A real-time intelligent profile observation system and method based on buoy control

Abstract

The present invention belongs to the technical field of marine information observation. The present invention provides a real-time intelligent profile observation system and method based on buoy control, including: based on the deployment of buoys, detecting whether the positioning of the buoy deployment position is accurate, generating a positioning signal, based on the positioning abnormality signal, real-time monitoring of water surface flow velocity data in the water surface chessboard area, analyzing whether the water flow velocity affects the actual coordinate deviation value of the buoy positioning, generating a water flow velocity influence signal, which can improve the positioning of the buoy on the water surface level, prevent the buoy from being inaccurately positioned due to the water flow velocity, and thus improve the accuracy of water quality data.

Description

Technical Field

[0001] The present invention belongs to the technical field of ocean information observation, and specifically relates to a real-time intelligent profile observation system and method based on buoy control as described in an embodiment. Background Art

[0002] Traditional ocean profile observation methods usually rely on ships, submarines or submersibles for fixed-point or cruise observations, but these methods are costly, long-term and have limited coverage. With the continuous development of buoy technology, combined with intelligent control and real-time data processing technology, various sensors and observation equipment are installed on buoys, combined with intelligent control algorithms and real-time data processing technology, high-precision observation and data transmission of ocean profiles can be achieved.

[0003] A Chinese patent with publication number CN107860371A discloses a freely retractable ocean profile observation device and method based on a large buoy, including: a freely retractable device, an underwater observation module, a data acquisition control module, a power supply module, a communication module, and a data receiving and processing module; the freely retractable device is used to provide power for underwater profile observation and precise positioning of each depth layer; the underwater observation module is used to integrate and carry various observation sensors to obtain water body profile data; the data acquisition control module is used to intelligently control the action of the freely retractable device and the data acquisition of the underwater observation module according to the sea conditions, and forward the data to the communication module; the communication module communicates with the data receiving and processing module of the land base station.

[0004] In the existing technology, only by freely and accurately controlling the layer depth position of the underwater observation module can long-term, continuous, fixed-point, real-time observation of ocean water profile environmental parameters within a certain range be achieved without human supervision, breaking the current situation where the real-time observation parameters are limited to the sea surface. However, the effects of water surface velocity and water surface fluctuation on the horizontal positioning and diving depth of the buoy are not analyzed, and the influence of water surface velocity and water surface fluctuation on the buoy positioning is not obtained, resulting in low accuracy of buoy detection data.

[0005] To this end, the present invention provides a real-time intelligent profile observation system and method based on buoy control. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: comprising the following steps:

[0008] Step 1: Based on the deployment of buoys, detect whether the positioning of the buoy deployment position is accurate and generate a positioning signal;

[0009] Step 2: Based on the inaccurate positioning signal, the water surface velocity data in the chessboard area of ​​the water surface is monitored in real time, and the water flow velocity is analyzed to see whether it affects the actual coordinate deviation value of the buoy positioning, and a water flow velocity influence signal is generated;

[0010] Step 3: Based on the accurate positioning signal, obtain the impurity content in the water, obtain the water quality characterization value, evaluate whether the water quality parameters are accurate, and generate a diving depth signal;

[0011] Step 4: Based on the abnormal diving depth signal, obtain the water surface fluctuation value and analyze whether the water surface fluctuation is the cause of the abnormal diving depth;

[0012] In step 4, the calculation process of water surface fluctuation value is:

[0013] In the same period, the water surface flow velocity value and the water surface wind speed value are added together to obtain the water surface fluctuation value;

[0014] The water surface fluctuation value is compared with the preset water surface fluctuation threshold. The comparison process is as follows:

[0015] If the water surface fluctuation value is greater than or equal to the water surface fluctuation threshold, it is determined that the water surface fluctuation is the cause of the abnormal diving depth;

[0016] If the water surface fluctuation value is less than the water surface fluctuation threshold, it is determined that the water surface fluctuation is not the cause of the abnormal diving depth.

[0017] The present invention further illustrates that in step 1, it also includes a method for obtaining the buoy position deviation value in the chessboard area:

[0018] The horizontal distance of the buoy in the sub-area is measured and recorded as X1; the vertical distance of the buoy in the sub-area is measured and recorded as Y1; according to the Pythagorean theorem formula: Obtain the buoy position representation value L in the sub-area, and then perform variance calculation on the buoy distance representation value in the sub-area to obtain the buoy position representation value in the chessboard area;

[0019] Subtract the buoy position representation value in the chessboard area from the expected buoy position threshold to obtain the buoy position deviation value in the chessboard area;

[0020] The buoy position deviation value in the chessboard area is compared with the preset deviation threshold. The comparison process is as follows:

[0021] If the buoy position deviation value in the chessboard area is greater than or equal to the preset deviation threshold, it is determined that the buoy deployment position is inaccurate, and an inaccurate positioning signal is generated;

[0022] If the buoy position deviation value in the chessboard area is less than the preset deviation threshold, the buoy layout position is determined to be accurately positioned, and an accurate positioning signal is generated.

[0023] The present invention further illustrates that: in step 2, the change data of the water surface velocity of the sub-unit in the same time period and the change value of the buoy position deviation in the chessboard area of ​​the sub-unit in the same time period are compared to obtain the impact assessment value;

[0024] Among them, further explanation is needed:

[0025] The meaning of the sub-unit water surface velocity change data within the time period is:

[0026] Monitor the water surface velocity data at each time node, subtract the water surface velocity data corresponding to two adjacent time nodes, and obtain the water surface velocity change data of the sub-unit within the time period;

[0027] The meaning of the change value of the buoy position deviation in the sub-unit chessboard area within the time period is:

[0028] Based on the above monitoring scheme, at the same time node, the buoy position deviation value in the chessboard area is obtained and subtracted to obtain the buoy position deviation change value in the sub-unit chessboard area within the time period;

[0029] The impact assessment value is compared with the preset impact threshold. The comparison process is as follows:

[0030] If the impact assessment value is greater than or equal to the preset impact threshold, it is determined that the water flow velocity has an impact on the actual coordinate deviation value of the buoy positioning, and a water flow velocity impact signal is generated;

[0031] If the impact assessment value is less than the preset impact threshold, it is determined that the water flow velocity has no impact on the actual coordinate deviation value of the buoy positioning, and a water flow velocity no impact signal is generated.

[0032] The present invention further illustrates that in step 3, the method for obtaining the water quality impurity content and the process of comparing it with the preset parameter evaluation threshold are as follows:

[0033] The impurity content of water quality includes the representative value of the sediment content in the water;

[0034] Obtain the sediment content characterization value in the water, and obtain the water quality impurity content W through the formula: W = F × α, where F represents the sediment content characterization value in the water, and α represents the preset proportionality coefficient;

[0035] The water quality characterization value is compared with the preset parameter assessment threshold. The comparison process is as follows:

[0036] If the water quality characterization value is greater than or equal to the preset parameter evaluation threshold, the water quality parameter is determined to be accurate and a normal diving depth signal is generated;

[0037] If the water quality characterization value is less than the preset parameter evaluation threshold, the water quality parameter is judged to be inaccurate and an abnormal diving depth signal is generated.

[0038] The present invention further describes: the method for obtaining the characterization value of the sediment content in water:

[0039] Collecting sample aqueous solutions in each sub-area of ​​the chessboard area, detecting and processing the mass percentage value and volume percentage value of the sediment in the sample aqueous solution in each sub-area, and obtaining a characterization value of the sediment content in the water;

[0040] The characterization value of the sediment content in water is obtained by weighted addition based on the sediment mass percentage and the sediment volume percentage.

[0041] The present invention further illustrates that the process of processing the sediment mass ratio is as follows:

[0042] The amount of precipitate in the sample aqueous solution is obtained, the mass of all precipitates in the sample aqueous solution is added and calculated to obtain the mass of all precipitates in the sample aqueous solution, and the mass of all precipitates in the sample aqueous solution is ratioed to the mass of the sample aqueous solution to obtain the precipitate mass ratio.

[0043] The present invention further illustrates that the process of processing the sediment volume ratio is as follows:

[0044] Obtain the amount of precipitates in the sample aqueous solution, add up the volumes of all precipitates in the sample aqueous solution to obtain the volume of all precipitates in the sample aqueous solution, and ratio all precipitates in the sample aqueous solution to the volume of the sample aqueous solution to obtain the precipitate volume percentage.

[0045] The present invention further illustrates: In step 4, the calculation process of the water surface wind speed value is:

[0046] How to obtain the water surface wind speed value:

[0047] The water surface wind speed in each chessboard area is monitored in real time to obtain the water surface wind speed unit value in the chessboard area, and the water surface wind speed unit values ​​in each chessboard area are added and averaged to obtain the horizontal wind speed value in the chessboard area;

[0048] How to obtain the horizontal wind speed unit value in the chessboard area:

[0049] During the monitoring period, the monitoring period is divided into multiple time nodes, the water surface wind speed corresponding to each time node is monitored and recorded, and the standard deviation of the water surface flow velocity after monitoring and recording is calculated to obtain the water surface wind speed unit value in the chessboard area.

[0050] The present invention further illustrates: In step 4, the calculation process of the water surface velocity value is:

[0051] How to obtain the water surface velocity value:

[0052] The water surface velocity in each chessboard area is monitored in real time to obtain a unit value of the water surface velocity in the chessboard area, and the unit values ​​of the water surface velocity in each chessboard area are added and averaged to obtain a water surface velocity value in the chessboard area;

[0053] How to obtain the unit value of water surface velocity in the chessboard area:

[0054] During the monitoring period, the monitoring period is divided into multiple time nodes, the water surface flow velocity corresponding to each time node is monitored and recorded, and the standard deviation of the water surface flow velocity after monitoring and recording is calculated to obtain the unit value of the water surface flow velocity in the chessboard area.

[0055] The present invention further describes: a real-time intelligent profile observation system based on buoy control, the system comprising the following modules:

[0056] Horizontal positioning module: Based on the deployment of buoys, it detects whether the positioning of the buoy deployment position is accurate and generates a positioning signal;

[0057] Impact analysis module: Based on the inaccurate positioning signal, the water surface velocity data in the chessboard area of ​​the water surface is monitored in real time, and the water flow velocity is analyzed to see whether it affects the actual coordinate deviation value of the buoy positioning, and the water flow velocity impact signal is generated;

[0058] Data detection module: Based on accurate positioning signals, obtain the impurity content in the water, obtain the water quality characterization value, evaluate whether the water quality parameters are accurate, and generate a diving depth signal;

[0059] Cause analysis module: Based on the abnormal diving depth signal, the water surface fluctuation value is obtained to analyze whether the water surface fluctuation is the cause of the abnormal diving depth;

[0060] Calculation process of water surface fluctuation value:

[0061] In the same period, the water surface flow velocity value and the water surface wind speed value are added together to obtain the water surface fluctuation value;

[0062] The water surface fluctuation value is compared with the preset water surface fluctuation threshold. The comparison process is as follows:

[0063] If the water surface fluctuation value is greater than or equal to the water surface fluctuation threshold, it is determined that the water surface fluctuation is the cause of the abnormal diving depth;

[0064] If the water surface fluctuation value is less than the water surface fluctuation threshold, it is determined that the water surface fluctuation is not the cause of the abnormal diving depth.

[0065] The beneficial effects of the present invention are as follows:

[0066] 1. The present invention detects whether the positioning of the buoy placement position is accurate based on the placement of buoys, generates a positioning signal, monitors the water surface velocity data in the water surface chessboard area in real time based on the positioning abnormality signal, analyzes whether the water flow velocity affects the actual coordinate deviation value of the buoy positioning, and generates a water flow velocity influence signal, which can improve the positioning of the buoy on the water surface level and prevent the buoy from being inaccurately positioned due to the water flow velocity, thereby improving the accuracy of the water quality data;

[0067] 2. The present invention obtains the impurity content in the water based on the normal positioning signal, obtains the water quality characterization value, evaluates whether the water quality parameters are accurate, generates a diving depth signal, obtains the water surface fluctuation value based on the abnormal diving depth signal, and analyzes whether the water surface fluctuation is the cause of the abnormal diving depth. This can avoid the buoy from collecting data inaccurately due to the diving depth, and provide historical data to prevent water surface fluctuations from affecting buoy positioning and water quality detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The present invention will be further described below in conjunction with the accompanying drawings.

[0069] Figure 1 is a flow chart of Embodiment 1 of the present invention;

[0070] Figure 2 is a flow chart of Embodiment 2 of the present invention;

[0071] Figure 3 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0072] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0073] Example 1

[0074] like Figure 1 As shown, a real-time intelligent profile observation method based on buoy control according to an embodiment of the present invention comprises the following steps:

[0075] Step 1: Based on the deployment of buoys, detect whether the positioning of the buoy deployment position is accurate and generate a positioning signal;

[0076] It should be noted that: the positioning signal includes: an accurate positioning signal or an inaccurate positioning signal;

[0077] In some embodiments, the water surface area is divided into a plurality of sub-areas in a chessboard manner, and the distances of the buoys in the sub-areas are measured to obtain the buoy position deviation values ​​in the chessboard areas;

[0078] Among them, it is necessary to explain that: there is only one buoy in each chessboard area;

[0079] The distance between buoys in a sub-area includes: the longitudinal distance between buoys and the lateral distance between buoys;

[0080] In some embodiments, the method for obtaining the buoy position deviation value in the chessboard area is as follows:

[0081] The lateral distance of the buoy in the sub-area is measured and recorded as X1; the longitudinal distance of the buoy in the sub-area is measured and recorded as Y1; the Pythagorean theorem formula is calculated based on the lateral distance X1 and the longitudinal distance of the buoy to obtain the buoy position representation value in the sub-area, and then the variance of the buoy distance representation value in the sub-area is calculated to obtain the buoy position representation value in the chessboard area;

[0082] What needs further explanation is: Pythagorean theorem formula: Obtain the buoy position representation value L in the sub-area;

[0083] Subtract the buoy position representation value in the chessboard area from the expected buoy position threshold to obtain the buoy position deviation value in the chessboard area;

[0084] The buoy position deviation value in the chessboard area is compared with the preset deviation threshold. The comparison process is as follows:

[0085] If the buoy position deviation value in the chessboard area is greater than or equal to the preset deviation threshold, it is determined that the buoy deployment position is inaccurate, and an inaccurate positioning signal is generated;

[0086] If the buoy position deviation value in the chessboard area is less than the preset deviation threshold, the buoy deployment position is determined to be accurately positioned, and an accurate positioning signal is generated;

[0087] Step 2: Based on the inaccurate positioning signal, the water surface velocity data in the chessboard area of ​​the water surface is monitored in real time, and the water flow velocity is analyzed to see whether it affects the actual coordinate deviation value of the buoy positioning, and a water flow velocity influence signal is generated;

[0088] In some embodiments, the water surface velocity change data of the sub-unit in the same time period is compared with the buoy position deviation change value in the chessboard area of ​​the sub-unit in the same time period to obtain the impact assessment value;

[0089] Among them, further explanation is needed:

[0090] The meaning of the sub-unit water surface velocity change data within the time period is:

[0091] Monitor the water surface velocity data at each time node, subtract the water surface velocity data corresponding to two adjacent time nodes, and obtain the water surface velocity change data of the sub-unit within the time period;

[0092] The meaning of the change value of the buoy position deviation in the sub-unit chessboard area within the time period is:

[0093] Based on the above monitoring scheme, at the same time node, the buoy position deviation value in the chessboard area is obtained and subtracted to obtain the buoy position deviation change value in the sub-unit chessboard area within the time period;

[0094] The impact assessment value is compared with the preset impact threshold. The comparison process is as follows:

[0095] If the impact assessment value is greater than or equal to the preset impact threshold, it is determined that the water flow velocity has an impact on the actual coordinate deviation value of the buoy positioning, and a water flow velocity impact signal is generated;

[0096] If the impact assessment value is less than the preset impact threshold, it is determined that the water flow velocity has no impact on the actual coordinate deviation value of the buoy positioning, and a water flow velocity no impact signal is generated;

[0097] The technical concept of the embodiment of the present invention is as follows: by detecting whether the positioning of the buoy deployment position is accurate based on the deployment of buoys, generating a positioning signal, and based on the positioning abnormality signal, monitoring the water surface flow velocity data in the water surface chessboard area in real time, analyzing whether the water flow velocity affects the actual coordinate deviation value of the buoy positioning, and generating a water flow velocity influence signal, which can improve the positioning of the buoy on the water surface level and prevent the buoy from being inaccurately positioned due to the water flow velocity, thereby improving the accuracy of water quality data.

[0098] Example 2

[0099] like Figure 2 As shown, the real-time intelligent profile observation method based on buoy control described in the embodiment of the present invention further includes the following steps:

[0100] Step 3: Based on the accurate positioning signal, obtain the impurity content in the water, obtain the water quality characterization value, evaluate whether the water quality parameters are accurate, and generate a diving depth signal;

[0101] Among them, it is necessary to explain:

[0102] The impurity content of water quality includes the representative value of the sediment content in the water;

[0103] The water quality characterization value represents: the assessment of the detection chessboard area by the impurity content in the water detected by the buoy;

[0104] In some embodiments, the water impurity content is obtained by:

[0105] Obtain the sediment content characterization value in the water, and obtain the water quality impurity content W through the formula: W = F × α, where F represents the sediment content characterization value in the water, and α represents the preset proportionality coefficient;

[0106] How to obtain the representative value of sediment content in water:

[0107] Collecting sample aqueous solutions in each sub-area of ​​the chessboard area, detecting and processing the mass percentage value and volume percentage value of the sediment in the sample aqueous solution in each sub-area, and obtaining a characterization value of the sediment content in the water;

[0108] Based on the weighted addition of the sediment mass percentage value and the sediment volume percentage value, the representative value of the sediment content in the water is obtained;

[0109] The process of processing the sediment mass ratio is as follows:

[0110] Obtain the amount of precipitate in the sample aqueous solution, add and calculate the mass of all precipitates in the sample aqueous solution to obtain the mass of all precipitates in the sample aqueous solution, and compare the mass of all precipitates in the sample aqueous solution with the mass of the sample aqueous solution to obtain the mass ratio of precipitate;

[0111] The process of processing the sediment volume percentage is as follows:

[0112] Obtain the amount of precipitates in the sample aqueous solution, add up the volumes of all precipitates in the sample aqueous solution to obtain the volume of all precipitates in the sample aqueous solution, and make a ratio between all precipitates in the sample aqueous solution and the volume of the sample aqueous solution to obtain a precipitate volume ratio;

[0113] The water quality characterization value is compared with the preset parameter assessment threshold. The comparison process is as follows:

[0114] If the water quality characterization value is greater than or equal to the preset parameter evaluation threshold, the water quality parameter is determined to be accurate and a normal diving depth signal is generated;

[0115] If the water quality characterization value is less than the preset parameter evaluation threshold, the water quality parameter is determined to be inaccurate and a diving depth abnormality signal is generated;

[0116] Step 4: Based on the abnormal diving depth signal, obtain the water surface fluctuation value and analyze whether the water surface fluctuation is the cause of the abnormal diving depth;

[0117] Among them, water surface fluctuations include: wind and wave fluctuations;

[0118] In some embodiments, the calculation process of the water surface fluctuation value is:

[0119] In the same period, the water surface flow velocity value and the water surface wind speed value are added together to obtain the water surface fluctuation value;

[0120] The water surface fluctuation value is compared with the preset water surface fluctuation threshold. The comparison process is as follows:

[0121] If the water surface fluctuation value is greater than or equal to the water surface fluctuation threshold, it is determined that the water surface fluctuation is the cause of the abnormal diving depth;

[0122] If the water surface fluctuation value is less than the water surface fluctuation threshold, it is determined that the water surface fluctuation is not the cause of the abnormal diving depth;

[0123] Since water surface fluctuations are not the cause of abnormal diving depth, it may be that the buoy has been used for a long time, resulting in mechanical wear and tear, which has caused the accuracy of measuring diving depth to decrease;

[0124] How to obtain the water surface velocity value:

[0125] The water surface velocity in each chessboard area is monitored in real time to obtain a unit value of the water surface velocity in the chessboard area, and the unit values ​​of the water surface velocity in each chessboard area are added and averaged to obtain a water surface velocity value in the chessboard area;

[0126] Among them, it needs further explanation: the method of obtaining the unit value of water surface velocity in the chessboard area is:

[0127] During the monitoring period, the monitoring period is divided into multiple time nodes, the water surface velocity corresponding to each time node is monitored and recorded, and the standard deviation of the water surface velocity after monitoring and recording is calculated to obtain the unit value of the water surface velocity in the chessboard area;

[0128] How to obtain the water surface wind speed value:

[0129] The water surface wind speed in each chessboard area is monitored in real time to obtain the water surface wind speed unit value in the chessboard area, and the water surface wind speed unit values ​​in each chessboard area are added and averaged to obtain the horizontal wind speed value in the chessboard area;

[0130] Among them, it needs further explanation: the method of obtaining the horizontal wind speed unit value in the chessboard area is:

[0131] During the monitoring period, the monitoring period is divided into multiple time nodes, the water surface wind speed corresponding to each time node is monitored and recorded, and the standard deviation of the water surface velocity after monitoring and recording is calculated to obtain the water surface wind speed unit value in the chessboard area;

[0132] Specifically, the time node for monitoring the water surface wind speed and the time node for monitoring the water surface flow speed are the same time node;

[0133] The technical concept of the embodiments of the present invention is as follows: based on the normal positioning signal, the impurity content in the water is obtained, the water quality characterization value is obtained, the accuracy of the water quality parameters is evaluated, and the diving depth signal is generated. Based on the abnormal diving depth signal, the water surface fluctuation value is obtained, and it is analyzed whether the water surface fluctuation is the cause of the abnormal diving depth. This can avoid the buoy from collecting data inaccurately due to the diving depth, and provide historical data to prevent the water surface fluctuation from affecting the buoy positioning and water quality detection.

[0134] Example 3

[0135] like Figure 3 As shown, a real-time intelligent profile observation system based on buoy control according to an embodiment of the present invention includes the following system modules:

[0136] Horizontal positioning module: Based on the deployment of buoys, it detects whether the positioning of the buoy deployment position is accurate and generates a positioning signal;

[0137] Impact analysis module: Based on the inaccurate positioning signal, the water surface velocity data in the chessboard area of ​​the water surface is monitored in real time, and the water flow velocity is analyzed to see whether it affects the actual coordinate deviation value of the buoy positioning, and the water flow velocity impact signal is generated;

[0138] Data detection module: Based on accurate positioning signals, obtain the impurity content in the water, obtain the water quality characterization value, evaluate whether the water quality parameters are accurate, and generate a diving depth signal;

[0139] Cause analysis module: Based on the abnormal diving depth signal, the water surface fluctuation value is obtained to analyze whether the water surface fluctuation is the cause of the abnormal diving depth;

[0140] Calculation process of water surface fluctuation value:

[0141] In the same period, the water surface velocity value and the water surface wind speed value are added together to obtain the water surface fluctuation value;

[0142] The water surface fluctuation value is compared with the preset water surface fluctuation threshold. The comparison process is as follows:

[0143] If the water surface fluctuation value is greater than or equal to the water surface fluctuation threshold, it is determined that the water surface fluctuation is the cause of the abnormal diving depth;

[0144] If the water surface fluctuation value is less than the water surface fluctuation threshold, it is determined that the water surface fluctuation is not the cause of the abnormal diving depth.

[0145] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A real-time intelligent profile observation method based on buoy control, characterized in that: The following steps are involved: Step 1: Based on the deployment of buoys, detect whether the positioning of the buoy deployment position is accurate and generate a positioning signal; Step 2: Based on the inaccurate positioning signal, the water surface velocity data in the chessboard area of ​​the water surface is monitored in real time, and the water flow velocity is analyzed to see whether it affects the actual coordinate deviation value of the buoy positioning, and a water flow velocity influence signal is generated; Step 3: Based on the accurate positioning signal, obtain the impurity content in the water, obtain the water quality characterization value, evaluate whether the water quality parameters are accurate, and generate a diving depth signal; Step 4: Based on the abnormal diving depth signal, obtain the water surface fluctuation value and analyze whether the water surface fluctuation is the cause of the abnormal diving depth; In step 4, the calculation process of water surface fluctuation value is: In the same period, the water surface flow velocity value and the water surface wind speed value are added together to obtain the water surface fluctuation value; The water surface fluctuation value is compared with the preset water surface fluctuation threshold. The comparison process is as follows: If the water surface fluctuation value is greater than or equal to the water surface fluctuation threshold, it is determined that the water surface fluctuation is the cause of the abnormal diving depth; If the water surface fluctuation value is less than the water surface fluctuation threshold, it is determined that the water surface fluctuation is not the cause of the abnormal diving depth; In step 1, the method for obtaining the buoy position deviation value in the chessboard area is also included: The horizontal distance of the buoy in the sub-area is measured and recorded as X1; the vertical distance of the buoy in the sub-area is measured and recorded as Y1; according to the Pythagorean theorem formula: Obtain the buoy position representation value L in the sub-area, and then perform variance calculation on the buoy distance representation value in the sub-area to obtain the buoy position representation value in the chessboard area; Subtract the buoy position representation value in the chessboard area from the expected buoy position threshold to obtain the buoy position deviation value in the chessboard area; The buoy position deviation value in the chessboard area is compared with the preset deviation threshold. The comparison process is as follows: If the buoy position deviation value in the chessboard area is greater than or equal to the preset deviation threshold, it is determined that the buoy deployment position is inaccurate, and an inaccurate positioning signal is generated; If the buoy position deviation value in the chessboard area is less than the preset deviation threshold, the buoy deployment position is determined to be accurately positioned, and an accurate positioning signal is generated; In step 3, the method of obtaining the water impurity content and comparing it with the preset parameter evaluation threshold is as follows: The water impurity content includes water quality characterization values; Obtain the water quality characterization value, and obtain the water quality impurity content W through the formula: W = F × α, where F represents the water quality characterization value and α represents the preset proportionality coefficient; The water quality characterization value is compared with the preset parameter assessment threshold. The comparison process is as follows: If the water quality characterization value is greater than or equal to the preset parameter evaluation threshold, the water quality parameter is determined to be accurate and a normal diving depth signal is generated; If the water quality characterization value is less than the preset parameter evaluation threshold, the water quality parameter is determined to be inaccurate and a diving depth abnormality signal is generated; How to obtain water quality characterization values: Collecting sample aqueous solutions in each sub-area of ​​the chessboard area, detecting and processing the mass percentage value and volume percentage value of the sediment in the sample aqueous solution in each sub-area to obtain a water quality characterization value; The water quality characterization value is obtained by weighted addition based on the sediment mass percentage value and the sediment volume percentage value; The process of processing the sediment mass ratio is as follows: Obtain the amount of precipitate in the sample aqueous solution, add and calculate the mass of all precipitates in the sample aqueous solution to obtain the mass of all precipitates in the sample aqueous solution, and compare the mass of all precipitates in the sample aqueous solution with the mass of the sample aqueous solution to obtain the mass ratio of precipitate; The process of processing the sediment volume percentage is as follows: Obtain the amount of precipitate in the sample aqueous solution, add up the volumes of all precipitates in the sample aqueous solution to obtain the volume of all precipitates in the sample aqueous solution, and ratio the volume of all precipitates in the sample aqueous solution to the volume of the sample aqueous solution to obtain the precipitate volume percentage.

2. A real-time intelligent profile observation method based on buoy control according to claim 1, characterized in that: In step 2, the change data of the water surface velocity of the sub-unit in the same time period and the change value of the buoy position deviation in the chessboard area of ​​the sub-unit in the same time period are compared to obtain the impact assessment value; Among them, the meaning of the sub-unit water surface velocity change data within the time period is: Monitor the water surface velocity data at each time node, subtract the water surface velocity data corresponding to two adjacent time nodes, and obtain the water surface velocity change data of the sub-unit within the time period; The meaning of the change value of the buoy position deviation in the sub-unit chessboard area within the time period is: Based on the above monitoring scheme, at the same time node, the buoy position deviation value in the chessboard area is obtained and subtracted to obtain the buoy position deviation change value in the sub-unit chessboard area within the time period; The impact assessment value is compared with the preset impact threshold. The comparison process is as follows: If the impact assessment value is greater than or equal to the preset impact threshold, it is determined that the water flow velocity has an impact on the actual coordinate deviation value of the buoy positioning, and a water flow velocity impact signal is generated; If the impact assessment value is less than the preset impact threshold, it is determined that the water flow velocity has no impact on the actual coordinate deviation value of the buoy positioning, and a water flow velocity no impact signal is generated.

3. A real-time intelligent profile observation method based on buoy control according to claim 1, characterized in that: In step 4, the calculation process of the water surface wind speed value is: How to obtain the water surface wind speed value: The water surface wind speed in each chessboard area is monitored in real time to obtain the water surface wind speed unit value in the chessboard area, and the water surface wind speed unit values ​​in each chessboard area are added and averaged to obtain the water surface wind speed value in the chessboard area; How to obtain the unit value of water surface wind speed in the chessboard area: During the monitoring period, the monitoring period is divided into multiple time nodes, the water surface wind speed corresponding to each time node is monitored and recorded, and the standard deviation of the water surface flow velocity after monitoring and recording is calculated to obtain the water surface wind speed unit value in the chessboard area.

4. The real-time intelligent profile observation method based on buoy control according to claim 1 is characterized in that: In step 4, the calculation process of the water surface velocity value is: How to obtain the water surface velocity value: The water surface velocity in each chessboard area is monitored in real time to obtain a unit value of the water surface velocity in the chessboard area, and the unit values ​​of the water surface velocity in each chessboard area are added and averaged to obtain a water surface velocity value in the chessboard area; How to obtain the unit value of water surface velocity in the chessboard area: During the monitoring period, the monitoring period is divided into multiple time nodes, the water surface flow velocity corresponding to each time node is monitored and recorded, and the standard deviation of the water surface flow velocity after monitoring and recording is calculated to obtain the unit value of the water surface flow velocity in the chessboard area.

5. A real-time intelligent profile observation system based on buoy control, characterized in that: The system is used to execute the method described in any one of claims 1 to 4 above, and the system includes the following modules: Horizontal positioning module: Based on the deployment of buoys, it detects whether the positioning of the buoy deployment position is accurate and generates a positioning signal; Impact analysis module: Based on the inaccurate positioning signal, the water surface velocity data in the chessboard area of ​​the water surface is monitored in real time, and the water flow velocity is analyzed to see whether it affects the actual coordinate deviation value of the buoy positioning, and the water flow velocity impact signal is generated; Data detection module: Based on accurate positioning signals, obtain the impurity content in the water, obtain the water quality characterization value, evaluate whether the water quality parameters are accurate, and generate a diving depth signal; Cause analysis module: Based on the abnormal diving depth signal, the water surface fluctuation value is obtained to analyze whether the water surface fluctuation is the cause of the abnormal diving depth; Calculation process of water surface fluctuation value: In the same period, the water surface flow velocity value and the water surface wind speed value are added together to obtain the water surface fluctuation value; The water surface fluctuation value is compared with the preset water surface fluctuation threshold. The comparison process is as follows: If the water surface fluctuation value is greater than or equal to the water surface fluctuation threshold, it is determined that the water surface fluctuation is the cause of the abnormal diving depth; If the water surface fluctuation value is less than the water surface fluctuation threshold, it is determined that the water surface fluctuation is not the cause of the abnormal diving depth.

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