A pre-programmed timed release device and release method for marine surveys

Abstract

The present invention discloses a pre-programmed timed release device and a release method for marine surveys, which relates to the technical field of underwater adjustment operations. It includes dynamically setting the threshold range of the performance parameters of the release device according to the real-time marine physical characteristic parameters of the target sea area, and constructing a set of survey areas including priority weights based on the ecological environment characteristic data of the target sea area and the threshold range of the performance parameters. The present invention defines the target marine survey area based on the marine physical parameters and the ecological environment characteristic data of the target sea area, then predicts the change trend of the ecological environment characteristic data by combining time series analysis, and at the same time combines the adaptive adjustment algorithm and the power consumption constraint algorithm to enable the dynamic adjustment of the performance parameters and the working area of the release device. Thus, it is achieved that the release device can dynamically adjust the working area and the performance parameters based on the environment in the ocean, which to a certain extent guarantees the high efficiency, accuracy and energy saving of the release device in the marine survey operation.

Description

Technical Field

[0001] The present invention relates to the technical field of underwater adjustment operations, and specifically to a pre-programmed timed release device and release method for marine surveys. Background Art

[0002] In the development and utilization of marine resources, accurate investigation and data collection of the underwater environment are crucial. Therefore, a pre-programmed timed release device and release method for marine surveys are needed to ensure the accuracy and timeliness of the survey data.

[0003] After retrieval, the Chinese patent application with the publication number "CN117227944A" discloses an "underwater survey device". This application sets a fixed bracket in the electronic cabin, and the fixed bracket is used to abut against the bottom of the water along the height direction of the electronic cabin, so that the underwater survey device is placed underwater during the survey process, making the underwater survey device closer to the survey object during the survey process, reducing the influence of the water environment, water depth, and sea conditions during the survey process, adapting to different usage scenarios, expanding the scope of application. At the same time, by setting a rotating probe including a collection part, a movable part, and an adjustment mechanism, the collection part is arranged on the side of the movable part away from the electronic cabin and is electrically connected to the electronic cabin. The two ends of the adjustment mechanism are respectively movably connected to the movable part and the electronic cabin. The adjustment mechanism is used to drive the movable part to rotate around a first center line, and the first center line is parallel to the height direction of the electronic cabin, so as to drive the collection part to rotate 360° relative to the electronic cabin in a plane with a normal vector parallel to the height direction of the electronic cabin to adjust the collection direction of the collection part relative to the electronic cabin. Or, the adjustment mechanism is used to drive the movable part to rotate around a second rotation direction perpendicular to the first rotation direction, so as to drive the movable part to rotate 360° relative to the electronic cabin in a plane with a normal vector perpendicular to the height direction of the electronic cabin to adjust the inclination angle of the movable part relative to the electronic cabin, thereby adjusting the collection angle of the collection part relative to the electronic cabin.

[0004] In addition, the Chinese patent application with the publication number "CN117262167A" discloses an "active ocean profile observation device for marine scientific experiments". This application can drive the observation box to dive to a predetermined depth by using a waterproof motor and a spiral blade, so as to observe the ocean profile data; after the data collection is completed, air is injected into the internal space of the buoyancy shell by means of a suction fan and an air duct, improving the reliability of the observation of ocean profile data in this solution.

[0005] However, in the actual use process, due to the influence of various marine factors during the operation and release of the release device, deviations occur during the operation and release process. However, when the above two disclosed devices and similar methods are actually used, only simple data collection and release operations are performed through preset programs and algorithms, lacking dynamic adaptability to the marine environment and intelligent adjustment. Summary of the Invention

[0006] The purpose of the present invention is to provide a pre-programmed timing release device and release method for marine surveys, so as to solve the problems raised in the above background technology.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] In the first aspect, a pre-programmed timing release method for marine surveys is proposed, including:

[0009] Dynamically set the threshold interval of the performance parameters of the release device according to the real-time marine physical property parameters of the target sea area;

[0010] Based on the ecological environment characteristic data of the target sea area and the threshold interval of the performance parameters, construct a set of survey areas including priority weights;

[0011] Based on time series analysis, predict the change trend of the ecological environment characteristic data of different survey areas in the same sea area, and set an adaptive adjustment algorithm;

[0012] The closed-loop feedback controller on the release device dynamically adjusts the value of the threshold interval of the performance parameters according to the adaptive adjustment algorithm, and embeds the power consumption constraint algorithm of the release device during the adjustment process;

[0013] The release device selects the survey areas that meet the working conditions of the release device from the set of survey areas according to the change of the threshold interval of the performance parameters;

[0014] Combined with the selected survey area of the release device and the dynamic threshold interval, calculate the operating parameters of the release device, so that the survey operation of the release device can be adjusted according to the real-time changes of the target ocean.

[0015] As a further preference of this technical solution, the physical property parameters cover at least two of temperature, salinity, and flow velocity. The method for dynamically setting the threshold interval of the performance parameters of the release device according to the real-time marine physical property parameters includes:

[0016] Construct the correlation formula of the release device based on the temperature gradient and salinity The correlation formula is intended to determine the threshold pressure data of the performance parameter threshold interval in the release device in the ocean;

[0017] Solve the threshold interval of the performance parameters based on the co-link equation ;

[0018] The correlation formula is where and represent the calibration coefficients corresponding to the temperature and salinity in the release device respectively, Represents the compensation term for environmental noise inside the releaser.

[0019] As a further preference of this technical solution, the method for dynamically setting the performance parameter threshold range of the releaser based on real-time ocean physical characteristic parameters includes:

[0020] Construct a temperature gradient and flow velocity correlation formula, which aims to determine the performance data parameter threshold inside the releaser regarding the suspended depth data in the ocean;

[0021] Obtain the performance parameter threshold range based on the correlation formula ;

[0022] The correlation formula is , where is the buoyancy correction coefficient, is the temperature compensation constant.

[0023] As a further preference of this technical solution, the method for dynamically setting the performance parameter threshold range of the releaser based on real-time ocean physical characteristic parameters includes;

[0024] Construct a salinity and flow velocity joint formula, which aims to determine the performance parameter threshold range inside the releaser regarding the flow velocity change data in the ocean;

[0025] Obtain the performance parameter threshold range based on the joint formula ;

[0026] The joint formula is , where is the salinity-flow velocity coupling coefficient, is the reference salinity determined based on the historical average salinity of the target sea area, is the flow velocity nonlinear correction factor, used to compensate the sensitivity of the releaser at low flow velocities, is the minimum flow velocity threshold, used to avoid the releaser being interfered by zero flow velocity.

[0027] As a further preference of this technical solution, the ecological environment characteristic data covers the biological aggregation intensity , chemical substance concentration gradient and pollutant diffusion path , and the priority in the surveyed area set area is positively correlated with any one of the ecological environment characteristic data;

[0028] The method for constructing the surveyed area set including the priority weight includes: establishing a priority arrangement formula, where the priority arrangement formula is used to output the area priority weight ;

[0029] The priority arrangement formula is , where are respectively the dynamic adjustment coefficients corresponding to the items in the ecological environment characteristic data, is used to represent the modulus of the chemical substance concentration gradient, is used to represent the matching degree of the pollutant diffusion path, and its value is between (0-1).

[0030] As a further preference of this technical solution, the adaptive adjustment algorithm is used to obtain the predicted value, and the adaptive algorithm set based on the ecological environment characteristic data is , where is the final predicted value, is the basic predicted value, which is calculated based on the average value of the historical ecological environment characteristic data, is the path correction amount.

[0031] As a further preference of this technical solution, the formula of the power consumption constraint algorithm is , where is the regional priority weight, is the total energy of the releaser, is the remaining energy of the releaser, is the remaining usage time of the releaser, is the endurance coefficient, which is used to represent the influence degree of the current energy state on the endurance time. When the remaining energy is more, is close to 1. At this time, the energy consumption allocation considers more the ecological value weight. When the remaining energy is insufficient, tends to 0, and it is more inclined to evenly distribute the remaining energy to ensure that the releaser will not run out of power in advance. In addition is the decay constant used to represent the power consumption of the releaser, which is determined based on the attributes of the releaser.

[0032] As a further preference of this technical solution, the operating parameters include: trigger time and sinking depth. Combining the selected investigation area of the releaser with the dynamic threshold interval, the formulas for calculating the operating parameters of the releaser include: the formula based on the trigger time and the formula based on the sinking depth.

[0033] In the second aspect, to improve the above-disclosed pre-programmed timed release method for marine surveys, the present invention also proposes a pre-programmed timed releaser for marine surveys, which uses the above-disclosed pre-programmed timed release method for marine surveys and includes:

[0034] A sensor array module for real-time collecting marine physical characteristic parameters and marine ecological parameter data;

[0035] An edge computing unit, which is used to process the data collected by the sensor array module and execute the performance parameter threshold range, priority arrangement formula, adaptive adjustment algorithm, power consumption constraint algorithm and operating parameter calculation formula of the set releaser;

[0036] An adaptive control module, which is used to adjust the operating parameters of the releaser according to the dynamically adjusted performance parameter threshold range and priority weight;

[0037] A data storage unit, which is used to store the marine physical characteristic parameters, marine ecological parameter data collected by the sensor array module and the data processed by the edge computing unit;

[0038] A power management module, which is used to manage the energy supply of the releaser and can optimize the energy consumption allocation according to the power consumption constraint algorithm;

[0039] A communication module, which is used to realize the data transmission between the releaser and the remote monitoring center, upload the survey data and receive the remote control instructions.

[0040] Compared with the prior art, the beneficial effects of the present invention are:

[0041] For the pre-programmed timing releaser and release method for marine surveys, the target marine survey area is determined based on the marine physical parameters and ecological environment characteristic data of the target sea area, and then the change trend of the ecological environment characteristic data is predicted by combining time series analysis. At the same time, the adaptive adjustment algorithm and the power consumption constraint algorithm are combined to enable the performance parameters and working area of the releaser to be dynamically adjusted. Thus, it is achieved that the releaser can dynamically adjust the working area and performance parameters based on the environment in the ocean, to a certain extent ensuring the high efficiency, accuracy and energy saving of the releaser in marine surveys;

[0042] In addition, by creating a set of survey areas including priority weights, the releaser can intelligently select the survey area according to the ecological environment characteristic data of different areas during actual use, thereby improving the survey efficiency and data quality;

[0043] Moreover, by setting the adaptive adjustment algorithm and the power consumption constraint algorithm to cooperate with each other, the releaser can more accurately adjust its own performance parameters and determine the working area according to the changes in the marine environment, not only further improving the accuracy of the survey operation, but also effectively reducing the energy consumption, better ensuring the high-efficiency and energy-saving operation of the releaser in marine surveys, and giving full play to its advantageous role in the field of marine surveys. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is the step flow chart of the method disclosed in the present invention;

[0045] Figure 2 It is the first function content diagram of the releaser of the present invention;

[0046] Figure 3 This is the second functional content diagram of the releaser of the present invention;

[0047] Figure 4 This is the third functional content diagram of the releaser of the present invention;

[0048] Figure 5 This is the module unit composition diagram of the releaser of the present invention. Detailed implementation manners

[0049] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0050] Before understanding the technical solutions provided by the present invention, it should be clear that the releaser, as a device specifically applied to the marine survey scenario, during actual use, the releaser is first put into the target sea area in the ocean, and then before reaching the preset release time, the releaser will continuously maintain a standby state and monitor the marine environmental conditions in real time. When the specified time arrives, the releaser will, according to the pre-programmed set procedure, release the equipment and samples for marine survey carried by it.

[0051] Refer to Figures 2 - 4 It can be seen that the releaser proposed by the present invention has the functions of dynamically setting the performance parameter threshold range, constructing the survey area set, and trend prediction and adaptive adjustment. Among them, for dynamically setting the performance parameter threshold range, the releaser first obtains the real-time marine physical characteristic parameters of the target sea area, then analyzes the influence of the marine physical characteristic parameters on the performance of the releaser, and finally sets the performance parameter threshold range. For constructing the survey interval set, it is used to prioritize the survey areas according to the ecological environment characteristic data collected in real time, so as to construct a survey area set containing priority weights, enabling the releaser to operate on more valuable survey areas. Specifically, when the releaser is actually used, it first obtains the ecological environment characteristic data of the target sea area, then combines the performance parameter threshold range, evaluates the priority of each area, and finally constructs a survey area set containing priority weights. For the trend prediction and adaptive adjustment function of the releaser, the releaser first predicts the change trend of the ecological environment characteristic data based on time series analysis, then sets the adaptive adjustment algorithm to dynamically adjust the performance parameter threshold range, and finally embeds the power consumption constraint algorithm of the releaser, so that the releaser can optimize energy consumption and improve the overall endurance while meeting the survey requirements.

[0052] Specifically, for the release method of the releaser of the present invention, refer to Figure 1 It can be seen that a technical solution is provided: a pre-programmed timing release method for marine surveys, including: step S100 - step S600.

[0053] Step S100: Dynamically set the threshold interval of the performance parameters of the releaser according to the real-time marine physical property parameters of the target sea area.

[0054] It should be clear that step S100 is used in the present invention for

[0055] According to the physical property parameters of the target sea area, including at least two of temperature, salinity, and flow velocity, adjust the performance parameters of the releaser, such as buoyancy and stability, to ensure that the releaser can work stably in the target sea area and accurately release the carried equipment or samples when reaching the preset time. It should be added that the implementation of this step S100 depends on advanced sensor technology and data processing algorithms, which can monitor and adapt to the changes in the marine environment in real time.

[0056] Specifically, the method for setting the threshold interval of the performance parameters of the releaser in step S100 includes: step S101 - step S103.

[0057] Step S101: Construct a correlation formula of the releaser based on the temperature gradient and salinity between them.

[0058] It should be added that the correlation formula in step S101 is designed to determine the threshold interval of the performance parameters in the releaser regarding the threshold pressure data in the ocean.

[0059] Step S102: Solve the threshold interval of the performance parameters based on the co-link equation .

[0060] Step S103: Set the correlation formula as .

[0061] It should be clear that for the and in the correlation formula in step S103, they respectively represent the calibration coefficients of the corresponding temperature and salinity in the releaser, represents the compensation term for environmental noise in the releaser.

[0062] As a supplement to step S103, it should be clear that The unit of is °C / m. In actual use, measure the vertical temperature change rate by installing a CTD sensor array outside the releaser, The unit of is PSU, and during actual use, it can be obtained in real time by installing a conductivity sensor outside the release device. and The value of is obtained from the manufacturing parameters of the release device. In this application, the specific values are 0.3 and 0.2. Finally, The unit of is pa, which is the average value of the noise in the target ocean area in this application, and is specifically given a range of ±5% in this application.

[0063] In actual applications, for the calculation of the correlation formula, it is assumed that a release device is deployed in the target sea area. At this time, the release device measures the temperature gradient of a certain depth layer in this sea area as 0.15 °C / m and the salinity as 34.5 PSU. Substituting these data into the correlation formula, the calculated = 0.3×0.15 + 0.7×34.5 + 0.5 = 24.3 kpa. From this, it can be known that when the release device sinks to a water pressure fluctuation exceeding 24.3 kpa, the release device will be triggered to sample, thus effectively avoiding the phenomenon of false triggering of the release device caused by sudden changes in temperature and salinity.

[0064] As a preferred implementation, as a supplement to step S103, that is, to construct a correlation formula between the temperature gradient and the flow velocity . It should be noted that the correlation formula aims to determine the threshold of the performance data parameters in the release device regarding the suspended depth data in the ocean.

[0065] Specifically, obtain the performance parameter threshold range based on the correlation formula ;

[0066] The correlation formula is , where is the buoyancy correction coefficient, is the temperature compensation constant.

[0067] It should be noted that in this implementation, The unit of is m / s. During actual acquisition, it can be measured by an ADCP (Acoustic Doppler Current Profiler) outside the release device. The unit of is m²·s² / °C, and its value in this implementation is set between 0.05 - 0.15. The unit of is °C / m, which is used to prevent the denominator from being zero in the correlation formula, and its value is 0.01. It should be added that and The values of and in this implementation are jointly determined by the manufacturing parameters of the release device, the historical environmental data of the target sea area, and the physical characteristic parameters.

[0068] When supplementing the above - mentioned relevant formulas, it must be pointed out that in practical applications, assuming that in the target sea area, the measured surface flow velocity is 1.2 m / s and the temperature gradient is 0.08 °C / m, at this time, the correlation coefficients and take the values of 0.1 and 0.01 respectively. The result calculated according to the relevant formula is = (0.1×1.2 2 ) / (0.08 + 0.01)=1.8 m. It can be seen from this that when the release device reaches a depth of 1.8 m in this sea area, the degree of its influence by the surrounding water flow is the smallest. Therefore, the release device will maintain a suspended state at this depth, thus effectively avoiding the problems of instability or mis - triggering of the release device caused by excessive flow velocity.

[0069] As a preferred implementation, for another supplement to step S103, a combined formula of salinity and flow velocity is constructed. The combined formula aims to determine the threshold interval of performance parameters in the release device regarding the flow velocity change data in the ocean.

[0070] Among them, the threshold interval of performance parameters is obtained based on the combined formula .

[0071] The combined formula is , where is the salinity - flow velocity coupling coefficient, is the reference salinity determined based on the historical average salinity of the target sea area, is the flow velocity non - linear correction factor used to compensate the sensitivity of the release device at low flow velocities, is the minimum flow velocity threshold used to avoid the release device being interfered by zero flow velocity.

[0072] It should be noted that has the unit of Pa·s² / PSU and is calibrated through experiments (value range 0.1 - 0.5), usually takes the historical average value of the sea area, has the unit of Pa, has the unit of m / s.

[0073] What needs to be supplemented to the combined formula is that when the real - time measured salinity in the sea area is 36.2 PSU and the flow velocity is 0.8 m / s, is set to 0.3, is set to 35, is 0.5, is 0.05, and substituting them into the combined formula gives:

[0074]

[0075] = 。

[0076] Therefore, it can be known that when the pressure sensor in the releaser detects that the ambient pressure fluctuation exceeds 2.3 kPa, the releaser triggers sampling to avoid missing transient events where the salinity front overlaps with strong currents.

[0077] In addition, it should be supplemented that the acquisition of each parameter in the combined formula is through a method combining statistical analysis of historical data of the marine environment in the target sea area and laboratory simulation tests. First, collect the historical salinity and flow velocity data of the target sea area, conduct statistical analysis, and obtain the reference salinity value. Second, under laboratory conditions, simulate the response of the releaser in different salinity and flow velocity environments, and determine the value range of the salinity-flow velocity coupling coefficient and the flow velocity nonlinear correction factor through calibration experiments. Finally, according to the real-time salinity and flow velocity data in the actual marine environment and the preset minimum flow velocity threshold, substitute these parameters into the combined formula for calculation, so as to achieve precise pre-programmed timing control of the releaser.

[0078] Step S200: Based on the ecological environment characteristic data and performance parameter threshold range of the target sea area, construct a set of survey areas including priority weights.

[0079] It should be clear that in the present invention, step S200 is used to construct a priority evaluation system to guide the survey operation of the releaser in the target sea area. Through comprehensive analysis of the ecological environment characteristic data, ecological sensitive areas or potential pollution sources can be identified, and higher priorities can be assigned to these areas.

[0080] Specifically, the ecological environment characteristic data covers the biological aggregation intensity , the chemical substance concentration gradient , and the pollutant diffusion path . The priority within the set of survey areas is positively correlated with any one of the ecological environment characteristic data;

[0081] The method for constructing a set of survey areas including priority weights includes: establishing a priority arrangement formula, where the priority arrangement formula is used to output the regional priority weight 。

[0082] The priority arrangement formula is , where are the dynamic adjustment coefficients corresponding to the items in the ecological environment characteristic data respectively, is used to represent the modulus value of the chemical substance concentration gradient, is used to represent the pollutant diffusion path matching degree, and its value ranges from (0 - 1).

[0083] It should be supplemented that Biological aggregation intensity (unit: ind / m³), obtained by acquiring the acoustic reflection signal intensity of a hydrophone installed outside the releaser, Unit: mg / L / m, Calculated by the Lagrangian particle tracking model in existing computer technology, Is the dynamic weight coefficient, satisfying the setting that the sum is 1.

[0084] Specifically, for the use of the priority arrangement formula during actual operation, for example, in a sea area, when a certain area is detected = 85 dB, = 0.5 mg / L / m, = 0.8, set λ1 = 0.4 (biological priority), λ2 = 0.3, λ3 = 0.3. At this time

[0085] = , so it can be known that this sea area is marked as high priority (threshold > 30), triggering the sampling of the releaser.

[0086] Step S300: Based on time series analysis, predict the trend of changes in the ecological environment characteristic data of different survey areas in the same sea area, and set an adaptive adjustment algorithm.

[0087] It should be clear that in this application, step S300 is used to dynamically adjust the sampling frequency of the releaser according to the results of time series analysis to adapt to the real-time changes of the ecological environment characteristic data in different survey areas.

[0088] Specifically, the adaptive algorithm set based on the ecological environment characteristic data in this application is , where Is the final predicted value, Is the basic predicted value, calculated based on the average value of historical ecological environment characteristic data, The path correction amount is positively correlated with the pollutant diffusion speed.

[0089] It should be noted that in practical applications of the adaptive algorithm, it is assumed that in the target sea area, The pollutant concentration represented by rises by 20% after 24 hours, The value of is 0.9, The value of is 0.3. Based on this, it can be inferred that Is equal to , Is equal to .

[0090] Step S400: The closed-loop feedback controller on the releaser dynamically adjusts the numerical value of the performance parameter threshold interval according to the adaptive adjustment algorithm, and embeds the power consumption constraint algorithm of the releaser during the adjustment process.

[0091] It should be clear that in this application, Step S400 is used to utilize the closed-loop feedback controller to monitor the operating conditions of the releaser and the changes in the surrounding environment in real time, so as to achieve accurate regulation of the performance parameter threshold interval.

[0092] In addition, the power consumption constraint algorithm in Step S400 is specifically , where is the regional priority weight, is the total energy of the releaser, is the remaining energy of the releaser, is the remaining usage time of the releaser, is the endurance coefficient, and is used to represent the influence degree of the current energy state on the endurance time. When the remaining energy is relatively large, is close to 1. At this time, more consideration is given to the ecological value weight in energy consumption allocation. When the remaining energy is insufficient, tends to 0, and it is more inclined to evenly distribute the remaining energy to ensure that the releaser will not run out of power in advance. In addition, is the decay constant used to represent the power consumption of the releaser, which is determined based on the attributes of the releaser.

[0093] It should be noted that The unit of is hour, is and any one of the numerical values.

[0094] It should be pointed out that in practical applications, for the power consumption limit algorithm, assuming that the initial energy of the releaser in the target sea area is 1000 Wh, it must be ensured that the releaser can work continuously for 720 hours. Under this condition, the weight distributions of three different regions in the target sea area are W1 = 93, W2 = 65, and W3 = 28 respectively.

[0095] At this time, the corresponding ;

[0096] When the remaining energy is 400 Wh and the remaining time is 360 h, , at this time, the energy consumption of the releaser is redistributed, that is:

[0097] ;

[0098] After that, calculate the degradation coefficient It can be seen that during the continuous operation of the releaser, when the detection of area W3 is turned off, 153.3 Wh of energy consumption can be saved.

[0099] In addition, it should be supplemented that for the above endurance coefficient, when the high value (abundant energy): emphasis is placed on the ecological weight, allowing high energy consumption to obtain data, and the low value (insufficient energy): sacrificing part of the data quality to ensure that the device continues to operate until the end of the task. Combining the above content, it can be seen that since the value ranges between 0 and 1, a value of 0.37 indicates insufficient energy. At this time, since the releaser should prioritize ensuring the monitoring of areas W1 and W2, reduce the energy consumption input to area W3, to ensure the smooth completion of the overall task. At the same time, according to the real-time remaining energy and time situation, dynamically adjust the energy consumption distribution of each area to ensure obtaining as much effective data as possible under limited energy.

[0100] Step S500: The releaser selects the survey area that meets the working conditions of the releaser from the set of survey areas according to the change of the performance parameter threshold range.

[0101] It should be clear that step S500 in the present invention is used for the real-time adjustment based on the performance parameter threshold range to ensure that the releaser can work under the optimal environmental conditions, thereby improving the accuracy and reliability of data collection.

[0102] Step S600: Combine the selected survey area of the releaser with the dynamic threshold range to calculate the operating parameters of the releaser, so that the survey operation of the releaser can be adjusted according to the real-time changes of the target ocean.

[0103] It should be clear that in the present invention, the operating parameters of the releaser include: trigger time and sinking depth. The formulas for calculating the operating parameters of the releaser by combining the selected survey area of the releaser with the dynamic threshold range include: the calculation formula based on the trigger time and the calculation formula based on the sinking depth.

[0104] Specifically, the calculation formula based on the trigger time is ;

[0105] The calculation formula based on the sinking depth is .

[0106] It should be supplemented that for the calculation formula based on the trigger time, where is the basic trigger interval of the releaser, is the priority weight of the selected survey area of the releaser, is the performance parameter threshold range, is the average noise value that the releaser can release.

[0107] As a preferred embodiment, when the calculation formula based on the trigger time is actually put into use, the = 85, and the current = 0.8 KPa, is 0.1 kpa;

[0108] At this time ;

[0109] Therefore , so the trigger time of the operating parameters of the releaser within this embodiment is 0.01 minutes.

[0110] As a preferred embodiment, when the calculation formula based on the sinking depth is actually used, when at this time, = , = At this time = 0.6 + 0.0022 = 0.6022 m. Therefore, it can be known that the trigger depth of the operating parameters of the releaser within this embodiment is 0.6022 m.

[0111] As a preferred implementation method, referring to Figure 5 , it can be known that the present invention also proposes a pre-programmed timing releaser for marine surveys. It should be added that a pre-programmed timing releaser for marine surveys uses the above-disclosed pre-programmed timing release method for marine surveys and includes:

[0112] A sensor array module for real-time collection of marine physical characteristic parameters and marine ecological parameter data.

[0113] An edge computing unit for processing the data collected by the sensor array module and executing the performance parameter threshold interval, priority arrangement formula, adaptive adjustment algorithm, power consumption constraint algorithm, and operating parameter calculation formula of the set releaser.

[0114] An adaptive control module for adjusting the operating parameters of the releaser according to the dynamically adjusted performance parameter threshold interval and priority weight.

[0115] A data storage unit for storing the marine physical characteristic parameters, marine ecological parameter data collected by the sensor array module, and the data processed by the edge computing unit.

[0116] A power management module for managing the energy supply of the releaser and being able to optimize the energy consumption allocation according to the power consumption constraint algorithm.

[0117] A communication module for realizing data transmission between the releaser and the remote monitoring center, uploading survey data, and receiving remote control instructions.

[0118] It should be noted that, in this embodiment, the sensor array module is installed outside, at the bottom, and on the flanks of the housing of the releaser, covering a temperature sensor, a salinity sensor, a flow velocity sensor, and a pressure sensor, and can monitor the marine environmental parameters in real time in all directions. The edge computing unit is installed in the core area inside the waterproof and sealed cabin of the releaser, the adaptive control module is installed in the core control cabin and is adjacent to the edge computing unit, the data storage unit is installed in the storage cabin of the releaser, and the power management module and the communication module are installed in the power cabin and the communication cabin respectively to ensure the normal operation of the functions of each module without interference with each other.

[0119] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. A pre-programmed timed release method for marine surveys, characterized in that, Including: Dynamically set the threshold range of the performance parameters of the release device according to the real-time marine physical characteristic parameters of the target sea area; Based on the ecological environment characteristic data of the target sea area and the threshold range of performance parameters, construct a set of survey areas including priority weights; Based on time series analysis, predict the change trend of the ecological environment characteristic data of different survey areas in the same sea area, and set an adaptive adjustment algorithm; The closed-loop feedback controller on the release device dynamically adjusts the value of the threshold range of performance parameters according to the adaptive adjustment algorithm, and embeds the power consumption constraint algorithm of the release device during the adjustment process; The release device selects the survey area that meets the working conditions of the release device from the set of survey areas according to the change of the threshold range of performance parameters; Combined with the selected survey area of the release device and the dynamic threshold range, calculate the operating parameters of the release device, so that the survey operation of the release device can be adjusted according to the real-time changes of the target ocean.

2. The pre-programmed timed release method for marine surveys according to claim 1, characterized in that: The physical characteristic parameters cover at least two of temperature, salinity, and flow velocity. The method for dynamically setting the threshold range of the performance parameters of the release device according to the real-time marine physical characteristic parameters includes: Construct a releaser based on the temperature gradient and salinity between the correlation formula, the correlation formula is designed to determine the threshold interval of the performance parameters in the releaser regarding the threshold pressure data in the ocean; Solving the Threshold Interval of Performance Parameters Based on the Co - association Equation ; The correlation formula is , where and represent the calibration coefficients corresponding to the temperature and salinity in the releaser respectively, represents the compensation term for environmental noise in the releaser.

3. A pre-programmed timed release method for marine surveys according to claim 2, characterized in that: The method for dynamically setting the threshold range of the performance parameters of the release device according to the real-time marine physical characteristic parameters includes: Construct a temperature gradient and flow rate The correlation formula aims to determine the threshold of performance data parameters in the releaser with respect to the suspended depth data in the ocean; Obtain the threshold interval of performance parameters based on the correlation formula ; The associated formula is , where is the buoyancy correction coefficient, is the temperature compensation constant.

4. A pre-programmed timed release method for marine surveys according to claim 2, characterized in that: The method for dynamically setting the threshold range of the performance parameters of the release device according to the real-time marine physical characteristic parameters includes; Construct salinity and flow velocity of the combined formula, the combined formula is designed to determine the threshold interval of performance parameters in the release device regarding the flow velocity change data in the ocean; Obtain the performance parameter threshold interval based on the combined formula ; The combined formula is , where is the salinity-flow velocity coupling coefficient, is the reference salinity determined based on the historical average salinity of the target sea area, is the flow velocity non-linear correction factor, which is used to compensate the sensitivity of the releaser at low flow velocities, is the minimum flow velocity threshold, which is used to avoid the releaser being interfered by zero flow velocity.

5. A pre-programmed timed release method for marine surveys according to claim 2, characterized in that: The ecological environment characteristic data covers the intensity of biological aggregation , the concentration gradient of chemical substances and the diffusion path of pollutants , and the priority within the set area of the investigation area is positively correlated with any one of the ecological environment characteristic data; The method for constructing a set of survey areas containing priority weights includes: establishing a priority arrangement formula, where the priority arrangement formula is used to output the area priority weights ; The priority arrangement formula is , where are the dynamic adjustment coefficients corresponding to the items in the ecological environment characteristic data respectively, is used to represent the modulus of the chemical substance concentration gradient, is used to represent the matching degree of the pollutant diffusion path, and the value ranges from (0 - 1).

6. A pre-programmed timed release method for marine surveys according to claim 5, characterized in that: The adaptive adjustment algorithm is used to obtain a predicted value. The adaptive algorithm set based on the ecological environment characteristic data is , where is the final predicted value, is the basic predicted value, calculated based on the average value of historical ecological environment characteristic data, is the path correction amount.

7. A pre-programmed timed release method for marine surveys according to claim 5, characterized in that: The formula of the power consumption constraint algorithm is , where is the regional priority weight, is the total energy of the releaser, is the remaining energy of the releaser, is the remaining usage time of the releaser, is the endurance coefficient, which is used to represent the influence degree of the current energy state on the endurance time. When the remaining energy is relatively large, is close to 1. At this time, more consideration is given to the ecological value weight in energy consumption allocation. When the remaining energy is insufficient, tends to 0, and it is more inclined to evenly distribute the remaining energy to ensure that the releaser will not run out of power in advance. In addition, is the decay constant used to represent the power consumption of the releaser, which is determined based on the attributes of the releaser.

8. A pre-programmed timed release method for marine surveys according to claim 1, characterized in that: The operating parameters include: trigger time and sinking depth. The formula for calculating the operating parameters of the release device by combining the selected survey area of the release device and the dynamic threshold range includes: the calculation formula based on the trigger time and the calculation formula based on the sinking depth.

9. A pre-programmed timed release device for marine surveys, which uses a pre-programmed timed release method for marine surveys described in any one of claims 1-8, characterized in that, Including: A sensor array module for real-time collection of marine physical characteristic parameters and marine ecological parameter data; An edge computing unit for processing the data collected by the sensor array module and executing the threshold range of the performance parameters of the set release device, the priority arrangement formula, the adaptive adjustment algorithm, the power consumption constraint algorithm, and the operating parameter calculation formula; An adaptive control module for adjusting the operating parameters of the release device according to the dynamically adjusted threshold range of performance parameters and the priority weight; A data storage unit for storing the marine physical characteristic parameters, marine ecological parameter data collected by the sensor array module, and the data processed by the edge computing unit; A power management module for managing the energy supply of the release device and being able to optimize the energy consumption allocation according to the power consumption constraint algorithm; A communication module for realizing data transmission between the release device and the remote monitoring center, uploading survey data and receiving remote control instructions.

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