CN115727822A - Sample analysis system for ocean monitoring data extraction - Google Patents
Sample analysis system for ocean monitoring data extraction Download PDFInfo
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Abstract
The invention relates to the technical field of ocean data processing, and discloses a sample analysis method for ocean monitoring data extraction, wherein a gridded matrix detection point is established for a region to be detected, the distance between two adjacent detection points is named as a grid distance, and the monitoring data of each detection point is collected and analyzed to form a group of sample data sets; and detecting the area to be detected for multiple times in a period, and recording detection records of each time to form multiple groups of sample data sets which change along with the detection time. This sample analytic system is used in ocean monitoring data extraction according to water velocity, rivers direction, topography slope etc. separates into high density region, low density region and flat density region with the detection area, and the people of being convenient for dispose the check point of different densities according to specific regional position, whether easily receives the environmental impact according to the region, decides what of configuration check point to also more accuracy under the condition that can make the suitable amount of detected data.
Description
Technical Field
The invention relates to the technical field of ocean data processing, in particular to a sample analysis system for ocean monitoring data extraction.
Background
The research on the substances is favorable for not only enabling people to know the specific situation of the diversity of marine organisms, but also facilitating the analysis of the composition of the seabed sludge for people, and further developing the industry beneficial to the marine agriculture fishery and the like.
Because the influence of ocean current, wind direction, temperature and internal and external life activities of the seawater in different time periods is different, the composition of the seabed sludge needs to be researched in different time periods for sample analysis of the ocean sludge, the external influence on the sludge sampling process needs to be reduced as much as possible in the analysis process, and the collected sludge sample can represent the most true state of the seabed sludge sample as much as possible;
in the existing method for periodically analyzing the seabed sludge, a sampling survey method is adopted, however, when the method is used, the collection quantity, the collection position and the collection period of the sample are not considered according to specific parameters such as sea wind, terrain and the like, in this case, if the collection quantity is small, the collected sample is difficult to be subjected to the specific difference degree of the sludge in the table, and if the collection quantity is large, more redundant and miscellaneous data are easily generated, and the workload of sample analysis work is increased;
in the collection process to the mud sample, still need seal the save to the mud sample, in order to avoid the mud sample to pollute by other bacterials in the sea water, in the prior art, seal the save to the mud sample and accomplish, but do not carry out hierarchical inspection to the mud sample, among the seabed silt, superficial mud sample and deep mud sample also have certain difference, the above-mentioned difference of deep analysis all helps going on of scientific research work, however in the current sampling equipment, do not concentrate on the way that the mud sample divides the layer to handle, the application provides a sample analytic system for ocean monitoring data extraction is used for promoting to solve above-mentioned problem.
Disclosure of Invention
The present invention provides a sample analysis system for ocean monitoring data extraction that facilitates solving the problems mentioned in the background art above.
The invention provides the following technical scheme: a sample analysis method for ocean monitoring data extraction comprises the following steps:
for a gridding matrix detection point is established in an area to be detected, the distance between two adjacent detection points is named as a grid distance, monitoring data of each detection point is collected and analyzed, and a group of sample data sets are formed;
detecting the area to be detected for multiple times in a period, and recording detection records of each time to form a plurality of groups of sample data sets which change along with the detection time;
analyzing and comparing the data in each group of sample data sets with the target range value of the data, and marking the specific position of the abnormal value of the data in the group of sample data sets;
and marking the specific position of the data abnormal value in each group of sample data set in the period, and analyzing the influence proportion of the data abnormal value.
As an alternative to the sample analysis method for ocean monitoring data extraction according to the present invention, wherein: the establishing of the meshed matrix detection points for the area to be detected, collecting the monitoring data of each detection point, analyzing and forming a group of sample data sets specifically comprises:
collecting samples of detection points through a sample collector;
carrying out sample layering on samples at the detection points through a sample collector;
isolating samples of two adjacent layers, and reducing the risk of confusion of different layers;
and detecting and analyzing the samples in each layer through a detection instrument, and recording sample data.
As an alternative to the sample analysis method for ocean monitoring data extraction according to the present invention, wherein: the establishing of the gridded matrix detection point specifically comprises the following steps:
dividing the detection area into a high-density area, a flat-density area and a low-density area;
if the detection area is a high-density area, uniformly arranging detection points on the high-density area by taking the distance a as a distance, namely, the grid distance is a;
if the detection area is a flat density area, uniformly arranging detection points on the low density area by taking the distance b as a distance, namely, the grid distance is b;
if the detection area is a low-density area, uniformly arranging detection points on the low-density area by taking the distance c as a distance, namely, the grid distance is c; wherein a < b < c;
and collecting samples on each detection point, and recording sample data after detection and analysis.
As an alternative to the sample analysis method for ocean monitoring data extraction according to the present invention, wherein: also comprises the following steps:
recording the motion vector value and the motion quantity value of the upper water area of the area to be detected;
measuring a terrain vector value and a terrain number value of an area to be detected;
if the included angle formed by the motion vector value and the terrain vector value is an acute angle, the detection area is determined to be a high-density area, otherwise, if the included angle formed by the motion vector value and the terrain vector value is an obtuse angle, the detection area is determined to be a low-density area;
if the detection area is a gentle terrain, determining that the area to be detected has no terrain vector value and no terrain quantity value, namely, determining that the detection area is a flat density area;
as an alternative to the sample analysis method for ocean monitoring data extraction according to the present invention, wherein: arranging the grid spacing according to the motion quantity value and the terrain quantity value, wherein the motion quantity value and the terrain quantity are in negative correlation with the grid spacing;
the high-density area also comprises a stacking area, and a detection point is additionally arranged at the position of the stacking area;
the low-density area and the flat-density area and the stacking area form a stacking extension area, and detection points are additionally arranged on the stacking extension area;
specifically, the width of the stacking area is measured, a detection point is added in the width range, if the low-density area and the stacking area form a stacking extension area, the additional detection point of the stacking extension area with the same width as the stacking area is measured, and if the flat-density area and the stacking area form the stacking extension area, the additional detection point of the stacking extension area with the double width of the stacking area is measured.
As an alternative to the sample analysis method for ocean monitoring data extraction according to the present invention, wherein: the method comprises the following steps of detecting an area to be detected for multiple times in a period, recording detection records of each time, and forming a plurality of groups of sample data sets which change along with detection time specifically comprises the following steps:
wherein, the motion quantity value is positively correlated with the detection frequency;
the method specifically comprises the following steps:
carrying out multi-test detection on an area to be detected in a period, acquiring a plurality of groups of sample data sets which change along with time, and recording the detection times as n;
analyzing and comparing each sample data set, only keeping one of two or more similar sample data sets, removing redundant sample data sets, and recording the removed number as m;
the frequency of multi-measurement to an area to be detected in one period is
Where t represents the time interval of this cycle;
and calculating the detection frequency of the area to be detected so as to carry out timing detection on the area to be detected subsequently according to the frequency.
As an alternative to the sample analysis method for ocean monitoring data extraction according to the present invention, wherein: the specific position of the data abnormal value in each group of sample data set in the marking period and the specific influence of the data abnormal value analysis specifically comprise the following steps:
making a circle on the gridded matrix detection point by taking the specific position of the data abnormal value as a circle center and the influence range of the data abnormal value as a radius, and taking the area in the circle as an abnormal area in the time point represented by the group of sample data sets;
marking abnormal regions in respective time points represented by each group of sample data sets in a period by the method;
screening abnormal regions which appear at a certain local position for many times, and outputting the regions which are selected by the abnormal regions as regions with influence specific gravity;
and screening abnormal regions which are once present in a certain local position, and outputting the regions as regions without influencing specific gravity.
A system for realizing the sample analysis method for ocean monitoring data extraction comprises,
the sample collector is used for collecting samples to be detected and layering the samples;
the sample detection module consists of a plurality of sensors and is used for measuring the internal components of the sample and transmitting the information of the internal components of the sample to the sample analysis module;
and the sample analysis module is used for receiving the information transmitted by the sample detection module, comparing and analyzing the information with a preset value and judging whether the information is abnormal or not.
As an alternative of the sample analysis system for ocean monitoring data extraction according to the present invention, wherein: the sample collector includes:
the collecting pipe comprises a collecting bin which is through up and down and a closed adjusting bin, and the adjusting bin is separated from the collecting bin through a bin plate;
be equipped with a plurality of sliding trays on the storehouse board, equal slidable mounting has the piece of cutting apart in every sliding tray, and the one end of cutting apart the piece is equipped with the assembly plate, and the assembly plate is connected with the storehouse board through first spring, cuts apart the piece and is used for cutting apart into at least one cavity with gathering the storehouse, still including rotating the bull stick of assembly in adjusting the storehouse, installs a plurality of extrusion pieces on the bull stick, extrusion piece and assembly plate one-to-one.
As an alternative of the sample analysis system for ocean monitoring data extraction according to the present invention, wherein: the sensors include nutrient salt sensors, heavy metal element sensors, ocean carbonate system sensors and radioactive sensors.
The invention has the following beneficial effects:
1. this sample analytic system is used in ocean monitoring data extraction according to water velocity, rivers direction, topography slope etc. separates into high density region, low density region and flat density region with the detection area, and the people of being convenient for dispose the check point of different density according to specific regional position, receives whether easily by the environmental impact according to the region, decides what of configuration check point to also more accuracy under the condition that can make the measured data be appropriate.
2. The sample analysis system for ocean monitoring data extraction comprises a high-density area, a stacking area and a control unit, wherein a detection point is additionally arranged at the position of the stacking area; the high-density area is represented as a water-facing slope, and the stacking area is represented as a slope bottom of the water-facing slope, and the high-density area most easily causes accumulation of sediments in water and is also a section with the most complex sludge components, so that a detection point is additionally arranged at the position, and the real and comprehensive detection of data is more facilitated.
3. The sample analysis system for ocean monitoring data extraction finally determines the minimum period of abnormal data of the detection area through the motion vector value, the motion number value, the terrain vector value and the terrain number value of a specific area, and after the minimum period is determined, the area is subjected to stationing sampling at the periodic node, so that more novel variable information can be obtained under the condition of the minimum detection times, the accuracy of the information is ensured, and meanwhile, the redundancy degree of the data can be effectively reduced.
4. This sample analytic system is used in ocean monitoring data extraction separates silt in the cavity of difference, and the benefit of doing so is convenient for the layering sample seabed silt to, the sample of every level can relatively independent save, can be more accurate measure the material composition in every level silt, and the difference of each level silt of contrast that is more clear.
5. This sample analytic system is used in ocean monitoring data extraction, through setting up hollow gasbag structure, this structure can change the water pressure in the seabed into the closing plate to the pressure that fills up to make the closing plate can inseparabler laminating on the sealing gasket, make each cavity mutually independent of being separated the formation, mutually noninterfere avoids separating the mud in the different cavities of formation and at the in-process intermixing of transportation.
Drawings
FIG. 1 is a schematic diagram of the distribution structure of the test points in the abnormal area.
Fig. 2 is a schematic diagram of the structure of a system part of the invention.
Fig. 3 is a schematic structural diagram of the sample collector of the present invention.
Fig. 4 is another schematic structural diagram of the sample collector of the present invention.
Fig. 5 is an enlarged view of the structure of the present invention at a.
Fig. 6 is a schematic view of the structure of the air bag of the present invention.
In the figure: 1. the device comprises a collecting pipe, 2, a collecting bin, 3, an adjusting bin, 4, a sealing gasket, 5, a separating piece, 6, a first spring, 7, an assembling plate, 8, an extruding block, 9, a rotating rod, 10, a pressure stabilizing hole, 11, an air inlet pipe, 12, a hard plate, 13, a second spring, 14, a corrugated pipe air bag, 15, a valve, 16, an air conveying pipe, 17, an assembling seat, 18, a flexible air bag, 19 and a sealing plate.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
A sample analysis method for ocean monitoring data extraction comprises the following steps:
for a matrix detection point for establishing gridding in a region to be detected, referring to the detection point illustration in fig. 1 specifically, the distance between two adjacent detection points is named as a grid distance, and monitoring data of each detection point is collected and analyzed to form a group of sample data sets;
the method specifically comprises the following steps:
collecting samples of detection points through a sample collector;
carrying out sample layering on samples at the detection points through a sample collector;
isolating samples of two adjacent layers, and reducing the risk of confusion of different layers;
and detecting and analyzing the samples in each layer by using a detection instrument, and recording sample data.
The establishing of the gridded matrix detection point specifically comprises the following steps:
dividing the detection area into a high-density area, a flat-density area and a low-density area;
if the detection area is a high-density area, uniformly arranging detection points on the high-density area by taking the distance a as a distance, namely, the grid distance is a;
if the detection area is a flat density area, uniformly arranging detection points on the low density area by taking the distance b as a distance, namely, the grid distance is b;
if the detection area is a low-density area, uniformly arranging detection point positions on the low-density area by taking the distance c as a distance, namely, the grid distance is c; wherein a < b < c;
and collecting samples on each detection point, and recording sample data after detection and analysis.
The judgment criteria of the high density area, the flat density area and the low density area are specifically as follows:
recording the motion vector value and the motion quantity value of the upper water area of the area to be detected; the motion vector value is used for representing the direction of the water flow; the motion quantity value is used for representing the flow rate of the water flow;
measuring a terrain vector value and a terrain number value of an area to be detected; the terrain vector value is used for representing the inclination direction of a slope formed by a certain terrain, and the specified terrain vector value is represented as the direction from the slope bottom of the slope to the slope top of the slope; the terrain quantity value is expressed as a specific inclination angle of the slope;
if the included angle formed by the motion vector value and the terrain vector value is an acute angle, the detection area is determined to be a high-density area, otherwise, if the included angle formed by the motion vector value and the terrain vector value is an obtuse angle, the detection area is determined to be a low-density area;
if the detection area is a gentle terrain, the area to be detected is determined to have no terrain vector value and no terrain quantity value, namely, the detection area is regarded as a flat density area.
Considering that the influence of environmental factors on sludge deposition in a detection area is different, the detection area is divided into a high-density area, a low-density area and a flat-density area according to specific influence environments, such as water flow speed, water flow direction, terrain gradient and the like, so that people can conveniently configure detection points with different densities according to specific area positions, wherein the high-density area is regarded as an area which is easy to be influenced by the environmental factors, the low-density area is regarded as an area which is not easy to be influenced by the environments, and the flat-density area is located between the high-density area and the low-density area.
Further, arranging the grid spacing according to the motion quantity value and the terrain quantity value, wherein the motion quantity value and the terrain quantity are in negative correlation with the grid spacing;
the high-density area also comprises a stacking area, and a detection point is additionally arranged at the position of the stacking area; the high-density area is represented as a water-facing slope, and the stacking area is represented as a slope bottom of the water-facing slope, and the high-density area most easily causes accumulation of sediments in water and is also a section with the most complex sludge components, so that a detection point is additionally arranged at the position, and the real and comprehensive detection of data is more facilitated.
The low-density area and the flat-density area and the stacking area form a stacking extension area, and detection points are additionally arranged on the stacking extension area;
specifically, the width of the stacking area is measured, a detection point is added in the width range, if the low-density area and the stacking area form a stacking extension area, the additional detection point of the stacking extension area with the same width as the stacking area is measured, and if the flat-density area and the stacking area form the stacking extension area, the additional detection point of the stacking extension area with the double width of the stacking area is measured.
Detecting the area to be detected for multiple times in a period, and recording detection records of each time to form a plurality of groups of sample data sets which change along with the detection time;
the method specifically comprises the following steps:
wherein, the motion quantity value is positively correlated with the detection frequency;
carrying out multi-test detection on an area to be detected in a period, acquiring a plurality of groups of sample data sets which change along with time, and recording the detection times as n;
analyzing and comparing each sample data set, only keeping one of two or more similar sample data sets, removing redundant sample data sets, and recording the number of removed sample data sets as m;
the frequency of multi-measurement to an area to be detected in one period is
Where t represents the time interval of this cycle;
and calculating the detection frequency of the area to be detected so as to carry out timing detection on the area to be detected subsequently according to the frequency.
According to the method for determining the detection frequency, the abnormal minimum period of the data of the detection area is finally determined through the motion vector value, the motion number value, the terrain vector value and the terrain number value of the specific area, after the minimum period is determined, the area is subjected to stationing sampling at the period node, and more novel variable information can be obtained under the condition that the detection times are minimum, so that the accuracy of the information is ensured, and meanwhile, the redundancy degree of the data can be effectively reduced.
Analyzing and comparing the data in each group of sample data sets with the target range value of the data, and marking the specific position of the abnormal value of the data in the group of sample data sets;
marking specific positions of data abnormal values in each group of sample data sets in the period, and analyzing influence proportion of the data abnormal values.
The method specifically comprises the following steps:
making a circle on the gridded matrix detection point by taking the specific position of the data abnormal value as a circle center and the influence range of the data abnormal value as a radius, and taking the area in the circle as an abnormal area in the time point represented by the group of sample data sets;
marking abnormal regions in respective time points represented by each group of sample data sets in a period by the method; as shown in fig. 1, a first abnormal region is represented as a point location region where an abnormality occurs in a first group of sample data sets, a second abnormal region is a point location region where an abnormality occurs in a second group of sample data sets, where there are three regions where abnormal point locations occur in the second group of sample data sets, and a third abnormal region is a region where abnormal point locations occur in a third group of sample data sets;
screening abnormal regions which appear at a certain local position for many times, and outputting the regions which are selected by the abnormal regions as regions with influence specific gravity; for example, the first abnormal area and the three second abnormal areas in fig. 1 need to be output as areas having influence on specific gravity, and the areas need to be avoided when certain operations, such as cultivation and planting, are performed.
And screening abnormal areas which are once appeared in a certain local position, and outputting the areas as areas without influence specific gravity, such as the third abnormal area in the figure 1, wherein the influence is negligible.
Example 2
Referring to fig. 2 to 3, the present embodiment discloses a system of a sample analysis method for ocean monitoring data extraction, including,
the sample collector is used for collecting samples to be detected and layering the samples;
the sample detection module consists of a plurality of sensors and is used for measuring the internal components of the sample and transmitting the information of the internal components of the sample to the sample analysis module; the sensors include nutrient salt sensors, heavy metal element sensors, ocean carbonate system sensors and radioactive sensors.
And the sample analysis module is used for receiving the information transmitted by the sample detection module, comparing and analyzing the information with a preset value and judging whether the information is abnormal or not.
The sample collector includes:
the collecting pipe 1 comprises a collecting bin 2 which is through up and down and a closed adjusting bin 3, and the adjusting bin 3 is separated from the collecting bin 2 through a bin plate;
be equipped with a plurality of sliding trays on the storehouse board, equal slidable mounting cuts apart the piece in every sliding tray, and the one end of cutting apart the piece is equipped with assembly plate 7, and assembly plate 7 is connected with the storehouse board through first spring 6, cuts apart the piece and is used for cutting apart into at least one cavity with gathering storehouse 2, still including rotating the bull stick 9 of assembly in adjusting storehouse 3, installs a plurality of stripper blocks 8 on the bull stick 9, stripper block 8 and assembly plate 7 one-to-one.
It should be noted that the first spring 6 is used for separating the separating component 5 from the collecting bin 2, and the rotating rod 9 can make the extrusion block 8 rotate and abut against the assembling plate 7, so as to make the assembling plate 7 push the separating component 5 to move leftwards, and the separating component 5 can divide the collecting bin 2 into a plurality of chambers.
For avoiding that 3 internal pressure in surge bin are too big, this application still sets up steady voltage hole 10 on the right side wall of surge bin 3, for improving that the mutual influence factor diminishes between the separated cavity that forms of separator 5, this scheme still sets up the assembly groove that is used for assembling separator 5 on the left side wall of gathering storehouse 2, just, all be equipped with on the upper and lower wall of assembly groove and sliding tray be used for improving with the sealed pad 4 of leakproofness between separator 5.
The specific working principle of this embodiment is as follows:
in a normal state, the separating piece 5 is located close to the right side, the collecting bin 2 is a channel which is communicated up and down, the whole collecting pipe 1 is pressed towards the seabed sludge, the seabed sludge is embedded in the collecting bin 2, then the rotating rod 9 is rotated, the separating piece 5 is stirred by the extruding block 8 to move left, and the sludge is separated in different chambers, so that the seabed sludge can be conveniently sampled in different layers, samples in each layer can be stored independently, the material components in the sludge in each layer can be more accurately measured, and the difference of the sludge in each layer can be more clearly compared; in this embodiment, for the convenience of later stage to the extraction of sample, can design into the detachable structure with the left side wallboard of gathering 2, like this, the later stage is to the suitability that the sample extracted, directly dismantle gather 2 left wallboards in storehouse can.
Example 3
The present embodiment is a further improvement made on embodiment 2, and specifically referring to fig. 4-6, the partitioning member 5 includes two upper and lower sealing plates 19, and the two upper and lower sealing plates 19 are connected through a flexible air bag 18, an assembling seat 17 for fastening the sealing plates 19 is fixedly installed on the assembling plate 7, the sealing plates 19 can slide up and down in a sliding space formed by the assembling seat 17 and the assembling plate 7, and the flexible air bag 18 is communicated with the hollow rotating rod 9 through an air pipe 16;
also comprises a pneumatic system which is provided with a pneumatic system,
the pneumatic system specifically includes two hard boards 12, and two hard boards 12 and bellows gasbag 14 interconnect and enclose into a hollow gasbag structure, still are equipped with second spring 13 between two hard boards 12 for two hard boards 12 keep away from each other, above-mentioned hollow gasbag structure and intake pipe 11 intercommunication, and the valve 15 of controlling the gaseous break-make of equipment on the intake pipe 11.
The purpose of this embodiment is to improve the sealing property when the partitioning member 5 is in contact with the fitting groove and the sliding groove, and also to reduce the resistance when the sealing member is inserted into the collection silo 2 with sludge;
before operation, when the valve 15 is opened on the sea surface, the hollow air bag structure is communicated with each flexible air bag 18, under the action of the second spring 13, the two hard plates 12 are far away from each other, the gas part in the flexible air bag 18 enters the hollow air bag structure, so that the distance between the two sealing plates 19 is reduced, the distance is reduced, the sealing plates 19 are inserted into the collection bin 2 containing sludge more smoothly, then the valve 15 is closed, the flexible air bag enters the sea bottom for sludge collection, the collection pipe 1 is integrally pressed towards the sea bottom sludge, the sea bottom sludge is embedded in the collection bin 2, then the rotating rod 9 is rotated, the extrusion block 8 is used for stirring 5 the separating piece, namely the two sealing plates 19 move leftwards, thereby separate silt in the cavity of difference, later open valve 15, because this moment at the bottom, water pressure causes in the hollow gasbag structure gas to enter into flexible gasbag 18, this in-process, two closing plate 19 can keep away from the motion each other, thereby make closing plate 19 can be inseparabler laminating on sealed 4, make each cavity mutually independent of being separated the formation, mutually noninterfere, avoid separating the mud in the different cavities of formation at the in-process intermixture of transportation, later reclose valve 15 can, after avoiding breaking away from the seabed, gas reentrant hollow gasbag structure in the flexible gasbag 18.
Through setting up hollow gasbag structure, this structure can convert the water pressure of seabed into the pressure that sealing plate 19 is sealed 4 to make sealing plate 19 can be inseparabler laminating on sealed 4, the design combines service environment to solve the phenomenon of probably because the sealed string material that does not closely lead to of sealing plate 19 between each cavity that reality exists.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A sample analysis method for ocean monitoring data extraction is characterized by comprising the following steps: the method comprises the following steps:
establishing gridded matrix detection points for a region to be detected, wherein the distance between two adjacent detection points is named as a grid distance, collecting monitoring data of each detection point, analyzing and forming a group of sample data sets;
detecting the area to be detected for multiple times in a period, and recording detection records of each time to form a plurality of groups of sample data sets which change along with the detection time;
analyzing and comparing the data in each group of sample data sets with the target range value of the data, and marking the specific position of the abnormal value of the data in the group of sample data sets;
and marking the specific position of the data abnormal value in each group of sample data set in the period, and analyzing the influence proportion of the data abnormal value.
2. The method for analyzing a sample for ocean monitoring data extraction according to claim 1, wherein: the establishing of the meshed matrix detection points for the area to be detected, collecting the monitoring data of each detection point, analyzing and forming a group of sample data sets specifically comprises:
collecting samples of detection points through a sample collector;
carrying out sample layering on samples at the detection points through a sample collector;
isolating samples of two adjacent layers, and reducing the risk of confusion of different layers;
and detecting and analyzing the samples in each layer through a detection instrument, and recording sample data.
3. The method for analyzing a sample for ocean monitoring data extraction according to claim 2, wherein: the establishing of the gridded matrix detection point specifically comprises the following steps:
dividing the detection area into a high-density area, a flat-density area and a low-density area;
if the detection area is a high-density area, uniformly arranging detection points on the high-density area by taking the distance a as a distance, namely, the grid distance is a;
if the detection area is a flat density area, uniformly arranging detection points on the low density area by taking the distance b as a distance, namely, the grid distance is b;
if the detection area is a low-density area, uniformly arranging detection points on the low-density area by taking the distance c as a distance, namely, the grid distance is c; wherein a < b < c;
and collecting samples on each detection point, and recording sample data after detection and analysis.
4. The method for analyzing a sample for marine survey data extraction according to claim 3, wherein: also comprises the following steps:
recording the motion vector value and the motion quantity value of the upper water area of the area to be detected;
measuring a terrain vector value and a terrain number value of an area to be detected;
if the included angle formed by the motion vector value and the terrain vector value is an acute angle, the detection area is determined to be a high-density area, otherwise, if the included angle formed by the motion vector value and the terrain vector value is an obtuse angle, the detection area is determined to be a low-density area;
if the detection area is a gentle terrain, the area to be detected is determined to have no terrain vector value and no terrain quantity value, namely, the detection area is regarded as a flat density area.
5. The method for analyzing a sample for ocean monitoring data extraction according to claim 4, wherein: arranging the grid spacing according to the motion quantity value and the terrain quantity value, wherein the motion quantity value and the terrain quantity are in negative correlation with the grid spacing;
the high-density area also comprises a stacking area, and a detection point is additionally arranged at the position of the stacking area;
the low-density area and the flat-density area and the stacking area form a stacking extension area, and detection points are additionally arranged on the stacking extension area;
specifically, the width of the stacking area is measured, a detection point is added in the width range, if the low-density area and the stacking area form a stacking extension area, the additional detection point of the stacking extension area with the same width as the stacking area is measured, and if the flat-density area and the stacking area form the stacking extension area, the additional detection point of the stacking extension area with the double width of the stacking area is measured.
6. The method for analyzing a sample for marine survey data extraction according to claim 5, wherein: the method includes the steps of detecting an area to be detected for multiple times in a period, recording detection records of each time, and forming a plurality of groups of sample data sets which change along with detection time, wherein the steps of:
wherein, the motion quantity value is positively correlated with the detection frequency;
the method specifically comprises the following steps:
carrying out multi-test detection on an area to be detected in a period, acquiring a plurality of groups of sample data sets which change along with time, and recording the detection times as n;
analyzing and comparing each sample data set, only keeping one of two or even more similar sample data sets, removing redundant sample data sets, and recording the removed number as m;
the frequency of multi-measurement to an area to be detected in one period is
Where t represents the time interval of this cycle;
and calculating the detection frequency of the area to be detected so as to carry out timing detection on the area to be detected according to the frequency.
7. The method for analyzing a sample for marine survey data extraction according to claim 1, wherein: the specific position of the data abnormal value in each group of sample data set in the marking period and the specific influence of the data abnormal value analysis specifically comprise the following steps:
making a circle on the gridded matrix detection point by taking the specific position of the data abnormal value as a circle center and the influence range of the data abnormal value as a radius, and taking the area in the circle as an abnormal area in the time point represented by the group of sample data sets;
marking abnormal areas in respective time points represented by each group of sample data sets in a period;
screening abnormal regions which appear at a certain local position for many times, and outputting the regions which are selected by the abnormal regions as regions with influence specific gravity;
and screening abnormal regions which are once present in a certain local position, and outputting the regions as regions without influencing specific gravity.
8. A system for implementing the method for analyzing a sample for ocean monitoring data extraction according to claim 1, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the sample collector is used for collecting samples to be detected and layering the samples;
the sample detection module consists of a plurality of sensors and is used for measuring the internal components of the sample and transmitting the information of the internal components of the sample to the sample analysis module;
and the sample analysis module is used for receiving the information transmitted by the sample detection module, comparing and analyzing the information with a preset value and judging whether the information is abnormal or not.
9. The system for sample analysis for ocean monitoring data extraction according to claim 8, wherein: the sample collector includes:
the collecting pipe (1) comprises a collecting bin (2) which is through from top to bottom and a closed adjusting bin (3), and the adjusting bin (3) is separated from the collecting bin (2) through a bin plate;
be equipped with a plurality of sliding trays on the storehouse board, equal slidable mounting has the piece of cutting apart in every sliding tray, the one end of cutting apart the piece is equipped with assembly plate (7), assembly plate (7) are connected with the storehouse board through first spring (6), it is used for cutting apart into at least one cavity with gathering storehouse (2) to cut apart the piece, still including rotating bull stick (9) of assembly in regulation storehouse (3), install a plurality of stripper blocks (8) on bull stick (9), stripper block (8) and assembly plate (7) one-to-one.
10. The system for analyzing a sample for marine survey data extraction according to claim 8, wherein: the sensors include nutrient salt sensors, heavy metal element sensors, ocean carbonate system sensors and radioactive sensors.
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| CN109101996A (en) * | 2018-07-06 | 2018-12-28 | 杭州电子科技大学 | A kind of submarine hydrothermal solution detection method of polymorphic type detection sensor INTEGRATED SIGHT |
| CN110081930A (en) * | 2019-04-24 | 2019-08-02 | 中国科学院城市环境研究所 | A kind of land, sea and air integration ecological environmental monitoring system |
| CN216484009U (en) * | 2021-12-09 | 2022-05-10 | 常州市钟楼区环境监测站 | Silt sampling device that lake water quality monitoring used |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109101996A (en) * | 2018-07-06 | 2018-12-28 | 杭州电子科技大学 | A kind of submarine hydrothermal solution detection method of polymorphic type detection sensor INTEGRATED SIGHT |
| CN110081930A (en) * | 2019-04-24 | 2019-08-02 | 中国科学院城市环境研究所 | A kind of land, sea and air integration ecological environmental monitoring system |
| CN216484009U (en) * | 2021-12-09 | 2022-05-10 | 常州市钟楼区环境监测站 | Silt sampling device that lake water quality monitoring used |
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