Marine environment data collection method and system

Abstract

The present invention discloses a method and system for collecting marine environment data, which relates to the field of marine monitoring technology. First, a plurality of environment collection devices are arranged in a target marine area according to an initial spatial arrangement structure; the marine environment data collected by each environment collection device is obtained, and the collected marine environment data is displayed; according to the marine environment data, the spatial arrangement structure of each current environment collection device is optimized by population iteration according to a preset time step, and the current optimal spatial arrangement structure of each environment collection device is obtained; each environment collection device moves according to the current optimal spatial arrangement structure to carry out a new round of data collection. The present invention can cope with the real-time changing marine ecological environment, reduce the impact of different ocean depths on marine environment monitoring, and improve the accuracy and comprehensiveness of marine environment monitoring data.

Description

Technical Field

[0001] The present invention relates to the field of ocean monitoring technology, and more particularly to a method and system for collecting ocean environment data. Background Art

[0002] Marine environmental monitoring is the foundation of all marine protection work, and its fundamental task is to understand the status of marine environmental pollution and its long-term trend. Marine environmental monitoring is very beneficial to improving the accuracy of marine weather forecasts and to safe and economical navigation.

[0003] The marine environment is a complex system with multiple levels and multiple physical factors. The deep stratified physical environment provides habitats for different types of marine life. The richness and diversity of marine ecology is largely determined by the differences in the physical environment at different depths. The physical environment such as water temperature, salinity, and current at different depths in the ocean is different, and it is also easily affected by different biological environments such as light and biological activities.

[0004] The marine environment shows great environmental differences at different depths, and these differences are not fixed, but will change with changes in the marine ecology. Therefore, when conducting marine environmental monitoring, only using a fixed monitoring arrangement is susceptible to environmental changes in the ocean, making it impossible to conduct comprehensive and accurate real-time monitoring of the marine environment.

[0005] Therefore, how to cope with the real-time changes in the marine ecological environment, reduce the impact of different ocean depths on marine environmental monitoring, and improve the accuracy and comprehensiveness of monitoring data are issues that technical personnel in this field urgently need to solve. Summary of the invention

[0006] In view of this, the present invention provides a method and system for collecting marine environment data.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A method for collecting marine environment data comprises the following steps:

[0009] Step 1: Obtain the monitoring task of the target ocean area and the preset initial spatial arrangement structure of the environmental collection device;

[0010] Step 2: Arrange a plurality of environment collection devices in the target ocean area according to the initial spatial arrangement structure;

[0011] Step 3: Obtain the marine environment data collected by each environment collection device, and display the collected marine environment data;

[0012] Step 4: According to the marine environment data and a preset time step, the spatial arrangement structure of each current environment collection device is optimized by population iteration to obtain the current optimal spatial arrangement structure of each environment collection device;

[0013] Step 5: Each environment collection device moves according to the current optimal spatial arrangement structure, and returns to step 3.

[0014] Optionally, the monitoring task of the target ocean area includes monitoring parameters, monitoring time, and monitoring frequency.

[0015] Optionally, the initial spatial arrangement structure is a grid-type spatial arrangement structure.

[0016] Optionally, in step 3, the collected ocean environment data includes salinity, flow velocity, turbidity, sound pressure, and vibration velocity.

[0017] Optionally, in step 4, the specific method for optimizing the spatial arrangement structure of each current environment collection device by means of population iteration is:

[0018] Step 4.1, obtaining the initial position of each environment collection device;

[0019] Step 4.2, expanding in a vertical direction based on the initial position, and generating a population consisting of a plurality of individuals;

[0020] Step 4.3, calculating the average fitness of each individual in the population according to the marine environment data, and determining the primary selected individuals according to the average fitness;

[0021] Step 4.4, sequentially performing mutation operation, crossover operation and selection operation on the primary selected individuals to update and iterate the population and form a new generation population;

[0022] Step 4.5, iteratively update the population for multiple times, and when the number of iterations reaches a preset number, select the best individual in the population as the current optimal spatial arrangement structure.

[0023] Optionally, in step 4.2, the initial position is expanded in the vertical direction according to the following formula:

[0024] y i =y i *+step ij ;

[0025] Among them, y i * represents the y-axis coordinate of the initial position of the environment collection device numbered i, y i Indicates the y-axis coordinate of the environment collection device numbered i after vertical expansion; the x-axis and z-axis coordinates remain unchanged; stepij It indicates that the environment collection device numbered i moves a distance j units in the vertical direction relative to the initial position.

[0026] Optionally, in step 4.3, the method for calculating the average fitness of individuals in the population is:

[0027] Step 4.3.1: Construct a virtual noise field model for each individual:

[0028] Step 4.3.2, extracting the noise field change intensity characteristics of each environment collection device in the virtual noise field model in the vertical direction; performing fitness matching processing on the noise field change intensity characteristics to obtain the fitness parameters of each environment collection device;

[0029] Step 4.3.3, calculate the average of the fitness parameters of each environmental collection device in each individual of the population.

[0030] Optionally, in step 4.3, a preset number of preliminary individuals are selected using a roulette algorithm based on the average fitness.

[0031] A marine environment data acquisition system, which uses any of the above methods to collect marine environment data, including an environment acquisition device, a long-distance transmission device, a control processing platform, and a display device connected in sequence;

[0032] The environment collection device is used to receive control instructions from the control processing platform to collect mobile and marine environment data;

[0033] The long-distance transmission device is used to realize data communication between the environment acquisition device and the control processing platform;

[0034] The control processing platform is used to issue control instructions and receive collected marine environment data;

[0035] The display device is used to visualize the marine environment data.

[0036] It can be seen from the above technical solutions that the present invention provides a method and system for collecting marine environment data, which has the following beneficial effects compared with the prior art:

[0037] The present invention uses a method of iterative optimization of individual populations, based on the initial spatial arrangement structure, combined with the collected marine environment monitoring data, to obtain the current optimal spatial arrangement structure of each environment collection device, and move it to re-collect data. Furthermore, the present invention also readjusts the spatial arrangement structure at each preset time step. Through the above method, the present invention can cope with the real-time changing marine ecological environment, reduce the impact of different ocean depths on marine environment monitoring, and improve the accuracy and comprehensiveness of marine environment monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0039] Figure 1 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] The embodiment of the present invention discloses a method for collecting marine environment data. Figure 1 , including the following steps:

[0042] Step 1, obtain the monitoring task of the target ocean area, and the preset initial spatial arrangement structure of the environment collection device. The monitoring task of the target ocean area at least includes monitoring parameters, monitoring time, and monitoring frequency. The monitoring parameters refer to the types of ocean environment data that need to be collected, including salinity, flow rate, turbidity, sound pressure, vibration speed, etc. The monitoring time refers to the length of time for monitoring, and the monitoring frequency refers to the frequency / duration of the above data. In this embodiment, the initial spatial arrangement structure preferably uses a grid-type spatial arrangement structure.

[0043] Step 2: Arrange a plurality of environment collection devices in the target ocean area according to the initial spatial arrangement structure.

[0044] Step 3: Obtain the marine environment data collected by each environment collection device and display the collected marine environment data.

[0045] Step 4: According to the ocean environment data and a preset time step, the spatial arrangement structure of each current environment collection device is optimized by population iteration to obtain the current optimal spatial arrangement structure of each environment collection device.

[0046] Step 4.1, obtaining the initial position of each environment collection device, wherein the initial position refers to the current position of each environment collection device;

[0047] Step 4.2: Expand vertically based on the initial position and generate a population consisting of multiple individuals.

[0048] The initial position is expanded vertically according to the following formula:

[0049] y i =y i *+step ij ;

[0050] Among them, y i * represents the y-axis coordinate of the initial position of the environment collection device numbered i, y i Indicates the y-axis coordinate of the environment collection device numbered i after vertical expansion; the x-axis and z-axis coordinates remain unchanged; step ij It means that the environment collection device numbered i moves j units of distance in the vertical direction relative to the initial position; 0≤i≤n, n is the number of environment collection devices; 0≤j≤m, m is the maximum unit distance of movement.

[0051] Step 4.3: Calculate the average fitness of each individual in the population based on the marine environment data, and determine the preliminary selected individuals based on the average fitness.

[0052] Among them, the method for calculating the average fitness of individuals in the population is:

[0053] Step 4.3.1. Calculate the virtual noise field model for each individual:

[0054] According to the current spatial arrangement structure of the environment acquisition device, the marine environment data is spatially correlated to obtain virtual noise field data; the virtual noise field data is used to represent the non-uniformity and spatial correlation between the various environment acquisition devices; the virtual noise field data is input into a vertical correlation model to extract noise field difference information between the various environment acquisition devices; the noise field difference information is used to represent the change trend of the virtual noise field data caused by the difference in depth distribution in the vertical direction between the various environment acquisition devices; according to the noise field difference information and the marine environment data, the virtual noise field model is simulated and constructed;

[0055] Step 4.3.2, extracting the noise field change intensity characteristics of each environment collection device in the virtual noise field model in the vertical direction; the noise field change intensity characteristics include temperature gradient characteristics, salinity change characteristics, flow velocity change characteristics, sound pressure change characteristics, vibration velocity change characteristics, etc.; performing fitness matching processing on the noise field change intensity characteristics to obtain the fitness parameters of each environment collection device; wherein the fitness parameters are used to indicate the matching degree between the location of the environment collection device and the noise field change intensity characteristics;

[0056] Step 4.3.3, calculate the average of the fitness parameters of each environmental collection device in each individual of the population.

[0057] Afterwards, a preset number of preliminary individuals are selected using the roulette algorithm based on the average fitness of the individuals in the population.

[0058] Step 4.4, sequentially performing mutation operation, crossover operation and selection operation on the primary selected individuals to update and iterate the population and form a new generation population;

[0059] Step 4.5, iteratively update the population for multiple times, and when the number of iterations reaches a preset number, select the best individual in the population as the current optimal spatial arrangement structure.

[0060] Step 5: Each environment collection device moves according to the current optimal spatial arrangement structure, and returns to step 3.

[0061] Another embodiment of the present invention further provides a marine environment data acquisition system, which uses the above method to collect marine environment data, including an environment acquisition device, a long-distance transmission device, a control processing platform, and a display device connected in sequence.

[0062] The environment collection device is used to receive control instructions from the control processing platform to collect movement and marine environment data. In the specific implementation process, the environment collection device is an integrated device. In addition to the basic environment collection sensor, it is also equipped with a positioning device, a power supply device, a power device, a microcontroller, etc. to ensure the safe and stable operation of the environment collection device. The microcontroller receives instructions from the control processing platform and controls the movement of the environment collection device through the power device.

[0063] The long-distance transmission device is used to realize data communication between the environment collection device and the control processing platform, and at least one of GPS, Beidou and the like can be selected.

[0064] The control processing platform is used to issue control instructions and receive collected marine environment data.

[0065] The display device is used to visualize the marine environment data.

[0066] As for the system device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0067] The workflow of the technical solution of the present invention is:

[0068] First, the control processing platform issues monitoring tasks and the initial spatial arrangement structure of the environment collection device to the target ocean area to be monitored; the environment collection device installs the initial spatial arrangement structure to arrange the position, and collects data according to the monitoring task; the long-distance transmission device transmits the collected ocean environment data to the control processing platform, and displays it through the display device. At the same time, the control processing platform processes the received ocean environment data to obtain the current optimal spatial arrangement structure of the environment collection device, and issues a displacement instruction to the environment collection device in the target ocean area. The environment collection device receives the displacement instruction and moves, collects the real-time ocean environment data of the position after the movement, and transmits it to the control processing platform for analysis and display. After the preset time step is established, the control processing platform performs a new round of data processing on the real-time received ocean environment data to obtain the current optimal spatial arrangement structure of the environment collection device. The above steps are repeated to reduce the environmental impact of the environment collection device when collecting ocean environment data, and improve its adaptability to the real-time changing ocean environment.

[0069] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0070] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for collecting marine environment data, characterized in that: The following steps are involved: Step 1: Obtain the monitoring task of the target ocean area and the preset initial spatial arrangement structure of the environmental collection device; Step 2: Arrange a plurality of environment collection devices in the target ocean area according to the initial spatial arrangement structure; Step 3: Obtain the marine environment data collected by each environment collection device, and display the collected marine environment data; Step 4: According to the marine environment data and the preset time step, the spatial arrangement structure of each current environment collection device is optimized by population iteration to obtain the current optimal spatial arrangement structure of each environment collection device: Step 4.1, obtaining the initial position of each environment collection device; Step 4.2: Expand vertically based on the initial position and generate a population consisting of multiple individuals; expand vertically according to the following formula: and i =and i *+step ij ; Among them, y i * represents the y-axis coordinate of the initial position of the environment collection device numbered i, y i Indicates the y-axis coordinate of the environment collection device numbered i after vertical expansion; the x-axis and z-axis coordinates remain unchanged; step ij Indicates that the environment collection device numbered i moves j units in the vertical direction relative to the initial position; Step 4.3, calculating the average fitness of each individual in the population according to the marine environment data, and determining the primary selected individuals according to the average fitness; Step 4.4, sequentially performing mutation operation, crossover operation and selection operation on the primary selected individuals to update and iterate the population and form a new generation population; Step 4.5, iteratively update the population multiple times, and when the number of iterations reaches a preset number, select the best individual in the population as the current optimal spatial arrangement structure; Step 5: Each environment collection device moves according to the current optimal spatial arrangement structure, and returns to step 3.

2. A method for collecting marine environment data according to claim 1, characterized in that: The monitoring tasks of the target ocean area include monitoring parameters, monitoring time, and monitoring frequency.

3. A method for collecting marine environment data according to claim 1, characterized in that: The initial spatial arrangement structure is a grid-type spatial arrangement structure.

4. A method for collecting marine environment data according to claim 1, characterized in that: In step 3, the collected ocean environment data include salinity, flow velocity, turbidity, sound pressure, and vibration velocity.

5. The method for collecting marine environment data according to claim 1, characterized in that: In step 4.3, the method for calculating the average fitness of individuals in the population is: Step 4.3.1, construct a virtual noise field model for each individual; Step 4.3.2, extracting the noise field change intensity characteristics of each environment collection device in the virtual noise field model in the vertical direction; Performing fitness matching processing on the noise field change intensity characteristics to obtain fitness parameters of each environment acquisition device; Step 4.3.3, calculate the average of the fitness parameters of each environmental collection device in each individual of the population.

6. A method for collecting marine environment data according to claim 1, characterized in that: In step 4.3, a preset number of preliminary individuals are selected using a roulette algorithm based on the average fitness.

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