitoring line according to the monitoring result;

[0171] The step S15 further includes the following specific steps:

[0172] Step S151: naming the cross-sectional temperature monitoring lines other than the sample temperature monitoring line among the plurality of cross-sectional temperature monitoring lines as the cross-sectional temperature line X1 to the cross-sectional temperature line Xc;

[0173] Step S152: performing temperature index interval analysis on the longitudinal sea area covered by the sample temperature monitoring line to obtain the temperature coverage depth interval T1 to the temperature coverage depth interval Ta corresponding to the sample temperature monitoring line;

[0174] The step S152 further includes the following specific steps:

[0175] The temperature value is acquired in each cross-sectional area covered by the sample temperature monitoring line to obtain multiple straight line area temperature values, and the obtained multiple straight line area temperature values ​​are compared in value, and the value range formed by the maximum straight line area temperature value and the minimum straight line area temperature value is named the straight line area temperature range;

[0176] A characteristic temperature layer value is set for the linear area temperature range. In the linear area temperature range, the sum of the minimum linear area temperature value and the characteristic temperature layer value is calculated to obtain the first temperature layer preset value. The sum of the first temperature layer preset value and the characteristic temperature layer value is calculated to obtain the second temperature layer preset value. Similarly, the sum of the b-1 temperature seal layer preset value and the characteristic temperature layer value is calculated to obtain the a temperature seal layer preset value.

[0177] In the cross-sectional area covered by the sample temperature monitoring line, the cross-sectional area where the regional temperature value is between the minimum linear area temperature value and the first temperature layer preset value is marked as the T1 linear temperature area, the cross-sectional area where the regional temperature value is between the first temperature layer preset value and the second temperature layer preset value is marked as the T2 linear temperature area, and so on, the cross-sectional area where the regional temperature value is between the ath temperature layer preset value and the maximum linear area temperature value is marked as the Ta linear temperature area;

[0178] In the sample temperature monitoring line, the sea depth range corresponding to the T1 linear temperature area is obtained to obtain the T1 temperature coverage depth interval. The sea depth range corresponding to the T2 linear temperature area is obtained to obtain the T2 temperature coverage depth interval. Similarly, the sea depth range corresponding to the Ta linear temperature area is obtained to obtain the Ta temperature coverage depth interval.

[0179] Step S153: performing temperature interval overlap analysis on the sample temperature monitoring line and the X1 section temperature line, and obtaining the X1 section temperature overlap according to the analysis results;

[0180] The step S153 further includes the following specific steps:

[0181] Monitor the temperature line of the X1 section, obtain the temperature coverage depth interval T1 to the temperature coverage depth interval Ta corresponding to the temperature line of the X1 section, and rename it to the temperature coverage depth interval XT1 to the temperature coverage depth interval XTa;

[0182] The overlapping range of the T1 temperature coverage depth interval and the XT1 temperature coverage depth interval is obtained to obtain the X1 temperature range overlap value. The overlapping range of the T2 temperature coverage depth interval and the XT2 temperature coverage depth interval is obtained to obtain the X2 temperature range overlap value. Similarly, the overlapping range of the Ta temperature coverage depth interval and the XTa temperature coverage depth interval is obtained to obtain the Xa temperature range overlap value.

[0183] Obtain the range value of the T1 temperature coverage depth interval to the Ta temperature coverage depth interval to obtain the T1 temperature coverage depth range value to the Ta temperature coverage depth range value;

[0184] The temperature overlap of the X1 section is obtained by calculating the T1 temperature coverage depth range value to the Ta temperature coverage depth range value and the X1 temperature range overlap value to the Xa temperature range overlap value;

[0185] Calculate the temperature coincidence of the X1 section. The specific formula is as follows:

[0186]

[0187] Among them, Wcx1 is the temperature overlap of the X1 section, Wffi is the overlap value of the Xi temperature range, Wdfi is the Ti temperature coverage depth range value, and a is the number of linear temperature areas;

[0188] Step S154: respectively obtaining the cross-sectional temperature coincidence of the sample temperature monitoring line and the cross-sectional temperature line from X2 to Xc, and obtaining the cross-sectional temperature coincidence from X2 to Xc;

[0189] Step S155: Calculate the average value of the temperature overlap of the sections X1 to Xc to obtain the temperature overlap of the section corresponding to the sample temperature monitoring line;

[0190] Step S16: Obtain the cross-sectional temperature distribution overlap corresponding to each cross-sectional temperature monitoring line, compare the values ​​of the obtained multiple cross-sectional temperature distribution overlaps, and mark the cross-sectional temperature distribution overlap with the largest value as the cross-sectional temperature index observation coefficient;

[0191] Step S2: Performing water depth salinity analysis on the sample ocean observation section, and obtaining the section salinity index observation coefficient corresponding to the sample ocean observation section based on the analysis results;

[0192] Benefits of step S1:

[0193] Step S1 focuses on the cross-sectional temperature coverage depth analysis of the sample ocean observation section, and obtains the cross-sectional temperature index observation coefficient through a series of operations. Its benefit is that, first of all, the target monitoring sea area is scientifically divided and samples are selected to ensure that the research is targeted and representative, avoiding blindness. Then, through detailed temperature monitoring of the sample temperature monitoring line and complex temperature interval overlap analysis, the temperature distribution pattern and similarity of different positions and depths of the section can be accurately grasped. The cross-sectional temperature index observation coefficient finally obtained can comprehensively reflect the temperature characteristics and stability of the section, and provide key and accurate temperature dimension data support for subsequent cross-sectional water stability assessment, which helps to more comprehensively and deeply understand the temperature conditions of the ocean section and its impact on water stability.

[0194] The step S2 further includes the following specific steps:

[0195] Step S21: obtaining the sea area section line corresponding to the sample ocean observation section, and selecting a number of salinity marking points on the sea area section line;

[0196] Step S22: In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each salinity mark point to obtain multiple section salinity monitoring lines, and a sample salinity monitoring line is selected from the multiple section salinity monitoring lines obtained;

[0197] Step S23: performing salinity monitoring on the sample salinity monitoring line, and obtaining the salinity distribution overlap of the cross section corresponding to the sample salinity monitoring line according to the monitoring result;

[0198] The step S23 further includes the following specific steps:

[0199] Step S231: naming the cross-section salinity monitoring lines other than the sample salinity monitoring line among the multiple cross-section salinity monitoring lines as S1 cross-section salinity line to Sd cross-section salinity line;

[0200] Step S232: performing salinity index interval analysis on the longitudinal sea area covered by the sample temperature monitoring line to obtain the salinity coverage depth interval F1 to the salinity coverage depth interval Fe corresponding to the sample salinity monitoring line;

[0201] The step S232 further includes the following specific steps:

[0202] The salinity value is obtained in each cross-section area covered by the sample salinity monitoring line to obtain multiple linear area salinity values, and the numerical values ​​of the multiple linear area salinity values ​​obtained are compared. The numerical range formed by the maximum linear area salinity value and the minimum linear area salinity value is named the linear area salinity range;

[0203] A characteristic salinity stratification value is set for the linear area salinity range. In the linear area salinity range, the sum of the minimum linear area salinity value and the characteristic salinity stratification value is calculated to obtain the first salinity stratification preset value. The sum of the first salinity stratification preset value and the characteristic salinity stratification value is calculated to obtain the second salinity stratification preset value. Similarly, the sum of the b-1th salinity seal preset value and the characteristic salinity stratification value is calculated to obtain the eth salinity seal preset value.

[0204] In the cross-sectional area covered by the sample salinity monitoring line, the cross-sectional area where the regional salinity value is between the minimum straight-line regional salinity value and the first salinity layer preset value is marked as the F1 straight-line salinity area, the cross-sectional area where the regional salinity value is between the first salinity layer preset value and the second salinity layer preset value is marked as the F2 straight-line salinity area, and so on, the cross-sectional area where the regional salinity value is between the e-th salinity layer preset value and the maximum straight-line regional salinity value is marked as the Fe straight-line salinity area;

[0205] In the sample salinity monitoring line, the sea depth range corresponding to the F1 straight line salinity area is obtained to obtain the F1 salinity coverage depth interval. The sea depth range corresponding to the F2 straight line salinity area is obtained to obtain the F2 salinity coverage depth interval. Similarly, the sea depth range corresponding to the Fe straight line salinity area is obtained to obtain the Fe salinity coverage depth interval.

[0206] Step S233: performing salinity interval overlap analysis on the sample salinity monitoring line and the salinity line of section S1, and obtaining the salinity overlap of section S1 according to the analysis results;

[0207] The step S233 further includes the following specific steps:

[0208] Monitor the salinity line of section S1, obtain the salinity coverage depth interval F1 to the salinity coverage depth interval Fe corresponding to the salinity line of section S1, and rename it as the salinity coverage depth interval SF1 to the salinity coverage depth interval SFe;

[0209] The overlapping range of the F1 salinity coverage depth interval and the SF1 salinity coverage depth interval is obtained to obtain the overlapping value of the S1 salinity range. The overlapping range of the F2 salinity coverage depth interval and the SF2 salinity coverage depth interval is obtained to obtain the overlapping value of the S2 salinity range. Similarly, the overlapping range of the Fe salinity coverage depth interval and the SFe salinity coverage depth interval is obtained to obtain the overlapping value of the Se salinity range.

[0210] Obtain the range value of the F1 salinity coverage depth interval to the Fe salinity coverage depth interval to obtain the F1 salinity coverage depth range value to the Fe salinity coverage depth range value;

[0211] The salinity overlap of S1 section is obtained by calculating the overlap between the F1 salinity coverage depth range and the Fe salinity coverage depth range, and the S1 salinity overlap value and the Se salinity overlap value.

[0212] The salinity coincidence of section S1 is calculated using the following formula:

[0213]

[0214] Among them, Ycx1 is the salinity overlap of section S1, Yffi is the salinity range overlap value of Si, Ydfi is the salinity coverage depth range value of Fi, and e is the number of linear salinity areas;

[0215] Step S234: respectively obtaining the salinity overlap between the sample salinity monitoring line and the salinity line from the S2 section to the Sd section, and obtaining the salinity overlap from the S2 section to the Sd section;

[0216] Step S235: Calculate the average value of the salinity coincidence of sections S1 to Sd to obtain the salinity distribution coincidence of the sections corresponding to the sample salinity monitoring line;

[0217] Step S24: Obtain the cross-section salinity distribution overlap corresponding to each cross-section salinity monitoring line, compare the values ​​of the obtained multiple cross-section salinity distribution overlaps, and mark the cross-section salinity distribution overlap with the largest value as the cross-section salinity index observation coefficient;

[0218] Benefits of Step S2

[0219] Step S2 is carried out around the water depth salinity analysis of the sample ocean observation section, aiming to obtain the section salinity index observation coefficient. Its advantage is that, similar to step S1, it first selects a sample salinity monitoring line, monitors the salinity of the sample salinity monitoring line, and conducts a series of operations such as salinity interval overlap analysis. This process can deeply explore the salinity distribution characteristics and change laws at different depths of the section, as well as the similarities between the salinity monitoring lines of different sections. The obtained section salinity index observation coefficient can effectively measure the salinity stability and consistency of the section, and provides an important salinity dimension basis for evaluating the stability of the water body of the section. It complements the temperature dimension data, making the understanding of the water body status of the ocean section more comprehensive and accurate.

[0220] Step S3: Evaluate the water stability of the sample ocean observation section based on the section salinity index observation coefficient and the section temperature index observation coefficient;

[0221] The step S3 further includes the following specific steps:

[0222] Obtain the cross-section salinity index observation coefficient and the cross-section temperature index observation coefficient respectively;

[0223] Obtain the stability interval of the cross-section salinity index and the stability interval of the cross-section temperature index respectively;

[0224] If the observed coefficient of the cross-section salinity index is within the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is within the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be stable;

[0225] If the observed coefficient of the cross-section salinity index is not in the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is in the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be unstable;

[0226] If the observed coefficient of the cross-section salinity index is within the stability interval of the cross-section salinity index, and the observed coefficient of the cross-section temperature index is not within the stability interval of the cross-section temperature index, then the water body of the sample ocean observation section is judged to be unstable;

[0227] If the observation coefficient of the section salinity index is not in the stability range of the section salinity index, and the observation coefficient of the section temperature index is not in the stability range of the section temperature index, it is judged that the water body of the sample ocean observation section is unstable.

[0228] Benefits of Step S3

[0229] Step S3 evaluates the water stability of the sample ocean observation section based on the observation coefficient of the salinity index and the observation coefficient of the temperature index. Its significance lies in the comprehensive use of the observation coefficients of the two key dimensions of salinity and temperature obtained in steps S1 and S2, and combined with the pre-set stability interval, to make a scientific and comprehensive judgment on the water stability of the sample ocean observation section. Through this multi-dimensional evaluation method, it is possible to more accurately grasp the actual situation of water stability and timely discover potential unstable factors, providing important reference for related work such as marine environmental protection, marine resource development and utilization, and marine disaster warning, and helping to take targeted measures to maintain the ecological balance of the ocean and ensure the safety of marine activities.

[0230] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel, characterized in that: include: Section temperature module: conducts water depth temperature analysis on the sample ocean observation section, and obtains the section temperature index observation coefficient corresponding to the sample ocean observation section based on the analysis results; Section salinity module: conducts water depth salinity analysis on the sample ocean observation section, and obtains the section salinity index observation coefficient corresponding to the sample ocean observation section based on the analysis results; Observation feedback module: Evaluate the water stability of the sample ocean observation section based on the section salinity index observation coefficient and the section temperature index observation coefficient.

2. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 1, characterized in that: The observation coefficient of the cross-section temperature index is obtained as follows: Mark a target monitoring sea area in the sea area where the unmanned vessel is currently sailing, set several sea section lines perpendicular to the coastline on the sea surface of the target monitoring water area, draw perpendicular planes between each sea section line and the horizontal plane to obtain multiple ocean observation sections, and select a sample ocean observation section from the multiple ocean observation sections obtained; Obtain the sea area section line corresponding to the sample ocean observation section, and select several temperature marking points in the sea area section line; In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each temperature mark point to obtain multiple section temperature monitoring lines, and a sample temperature monitoring line is selected from the multiple section temperature monitoring lines obtained; Perform temperature monitoring on the sample temperature monitoring line, and obtain the temperature distribution overlap of the cross section corresponding to the sample temperature monitoring line according to the monitoring results; The cross-sectional temperature distribution overlap corresponding to each cross-sectional temperature monitoring line is obtained respectively, and the numerical values ​​of the obtained multiple cross-sectional temperature distribution overlaps are compared, and the cross-sectional temperature distribution overlap with the largest value is marked as the cross-sectional temperature index observation coefficient.

3. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 2, characterized in that: The overlap of the cross-section temperature distribution is obtained as follows: Among the multiple cross-sectional temperature monitoring lines, the cross-sectional temperature monitoring lines other than the sample temperature monitoring line are named as the X1 cross-sectional temperature line to the Xc cross-sectional temperature line; The temperature index interval analysis is conducted on the longitudinal sea area covered by the sample temperature monitoring line, and the temperature coverage depth interval T1 to Ta temperature coverage depth interval is obtained; Perform temperature interval overlap analysis on the sample temperature monitoring line and the X1 section temperature line, and obtain the X1 section temperature overlap based on the analysis results; Obtain the temperature overlap between the sample temperature monitoring line and the temperature line from the X2 section to the Xc section, and obtain the temperature overlap from the X2 section to the Xc section. Calculate the average value of the temperature coincidence of sections X1 to Xc to obtain the temperature coincidence of the section corresponding to the sample temperature monitoring line; The cross-sectional temperature distribution overlap corresponding to each cross-sectional temperature monitoring line is obtained respectively, and the numerical values ​​of the obtained multiple cross-sectional temperature distribution overlaps are compared, and the cross-sectional temperature distribution overlap with the largest value is marked as the cross-sectional temperature index observation coefficient.

4. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 3, characterized in that: The temperature coverage depth interval from T1 to Ta is obtained as follows: The temperature value is acquired in each cross-sectional area covered by the sample temperature monitoring line to obtain multiple straight line area temperature values, and the obtained multiple straight line area temperature values ​​are compared in value, and the value range formed by the maximum straight line area temperature value and the minimum straight line area temperature value is named the straight line area temperature range; A characteristic temperature layer value is set for the linear area temperature range. In the linear area temperature range, the sum of the minimum linear area temperature value and the characteristic temperature layer value is calculated to obtain the first temperature layer preset value. The sum of the first temperature layer preset value and the characteristic temperature layer value is calculated to obtain the second temperature layer preset value. The sum of the b-1 temperature layer preset value and the characteristic temperature layer value is calculated to obtain the a temperature sealing layer preset value. In the cross-sectional area covered by the sample temperature monitoring line, the cross-sectional area where the regional temperature value is between the minimum linear area temperature value and the first temperature layer preset value is marked as the T1 linear temperature area, and the cross-sectional area where the regional temperature value is between the ath temperature layer preset value and the maximum linear area temperature value is marked as the Ta linear temperature area; In the sample temperature monitoring line, the sea area depth range corresponding to the T1 straight line temperature area is obtained to obtain the T1 temperature coverage depth interval, and the sea area depth range corresponding to the Ta straight line temperature area is obtained to obtain the Ta temperature coverage depth interval.

5. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 3, characterized in that: The temperature coincidence of the X1 section is obtained as follows: Monitor the temperature line of the X1 section, obtain the temperature coverage depth interval T1 to the temperature coverage depth interval Ta corresponding to the temperature line of the X1 section, and rename it to the temperature coverage depth interval XT1 to the temperature coverage depth interval XTa; The overlapping range of the T1 temperature coverage depth interval and the XT1 temperature coverage depth interval is obtained to obtain the X1 temperature range overlapping value, and the overlapping range of the Ta temperature coverage depth interval and the XTa temperature coverage depth interval is obtained to obtain the Xa temperature range overlapping value; Obtain the range value of the T1 temperature coverage depth interval to the Ta temperature coverage depth interval to obtain the T1 temperature coverage depth range value to the Ta temperature coverage depth range value; The temperature overlap of the X1 section is obtained by calculating the T1 temperature coverage depth range value to the Ta temperature coverage depth range value and the X1 temperature range overlap value to the Xa temperature range overlap value; Calculate the temperature coincidence of section X1.

6. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 1, characterized in that: The observation coefficient of the cross-section salinity index is obtained as follows: Obtain the sea area section line corresponding to the sample ocean observation section, and select several salinity mark points in the sea area section line; In the sample ocean observation section, a straight line perpendicular to the coastline is drawn through each salinity mark point to obtain multiple section salinity monitoring lines, and a sample salinity monitoring line is selected from the multiple section salinity monitoring lines obtained; Perform salinity monitoring on the sample salinity monitoring line, and obtain the salinity distribution overlap of the section corresponding to the sample salinity monitoring line according to the monitoring results; The cross-section salinity distribution overlap corresponding to each cross-section salinity monitoring line is obtained respectively, and the numerical values ​​of the obtained multiple cross-section salinity distribution overlaps are compared, and the cross-section salinity distribution overlap with the largest value is marked as the cross-section salinity index observation coefficient.

7. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 6, characterized in that: The overlap of cross-section salinity distribution is obtained as follows: Among the multiple cross-section salinity monitoring lines, the cross-section salinity monitoring lines other than the sample salinity monitoring line are named S1 cross-section salinity line to Sd cross-section salinity line respectively; The salinity index interval analysis was conducted on the longitudinal sea area covered by the sample temperature monitoring line, and the salinity coverage depth interval F1 to Fe corresponding to the sample salinity monitoring line was obtained; The salinity monitoring line of the sample and the salinity line of the S1 section are analyzed for salinity interval overlap, and the salinity overlap of the S1 section is obtained based on the analysis results; The details are as follows: Monitor the salinity line of section S1, and obtain the salinity coverage depth interval F1 to the salinity coverage depth interval Fe corresponding to the salinity line of section S1, and name it as the salinity coverage depth interval SF1 to the salinity coverage depth interval SFe; The overlapping range of the F1 salinity coverage depth interval and the SF1 salinity coverage depth interval is obtained to obtain the overlapping value of the S1 salinity range. The overlapping range of the F2 salinity coverage depth interval and the SF2 salinity coverage depth interval is obtained to obtain the overlapping value of the S2 salinity range. Similarly, the overlapping range of the Fe salinity coverage depth interval and the SFe salinity coverage depth interval is obtained to obtain the overlapping value of the Se salinity range. Obtain the range value of the F1 salinity coverage depth interval to the Fe salinity coverage depth interval to obtain the F1 salinity coverage depth range value to the Fe salinity coverage depth range value; Calculate the salinity coincidence of section S1; Obtain the salinity overlap between the sample salinity monitoring line and the salinity line from the S2 section to the Sd section, and obtain the salinity overlap from the S2 section to the Sd section; The average value of the salinity coincidence of section S1 to section Sd is calculated to obtain the salinity distribution coincidence of the section corresponding to the sample salinity monitoring line.

8. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 7, characterized in that: The salinity coverage depth interval of F1 to the salinity coverage depth interval of Fe is obtained as follows: The salinity value is obtained in each cross-section area covered by the sample salinity monitoring line to obtain multiple straight line area salinity values. The value range formed by the maximum straight line area salinity value and the minimum straight line area salinity value is named the straight line area salinity range; A characteristic salinity stratification value is set for the linear area salinity range. In the linear area salinity range, the sum of the minimum linear area salinity value and the characteristic salinity stratification value is calculated to obtain the first salinity stratification preset value. The sum of the first salinity stratification preset value and the characteristic salinity stratification value is calculated to obtain the second salinity stratification preset value. Similarly, the sum of the b-1th salinity seal preset value and the characteristic salinity stratification value is calculated to obtain the eth salinity seal preset value. In the cross-sectional area covered by the sample salinity monitoring line, the cross-sectional area where the regional salinity value is between the minimum straight line area salinity value and the first salinity layer preset value is marked as the F1 straight line salinity area. Similarly, the cross-sectional area where the regional salinity value is between the e-th salinity layer preset value and the maximum straight line area salinity value is marked as the Fe straight line salinity area. In the sample salinity monitoring line, the sea area depth range corresponding to the F1 straight line salinity area is obtained to obtain the F1 salinity coverage depth interval. Similarly, the sea area depth range corresponding to the Fe straight line salinity area is obtained to obtain the Fe salinity coverage depth interval.

9. The ocean hydrological multi-parameter cross-section observation system based on an unmanned vessel according to claim 1, characterized in that: The water stability of the sample ocean observation section is evaluated as follows: Obtain the cross-section salinity index observation coefficient and the cross-section temperature index observation coefficient respectively; Obtain the stability interval of the cross-section salinity index and the stability interval of the cross-section temperature index respectively; If the observed coefficient of the cross-section salinity index is within the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is within the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be stable; If the observed coefficient of the cross-section salinity index is not in the cross-section salinity index stability interval, and the observed coefficient of the cross-section temperature index is in the cross-section temperature index stability interval, then the water body of the sample ocean observation section is judged to be unstable; If the observed coefficient of the cross-section salinity index is within the stability interval of the cross-section salinity index, and the observed coefficient of the cross-section temperature index is not within the stability interval of the cross-section temperature index, then the water body of the sample ocean observation section is judged to be unstable; If the observation coefficient of the section salinity index is not in the stability range of the section salinity index, and the observation coefficient of the section temperature index is not in the stability range of the section temperature index, it is judged that the water body of the sample ocean observation section is unstable.

10. A method for observing ocean hydrological multi-parameter sections based on an unmanned vessel, applicable to an unmanned vessel-based ocean hydrological multi-parameter section observation system according to any one of claims 1 to 9, characterized in that: The observation method includes: Step S1: Performing water depth and temperature analysis on the sample ocean observation section, and obtaining the section temperature index observation coefficient corresponding to the sample ocean observation section according to the analysis results; Step S2: Performing a water depth salinity analysis on the sample ocean observation section, and obtaining a section salinity index observation coefficient corresponding to the sample ocean observation section based on the analysis results; Step S3: Evaluate the water stability of the sample ocean observation section based on the section salinity index observation coefficient and the section temperature index observation coefficient.

Images