A method for calculating the number of regional distribution of seabed data shelters

Abstract

The present invention proposes a method for calculating the number of seabed data cubes distributed in a region, and belongs to the field of marine engineering technology. The method first obtains the heating power of a single seabed data cube. Secondly, the regional range of the data cubes is determined, and the bottom area of ​​the regional range, the specific heat capacity of water in the regional range, the density of water in the regional range, the depth of water in the regional range and the flow rate of water in the regional range are obtained, and the range limit of the temperature change of water in the ocean is obtained. Finally, according to the law of the change of the flow rate of water with the depth, a calculation formula for the number of different seabed data cubes is obtained. The method embodies sustainability, and the method for calculating the number of seabed data cubes distributed in a region takes into account the impact of the heat dissipation of the data cubes on the marine ecological environment, achieves a balance between protection and utilization, and protects the integrity and stability of the marine ecosystem while meeting human needs.

Description

Technical Field

[0001] The invention belongs to the field of marine engineering technology, and in particular relates to a method for calculating the number of seabed data cabin regional distributions. Background Art

[0002] The seabed data shelter is an emerging industry. Existing calculations of the number of seabed data shelter areas usually take into account multiple factors, including space requirements, power requirements, heat dissipation and cooling requirements, network and communication requirements, and security requirements. However, there is a lack of consideration of the impact of the seabed temperature environment.

[0003] Specifically, when calculating the number of seabed data cabins in the existing regional range, first, determine the layout area of ​​the seabed data cabins, and determine it according to factors such as the geographical characteristics of the sea area, seabed topography, and marine environmental conditions; secondly, evaluate the demand for seabed data, including the type of data, data volume, and collection frequency, and evaluate the demand for seabed data to determine the demand for seabed data in each area; then, evaluate the capacity of the seabed data cabins, and evaluate the capacity demand of the seabed data cabins according to the demand for seabed data; then evaluate the layout density of the seabed data cabins, and evaluate the layout density of the seabed data cabins according to the capacity demand of the seabed data cabins. The layout density can be evaluated according to factors such as seabed topography and marine environmental conditions; finally, calculate the number of seabed data cabins, and calculate the number of seabed data cabins according to the layout density and regional range of the seabed data cabins.

[0004] Although the existing method for calculating the number of seabed data cubes takes into account aspects such as space requirements, power requirements, heat dissipation and cooling requirements, network and communication requirements, and security requirements; however, this method for calculating the number of seabed data cubes lacks consideration of the impact of the seabed temperature environment. Summary of the invention

[0005] The purpose of the present invention is to overcome the above problems existing in the prior art and greatly improve its technical effect on the basis of the original technology; for this purpose, the present invention provides a method for calculating the regional distribution number of seabed data shelters, the method comprising:

[0006] Obtain the heat generation power of a single seabed data cabin;

[0007] Determine the area where the data cabin is deployed, obtain the bottom area of ​​the area, the specific heat capacity of water in the area, the density of water in the area, the depth of water in the area, and the flow rate of water in the area; and obtain the range limit of the temperature change of water in the ocean;

[0008] According to the law of change of water flow velocity with depth, the calculation formula of the number of different seabed data cabins is obtained; the law of change of water flow velocity with depth is divided into three types, namely: water flow is uniform flow, water flow is stratified flow and water flow is random curve distribution flow; the uniform flow means that the water flow velocity remains unchanged with the change of depth; the stratified flow means that the depth of water is divided into multiple non-intersecting depth ranges, the flow velocity of water in the same depth range is the same, and the flow velocity in different depth ranges is different; the random curve distribution flow means that the water flow velocity is very unstable with the change of water depth, and changes in a random curve; the calculation formulas of the number of different seabed data cabins are:

[0009] When the water flow is uniform, the calculation formula for the number of seabed data cabins within the area is:

[0010]

[0011] Among them, C is the specific heat capacity of water in the area, S is the bottom area of ​​the area, v is the flow rate of water in the area, h is the depth of water in the area, ρ is the density of water in the area, ΔT is the range limit of the temperature change of water in the ocean, and Q is the heating power of a single seabed data cabin;

[0012] When the water flow is stratified, the calculation formula for the number of seabed data cabins within the area is:

[0013]

[0014] Where C is the specific heat capacity of water in the region, S is the bottom area of ​​the region, h1, h2, ... and h n It means that the water depth in the area is divided into n depth ranges, and the average depth of each depth range is extracted as h1, h2, ... and h n , v1, v2, … and v n are depths h1, h2, ... and h n The corresponding water flow rate, ρ is the density of water in the area, ΔT is the range limit of the temperature change of water in the ocean, and Q is the heating power of a single seabed data cabin;

[0015] When the water flow is a random curve distribution flow, the calculation formula for the number of seabed data cabins within the regional range is:

[0016]

[0017] Among them, C is the specific heat capacity of water in the regional range, S is the bottom area of ​​the regional range, ρ is the density of water in the regional range, ΔT is the range limit of the temperature change of water in the ocean, Q is the heating power of a single seabed data cabin, dh is the infinitesimal element of the depth of water in the regional range, v(h) is the curve of the change of the flow velocity v of water in the regional range with the depth h, and ∫ represents the integral sign.

[0018] Furthermore, the heat generation power of the submarine data cube is determined by the total power consumption of the internal devices; the heat generation power of a single submarine data cube is obtained by calculating the sum of the power consumption of all devices in the single submarine data cube.

[0019] Furthermore, the bottom area of ​​the regional range is obtained by: determining the boundary of the ocean regional range, converting the boundary coordinates into a geographic coordinate system, and calculating the bottom area of ​​the regional range using the geodesic method according to the converted geographic coordinate system; the specific heat capacity of water within the regional range includes: selecting a representative ocean base station, searching for relevant information of the representative ocean base station, and obtaining the specific heat capacity of water within the regional range; if the specific heat capacity of water within the regional range cannot be found, the average specific heat capacity of seawater is used; the density of water within the regional range includes: collecting ocean data, measuring water samples, measuring the temperature and salinity of water samples, and calculating the density of seawater according to the collected data; the depth of water within the regional range includes: obtaining the depth of water within the regional range through satellite remote sensing technology; the flow rate of water within the regional range includes: including but not limited to obtaining the flow rate of water by measuring the flow conditions on the surface of the water body through a ship hovering satellite and a laser rangefinder; the range limit of obtaining the temperature change of water in the ocean includes: including but not limited to obtaining the range limit of the temperature change of water in the ocean through research on oceanography, meteorology and ecology.

[0020] Furthermore, the calculation formula for obtaining the number of different seabed data cabins includes: the steps of obtaining the calculation formula for the number of different seabed data cabins are: a) calculating the total heat release of all seabed data cabins; b) calculating the heat absorbed by the ocean; c) equating the total heat release of all seabed data cabins with the heat absorbed by the ocean, and finally obtaining the number of seabed data cabins arranged within the regional range.

[0021] The beneficial effects of the present invention are:

[0022] The present invention proposes a method for calculating the regional distribution number of seabed data cubes; (1) the present invention embodies sustainability. The method for calculating the regional distribution number of seabed data cubes provided by the present invention takes into account the impact of the heat dissipation of the data cubes on the marine ecological environment, achieving a balance between protection and utilization, thereby protecting the integrity and stability of the marine ecosystem and meeting human needs; (2) by calculating the maximum amount of heat absorbed by the ocean, the heat dissipation requirements of the seabed data cubes can be reasonably planned, thereby making reasonable use of the ocean's heat absorption capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 : A flow chart of a method for calculating the regional distribution number of seabed data cabins of the present invention.

[0024] Figure 2 : Schematic diagram of the calculation model of the number of seabed data cabins when the water flow of the present invention is a uniform flow.

[0025] Figure 3 : Schematic diagram of the model for calculating the number of seabed data cabins when the water flow of the present invention is a stratified flow.

[0026] Figure 4 : Schematic diagram of the calculation model of the number of seabed data cabins when the water flow of the present invention is a random curve distribution flow. DETAILED DESCRIPTION

[0027] The specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings; it should be understood that the specific embodiments given here are only used to illustrate and explain the present invention and cannot be used to limit the present invention.

[0028] like Figure 1 As shown, it is a flow chart of a method for calculating the regional distribution number of seabed data cabins according to the present invention, and the flow chart includes: step S100, obtaining the heating power of a single seabed data cabin; step S101, determining the regional range of the data cabins, obtaining the bottom area of ​​the regional range, the specific heat capacity of water in the regional range, the density of water in the regional range, the depth of water in the regional range and the flow rate of water in the regional range; and obtaining the range limit of the temperature change of water in the ocean; step S102, according to the law of the change of water flow rate with depth, obtaining the calculation formula of different numbers of seabed data cabins; the law of the change of water flow rate with depth is divided into three types, namely: the water flow is uniform flow, the water flow is stratified flow and the water flow is random curve distribution flow; the water flow is uniform flow means that the water flow rate does not change with the depth; the water flow is stratified flow means that the depth of the water is divided into multiple non-intersecting depth ranges, the water flow rate in the same depth range is the same, and the flow rate in different depth ranges is different; the water flow is random curve distribution flow means that the water flow rate is very unstable with the change of water depth, and changes in a random curve.

[0029] Specifically, the present invention first obtains the heating power of a single seabed data cube; secondly, determines the area where the data cubes are arranged, obtains the bottom area of ​​the area, the specific heat capacity of water in the area, the density of water in the area, the depth of water in the area and the flow rate of water in the area, and obtains the range limit of the temperature change of water in the ocean; finally, according to the law of change of water flow rate with depth, obtains the calculation formula for different numbers of seabed data cubes.

[0030] Step S100, obtaining the heating power of a single seabed data cabin.

[0031] In the above embodiment, specifically, the heating power of a single seabed data cube is determined by the total power consumption of the internal devices; the heating power of a single seabed data cube is obtained by calculating the sum of the power consumption of all devices in the single seabed data cube.

[0032] Step S101, determine the area range for laying out the data cube, obtain the bottom area of ​​the area range, the specific heat capacity of water in the area range, the density of water in the area range, the depth of water in the area range and the flow rate of water in the area range; and obtain the range limit of the temperature change of water in the ocean.

[0033] In the above embodiment, specifically, the method for obtaining the bottom area of ​​the regional scope is: determining the boundary of the ocean regional scope, converting the boundary coordinates into a geographic coordinate system, and using the geodesic method to calculate the bottom area of ​​the regional scope according to the converted geographic coordinate system; the method for obtaining the specific heat capacity of water within the regional scope is: selecting a representative ocean base station, searching for relevant information of the representative ocean base station, and obtaining the specific heat capacity of water within the regional scope; if the specific heat capacity of water within the regional scope cannot be found, the average specific heat capacity of seawater is used; the method for obtaining the density of water within the regional scope is: collecting ocean data, measuring water samples, measuring the temperature and salinity of the water samples, and calculating the density of seawater according to the collected data; the method for obtaining the depth of water within the regional scope is: obtaining the depth of water within the regional scope through satellite remote sensing technology; the method for obtaining the flow rate of water within the regional scope is: measuring the flow conditions on the surface of the water body through ship hovering satellites and laser rangefinders, and obtaining the flow rate of water; the method for obtaining the range limit of the temperature change of water in the ocean is: obtaining the range limit of the temperature change of water in the ocean through research on oceanography, meteorology, ecology, etc.

[0034] Step S102, according to the law of change of water flow velocity with depth, obtain the calculation formula of the number of different seabed data cabins; the law of change of water flow velocity with depth is divided into three types, namely: water flow is uniform flow, water flow is stratified flow and water flow is random curve distribution flow; the water flow is uniform flow, which means that the water flow velocity remains unchanged with the change of depth; the water flow is stratified flow, which means that the depth of water is divided into multiple non-intersecting depth ranges, the flow velocity of water in the same depth range is the same, and the flow velocity in different depth ranges is different; the water flow is random curve distribution flow, which means that the water flow velocity is very unstable with the change of water depth, and changes in a random curve.

[0035] Specifically, the steps for obtaining the calculation formula for the number of different seabed data cabins are: calculating the total heat release of all seabed data cabins; calculating the heat absorbed by the ocean; equating the total heat release of all seabed data cabins with the heat absorbed by the ocean, and finally obtaining the number of seabed data cabins arranged within the area.

[0036] In the above embodiment, specifically, Figure 2 As shown, it is a schematic diagram of the calculation model of the number of seabed data cabins when the water flow is a uniform flow according to the present invention, and the schematic diagram includes: the bottom area within the S10 area, the flow velocity of the uniform flow S20, the depth of the water within the S30 area, and the S40 seabed data cabin; it can be seen from the figure that as the depth changes, the water flow velocity is the same everywhere.

[0037] In the above embodiment, specifically, the method for deriving the calculation formula for the number of seabed data cabins when the water flow is uniform is as follows: First, the heat release formula for all seabed data cabins is obtained as follows: Q 放 =nQt, where n represents a total of n submarine data cabins, Q represents the heat release power of a single submarine data cabin, t represents the heat release time of the submarine data cabin, Q 放 is the total heat released by n seabed data cabins in time t; then, the formula for obtaining the heat absorbed by the ocean is: Q 吸 =CSvhtρΔT, where C is the specific heat capacity of water in the region, S is the bottom area of ​​the region, v is the velocity of uniformly flowing water in the region, h is the depth of water in the region, t is the time for the ocean to absorb heat, ρ is the density of water in the region, ΔT is the range limit of the temperature change of water in the ocean, and Q 吸 is the heat absorbed by the ocean in time t; finally, let Q 放 =Q 吸 , the simplified calculation formula for the number of seabed data cabins when the water flow is uniform is:

[0038]

[0039] In the above embodiment, specifically, Figure 3 As shown, it is a schematic diagram of the calculation model of the number of seabed data cabins when the water flow is a stratified flow according to the present invention, which includes: the bottom area within the area S10, the average value of the depth range S21 is h1, and the average values ​​corresponding to a series of depth ranges S22 are specifically: h2, h3, ... and h n－1 , the average value of S23 depth range is h n , S11 The water velocity in the depth range with an average value of h1 is v1, S12 The water velocity in a series of depth ranges, specifically: the water velocity in the depth range with an average value of h2 is v2, the water velocity in the depth range with an average value of h3 is v3, ... and the water velocity in the depth range with an average value of h n－1 The velocity of water in the depth range is v n－1 , the average value of S13 is h n The velocity of water in the depth range is v n; S40 seabed data cabin; It can be seen from the figure that the stratified flow divides the depth of the water into multiple non-intersecting depth ranges. The flow velocity of the water in the same depth range is the same, and the flow velocity in different depth ranges is different.

[0040] In the above embodiment, specifically, the method for deriving the calculation formula for the number of seabed data cabins when the water flow is a stratified flow is as follows: First, the heat release formula for all seabed data cabins is obtained as follows: Q 放 =nQt, where n represents a total of n submarine data cabins, Q represents the heat release power of a single submarine data cabin, t represents the heat release time of the submarine data cabin, Q 放 is the total heat released by n seabed data cabins in time t; then, the formula for obtaining the heat absorbed by the ocean is: Q 吸 =CS(v1h1+v2h2+…+v n h n )tρΔT, where C is the specific heat capacity of water in the region, S is the bottom area of ​​the region, h1, h2, … and h n are the average values ​​corresponding to different depth ranges of water, v1, v2, ... and v n The corresponding average values ​​are h1, h2, ... and h n The velocity of water in the depth range, t represents the time it takes for the ocean to absorb heat, ρ is the density of water in the area, ΔT is the range limit of the temperature change of the water in the ocean, Q 吸 is the heat absorbed by the ocean in time t; finally, let Q 放 =Q 吸 , the simplified calculation formula for the number of seabed data cabins when the water flow is uniform is:

[0041]

[0042] In the above embodiment, specifically, Figure 4 As shown, it is a schematic diagram of the calculation model of the number of seabed data cabins when the water flow is a random curve distribution flow according to the present invention, and the schematic diagram includes: the bottom area within the S10 area, the depth of the water within the S30 area, the S40 seabed data cabin, and the S50 random curve function of the water flow rate varying with the depth; it can be seen from the figure that with the change of depth, the water flow rate changes in a smooth curve.

[0043] In the above embodiment, specifically, the method for deriving the calculation formula for the number of seabed data cabins when the water flow is a random curve distribution flow is as follows: First, the heat release formula for all seabed data cabins is obtained: Q 放 =nQt, where n represents a total of n submarine data cabins, Q represents the heat release power of a single submarine data cabin, t represents the heat release time of the submarine data cabin, Q 放is the total heat released by n seabed data cabins in time t; then, the formula for obtaining the heat absorbed by the ocean is: Q 吸 =CStρΔT∫v(h)dh, where C is the specific heat capacity of water in the region, S is the bottom area of ​​the region, t is the time it takes for the ocean to absorb heat, ρ is the density of water in the region, ΔT is the range limit of the temperature change of water in the ocean, ∫ is the integral sign, v(h) is the function of the flow rate of water changing with water depth, dh is the infinitesimal element of the seawater depth, Q 吸 is the heat absorbed by the ocean in time t; finally, let Q 放 =Q 吸 , the simplified calculation formula for the number of seabed data cabins when the water flow is a random curve distribution flow is:

[0044]

[0045] In summary, the steps for obtaining the calculation formula for different numbers of seabed data cubes are as follows: first, calculate the total heat release of all seabed data cubes; then, calculate the heat absorbed by the ocean; finally, equalize the total heat release of all seabed data cubes to the heat absorbed by the ocean to obtain the number of seabed data cubes arranged within the area.

[0046] It should be understood that the above-mentioned embodiments are one or more embodiments of the present invention, and there are many other embodiments and variations thereof based on the present invention; the variations and modifications made by ordinary technicians in this industry through the present invention without making pioneering innovations all fall within the scope of protection of the present invention.

Claims

1. A method for calculating the number of seabed data shelter area distribution, characterized in that: The method comprises the following steps: 1) Obtain the heat generation power of a single seabed data cabin; 2) Determine the area where the data cabin is deployed, obtain the bottom area of ​​the area, the specific heat capacity of water in the area, the density of water in the area, the depth of water in the area, and the flow rate of water in the area; and obtain the range limit of the temperature change of water in the ocean; 3) According to the law of change of water flow velocity with depth, the calculation formula of the number of different seabed data cabins is obtained; the law of change of water flow velocity with depth is divided into three types, namely: water flow is uniform flow, water flow is stratified flow and water flow is random curve distribution flow; the uniform flow means that the water flow velocity remains unchanged with the change of depth; the stratified flow means that the depth of water is divided into multiple non-intersecting depth ranges, the flow velocity of water in the same depth range is the same, and the flow velocity in different depth ranges is different; the random curve distribution flow means that the water flow velocity is very unstable with the change of water depth, and changes in a random curve; the calculation formulas of the number of different seabed data cabins are: When the water flow is uniform, the calculation formula for the number of seabed data cabins within the area is: Among them, C is the specific heat capacity of water in the area, S is the bottom area of ​​the area, v is the flow rate of water in the area, h is the depth of water in the area, ρ is the density of water in the area, ΔT is the range limit of the temperature change of water in the ocean, and Q is the heating power of a single seabed data cabin; When the water flow is stratified, the calculation formula for the number of seabed data cabins within the area is: Where C is the specific heat capacity of water in the region, S is the bottom area of ​​the region, h1, h2, ... and h n It means that the water depth in the area is divided into n depth ranges, and the average depth of each depth range is extracted as h1, h2, ... and h n , v1, v2, … and v n are depths h1, h2, ... and h n The corresponding water flow rate, ρ is the density of water in the area, ΔT is the range limit of the temperature change of water in the ocean, and Q is the heating power of a single seabed data cabin; When the water flow is a random curve distribution flow, the calculation formula for the number of seabed data cabins within the regional range is: Among them, C is the specific heat capacity of water in the regional range, S is the bottom area of ​​the regional range, ρ is the density of water in the regional range, ΔT is the range limit of the temperature change of water in the ocean, Q is the heating power of a single seabed data cabin, dh is the infinitesimal element of the depth of water in the regional range, v(h) is the curve of the change of the flow velocity v of water in the regional range with the depth h, and ∫ represents the integral sign.

2. The method for calculating the regional distribution number of seabed data shelters according to claim 1 is characterized in that: The method of obtaining the heating power of a single seabed data cube includes: the heating power of the seabed data cube is determined by the total power consumption of internal devices; and the heating power of the single seabed data cube is obtained by calculating the sum of the power consumption of all devices in the single seabed data cube.

3. The method for calculating the regional distribution number of seabed data shelters according to claim 1 is characterized in that: The method of obtaining the bottom area of ​​the regional scope includes: determining the boundary of the ocean regional scope, converting the boundary coordinates into a geographic coordinate system, and calculating the bottom area of ​​the regional scope using the geodesic method according to the converted geographic coordinate system; the method of obtaining the specific heat capacity of water in the regional scope includes: selecting a representative ocean base station, searching for relevant information of the representative ocean base station, and obtaining the specific heat capacity of water in the regional scope; if the specific heat capacity of water in the regional scope cannot be found, the average specific heat capacity of seawater is used; the method of obtaining the density of water in the regional scope includes: collecting ocean data, measuring water samples, measuring the temperature and salinity of water samples, and calculating the density of seawater according to the collected data; the method of obtaining the depth of water in the regional scope includes: obtaining the depth of water in the regional scope through satellite remote sensing technology; the method of obtaining the flow rate of water in the regional scope includes: obtaining the flow rate of water by measuring the flow conditions on the surface of the water body through a ship hovering satellite and a laser rangefinder; the method of obtaining the range limit of the temperature change of water in the ocean includes: obtaining the range limit of the temperature change of water in the ocean through research on oceanography, meteorology and ecology.

4. The method for calculating the regional distribution number of seabed data shelters according to claim 1 is characterized in that: The calculation formula for obtaining the number of different seabed data cabins includes: the steps of obtaining the calculation formula for the number of different seabed data cabins are: a) calculating the total heat release of all seabed data cabins; b) calculating the heat absorbed by the ocean; c) equalizing the total heat release of all seabed data cabins to the heat absorbed by the ocean, and finally obtaining the number of seabed data cabins arranged within the regional range.

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