A method, apparatus, equipment, medium, and product for determining the effective salinity threshold at marine stations.

Abstract

This application discloses a method, apparatus, equipment, medium, and product for determining the effective salinity threshold at marine stations, relating to the field of marine observation. The method includes: acquiring salinity measurement data from multiple years at the marine station; calculating the daily positional mean and daily standard deviation based on the salinity measurement data from multiple years at the marine station; calculating the annual average minimum, annual average maximum, and annual standard deviation based on the daily positional mean and daily standard deviation; determining the effective salinity variation range for each year based on the annual average minimum, annual average maximum, and annual standard deviation; determining the effective salinity band threshold based on the effective salinity variation range for each year; and then monitoring the status of the marine station's observation equipment based on the effective salinity band threshold. This application improves the accuracy of the effective salinity band threshold at marine stations, enabling timely detection of salinity measurement data deviations caused by equipment malfunctions or anomalies, and ensuring the reliability and validity of the observation data.

Description

Technical Field

[0001] This application relates to the field of marine observation, and in particular to a method, apparatus, equipment, medium and product for determining the effective salinity threshold of a marine station. Background Technology

[0002] Ocean observation is the cornerstone of human understanding, utilization, and protection of the ocean, providing indispensable key data support for marine disaster prevention and mitigation, climate system research, marine resource development, and ecological protection. Seawater salinity, as a core hydrological parameter in ocean observation, is one of the three fundamental elements alongside temperature and density, and a key variable for analyzing ocean systems and revealing ocean dynamic processes and material cycles. In fixed ocean observation stations, thermo-salinity wells are the core facilities for operational observation of seawater surface salinity using the salinity meter method (conductivity method). As dedicated observation devices fixed in nearshore waters (such as estuaries, bays, and ports), they enable fixed-point, long-term, and continuous salinity monitoring, with significant advantages, particularly in "temporal continuity" and "nearshore accuracy."

[0003] However, temperature, salinity and thermal well observation still faces many practical challenges: conductivity probes are prone to biological adhesion and performance drift; sediment easily accumulates at the bottom of the well and the water inlet holes on the well wall are easily blocked; more commonly, biological adhesion causes abnormal buoyancy of the float or cable entanglement that hinders the movement of the float, ultimately leading to the failure of the temperature, salinity and thermal float to suspend, which is also one of the most frequent equipment problems in current marine observation.

[0004] For the large amount of long-term data generated by ocean observations, strengthening quality control and in-depth analysis of anomalies together provide dual support for effective data utilization and stable equipment operation. Specifically, regarding the issue of suspended temperature-salinity (TCS) floats, this directly causes the sensor to detach from the target water body and come into contact with air or the upper low-salinity layer. This manifests in the observation data as a sudden and sharp drop in salinity values, which continuously deviates from the normal fluctuation range of the sea area. Therefore, it is urgent to accurately determine the effective range threshold of the salinity band at the observation station to monitor the operational status of the observation equipment. Summary of the Invention

[0005] The purpose of this application is to provide a method, apparatus, equipment, medium, and product for determining the effective salinity threshold of marine stations, which can improve the accuracy of the effective range threshold of salinity bands at marine stations, thereby enabling timely detection of salinity measurement data deviations caused by equipment malfunctions or anomalies, and ensuring the reliability and effectiveness of observation data.

[0006] To achieve the above objectives, this application provides the following solution:

[0007] In a first aspect, this application provides a method for determining the effective salinity threshold of a marine station, including:

[0008] Acquire salinity measurement data from marine stations over multiple years;

[0009] Based on salinity measurement data from marine stations over multiple years, the daily positional mean and daily standard deviation were calculated.

[0010] Calculate the annual average minimum, annual average maximum, and annual standard deviation based on the daily position mean and the daily standard deviation;

[0011] Based on the annual average minimum, the annual average maximum, and the annual standard deviation, the effective range of salinity variation for each year at the marine station is determined.

[0012] Based on the effective salinity variation range of the marine station in each year, the effective range threshold of the salinity band for the marine station is determined, and then the status of the observation equipment at the marine station is monitored based on the effective range threshold of the salinity band.

[0013] Secondly, this application provides a device for determining the effective salinity threshold of a marine station, comprising:

[0014] The data acquisition module is used to acquire salinity measurement data from marine stations over multiple years;

[0015] The diurnal scale calculation module is used to calculate the daily positional mean and daily standard deviation based on salinity measurement data from marine stations over multiple years.

[0016] The annual scale calculation module is used to calculate the annual average minimum, annual average maximum and annual standard deviation based on the daily position mean and the daily standard deviation;

[0017] The annual scale range determination module is used to determine the effective range of salinity variation for each year of the marine station based on the annual average minimum value, the annual average maximum value, and the annual standard deviation.

[0018] The effective range determination module is used to determine the effective range threshold of the salinity band of the marine station based on the effective salinity variation range of the marine station in each year, and then monitor the status of the observation equipment of the marine station based on the effective range threshold of the salinity band.

[0019] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for determining the effective threshold of salinity at marine stations.

[0020] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for determining the effective salinity threshold of a marine station.

[0021] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for determining the effective salinity threshold of a marine site.

[0022] According to the specific embodiments provided in this application, this application achieves the following technical effects: By fully utilizing salinity measurement data from multiple years, and combining daily positional mean, daily standard deviation, and multi-dimensional statistical calculations of annual average minimum, annual average maximum, and annual standard deviation, the temporal variation pattern of salinity data is comprehensively considered. This effectively avoids the random errors of data from a single time point, making the determined effective salinity variation range and effective band range thresholds more scientific and accurate. Based on this reasonable threshold, the operating status of marine station observation equipment can be monitored in real time, enabling timely detection of salinity measurement data deviations caused by equipment malfunctions or anomalies, ensuring the reliability and effectiveness of the observation data. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is an application environment diagram of a method for determining the effective salinity threshold of a marine station according to an embodiment of this application.

[0025] Figure 2 This is a flowchart illustrating a method for determining the effective salinity threshold of a marine station, provided as an embodiment of this application.

[0026] Figure 3 This is a schematic diagram of the functional modules of a device for determining the effective salinity threshold of a marine station, provided in an embodiment of this application.

[0027] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0028] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] The purpose of this application is to construct a normal salinity fluctuation threshold range covering dimensions such as tidal cycle and seasonal variation through statistical modeling of long-term historical observation data, so as to accurately monitor the operating status of observation equipment.

[0030] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, this application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0031] The method for determining the effective salinity threshold of marine stations provided in this application can be applied to, for example... Figure 1 In the application environment shown, terminal 101 communicates with server 102 via a network. A data storage system can store the data that server 102 needs to process. The data storage system can be set up independently, integrated into server 102, or placed in the cloud or on another server. Terminal 101 can send salinity measurement data from multiple years at a marine station to server 102. Server 102 determines the effective range threshold of the salinity band for the marine station based on the received salinity measurement data. Server 102 can then feed back the obtained effective range threshold of the salinity band for the marine station to terminal 101.

[0032] The terminal 101 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle devices. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server 102 can be implemented using a standalone server or a server cluster composed of multiple servers, or it can be a cloud server.

[0033] In one exemplary embodiment, such as Figure 2 As shown, a method for determining the effective salinity threshold at a marine station is provided. This method is executed by a computer device, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is applied to... Figure 1 Taking server 102 as an example, the explanation includes the following steps 201 to 205.

[0034] Step 201: Obtain salinity measurement data from multiple years at marine stations. There are multiple marine stations involved.

[0035] Further processing was performed on the salinity measurement data from multiple years at the marine stations to remove missing and invalid data. Specifically, the salinity measurement data from multiple years were preprocessed to remove markers such as "missing measurement" and "invalid measurement," and data exceeding the global salinity threshold range (0.7~41) were removed.

[0036] Step 202: Calculate the daily positional mean and daily standard deviation based on salinity measurement data from multiple years at the marine station. This application uses the mode of the salinity measurement data as the daily positional mean.

[0037] Specifically, the daily position mean and daily standard deviation are calculated using the following formulas:

[0038] ;

[0039] ;

[0040] in, The average position over the day. This is a daily dataset, including all valid salinity measurements taken within a single day that have been filtered through a natural salinity threshold. Salinity measurement value s exist The number of times it appears in The daily standard deviation, n The number of valid observations per day. For the first i The salinity measurement value of the second observation. This represents the average salinity over a day. .

[0041] The above processing yields a daily-scale dataset. : ;in, For the date.

[0042] Step 203: Calculate the annual average minimum, annual average maximum, and annual standard deviation based on the daily position mean and the daily standard deviation.

[0043] In a specific application example, for any given year, the minimum value of the daily position mean in that year is taken as the annual average minimum value, the maximum value of the daily position mean in that year is taken as the annual average maximum value, and the mode of the daily standard deviation in that year is taken as the annual standard deviation.

[0044] Specifically, from Extract all data from a given year The annual daily average value sequence is obtained. .in, k The number of valid days in that year. k ≤365, For the first time in that year k The average daily position over the days. Then the minimum annual average value min_annual = min(M annual ), the annual average maximum value is max_annual = max(M annual ).

[0045] from Extract all data from a given year The annual daily standard deviation series was obtained. .in, For the first time in that year k The daily standard deviation. This application uses the mode as the annual standard deviation. This reflects the salinity fluctuation levels for most days of the year. .

[0046] Step 204: Determine the effective range of salinity variation for each year of the marine station based on the annual average minimum, the annual average maximum, and the annual standard deviation.

[0047] This application, based on the 3σ principle (99.7% of the data in a normal distribution fall within the mean ± 3σ range), obtains the effective range of salinity variation for each year. The lower limit of the effective range of salinity variation for each year at the marine station is: annual average minimum - 3σ. Annual standard deviation. The upper limit of the effective range of salinity variation for each year at the aforementioned marine stations is: annual average maximum value + 3. Annual standard deviation.

[0048] Step 205: Based on the effective salinity variation range of the marine station in each year, determine the effective range threshold of the salinity band of the marine station, and then monitor the status of the observation equipment of the marine station based on the effective range threshold of the salinity band.

[0049] Specifically, the minimum lower limit and the maximum upper limit of the effective salinity variation range of the marine station in all years are used as the effective range threshold of the salinity band of the marine station.

[0050] For the vast amounts of long-term marine observation data, this application emphasizes that enhanced quality control is a core prerequisite for their effective utilization. By systematically removing outlier data to "distinguish truth from falsehood," the reliability and subsequent application value of the data can be guaranteed. Furthermore, it can deeply reveal outlier data, which not only serve as warning signals of data quality but also as the core basis for timely identification and tracing of equipment malfunctions.

[0051] After determining the effective range threshold of the salinity band, the salinity data collected in real time by the observation equipment at the marine station is dynamically compared with the effective range threshold of the salinity band. This allows for the accurate identification of abnormal data caused by the float being suspended, and also enables the efficient removal of such data from the effective dataset. This provides high-quality data support for subsequent research and applications such as ocean circulation analysis and nearshore ecological monitoring.

[0052] Based on the same inventive concept, this application also provides an apparatus for implementing the method described above. The solution provided by this apparatus is similar to the solution described in the above method; therefore, specific limitations in one or more apparatus embodiments provided below can be found in the limitations of the method described above, and will not be repeated here.

[0053] In one exemplary embodiment, such as Figure 3 As shown, a device for determining the effective salinity threshold of a marine site is provided, comprising the following functional modules.

[0054] The data acquisition module 301 is used to acquire salinity measurement data from marine stations over multiple years.

[0055] The diurnal scale calculation module 302 is used to calculate the daily position mean and daily standard deviation based on salinity measurement data from multiple years at marine stations.

[0056] The annual scale calculation module 303 is used to calculate the annual average minimum, annual average maximum and annual standard deviation based on the daily position mean and the daily standard deviation.

[0057] The annual scale range determination module 304 is used to determine the effective range of salinity variation of the marine station for each year based on the annual average minimum value, the annual average maximum value and the annual standard deviation.

[0058] The effective range determination module 305 is used to determine the effective range threshold of the salinity band of the marine station based on the effective salinity variation range of the marine station in each year, and then monitor the status of the observation equipment of the marine station based on the effective range threshold of the salinity band.

[0059] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 4As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores salinity measurement data from multiple years at the marine station. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for determining the effective salinity threshold at a marine station.

[0060] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0061] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0062] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0063] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0064] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0065] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, etc., and are not limited to these.

[0066] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0067] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for determining the effective salinity threshold at a marine station, characterized in that, The method includes: Acquire salinity measurement data from marine stations over multiple years; Based on salinity measurement data from marine stations over multiple years, the daily positional mean and daily standard deviation were calculated. The daily positional mean was calculated using the following formula: ;in, The average position over the day. This is a daily dataset, including all valid salinity measurements taken within a single day that have been filtered through a natural salinity threshold. Salinity measurement value s exist The number of times it appears in; Based on the daily position mean and the daily standard deviation, calculate the annual average minimum, annual average maximum and annual standard deviation, including: for any year, take the minimum of the daily position mean in the year as the annual average minimum, take the maximum of the daily position mean in the year as the annual average maximum, and take the mode of the daily standard deviation in the year as the annual standard deviation. Based on the annual average minimum, the annual average maximum, and the annual standard deviation, the effective salinity variation range for each year at the marine station is determined; the lower limit of the effective salinity variation range for each year at the marine station is: annual average minimum - 3. Annual standard deviation; the upper limit of the effective range of salinity variation for each year at the aforementioned marine stations is: annual average maximum value + 3 Annual standard deviation; Based on the effective salinity variation range of the marine station in each year, the effective range threshold of the salinity band for the marine station is determined, and then the status of the observation equipment at the marine station is monitored based on the effective range threshold of the salinity band.

2. The method for determining the effective salinity threshold of a marine station according to claim 1, characterized in that, Before calculating the daily positional mean and daily standard deviation based on salinity measurement data from multiple years at marine stations, the method further includes: Missing and invalid data were removed from salinity measurement data from marine stations over multiple years.

3. The method for determining the effective salinity threshold of a marine station according to claim 1, characterized in that, The daily standard deviation is calculated using the following formula: ； in, The daily standard deviation, n The number of valid observations per day. For the first i The salinity measurement value of the second observation. This represents the average salinity over a day. .

4. The method for determining the effective salinity threshold of a marine station according to claim 1, characterized in that, Based on the effective salinity variation range of the marine station for each year, the effective range threshold of the salinity band for the marine station is determined, including: The minimum lower limit and maximum upper limit of the effective salinity variation range for the marine station in all years are used as the effective range threshold of the salinity band for the marine station.

5. A device for determining the effective salinity threshold at a marine station, characterized in that, The apparatus performs the method for determining the effective salinity threshold of a marine station according to any one of claims 1-4, and the apparatus comprises: The data acquisition module is used to acquire salinity measurement data from marine stations over multiple years; The diurnal scale calculation module is used to calculate the daily positional mean and daily standard deviation based on salinity measurement data from marine stations over multiple years. The annual scale calculation module is used to calculate the annual average minimum, annual average maximum and annual standard deviation based on the daily position mean and the daily standard deviation; The annual scale range determination module is used to determine the effective range of salinity variation for each year of the marine station based on the annual average minimum value, the annual average maximum value, and the annual standard deviation. The effective range determination module is used to determine the effective range threshold of the salinity band of the marine station based on the effective salinity variation range of the marine station in each year, and then monitor the status of the observation equipment of the marine station based on the effective range threshold of the salinity band.

6. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method for determining the effective salinity threshold of a marine station according to any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for determining the effective salinity threshold of a marine station as described in any one of claims 1-4.

8. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the method for determining the effective salinity threshold of a marine station as described in any one of claims 1-4.

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